Skip to main content
Journal of Epidemiology logoLink to Journal of Epidemiology
. 2023 Feb 5;33(2):63–67. doi: 10.2188/jea.JE20200562

Breastfeeding in Infancy in Relation to Subsequent Physical Size: A 20-year Follow-up of the Ibaraki Children’s Cohort Study (IBACHIL)

Mizuki Sata 1,2,3, Kazumasa Yamagishi 2,3,4, Toshimi Sairenchi 2,4,5, Fujiko Irie 6, Keiko Sunou 7, Hiroshi Watanabe 4, Hiroyasu Iso 8, Hitoshi Ota 2,4
PMCID: PMC9794444  PMID: 34744093

Abstract

Background

Breastfeeding is said to prevent overweight and obesity in childhood but the evidence about its long-term impact on body size into adolescence and adulthood is scarce. We sought to examine the association between feeding types and subsequent physical size at the ages of 3, 6, 12, and 22 years.

Methods

The Ibaraki Children’s Cohort (IBACHIL) Study, which began in 1992, involved a cohort of 4,592 Japanese children from 87 communities of a single prefecture whose parents answered health questionnaires about their child’s health and life habits at the age of 3 years. Follow-up questionnaires were distributed to the same cohort when they were 6, 12, and 22 years old. Self-reported height and weight, body mass index (BMI), and overweight status at ages of 3 (n = 4,290), 6 (n = 1,999; proportion of participants analyzed = 47%), 12 (n = 2,227; 52%), and 22 (n = 1,459; 34%) years were compared according to feeding type (breastfeeding, formula feeding, and mixed feeding) during infancy.

Results

At the age of 3 years, multivariable adjusted-mean weight and prevalence of overweight were less for breastfed children than those formula-fed in both boys (weight: 14.6 kg vs 14.7 kg, P = 0.07, overweight: 6.3% vs 9.3%, P = 0.03) and in girls (14.0 kg vs 14.2 kg, P = 0.01 and 10.4% vs 13.6%, P = 0.06). However, there were no statistically significant differences in weight, BMI, and overweight at the ages of 6, 12, and 22 years according to feeding type.

Conclusion

Breastfeeding may prevent overweight in childhood, but its impact is not significant in adolescence and adulthood.

Key words: children, body mass index, breast feeding, cohort study, epidemiology

INTRODUCTION

The World Health Organization has recommended that babies be breastfed for the first 6 months of life.1 A systematic review (including cohort, case-control, and cross-sectional studies) reported that infants fed on breast milk had a reduced risk of childhood obesity (pooled odds ratio [OR] 0.74; 95% confidence interval [CI], 0.70–0.78).2 However, it has been less clear whether that effect would persist later in life; there have been only two cohort studies out of 12 published that reported a significant association between breastfeeding and subsequent overweight/obesity among ages 20 years or older.2 A quantitative review reported that whether feeding type-associated differences of mean body mass index (BMI; kg/m2) would remain long term was likely to be influenced by publication bias and confounding factors.3 Therefore, we sought to systematically investigate the long-term effects of feeding types during infancy on height, weight, BMI, and overweight by surveying a Japanese cohort at multiple time points (3, 6, 12, and 22 years old) and adjusting for environmental factors, such as parental occupation and parental physical size.

METHODS

Participants

The Ibaraki Children’s Cohort Study (IBACHIL) is a birth cohort study involving children born in 1989 from 87 communities across Ibaraki Prefecture, Japan. In 1992, a health questionnaire was distributed to parents of children who attended a community-based health check for 3-year-olds. Follow-up questionnaire surveys were carried out when the children were at the ages of 6 and 12 years and when they reached early adulthood at 22. The questionnaire surveys were completed by the parents of the children at ages 3, 6, and 12 years, but at age 22, the young adults themselves completed the survey.

The study protocol was approved by the Epidemiology Combination Ethic Review Committee of Ibaraki Prefecture.

