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. 2024 Mar 14;19(3):e0281226. doi: 10.1371/journal.pone.0281226

ADHD and family life: A cross-sectional study of ADHD prevalence among pupils in China and factors associated with parental depression

Tao Lu 1, Longlong Li 1, Ying Tang 2, Gerard Leavey 3,*
Editor: Lakshit Jain4
PMCID: PMC10939198  PMID: 38483917

Abstract

Background

Attention Deficit Hyperactivity Disorder (ADHD) is increasingly recognized as a major problem for children and their families in China. However, its influence on parental mental health has been seldom explored.

Objective

To examine the prevalence of attention deficit hyperactivity disorder in a community sample of children aged 6–13 years, and the extent to which it impacts parental mental health.

Method

Cross-sectional study of primary school pupils (number = 2497) in Deyang, Sichuan Province, South-West China. We used standardized instruments to identify children with ADHD symptoms and parent depression.

Results

The prevalence of ADHD was 9.8%. Factors associated with the likelihood of ADHD, included family environment(P = 0.003), time spent with children(P = 0.01), parenting style(P = 0.01), and parental relationship, pupils self-harm and lower academic ability (P = 0.001). After controlling for other factors, having a child with ADHD increased the likelihood of parents’ depression (OR = 4.35, CI = 2.68~7.07), additional factors included parent relationship.

Conclusions

ADHD may be a common disorder among Chinese children, the symptoms of which may increase the likelihood of parent depression. There is a need for greater detection of ADHD in schools, acknowledgement of the challenges the disorder creates for academic success and family wellbeing, and psychoeducational tools for supporting parents of children with ADHD.

1. Introduction

Attention deficit hyperactivity disorder (ADHD) is a common developmental and behavioral disorder with the following core symptoms: inattention, hyperactivity, and impulsivity [1]. Learning difficulties, oppositional defiant disorder, anxiety, depression, and other disorders are frequently associated with these symptoms [2]. According to a recent study, the prevalence of ADHD among children aged 6 to 17 years was 9.5% in the United States [3], higher than the global prevalence rate of around 5% [4]. There have been no national epidemiological surveys of ADHD in China, and prevalence statistics are not reported uniformly across China’s regions [5]. Recent evidence suggests that 6%, approximately, of Chinese children are living with ADHD [6,7]. Identifying and treating ADHD as early as possible as the economic costs of ADHD are considerable [8] because ADHD symptoms have a significantly negative impact on academic performance and other life prospects [9]. For example, ADHD patients have high rates of contact with the criminal justice system than the general population [10], causing significant problems for patients, families, and society [11]. Indeed, parents of children with ADHD have a higher prevalence of depression, anxiety disorder, and addictive disorder [12].

However, despite the long-term consequences of this condition, less than 2% of children in China with ADHD seek medical services [13] with serious long-term consequences [14,15]. Compared to parents of non-ADHD children, mothers of ADHD children experience considerable emotional and mental health problems [1620]. It has been suggested that when parental stress is intensified, such parents may adopt a strict parenting style, which in turn, exacerbates the children’s behavioral issues [20]. Commonly, parents believe that ADHD-related behavior may be intentional, resulting in poor parent-child interactions and potential exacerbation of ADHD symptoms [21]. However, little is known about the influence of other family factors and their relationship with children who exhibit ADHD behaviors. Evidence suggests that compared to their Western counterparts, Chinese parenting may be more authoritarian [22]. In the West, authoritarian parenting is commonly regarded negatively as it is associated with challenging behaviors and adjustment problems. However, cultural factors may produce quite different expectations and outcomes in Western and Chinese contexts [23,24]. Thus, an authoritarian parenting style in China appears to produce academic success for children who are expected to be obedient, listen to adults and conform to group expectations, intended to promote respect for others and nurture useful social skills [25]. While evidence suggests that parenting styles may influence behavioral outcomes for children with ADHD, there have been no large, community-based studies in mainland China to consider the relationship between ADHD symptoms, family factors, parenting styles and psychological stress.

