Skip to main content
BMC Pediatrics logoLink to BMC Pediatrics
. 2020 Jun 12;20:293. doi: 10.1186/s12887-020-02184-9

Timing of rapid weight gain and its effect on subsequent overweight or obesity in childhood: findings from a longitudinal birth cohort study

Yi-Fan Li 1, Shio-Jean Lin 2, Tung-liang Chiang 3,
PMCID: PMC7291582  PMID: 32532342

Abstract

Background

Rapid weight gain (RWG) has been recognized as an important determinant of childhood obesity. This study aims to explore the RWG distribution among children at six-month intervals from birth to two years old and to examine the association of RWG in each interval with overweight or obesity development in preschool- and school-aged children.

Methods

Data were obtained from the Taiwan Birth Cohort Study, which is a nationally representative sample of 24,200 children who participated in a face-to-face survey. A total of 17,002 children had complete data both for weight and height at each of the five measurement time periods. Multivariable logistic regression models quantified the relationship between RWG and childhood overweight or obesity.

Results

A total of 17.5% of children experienced rapid weight gain in the first six months of age, compared to only 1.8% of children from 18-24 months. RWG was significantly associated with an increased risk of developing overweight or obesity at 36 months (RWG birth-6 months: OR = 2.6, 95% CI: 2.3–2.8; RWG 18–24 months: OR = 3.7, 95% CI: 2.9–4.6), 66 months (RWG birth-6 months: OR = 2.2, 95% CI: 2.0–2.4; RWG 18–24 months: OR = 2.3, 95% CI: 1.8–2.8), and 8 years of age (RWG birth-6 months: OR = 1.7, 95% CI: 1.6–1.9; RWG 18–24 months: OR = 2.4, 95% CI: 2.0–3.0).

Conclusions

Childhood RWG increased the risk of subsequent overweight or obesity, regardless of the specific time interval at which RWG occurred before the age of two years. The results reinforce the importance of monitoring childhood RWG continuously and show the risks of childhood RWG with respect to the development of overweight or obesity at preschool and school ages.

Keywords: Children, Rapid weight gain, Overweight, Obesity

Background

Childhood obesity continues to be a critical public health problem worldwide. The global prevalence of childhood obesity increased dramatically from 1.0% in 1975 to 9.0% in 2016 [1]. A growing body of evidence indicates that childhood obesity increases the risk of obesity in adolescence and adulthood and the incidence of noncommunicable diseases (NCDs), such as cardiovascular diseases, cancers, and diabetes, later in life [2, 3]. From the life-course perspective, addressing childhood obesity is critical for the prevention and control of NCDs [4].

Fast postnatal weight accumulation, or rapid weight gain (RWG), has been recognized as an important determinant of childhood obesity [58]. Two systematic reviews by Ong and Loos [7] and Zheng et al. [8] reported that children with RWG before the age of two were more likely to become overweight/obese than children without RWG, with adjusted odds ratios from 1.4 to 6.8. Accordingly, professional organizations such as the American Academy of Pediatrics (AAP) [9] and the Institute of Health Visiting in the UK [10] have recognized that early RWG in children should be targeted to prevent childhood overweight and obesity and have therefore recommended that parents and health care providers observe children’s growth patterns starting at birth.

However, evidence regarding the timing of RWG for intervention to promote health is inconsistent. A body of research has explored the association of various timings of RWG with health outcomes such as obesity and cardiovascular diseases. These studies reported that the critical timing of RWG occurred during early childhood in the first six months [11, 12], first 12 months [13, 14], or first 24 months of life [1517]. Other studies reported that the important RWG occurred during early infancy, including the first week [18] or the first four months of life [19]. The diverse results of RWG timing in children might be due to various limitations of the study designs. For example, there was a lack of evidence from a large sample size and a longitudinal cohort study to collect anthropometric data at regular intervals after birth [20]. In addition, little is known about the pattern of RWG according to time in early life. It is unclear which specific period of childhood is critical for RWG and whether the occurrence of RWG follows a specific pattern.