Baseline measurements

The parent-administrated questionnaire, distributed when the child was 3 years old, included several items related to lifestyle and physical factors, such as height, weight, eating-habits (including feeding in infancy), and living arrangement. The participants’ heights and weights were transcribed from medical records of their health checkup for 3-year-olds and recorded in their Maternal and Child Health Handbook (MCH Handbook) by qualified medical professionals in clinical settings.4 Types of feeding were classified as breastfed, formula-fed, or mixed fed.

Baseline BMI was calculated as weight (kg) divided by the square of the height in meters (m2). Overweight was defined as BMI ≥17.89 kg/m2 for boys and ≥17.56 kg/m2 for girls.5 “Waking up after 9 am” was defined as waking up late, “going to bed after 11 pm” as going to bed late, “outdoor play” as playing outside, and “father’s/mother’s full- or part-time job” as father’s/mother’s employment. Parental BMI was calculated as weight (kg) divided by the square of the height in meters (m2). Parental overweight status was defined as BMI ≥25.0 kg/m2.

Follow-up measurements

The follow-up questionnaire surveys carried out at ages 6, 12, and 22 years asked the respondents their height (cm) and weight (kg). Overweight was defined as BMI ≥17.55 kg/m2 for boys and ≥17.34 kg/m2 for girls at the age of 6 years; ≥21.22 kg/m2 for boys and ≥21.68 kg/m2 for girls at the age of 12 years; and ≥25.0 kg/m2 at the age of 22 years.5

Statistical analyses

Differences in mean values or frequencies of the baseline characteristics that were assumed to be potential confounding factors in the present study, according to the feeding type (breastfed, formula-fed, and mixed fed) were tested using the analysis of variance. Sex-specific mean values and proportions for each outcome according to the feeding types were examined using the analysis of covariance, adjusted for the participant’s baseline paternal and maternal height, weight, and occupation as is related to feeding type. To examine potential follow-up bias, baseline characteristics between those who dropped out and those who continued follow-up at ages of 6, 12, and 22 years (eTable 1, eTable 2, and eTable 3) were compared using the Student t-test or chi-square analysis. Baseline characteristics were also investigated using analysis of variance according to feeding type any by the participants’ age (6, 12, and 22 years old) (eTable 4, eTable 5, and eTable 6).

All statistical analyses were performed with SAS version 9.4 software (SAS Institute, Inc., Cary, NC, USA). All probability values for statistical tests were two-tailed, and P values of <0.05 were regarded as statistically significant.

RESULTS

Among 29,375 children born in Ibaraki Prefecture in 1989,6 parents of 4,592 children returned completed questionnaires when they were 3 years old; 2,141 returned the follow-up questionnaire at age 6 (follow-up rate, 46.6%); 2,375 at age 12 (51.7%); and 1,559 participants returned the follow-up questionnaire at age 22 (34.0%). A total of 302 participants whose feeding information was incomplete at the baseline (3 years old) questionnaire, whose gender was undetermined, or who were outliers in terms of birthweight (low birth weight: <2,500 g or high birth weight: ≥5,000 g) were excluded from the study. The final analyses included 4,290 children (2,032 girls and 2,258 boys) at the age of 3 years; 1,999 children (938 girls and 1,061 boys) at the age of 6; 2,227 children (993 girls and 1,234 boys) at the age of 12; and 1,459 young adults (688 women and 771 men) at the age of 22.

The distribution of nutrient feeding frequency was: 30.7% (29.4% in boys and 32.2% in girls) for breastfed, 40.8% (41.9% in boys and 39.6% in girls) for formula-fed, and 28.5% (28.7% in boys and 28.3% in girls) for mixed fed. As shown in Table 1, breastfed children were more likely to have brothers or sisters. Fathers and mothers of breastfed boys had higher mean height, and their mothers had lower mean weight and BMI, and there was a lower proportion of overweight. Mixed-fed boys’ mothers had lower mean weight and BMI and there was a lower proportion of overweight. There was no association between feeding types and girls’ paternal physical size. The proportion of employed mothers was higher among formula-fed children than breastfed children. Other characteristics did not differ across the feeding types.

Table 1. Sex-specific mean values (standard deviations) and proportions of baseline characteristics at age of 3 years among 2,258 boys and 2,032 girls, IBACHIL.

