Literature DB >> 9690276

Socio-economic and dietary influences on leg length and trunk length in childhood: a reanalysis of the Carnegie (Boyd Orr) survey of diet and health in prewar Britain (1937-39).

D J Gunnell1, G D Smith, S J Frankel, M Kemp, T J Peters.   

Abstract

Social class differences in height have been recognised for many centuries. However, few studies have examined the extent to which these differences are made up of differences in leg length or trunk length. This paper reanalyses cross-sectional information on children examined in Britain in the 1930s. We assess associations between socio-economic status and diet and the components of childhood stature. The analyses were based on the records of 2990 children aged 2 years to 14 years 9 months who were examined in the Carnegie (Boyd Orr) survey of diet and health (1937-39). z-Scores for the measures of childhood stature were calculated using polynomial regression techniques with the study population as the standard. Univariable and multivariable statistical techniques were used to assess the relationships between childhood height, leg length and trunk length, and dietary and socio-economic factors measured at the level of the household. Leg length was the component of stature most strongly associated with measures of childhood diet and socio-economic status. A greater part of the difference in stature between socio-economic groups was caused by differences in leg length rather than trunk length. In multiple regression analyses, district of residence and family food expenditure were generally the two factors most strongly related to stature. In a subsample of the surveyed children, for whom birthweight information was available, trunk length and leg length were equally strongly related to birthweight. Leg length appears to be a particularly sensitive indicator of childhood socio-economic circumstances. Although contemporary studies highlight the importance of biological factors in determining childhood height, the data analysed in this study suggest that socio-economic circumstances were also important in explaining height differentials in prewar Britain.

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Year:  1998        PMID: 9690276     DOI: 10.1046/j.1365-3016.1998.0120s1096.x

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.980


  36 in total

1.  Associations of components of adult height with coronary heart disease in postmenopausal women: the British women's heart and health study.

Authors:  D A Lawlor; M Taylor; G Davey Smith; D Gunnell; S Ebrahim
Journal:  Heart       Date:  2004-07       Impact factor: 5.994

2.  Arm length is associated with type 2 diabetes mellitus in Japanese-Americans.

Authors:  M M Smits; E J Boyko; K M Utzschneider; D L Leonetti; M J McNeely; S Suvag; L A Wright; W Y Fujimoto; S E Kahn
Journal:  Diabetologia       Date:  2012-02-24       Impact factor: 10.122

3.  Testing for paternal influences on offspring telomere length in a human cohort in the Philippines.

Authors:  Dan T A Eisenberg; Peter H Rej; Paulita Duazo; Delia Carba; M Geoffrey Hayes; Christopher W Kuzawa
Journal:  Am J Phys Anthropol       Date:  2019-12-16       Impact factor: 2.868

4.  Breast feeding and cardiovascular disease risk factors, incidence, and mortality: the Caerphilly study.

Authors:  Richard M Martin; Yoav Ben-Shlomo; David Gunnell; Peter Elwood; John W G Yarnell; George Davey Smith
Journal:  J Epidemiol Community Health       Date:  2005-02       Impact factor: 3.710

5.  The effects of Internet addiction on the lifestyle and dietary behavior of Korean adolescents.

Authors:  Yeonsoo Kim; Jin Young Park; Sung Byuk Kim; In-Kyung Jung; Yun Sook Lim; Jung-Hyun Kim
Journal:  Nutr Res Pract       Date:  2010-02-24       Impact factor: 1.926

6.  Does waist indicate dyslipidemia better than BMI in Korean adult population?

Authors:  Seul-Ki Jeong; Man-Wook Seo; Young-Hyun Kim; Sun-Seog Kweon; Hae-Sung Nam
Journal:  J Korean Med Sci       Date:  2005-02       Impact factor: 2.153

Review 7.  Leg length, body proportion, and health: a review with a note on beauty.

Authors:  Barry Bogin; Maria Inês Varela-Silva
Journal:  Int J Environ Res Public Health       Date:  2010-03-11       Impact factor: 3.390

8.  Height and prostate cancer risk: a large nested case-control study (ProtecT) and meta-analysis.

Authors:  Luisa Zuccolo; Ross Harris; David Gunnell; Steven Oliver; Jane Athene Lane; Michael Davis; Jenny Donovan; David Neal; Freddie Hamdy; Rebecca Beynon; Jelena Savovic; Richard Michael Martin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-09       Impact factor: 4.254

9.  Detection of cardio-metabolic risk by BMI and waist circumference among a population of Guatemalan adults.

Authors:  Cria O Gregory; Camila Corvalán; Manuel Ramirez-Zea; Reynaldo Martorell; Aryeh D Stein
Journal:  Public Health Nutr       Date:  2007-12-20       Impact factor: 4.022

10.  Associations of height, leg length, and lung function with cardiovascular risk factors in the Midspan Family Study.

Authors:  D Gunnell; E Whitley; M N Upton; A McConnachie; G Davey Smith; G C M Watt
Journal:  J Epidemiol Community Health       Date:  2003-02       Impact factor: 3.710

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