Abstract
Background
Prolonged parental separation at young ages has significant adverse effects on development in left-behind-children (LBC). We aimed to compare mental health status, emotional and behavioural problems, and their association with socioemotional development between LBC and their counterparts.
Methods
Cross-sectional studies comparing LBC and non-LBC published from 2000 onwards were searched. Primary outcomes included depression, anxiety emotional and behavioural problems. Secondary outcomes included loneliness, self-harm, suicide, and risk-related behaviours. Quality of all included articles was assessed by Joanna Briggs Institute (JBI) critical appraisal. Data was analyzed by random model-based effect method.
Results
78 observational studies comprising of 394,308 children aged 2–18 were included. Compared to NLBC, LBC had significantly more depression, anxiety, emotional and behavioural problems, conduct problems, self-harm, loneliness, peer bullying, attempts of smoking and alcohol consumption. Subgroup analyses found that younger LBC between the ages of 6 to 12 were at greater risks of poor mental health, emotional and behavioural problems.
Conclusion
Absent parental care prevents healthy socio-emotional development and hinder the formation of secure attachment. Poor social-emotional development leads to worse emotional resilience against psychological stressors, while LBC residing in rural areas also experience additional risk factors of low household income and poor access to mental health services.
Impact statement
Prolonged parental separation negatively influences mental health, especially in younger children between the ages 6 to 12.
Poor social-emotional development in left-behind children is associated with worse emotional resilience against psychological stressors.
Additional risk factors including residing in rural areas, low household income, and poor access to mental health services predisposes left-behind children to high risks of mental illness.
Timely support services targeted towards strengthening resilience factor such as learning better emotional and behavioural coping strategies and improving school and peer support to address increased risk of mental health problems are required for current left-behind children.
Introduction
Left-behind children (LBC) are an expanding group of young individuals in their early childhood or adolescence exposed to long-term, work-related migration of one or both of their parents. Their wellbeing is being increasingly recognised as a prominent social, economic and health problem in many countries.1 The global prevalence of LBC is estimated to be more than 100 million.2 As a result of rapid urbanization in developing countries, a large number of rural residents from relatively poor, underdeveloped, and geographically isolated areas have chosen to migrate to cities for better job opportunities aimed to improve household income.3 Their children are left in the rural settings and their care is entrusted to grandparents, relatives or older siblings due to the high cost of living, schooling in cities and the long working hours.3
With improved household income, some studies showed positive effect of parental migration on overall wellbeing and development of LBC.4–7 However, a large proportion of epidemiological studies indicated the detriments of early and prolonged separation from parents on the development and mental health of LBC as compared to their counterparts of non-left-behind children (NLBC).
Studies conducted at countries with different income levels and demographic factors have indicated significant heterogeneity in the prevalence of emotional and behavioural problems in children, with an estimate from 5.5% to 18%.8–10 Multiple factors are thought to contribute to the development of these problems, including poverty, stressful school and family environments, negative life events, and living in rural areas.11 Left-behind children is a unique population vulnerable to emotional and behavioural problems as they are exposed to a range of risk factors associated with poor socioemotional development. Thus, LBC provides us with an important opportunity to assess the effect of aforementioned risk factors on emotional and behavioural problems.
Secure attachment formed between responsive and present caregivers and their child acts as the foundation for healthy socioemotional development.12 Children with healthy socioemotional development are more resilient against various psychological stressors that arise in social situations, as they are equipped with effective emotional and behavioural regulation strategies.13 In contrast, early and prolonged parental separation predisposes LBC to emotional and behavioural problems as secure attachment cannot be formed between LBC and their parents who are unable to respond timely to their needs.12,14,15 Thus, significantly higher prevalence of mental health problems, self-harm and suicidal ideation have been identified LBC than NLBC.16–19
To date, several meta-analyses have compared health outcomes, depression, and resilience of LBC to NLBC.2,20–24 However, a comprehensive analysis exploring individual parental migration experience and demographic characteristics on the manifestation of emotional and behavioural problems and depression in left-behind children have not yet been conducted. This meta-analysis aimed to compare prevalence of key mental health outcomes, and resilience factors among LBC and NLBC.
Methods
Search strategy
The review protocol was registered at Prospero (registration ID: CRD42021224069). A systemic research search conducted between November 2020 to April 2024 was performed using the following databases including MEDLINE, EMBASE, The Cochrane Library, Scopus, PsycINFO, and Web of Science.
Searches were confined to English literature published from 2000 onwards. Key terms searched have been described in appendix 1.
Inclusion criteria
The criteria used to determine the inclusion of studies in the systematic review and meta-analysis were as follows: (1) Left-behind children were defined as exposure to parental migration by one or both parents for more than six months; (2) migration can be domestic or internal; (3) primary outcomes of interest were depression, anxiety, emotional and behavioural problems; secondary outcomes include loneliness, self-harm, suicide, and health-related behaviours; (4) each study must have a comparison group present; (5) participants were aged 18 and below. Studies were excluded if: (1) children also migrated with parents; (2) in left-behind group, parental migration exposure was defined as anything less than six months; (3) qualitative studies or interventional studies. We specifically excluded studies without a comparison group as the study aimed to compare mental health outcomes between left-behind and non-left behind children. Without a comparison group, differences in prevalence or severity of mental health outcomes could not be determined.
Data extraction
Title and abstracts of non-duplicated papers using the search strategy were independently screened by two researchers to identify studies that potentially met the inclusion criteria outlined above. Full text of potentially eligible studies was then independently. Study characteristics data were then extracted individually by two researchers for evidence synthesis and assessment of study quality. In case of disagreements on inclusion of studies or data extraction, a third author was consulted. Extracted data included: title, country, publication year, sample size, study design, study population (number of LBC and NLBC), participant demographics (including age, ratio of sex, duration of separation from parents), primary and secondary outcomes, and study quality assessment score.
Quality assessment
The methodological quality of each study was assessed independently by two researchers using the Joanna Briggs Institute (JBI) critical appraisal. This tool is widely used for cross-sectional studies and meta-analyses in assessing the trustworthiness, relevance, and results of published papers.25 If JBI score was less than 5, then the study was considered for exclusion.
Statistical analysis
Outcome variables were reported as either continuous data or categorical data. Mean difference and effect size for continuous data variables such as depression score were analysed via random effects model. Categorical data outcomes were analysed in the form of risk ratios.
I² was used to assess heterogeneity. Egger regression analysis was conducted to assess publication bias, with further sensitivity analysis if publication bias was identified. Subgroup analyses were also conducted to identify additional factors that may explain any significant associations of poor mental health outcomes in LBC. All subgroup analyses were hypothesis driven. Parental migration status, where two parents have migrated has been significantly associated with worse child mental health outcomes amongst LBC in many previous studies.14 In terms of region of residence, LBC residing in rural regions have been found to have worse developmental outcomes due to worse access to healthcare and poor demographic factors such as lower household income and education.26 For mean age of child, being left-behind at younger ages have been shown to be a significant risk factor for worse mental health and socio-emotional and behavioural difficulties.27,28
Results
Selection of studies
We identified 2235 potential records. After removing 1482 duplicate studies, titles and abstracts of the remaining 753 studies were screened and 446 studies were excluded. Full-text reading of 307 studies was assessed for eligibility based on eligibility criteria and JBI score.
Of these, 229/307 (74.3%) were excluded. Detailed reasoning of excluded studies is presented in Fig. 1. After full-text assessments, 78 studies which met the eligibility criteria were included in this meta-analysis.
Fig. 1.
PRISMA flow chart of literature search.
Study characteristics
Full details of the included studies are shown in Table 1. Of the 78 studies, 77 studies conducted research in a single country, while one study recruited participants from multiple countries.29 Sixty-nine studies recruited participants living in China, four studies from Indonesia,30–33 three in Romania,34–36 two in Thailand,31,37 one in Philippines31 and two in Vietnam.31 In terms of study design, 74 studies were cross-sectional in nature, three were cohort studies,38–40 and one study was longitudinal.
Table 1.
