Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Association of Childhood Economic Hardship with Adult Height and Adult Adiposity among Hispanics/Latinos. The HCHS/SOL Socio-Cultural Ancillary Study

  • Carmen R. Isasi ,

    carmen.isasi@einstein.yu.edu

    Affiliation Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America

  • Molly Jung,

    Affiliation Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America

  • Christina M. Parrinello,

    Affiliation Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America

  • Robert C. Kaplan,

    Affiliation Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America

  • Ryung Kim,

    Affiliation Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, United States of America

  • Noe C. Crespo,

    Affiliation School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ, United States of America

  • Patricia Gonzalez,

    Affiliation Graduate School of Public Health, San Diego State University, San Diego, CA, United States of America

  • Natalia A. Gouskova,

    Affiliation Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America

  • Frank J. Penedo,

    Affiliation Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America

  • Krista M. Perreira,

    Affiliation Department of Public Policy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America

  • Tatiana Perrino,

    Affiliation Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America

  • Daniela Sotres-Alvarez,

    Affiliation Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America

  • Linda Van Horn,

    Affiliation Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States of America

  • Linda C. Gallo

    Affiliation Department of Psychology, San Diego State University, San Diego, CA, United States of America

Abstract

The study examined the association of childhood and current economic hardship with anthropometric indices in Hispanic/Latino adults, using data from the HCHS/SOL Socio-cultural ancillary study (N = 5,084), a community-based study of Hispanic/Latinos living in four urban areas (Bronx, NY, Chicago, IL, Miami, FL, and San Diego, CA). Childhood economic hardship was defined as having experienced a period of time when one’s family had trouble paying for basic needs (e.g., food, housing), and when this economic hardship occurred: between 0–12, 13–18 years old, or throughout both of those times. Current economic hardship was defined as experiencing trouble paying for basic needs during the past 12 months. Anthropometry included height, body mass index (BMI), waist circumference (WC), and percentage body fat (%BF). Complex survey linear regression models were used to test the associations of childhood economic hardship with adult anthropometric indices, adjusting for potential confounders (e.g., age, sex, Hispanic background). Childhood economic hardship varied by Hispanic background, place of birth, and adult socio-economic status. Childhood economic hardship during both periods, childhood and adolescence, was associated with shorter height. Childhood economic hardship was associated with greater adiposity among US born individuals only. Current economic hardship was significantly associated with all three measures of adiposity (BMI, WC, %BF). These findings suggest that previous periods of childhood economic hardship appear to influence adult height more than adiposity, whereas current economic hardship may be a better determinant of adult adiposity in Hispanics.

Introduction

Studies examining social inequalities as determinants of health demonstrate that early socio-economic disadvantage contributes to the development of obesity and chronic diseases later in life. [17] Most of the studies reporting an inverse association of childhood socio-economic status (SES) and adult obesity have been conducted in developed societies.[8] In developing countries, this association appears to be reversed, with studies reporting greater obesity among individuals of higher SES.[1] A systematic review of childhood socio-economic position and waist circumference found that childhood poverty was associated with greater waist circumference, but adjustment for current SES weakened these associations.[9] In previous studies, childhood SES has been assessed in different ways (e.g. parental educational attainment) but few studies have used measures of economic hardship. Being raised in poverty may be a stronger predictor of adult adiposity since it is related to malnutrition during the intrauterine period and infancy, which can shape hormonal and physiological responses to richer diets later in life.[10,11] Furthermore, it has been reported that economic hardship during childhood may affect adult height due to malnutrition during early childhood.[10]

There is scarce information about relationships between childhood poverty and adult anthropometric traits in minority and immigrant populations living in developed societies.[8] Therefore, in this study we examined whether childhood and current adult economic hardship is associated with adult obesity in a sample of Latinos living in the US. We also examined adult height and other measures of adiposity (percentage body fat and waist circumference), as there is some evidence that the physiological effects of malnutrition early in life predisposes to short stature and the accumulation of abdominal fat.[10]