Types of feeding Boys Girls


Formula feeding Mixed feeding Breast feeding Formula feeding Mixed feeding Breast feeding
(n = 946) (n = 648) (n = 664) (n = 804) (n = 574) (n = 654)
Birth height, cm 50.0 (1.9) 50.1 (1.8) 50.1 (1.7) 49.4 (1.8) 49.4 (1.8) 49.5 (1.9)
Birth weight, kg 3.2 (0.4) 3.3 (0.4) 3.3 (0.4) 3.1 (0.4) 3.2 (0.4) 3.2 (0.3)
Having brothers or sisters, % 74.9 78.9 82.7*** 74.8 75.4 81.8**
Waking up late ≥9 am, % 4.8 3.4 4.1 7.1 5.4 4.7
Sleeping late ≥11 pm, % 5.7 4.9 5.3 5.5 7.3 4.9
Active body movements, % 90.4 92.7 92.8 89.8 90.7 88.5
Playing outside, % 94.9 94.6 95.3 93.9 95.1 95.0
Paternal height, cm 170.3 (5.6) 170.7 (5.6) 171.0 (5.5)** 170.1 (5.6) 170.3 (5.4) 170.5 (5.7)
Paternal weight, kg 66.8 (9.4) 67.7 (9.7) 67.5 (9.1) 66.9 (9.1) 67.1 (9.1) 67.4 (9.3)
Paternal body mass index, kg/m2 23.0 (2.9) 23.2 (2.9) 23.1 (2.8) 23.1 (2.7) 23.1 (2.8) 23.2 (2.8)
Paternal overweight, % 22.4 24.2 23.2 21.1 25.5 23.9
Father employed, % 81.4 83.3 83.6 81.7 81.0 82.6
Maternal height, cm 157.0 (5.2) 157.4 (5.0) 157.6 (4.9)* 157.0 (4.8) 157.3 (4.9) 157.4 (4.8)
Maternal weight, kg 53.2 (7.9) 52.3 (6.6)* 52.2 (6.1)** 52.4 (6.8) 52.3 (6.7) 52.1 (6.7)
Maternal body mass index, kg/m2 21.5 (2.9) 21.1 (2.4)*** 21.0 (2.2)*** 21.3 (2.6) 21.2 (2.6) 21.0 (2.5)
Maternal overweight, % 11.4 6.4*** 5.7*** 8.5 8.3 7.2
Mother employed, % 24.8 24.1 13.7*** 25.2 26.3 13.8***

*P < 0.05, **P < 0.01, ***P < 0.001, compared with formula feeding tested using the analysis of variance.

At the age of 3 years, multivariable-adjusted mean height and weight were lower among breastfed boys and girls than the formula-fed (Table 2). Mean BMI was less for breastfed girls than those who were formula-fed. The proportion of overweight was less for breastfed boys and girls than the formula-fed (boys: 6.3% vs 9.3%, P = 0.03 and girls: 10.4% vs 13.6%, P = 0.06). At the ages of 6, 12, and 22 years, no such differences were observed for both boys and girls.

Table 2. Multivariable-adjusted mean values (standard errors) and proportions of physical size according to the types of feeding at ages of 3, 6, 12, and 22 years.

Types of feeding Boys Girls


Formula feeding Mixed feeding Breast feeding Formula feeding Mixed feeding Breast feeding
Age of 3 years            
n 946 648 664 804 574 654
 Height, cm 95.0 (0.11) 95.0 (0.13) 94.6 (0.13)** 93.7 (0.11) 93.8 (0.13) 93.3 (0.12)*
 Weight, kg 14.7 (0.05) 14.8 (0.06) 14.6 (0.06) 14.2 (0.06) 14.2 (0.07) 14.0 (0.06)*
 Body mass index, kg/m2 16.3 (0.04) 16.3 (0.05) 16.3 (0.05) 16.2 (0.04) 16.1 (0.05) 16.0 (0.05)
 Overweight, % 9.3 8.7 6.3* 13.6 10.9 10.4
 