Detailed characteristics of studies included in meta-analysis
| Study (year) | Country | Sample size | Sex: female, n (%) | Mean age | LBC, n (%) | Migrated parent | NLBC, n (%) | Study type | Data collection format | Mental health assessment tool | Outcome measured | Main caregiver for LBC | Quality assessment result |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adhikari et al.34 | Thailand | 1030 | 513 (49.8%) | 518 (50.3%) | Father (96.5%) | 512 (49.7%) | CS | Survey | SDQ | Emotional and behavioural problems, peer bullying, conduct problems | Parent: 494 (95.4%) | Yes | |
| Albin et al.26 | China | 2483 | 1219 (49.1%) | 14 | 963 (38.8%) | 1520 (61.2%) | CS | Survey | SDQ | Emotional and behavioural problems, peer bullying, academic pressure, conduct problems | Parent: 385 (40.6%) | Yes | |
| Akezhuoli et al.69 | China | 2183 | 956 (43.79%) | 13.04 | 1025 (46.95%) | Both | 1158 (53.05%) | CS | Survey | SDQ, Risk Behaviour Surveillance System (YRBSS), Young’s Internat Addiction test for Chinese (YIAT-C) | Conduct problems, smoking, drinking, internet addiction | Yes | |
| Botezat & Pfeiffer31 | Romania | 1421 | 682 (48.0%) | 13.06 | 279 (19.6%) | 1142 (80.4%) | CS | Survey | Depressive symptom questionnaire | Emotional and behavioural problems, peer bullying, academic pressure | Yes | ||
| Cai et al.60 | China | 1439 | 650 (45.17%) | 12.4 | 699 (48.58%) | Both | 740 (54.83%) | CS | Survey | Internet addiction, parent-child communication | Grandparents (97.4%) | Yes | |
| Chang et al.19 | China | 13952 | 6585 (47.2%) | 15.22 | 6034 (43.2%) | Father (54%) | 7918 (56.7%) | CS | Survey | University of California Los Angeles Loneliness Scale | Suicide ideation and attempt, peer bullying, loneliness | Parent: 4633 (76.7%) | Yes |
| Chen & Chan75 | China | 793 | 380 (48.0%) | 12.77 | 443 (55.9%) | 350 (44.1%) | CS | Survey | CES-DC | Depression, peer bullying, conduct problems | Grandparent: 241 (54.4%) | Yes | |
| Chen et al.98 | China | 600 | 410 (51.0%) | 13 | 227 (37.8%) | 373 (62.2%) | CS | Survey | Standardized questionnaire | Delinquency | Parent: 181 (59.5%) | Yes | |
| Cheng et al. (2010) | China | 306 | 150 (49.0%) | 12 | 223 (72.9%) | 83 (27.1%) | CS | Survey | SDQ | Psychological well-being | Yes | ||
| Chen and Hesketh99 | China | 437 | 222 (50.08%) | 14.85 | 273 (62.47%) | Both | 164 (47.53%) | CS | Survey | Children’s Depression Inventory (CDI-S), Rosenberg Self-esteem Scale (RSES) | Depression, self-esteem, academic | Grandparents (97.4%) | Yes |
| Cui et al.84 | China | 322 | 111 (47.8%) | 14.4 | 236 (73.3%) | 86 (26.7%) | CS | Survey | Rosenberg self-esteem scale, social support rating scale, | Self-esteem | Yes | ||
| Deng et al.87 | China | 436 | 13.85 | 149 (34.2%) | Both (100%) | 306 (70.2%) | CS | Survey | Youth self-report list, Teacher Support Subscale of MSPSS, Spence Children’s Anxiety Scale | Conduct problem, anxiety, school support | Yes | ||
| Faisal & Turnip27 | Indonesia | 629 | 340 (54.1%) | 13.5 | 359 (57.1%) | 270 (42.9%) | CS | Survey | Six-item De Jong Gierveld Loneliness Scale | Loneliness | Parent: 195 (54.3%) | Yes | |
| Fan et al.42 | China | 1274 | 620 (48.7%) | 12.4 | 629 (49.0%) | 645 (51.0%) | CS | Survey | SDQ | Emotional and behavioural problems, conduct problems, peer bullying | Yes | ||
| Fu et al.81 | China | 4413 | 2378 (52.7%) | 12.38 | 1997 (46.5%) | Father (50.2%) | 2416 (53.5%) | CS | Survey | CES-DC, multidimensional Anxiety Scale for Children | Suicide ideation and attempt | Parent: 1192 (56.8%) | Yes |
| Gao100 | China | 2558 | 1151 (45.0%) | 13.8 | 1126 (44.0%) | Father (68%) | 1432 (56.0%) | CS | Survey | Chinese version of Smoking Self-Efficacy Questionnaire | Health behaviours (smoking) | Parent: 1043 (92.6%) | Yes |
| Gao et al.71 | China | 2986 | 1451 (48.6%) | 14.2 | 541 (18.1%) | 2445 (81.9%) | CS | Survey | Chinese Youth Risk Behaviour Survey | Behavioural and emotional problems, loneliness, suicide intention and attempt, health behaviours (smoking and drinking) | Grandparent: 140 (25.9%) | Yes | |
| Gao et al.82 | China | 8958 | 4562 (48.9%) | 15.54 | 4716 (52.6%) | Both (70.06%) | 4242 (47.4%) | CS | Survey | Social adjustment scale for adolescents | Self-esteem, Parent-child relationship | Parent: 1438 (30.5%) | Yes |
| Graham & Jordan28 | Indonesia, Philippines, Thailand, Vietnam | 3876 | 1915 (49.4%) | 1961 (50.6%) | CS | Survey | SDQ | Emotional and behavioural problems, conduct problems | Yes | ||||
| Guang et al.50 | China | 6227 | 2952 (47.4%) | 12.68 | 4181 (67.1%) | Both (71.3%) | 2046 (32.9%) | CS | Survey | CDI | Depression, emotional and behavioural problems, conduct problems, peer bullying, academic pressure | Grandparent: 2798 (66.9%) | Yes |
| Guo et al.51 | China | 3759 | 1849 (49.2%) | 12.64 | 1247 (33.2%) | Both (33.9%) | 2512 (66.8%) | CS | Survey | CDI | Depression, parent-child relationship, school support, behavioural and emotional problems | Yes | |
| Hu et al.72 | China | 4479 | 2083 (46.5%) | 8.5 | 1053 (23.5%) | 3426 (76.5%) | CS | Survey | Achenbach Child Behaviour Checklist - school-age version | Emotional and behavioural problems | Yes | ||
| Huang et al.101 | China | 1363 | 654 (48.0%) | 10.04 | 608 (44.6%) | 755 (55.4%) | CS | Survey | Paediatric Quality of Life Inventory | Health-related quality of life | Grandparent: 479 (78.8%) | Yes | |
| Jia & Tian77 | China | 606 | 274 (45.2%) | 13 | 324 (53.5%) | 282 (46.5%) | CS | Survey | Children’s Loneliness Scale | Loneliness | Yes | ||
| Jiang et al.38 | China | 1367 | 601 (44.0%) | 12.2 | 779 (57.0%) | Both (51.2%) | 588 (43.0%) | CS | Interview | Standardized questionnaire | Health behaviours (alcohol), academic pressure | Parent: 380 (48.8%) | Yes |
| Jin et al.39 | China | 1233 | 543 (44.0%) | 764 (62.0%) | 469 (38.0%) | CS | Interview | Standardized questionnaire | Peer support, school support | Yes | |||
| Kharel et al. (2021) | Western Nepal | 460 | 326 (52.1%) | 14.3 | 77 (16.7%) | Both (100%) | 383 (83.3%) | CS | Survey | SDQ | Emotional and behavioural problem | Yes | |
| Lan & Radin49 | China | 738 | 403 (54.6%) | 15.87 | 246 (33.3%) | 492 (66.7%) | CS | Survey | Chinese Adaptation of the Child Behaviour Checklist | Behavioural problem | Yes | ||
| Li et al.102 | China | 3346 | 1647 (49.2) | 1663 (49.7%) | 1683 (50.3%) | CS | Survey | Chinese version of the suicidal module from modified MINI Kid 2.0, Olweus bullying questionnaire | Suicide, bullying | Yes | |||
| Ling et al.52 | China | 496 | 225 (45.4%) | 11.88 | 268 (54.0%) | Both (51.1%) | 228 (46.0%) | CS | Survey | Youth Self Report, Depression Self-rating Scale for Children, Children’s Loneliness Scale | Depression | Yes | |
| Lu et al.103 | China | 4338 | 1965 (45.3%) | 8.5 | 829 (19.1%) | Both (50.8%) | 3509 (80.9%) | CS | Survey | Behaviour Problems Index, Zhang-Yeung Test of Achievement | Psychological well-being, cognitive development | Yes | |
| Luo et al.35 | China | 1101 | 466 (42.3%) | 14 | 822 (74.7%) | 279 (25.3%) | Cohort | Survey | Mental Health Test, Resilience Youth Development Module | Mental health status, Resilience | Yes | ||
| Ma et al.79 | China | 15,623 | 7408 (48.4%) | 15.1 | 5963 (38.9) | 9660 (61.1) | CS | Survey | Loneliness scale, Resilience scale for Chinese Adolescents, Chinese version of Functional Assessment of Self-mutilation | Self-harm, suicide attempt, suicide ideation, loneliness, resilience | Yes | ||
| Man et al.53 | China | 2406 | 1191 (49.5%) | 14.44 | 1309 (54.4%) | Both (56%) | 1097 (45.6%) | CS | Survey | Scale of Mental Health for Chinese Middle-school Student | Depression, anxiety | Parent: 522 (39.9%) | Yes |
| Nguyen and Nguyen70 | Vietnam | 792 | 386 (48.74%) | 12.65 | 439 (55.43) | 353 (44.57%) | CS | Survey | SDQ | Emotional and behavioural problems, conduct problems, peer problems | Yes | ||
| Peng et al.78 | China | 15,232 | 7345 (48.2%) | 15.18 | 3752 (24.6%) | 11,480 (75.4%) | CS | Survey | Self-administered questionnaire | Internet addiction, Suicidal behaviours | Parents: 2146 (57.3%) | Yes | |
| Qu et al.40 | China | 19711 | 9773 (49.6%) | 7332 (37.2%) | 12379 (62.8%) | CS | Interview | Chinese version of the Child Behaviour Checklist, Mini International Neuropsychiatric Interview | Psychological problem | Yes | |||
| Shao et al.12 | China | 1250 | 588 (47.0%) | 11.22 | 635 (50.8%) | Both (29.44%) | 615 (49.2%) | CS | Survey | Child Loneliness Scale, Depression Self-Rating Scale for Children, Cohesion Subscale of the Family Adaptation and Cohesion Evaluation Scales II | Depression, parent-child relationship | Yes | |
| Shen et al.54 | China | 2283 | 1256 (55.0%) | 14.22 | 1397 (61.2%) | Both (15.5%) | 886 (38.8%) | CS | Survey | CDI, Screen for Child Anxiety Related Emotional Disorders | Depression, anxiety | Parent: 1185 (84.8%) | Yes |
| Shi et al.36 | China | 17635 | 8676 (49.2%) | Both (25.36%) | 8959 (50.8%) | Cohort | Survey | Mental Health Test, Social Anxiety Scale for Children, Self-esteem Scale | Anxiety, self-esteem | Yes | |||
| Sukamdi & Wattie29 | Indonesia | 451 | 227 (50.33%) | 207 (45.9%) | Both (54.1%) | 244 (54.1%) | CS | Survey | SDQ | Health behaviour (smoking) | Parent: 192 (92.8%) | Yes | |
| Tang (2016)55 | China | 1801 | 918 (50.916%) | 12.6 | 351 (19.49%) | Father (12.2%) | 1450 (80.51%) | CS | Survey | Standardized questionnaire | Depression | Yes | |
| Tang et al.41 | China | 3346 | 1740 (52%) | 13.9 | 1663 (49.7%) | 1683 (50.3%) | CS | Interview | Standardized questionnaire | Emotional and behavioural problems, peer bullying, loneliness | Grandparent: 1367 (82.2%) | Yes | |
| Tomsa & Jenaro32 | Romania | 326 | 158 (48.47%) | 13.5 | 163 (50%) | 163 (50%) | CS | Survey | State-Trait Anxiety Inventory for Children, short mood and feelings questionnaire, Anger Expression Scale for Children, Coping Strategies Checklist for Children | Anxiety | Yes | ||
| Turnip & Umami (2019)30 | Indonesia | 629 | 335 (53.2%) | 13.5 | 359 (57.1%) | 270 (42.9%) | CS | Survey | SDQ | Emotional and behavioural problem, conduct problems | Parent: 195 (54.3%) | Yes | |