Materials and Methods

HCHS/SOL is a population-based cohort study of 16,415 Hispanic/Latino adults (ages 18–74 years) who were selected using a two-stage probability sampling design from four US communities (Chicago, IL; Miami, FL; Bronx, NY; San Diego, CA). The HCHS/SOL Socio-Cultural Ancillary Study (SCAS) was conducted to examine the role of socio-economic and psychosocial factors on cardiovascular health. This study enrolled 5,313 participants from the HCHS/SOL between February 2010 and June 2011. Participants were asked to return to the HCHS/SOL clinic within 9 months of their baseline exam to complete a comprehensive set of psychosocial measures. Details about the aims and methodology of HCHS/SOL and HCHS/SOL SCAS are published elsewhere.[1214] Of the 5,313 participants, 229 were excluded because they were missing body mass index (n = 11), childhood poverty (n = 67) or adult current poverty measures (n = 151), leaving a final analytic sample of N = 5,084. The study was conducted with the approval of the Institutional Review Boards (IRBs) of Albert Einstein College of Medicine, Feinberg School of Medicine at Northwestern University, Miller School of Medicine at the University of Miami, San Diego State University, and University of North Carolina at Chapel Hill. Written informed consent was obtained from all study participants.

Measures

Anthropometric indices.

Height (cm) was measured with a wall stadiometer (SECA 222, Germany) and weight (Kg) was obtained with a digital scale (Tanita Body Composition Analyzer, TBF 300, Japan). Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared. Waist circumference (cm) was obtained using the lateral border of the ilium as the anatomical reference, according to a standardized protocol. Percentage body fat was obtained by bioelectrical impedance analysis using the Tanita Body Composition Analyzer (TBF 300, Japan).

Childhood economic hardship.

Participants were asked to report whether their families ever experience a period of time when they had trouble paying for their basic needs, such as food, housing, medical care, or utilities, when they were a child. Those participants who answered “Yes” to the previous question were asked to report whether the hardship occurred between the ages of 0–12 years old or 13–18 years old. Using this information, the following categories were created:

  1. Did not experience childhood economic hardship
  2. Economic hardship during childhood (0–12 years old) only
  3. Economic hardship during adolescence (13–18 years old) only
  4. Economic hardship during both periods, childhood and adolescence.

Current economic hardship.

Participants were asked to report whether they experienced trouble paying for basic needs such as food, housing, medical care, or utilities in the last 12 months.

Socio-demographic variables.

Participants also reported their Hispanic/Latino background (Cuban, Dominican, Mexican, Puerto Rican, Central or South American, and other/mixed), date of birth, sex, place of birth (born within the 50 US states or not), years living in the US, annual household income and educational attainment.

Statistical analysis

Differences in childhood economic hardship by adult socio-demographic (e.g. sex, age, income) characteristics were evaluated using the Rao-Scott chi-square test. To assess the association of childhood economic hardship with adult anthropometric indices (height, BMI, waist circumference, and body fat), separate survey linear regression models were fit, adjusting for age, sex, educational achievement, household income, Hispanic/Latino background, field center, and years of living in the US. We tested for interactions by sex, age, place of birth, and age of immigration in the association of childhood economic hardship and anthropometric indices by adding a product term to the models (e.g. childhood economic hardship*sex). When the interactions were significant, results were presented stratified. In addition, the association of current (adult) economic hardship with adiposity measures was also examined using survey linear regression models adjusted for the aforementioned variables. Analyses were weighted to account for the complex sampling design and nonresponse using SAS-callable SUDAAN version 11.0 (SAS Institute, Cary, NC).

Results

The study sample included 3,163 women and 1,921 men. The mean (SD) age was 46.4 (13.7) years, with 3,117 (61.3%) ≥45 years old. Participants were predominantly born outside of the 50 US mainland states (82.7%) and were of low SES: 36.3% did not graduate from high school; 48.4% had annual household income ≤ $20,000. About half of participants (53.8%) reported currently experiencing economic hardship). Socio-demographic characteristics (sex, place of birth, educational achievement, and annual household income were similar between the included and excluded groups. However, the percentage of older adults (>45 years old) was higher in participants excluded from the analyses (70% vs. 61%, p value = 0.006). Fifty three percent of participants reported that their families had difficulties in paying for basic needs when they were children. Of those reporting childhood economic hardship, 25% reported that this economic hardship occurred during childhood only, 7% during adolescence only and 68% reported that this economic hardship occurred during childhood and adolescence.