Therefore, the current study, which uses data from the Taiwan Birth Cohort Study (TBCS), aims first to describe the distribution of childhood RWG from birth to 24 months of age and second to examine the various effects of RWG occurring during different periods before the age of two on the development of childhood overweight or obesity in preschool (age 36 months and 66 months) and school age (age eight) children.

Methods

This study has been approved by the Research Ethics Committee of National Taiwan University (NTU-REC) on March 25, 2019 (NTU-REC No: 201902HM003).

Study design and setting

This study was based on data from the TBCS, which is the first large-scale, longitudinal design and was supported financially and administratively by the Health Promotion Administration (HPA), Ministry of Health and Welfare in Taiwan. By following nationally representative children from birth through young adulthood, the TBCS aims to record and evaluate child health, explore social determinants of child health, and investigate the early origins of adult health based on the child’s life course. Therefore, TBCS collected a wide range of information at various stage in life pertaining to each child’s health and development, lifestyle, parenting, childcare, and social environment. The current study used panel data to describe the distribution of RWG during the growth period and to further explore the association of RWG before 24 months of age with overweight and obesity at preschool and school age.

Participants

The TBCS enrolled 24,200 infants born throughout the year in 2005 who were initially selected from 206,741 live births based on the National Birth Report Database by using two-stage stratified random sampling. Initially, primary sampling units (PSUs) were townships identified geographically in Taiwan. A total of 85 PSUs were sampled randomly according to 12 levels stratified based on urbanization and the total fertility rate of townships in sequence. Second, a total of 24,200 individuals were selected from the PSUs by simple random sampling determined by probability proportionate to size (PPS) and the order of each birth month. Overall, the average sampling rate was approximately 11.7%. A total of 21,248 (87.8%) children completed the baseline survey at the age of six months and were recruited as cohort members from the 24,200 eligible children. Follow-up interview surveys were subsequently conducted at 18 months, 3 years, 5 years, and 8 years of age, with response rates of 94.9, 93.7, 92.8, and 91.9%, respectively. The present study sample included 17,002 (80.2%) children after excluding those who experienced RWG after the age of two (n = 1464) from among the children who completed all four waves of the follow-up surveys (n = 18,466).

All participants received a letter before each survey wave from the HPA, with information about TBCS, including its purposes, research methods, confidential process, and contact information of the administrator. The interviews were initiated after the children’s parents or guardians understood their rights and completed the informed consent form.

Measures

Each wave of TBCS survey was conducted via face-to-face interviews using structural questionnaires answered by either the mother or a primary caregiver. Four steps were followed to develop a TBCS questionnaire. First, the conceptual framework and study plans according to the objectives of TBCS were developed by the principal investigator, co-principal investigators and staff from the HPA. Second, the questionnaire was constructed with reference to previous research and social contexts before each wave of survey. Third, participants’ comments and feedback were collected to revise the questionnaires after the implementation of the pretest and pilot study. Finally, the protocol and questionnaires of the TBCS were approved by the Directorate-General of Budget, Accounting and Statistics in the Executive Yuan, according to the Statistics Act of Taiwan.

Anthropometric data

Children’s physical growth data in TBCS were primarily obtained from parents based on the structural questionnaires, included questions regarding anthropometric data, date of measurement, and data sources. Before each wave of the TBCS survey, an official letter was sent to each cohort member’s parents, reminding them to prepare the children’s anthropometric data. The data provided by the parents came from two sources. The first source is the Children’s Health Booklet, which parents or primary caregivers prepared for interviews with the TBCS. The Children’s Health Booklet records children’s health status and primary health care information, including anthropometric data and compulsory vaccination records, based on seven free well-childcare visits under the National Health Insurance guidelines in Taiwan. Health care providers measure and record children’s length/height, weight, and head circumference during each well-child care visit. The second source is parental reports including measurements performed by the parents or obtained from kindergarten. Based on our previous study, we found that 80% of the anthropometric data in TBCS before age three were from well-child visits, and 60% of data after age three were from parents’ measurements [21].

