Why Rotational Living Is Bad for Older Adults? Evidence from a Cross-Sectional Study in India

Muhammad, T.; Srivastava, Shobhit

doi:10.1007/s12062-020-09312-4

Cited by 43 publications

(39 citation statements)

References 36 publications

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“…However, the finding is contrary to, a study that found that older adults who receive pension had reported better social status, independence and better quality of life [ 45 ]. Also, previous studies have shown that poor older adults had higher chances of losing power and headship since they are considered as no more capable of contributing to the household economy and becoming a burden on other family members [ 43 , 46 , 47 ]. Nonetheless, our study found that older adults coming from a household below the poverty line (BPL) had higher odds of losing their headship.…”

Section: Discussionmentioning

confidence: 99%

Association of family structure with gain and loss of household headship among older adults in India: Analysis of panel data

et al. 2021

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Background Despite huge changes in demographic behaviors, the family continues to be the major source of psychosocial support for older adults in India. The loss of household headship can be a cause of disregard for the aged and is associated in a very fundamental way with other status losses. Our study used the two rounds of the India Human Development Survey to understand the association of family structure on the gain or loss status of household headship among 10,527 older adults. Method Bivariate analysis was done using the chi-square test for association. Equivalently, the multivariate analysis involved estimating multivariable logistic regression models. Multicollinearity did not affect the estimates from the regression models. For examining headship transition, we performed two complete sets of analysis, by taking gain in headship and loss in headship as the outcome variable respectively. Results Across two rounds, a major shift in family structure was noticed as 6.8% of households moved from extended to a single generation. Results indicate that family structure was significantly associated with gaining and losing headship among older adults. Headship loss was more common among nuclear [OR: 2.16; CI: 1.28, 3.65] and extended [OR: 2.76; CI: 1.64, 4.66] family structures. Moreover, gaining headship was found to be significantly associated with married, educated, and working older adults. Conclusion Since living in single generation household may preferably be encouraged among older adults than their living in a complex household without headship and value they deserve, the public intervention may support the independent living within the older population through housing policies that create additional choices presented to older adults making residential decisions.

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Section: Discussionmentioning

confidence: 99%

Association of family structure with gain and loss of household headship among older adults in India: Analysis of panel data

et al. 2021

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“…Self-rated health (SRH) was categorized as (very good “very good/excellent”, good “good” and poor “fair/poor”) [ 31 ]. Ability to do activities of daily living (ADL) was having a scale of 0 to 6 wherein it represents higher the score higher the independence [ 32 ]. A score was categorized as 0, which represents full independence, and five and less were categorized as 1, which represents not fully independent to do activities of daily living (Cronbach alpha: 0.89) [ 33 – 35 ].…”

Section: Methodsmentioning

confidence: 99%

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

2021

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Introduction The living arrangements among the older population form a basic pointer to the care and support of older adults in India, and living with extended kin is clearly differentiated from living separately. This paper attempts to understand the associations between socio-economic and health-related variables with preference for the separate living among older adults in India. Materials and methods Using data from Building Knowledge Base on Population Ageing in India (BKPAI), we employed bivariate and probit regressions on a sample of 9540 older adults to fulfil the study objective. Results Nearly 21% of older adults were living alone/with a spouse. Additionally, those older adults who lived alone/with spouse had specific reasons, i.e. about 14.6% reported that they had no children, 47.3% of older adults had their children away and 15.9% of older adults reported a family conflict. Availability of children is consistently found to be negatively associated with the preference of separate living. Besides, better self-rated health, independence in daily activities, and facing any type of violence were the strongest predictors of preference for separate living. In addition, the background characteristics, including age, sex, education, religion, and ethnicity, were found as significant predictors of living arrangement preference. Preference for co-residential arrangements emerges among older persons who have a feeling of importance within their family. Conclusion Physical proximity to kin and health conditions, in addition to economic conditions, substantially determine the swing towards separate living among older adults in India. This suggests that attention has to be paid to the demand for specialized care and health services among older adults living separately.

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“…Ability to do activities of daily living had a scale of 0 to 6 where it represents higher the score, higher the independence. A score of was recoded as 0 "high" which represents complete independence and 5 and less was recoded as 1 "low" which represents not completely independent to do activities of daily living (Cronbach Alpha: 0.93) [48]. Ability to do instrumental activities of daily living had a scale of 0 to 8 representing higher the score, higher the independence.…”

Section: Explanatory Variablementioning

confidence: 99%

Relationship between chewing tobacco, smoking, consuming alcohol and cognitive impairment among older adults in India: a cross‐sectional study

2021

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Background Physical aging increases the sensitivity to the effects of substance use, elevating the risk for cognitive impairment among older adults. Since studies on the association of substance use with cognitive ability in later years are scant in India, we aimed to explore the factors associated with cognitive impairment especially, alcohol consumption, smoking, and chewing tobacco later in life. Methods The present research used nationally representative data from Building a Knowledge Base on Population Aging in India (BKPAI) that was conducted in 2011, across seven states of India (N=9,453). Sample distribution along with percentage distribution was calculated for cognitive impairment over explanatory variables. For finding the association between cognitive impairment over explanatory variables, binary logistic regression models were estimated. Results About 16.5 percent of older adults in rural areas consumed smoked tobacco compared to 11.7 percent in urban areas. Nearly, 23.7 percent of rural older adults consumed smokeless tobacco in comparison to 16 percent in urban areas. Alcohol consumption was high among rural residents (7.9%) than urban counterparts (6.7%). The prevalence of cognitive impairment was 62.8% and 58% among older adults from rural and urban areas respectively. Older adults who smoked tobacco had a 24 percent significantly higher likelihood to have cognitive impairment with reference to older adults who did not smoke [OR: 1.24, CI: 1.02-1.49]. Moreover, older adults who consumed alcohol had a 30 percent significantly higher likelihood to have cognitive impairment [OR: 1.02, 1.65]. It was also found that older adults who had smoked along with consuming alcohol were at risk of worse cognitive outcomes than those who neither smoke nor drink alcohol [OR: 1.56, CI: 1.21-2.00] or consumed either of them unlike consuming smokeless tobacco only. Conclusion The encouragement of older people to stop smoking and smokeless tobacco use could be considered as part of a strategy to reduce the incidence of cognitive impairment. Further, appropriate measures should be taken for the detection of early stages of cognitive decline in older individuals and efforts should be made to improve the availability and quality of care for dementing older adults.

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Why Rotational Living Is Bad for Older Adults? Evidence from a Cross-Sectional Study in India

Cited by 43 publications

References 36 publications

Association of family structure with gain and loss of household headship among older adults in India: Analysis of panel data

Association of family structure with gain and loss of household headship among older adults in India: Analysis of panel data

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

Relationship between chewing tobacco, smoking, consuming alcohol and cognitive impairment among older adults in India: a cross‐sectional study

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