Height

A multivariate model, adjusted for age, sex, Hispanic background, household income, educational attainment, field center and study design, showed that men were taller than women (β = 13.22, 95% confidence interval: 12.69, 13.74), and that there was an inverse association of age with height (β = -0.10 95% confidence interval: -0.12, -0.08). Individuals of Dominican (β = 4.08, 95% confidence interval: 2.75, 5.42), Puerto Rican (β = 2.98, 95% confidence interval: 1.82, 4.15) and Cuban background (β = 2.56, 95% confidence interval: 1.14, 3.99) were taller than individuals of Mexican heritage. The height of individuals of Central (β = -0.15, 95% confidence interval: 1.54, 1.23) and South American background (β = 0.77, 95% confidence interval: -0.64, 2.18) was not statistically significant different from individuals of Mexican background. Individuals born outside the US 50 states were significantly shorter than those born within the 50 states (β = -1.43, 95% confidence interval: -2.18, -0.68). This model also showed that participants who reported economic hardship during both childhood and adolescence were significantly shorter than those reporting not experiencing childhood poverty (β = -0.60, 95% confidence interval: -0.17, -0.04). Stratified analysis by sex (Table 1) indicated that the association between childhood economic hard ship and shorter stature was observed only in men (p for interaction = 0.0065). There was no interaction with place of birth or age at immigration.

thumbnail
Table 1. Multivariate survey linear regression models for the association of childhood economic hardship with adult anthropometric indices stratified by sex.

https://doi.org/10.1371/journal.pone.0149923.t001

Adiposity Measures

Multiple linear regression models adjusting for potential confounders showed that men had a lower BMI (β = -1.20; 95% confidence interval: -1.67, -0.73) and percentage body fat (β = -10.92; 95% confidence interval: -11.57, -10.26) but higher waist circumference (β = 2.15; 95% confidence interval: 0.92, 3.37) than women. Compared to individuals of Mexican background, participants of Puerto Rican origins had a higher BMI (β = 1.59; 95% confidence interval: 0.49, 2.69), but percentage body fat and waist circumference did not vary by Hispanic/Latino background. Overall, childhood economic hardship was not associated with adiposity measures. However, in stratified analysis we found that among individuals US born individuals childhood economic hardship during childhood and adolescence was associated with higher BMI, waist circumference and percentage body fat (Table 2), associations that were not observed in foreign-born individuals (p for interaction = 0.0378 for BMI, 0.0672 for waist circumference and 0.22 for percentage body fat). No interaction was observed with age, sex or age at immigration.

thumbnail
Table 2. Multivariate survey linear regression models for the association of childhood economic hardship with adult anthropometric indices stratified by place of birth.

https://doi.org/10.1371/journal.pone.0149923.t002

In addition, individuals reporting current economic hardship had higher BMI (β = 1.17; 95% confidence interval: 0.69, 1.66), larger waist circumference (β = 2.52; 95% confidence interval: 1.41, 3.64) and higher percentage body fat (β = 1.41; 95% confidence interval: 0.72, 2.10), compared to those without these difficulties, independently of age, sex, educational achievement, household income, Hispanic background, years living in the US and study design. Further adjustment for childhood economic hardship slightly attenuated the magnitude of effects for BMI (β = 1.12; 95% confidence interval: 0.63, 1.60), waist circumference (β = 2.24; 95% confidence interval: 1.10, 3.38) and percentage body fat (β = 1.32; 95% confidence interval: 0.61, 2.04). The association between current economic hardship and adiposity measures were stronger among US-born group, compared to the foreign-born (p for interaction = 0.005 for BMI, 0.013 for waist circumference and 0.009 for percentage body fat) (Table 3). No interaction was observed with age, sex or age at immigration.

thumbnail
Table 3. Multivariate survey linear regression models for the association of current economic hardship with adult adiposity indices stratified by place of birth.