Dependent variable: childhood overweight or obesity

We used two steps to process the variable. Initially, childhood overweight and obesity at age 36 months, 66 months, and 8 years were defined as a body mass index (BMI) from the 85th to the 94.9th percentile and greater than the 95th percentile for age and sex, respectively, based on the definition from the Department of HPA, Ministry of Health Welfare in Taiwan [22]. Subsequently, the dependent variable was categorized as a dichotomous variable for the advanced analysis in this study: childhood overweight or obesity (coded as 1) and non-overweight or obesity (coded as 0).

Independent variable: childhood RWG

Childhood RWG was defined as an increase of more than 0.67 in weight-for-age z-score, a measurement widely used and accepted in the literature [6], and the z-score was calculated using TBCS data. Subsequently, we calculated the time intervals of childhood RWG every six months from birth to 24 months of age in four periods: from birth to 6 months (birth-6 mo), from 6 months to 12 months (6 mo-12 mo), from 12 months to 18 months (12 mo-18 mo), and from 18 months to 24 months (18 mo-24 mo).

Potential covariates

Various factors were considered to be important for the occurrence of RWG and the development of overweight and obesity. We identified and classified potential covariates into three parts. The first part was related to prenatal influences, including gestational age, delivery method, and maternal smoking during pregnancy [23]. Gestational age was recorded from the National Birth Report Database, and the delivery method and maternal smoking during pregnancy were documented from the TBCS questionnaire completed at the age of 6 months.

The second part was breastfeeding duration [23, 24], which was documented from the survey questionnaire completed at the age of 18 months and was defined as partial breastfeeding until 12 months of age according to mothers’ responses. The third part was parental sociodemographic characteristics [24], including residential area, maternal nationality, and maternal educational achievement measured by the survey questionnaire completed at the age of 6 months and family income measured by the questionnaire completed during each wave of survey.

Statistical analyses

We analysed the data in three steps. First, descriptive analyses of the distribution of childhood RWG and overweight or obesity are presented as frequencies and percentages, respectively. Specifically, the distribution of childhood RWG recorded the occurrence of RWG at each time interval and was categorized into several groups. For instance, some children’s RWG might have occurred in the period of birth-6 mo only, which was categorized into one group. Others might have begun in the period of 6 mo-12 mo and continued in the period of 12 mo-18 mo, which was categorized into another group.

Next, Pearson’s chi-squared (χ2) tests were used to examine the associations of childhood RWG with the potential determinants. In this process, childhood RWG was classified as a binary variable: children who had ever experienced RWG at any time interval before age 24 months and children who had never experienced RWG before age 24 months. Finally, logistic regression models with multiple covariates were used to obtain the adjusted odds ratio while controlling for covariates. We interpreted the coefficients to quantify the relationship between childhood RWG and overweight or obesity at 36 months, 66 months, and 8 years of age.

Results

Table 1 presents the sociodemographic characteristics of the children. Of the 17,002 children, 52.6% were boys, and more than 90% of infants presented a normal birth weight, full-term birth, and singleton pregnancies. Moreover, 33.1% of the subjects were born via caesarean section (CS), and 5.7% were children of mothers who smoked during pregnancy. After birth, 12.9% of the children were partially breastfed until at least 12 months. Most mothers were native Taiwanese (88.2%), and 47.9% of the mothers had more than 15 years of education. Table 1 also demonstrated that children with low birthweight (47.9%), preterm birth (52.9%), and multiple parity birth (51.4%) were significantly associated with at least one occurrence of RWG.

Table 1.