Age of 6 years            
n 443 287 331 367 267 304
 Height, cm 114.0 (0.24) 113.7 (0.28) 114.0 (0.27) 112.5 (0.27) 112.9 (0.32) 113.2 (0.30)
 Weight, kg 20.8 (0.18) 20.7 (0.21) 21.1 (0.20) 20.2 (0.18) 20.4 (0.21) 20.4 (0.20)
 Body mass index, kg/m2 15.9 (0.10) 16.0 (0.12) 16.2 (0.11) 15.9 (0.10) 16.0 (0.12) 15.9 (0.11)
 Overweight, % 12.7 10.7 17.1 15.9 16.2 16.0
 
Age of 12 years            
n 520 337 377 407 269 317
 Height, cm 155.2 (0.34) 155.7 (0.42) 155.1 (0.40) 153.0 (0.27) 153.5 (0.34) 153.4 (0.31)
 Weight, kg 46.2 (0.41) 46.1 (0.51) 46.0 (0.48) 44.3 (0.38) 45.2 (0.47) 45.0 (0.44)
 Body mass index, kg/m2 19.1 (0.13) 18.9 (0.16) 19.0 (0.15) 18.9 (0.13) 19.1 (0.17) 19.0 (0.15)
 Overweight, % 19.9 15.1 18.4 14.5 14.6 14.6
 
Age of 22 years            
n 306 222 243 283 191 214
 Height, cm 171.9 (0.30) 171.8 (0.35) 172.5 (0.34) 158.6 (0.27) 158.1 (0.33) 158.6 (0.31)
 Weight, kg 64.4 (0.56) 63.5 (0.65) 65.4 (0.63) 51.9 (0.44) 51.8 (0.54) 51.4 (0.51)
 Body mass index, kg/m2 21.8 (0.18) 21.5 (0.21) 21.9 (0.20) 20.6 (0.16) 20.7 (0.20) 20.4 (0.19)
 Overweight, % 13.4 10.4 13.9 7.6 6.8 4.9

P < 0.1, *P < 0.05, **P < 0.01, compared with formula feeding tested using the analysis of covariance.

Adjusted for paternal and maternal height, weight, and occupation.

We compared the baseline characteristics, including the distribution of feeding types, between those who dropped out and those who continued follow-up at ages of 6, 12, and 22 years. There were no material differences regarding children’s height, weight, BMI, and overweight status at age of 3 years between participants and non-participants (eTable 1, eTable 2, and eTable 3). As shown in eTable 4, eTable 5, and eTable 6, we observed similar baseline characteristics according to the feeding types among participants at ages of 6, 12, and 22 years.

DISCUSSION

We found that, at age of 3 years, boys and girls who were breastfed in infancy were smaller in stature and lighter in body weight than those who were formula-fed. The proportion of overweight children was lower for breastfed girls and boys than those formula-fed; however, no such associations were found at ages of 6, 12, and 22 years.

The association of feeding types with subsequent body size and obesity has been reported from many studies of infants,2,79 several studies10,11 of school children, and to our best knowledge, only two studies12,13 of adults. In a birth cohort of 1,265 children born in Christchurch, New Zealand in 1977, a significant association was found between longer duration of breast feeding and lower adult BMI at ages 30 and 35.12 Another cohort study of 9,377 children born in England, Scotland, and Wales in 1958 reported that breastfeeding for more than 1 month was associated with lower risk of obesity (BMI ≥30 kg/m2) at ages of 44 to 45 years, compared with formula feeding (multivariable relative risk 0.85; 95% CI, 0.75–0.97).13 On the other hand, other cohort studies found no association between breastfeeding and risk of overweight/obesity in adulthood.14,15 In the present study, we found that the proportion of those overweight among 3-year-olds was lower for breastfed than formula-fed children, but these differences were not observed at ages 6, 12, and 22, suggesting that the potential benefit of breastfeeding is unlikely lasts for many years.