2. Materials and methods

Ethics

The people’ Hospital of Deyang Ethics Review Committee provided a favorable review (Ethical review number:2021-04-041-K01) on the 7th of June 2021. Data collection began in July 2021.

Aims

To assess the likely prevalence of ADHD among schoolchildren in an urban setting in China. To examine the independent impact of children with ADHD symptoms on parental depression adjusting for other relevant factors.

Participants

We used cluster randomization, to select two primary schools from each urban district in Deyang, Sichuan Province, in China, a city with more than three million inhabitants, predominantly Han Chinese. The sampling frame was obtained from government lists of schools. Students in grades 1–6 were randomly selected at each school. Assisted by the school leadership and staff, parents were provided with written information about the study and assured that participation was entirely voluntary. Only one parent (or guardian) completed the survey. A power calculation using an estimated prevalence of 6% and a desired precision of +/- 1, and allowing for a non-response of 10%, we required a sample of 2408. The sample was estimated to be sufficiently powered to examine ADHD prevalence in children but also permitted subgroup analyses for parental mental health problems (15% based on the PHQ). As an incentive to participate, teachers received standardized training to understand the symptoms of ADHD. All participants received assistance in completing the survey which ran from April 2021 to December 2021.

Demographic questionnaire

Sociodemographic questions included children’s sex, parents’ age, education level, household family income, marital status, household composition, and parental relationships. Parents also reported their children’s academic ability (per school statement). We also collected parents’ time spent with children (hours).

SNAP-IV 26-Item Teacher and Parent Rating Scale [26]

The SNAP scale was developed in accordance with the diagnostic criteria for attention deficit hyperactivity disorder (ADHD) in the DSM-IV (Diagnostic and Statistical Manual of Mental Disorders) and has been widely used for ADHD screening, auxiliary diagnosis, and treatment efficacy evaluation in children and adolescents aged 6 to 18 years old. It has three subscales: attention deficit, hyperactivity-impulsion, and oppositional disobedience, with a 0–3-point scale and four grades. The Chinese SNAP-IV has satisfactory test-retest reliability, internal consistency (alpha = 0.88) and concurrent validity. A score between 0 and 1 is considered normal, a score between 1.1 and 1.5 is marginal, a score between 1.6 and 2 is moderate, and a score above 2 is severe. we used a score of 1.6 and above as a cut-off for case-ness [27].

The Patient Health Questionnaire- 9, PHQ-9

PHQ-9 is used for rapid screening and symptom assessment of depressive symptoms and consists of nine questions with a total score of 0–4 points for no depression, 5–9 points for mild depression, 10–14 points for moderate depression, 15–19 points for moderate to severe depression, and 20–27 points for severe depression. It has high reliability and validity in detecting major depressive episodes and assessing the severity of depressive symptoms [28]. The Chinese version of the PHQ-9 has good reliability (Cronbach’s alpha  =  0.83) [29].

Parenting style

Parents were asked to self-identify as having one of three particular parenting styles: (a) a liberal parenting style was characterized as permissive, with high levels of child autonomy for decision-making and preferences; (b) a democratic style was characterized by mutuality in decision-making through parent-child discussions and consensus; (c) a strict parenting style indicated that parents made all the family decisions, with high regard for discipline and child obedience. These styles were explained in a neutral and non-judgmental way to parents prior to completion.

Parent relationship

1 = (harmonious with mutual respect); 2 = (occasional quarrels, but with little impact; 3 = (Frequent quarrels, sometimes physical conflicts); 4 = (very poor relationship, parents remain together for children’s sake).

Child self-harm (parent reported)

Parents were asked if they had noticed any signs of self-harm; for example, cuts or wounds on arms that were unusual, appeared non-accidental and could not be accounted for by the child.