The distribution of children’s and parents’ characteristics and the association with rapid weight gain

Variables Total Ever RWG No RWG χ2
n % n % n %
Total 17,002 100.0 7509 44.2 9493 55.8
Sex 0.03
 Boys 8948 52.6 3946 44.1 5002 55.9
 Girls 8054 47.4 3563 44.2 4491 55.8
Birth weight 6.99 **
  < 2500 g 1135 6.7 544 47.9 591 52.1
  > =2500 g 15,867 93.3 6965 43.9 8902 56.1
Gestational age 81.41 ***
 Preterm 1379 8.1 730 52.9 649 47.1
 37 weeks 2212 13.0 1083 49.0 1129 51.0
 38 weeks 4532 26.7 1965 43.4 2567 56.6
  > =39 weeks 8879 52.2 3731 42.0 5148 58.0
Singleton or multiple births 10.11 **
 Singleton 16,539 97.3 7271 44.0 9268 56.0
 Multiple 463 2.7 238 51.4 225 48.6
Delivery methods 3.85
 Caesarean section 5622 33.1 2542 45.2 3080 54.8
 Vaginal delivery 11,360 66.9 4956 43.6 6404 56.4
Maternal smoking during pregnancy 0.09
 Yes 961 5.7 429 44.6 532 55.4
 No 16,041 94.4 7080 44.1 8961 55.9
Breastfeeding until at least 12 months 19.81 ***
 Yes 2186 12.9 869 39.8 1317 60.3
 No 14,816 87.1 6640 44.8 8176 55.2
Maternal nationality 8.15 **
 Taiwanese 14,995 88.2 6683 44.6 8312 55.4
 Others 2005 11.8 826 41.2 1179 58.8
Residential area 1.54
 Rural township 4716 27.7 2107 44.7 2609 55.3
 Urban township 7575 44.6 3306 43.6 4269 56.4
 City 4711 27.7 2096 44.5 2615 55.5
Maternal education 8.82 *
  < 9 years 2189 12.9 917 41.9 1272 58.1
 9–14 years 6661 39.2 2910 43.7 3751 56.3
  > =15 years 8126 47.9 3674 45.2 4452 54.8
Family monthly income (NTD) 3.49
  < 30,000 1829 10.8 774 42.3 1055 57.7
 30,000-49,999 5019 29.6 2204 43.9 2815 56.1
 50,000-69,999 4481 26.4 2005 44.7 2476 55.3
  > =70,000 5632 33.2 2505 44.5 3127 55.5

* p < 0.05, ** p < 0.01, *** p < 0.001

†New Taiwan Dollars

Distributions of RWG in children during all observational periods

Table 2 shows the distribution of childhood RWG from birth to age 24 months. In general, before age 24 months, 55.8% of children never experienced RWG, while 44.2% had at least one occurrence of RWG. Moreover, among children with at least one experience of RWG, 82.7% of children experienced only one period of RWG at birth- 6 mo (39.6%), 6 mo-12 mo (25.4%), 12 mo-18 mo (13.6%), and 18 mo-24 mo (4.1%).

Table 2.

Distribution of rapid weight gain (RWG) before the age of two

Children’s experienced RWG Total Ever RWG
n % %
Total 17,002 100.0
 No-RWG 9493 55.8
 Ever RWG 7509 44.2 100.0
  At a single time interval
   Birth - 6 mo* 2975 17.5 39.6
   6 mo - 12 mo 1911 11.2 25.4
   12 mo - 18 mo 1024 6.0 13.6
   18 mo - 24 mo 310 1.8 4.1
  At other time intervals 1289 7.6 17.2

*Months of age

The prevalence of childhood overweight or obesity according to RWG

As Fig. 1 shows, the prevalence of childhood overweight or obesity among all children at 36 months, 66 months, and 8 years of age was 29.1, 27.3, and 22.6%, respectively. Moreover, the prevalence of children with at least one occurrence of RWG was approximately 30%, which was higher than that of children who did not experience RWG before the age of 24 months.

Fig. 1.

