Literature DB >> 26167802

Leg length and type 2 diabetes: what's the link?

Noel T Mueller1, Mark A Pereira.   

Abstract

PURPOSE OF REVIEW: Human leg length is determined by a complex interplay of genetics and environmental exposures during development, which may be associated with long-term metabolic disease risk. Here, we review recent literature on the link between relative leg length and type 2 diabetes in more and less economically developed societies, wherein the contextual influences on relative leg length are unique. We also hypothesize mechanisms underlying and mediating this association. RECENT
FINDINGS: Evidence from more economically prosperous Western populations and contemporary adult populations in China and Brazil indicates that lower relative leg length is associated with greater risk for impaired glucose homeostasis and type 2 diabetes. In Brazil, this association was stronger among women with early menarche. Although still poorly defined and in need of further research, the potential mechanisms likely involve suboptimal early-life net nutrition that simultaneously leads to retarded growth and impaired glucose regulation. An untested hypothesis is that the association is mediated by differences in skeletal muscle mass.
SUMMARY: Epidemiologic evidence from diverse settings points to humans with shorter legs relative to their stature having higher risk for type 2 diabetes. Although research is needed to test mechanistic hypotheses, the greatest potential for improving public health will come through identification of, and intervention upon, the upstream modifiable determinants of inadequate leg growth.

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Year:  2015        PMID: 26167802      PMCID: PMC4672946          DOI: 10.1097/MCO.0000000000000211

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  16 in total

1.  Childhood, adolescence, and longevity: A multilevel model of the evolution of reserve capacity in human life history.

Authors:  Barry Bogin
Journal:  Am J Hum Biol       Date:  2009 Jul-Aug       Impact factor: 1.937

2.  Growth and health.

Authors:  I LEITCH
Journal:  Br J Nutr       Date:  1951       Impact factor: 3.718

3.  Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr.

Authors:  I Janssen; S B Heymsfield; Z M Wang; R Ross
Journal:  J Appl Physiol (1985)       Date:  2000-07

4.  Relative leg length is associated with type 2 diabetes differently according to pubertal timing: the Brazilian longitudinal study of adult health.

Authors:  Noel T Mueller; Bruce B Duncan; Sandhi M Barreto; Dora Chor; Alvaro Vigo; Estela M L Aquino; Ellen W Demerath; Maria Inês Schmidt
Journal:  Am J Hum Biol       Date:  2014-10-18       Impact factor: 1.937

5.  Adolescent testosterone, muscle mass and glucose metabolism: evidence from the 'Children of 1997' birth cohort in Hong Kong.

Authors:  W W Hou; M A Tse; T H Lam; G M Leung; C M Schooling
Journal:  Diabet Med       Date:  2014-11-28       Impact factor: 4.359

6.  Fatness biases the use of estimated leg length as an epidemiological marker for adults in the NHANES III sample.

Authors:  Barry Bogin; Maria Inês Varela-Silva
Journal:  Int J Epidemiol       Date:  2008-01-09       Impact factor: 7.196

7.  Age at Menarche and Cardiometabolic Risk in Adulthood: The Coronary Artery Risk Development in Young Adults Study.

Authors:  Jill Dreyfus; David R Jacobs; Noel Mueller; Pamela J Schreiner; Antoinette Moran; Mercedes R Carnethon; Ellen W Demerath
Journal:  J Pediatr       Date:  2015-05-09       Impact factor: 6.314

8.  Effects of postnatal growth restriction and subsequent catch-up growth on neurodevelopment and glucose homeostasis in rats.

Authors:  Erica E Alexeev; Bo Lönnerdal; Ian J Griffin
Journal:  BMC Physiol       Date:  2015-06-05

9.  Relationships between neonatal weight, limb lengths, skinfold thicknesses, body breadths and circumferences in an Australian cohort.

Authors:  Emma Pomeroy; Jay T Stock; Tim J Cole; Michael O'Callaghan; Jonathan C K Wells
Journal:  PLoS One       Date:  2014-08-27       Impact factor: 3.240

10.  Cohort Profile: Longitudinal Study of Adult Health (ELSA-Brasil).

Authors:  Maria Inês Schmidt; Bruce B Duncan; José Geraldo Mill; Paulo A Lotufo; Dóra Chor; Sandhi Maria Barreto; Estela M L Aquino; Valéria Maria Azeredo Passos; Sheila M A Matos; Maria del Carmen B Molina; Marilia S Carvalho; Isabela M Bensenor
Journal:  Int J Epidemiol       Date:  2014-02-27       Impact factor: 7.196

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  4 in total

1.  Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation.

Authors:  Tianzhou Yang; Li Zhang; Liwei Yi; Huawei Feng; Shimeng Li; Haoyu Chen; Junfeng Zhu; Jian Zhao; Yingyue Zeng; Hongsheng Liu
Journal:  JMIR Med Inform       Date:  2020-06-18

2.  Early-life factors are associated with waist circumference and type 2 diabetes among Ghanaian adults: The RODAM Study.

Authors:  Ina Danquah; Juliet Addo; Daniel Boateng; Kerstin Klipstein-Grobusch; Karlijn Meeks; Cecilia Galbete; Erik Beune; Silver Bahendeka; Joachim Spranger; Frank P Mockenhaupt; Karien Stronks; Charles Agyemang; Matthias B Schulze; Liam Smeeth
Journal:  Sci Rep       Date:  2019-07-26       Impact factor: 4.379

3.  The Magnitude and Directions of the Associations between Early Life Factors and Metabolic Syndrome Differ across Geographical Locations among Migrant and Non-Migrant Ghanaians-The RODAM Study.

Authors:  Thijs G W van der Heijden; Felix P Chilunga; Karlijn A C Meeks; Juliet Addo; Ina Danquah; Erik J Beune; Silver K Bahendeka; Kerstin Klipstein-Grobusch; Frank P Mockenhaupt; Mitzi M Waltz; Charles Agyemang
Journal:  Int J Environ Res Public Health       Date:  2021-11-15       Impact factor: 3.390

4.  Implications of leg length for metabolic health and fitness.

Authors:  Meghan K Shirley; Owen J Arthurs; Kiran K Seunarine; Tim J Cole; Simon Eaton; Jane E Williams; Chris A Clark; Jonathan C K Wells
Journal:  Evol Med Public Health       Date:  2022-07-21
  4 in total

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