Data analysis

Data were analyzed using SPSS 28.0 (IBM Corp., Armonk, NY, USA). We used simple descriptive statistics to examine the sociodemographic characteristics of the pupil population, including the proportion with ADHD symptoms and likelihood of ADHD. The chi-square test was performed to compare differences between categorical variables and outcomes of interest. We examined parent’s depression at different levels of severity. Initially, we identified all participants scoring >4 on the PHQ-9 to provide an estimate of anyone with depression (mild to severe). To mitigate the likelihood of false positives, we examined scores by using a cut-off >6 (mild to severe). We then examined participant scores >10 (moderate to severe) as a more conservative estimate of depression. We used logistics regression to determine the relationship between ADHD symptoms and specific explanatory variables. We also used logistic regression to examine factors independently associated with first the wider and the second, more restricted parameters of parental depression. The LR results are reported using Odds Ratios and 95% Confidence Intervals.

3. Results

General demographics

Fourteen schools participated in the survey. A total of 2513 questionnaires were distributed, of which 46 parents declined to complete, giving a response rate of 98%. This questionnaire was completed by parents or grandparents, (Mothers = 77.6%). Pupils were aged 6–13 years (M = 8.51, SD = 1.83). Males (n = 1060) comprised 42.5% of the sample.

Prevalence of ADHD

Almost a tenth (9.8%) had ADHD symptoms. Boys were more likely than girls to have ADHD symptoms (11.3% v 8.7%; P = 0.05). Child self-harm was also associated with ADHD. ADHD was more common among children with lower academic performance with a noticeable gradient effect (p = 0.001). Parent education was associated with symptoms with more fathers in the highest and lowest educated categories (9.4% and12.4%, respectively). A higher proportion of remarried families (23%) had a child with ADHD symptoms than other categories (P = 0.003) and poor parental relationships were also significantly associated with child ADHD (24% compared to 7% of those with a good relationship, p = 0.001). Those parents with a strict parenting style had a higher proportion of children with ADHD compared to liberal or democratic styles (P = 0.01). More hours spent by parents with their children had a modest association with ADHD (Table 1).

Table 1. Pupil ADHD and family context factors (X2).

Total
N
With ADHD symptoms (n/%) P
Sex of pupils Male 1060 120/11.3 0.05
Female 1437 125/8.7
Single child Yes 1394 124/8.9
No 1103 121/11.0
Pupil self-harm Yes 64 19/29.7 0.001
No 2433 226/9.3
Academically Interested Yes 1997 176/8.8 0.001
No 500 69/13.8

Parent’s report of child academic ability
Good 354 3/0.8
0.001
Above average 1024 41/4.0
Average 861 83/9.6
bad 258 118/45.7
Mother’s education Elementary 617 77/12.5
0.01
Intermediate 956 94/9.8
Higher education 924 74/8.0
Father’s education Junior high school 564 70/12.4
0.05
Intermediate 930 81/8.7
Higher education 1003 94/9.4
Family composition Nuclear family 1065 96/9.0
0.003
three generations 1217 127/10.4
Four generations 163 10/6.1
Remarried families 52 12/23.1
Parental relationship Very good (Score 1&2) 1724 119/6.9
0.001
Average 690 106/15.4
Poor relationship 83 20/24.1
Parents marital status Married 2268 216/9.5
Single parent family 229 29/12.7
Daily hours spent with children.
<1h 201 30/14.9
0.01
1-3h 803 99/12.3
3-5h 634 60/9.5
>5h 859 56/6.5
Parenting style Liberal 780 98/12.6
0.01
Democratic 1268 76/6.0
Strict 449 71/15.8

Logistic regression analysis, controlling for annual household income, parents’ education, single parent status, and sex of child indicated that risk of ADHD symptoms were independently associated with child self-harm (OR = 3.02, CI = 1.66–5.48); remarried families (OR = 2.30, CI = 1.10–4.84); less hours spent with children. ADHD was associated with a threefold risk among those who reported a “poor marital relationship”, compared to those whose relationship was stated as “good”. Lastly, there was a consistent relationship between parent reported pupil academic performance, with higher academic performance associated with decreased risk of ADHD (Table 2).

Table 2. Multivariate analysis of factors associated with ADHD symptoms.

