Skip to main content
Top
Published in: BMC Geriatrics 1/2021

Open Access 01-12-2021 | Research

Distinguishing between household headship with and without power and its association with subjective well-being among older adults: an analytical cross-sectional study in India

Authors: Shobhit Srivastava, S. K. Singh, Manish Kumar, T. Muhammad

Published in: BMC Geriatrics | Issue 1/2021

Login to get access

Abstract

Background

The status of household headship accorded to the older members of the family is often symbolic and seldom vested with some control over resources. The increased dependency and diminished ability to contribute to household economy are major factors that lead to a decline in the respect accorded to older people and their status in the family. The present study aimed to understand the distinction between the functional and nominal household headship status of older adults based on their decision-making power and examine how it is associated with their subjective well-being.

Method

The present research used data from the 'Building a Knowledge Base on Population Aging in India' (BKPAI) which is nationally representative. The survey was conducted in 2011, across seven states of India. Descriptive statistics along with percentage distribution were calculated for subjective well-being over explanatory variables. For finding the association between subjective well-being over explanatory variables, binary logistic regression model was used.

Results

The mean age of the study population was 68 years [CI: 67.8–68.2]. About 5 % of older adults had nominal while 95% had functional headship status. The prevalence of low subjective well-being (LSWB) was significantly higher among older adults with nominal headship status (58%) than functional headship status (23%). After controlling for several other variables, older adults with nominal headship status were 59% significantly more likely to have low subjective well-being than individuals with functional headship status (OR = 1.59; 95% CI: 1.10, 2.31). Further, older adults with psychological distress, chronic morbidity, poor self-reported health, no community involvement and no one to trust on were at higher risk of LSWB than their counterparts.