| Vanore (2015)33 | Romania | 1979 | 991 (50.1%) | 10.8 | 471 (23.8%) | Father (11%) | 1508 (76.2%) | CS | Survey | SDQ | Emotional and behavioural problem | Parent: 414 (88%) | Yes |
| Wang CDC et al.83 | China | 1236 | 557 (45.1%) | 13.1 | CS | Survey | SDQ | Emotional and behavioural problems, peer support, conduct problems, peer bullying, loneliness, conduct problems, health behaviours (smoking, alcohol) | Yes | ||||
| Wang et al.104 | China | 1110 | 554 (49.9%) | 14.4 | 561 (50.5%) | Both (18.4%) | 549 (49.5%) | CS | Survey | The Adolescent Self-Harm Scale | Self-harm/ behavioural problems | Grandparents: 395 (70.4%) | Yes |
| Wang et al.44 | China | 4565 | 1981 (43.4%) | 13 | 3136 (68.7%) | 1429 (31.3%) | CS | Survey | SDQ, Youth Risk Behaviour Survey | Emotional and behavioural problems, peer support, conduct problems, smoking, alcohol | Yes | ||
| Wang et al.74 | China | 2186 | 956 (43.73%) | 15.1 | 1026 (46.94) | 1160 (43.06%) | CS | Survey | SDQ, self-injurious thoughts and behaviours (SITB), composite international diagnostic interview (CIDI) | Conduct problems, suicidal ideation, self-harm | Yes | ||
| Wang et al.47 | China | 124,357 | 22,855 (18.4%) | 101,502 (81.62%) | CS | Survey | Patient Health Questionnaire (PHQ-2) | Self-harm, depression | Yes | ||||
| Wang et al.66 | China | 1420 | 899 (46.9%) | 12.04 | 792 (55.77%) | 628 (44.23%) | CS | Survey | Cyber Victmin and Bullying Scale (CVBS) | Bullying | Yes | ||
| Wang F et al.76 | China | 1992 | 13.1 | 1259 (63.2%) | 733 (36.8%) | CS | Survey | Standardized questionnaire | Emotional and behavioural problems, peer support, suicide ideation and attempt, | Yes | |||
| Wang JY et al.56 | China | 1347 | 641 (47.6%) | 12.5 | 492 (36.5%) | Father (49.6%) | 855 (63.5%) | CS | Survey | Patient Health Questionnaire-9 for depression, General Anxiety Disorder-7 | Depression, anxiety, self-esteem | Parent: 412 (83.7%) | Yes |
| Wen & Lin (2011)7 | China | 635 | 314 (49.4%) | 12.8 | 313 (49.3%) | Both (24.1%) | 322 (50.7%) | CS | Survey | Standardized questionnaire | Psychological and behavioural problem | Grandparent: 228 (72.85%) | Yes |
| Wen et al.85 | China | 864 | 452 (52.3%) | 14.1 | 387 (44.8%) | Both (57.1%) | 477 (55.2%) | CS | Survey | Psychometric properties of positive youth development | Peer support, parent-child relationship, school support, academic pressure | Yes | |
| Wen et al.68 | China | 776 | 411 (53%) | 14.5 | 600 (77.3%) | Both (83.3%) | 176 (22.7%) | CS | Survey | Childhood Trauma Questionnaire-Short Form, Conners Teacher Rating Scale | Emotional and behavioural problems, conduct problems | Grandparent: 495 (82.5%) | Yes |
| Wu et al.57 | China | 624 | 375 (60.1%) | 12.5 | 162 (25.9%) | 462 (74.1%) | CS | Survey | CES-DC | Depression | Yes | ||
| Wu et al.37 | China | 11,153 | 5632 (50.5%) | 15.5 | Cohort (0, 1, 2 year) | Survey | Hospital anxiety and Depression scale (HADS) | Depression, loneliness, emotional and behavioural problems | Yes | ||||
| Wu et al.80 | China | 1175 | 607 (51.7%) | 14.54 | 469 (39.9%) | 706 (60.1%) | Longitudinal | Survey | UCLA loneliness scale, Social anxiety scale for children (SASC), mobile phone addiction index | Anxiety, loneliness, internet addiction | Yes | ||
| Xie et al.62 | China | 1957 | 11.93 | 1054 (53.86%) | 903 (46.14%) | CS | Survey | Children’s Depression Inventory (CDI), Beck’s depression inventory (BDI), Olweus Bully or Victim Questionnaire | Self-harm, depression, suicidal ideation | Yes | |||
| Xing (2017)67 | China | 928 | 482 (51.9%) | 14.2 | 401 (43.2%) | Father (68.7%) | 527 (56.8%) | CS | Survey | Paediatric Quality of Life Questionnaire (PedsQLTM4.0) | - | Yes | |
| Xu et al.64 | China | 534 | 283 (53%) | 13.1 | 440 (82.4%) | 94 (17.6%) | CS | Survey | Adolescent Psychological Adaptability Scale | Anxiety, academic pressure, loneliness, emotional and behavioural problems, conduct problem | Grandparents: 274 (62.3%) | Yes | |
| Xu et al.63 | China | 1036 | 497 (48%) | 380 (36.7%) | 656 (63.3%) | CS | Survey | Depression, bullying, academic stress | Yes | ||||
| Xu et al.105 | China | 1697 | 1131 (49.2%) | 11.9 | 912 (38.7%) | 785 (33.3%) | CS | Survey | Olweus Bully/ Victim Questionnaire (BVQ) | Bullying | Yes | ||
| Yan & Chen (2013) | China | 225 | 107 (47.6%) | 11.0 | 104 (46.2%) | 121 (53.8%) | CS | Survey | House-Tree-People test | Psychological development | Yes | ||
| Yue et al.58 | China | 1328 | 677 (51%) | 1036 (78%) | Both (22%) | 292 (22%) | CS | Survey | CDI—Chinese version | Depression, self-esteem, parent-child relationship | Yes | ||
| Zhang et al.59 | China | 8353 | 9088 (49.4%) | 7.58 | 13264 (72.1%) | Both (58.2%) | 5132 (27.9%) | CS | Survey | CDI—Chinese version | Depression, peer support, parent-child relationship, school support, peer bullying | Yes | |
| Zhang et al.45 | China | 4187 | 1980 (47.3%) | 8.46 | 1470 (35.1%) | 2717 (64.9%) | CS | Survey | SDQ | Emotional and behavioural problems, peer support, conduct problems, peer bullying, smoking, alcohol | Yes | ||
| Zhang et al.88 | China | 1,992 | 897 (45%) | 13.1 | 1,724 (86.5%) | 268 (13.5%) | CS | Survey | SDQ | Psychological well-being, cognitive development | Yes | ||
| Zhang et al.106 | China | 424 | 185 (43.6%) | 13.9 | 209 (49.3%) | 215 (50.7%) | CS | Survey | Conduct problem, Parent-child relationship, Loneliness | Yes | |||
| Zhao et al.1 | China | 2917 | 1383 (47.4%) | 12.5 | 1695 (58.1%) | 1222 (41.9%) | CS | Survey | Social Anxiety Scales for Children | Anxiety | Yes | ||
| Zhao et al.65 | China | 3538 | 1857 (52.5%) | 12.4 | 2837 (80.2%) | 701 (19.8%) | CS | Survey | SDQ | Emotional and behavioural problems, conduct problems, peer bullying | Grandparent: 1850 (65.2%) | Yes | |
| Zhao et al.46 | China | 2102 | 984 (46.8%) | 13.5 | 1423 (67.7%) | Both (17%) | 679 (32.3%) | CS | Survey | CDI–Chinese version | Depression, academic pressure, loneliness, conduct problems | Yes | |
| Zhao et al.107 | China | 322 | 111 (47.8%) | 14.4 | 236 (73.3%) | 86 (26.7%) | CS | Survey | Rosenberg self-esteem scale, social support rating scale | Self-esteem | Yes | ||
| Zhao et al.61 | China | 1704 | 844 (49.53%) | 11.9 | 561 (32.92%) | 1143 (67.08%) | CS | Survey | Children’s Depression Inventory (CDI), Beck’s depression inventory (BDI) | Suicidal ideation, depression | Yes | ||
| Zhang et al.88 | China | 2147 | 1,022 (47.6%) | 13.9 | 742 (34.6%) | 1405 (65.4%) | CS | Survey | Self-administered questionnaire | Life satisfaction, bullying | Yes | ||
| Zhou et al.48 | China | 5,026 | 1,763 (53.2%) | 12.6 | 3,316 (67%) | 1,636 (33%) | CS | Survey | SDQ | Emotional and behavioural problems | Yes | ||
| Zhou et al. (2021) | China | 2360 | 1289 (54.6%) | 15.0 | 1336 (56.6%) | 1024 (43.39%) | CS | survey | Smoking, alcohol consumption | Yes |
Outcome measurement
There was significant variation in the inclusion criteria and mental health assessment tools used for data collection across studies. Sixty-one studies data was collected using a questionnaire; four studies collected data by interviewing participants.41–44 Strengths and Difficulties questionnaire was the most commonly used survey.29,31–33,36,37,45–49
The total number of participants was 394,308 and the sample size of individual studies ranged from 22535 to 124,357.50 The estimated mean age of participants was 12.89 years, ranging from 6.51 years51 to 15.87.52 With 149,380 children identifying as ‘left-behind’, the LBC group accounted 37.9% of the study population.
Effects of left-behind status on psychological wellbeing of children
Depression symptoms
As presented in Table 2 and Fig. 2, nineteen studies with a total of 177,205 participants measured depressive symptoms.12,40,44,49–51,53–66 LBC had significantly greater depressive symptoms when compared to NLBC, with a mean difference of 1.362 (95% CI: 0.066 to 2.659; p < 0.05). Heterogeneity was statistically significant (I2 = 99.845%, p < 0.001).
Table 2.
Result of all variable analysis of included studies in meta-analysis
| Mean difference | Effect size | ||||||
|---|---|---|---|---|---|---|---|
| Continuous variables | Studies (n) | MD (95% CI) | Q test | I2(%) | Effect size (95% CI) | Q test | I2(%) |
| Depression | 19 | 1.362 (0.066, 2.659)* | 8397.56*** | 3994.90 | 0.603 (-0.014, 1.220) | 2192.13*** | 99.94 |
| SDQ | 9 | 1.128 (−17.786, 20.042) | 0.01 | 0.00 | 0.002 (−0.029, 0.032) | 0.01 | 0.03 |
| Anxiety | 9 | 1.471 (0.082, 2.860)* | 1025.61*** | 99.97 | 0.919 (0.057, 1.781)* | 9151.96*** | 99.83 |
| Self−esteem | 7 | −1.107 (−2.602, 0.389) | 2320.74*** | 99.93 | −0.924 (−2.015, 0.167) | 1614.73*** | 99.93 |
| Peer Support | 10 | −0.503 (−1.225, 0.220) | 2905.41*** | 99.78 | −0.698 (−2.048, 0.652) | 608.24*** | 99.96 |
| Parent Supports | 9 | −0.628 (−1.378, 0.121) | 212.78*** | 99.89 | −0.139 (−0.264, −0.014)* | 88.32*** | 95.90 |
| School Supports | 6 | −0.060 (−0.135, 0.015) | 24.02*** | 79.96 | −0.074 (−0.160, 0.012) | 25.60*** | 77.56 |
| Loneliness | 9 | 0.868 (−0.078, 1.815) | 275.97*** | 99.88 | 0.131 (0.018, 0.245)* | 42.85*** | 96.28 |
| Behavorial and emotional problems | 12 | 0.330 (0.191, 0.469)* | 191.26*** | 90.34 | 0.116 (0.048, 0.185)* | 51.66*** | 87.46 |
| Conduct problems | 13 | 0.108 (0.040, 0.176)* | 43.98*** | 63.69 | 0.090 (0.060, 0.120)* | 17.11 | 0.18 |
| Peer Bullying | 13 | 0.150 (0.060, 0.239)* | 157.17*** | 88.61 | 0.079 (0.013, 0.145)* | 111.62*** | 89.00 |
| Risk ratio | |||||||
| Categorical variables | RR (95% CI) | Q test | I2(%) | ||||
| Self−harm | 5 | 2.323 (1.309, 4.121)* | 103.58*** | 94.85 | |||
| Peer abuse and bullying | 11 | 1.466 (1.180, 1.820)* | 26.05** | 77.79 | |||
| Loneliness | 5 | 1.758 (0.998, 3.097) | 55.35*** | 87.46 | |||
| Behavioural and emotional problem | 9 | 1.803 (1.213, 2.679)* | 50.54*** | 84.34 | |||
| Conduct problem | 6 | 1.256 (0.847, 1.866) | 14.65* | 60.30 | |||
| Prolonged screen time and Internet addiction | 4 | 1.535 (0.861, 2.742) | 12.99** | 79.58 | |||
| Drinking | 6 | 1.866 (1.030, 3.381)* | 126.2*** | 94.55 | |||
| Smoking | 8 | 1.211 (0.679, 2.153) | 83.26*** | 89.70 | |||
*p < 0.05, **p < 0.01, ***p < 0.001
Fig. 2.
