Literature DB >> 26895999

Age and Socioeconomic Gradients of Health of Indian Adults: An Assessment of Self-Reported and Biological Measures of Health.

Perianayagam Arokiasamy1, Paul Kowal2, Somnath Chatterji3.   

Abstract

This paper describes overall socioeconomic gradients and the age patterns of socioeconomic gradients of health of Indian adults for multiple health indicators encompassing the multiple aspects of health. Cross-sectional data on 11,230 Indians aged 18 years and older from the WHO-SAGE India Wave 1, 2007 were analyzed. Multivariate logit models were estimated to examine effects of socioeconomic status (education and household wealth) and age on four health domains: self-rated health, self-reported functioning, chronic diseases, and biological health measures. Results show that socioeconomic status (SES) was negatively associated with prevalence of each health measure but with considerable heterogeneity across age groups. Results for hypertension and COPD were inconclusive. SES effects are significant while adjusting for background characteristics and health risk factors. The age patterns of SES gradient of health depict divergence with age, however, no conclusive age pattern emerged for biological markers. Overall, results in this paper dispelled the conclusion of negative SES-health association found in some previous Indian studies and reinforced the hypothesis of positive association of SES with health for Indian adults. Higher prevalence of negative health outcomes and SES disparities of health outcomes among older age-groups highlight need for inclusive and focused health care interventions for older adults across socioeconomic spectrum.

Entities:  

Keywords:  Biomarkers; Chronic disease; Functional health; Self-rated health; Socioeconomic gradients; Socioeconomic status

Mesh:

Year:  2016        PMID: 26895999     DOI: 10.1007/s10823-016-9283-3

Source DB:  PubMed          Journal:  J Cross Cult Gerontol        ISSN: 0169-3816


  62 in total

1.  Converging health inequalities in later life--an artifact of mortality selection.

Authors:  M Beckett
Journal:  J Health Soc Behav       Date:  2000-03

2.  Stress, life events, and socioeconomic disparities in health: results from the Americans' Changing Lives Study.

Authors:  Paula M Lantz; James S House; Richard P Mero; David R Williams
Journal:  J Health Soc Behav       Date:  2005-09

3.  Convergence of prevalence rates of diabetes and cardiometabolic risk factors in middle and low income groups in urban India: 10-year follow-up of the Chennai Urban Population Study.

Authors:  Mohan Deepa; Ranjit Mohan Anjana; Datta Manjula; K M Venkat Narayan; Viswanathan Mohan
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

4.  Socio-economic distribution of cardiovascular risk factors and knowledge in rural India.

Authors:  M Justin Zaman; Anushka Patel; Stephen Jan; Graham S Hillis; P Krishnam Raju; Bruce Neal; Clara K Chow
Journal:  Int J Epidemiol       Date:  2012-02-16       Impact factor: 7.196

5.  Blood pressure measures among women in south India.

Authors:  P S Rao; S G Inbaraj; V R Subramaniam
Journal:  J Epidemiol Community Health       Date:  1984-03       Impact factor: 3.710

6.  The significance of education for mortality compression in the United States.

Authors:  Dustin C Brown; Mark D Hayward; Jennifer Karas Montez; Robert A Hummer; Chi-Tsun Chiu; Mira M Hidajat
Journal:  Demography       Date:  2012-08

7.  Health inequalities among British civil servants: the Whitehall II study.

Authors:  M G Marmot; G D Smith; S Stansfeld; C Patel; F North; J Head; I White; E Brunner; A Feeney
Journal:  Lancet       Date:  1991-06-08       Impact factor: 79.321

8.  Indicators of socioeconomic position (part 1).

Authors:  Bruna Galobardes; Mary Shaw; Debbie A Lawlor; John W Lynch; George Davey Smith
Journal:  J Epidemiol Community Health       Date:  2006-01       Impact factor: 3.710

9.  Understanding differences in health behaviors by education.

Authors:  David M Cutler; Adriana Lleras-Muney
Journal:  J Health Econ       Date:  2009-10-31       Impact factor: 3.804

10.  Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross sectional study.

Authors:  Sanjay Kinra; Liza J Bowen; Tanica Lyngdoh; Dorairaj Prabhakaran; Kolli Srinath Reddy; Lakshmy Ramakrishnan; Ruby Gupta; Ankalmadagu V Bharathi; Mario Vaz; Anura V Kurpad; George Davey Smith; Yoav Ben-Shlomo; Shah Ebrahim
Journal:  BMJ       Date:  2010-09-27
View more
  7 in total

1.  Violence and associated health outcomes among older adults in India: A gendered perspective.

Authors:  Shobhit Srivastava; T Muhammad
Journal:  SSM Popul Health       Date:  2020-11-25

2.  Community involvement, trust, and health-related outcomes among older adults in India: a population-based, multilevel, cross-sectional study.

Authors:  William Joe; Jessica M Perkins; S V Subramanian
Journal:  Age Ageing       Date:  2019-01-01       Impact factor: 10.668

3.  Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India.

Authors:  Y Selvamani; Pushpendra Singh
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

4.  Socio-economic and health determinants of preference for separate living among older adults: A cross-sectional study in India.

Authors:  T Muhammad; Arun Balachandran; Shobhit Srivastava
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

5.  Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis.

Authors:  Shobhit Srivastava; Naina Purkayastha; Himanshu Chaurasia; T Muhammad
Journal:  BMC Psychiatry       Date:  2021-04-07       Impact factor: 3.630

6.  An association between multi-morbidity and depressive symptoms among Indian adults based on propensity score matching.

Authors:  Saurabh Singh; Neha Shri; Laxmi Kant Dwivedi
Journal:  Sci Rep       Date:  2022-09-15       Impact factor: 4.996

7.  Feeling about living arrangements and associated health outcomes among older adults in India: a cross-sectional study.

Authors:  Shobhit Srivastava; Subhojit Shaw; Himanshu Chaurasia; Naina Purkayastha; T Muhammad
Journal:  BMC Public Health       Date:  2021-07-06       Impact factor: 3.295

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.