Fig. 1

Prevalence of childhood overweight or obesity and rapid weight gain (RWG)

Multivariable logistic regression of RWG and overweight or obesity

Figure 2 (or Appendix Table 1) illustrates the adjusted odds ratio (AOR) for the overweight or obesity predictions at 36 months, 66 months, and 8 years of age after controlling for potential covariates. In general, children who experienced RWG before age 24 months were more likely to be overweight or obese at age 36 months as well as at age 66 months and age 8 years. Furthermore, children with RWG at 18 mo-24 mo were more likely to become overweight or obese than other children without RWG with an AOR above 2 (age 36 months: AOR = 3.7, 95% CI = 2.9–4.6, 66 months: AOR = 2.3, 95% CI = 1.8–2.8, 8 years: AOR = 2.4, 95% CI = 2.0–3.0).

Fig. 2.

Fig. 2

Adjusted odds ratio (including 95% confidence intervals, CIs) from the multiple logistic regression of childhood overweight or obesity at 36 months, 66 months, and 8 years of age according to each period of rapid weight gain (RWG) before the age of two

In addition, we tried to employ ordinal logistic regression separating the overweight and obese categories, and found that the results were almost no difference in findings using the dichotomous variable (Appendix Table 2). Thus, we went with the most parsimonious model in the current study.

Discussion

This study, which analysed a representative longitudinal sample of children born in 2005, illustrates two findings. First, 17.5% of children experienced RWG in the first six months of life, compared to only 1.8% of children from 18-24 months of age. Second, children who experienced RWG had a significantly higher risk of overweight or obesity at preschool and school age, regardless of the occurrence of RWG at any time interval before the age of two.

Our results indicated that children’s growth before the age of two is important for physical health, as height and weight increase rapidly during this period [25]. Moreover, the results illustrated that the occurrences of RWG were widely distributed and decreased as children grew older. Identifying at a single and precise time interval of RWG for prevention of subsequent overweight or obesity may be difficult. Thus, it would be worthwhile to increase parental and health care provider awareness about preventing RWG during the first two years of a child’s life and not just focus on the specific timing of RWG. For instance, a set of well-child care visits was implemented as a strategy to screen and assess the growth and development of children after birth [26].

The positive association between RWG in children and childhood overweight or obesity

Our findings are in line with those of earlier studies showing a connection between RWG in early life and subsequent overweight and obesity [7, 8]. Notably, the time interval of RWG occurrences would have different sensitivities for predicting overweight or obesity later in life. Therefore, rather than focusing on a single interval or the specific timing of RWG, childhood overweight and obesity surveillance using RWG screening should be continuous after birth or sustained at least until age 12 months.

Furthermore, we also suggest that potential factors should be considered for the prevention childhood RWG. First, children with premature births, a low birth weight or a younger gestational age may exhibit ‘catch-up growth’, and care should be given to avoid overweight and obesity or other chronic diseases later in life [27, 28]. Second, compared with milk formula feeding, children who may consume less energy and protein through breastfeeding were consistently less likely to experience RWG [29, 30]. Therefore, policies should encourage mothers to breastfeed exclusively, specifically mothers with lower education levels [31].

Strengths and limitations

The collected data included indicators of birth outcomes, social environments, and lifestyles. Thus, the present study was able to clarify the association between RWG and overweight or obesity after controlling for other risk factors better than previous studies. The current study also has some limitations. First, the anthropometric data before the age of 8 years, which were documented from the Children’s Health Booklets, may have contained inaccuracies, and the primary caregiver reports after the age of 8 years were obtained from routine school health check-ups. However, earlier research has found that routine health checkup data relating to growth can be accurate [32]. Second, our findings should be generalized to the general population with caution, even though the TBCS was a large-scale study, employed random sampling, and recruited a homogeneous group of participants in terms of race/ethnicity.