Forest plot for (a) Behavioural and emotional problems, (b) Conduct problems, (c) Strengths and difficulties questionnaire score, (d) Depression, (e) Smoking.
As presented in Table 3, subgroup analysis results found that younger LBC aged 6 to 12 had significantly worse depression level (MD = 1.281, 95% CI = 0.033 to 2.529, p < 0.05). No significant mean difference in depression scores between LBC and non-LBC is identified for children 13 years and older. Worse mean depression scores in LBC were only identified in studies that included current LBC (MD = 0.971, 95% CI = 0.163 to 1.779, p < 0.05). In terms of financial situation, children from a poorer household had significantly worse depression as compared to their NLBC counterparts (MD = 0.809, 95% CI = 0.590 to 1.027). Age of parental migration also influenced depression scores. Left-behind children whose parents migrated when they were under 7 years of age had significantly higher mean depression score compared to NLBC (MD = 0.656, 95% CI = 0.389, 0.924). However, parental migration when the child is 7 years or older did not significantly influence mean depression score in LBC.
Table 3.
Subgroup analysis for continuous variables (depression, SDQ, emotional and behavioural problems, smoking, and peer bullying)
| Subgroups | Studies (n) | Participants (n) | I2 (%) | Q-test | Mean difference (95% CI) |
|---|---|---|---|---|---|
| Depression | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 7 | 15,668 | 98.42 | 644.66 | 1.281 (0.033, 2.529)* |
| 13 | 7 | 9106 | 99.99 | 7487.10 | 2.306 (−0.927, 5.540) |
| Left behind Status | |||||
| Current | 11 | 159,381 | 1.813 | 880.44 | 0.971 (0.163, 1.779)* |
| Mixed | 2 | 1469 | 1.895 | 5.12 | 0.883 (−1.202, 2.969) |
| Region of residence | |||||
| Urban | 2 | 124,582 | 99.88 | 834.68 | 2.622 (−1.935, 7.179) |
| Rural | 13 | 24,792 | 99.96 | 7523.29 | 1.594 (−0.147, 3.334) |
| Mixed | 3 | 6752 | 62.20 | 5.46 | 0.466 (0.086, 0.846) |
| Mean GDP of province | |||||
| Above national standard | 5 | 147,764 | 99.99 | 7143.47 | 2.777 (−1.746, 7.300) |
| Below national standard | 7 | 10,257 | 90.60 | 65.53 | 0.455 (0.086, 0.824)* |
| Multiple provinces | 5 | 12,294 | 89.25 | 52.75 | 0.510 (0.096, 0.924)* |
| Financial situation | |||||
| Average (>2k yuan) | 4 | 12,370 | 99.98 | 7424.03 | 3.240 (−2.489, 8.968) |
| Poor (<2k yuan) | 3 | 10,072 | 41.39 | 4.38 | 0.809 (0.590, 1.027)* |
| Age of child when parents migrated | |||||
| <7 years old | 3 | 7307 | 0.00 | 0.09 | 0.656 (0.389, 0.924)* |
| 7 years old | 2 | 1779 | 99.03 | 102.84 | 7.136 (−2.487, 16.759) |
| SDQ | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 3 | 6193 | 90.95 | 16.47 | 1.121 (−0.163, 2.406) |
| 13 | 6 | 11,134 | 0.00 | 5.42 | 1.010 (0.803, 1.216)* |
| Left behind Status | |||||
| Current | 6 | 12,660 | 30.34 | 7.30 | 0.862 (0.623, 1.100)* |
| Mixed | 3 | 3998 | 81.90 | 11.50 | 1.580 (0.608, 2.552)* |
| Region of residence | |||||
| Rural | 5 | 10,183 | 84.58 | 18.10 | 1.184 (0.547, 1.822)* |
| Mixed | 3 | 6352 | 0.00 | 1.64 | 1.074 (0.800, 1.347)* |
| Parents migration status | |||||
| Mixed (one parent or both parents migrated) | 7 | 12,958 | 78.50 | 20.05 | 1.003 (0.537, 1.469)* |
| Both parents migrated | 2 | 4369 | 0.00 | 0.00 | 1.190 (0.863, 1.516)* |
| Main caregiver education level | |||||
| Junior high school or above | 2 | 6110 | 0.00 | 0.35 | 0.681 (0.375, 0.987)* |
| Primary school or below | 2 | 3905 | 91.31 | 11.51 | 1.605 (−0.059, 3.268) |
| Age of child when parents migrated | |||||
| <7 years old | 2 | 2015 | 54.78 | 2.21* | 2.029 (1.148, 2.909)* |
| 7 years old | 2 | 3393 | 0.00 | 0.00 | 0.800 (0.427, 1.173)* |
| Emotional and behavioural problems | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 4 | 12,420 | 74.07 | 11.59 | 0.404 (0.164, 0.644)* |
| 13 | 7 | 20,225 | 93.38 | 148.75 | 0.311 (0.134, 0.488)* |
| Left behind Status | |||||
| Current | 7 | 33,393 | 56.25 | 13.12 | 0.383 (0.285, 0.481)* |
| Mixed | 4 | 3621 | 85.46 | 28.07 | 0.246 (−0.103, 0.595) |
| Region of residence | |||||
| Rural | 7 | 31,319 | 94.45 | 143.60 | 0.316 (0.137, 0.495)* |
| Mixed | 3 | 4903 | 0.00 | 0.01 | 0.504 (0.374, 0.635)* |
| Main caregiver education level | |||||
| Junior high school or above | 2 | 19,374 | 23.42 | 1.31 | 0.306 (0.229, 0.384)* |
| Primary school or below | 2 | 3905 | 41.82 | 1.72 | 0.488 (0.293, 0.682)* |
| Smoking | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 3 | 6193 | 40.04 | 3.52 | 0.207 (0.061, 0.353)* |
| 13 | 10 | 11,894 | 80.27 | 27.99 | 0.077 (0.012, 0.143)* |
| Left behind Status | |||||
| Current | 6 | 12,343 | 17.60 | 6.56 | 0.127 (0.061, 0.194)* |
| Mixed | 6 | 6345 | 90.06 | 22.37 | 0.134 (−0.023, 0.292) |
| Region of residence | |||||
| Rural | 7 | 11,010 | 88.71 | 28.07 | 0.117 (−0.003, 0.237) |
| Mixed | 4 | 6886 | 0.00 | 1.98 | 0.158 (0.078, 0.238) |
| Parents migration status | |||||
| Mixed (one parent or both parents migrated) | 9 | 15,768 | 80.90 | 29.90 | 0.107 (0.017, 0.196)* |
| Both parents migrated | 3 | 3805 | 74.16 | 9.04 | 0.121 (0.003, 0.238)* |
| Main caregiver education level | |||||
| Junior high school or above | 2 | 6110 | 0.00 | 0.36 | 0.134 (0.036, 0.231)* |
| Primary school or below | 2 | 3905 | 78.15 | 4.58 | 0.232 (−0.060, 0.524) |
| Peer Bullying | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 4 | 12,420 | 65.60 | 7.66 | 0.226 (0.056, 0.395) |
| 13 | 5 | 22,988 | 0.00 | 0.62 | 0.166 (0.128, 0.204)* |
| Left behind Status | |||||
| Current | 8 | 25,429 | 70.71 | 22.92 | 0.141 (0.063, 0.218)* |
| Mixed | 2 | 2015 | 21.28 | 1.27 | 0.302 (0.106, 0.498)* |
| Region of residence | |||||
| Rural | 7 | 36,541 | 93.47 | 128.57 | 0.172 (0.032, 0.313)* |
| Mixed | 3 | 5405 | 77.46 | 9.91 | 0.094 (−0.056, 0.245) |
| Parents migration status | |||||
| Mixed (one parent or both parents migrated) | 11 | 25,575 | 91.11 | 151.09 | 0.147 (0.042, 0.253)* |
| Both parents migrated | 2 | 4369 | 0.00 | 0.24 | 0.175 (0.074, 0.276)* |
| Main caregiver education level | |||||
| Junior high school or above | 3 | 25,668 | 97.72 | 106.46 | 0.064 (−0.151, 0.279) |
| Primary school or below | 2 | 3905 | 47.73 | 1.91 | 0.276 (0.086, 0.466)* |
| Financial situation | |||||
| Average (>2k yuan) | 4 | 12,369 | 24.18 | 3.58 | 0.255 (0.144, 0.366)* |
| Poor (<2k yuan) | 2 | 8925 | 95.00 | 19.98 | 0.018 (−0.325, 0.360) |
*p < 0.05, **p < 0.01, ***p < 0.001
Anxiety symptoms
Nine studies with a total of 29,284 participants investigated anxiety in children35,39,56,57,59,67–69 LBC had significantly greater anxiety than NLBC, with a mean difference of 1.471 (95% CI: 0.082 to 2.860, p < 0.05) (See Table 2). A small significant effect size of 0.919 (95% CI: 0.057 to 1.781, p < 0.05) was also identified. Heterogeneity for mean difference (I2 = 99.97%, p < 0.001) and effect size were statistically significant (I2 = 99.83%, p < 0.001).
