Cargando…

“Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study

BACKGROUND: The objective of this study is to investigate the magnitude and nature of health inequalities between indigenous (Scheduled Tribes) and non-indigenous populations, as well as between different indigenous groups, in a rural district of Kerala State, India. METHODS: A health survey was car...

Descripción completa

Detalles Bibliográficos
Autores principales: Haddad, Slim, Mohindra, Katia Sarla, Siekmans, Kendra, Màk, Geneviève, Narayana, Delampady
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441884/
https://www.ncbi.nlm.nih.gov/pubmed/22642770
http://dx.doi.org/10.1186/1471-2458-12-390
_version_ 1782243396502421504
author Haddad, Slim
Mohindra, Katia Sarla
Siekmans, Kendra
Màk, Geneviève
Narayana, Delampady
author_facet Haddad, Slim
Mohindra, Katia Sarla
Siekmans, Kendra
Màk, Geneviève
Narayana, Delampady
author_sort Haddad, Slim
collection PubMed
description BACKGROUND: The objective of this study is to investigate the magnitude and nature of health inequalities between indigenous (Scheduled Tribes) and non-indigenous populations, as well as between different indigenous groups, in a rural district of Kerala State, India. METHODS: A health survey was carried out in a rural community (N = 1660 men and women, 18–96 years). Age- and sex-standardised prevalence of underweight (BMI < 18.5 kg/m(2)), anaemia, goitre, suspected tuberculosis and hypertension was compared across forward castes, other backward classes and tribal populations. Multi-level weighted logistic regression models were used to estimate the predicted prevalence of morbidity for each age and social group. A Blinder-Oaxaca decomposition was used to further explore the health gap between tribes and non-tribes, and between subgroups of tribes. RESULTS: Social stratification remains a strong determinant of health in the progressive social policy environment of Kerala. The tribal groups are bearing a higher burden of underweight (46.1 vs. 24.3%), anaemia (9.9 vs. 3.5%) and goitre (8.5 vs. 3.6%) compared to non-tribes, but have similar levels of tuberculosis (21.4 vs. 20.4%) and hypertension (23.5 vs. 20.1%). Significant health inequalities also exist within tribal populations; the Paniya have higher levels of underweight (54.8 vs. 40.7%) and anaemia (17.2 vs. 5.7%) than other Scheduled Tribes. The social gradient in health is evident in each age group, with the exception of hypertension. The predicted prevalence of underweight is 31 and 13 percentage points higher for Paniya and other Scheduled Tribe members, respectively, compared to Forward Caste members 18–30 y (27.1%). Higher hypertension is only evident among Paniya adults 18–30 y (10 percentage points higher than Forward Caste adults of the same age group (5.4%)). The decomposition analysis shows that poverty and other determinants of health only explain 51% and 42% of the health gap between tribes and non-tribes for underweight and goitre, respectively. CONCLUSIONS: Policies and programmes designed to benefit the Scheduled Tribes need to promote their well-being in general but also target the specific needs of the most vulnerable indigenous groups. There is a need to enhance the capacity of the disadvantaged to equally take advantage of health opportunities.
format Online
Article
Text
id pubmed-3441884
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-34418842012-09-15 “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study Haddad, Slim Mohindra, Katia Sarla Siekmans, Kendra Màk, Geneviève Narayana, Delampady BMC Public Health Research Article BACKGROUND: The objective of this study is to investigate the magnitude and nature of health inequalities between indigenous (Scheduled Tribes) and non-indigenous populations, as well as between different indigenous groups, in a rural district of Kerala State, India. METHODS: A health survey was carried out in a rural community (N = 1660 men and women, 18–96 years). Age- and sex-standardised prevalence of underweight (BMI < 18.5 kg/m(2)), anaemia, goitre, suspected tuberculosis and hypertension was compared across forward castes, other backward classes and tribal populations. Multi-level weighted logistic regression models were used to estimate the predicted prevalence of morbidity for each age and social group. A Blinder-Oaxaca decomposition was used to further explore the health gap between tribes and non-tribes, and between subgroups of tribes. RESULTS: Social stratification remains a strong determinant of health in the progressive social policy environment of Kerala. The tribal groups are bearing a higher burden of underweight (46.1 vs. 24.3%), anaemia (9.9 vs. 3.5%) and goitre (8.5 vs. 3.6%) compared to non-tribes, but have similar levels of tuberculosis (21.4 vs. 20.4%) and hypertension (23.5 vs. 20.1%). Significant health inequalities also exist within tribal populations; the Paniya have higher levels of underweight (54.8 vs. 40.7%) and anaemia (17.2 vs. 5.7%) than other Scheduled Tribes. The social gradient in health is evident in each age group, with the exception of hypertension. The predicted prevalence of underweight is 31 and 13 percentage points higher for Paniya and other Scheduled Tribe members, respectively, compared to Forward Caste members 18–30 y (27.1%). Higher hypertension is only evident among Paniya adults 18–30 y (10 percentage points higher than Forward Caste adults of the same age group (5.4%)). The decomposition analysis shows that poverty and other determinants of health only explain 51% and 42% of the health gap between tribes and non-tribes for underweight and goitre, respectively. CONCLUSIONS: Policies and programmes designed to benefit the Scheduled Tribes need to promote their well-being in general but also target the specific needs of the most vulnerable indigenous groups. There is a need to enhance the capacity of the disadvantaged to equally take advantage of health opportunities. BioMed Central 2012-05-29 /pmc/articles/PMC3441884/ /pubmed/22642770 http://dx.doi.org/10.1186/1471-2458-12-390 Text en Copyright ©2012 Haddad et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Haddad, Slim
Mohindra, Katia Sarla
Siekmans, Kendra
Màk, Geneviève
Narayana, Delampady
“Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study
title “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study
title_full “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study
title_fullStr “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study
title_full_unstemmed “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study
title_short “Health divide” between indigenous and non-indigenous populations in Kerala, India: Population based study
title_sort “health divide” between indigenous and non-indigenous populations in kerala, india: population based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3441884/
https://www.ncbi.nlm.nih.gov/pubmed/22642770
http://dx.doi.org/10.1186/1471-2458-12-390
work_keys_str_mv AT haddadslim healthdividebetweenindigenousandnonindigenouspopulationsinkeralaindiapopulationbasedstudy
AT mohindrakatiasarla healthdividebetweenindigenousandnonindigenouspopulationsinkeralaindiapopulationbasedstudy
AT siekmanskendra healthdividebetweenindigenousandnonindigenouspopulationsinkeralaindiapopulationbasedstudy
AT makgenevieve healthdividebetweenindigenousandnonindigenouspopulationsinkeralaindiapopulationbasedstudy
AT narayanadelampady healthdividebetweenindigenousandnonindigenouspopulationsinkeralaindiapopulationbasedstudy