Conclusions

The current study using the panel data from a single nationally representative cohort in Taiwan found that childhood RWG increased the risk of subsequent overweight or obesity, regardless of the specific time interval during which RWG occurred before the age of two. Therefore, our findings reinforce the importance of monitoring childhood RWG continuously and show the risks of childhood RWG with respect to the development of overweight or obesity at preschool and school ages.

Supplementary information

12887_2020_2184_MOESM1_ESM.docx (18.9KB, docx)

Additional file 1. Results of logistic regression model. Table 1. Multiple logistic regression of childhood overweight or obesity at 36 months, 66 months, and 8 years of age according to the period of rapid weight gain (RWG) before the age of two. Table 2. Ordinal logistic regression of childhood overweight or obesity at 36 months, 66 months, and 8 years of age according to the period of rapid weight gain (RWG) before the age of two.

Acknowledgements

We appreciate all the children and their parents who participated in the TBCS, and the interviewers who helped with data collection. We thank Professor Chuhsing Kate Hsiao for her advice regarding the statistical analyses and interpretation of data.

Abbreviations

NCDs

Non-Communicable Diseases

RWG

Rapid Weight Gain

AAP

The American Academy of Pediatrics

HPA

The Health Promotion Administration, Ministry of Health and Welfare

BMI

Body Mass Index

AOR

Adjusted Odds Ratio

Authors’ contributions

Y-FL designed the study, cleaned and analyzed the data, interpreted the data, and drafted and revised the manuscript; S-JL revised the manuscript; T-C made contributions to the conceptualization and design of the study, data acquisition, and revision of the manuscript; all authors conceived the analyses, and approved the final manuscript.

Funding

This study was supported financially and administratively in the data collection by the Health Promotion Administration, Ministry of Health and Welfare, Taiwan (R.O.C.) (BHPPHRC-92-4, DOH93-HP-1702, DOH94-HP-1802, DOH95-HP-1802, DOH96-HP-1702, DOH101-HP-1703, DOH102-HP-1701, MOHW103-HPA-H-114-123706, MOHW104-HPA-H-114-133701, MOHW105-HPA-H-114-000701, MOHW106-HPA-M-114-114701, and MOHW107-HPA-M-114-124701). The funding body was involved in data collection of the study.

Availability of data and materials

The datasets generated and analyzed during the current study are not publicly available due to the terms of consent to which the participants agreed, but data are however available upon reasonable request and with permission of the Health Promotion Administration at the Ministry of Health and Welfare in Taiwan.

Ethics approval and consent to participate

This study was a secondary data analysis, based on data from the TBCS, and has been approved by the Research Ethics Committee of National Taiwan University (NTU-REC) on March 25, 2019 (NTU-REC No: 201902HM003). The protocol and questionnaires of TBCS were approved by the Directorate-General of Budget, Accounting and Statistics in the Executive Yuan, according to the Statistics Act of Taiwan. Children’s parents or guardians have written the informed consent before each wave of survey.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12887-020-02184-9.