https://doi.org/10.1371/journal.pone.0149923.t003

Discussion

In this study childhood economic hardship was associated with adult shorter stature, and was more pronounced in men than in women. Prior studies examining the association of childhood socio-economic conditions and adult obesity have shown inconsistent results, with a few studies reporting that childhood poverty predicted obesity among women, but not in men.[1517] In this study, we did not observe an interaction with sex, but there was a significant interaction with place of birth. There was an association between childhood economic hardship during childhood and adolescence with greater adiposity that was observed among US-born individuals only. Consistent with existing literature,[1,18] current socio-economic disadvantage was associated with significantly higher adiposity and this association was stronger among US-born participants. Economic hardship in adults may be associated with lower dietary quality and lack of opportunities for physical activity, which in turn could result in excess weight.[19,20] In addition, economic hardship could be associated with higher psychosocial stress, which has been shown to be associated with obesity.[21,22] Our findings indicate that childhood hardship attenuated the effects of current socio-economic conditions, which is consistent with the notion that childhood adversity could have long lasting implications, in particular if low socio-economic conditions persist.[23]

One important limitation of the study is the use of retrospective reports of childhood socio-economic conditions. About 50% of the sample reported having experienced economic hardship during childhood, and the majority reported hardship in both childhood and adolescence, suggesting persistent exposure to deprivation throughout the developing years. It is possible that individuals had limited ability to recall with accuracy the socio-economic conditions they grew up with at specific periods of their childhood; the fact that the majority of participants reported economic hardships during childhood and adolescents, and fewer reported hardship during one period alone. Furthermore, the study used a single question about family difficulties in paying for basic needs as a proxy for childhood economic hardship, and other relevant measures such as parental education was not assessed. Prospective studies that assessed childhood socioeconomic status at the moment of assembling the cohort, found that childhood socio-economic conditions predicted young adults’ weight status.[17] The positive association between childhood economic hardship and adiposity among US-born individuals could be explained by an environment characterized by limited access to healthy food and places to exercise, which is more predominant in low-income areas. An alternative explanation is the selective forces operating in the migration to the US, those who immigrated are postulated to be healthier and with economic resources, and possible other resilient factors, that made the migration possible.[24]

Short stature has been reported as a risk factor for chronic diseases;[25,26] but information about the correlates of adult height is scarce. In this sample of Hispanic/Latino adults, persistent childhood economic hardship was significantly associated with shorter stature, which could be related to poor nutrition during infancy and childhood. Data from middle and low income countries indicate that infant growth restriction is an important predictor of adult height.[27] Similarly, in countries where malnutrition is common, stunting predicted adult short stature.[28] [29] Other studies have also shown that height during infancy and childhood has a positive association with adult height.[30,31] It is interesting to note that in a Guatemalan cohort, stunting was not associated with adult adiposity.[28] The present study also found that being foreign born was associated with shorter stature, whereas individuals of Caribbean heritage were taller, compared to individuals of Mexican background. Consistent with our findings, an analysis of Mexican immigrants and Mexican American, born in the US, individual also found shorter stature among foreign-born.[24] As we did not collect information about early life characteristics such as nutritional status, we cannot address the specific factors that explain the observed associations with adult height. Nevertheless, these findings are intriguing and suggest that in addition to socio-economic conditions, genetic factors could be at play.[32]

Taken together, the study findings provide further evidence of the role of economic hardship on adult anthropometric indices. Whereas the study suggests that current socio-economic conditions are more relevant for adult adiposity, childhood economic hardship was associated with shorter stature. Shorter individuals have been found to be at increased risk of cardiovascular disease and other chronic conditions,[25,26] and recent evidence suggests that the genes that regulate height increase the risk of coronary disease.[33] Further studies are needed to help disentangle the interplay between genetic and socio-economic determinants of anthropometric traits, and the subsequent implications regarding the development of chronic diseases.

Acknowledgments

The authors thank the staff and participants of HCHS/SOL and the HCHS/SOL Sociocultural Ancillary Study for their important contributions. A complete list of staff and investigators is available on the study website http://www.cscc.unc.edu/hchs.

