PMID- 31624365
OWN - NLM
STAT- MEDLINE
DCOM- 20210512
LR  - 20210512
IS  - 1476-5640 (Electronic)
IS  - 0954-3007 (Linking)
VI  - 74
IP  - 6
DP  - 2020 Jun
TI  - Heterogeneity in adult anthropometry by socioeconomic factors: Indian National 
      Family Health Survey 2006 and 2016.
PG  - 953-960
LID - 10.1038/s41430-019-0511-0 [doi]
AB  - BACKGROUND/OBJECTIVES: Recent evidence suggests nonconstant nature of dispersion 
      in adult women's body mass index (BMI) across sociodemographic groups. The 
      overall variances in BMI and height are also shown to have substantially changed 
      over time. We modeled complex variation in adults' anthropometry-BMI and 
      height-by wealth and education, and assessed their differences over time in 
      India. SUBJECTS/METHODS: Data from a total of 768,130 women and 180,691 men from 
      the Indian National Family Health Survey (NFHS) 2006 and 2016 were used for the 
      analysis. The average association between wealth and education with anthropometry 
      was assessed from linear regression models assuming constant variance. Individual 
      heterogeneity was modeled to obtain separate variances in anthropometry for each 
      wealth quintile and education level. All analyses were stratified by survey year 
      and sex. RESULTS: On average, the positive socioeconomic gradient in adult's BMI 
      and height persisted over time with slight attenuation. The residual variance in 
      BMI ranged from 10.1 to 14.9 (7.2-11.3) by education level and 6.1 to 17.4 
      (5.0-13.0) by household wealth for women (men) in 2006, and they increased over 
      time for the lower socioeconomic groups but remained the same or decreased for 
      the higher socioeconomic groups. No significant pattern was observed for 
      variation in height for both genders. CONCLUSIONS: We found potential reversal in 
      the socioeconomic patterning in BMI variability in India as suggested by the 
      increasing dispersion among the least educated and poorest populations. For a 
      comprehensive understanding of nutrition transition in developing countries, it 
      is necessary to assess the changes in means and variances of anthropometry in 
      tandem.
FAU - Kim, Rockli
AU  - Kim R
AUID- ORCID: 0000-0002-9864-3957
AD  - Harvard Center for Population and Development Studies, Cambridge, MA, USA. 
      rok495@mail.harvard.edu.
FAU - Kumar Pathak, Praveen
AU  - Kumar Pathak P
AD  - Department of Geography, Delhi School of Economics, University of Delhi, Delhi, 
      India.
FAU - Tripathi, Niharika
AU  - Tripathi N
AD  - National Institute of Medical Statistics, Indian Council of Medical Research, New 
      Delhi, India.
FAU - Subramanian, S V
AU  - Subramanian SV
AD  - Harvard Center for Population and Development Studies, Cambridge, MA, USA.
AD  - Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public 
      Health, Boston, MA, USA.
LA  - eng
PT  - Journal Article
DEP - 20191017
PL  - England
TA  - Eur J Clin Nutr
JT  - European journal of clinical nutrition
JID - 8804070
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - *Anthropometry
MH  - *Body Height
MH  - *Body Mass Index
MH  - Economic Status
MH  - Educational Status
MH  - Female
MH  - *Health Surveys
MH  - Humans
MH  - India
MH  - Male
MH  - Middle Aged
MH  - *Socioeconomic Factors
MH  - Young Adult
EDAT- 2019/10/19 06:00
MHDA- 2021/05/13 06:00
CRDT- 2019/10/19 06:00
PHST- 2018/10/15 00:00 [received]
PHST- 2019/09/27 00:00 [accepted]
PHST- 2019/09/19 00:00 [revised]
PHST- 2019/10/19 06:00 [pubmed]
PHST- 2021/05/13 06:00 [medline]
PHST- 2019/10/19 06:00 [entrez]
AID - 10.1038/s41430-019-0511-0 [pii]
AID - 10.1038/s41430-019-0511-0 [doi]
PST - ppublish
SO  - Eur J Clin Nutr. 2020 Jun;74(6):953-960. doi: 10.1038/s41430-019-0511-0. Epub 
      2019 Oct 17.