Multivariate Analysis of factors associated with ADHD Symptoms OR 95%CI
Sex (female) 0.75 0.57–0.99

Family composition
Nuclear family 1.00
1.17
0.70
2.30

0.87~1.56
0.35~1.40
1.10–4.84 *
three generations
Four generations
Remarried families

Parental relationship
1 Good
2
3
4 poor
1.00
2.16
1.55
2.95

1.61–2.88 **
0.38–6.22
1.54–5.64 **

Parenting style
Liberal
Democratic
Strict
1.00
0.52
1.24

0.37–0.72**
0.82–1.75

Academic assessment
Bad
Average
Average above
Excellent
1.00
0.14
0.06
0.01

0.10~0.20**
0.04~0.09**
0.00~0.05**

daily hours spent with children.
<1 hour
2–3
4–5
6+ hours
1.00
0.94
0.78
0.55

0.56–1.6
0.45–1.36
0.31–0.97*
Child self-injury behavior No
yes
1.00
3.02

1.66~5.48 **

Fully adjusted for household income, pupil’s age, mother’s and father’s level of education, number of siblings and household composition

*<0.05

**<0.01.

Parent depression

Using a cut-off of 5 or more on the PHQ, approximately 28% of the parents had some form of depression (mild-severe). More restricted classifications of (>6) indicated that 22% (n = 546) had mild to severe depression, while scores >10 indicated 4.8% of people (n = 120) had moderate to severe depression. In bivariate analysis, 55% of people who reported a “poor marital relationship” had some level of depression which was less common among those who reported joint caregiving (among mothers and fathers). Depression was more common among those who reported that their children had self-harmed (58% v 27%, P = 0.001) poor academic achievements for their child (P = 0.001); strict or liberal parenting styles (P = 0.001). Annual household income (Yuan) had a modest and unclear relationship with depression (Table 3).

Table 3. Family life factors associated with parental depression.

Total
N
Parents with depression
N/%
p

Parents marital status
Married 2268 624/27.5
0.05
Single parent family 229 79/34.5

Parental relationship
Very good 1724 383/22.2
0.001
Average 690 274/39.7
Poor 83 46/55.4

Family composition
Nuclear family 1065 305/28.6
Three generations 1217 332/27.3
Four generations 163 44/27.0
Remarried families 52 22/42.3

Primary caregiver
Both parents 1889 487/25.8
0.001
mother 382 144/37.7
father 57 20/35.1
grandparent 169 52/30.8

daily hours spent with children
<1h 201 72/35.8
0.001
1-3hours 803 274/34.1
3-5h 634 173/27.3
>5h 859 184/21.4

Parenting styles
Liberal 780 257/32.9
0.001
democratic 1268 298/23.5
Strict 449 148/33.0

Annual household income
In 1000 Yuan
≤5 486 142/29.2
0.05
5~10 1052 317/30.1
11~15 488 138/28.3
16~20 274 59/21.5
≥21 197 47/23.9
Academic assessment Good 354 68/19.2
0.001
Above average 1024 260/25.4
Average 861 257/29.8
Bad 258 118/45.7
Pupils self-harm No 2433 666/27.4 0.001
Yes 64 37/57.8

Factors associated with parental depression

Using a binary logistic regression, we examined factors related to parental depression. First, we examined all cases (anyone scoring >6) on the PHQ. Families with one child had an increased risk of depression but of borderline significance. Compared to families where child caregiving is evenly shared, mothers (not fathers) who had the primary caregiving duties were at increased risk of depression (OR = 1.62, CI = 1.22–2.15). The amount of time spent with children is somewhat protective; significantly so for parents who spent more than 5 hours per day (OR = 0.64, CI = 0.41–0.98). Parents with a ‘democratic” parenting style, had a reduced likelihood of pression, compared to parents who reported a strict parenting style (OR = 0.70, CI = 0.56–0.89). A liberal parenting style also had a reduced but non-significant risk. Participants who reported relationship difficulties were significantly more at risk of depression, compared to those who reported harmonious relationships (OR = 3.46, CI = 2.00–6.00). Those with children who self-harmed had a greater likelihood of depression but fell short of significance. Lastly, parents whose child scored positive for ADHD were more at risk of depression (OR = 2.73, CI = 2.00–3.72). Our multivariate analysis of parent depression using a higher threshold of >10 on the PHQ, indicated that mothers recorded as having the main caregiving responsibilities had an increased likelihood of depression (OR = 2.40, CI = 1.48–3.90). Those who spent more than 5 hours per day with their children had a significantly reduced risk of depression. Reported child self-harm and ADHD symptoms both increased the likelihood of parental depression. Parenting styles, parents’ educational levels, and reported pupil’s academic ability lost statistical significance (Table 4).