Emotional and behavioural problems
Twenty-one with 61,951 participants investigated emotional and behavioural problems in LBC.1,29,31,33,34,37,40,45,47,49,53,54,62,68,70–76 Twelve studies measured behavioural and emotional problems as a continuous variable, while nine studies measured behavioural and emotional problems as a categorical variable. As presented in Table 2, LBC had more emotional and behavioural problems than NLBC, with a mean difference of 0.330 (95% CI = 0.191 to 0.469; p < 0.05) and effect size of 0.116 (95% CI = 0.048 to 0.185). Heterogeneity for mean difference (I2 = 90.34%, p < 0.05) was statistically significant. Similar results were identified in studies that measured emotional and behavioural problems as a categorical variable. The risk of having behavioural and emotional problems was also greater in LBC (RR = 1.803, 95% CI = 1.213 to 2.679) than NLBC.
Thirteen studies with 37,942 participants investigated conduct problems as a continuous variable,1,40,45,49,53,62,68,70–73,77 and six studies with 24,009 participants analysed it as a categorical variable.29,31,33,37,78,79 As a continuous variable, the prevalence of conduct problems was significantly greater in LBC than NLBC (MD: 0.108, 95% CI: 0.040 to 0.176; p < 0.05), but its effect size was minimal at 0.090 (95% CI: 0.060 to 0.120; p < 0.05). As a categorical variable, the risk of having conduct problems was not significantly greater in LBC compared to NLBC (RR: 1.256, 95% CI: 0.847 to 1.866; p > 0.05). Heterogeneity was only significant for mean difference (I2 = 63.69%, p < 0.001).
Subgroup analysis results for categorical variables were reported in Table 4. Younger LBC aged 6 to 12 years (RR = 1.439, 95% CI = 1.014 to 2.043, p < 0.05) were at greater risks of having behavioural and emotional problems as compared to older LBC 13 years and over (RR = 1.234, 95% CI = 1.063 to 1.433, p < 0.05). Similarly, a greater mean difference in emotional and behavioural problem scores was identified between younger LBC and NLBC aged 6 to 12 (MD = 0.404, 95% CI = 0.164 to 0.644, p < 0.05) as compared to older children 13 years or more (MD = 0.311, 95% CI = 0.134 to 0.488, p < 0.05). Based on region of residence, only studies that included LBC from rural regions (RR = 1.259, 95% CI = 1.063, 1.492, p < 0.05) had a greater risk of having behavioural and emotional problems as compared to their NLBC counterparts.
Table 4.
Subgroup analysis for categorical outcomes (self-harm, smoking, behavioural and emotional problems)
| Subgroups | Studies (n) | Participants (n) | I2 (%) | Q-test | RRRisk Ratio difference (95% CI) |
|---|---|---|---|---|---|
| Self Harm | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 4 | 5867 | 79.24 | 16.52 | 1.268 (1.046, 1.538)* |
| 13 | 5 | 22,612 | 17.18 | 5.15 | 1.168 (1.122, 1.216)* |
| Region of residence | |||||
| Rural | 7 | 26,581 | 68.49 | 13.45** | 1.130 (1.045, 1.222)* |
| Mixed | 2 | 3654 | 0.00 | 0.003 | 1.479 (1.281, 1.709)* |
| Mean GDP of province | |||||
| Below national standard | 2 | 5387 | 77.83 | 4.51 | 1.587 (1.173, 2.148)* |
| Multiple provinces | 2 | 17,269 | 58.21 | 2.39 | 1.236 (0.953, 1.603) |
| Parents migration status | |||||
| One parent migrated only | 4 | 21,604 | 70.11 | 11.84 | 1.057 (0.918, 1.216) |
| Mixed (one parent or both parents migrated) | 7 | 24,004 | 56.74 | 13.95 | 1.255 (1.144, 1.376)* |
| Main caregiver | |||||
| Parents | 4 | 18,875 | 30.41 | 4.77 | 1.108 (0.983, 1.248) |
| Grandparents | 2 | 4139 | 86.89 | 7.51 | 1.106 (0.914, 1.339) |
| Smoking | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 2 | 6745 | 0.00 | 0.07 | 1.207 (1.073, 1.359)* |
| 13 | 6 | 17,514 | 91.30 | 71.65 | 1.049 (0.809, 1.360) |
| Left behind Status | |||||
| Current | 4 | 13,050 | 94.43 | 62.16 | 0.980 (0.747, 1.286) |
| Mixed | 2 | 4541 | 80.44 | 5.11 | 1.328 (0.799, 2.206) |
| Region of residence | |||||
| Urban | 1 | 2283 | 1.075 (0.718, 1.608) | ||
| Rural | 4 | 15,608 | 90.96 | 53.06 | 0.952 (0.715, 1.267) |
| Mixed | 2 | 4343 | 90.81 | 10.88 | 1.341 (0.885, 2.033) |
| Mean GDP of province | |||||
| Above national standard | 3 | 6954 | 84.87 | 17.12 | 0.868 (0.627, 1.203) |
| Below national standard | 2 | 4266 | 71.90 | 3.56 | 1.387 (0.899, 2.142) |
| Multiple province | 2 | 8654 | 21.57 | 1.27 | 1.143 (1.047, 1.248) |
| Parents migration status | |||||
| One parent migrated only | 2 | 4541 | 80.44 | 5.11 | 1.328 (0.799, 2.206) |
| Mixed (one parent or both parents migrated) | 6 | 15,784 | 89.33 | 63.34 | 1.014 (0.818, 1.257) |
| Mother’s education level | |||||
| Junior high school or above | 4 | 13,195 | 81.76 | 11.70 | 1.230 (1.008, 1.502)* |
| Primary school or below | 2 | 5269 | 80.93 | 5.24 | 0.808 (0.503, 1.299) |
| Financial situation | |||||
| Average (>2k yuan) | 3 | 9687 | 81.40 | 8.73 | 1.283 (0.999, 1.648) |
| Poor (<2k yuan) | 2 | 4918 | 0.00 | 0.22 | 1.093 (0.991, 1.205) |
| Emotional and behavioural problems | |||||
| Mean age of child (Years) | |||||
| 6 to 12 | 3 | 12,114 | 93.62 | 37.03 | 1.439 (1.014, 2.043)* |
| 13 | 5 | 10,865 | 69.16 | 13.16 | 1.234 (1.063, 1.433)* |
| Region of residence | |||||
| Rural | 6 | 14,953 | 79.94 | 22.57 | 1.259 (1.063, 1.492)* |
| Mixed | 2 | 7635 | 95.45 | 21.98 | 1.322 (0.782, 2.236) |
| Parents migration status | |||||
| One parent migrated only | 3 | 6859 | 62.65 | 5.64 | 1.223 (0.972, 1.537) |
| Mixed (one parent or both parents migrated) | 5 | 16,950 | 86.96 | 43.65 | 1.330 (1.094, 1.495)* |
| Mother’s education level | |||||
| Junior high school or above | 3 | 6210 | 48.00 | 3.90 | 1.512 (1.248, 1.833)* |
| Primary school or below | 3 | 8094 | 86.57 | 16.85 | 1.294 (0.969, 1.728) |
| Country | |||||
| China | 4 | 13,294 | 88.74 | 19.62 | 1.297 (1.027, 1.638)* |
| Other Asian countries | 4 | 9294 | 82.97 | 22.17 | 1.236 (0.961, 1.590) |
*p < 0.05, **p < 0.01
Similar subgroup analyses results for conduct problems as a continuous variable were found. At younger ages (MD = 0.207, 95% CI = 0.061 to 0.353, p < 0.05), a greater mean difference in conduct problems between LBC and NLBC was identified than studies with children with a mean age 13 years or more (MD = 0.077, 95% CI = 0.012 to 0.143, p < 0.05). Only studies that included current LBC resulted in significant mean differences in conduct problems between LBC and NLBC (MD = 0.127, 95% CI = 0.061, 0.194, p < 0.05).
Loneliness
Nine studies with a total of 50,495 participants explored loneliness as a continuous variable,10,40,49,68,70,80–83 and 5 studies with 22,303 participants measured loneliness as a categorical variable.19,30,44,74,79 No significant mean difference for loneliness experienced was found between LBC and non-LBC when measured as a continuous variable (MD: 0.868, 95% CI = −0.078 to 1.815; p > 0.05). However, a minor significant effect size of 0.131 (95% CI = 0.018 to 0.245, p < 0.05) was identified.
Self-harm
Five studies with a total of 147,013 participants explored suicide ideation and attempts,19,59,74,84. LBC had 2.323 times the risk (95% CI: 1.309 to 4.121; p < 0.05) of committing self-harm compared to NLBC. The heterogeneity was statistically significant (I2 = 94.85%, p < 0.001).
Self-esteem
Seven studies with a total of 31,982 participants measured self-esteem.39,44,63,67,85–87 No significant differences in self-esteem were found between LBC and NLBC.
Child support—peer, parent, and school
Nine studies with a total of 33,704 participants investigated parent-child relationships in the form of parental support.10,12,49,51,54,61,62,85,88 Parental support in this study was measured by parental responsiveness and sensitivity to needs of the child. Some scales used across different studies included the Parent-Child Relationship Scale (PCRS) and Family Adaptation and Cohesion Evaluation Scales.89,90 Parental support was significantly worse in LBC than NLBC with an effect size of −0.139 (95% CI = −0.264, −0.014, p < 0.05). The heterogeneity for effect size (I2 = 95.90%, p < 0.001) was statistically significant.
Ten studies with a total of 34,187 participants measured peer support,21,42,51,61,62,81,86–88,91 while six studies with a total of 14,567 participants measured school support.42,51,54,61,88,92 No significant differences in peer support and school support were found between LBC and NLBC.
Peer bullying
Eleven studies with a total of 36202 participants explored peer bullying as a categorical variable.19,29,34,37,44,66,72,73,77–79 While thirteen studies measured peer bullying as a continuous variable.1,45,49,51,53,61,62,66,72,73,77,86 LBC were 1.466 times more likely (95% CI = 1.180 to 1.820; p < 0.05) to have experienced peer bullying compared to NLBC. As a continuous variable, LBC were significantly more likely to have experienced peer bullying compared to NLBC (MD: 0.150, 95% CI: 0.060 to 0.239; p < 0.05). The heterogeneity was statistically significant (I2 = 88.61%, p < 0.001).
Subgroup analysis revealed that significant mean differences in peer bullying between LBC and NLBC were only found in children aged 13 years or older (MD = 0166, 95% CI = 0.128 to 0.204, p < 0.05). Significant mean differences in peer bullying between LBC and NLBC were only identified from studies that sampled children residing in rural regions (MD = 0.172, 95% CI = 0.032 to 0.313, p < 0.05).
Prolonged screen time and Internet addiction
Four studies with a total of 21,940 measured prolonged screen time and internet addiction.57,63,74,93 No significant difference was identified in prolonged screen time and internet addiction between LBC and NLBC.