Conclusions

Findings suggest that older adults who do not have a household headship with power with active participation in household decision-making as well as those who have no involvement in social activities or have poor health conditions need to be given more attention. Thus, to keep a large proportion of older population gainfully engaged, their care and support should be ensured via providing appropriate services that would enhance their roles and responsibilities and overall wellbeing.
Literature
6.
go back to reference Bansod DW. Status, decision-making role and expectations of older persons in rural Maharashtra, India. Asia-Pacific Popul J. 2011;26:3–19.CrossRef Bansod DW. Status, decision-making role and expectations of older persons in rural Maharashtra, India. Asia-Pacific Popul J. 2011;26:3–19.CrossRef
7.
go back to reference Ladusingh L, Narayana MR. The role of familial transfers in supporting the lifecycle deficit in India. In: Population Aging and the Generational Economy; 2011. Ladusingh L, Narayana MR. The role of familial transfers in supporting the lifecycle deficit in India. In: Population Aging and the Generational Economy; 2011.
9.
go back to reference Vera-sanso P. They Don’t need it, and I Can’t give it: filial support in South India. Age Child Eur Asian Perspect. 2004:77–105. Vera-sanso P. They Don’t need it, and I Can’t give it: filial support in South India. Age Child Eur Asian Perspect. 2004:77–105.
10.
11.
go back to reference Duraisamy P. Morbidity in Tamil Levels, Differentials and Determinants. Econ Polit Weekely. 1998;33:982–90. Duraisamy P. Morbidity in Tamil Levels, Differentials and Determinants. Econ Polit Weekely. 1998;33:982–90.
12.
go back to reference Gupta I, Dasgupta P, Sawhney M. Health of the Elderly in India Some Aspects of Vulnerability; 2001. p. 1–23. Gupta I, Dasgupta P, Sawhney M. Health of the Elderly in India Some Aspects of Vulnerability; 2001. p. 1–23.
19.
go back to reference Vera-Sanso P. Experiences in old age: a south Indian example of how functional age is socially structured. Oxford Dev Stud. 2006;34:246–9.CrossRef Vera-Sanso P. Experiences in old age: a south Indian example of how functional age is socially structured. Oxford Dev Stud. 2006;34:246–9.CrossRef
23.
go back to reference United Nations, Department of Economic and Social Affairs, Population Division. World population prospects 2019: ten key findings. 2019. United Nations, Department of Economic and Social Affairs, Population Division. World population prospects 2019: ten key findings. 2019.
24.
go back to reference UNFPA. Report on the Status of Elderly in Select States of India; 2011. p. 2011. UNFPA. Report on the Status of Elderly in Select States of India; 2011. p. 2011.
27.
go back to reference Patel R, Marbaniang SP, Srivastava S, et al. Gender differential in low psychological health and low subjective well-being among older adults in India: With special focus on childless older adults; 2021. p. 1–16. Patel R, Marbaniang SP, Srivastava S, et al. Gender differential in low psychological health and low subjective well-being among older adults in India: With special focus on childless older adults; 2021. p. 1–16.
30.
go back to reference Srivastava, S., Kumar, S. Does socio-economic inequality exist in micro-nutrients supplementation among children aged 6–59 months in India? Evidence from National Family Health Survey 2005–06 and 2015–16. BMC Public Health. 2021;21:545. https://doi.org/10.1186/s12889-021-10601-6. Srivastava, S., Kumar, S. Does socio-economic inequality exist in micro-nutrients supplementation among children aged 6–59 months in India? Evidence from National Family Health Survey 2005–06 and 2015–16. BMC Public Health. 2021;21:545. https://​doi.​org/​10.​1186/​s12889-021-10601-6.
31.
go back to reference Mchugh ML. The chi-square test of independence lessons in biostatistics. Biochem Medica. Mchugh ML. The chi-square test of independence lessons in biostatistics. Biochem Medica.
33.
go back to reference StataCorp. Stata: Release 14. Statistical Software. 2015. StataCorp. Stata: Release 14. Statistical Software. 2015.
35.
go back to reference Hansen T, Slagsvold B. The age and subjective well-being paradox revisited: a multidimensional perspective. Nor Epidemiol. 2012;22:187–95. Hansen T, Slagsvold B. The age and subjective well-being paradox revisited: a multidimensional perspective. Nor Epidemiol. 2012;22:187–95.
38.
go back to reference Muhammad T, Balachandran A, Srivastava S. Socio-economic and health determinants of preference for separate living among older adults: a cross-sectional study in India. PLoS One. 2021;16:1–14. Muhammad T, Balachandran A, Srivastava S. Socio-economic and health determinants of preference for separate living among older adults: a cross-sectional study in India. PLoS One. 2021;16:1–14.
42.
go back to reference Irudaya RS, Mishra US, Sarma PS. Health concerns among India’s elderly. Int J Aging Hum Dev. 2001;53:181–94.CrossRef Irudaya RS, Mishra US, Sarma PS. Health concerns among India’s elderly. Int J Aging Hum Dev. 2001;53:181–94.CrossRef
44.
go back to reference He W, Muenchrath MN, Kowal PR. Shades of gray: a cross-country study of health and well-being of the older populations in SAGE countries, 2007-2010. US Census Bur. 2012:2007–10. He W, Muenchrath MN, Kowal PR. Shades of gray: a cross-country study of health and well-being of the older populations in SAGE countries, 2007-2010. US Census Bur. 2012:2007–10.
47.
go back to reference Srivastava S, Purkayastha N, Chaurasia H, et al. Socioeconomic inequality in psychological distress among older adults in India : a decomposition analysis. BMC Psychiatry. 2021;21:1–15.CrossRef Srivastava S, Purkayastha N, Chaurasia H, et al. Socioeconomic inequality in psychological distress among older adults in India : a decomposition analysis. BMC Psychiatry. 2021;21:1–15.CrossRef
50.
go back to reference Diener E, Biswas-Diener R. Will money increase subjective well-being? Soc Indic Res. 2002;57:509–16.CrossRef Diener E, Biswas-Diener R. Will money increase subjective well-being? Soc Indic Res. 2002;57:509–16.CrossRef
51.
go back to reference Zhou Y, Zhou L, Fu C, et al. Socio-economic factors related with the subjective well-being of the rural elderly people living independently in China. Int J Equity Health. 2015;14:1–9.CrossRef Zhou Y, Zhou L, Fu C, et al. Socio-economic factors related with the subjective well-being of the rural elderly people living independently in China. Int J Equity Health. 2015;14:1–9.CrossRef
Metadata
Title
Distinguishing between household headship with and without power and its association with subjective well-being among older adults: an analytical cross-sectional study in India
Authors
Shobhit Srivastava
S. K. Singh
Manish Kumar
T. Muhammad
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2021
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-021-02256-0

Other articles of this Issue 1/2021

BMC Geriatrics 1/2021 Go to the issue