References

  • 1.World Health Organization. Prevalence of overweight among children and adolescents. http://apps.who.int/gho/data/view.main. BMIPLUS1CREGv?lang=en. Updated September 29, 2017. Accessed May 13, 2019.
  • 2.Amed S, Daneman D, Mahmud FH, et al. Type 2 diabetes in children and adolescents. Expert Rev Cardiovasc Ther. 2010;8:393–406. doi: 10.1586/erc.10.15. [DOI] [PubMed] [Google Scholar]
  • 3.Munthali RJ, Kagura J, Lombard Z, et al. Early life growth predictors of childhood adiposity trajectories and future risk for obesity: birth to twenty cohort. Child Obes. 2017;13:384–391. doi: 10.1089/chi.2016.0310. [DOI] [PubMed] [Google Scholar]
  • 4.World Health Organization. Population-based prevention strategies for childhood obesity: report of a WHO forum and technical meeting, 2010. Geneva : World Health Organization. http://www.who.int/iris/handle/10665/44312.
  • 5.Monasta L, Batty GD, Cattaneo A, et al. Early-life determinants of overweight and obesity: a review of systematic reviews. Obes Rev. 2010;11:695–708. doi: 10.1111/j.1467-789X.2010.00735.x. [DOI] [PubMed] [Google Scholar]
  • 6.Ong KK, Ahmed ML, Emmett PM, et al. Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ. 2000;320:967–971. doi: 10.1136/bmj.320.7240.967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ong KK, Loos RJ. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr. 2006;95:904–908. doi: 10.1080/08035250600719754. [DOI] [PubMed] [Google Scholar]
  • 8.Zheng M, Lamb KE, Grimes C, et al. Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of evidence. Obes Rev. 2018;19:321–332. doi: 10.1111/obr.12632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Daniels SR, Hassink SG, Committee on Nutrition. The role of the pediatrician in primary prevention of obesity. Pediatrics 2015;136:e275–92. 10.1542/peds.2015-1558. [DOI] [PubMed]
  • 10.Redsell SA, Atkinson P, Edmonds B, et al. Guideline for UK midwives/health visitors to use with parents of infants at risk of developing childhood overweight/obesity 2013. Nottingham, UK.
  • 11.Eid EE. Follow-up study of physical growth of children who had excessive weight gain in first six months of life. BMJ. 1970;2:74–76. doi: 10.1136/bmj.2.5701.74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Gonçalves FC, Amorim RJ, Eickmann SH, et al. The influence of low birth weight body proportionality and postnatal weight gain on anthropometric measures of 8-year-old children: a cohort study in Northeast Brazil. Eur J Clin Nutr. 2014;68:876–881. doi: 10.1038/ejcn.2014.68. [DOI] [PubMed] [Google Scholar]
  • 13.Emmett PM, Jones LR. Diet and growth in infancy: relationship to socioeconomic background and to health and development in the Avon longitudinal study of parents and children. Nutr Rev. 2014;72:483–506. doi: 10.1111/nure.12122. [DOI] [PubMed] [Google Scholar]
  • 14.Penny ME, Jimenez MM, Marin RM. Early rapid weight gain and subsequent overweight and obesity in middle childhood in Peru. BMC Obes. 2016;3:55. doi: 10.1186/s40608-016-0135-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Monteiro POA, Victora CG, Barros FC, et al. Birth size, early childhood growth, and adolescent obesity in a Brazilian birth cohort. Int J Obes Relat Metab Disord. 2003;27:1274–1282. doi: 10.1038/sj.ijo.0802409. [DOI] [PubMed] [Google Scholar]
  • 16.Sacco MR, de Castro NP, Euclydes VL, et al. Birth weight, rapid weight gain in infancy and markers of overweight and obesity in childhood. Eur J Clin Nutr. 2013;67:1147–1153. doi: 10.1038/ejcn.2013.183. [DOI] [PubMed] [Google Scholar]
  • 17.Toschke AM, Grote V, Koletzko B, et al. Identifying children at high risk for overweight at school entry by weight gain during the first 2 years. Arch Pediatr Adolesc Med. 2004;158:449–452. doi: 10.1001/archpedi.158.5.449. [DOI] [PubMed] [Google Scholar]
  • 18.Feldman-Winter L, Burnham L, Grossman X, et al. Weight gain in the first week of life predicts overweight at 2 years: a prospective cohort study. Matern Child Nutr. 2018;14. 10.1111/mcn.12472. [DOI] [PMC free article] [PubMed]