Alcohol consumption and smoking
Six studies with a total of 31,666 participants investigated past attempts at drinking alcohol.41,62,74,86,91 LBC had 1.866 times the risk (95% CI = 1.030 to 3.381; p < 0.05) of having drunk alcohol previously compared to NLBC. The heterogeneity for smoking was statistically significant (I2 = 89.70%, p < 0.001). Although the risk for past attempts for drinking was significantly higher in LBC, no significant difference in risk for smoking was found between LBC and non-LBC.
Subgroup analysis revealed that LBC aged 6 to 12 were more likely to attempt smoking (RR = 1.207, 95% CI = 1.073 to 1.359, p < 0.05). No significant difference in attempt for smoking was identified for LBC and NLBC 13 years or older (RR = 1.049, 95% CI = 0.809 to 1.360, p < 0.05).
Publication bias
Egger test results in appendix 2 suggest publication bias is minimal for all outcome variables except parental support (Egger’s value = −5.071, p = 0.0007), loneliness (Egger’s value = 6.454, p = 0.006) and conduct problems (Egger’s value = 1.809, p = 0.0009). Sensitivity analysis was done on these variables by removing one study per time, the cumulative analysis suggested that the results are not due to any single study.
Discussion
Compared to controls that were not left behind, LBC was found to have more depression, anxiety, behavioural and emotional problems, conduct problems, self-harm, loneliness, peer bullying, and smoking and alcohol consumption.
Worse mental health in LBC may be explained by poor socio-emotional development at younger ages due to poor support from parents and peers, along with negative peer interactions.94 Lack of communication and contact from parents often lead to disruptions in parent-child attachment and greater feelings of loneliness amongst LBC. Disrupted parent-child attachment has been associated with worse emotional coping and depression.14 Similar results were also identified in the current study with LBC being at greater risk of having depression, behavioural and emotional problems, conduct problems, committing self-harm, and engaging in risk behaviours. While secure attachments allow for health socio-emotional development, equipping children with better social skills and coping strategies, disturbances in parent-child attachment are associated with reduced emotional resilience and poor emotional coping against psychological stress.14 Lack of healthy emotional coping and resilience against psychological stress predisposes LBC to greater risks of emotional and behavioural problems, poor mental health outcomes and engagement in risk behaviours.
Our findings of poor parental support in LBC and its association with more emotional and behavioural problems add value to existing knowledge, indicating the importance of parental support as a positive resilient factor in forming secure attachments to reach healthy socioemotional development as described in the resilience framework.95–97 Findings from our study supported results of previous studies that suggested an absence of parental care and the lack of adult models to demonstrate healthy emotional and behavioural patterns compromise the mental health of children and lead to more unsafe practices.98–100 Hence, poor socio-emotional development can increase the risk of engagement in risk behaviours such as smoking and drinking as an unhealthy emotional coping strategy against psychological stress. Lack of communication and distance between parents and LBC may lead to delayed and inappropriate responses to their child’s needs, which may further aggravate feelings of loneliness and isolation in LBC.101 Results from previous and the current study consistently suggest the importance of parents providing emotional and behavioural support and adult role models guiding children.100
The influence of parent-child attachment, family dynamics and parenting practices on the development of healthy emotional and behavioural regulation in children has been well established.15 Young age at separation for LBC acts as another contributing risk factor for poor mental health outcomes. Subgroup analysis revealed that studies with a younger LBC (mean age between 6 to 12 years) were at greater risks of poor mental health outcomes, including having higher mean score in depression, behavioural, and emotional problems, smoking attempts, conduct problems, and self-harm. This confirmed that parental migration at younger ages has a more significant influence on children. Although previous studies have found significantly worse mental health in LBC across children of all ages, majority of the studies and reviews have indicated worse anxiety and depression amongst LBC separated with their parents at younger ages.27,28 Young children are especially sensitive to the detrimental effects of disturbed family dynamics and absence of parental figures as rapid social and emotional development occurs in early childhood.13 However, prolonged parental separation at any age can have significant long-term detrimental effects on child socioemotional development and mental health.14,26–28
Negative peer interactions in the form of increased peer bullying may also explain worse mental health outcome in LBC. Poor socio-emotional development that accumulates from a younger age can negatively influence a child’s peer interactions at school. In the current study, we found that LBC were at greater risks of peer bullying victimization as compared to their counterparts that were not left behind. This aligns with previous studies that found a greater prevalence of bullying in children and adolescents with emotional, behavioural and conduct problems.102 Children with emotional, behavioural, and conduct problems may have difficulties in behavioural and emotional self-regulation, leading to destructive tantrums and outbursts of temper loss, hindering their ability to engage in social opportunities to form friendships at school.96 Bullying victimization presents as another psychological stressor linked to anxiety, depression and suicidality amongst children and adolescents.103 Disturbances in family dynamics at home due to prolonged separation from parents coupled with peer bullying at school can severely hurt the mental health of LBC.
In addition to prolonged and early parental separation, LBC are often left-behind in rural regions with worse structural and environmental supporting factors, including worse access to mental health and social services in conjunction with families poor financial situation and low income.95 In our study, we found that LBC residing in rural regions had significantly worse emotional and behavioural problems, lower SDQ scores and experienced more peer bullying than non-LBC, while no significant differences were identified between LBC and non-LBC in children residing in urban regions. Previous studies have identified multiple shortcomings in mental health services in rural China.79 This included a lack of available mental health services in rural towns and villages and a lack of mental health training in teachers, which prevents them from identifying signs of mental illness in children and adolescents.79
To mitigate adverse effects of being left behind, different promising interventions to improve psychological resilience have been implemented and researched. Interventions including group psychological services aimed to help LBCs develop emotional management strategies and improve psychological capital qualities such as self-efficacy, optimism, and hope have significantly improved mental health in LBC.46,104 Furthermore, the importance of a supportive school environment through peer and teacher support also appeared to be positive resilient factor to improve mental health and academic achievement.105,106
One limitation of the study was that most included studies were conducted in China and Southeast Asia. Thus, while the author acknowledges that cultural factors may influence resilience, this could not be analysed in the current study. Comparisons between LBC in low-to-middle-income countries and high-income countries also could not be made due to the lack of studies from different countries limiting the generalisability of the study.
Conclusions
Prolonged parental separation negatively influenced mental health, especially in younger children between the ages 6 to 12. As improving household income is the primary reason prompting parental migration from rural regions into urban cities, policies to reduce inequalities in job opportunities are required. For current LBC, teachers and peers play an important role in providing social support for LBC. Furthermore, timely support targeted towards strengthening resilience factors including emotional management, interpersonal relationships, stress management and self-esteem development are required to improve the mental health of LBC.
Supplementary information
Author contributions
K.L. extracted and analysed data, drafted and submitted the manuscript. L.M. extracted data and designed the study. J.C., N.F., and S.J. helped with paper screening and data extraction. J.S. supervised and revised the manuscript.
Funding
Open Access funding enabled and organized by CAUL and its Member Institutions.
Data availability
Extracted data will be made available upon reasonable request.
Competing interests
The authors declare no competing interests.
Consent
Participant consent was not required for this study as data were extracted from published studies.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41390-025-03894-5.
References
- 1.Zhao, X. et al. Left-behind children in rural China experience higher levels of anxiety and poorer living conditions. Acta Paediatr.103, 665–670 (2014). [DOI] [PubMed] [Google Scholar]
- 2.Fellmeth, G. et al. Health impacts of parental migration on left-behind children and adolescents: a systematic review and meta-analysis. Lancet392, 2567–2582 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ge, Y., Song, L., Clancy, R. F. & Qin, Y. Studies on left-behind children in China: reviewing paradigm shifts. N. Dir. Child Adolesc. Dev.2019, 115–135 (2019). [DOI] [PubMed] [Google Scholar]
- 4.Qin, J. & Albin, B. The mental health of children left behind in rural China by migrating parents: a literature review. J. Public Ment. Health9, 4–16 (2010).21160544 [Google Scholar]
- 5.Mansuri, G. Migration, Sex Bias, and Child Growth in Rural Pakistan. World Bank policy research working paper (2006).
- 6.Ban, L. et al. Child feeding and stunting prevalence in left-behind children: a descriptive analysis of data from a central and western Chinese population. Int J. Public Health62, 143–151 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wen, M. & Lin, D. H. Child development in rural China: children left behind by their migrant parents and children of nonmigrant families. Child Dev.83, 120–136 (2012). [DOI] [PubMed] [Google Scholar]
- 8.Simpson, G. Us Children with Emotional and Behavioral Difficulties: Data from the 2001, 2002, and 2003 National Health Interview Surveys (US Department of Health and Human Services, Centers for Disease Control and …, 2005).
