Literature DB >> 16099778

Age trends of sibling resemblance for height, weight and BMI during growth in a mixed longitudinal sample from Sarsuna-Barisha, India.

E Rebato1, I Salces, R Saha, M Sinha, C Susanne, R C Hauspie, P Dasgupta.   

Abstract

BACKGROUND: Even though some studies have considered that sibling resemblance remains constant throughout the life cycle, several investigations emphasize the importance of age and its interactions with genetic and environmental factors in determining sibling similarity in several bodily traits. In fact, the study of age changes in familial resemblance is of great importance for the analysis of certain sources of variation observed in growth processes. AIM: The study examined sibling resemblance for height, weight and body mass index (BMI) in a mixed longitudinal sample from West Bengal, ages 2-19 years, in order to analyse the variations with age of the sibling resemblance for these phenotypes during growth. SAMPLE AND METHODS: Two hundred and forty-five brothers and 213 sisters from 138 middle-class nuclear families living in a semi-urban area of South Kolkata, India were analysed. The analysis of sibling resemblance was performed through correlations estimated by the maximum-likelihood method. The patterns of different trends of sibling resemblance with age were examined by fitting a cubic non-linear regression to the observed correlations.
RESULTS: The results show clear variations with age in the sibling resemblance for the traits height and weight, though to a lesser extent for BMI. In general, we found the highest correlation values during the period of infancy, a remarkable decrease during puberty, and a trend of increase towards the end of the growth cycle.
CONCLUSION: The study confirms the effect of age on the degree of similarity among siblings for height, weight and BMI in the sample. The sharp decline of correlation at adolescence can be interpreted in terms of the individual variation in age of reaching the adolescent growth spurt.

Mesh:

Year:  2005        PMID: 16099778     DOI: 10.1080/03014460500087857

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  2 in total

1.  Household and familial resemblance in risk factors for type 2 diabetes and related cardiometabolic diseases in rural Uganda: a cross-sectional community sample.

Authors:  Jannie Nielsen; Silver K Bahendeka; Susan R Whyte; Dan W Meyrowitsch; Ib C Bygbjerg; Daniel R Witte
Journal:  BMJ Open       Date:  2017-09-21       Impact factor: 2.692

2.  Parent-child resemblance in weight status and its correlates in the United States.

Authors:  Yinghui Liu; Hsin-Jen Chen; Lan Liang; Youfa Wang
Journal:  PLoS One       Date:  2013-06-10       Impact factor: 3.240

  2 in total

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