Though the mechanisms linking breastfeeding to childhood physical size are not clear, bioactive and behavioral factors are likely to play a role. Breastfeeding decreases appetite-associated peptides and secretion of ghrelin, which may reduce infant appetite, leading to reduced risk of obesity.16 Leptin, a hormone that regulates food intake and energy metabolism, is present in breast milk and serum leptin values have been reported to be higher in breastfed than in formula-fed infants.17 Formula-fed children have been reported to have a higher protein intake than breastfed children.18 Higher protein intake in early childhood is thought to upregulate secretion of insulin and insulin-like growth factor-1 (IGF-1), which are associated with an early adiposity rebound.19 Additionally, the capacity for self-regulation of milk intake may affect the infant’s body size. In a previous study, formula-fed infants in early infancy were more likely to empty the bottle in late infancy than were those who were fed directly at the breast, regardless of breast or formula milk.20

Our finding of no long-term effect of breastfeeding on adolescence or adulthood BMI was consistent with the results of previous studies.3 The long-term importance of breastfeeding on BMI may be limited because lifestyles at adolescence and adulthood may have a greater impact on BMI.

The strength of this study is its long-term prospective design. As far as we know, there have been no reports from Asia on the long-term effects of breastfeeding on children’s height, weight, and BMI from infancy into early adulthood.

On the other hand, the present study has several limitations. First, while the heights and weights of the 3-year-olds were accurately transcribed from medical records recorded in the participants’ MCH Handbooks, those of the follow-up surveys were derived from responses to self-administered questionnaires. A previous study of 490 girls and 385 boys aged 8–12 years showed that self-reported weight was understated by 1.255 kg for girls and 0.572 kg for boys, and height was also understated by 0.951 cm for girls and 0.655 cm for boys.21 In another study, involving 5,870 women and 2,200 men and aged 20–44 years, weight was understated by 0.8 kg for women and 0.3 kg for men, whereas height was overstated by 0.7 cm for women and 0.6 cm for men.22 However, any possible misclassification resulting from self-reporting should be non-differential according to feeding types; thus, the observed association in our study may be somewhat underestimated and the real associations could be stronger. Second, the follow-up rate was not very high (47% at age of 6 years, 52% at age of 12 years, and 34% at age of 22 years). The follow-up rate from baseline (birth to infancy) to adulthood were higher in England,13 New Zealand,12 Brazil,23 and the Philippines24 (78% at 44–45 years, 76% at 35 years, 73% at 23 years, and 62% at 21 years) but lower in India25 (19% at 32 years). However, we found that the baseline characteristics, including the distribution of feeding types, did not differ materially between participants and non-participants at ages of 6, 12, and 22 years. We also observed similar baseline characteristics according to feeding type among participants at ages of 6, 12, and 22 years. Therefore, the possibility of follow-up bias would be minimal. Third, we did not collect information on duration of breastfeeding and timing of solid foods introduction. Previous studies have reported that a longer duration of breastfeeding8 or delayed introduction of solids26 was associated with a decreased risk of being overweight. Fourth, we could not adjust for unmeasured confounders, such as socioeconomic status27 and maternal smoking status.28 However, the association between breastfeeding and a child’s subsequent body size did not change after adjustment for parental occupation, which is one of the major socioeconomic status variables. We did not collect data on maternal smoking status, but the prevalence of maternal smoking was reported low (5%) in Japan.29

Conclusion

Breastfeeding may contribute to appropriate body size for girls and boys in early childhood, but its impact is diminished long-term in adolescence or adulthood; therefore, the beneficial effect of feeding types on subsequent children’s physical size may be limited to the first few years of life.

ACKNOWLEDGEMENTS

This study is part of a project executed by the Ibaraki Prefectural Government, and was supported by Grants-in-Aid for JSPS Research Fellow (Grant Number JP16J10536), Research Activity Start-up (Grant Number JP18H06348), and Early-Career Scientists (Grant Number JP20K18967). We appreciate Atsuko Matsumoto and the persons who worked for municipal office and public health center for their support. We also thank Brian K. Purdue and Thomas Mayers, Medical English Communications Center, University of Tsukuba, for English revision.

Conflicts of interest: None declared.