- 9.Barkmann, C. & Schulte-Markwort, M. Emotional and behavioral problems of children and adolescents in Germany. Soc. Psychiatry Psychiatr. Epidemiol.40, 357–366 (2005). [DOI] [PubMed] [Google Scholar]
- 10.Ma, X., Yao, Y. & Zhao, X. Prevalence of behavioral problems and related family functioning among middle school students in an Eastern City of China. Asia‐Pacific Psychiatry5, E1–E8 (2013). [DOI] [PubMed] [Google Scholar]
- 11.Wang, J. N., Liu, L. & Wang, L. Prevalence and associated factors of emotional and behavioural problems in Chinese school adolescents: a cross‐sectional survey. Child.: Care, Health Dev.40, 319–326 (2014). [DOI] [PubMed] [Google Scholar]
- 12.Shao, J. J., Zhang, L., Ren, Y. N., Xiao, L. X. & Zhang, Q. H. Parent-child cohesion, basic psychological needs satisfaction, and emotional adaptation in left-behind children in China: an indirect effects model. Front. Psychol.9, 1023(2018). [DOI] [PMC free article] [PubMed]
- 13.Mondi, C. F., Giovanelli, A. & Reynolds, A. J. Fostering socio-emotional learning through early childhood intervention. Int. J. Child Care Educ. Policy15, 6 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lin, K., Ramos, S. & Sun, J. Urbanization, self-harm, and suicidal ideation in left-behind children and adolescents in China: a systematic review and meta-analysis. Curr. Opin. Psychiatry37, 225–236 (2024). [DOI] [PubMed] [Google Scholar]
- 15.Morris, A. S., Silk, J. S., Steinberg, L., Myers, S. S. & Robinson, L. R. The role of the family context in the development of emotion regulation. Soc. Dev.16, 361–388 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Xiao, Y. et al. Self-harm behaviors, suicidal ideation, and associated factors among rural left-behind children in West China. Ann. Epidemiol.42, 42–49 (2020). [DOI] [PubMed] [Google Scholar]
- 17.Foster, T., Gillespie, K. & McClelland, R. Mental disorders and suicide in Northern Ireland. Br. J. Psychiatry170, 447–452 (1997). [DOI] [PubMed] [Google Scholar]
- 18.Jones, P., Murray, R., Rodgers, B. & Marmot, M. Child developmental risk factors for adult schizophrenia in the British 1946 birth cohort. Lancet344, 1398–1402 (1994). [DOI] [PubMed] [Google Scholar]
- 19.Chang, H. et al. A comparative analysis of suicide attempts in left-behind children and non-left-behind children in rural China. PLOS ONE12, e0178743 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ding, L., Yuen, L.-W., Buhs, E. S. & Newman, I. M. Depression among Chinese left-behind children: a systematic review and meta-analysis. Child. Care, Health Dev.45, 189–197 (2019). [DOI] [PubMed] [Google Scholar]
- 21.Wang, Y.-Y. et al. The prevalence of depressive symptoms in ‘left-behind children’ in China: a meta-analysis of comparative studies and epidemiological surveys. J. Affect. Disord.244, 209–216 (2019). [DOI] [PubMed] [Google Scholar]
- 22.Liang, Y., Wang, L. & Rui, G. Depression among left-behind children in China. J. Health Psychol.22, 1897–1905 (2016). [DOI] [PubMed] [Google Scholar]
- 23.Dong, B. et al. The resilience status of Chinese left-behind children in rural areas: a meta-analysis. Psychol. Health Med.24, 1–13 (2019). [DOI] [PubMed] [Google Scholar]
- 24.Zhang, J., Yan, L. & Yuan, Y. Rural-urban migration and mental health of Chinese migrant children: systematic review and meta-analysis. J. Affect. Disord.257, 684–690 (2019). [DOI] [PubMed] [Google Scholar]
- 25.Munn, Z. et al. Methodological quality of case series studies: an introduction to the JBI critical appraisal tool. JBI Evid. Synth.18, 2127–2133 (2020). [DOI] [PubMed] [Google Scholar]
- 26.Lin, K. et al. Quality of childcare and delayed child development in left-behind children in China. Pediatr. Res95, 809–818 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Liu, Z., Li, X. & Ge, X. Left too early: the effects of age at separation from parents on Chinese rural children’s symptoms of anxiety and depression. Am. J. Public Health99, 2049–2054 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hui, L., Fu, E. & Jian-ren, Z. Effects of separation age and separation duration among left-behind children in China. Soc. Behav. Person. An Int. J.43, 241–254 (2015).
- 29.Albin, B., Qin, J. & Hong, Z. Mental health in the left-behind children in the Fijian Province of China. J. Public Ment. Health12, 21–31 (2013). [Google Scholar]
- 30.Faisal, C. M. & Turnip, S. S. Predictors of loneliness among the left-behind children of migrant workers in Indonesia. J. Public Ment. Health18, 49–57 (2019). [Google Scholar]
- 31.Graham, E. & Jordan, L. P. Migrant parents and the psychological well-being of left-behind children in Southeast Asia. J. Marriage Fam.73, 763–787 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sukamdi & Wattie, A. M. Tobacco use and exposure among children in migrant and non-migrant households in Java, Indonesia. Asian Pac. Migr. J.22, 447–464 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Umami, R. & Turnip, S. S. Emotional and behavioral problems among left-behind children in Indonesia. Indian J. Psychol. Med.41, 240–245 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Botezat, A. & Pfeiffer, F. The impact of parental labour migration on left-behind children’s educational and psychosocial outcomes: evidence from Romania. Population Space Place26, e2277 (2020).
- 35.Tomsa, R. & Jenaro, C. Children left behind in romania: anxiety and predictor variables. Psychol. Rep.116, 485–512 (2015). [DOI] [PubMed] [Google Scholar]
- 36.Vanore, M., Mazzucato, V. & Siegel, M. Left behind’ but not left alone: parental migration & the psychosocial health of children in Moldova. Soc. Sci. Med.132, 252–260 (2015). [DOI] [PubMed] [Google Scholar]
- 37.Adhikari, R. et al. The impact of parental migration on the mental health of children left behind. J. Immigr. Minor Health16, 781–789 (2014). [DOI] [PubMed] [Google Scholar]
- 38.Luo, Y. et al. Resilience in rural left-behind middle school students in Yunyang County of the Three Gorges Area in China: A prospective cohort study. BMC Psychiatry16, 77 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Shi, Y. J., Bai, Y., Shen, Y. N., Kenny, K. & Rozelle, S. Effects of parental migration on mental health of left-behind children: evidence from Northwestern China. China World Econ.24, 105–122 (2016). [Google Scholar]
- 40.Wu, Y. L. et al. The risk and protective factors in the development of childhood social anxiety symptoms among Chinese Children. Psychiatry Res.240, 103–109 (2016). [DOI] [PubMed] [Google Scholar]
- 41.Jiang, S. et al. Alcohol consumption is higher among left-behind Chinese children whose parents leave rural areas to work. Acta Paediatr.104, 1298–1304 (2015). [DOI] [PubMed] [Google Scholar]
- 42.Jin, X., Chen, W., Sun, I. Y. & Liu, L. Physical health, school performance and delinquency: a comparative study of left-behind and non-left-behind children in rural China. Child Abus. Negl.109, 104707 (2020). [DOI] [PubMed] [Google Scholar]
- 43.Qu, Y., Jiang, H., Zhang, N., Wang, D. & Guo, L. Prevalence of mental disorders in 6-16-year-old students in Sichuan Province, China. Int J. Environ. Res Public Health12, 5090–5107 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Tang, W. et al. Mental health and psychosocial problems among Chinese left-behind children: a cross-sectional comparative study. J. Affect. Disord.241, 133–141 (2018). [DOI] [PubMed] [Google Scholar]
- 45.Fan, F., Su, L., Gill, M. K. & Birmaher, B. Emotional and behavioral problems of Chinese left-behind children: a preliminary study. Soc. Psychiatry Psychiatr. Epidemiol.45, 655–664 (2010). [DOI] [PubMed] [Google Scholar]
- 46.Wang, F. et al. Mental health among left-behind children in rural China in relation to parent-child communication. Int. J. Environ. Res. Public Health16, 1855 (2019). [DOI] [PMC free article] [PubMed]
- 47.Wang, F. et al. Mental health and substance use in urban left-behind children in China: a growing problem. Children Youth Serv. Rev.116, 105135 (2020).
- 48.Zhang, X., Li, M. J., Guo, L. & Zhu, Y. N. Mental health and its influencing factors among left-behind children in South China: a cross-sectional study. Bmc Public Health19, 1725 (2019). [DOI] [PMC free article] [PubMed]
- 49.Zhao, J. X., Li, Q. Y., Wang, L. W., Lin, L. Y. & Zhang, W. X. Latent profile analysis of left-behind adolescents’ psychosocial adaptation in rural China. J. Youth Adolescence48, 1146–1160 (2019). [DOI] [PubMed] [Google Scholar]
- 50.Wang, D. et al. Associations between family function and non-suicidal self-injury among Chinese urban adolescents with and without parental migration. Child Psychiatry Human Dev. (2023). [DOI] [PubMed]
- 51.Zhou, Y. Y. et al. Interaction status, victimization and emotional distress of left-behind children: a national survey in China. Children Youth Serv. Rev.118 (2020).
- 52.Lan, X. Y. & Radin, R. Direct and Interactive Effects of Peer Attachment and Grit on Mitigating Problem Behaviors among Urban Left-Behind Adolescents. J. Child Fam. Stud.29, 250–260 (2020). [Google Scholar]
- 53.Guang, Y. et al. Depressive symptoms and negative life events: what psycho-social factors protect or harm left-behind children in China? BMC Psychiatry17, 402 (2017). [DOI] [PMC free article] [PubMed]
- 54.Guo, J. et al. Depression among migrant and left-behind children in China in relation to the quality of parent-child and teacher-child relationships. PLoS ONE10 (2015). [DOI] [PMC free article] [PubMed]
- 55.Ling, H., Fu, E. & Zhang, J.-r Effects of Separation Age and Separation Duration among Left-Behind Children in China. Soc. Behav. Personality: Int. J.43, 241–254 (2015). [Google Scholar]
- 56.Man, Y., Mengmeng, L., Lezhi, L., Ting, M. & Jingping, Z. The psychological problems and related influential factors of left-behind adolescents (Lba) in Hunan, China: a cross sectional study. Int. J. Equity Health16, e0145606 017). [DOI] [PMC free article] [PubMed]
- 57.Shen, M. et al. Parental migration patterns and risk of depression and anxiety disorder among rural children aged 10-18 years in China: a cross-sectional study. Bmj Open5 (2015). [DOI] [PMC free article] [PubMed]
- 58.Tang, Z. What makes a difference to children’s health in rural China? Parental migration, remittances, and social support. Chin. Sociol. Rev.49, 89–109 (2017). [Google Scholar]
- 59.Wang, J. Y. et al. Mental health symptoms among rural adolescents with different parental migration experiences: a cross-sectional study in China. Psychiatry Res.279, 222–230 (2019). [DOI] [PubMed] [Google Scholar]
- 60.Wu, Q. B., Lu, D. P. & Kang, M. Social capital and the mental health of children in rural China with different experiences of parental migration. Soc. Sci. Med.132, 270–277 (2015). [DOI] [PubMed] [Google Scholar]
- 61.Yue, Z. S., Liang, Z., Wang, Q. & Chen, X. Y. The impact of parental migration on depression of children: new evidence from rural China. Chin. Sociol. Rev.52, 364–388 (2020). [Google Scholar]
- 62.Zhang, Q. et al. Migrate with parent(s) or not? Developmental outcomes between migrant and left-behind children from rural China. Child Indic. Res.12, 1147–1166 (2018). [Google Scholar]
- 63.Cai, J. J. et al. The association of parent-child communication with internet addiction in left-behind children in China: a cross-sectional study. Int. J. Public Health66, 630700 (2021). [DOI] [PMC free article] [PubMed]
- 64.Zhao, G. L. et al. Health status and association with interpersonal relationships among Chinese children from urban migrant to rural left-behind. Front. Public Health10 (2022). [DOI] [PMC free article] [PubMed]
- 65.Xie, Q. W. et al. Mental health problems amongst left-behind adolescents in China: serial mediation roles of parent-adolescent communication and school bullying victimisation. Br. J. Social Work53, 994–1018 (2023). [Google Scholar]
- 66.Xu, X. H., Sun, I. Y. & Wu, Y. N. Strain, depression, and deviant behavior among left-behind and non-left-behind adolescents in China. Int. Sociol.38, 394–410 (2023). [Google Scholar]
- 67.Xu, W., Yan, N., Chen, G., Zhang, X. & Feng, T. Parent–child separation: the relationship between separation and psychological adjustment among Chinese rural children. Qual. Life Res.27, 913–921 (2018). [DOI] [PubMed] [Google Scholar]
- 68.Zhao, C., Wang, F., Li, L., Zhou, X. & Hesketh, T. Long-term impacts of parental migration on Chinese children’s psychosocial well-being: mitigating and exacerbating factors. Soc. Psychiatry Psychiatr. Epidemiol.52, 669–677 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Wang, M. M., Lou, J. X., Xie, X. L., Zhao, G. L. & Zhu, H. Parental migration and cyberbullying victimization among Chinese left-behind children: understanding the association and mediating factors. Front. Public Health12, 1194940 (2024). [DOI] [PMC free article] [PubMed]
- 70.Xing, H. Y., Yu, W., Xu, F. J. & Chen, S. M. Influence of social support and rearing behavior on psychosocial health in left-behind children. Health Quality Life Outcomes15, 13 (2017). [DOI] [PMC free article] [PubMed]
- 71.Wen, Y.-J. et al. The effect of left-behind phenomenon and physical neglect on behavioral problems of children. Child Abus. Negl.88, 144–151 (2019). [DOI] [PubMed] [Google Scholar]
- 72.Akezhuoli, H. et al. Mother’s and father’s migrating in China: differing relations to mental health and risk behaviors among left-behind children. Front. Public Health10, 894741 (2022). [DOI] [PMC free article] [PubMed]
- 73.Nguyen, D. B. & Nguyen, L. V. Mental health among left-behind children in Vietnam: role of resilience. Int. J. Mental Health 1–16 (2022).