Author Contributions

Conceived and designed the experiments: CRI FJP LCG. Performed the experiments: CRI FJP LCG. Analyzed the data: CRI MJ. Contributed reagents/materials/analysis tools: RCK. Wrote the paper: CRI MJ CMP RCK RK LCG. Critical review of the manuscript: NCC PG NAG FJP KMP TP DS LVH.

References

  1. 1. McLaren L (2007) Socioeconomic status and obesity. Epidemiol Rev 29: 29–48. pmid:17478442
  2. 2. van der Horst K, Oenema A, Ferreira I, Wendel-Vos W, Giskes K, van Lenthe F, et al. (2007) A systematic review of environmental correlates of obesity-related dietary behaviors in youth. Health Educ Res 22: 203–226. pmid:16861362
  3. 3. Sarlio-Lahteenkorva S (2007) Determinants of long-term weight maintenance. Acta Paediatr Suppl 96: 26–28.
  4. 4. Drewnowski A, Specter SE (2004) Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 79: 6–16. pmid:14684391
  5. 5. Klohe-Lehman DM, Freeland-Graves J, Anderson ER, McDowell T, Clarke KK, Hanss-Nuss H, et al. (2006) Nutrition knowledge is associated with greater weight loss in obese and overweight low-income mothers. J Am Diet Assoc 106: 65–75; quiz 76–69. pmid:16390668
  6. 6. Kauhanen L, Lakka HM, Lynch JW, Kauhanen J (2006) Social disadvantages in childhood and risk of all-cause death and cardiovascular disease in later life: a comparison of historical and retrospective childhood information. Int J Epidemiol 35: 962–968. pmid:16556645
  7. 7. Kivimaki M, Smith GD, Juonala M, Ferrie JE, Keltikangas-Jarvinen L, Elovainio M, et al. (2006) Socioeconomic position in childhood and adult cardiovascular risk factors, vascular structure, and function: cardiovascular risk in young Finns study. Heart 92: 474–480. pmid:16159979
  8. 8. Senese LC, Almeida ND, Fath AK, Smith BT, Loucks EB (2009) Associations between childhood socioeconomic position and adulthood obesity. Epidemiol Rev 31: 21–51. pmid:19648176
  9. 9. Gonzalez D, Nazmi A, Victora CG (2009) Childhood poverty and abdominal obesity in adulthood: a systematic review. Cad Saude Publica 25 Suppl 3: S427–440. pmid:20027390
  10. 10. Calkins K, Devaskar SU (2011) Fetal origins of adult disease. Curr Probl Pediatr Adolesc Health Care 41: 158–176. pmid:21684471
  11. 11. Casey PH, Bradley RH, Whiteside-Mansell L, Barrett K, Gossett JM, Simpson PM (2012) Evolution of obesity in a low birth weight cohort. J Perinatol 32: 91–96. pmid:21660083
  12. 12. Sorlie PD, Aviles-Santa LM, Wassertheil-Smoller S, Kaplan RC, Daviglus ML, Giachello AL, et al. (2010) Design and implementation of the Hispanic Community Health Study/Study of Latinos. Ann Epidemiol 20: 629–641. pmid:20609343
  13. 13. Lavange LM, Kalsbeek WD, Sorlie PD, Aviles-Santa LM, Kaplan RC, Barnhart J, et al. (2010) Sample design and cohort selection in the Hispanic Community Health Study/Study of Latinos. Ann Epidemiol 20: 642–649. pmid:20609344
  14. 14. Gallo LC, Penedo F, Carnethon M, Isasi CR, Sotres-Alvarez D, Malcarme VL, et al. (2014) The Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study: Sample, design, and procedures. Ethnicity & Disease 24: 77–83.
  15. 15. Kestila L, Rahkonen O, Martelin T, Lahti-Koski M, Koskinen S (2009) Do childhood social circumstances affect overweight and obesity in early adulthood? Scand J Public Health 37: 206–219. pmid:19141544
  16. 16. Khlat M, Jusot F, Ville I (2009) Social origins, early hardship and obesity: a strong association in women, but not in men? Soc Sci Med 68: 1692–1699. pmid:19297066
  17. 17. Hernandez DC, Pressler E (2014) Accumulation of childhood poverty on young adult overweight or obese status: race/ethnicity and gender disparities. J Epidemiol Community Health 68: 478–484. pmid:24391207