SUPPLEMENTARY MATERIAL

The following is the supplementary data related to this article:

eTable 1. Sex-specific mean values (standard deviations) and proportions of baseline characteristics at age of 6 years between participants and non-participants

eTable 2. Sex-specific mean values (standard deviations) and proportions of baseline characteristics at age of 12 years between participants and non-participants

eTable 3. Sex-specific mean values (standard deviations) and proportions of baseline characteristics at age of 22 years between participants and non-participants

eTable 4. Sex-specific mean values (standard deviations) and proportions of baseline characteristics among participants at age of 6 years

eTable 5. Sex-specific mean values (standard deviations) and proportions of baseline characteristics among participants at age of 12 years

eTable 6. Sex-specific mean values (standard deviations) and proportions of baseline characteristics among participants at age of 22 years

je-33-063-s001.pdf (290.1KB, pdf)

REFERENCES

  • 1.World Health Organization. Assessing and managing children at primary health-care facilities to prevent overweight and obesity in the context of the double burden of malnutrition. 2017. [PubMed]
  • 2.Horta BL, Loret de Mola C, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104:30–37. 10.1111/apa.13133 [DOI] [PubMed] [Google Scholar]
  • 3.Owen CG, Martin RM, Whincup PH, et al. The effect of breastfeeding on mean body mass index throughout life: a quantitative review of published and unpublished observational evidence. Am J Clin Nutr. 2005;82:1298–1307. 10.1093/ajcn/82.6.1298 [DOI] [PubMed] [Google Scholar]
  • 4.Nakamura Y. Maternal and child health handbook in Japan. Japan Med Assoc J. 2010;53:259–265. [PMC free article] [PubMed] [Google Scholar]
  • 5.Cole TJ, Bellizzi MC, Flegal KM, et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320:1240–1243. 10.1136/bmj.320.7244.1240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ibaraki Prefecture Government. Ibaraki Prefecture Zyozyu Zinkou Tyousa Houkokusyo. 1989. Available at: https://www.pref.ibaraki.jp/kikaku/tokei/fukyu/tokei/betsu/jinko/nenpo/jinko01/documents/nenpou-jinko01-hyo06.pdf (Accessed March 2021).
  • 7.Arenz S, Rückerl R, Koletzko B, et al. Breast-feeding and childhood obesity-a systematic review. Int J Obes Relat Metab Disord. 2004;28:1247–1256. 10.1038/sj.ijo.0802758 [DOI] [PubMed] [Google Scholar]
  • 8.Harder T, Bergmann R, Kallischnigg G, et al. Duration of breastfeeding and risk of overweight: a meta-analysis. Am J Epidemiol. 2005;162:397–403. 10.1093/aje/kwi222 [DOI] [PubMed] [Google Scholar]
  • 9.Yan J, Liu L, Zhu Y, et al. The association between breastfeeding and childhood obesity: a meta-analysis. BMC Public Health. 2014;14:1267. 10.1186/1471-2458-14-1267 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yamakawa M, Yorifuji T, Inoue S, Kato T, Doi H. Breastfeeding and obesity among schoolchildren: a nationwide longitudinal survey in Japan. JAMA Pediatr. 2013;167:919–925. 10.1001/jamapediatrics.2013.2230 [DOI] [PubMed] [Google Scholar]
  • 11.Metzger MW, McDade TW. Breastfeeding as obesity prevention in the United States: a sibling difference model. Am J Hum Biol. 2010;22:291–296. 10.1002/ajhb.20982 [DOI] [PubMed] [Google Scholar]
  • 12.Fergusson DM, McLeod GF, Horwood LJ. Breast feeding, infant growth, and body mass index at 30 and 35 years. Paediatr Perinat Epidemiol. 2014;28:545–552. 10.1111/ppe.12144 [DOI] [PubMed] [Google Scholar]
  • 13.Rudnicka AR, Owen CG, Strachan DP. The effect of breastfeeding on cardiorespiratory risk factors in adult life. Pediatrics. 2007;119:e1107–e1115. 10.1542/peds.2006-2149 [DOI] [PubMed] [Google Scholar]