  • 19.Wang G, Johnson S, Gong Y, et al. Weight gain in infancy and overweight or obesity in childhood across the gestational spectrum: a prospective birth cohort study. Sci Rep. 2016;6:29867. 10.1038/srep29867. [DOI] [PMC free article] [PubMed]
  • 20.Hawkins SS, Oken E, Gillman MW. Early in the Life Course: Time for Obesity Prevention. In Halfon N, Forrest CB, Lerner RM, Faustman EM eds. Handbook of Life Course Health Development. Cham, Switzerland: Springer International Publishing 2018:169–96. [PubMed]
  • 21.Li YF, Lin SJ, Lin KC, et al. Growth references of Taiwanese preschool children based on a longitudinal cohort study and compared to World Health Organization growth standards. Pediatr Neonatol. 2016;57:53–59. doi: 10.1016/j.pedneo.2015.03.014. [DOI] [PubMed] [Google Scholar]
  • 22.Department of Health Promotion Administration. https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=542&pid=9547. Accessed January 4, 2019.
  • 23.Monteiro POA, Victora CG. Rapid growth in infancy and childhood and obesity in later life--a systematic review. Obes Rev. 2005;6:143–154. doi: 10.1111/j.1467-789X.2005.00183.x. [DOI] [PubMed] [Google Scholar]
  • 24.World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. Geneva, Switzerland: World Health Organization; 2000. [PubMed]
  • 25.Berk LE. Children Development. Pearson: India. 2017:175–8.
  • 26.American Academy of Pediatrics. AAP Schedule of Well-Child Care Visits. https://www.healthychildren.org/English/family-life/health-management/Pages/Well-Child-Care-A-Check-Up-for-Success.aspx. Updated October 26, 2018. Accessed January 7, 2019.
  • 27.Forsén T, Eriksson J, Tuomilehto J, et al. The fetal and childhood growth of persons who develop type 2 diabetes. Ann Intern Med. 2000;133:176–182. doi: 10.7326/0003-4819-133-3-200008010-00008. [DOI] [PubMed] [Google Scholar]
  • 28.Karaolis-Danckert N, Buyken AE, Kulig M, et al. How pre- and postnatal risk factors modify the effect of rapid weight gain in infancy and early childhood on subsequent fat mass development: results from the multicenter allergy study 90. Am J Clin Nutr. 2008;87:1356–1364. doi: 10.1093/ajcn/87.5.1356. [DOI] [PubMed] [Google Scholar]
  • 29.Baker JL, Michaelsen KF, Rasmussen KM, et al. Maternal prepregnant body mass index, duration of breastfeeding, and timing of complementary food introduction are associated with infant weight gain. Am J Clin Nutr. 2004;80:1579–1588. doi: 10.1093/ajcn/80.6.1579. [DOI] [PubMed] [Google Scholar]
  • 30.Griffiths LJ, Smeeth L, Hawkins SS, et al. Effects of infant feeding practice on weight gain from birth to 3 years. Arch Dis Child. 2009;94:577–582. doi: 10.1136/adc.2008.137554. [DOI] [PubMed] [Google Scholar]
  • 31.Wu WC, Wu JC. Chiang TL. Variation in the association between socioeconomic status and breastfeeding practices by immigration status in Taiwan: a population based birth cohort study BMC Pregnancy Childbirth. 2015;15:298. doi: 10.1186/s12884-015-0732-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Bryant M, Santorelli G, Fairley L, et al. Agreement between routine and research measurement of infant height and weight. Arch Dis Child. 2015;100:24–29. doi: 10.1136/archdischild-2014-305970. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12887_2020_2184_MOESM1_ESM.docx (18.9KB, docx)

Additional file 1. Results of logistic regression model. Table 1. Multiple logistic regression of childhood overweight or obesity at 36 months, 66 months, and 8 years of age according to the period of rapid weight gain (RWG) before the age of two. Table 2. Ordinal logistic regression of childhood overweight or obesity at 36 months, 66 months, and 8 years of age according to the period of rapid weight gain (RWG) before the age of two.

Data Availability Statement

The datasets generated and analyzed during the current study are not publicly available due to the terms of consent to which the participants agreed, but data are however available upon reasonable request and with permission of the Health Promotion Administration at the Ministry of Health and Welfare in Taiwan.


Articles from BMC Pediatrics are provided here courtesy of BMC

RESOURCES