Table 4. Multivariate analysis of factors associated with parental depression at higher and lower levels of severity (for PHQ scores >6; and scores >10).

Parents with depression scores
greater than 6 (n = 546, 22%)
Parental depression Scores
greater than 10 (n = 120, 4.8%)
OR 95%CI OR 95%CI
Lower Upper lower Upper
Single child 1.03 0.83 1.27 0.94 0.63 1.42
Primary Care
Both parents

1.00
Only mother 1.62 1.22 2.15 ** 2.40 1.48 3.90 **
Only father 1.25 0.61 2.54 0.86 0.21 3.48
Grandparent 1.27 0.82 1.20 0.83 0.35 2.01
time with children (hours)
<1

1.00
2–3 0.91 0.60 1.37 0.90 0.44 1.81
4–5 0.77 0.50 1.19 0.62 0.30 1.32
>5 0.64 0.41 0.98 * 0.27 0.11 0.62 **
Parenting styles
Strict
Democratic
Liberal

1.00
0.70
0.90

0. 56
0.68

0.89 **
1.20

1.00
0.88
1.35

0.55
0.81

1.41
2.24
Family composition
Nuclear

1.00
3 generations 0.89 0.72 1.10
4 Generations 1.03 0.67 1.58
Remarried 1.28 0.67 2.44
Pupil self-Harm (yes) 1.73 0.99 2.10 2.27 1.08 4.77 *
ADHD symptoms (yes) 2.73 2.00 3.72 ** 4.35 2.68 7.07 **
parent relationship
1 Good
2
3
4 Poor

1.00
1.88
4.00
3.46

1.51
1.41
2.00

2.23 **
11.36 **
6.00 **

1.50
2.90
3.74

0.99
0.69
1.72

2.30
12.71
8.10 **
marital status 0.84 0.56 1.27
father education 1.21 1.03 1.43 *
mother education 1.12 0.95 1.33
Academic assessment 0.85 0.74 0.96 * 0.95 0.74 1.22

Controlling for age and sex of children, annual household income

P = > 0.05*

p = >0.001 **.

4. Discussion

The global prevalence of ADHD is around 5% [4], and according to the most recent research, the prevalence of ADHD among children aged 6–17 in the United States has reached 9.5% [3]. The prevalence surveys are inconsistent across regions of China. We found a prevalence of ADHD of almost 10% among these pupils living in seven urban area of Deyang district of China, higher than those recorded in other Chinese studies [30]. Boys had a higher prevalence than girls, consistent with other findings [6]. Unlike Huang et al [31], we noted that families with more than one child had a higher incidence rate than those with single children.

We also observed that reported child self-harm was more common among children with ADHD. Importantly, our findings highlight the severe impact of ADHD and academic performance as reported by the parents. This is consistent with previous evidence about the social and educational challenges related to behavioral symptoms of this population (e.g., poor concentration, fidgeting,). It may also be the case that parents who find their children’s’ behaviors as problematic, may also negatively rate their child’s academic abilities. That is, the child’s behavior may negatively influence parental assessment in other domains. However, given that parental assessment was based on that provided by their school report, this may be a more reliable and objective statement. Children and young people with ADHD have a higher risk of academic and social problems, and conflicts with pupils and teachers [32].