  • 14.Péneau S, Hercberg S, Rolland-Cachera MF. Breastfeeding, early nutrition, and adult body fat. J Pediatr. 2014;164:1363–1368. 10.1016/j.jpeds.2014.02.020 [DOI] [PubMed] [Google Scholar]
  • 15.Fall CH, Borja JB, Osmond C, et al. ; COHORTS group . Infant-feeding patterns and cardiovascular risk factors in young adulthood: data from five cohorts in low- and middle-income countries. Int J Epidemiol. 2011;40:47–62. 10.1093/ije/dyq155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Savino F, Liguori SA. Update on breast milk hormones: leptin, ghrelin and adiponectin. Clin Nutr. 2008;27:42–47. 10.1016/j.clnu.2007.06.006 [DOI] [PubMed] [Google Scholar]
  • 17.Savino F, Costamagna M, Prino A, et al. Leptin levels in breast-fed and formula-fed infants. Acta Paediatr. 2002;91:897–902. 10.1111/j.1651-2227.2002.tb02874.x [DOI] [PubMed] [Google Scholar]
  • 18.Escribano J, Luque V, Ferre N, et al. ; European Childhood Obesity Trial Study Group . Effect of protein intake and weight gain velocity on body fat mass at 6 months of age: the EU Childhood Obesity Programme. Int J Obes (Lond). 2012;36:548–553. 10.1038/ijo.2011.276 [DOI] [PubMed] [Google Scholar]
  • 19.Günther AL, Buyken AE, Kroke A. The influence of habitual protein intake in early childhood on BMI and age at adiposity rebound: results from the DONALD Study. Int J Obes (Lond). 2006;30:1072–1079. 10.1038/sj.ijo.0803288 [DOI] [PubMed] [Google Scholar]
  • 20.Li R, Fein SB, Grummer-Strawn LM. Do infants fed from bottles lack self-regulation of milk intake compared with directly breastfed infants? Pediatrics. 2010;125:e1386–e1393. 10.1542/peds.2009-2549 [DOI] [PubMed] [Google Scholar]
  • 21.Brault MC, Turcotte O, Aimé A, et al. Body mass index accuracy in preadolescents: can we trust self-report or should we seek parent report? J Pediatr. 2015;167:366–371. 10.1016/j.jpeds.2015.04.043 [DOI] [PubMed] [Google Scholar]
  • 22.Ikeda N. Validity of self-reports of height and weight among the general adult population in Japan: findings from national household surveys, 1986. PLoS One. 2016;11:e0148297. 10.1371/journal.pone.0148297 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Victora CG, Barros FC. Cohort profile: the 1982 Pelotas (Brazil) birth cohort study. Int J Epidemiol. 2006;35:237–242. 10.1093/ije/dyi290 [DOI] [PubMed] [Google Scholar]
  • 24.Adair LS. Size at birth and growth trajectories to young adulthood. Am J Hum Biol. 2007;19:327–337. 10.1002/ajhb.20587 [DOI] [PubMed] [Google Scholar]
  • 25.Bhargava SK, Sachdev HS, Fall CH, et al. Relation of serial changes in childhood body-mass index to impaired glucose tolerance in young adulthood. N Engl J Med. 2004;350:865–875. 10.1056/NEJMoa035698 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Seach KA, Dharmage SC, Lowe AJ, et al. Delayed introduction of solid feeding reduces child overweight and obesity at 10 years. Int J Obes (Lond). 2010;34:1475–1479. 10.1038/ijo.2010.101 [DOI] [PubMed] [Google Scholar]
  • 27.Langnäse K, Mast M, Müller MJ. Social class differences in overweight of prepubertal children in northwest Germany. Int J Obes Relat Metab Disord. 2002;26:566–572. 10.1038/sj.ijo.0801956 [DOI] [PubMed] [Google Scholar]
  • 28.Oken E, Levitan EB, Gillman MW. Maternal smoking during pregnancy and child overweight: systematic review and meta-analysis. Int J Obes (Lond). 2008;32:201–210. 10.1038/sj.ijo.0803760 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Suzuki K, Shinohara R, Sato M, Otawa S, Yamagata Z. Association between maternal smoking during pregnancy and birth weight: an appropriately adjusted model from the Japan Environment and Children’s Study. J Epidemiol. 2016;26:371–377. 10.2188/jea.JE20150185 [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

je-33-063-s001.pdf (290.1KB, pdf)

Articles from Journal of Epidemiology are provided here courtesy of Japan Epidemiological Association

RESOURCES