- 74.Gao, Y. et al. The impact of parental migration on health status and health behaviours among left behind adolescent school children in China. BMC Public Health10, 56 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Hu, H. W. et al. A comparative study of behavior problems among left-behind children, migrant children and local children. Int. J. Environ. Res. Public Health15, 655 (2018). [DOI] [PMC free article] [PubMed]
- 76.Tang, W. et al. Mental health and psychosocial problems among Chinese left-behind children: a cross-sectional comparative study. J. Affect Disord.241, 133–141 (2018). [DOI] [PubMed] [Google Scholar]
- 77.Wang, F. et al. Impact of parental divorce versus separation due to migration on mental health and self-injury of Chinese children: a cross sectional survey. Child Adolesc. Psychiatry Mental Health15 (2021). [DOI] [PMC free article] [PubMed]
- 78.Chen, M. & Chan, K. L. Parental absence, child victimization, and psychological well-being in rural China. Child Abus. Negl.59, 45–54 (2016). [DOI] [PubMed] [Google Scholar]
- 79.Wang, F., Lu, J., Lin, L. & Zhou, X. Mental health and risk behaviors of children in rural China with different patterns of parental migration: a cross-sectional study. Child Adolesc. Psychiatry Ment. Health13, 39 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Jia, Z. & Tian, W. Loneliness of left-behind children: a cross-sectional survey in a sample of rural China. Child Care Health Dev.36, 812–817 (2010). [DOI] [PubMed] [Google Scholar]
- 81.Peng, C. et al. Association between internet addiction and suicidal ideation, suicide plans, and suicide attempts among Chinese adolescents with and without parental migration. Comput. Hum. Behav.125, 106949 (2021). [Google Scholar]
- 82.Ma, Y. et al. Association of the labor migration of parents with nonsuicidal self-injury and suicidality among their offspring in China. Jama Network Open4, e2133596 (2021). [DOI] [PMC free article] [PubMed]
- 83.Wu, D. H., Liu, M. H., Li, D. & Yin, H. Z. The longitudinal relationship between loneliness and both social anxiety and mobile phone addiction among rural left-behind children: a cross-lagged panel analysis. J. Adolesc.96, 969-982 (2024). [DOI] [PubMed]
- 84.Fu, M., Xue, Y., Zhou, W. & Yuan, T. F. Parental absence predicts suicide ideation through emotional disorders. PLoS One12, e0188823 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Gao, F. et al. The status of pro-social tendency of left-behind adolescents in China: how family function and self-esteem affect pro-social tendencies. Front. Psychol.10, 1202 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Wang, C. D. C., Hayslip, B., Sun, Q. & Zhu, W. Grandparents as the primary care providers for their grandchildren: a cross-cultural comparison of Chinese and U.S. samples. Int. J. Aging Hum. Dev.89, 331–355 (2019). [DOI] [PubMed] [Google Scholar]
- 87.Cui, S. et al. Self-esteem, social support and coping strategies of left-behind children in rural China, and the intermediary role of subjective support: a cross-sectional survey. BMC Psychiatry21, 158 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Wen, M., Su, S., Li, X. & Lin, D. Positive youth development in rural China: the role of parental migration. Soc. Sci. Med.132, 261-269 (2014). [DOI] [PMC free article] [PubMed]
- 89.Quintigliano, M., Fortunato, A., Lauriola, M. & Speranza, A. M. Parent-child relationship scale (P-Crs): a valid and clinically sensitive tool for assessing the parent-child relationship. Infant Ment. Health J.44, 92–99 (2023). [DOI] [PubMed] [Google Scholar]
- 90.Alexander, B. B., Johnson, S. B. & Carter, R. L. A psychometric study of the family adaptability and cohesion evaluation scales. J. Abnorm. Child Psychol.12, 199–207 (1984). [DOI] [PubMed] [Google Scholar]
- 91.Wang, Q., Wang, H. & Liu, X. Loneliness, non-suicidal self-injury, and friendship quality among Chinese left-behind adolescents: the role of parent-child cohesion. J. Affect. Disord.271, 193–200 (2020). [DOI] [PubMed] [Google Scholar]
- 92.Deng, N., Bi, H. & Zhao, J. Maternal psychological control and rural left-behind children’s anxiety: the moderating role of externalizing problem behavior and teacher support. Front. Psychol.12, 624372 (2021). [DOI] [PMC free article] [PubMed]
- 93.Zhang, H., Zhou, H. & Cao, R. Bullying Victimization among Left-Behind Children in Rural China: Prevalence and Associated Risk Factors. J. Interpers. violence36, NP8414–NP8430 (2021). [DOI] [PubMed] [Google Scholar]
- 94.Mo, X., Shi, G., Zhang, Y., Xu, X. & Ji, C. How to promote the social–emotional competence of rural left-behind children? An empirical study based on propensity score matching. Front. Psychol.14, 1052693 (2023). [DOI] [PMC free article] [PubMed]
- 95.Deirdre, G. et al. What factors are associated with resilient outcomes in children exposed to social adversity? A systematic review. BMJ Open9, e024870 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Butler, N. et al. The contributing role of family, school, and peer supportive relationships in protecting the mental wellbeing of children and adolescents. Sch. Ment. Health14, 776–788 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Masten, A. S. & Palmer, A. R. in Handbook of Parenting 156-188 (Routledge, 2019).
- 98.Schoppe, S. J., Mangelsdorf, S. C. & Frosch, C. A. Coparenting, family process, and family structure: implications for preschoolers’ externalizing behavior problems. J. Fam. Psychol.15, 526 (2001). [DOI] [PubMed] [Google Scholar]
- 99.Li, X., Yang, S. & Wang, M. Comparison of personality characteristics and behavior problems of the divorce family’s children. Chin. J. Health Psychol.13, 375–376 (2005). [Google Scholar]
- 100.Votruba‐Drzal, E., Coley, R. L., Maldonado‐Carreño, C., Li‐Grining, C. P. & Chase‐Lansdale, P. L. Child care and the development of behavior problems among economically disadvantaged children in middle childhood. Child Dev.81, 1460–1474 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Shuang, M. et al. Relationship between parent-child attachment and depression among migrant children and left-behind children in China. Public Health204, 1–8 (2022). [DOI] [PubMed] [Google Scholar]
- 102.Iyanda, A. E. Bullying victimization of children with mental, emotional, and developmental or behavioral (Medb) disorders in the United States. J. Child Adolesc. Trauma15, 221–233 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Zhang, X., Ra, C. K., Zhang, D., Zhang, Y. & MacLeod, K. E. The impact of school social support and bullying victimization on psychological distress among California adolescents. Calif. J. Health Promot14, 56–67 (2016). [PMC free article] [PubMed] [Google Scholar]
- 104.Liang, L., Xiao, Q. & Yang, Y. The psychological capital of left-behind university students: a description and intervention study from China. Front Psychol.9, 2438 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Fan, X. & Lu, M. Testing the effect of perceived social support on left-behind children’s mental well-being in mainland China: the mediation role of resilience. Child. Youth Serv. Rev.109, 104695 (2020). [Google Scholar]
- 106.Zhao, K., Chen, N., Liu, G., Lun, Z. & Wang, X. School climate and left-behind children’s achievement motivation: the mediating role of learning adaptability and the moderating role of teacher support. Front. Psychol.14, 1040214 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Chen, X. J. Parental migration, caretaking arrangement, and children’s delinquent behavior in rural China. Asian J. Criminol.12, 281–302 (2017). [Google Scholar]
- 108.Chen, X. & Hesketh, T. Educational aspirations and expectations of adolescents in rural China: determinants, mental health and academic outcomes. Int. J. Environ. Res. Public Health18, 11524 (2021). [DOI] [PMC free article] [PubMed]
- 109.Gao, Y., Li, L. P., Chan, E. Y. Y., Lau, J. & Griffiths, S. M. Parental migration, self-efficacy and cigarette smoking among rural adolescents in South China. Plos One8, e57569 (2013). [DOI] [PMC free article] [PubMed]
- 110.Huang, Y. et al. Health-related quality of life of the rural-China left-behind children or adolescents and influential factors: a cross-sectional study. Health Qual. Life Outcomes13, 29 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Li, B., Hu, T. & Tang, W. J. The effects of peer bullying and poverty on suicidality in Chinese left behind adolescents: the mediating role of psychotic-like experiences. Early Intervention Psychiatry16, 1217–1229 (2022). [DOI] [PubMed] [Google Scholar]
- 112.Lu, Y., Yeung, W. J. J. & Treiman, D. J. Parental migration and children’s psychological and cognitive development in China: differences and mediating mechanisms. Chin. Sociol. Rev.52, 337–363 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Wang, Y., Zhang, M. & Chen, H. Self-injury among left-behind adolescents in rural China: the role of parental migration and parent-child attachment. Front. Psychol.9, 2672 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Xu, J. Y. et al. Characteristics of parent-child separation related to bullying involvement among left-behind children in China. J. Soc. Person. Relation.41 (2024).
- 115.Zhang, N., Bécares, L. & Chandola, T. Does the timing of parental migration matter for child growth? A life course study on left-behind children in rural China. BMC Public Health15, 966 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Zhao, J., Liu, X. & Zhang, W. Peer rejection, peer acceptance and psychological adjustment of left-behind children: the roles of parental cohesion and children’s cultural beliefs about adversity. Acta Psychol. Sinica45, 797–810 (2013).
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Data Availability Statement
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