  18. 18. Howel D, Stamp E, Chadwick TJ, Adamson AJ, White M (2013) Are social inequalities widening in generalised and abdominal obesity and overweight among English adults? PLoS One 8: e79027. pmid:24250823
  19. 19. Nguyen BT, Shuval K, Njike VY, Katz DL (2014) The Supplemental Nutrition Assistance Program and dietary quality among US adults: findings from a nationally representative survey. Mayo Clin Proc 89: 1211–1219. pmid:25107469
  20. 20. Leung CW, Epel ES, Ritchie LD, Crawford PB, Laraia BA (2014) Food insecurity is inversely associated with diet quality of lower-income adults. J Acad Nutr Diet 114: 1943–1953 e1942. pmid:25091796
  21. 21. Isasi CR, Parrinello CM, Jung MM, Carnethon MR, Birnbaum-Weitzman O, Espinoza RA, et al. (2015) Psychosocial stress is associated with obesity and diet quality in Hispanic/Latino adults. Ann Epidemiol 25: 84–89. pmid:25487969
  22. 22. Harding JL, Backholer K, Williams ED, Peeters A, Cameron AJ, Hare MJ, et al. (2013) Psychosocial stress is positively associated with body mass index gain over 5 years: Evidence from the longitudinal AusDiab study. Obesity (Silver Spring).
  23. 23. Levine ME, Cole SW, Weir DR, Crimmins EM (2015) Childhood and later life stressors and increased inflammatory gene expression at older ages. Soc Sci Med 130: 16–22. pmid:25658624
  24. 24. Crimmins E, Soldo BJ, Ki Kim J, Alley D (2005) Using anthropometric indicators for Mexicans in the United States and Mexico to understand the selection of migrants and the "Hispanic Paradox". Soc Biol 52: 164–177. pmid:17619609
  25. 25. Paajanen TA, Oksala NK, Kuukasjarvi P, Karhunen PJ (2010) Short stature is associated with coronary heart disease: a systematic review of the literature and a meta-analysis. Eur Heart J 31: 1802–1809. pmid:20530501
  26. 26. Emerging Risk Factors C (2012) Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysis. Int J Epidemiol 41: 1419–1433. pmid:22825588
  27. 27. Victora CG, Adair L, Fall C, Hallal PC, Martorell R, Richter L, et al. (2008) Maternal and child undernutrition: consequences for adult health and human capital. Lancet 371: 340–357. pmid:18206223
  28. 28. Li H, Stein AD, Barnhart HX, Ramakrishnan U, Martorell R (2003) Associations between prenatal and postnatal growth and adult body size and composition. Am J Clin Nutr 77: 1498–1505. pmid:12791630
  29. 29. Coly AN, Milet J, Diallo A, Ndiaye T, Benefice E, Simondon F, et al. (2006) Preschool stunting, adolescent migration, catch-up growth, and adult height in young senegalese men and women of rural origin. J Nutr 136: 2412–2420. pmid:16920863
  30. 30. Sachdev HS, Fall CH, Osmond C, Lakshmy R, Dey Biswas SK, Leary SD, et al. (2005) Anthropometric indicators of body composition in young adults: relation to size at birth and serial measurements of body mass index in childhood in the New Delhi birth cohort. Am J Clin Nutr 82: 456–466. pmid:16087993
  31. 31. Gigante DP, Nazmi A, Lima RC, Barros FC, Victora CG (2009) Epidemiology of early and late growth in height, leg and trunk length: findings from a birth cohort of Brazilian males. Eur J Clin Nutr 63: 375–381. pmid:18301438
  32. 32. Lango Allen H, Estrada K, Lettre G, Berndt SI, Weedon MN, Rivadeneira F, et al. (2010) Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467: 832–838. pmid:20881960
  33. 33. Nelson CP, Hamby SE, Saleheen D, Hopewell JC, Zeng L, Assimes TL, et al. (2015) Genetically Determined Height and Coronary Artery Disease. N Engl J Med.