We also found that ADHD was associated with remarried families, again suggesting that the challenges of parenting children with ADHD may present a higher risk of marital breakdown, noted in previous studies [33]. Perhaps related, ADHD was associated with a three-fold risk in those who reported a poor parental relationship. It is possible that parents whose relationships are problematic reproduce behavioral and psychological problems in their children, and this may explain the higher levels of recorded ADHD symptoms in such children. However, we suggest that family breakdown is more likely to result in depression and anxiety, rather than the ADHD symptoms recorded in this study. Moreover, we found that parental relationships posed an independent risk for parental depression, after controlling for the independent effects of child self-harm. ADHD was also associated with an authoritarian parenting styles, and fewer hours spent with their children. Previous evidence suggests that maternal psychopathology (particularly depression) can predict poor treatment outcomes in ADHD patients [34].

Parental depression

In our regression analysis of factors related to parental depression, we examined the likelihood of ADHD symptoms exerting an independent effect on parent psychological distress. We did this in a robust examination of restricted thresholds for depression and found that ADHD had an increased and independent effect on parental depression. Thus, parents with children who scored positive for ADHD had more than a four-fold risk of depression at the lower and higher scores on the PHQ (OR = 4.35, CI = 2.68–7.07). Unsurprisingly, child self-harm was also independently associated with a higher risk of parental depression. Importantly, we noted a protective effect where both parents are noted as being joint caregivers; mothers with sole caregiving responsibilities were more likely to be depressed (OR = 1.62, CI = 1.22–1.67). It is important to note that in China, (as in this sample), many households had three or four generations living together but this does not appear to reduce maternal depression and may contribute to it through additional responsibilities, and household income appears to have little influence on wellbeing. Increasingly in China, there is some evidence that many families are now dual-career families, unable to balance work and life, with less time to accompany children [35].

Parental depression appears strongly related to ADHD symptoms in their children, consistent with previous research [36]. Lastly, compared to parents who endorsed a more authoritarian (strict) parenting style, those who endorsed “liberal” or “democratic” styles were less likely to be depressed but this was significant only for “democratic” and scoring greater than six on the PHQ (OR = 0.70, CI = 0.56–0.89). It may be that while parenting style has an independent effect on parental depression, many parents adopt this style as an approach to coping with ADHD symptoms in their children but that this may personally uncharacteristic, and consequently heightens depression. China has undergone major social and economic changes in the previous two decades and this is also likely to affect cultural attitudes and behaviors associated with parenting styles and children’s responses. Such changes are likely to provoke stressors within family relationships suggestive of the findings in this study.

Active screening of parents’ emotions and children’s ADHD symptoms can serve as the foundation for future family guidance. Improving children’s ADHD symptoms can reduce the likelihood of parental depression and improving parents’ depression can also promote the alleviation of ADHD symptoms. Family support should be strengthened in clinical practice to promote the improvement of parent-child relationships and the quality of family life.

Limitations

We found a higher prevalence of ADHD symptoms than in other studies using clinical interviews [31,32], but similar results to other international surveys [37]. However, it should also be acknowledged that cultural differences may play a part in the assessment of ADHD symptoms and behaviors. Secondly, our study would have benefited from corroborative data in addition to that provided by parents. However, it is more likely that parents would under-report challenging behaviors due to stigma [38]. Third, while most of our instruments were well-validated for a Chinese context, we were obliged to use some self-designed or adapted questions such as those relating to parenting styles.

Conclusions

ADHD is a common disorder among Chinese children often associated with family factors such as parenting styles and family discord and is also associated with increased likelihood of parental depression.

There is a need for greater detection of ADHD in schools and an acknowledgement of the challenges the disorder creates for academic success and family wellbeing.

Supporting information

S1 File

(DOCX)

pone.0281226.s001.docx (65.7KB, docx)

Acknowledgments

We want to thank all the participating schools and teachers who helped makes this study possible. Additional thanks to all the parents and grandparents who gave their time.

Data Availability

We confirm that the database for the above study has been de-identified and can be accessed through Open Science Framework, a publicly available repository. DOI: 10.17605/OSF.IO/35N7D.

Funding Statement

the authors received no specific funding for this study.

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Supplementary Materials

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pone.0281226.s001.docx (65.7KB, docx)

Data Availability Statement

We confirm that the database for the above study has been de-identified and can be accessed through Open Science Framework, a publicly available repository. DOI: 10.17605/OSF.IO/35N7D.


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