Household use of polluting cooking fuels and late-life cognitive function: A harmonized analysis of India, Mexico, and China

Sáenz, Joseph; Adar, Sara D.; Zhang, Yuan S; Wilkens, Jenny; Chattopadhyay, Aparajita; Lee, Jinkook; Wong, Rebeca

doi:10.1016/j.envint.2021.106722

Cited by 45 publications

(28 citation statements)

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“…3. High cognitive ability: Cognitive function in the LASI survey was measured through five broad domains (memory, orientation, arithmetic function, executive function and object naming) adapted from the Mini-Mental State Examination (MMSE) 43 , and the cognitive module of the United States Health and Retirement Study (HRS) and its sister studies such as the China Health and Retirement Longitudinal Study (CHARLS), and the Mexican Health and Aging Study (MHAS) 44 , 45 . Memory was measured using immediate word recall and delayed word recall.…”

Section: Methodsmentioning

confidence: 99%

“…The arithmetic function was measured through backward counting, a serial seven subtraction task and a task involving two computations 39 , 44 . Paper folding (folding a piece of paper according to instructions), pentagon drawing (drawing intersecting circles) and object naming methods were also followed to measure the cognitive functions among older adults 45 . A composite score of 0–43 was computed using the domain wise measures.…”

Section: Methodsmentioning

confidence: 99%

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Decomposing rural–urban differences in successful aging among older Indian adults

Muhammad

Srivastava

Hossain

et al. 2022

Sci Rep

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The modernization and shift towards urbanized lifestyles have triggered several diseases, and the context of aging varies in urban and rural settings in India. The study aimed to investigate the urban–rural differences in successful ageing among older adults in India and the contributing factors in those differences. The study utilizes data from nationally representative Longitudinal Ageing Study in India (LASI, 2017–18). The analytical sample size for the study was 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis were carried out to present the initial results. Multivariable logistic regression and decomposition analysis was used to find the associations between explanatory variables and successful aging and to identify the contributions of covariates that explain the rural–urban differences in successful ageing. A proportion of 32% and 24% of older adults from rural and urban areas were successful agers with an urban disadvantage. Urban-dwelling older adults had 0.67 times [95% confidence interval (CI): (0.64, 0.71)] lower unadjusted odds of successful ageing than rural older adults. Again, after adjusting for the effect of other explanatory variables, urban older adults had 0.92 times [CI: (0.87, 0.98)] lower odds of being successful agers than their rural counterparts. The major contributors to the rural–urban inequality in successful aging were differences in regional distribution (17% contribution), waist circumference (16%), working status (16%), body mass index (13%) and physical activity (8%) among rural and urban older adults. The urban disadvantage in aging successfully may reflect the higher prevalence of adverse lifestyle behaviours in urban dwellers and under-diagnosis and under-reporting of many diseases in rural areas, particularly non-communicable diseases, suggesting the need for further investigation.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Decomposing rural–urban differences in successful aging among older Indian adults

Muhammad

Srivastava

Hossain

et al. 2022

Sci Rep

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“…The LASI collected the information related to different cognition measures in several dimensions including memory, orientation, arithmetic functioning, and visuospatial and constructional ability. The survey adapted these measures from the Mini-Mental State Examination (MMSE) 37 , and the cognitive module of the China Health and Retirement Longitudinal Study (CHARLS), and the Mexican Health and Aging Study (MHAS) 38 , 39 . Thus, the cognitive functions in the current study are based on the scoring of the following cognitive sub-domains: immediate word recall (0–10 points), and delayed word recall (0–10 points); orientation related to time (0–4 points), and place (0–4 points); arithmetic ability based on serial 7 s’ subtraction task (0–5 points), a task involving two computations (0–2) and backward counting from 20 (0–2 points) 38 ; visuospatial and constructional skills based on paper folding (folding a piece of paper according to instructions) (0–3) and pentagon drawing (drawing intersecting circles) (0–1); and object naming (0–2) 39 .…”

Section: Methodsmentioning

confidence: 99%

The role of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment among older Indian adults

Muhammad

2022

Sci Rep

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Due to different nature of social engagements of older adults in South Asian countries specially attributed to the traditional family-based care and support, beneficial effects of religiosity and religious involvement on mental health and cognitive function in older age might be different than those in the Western world. Yet, there is a paucity of research in these countries on the role of religion in moderating the relationship between late life depression and cognition. This study explored the association of depressive symptoms with cognitive impairment and the moderating effects of religiosity and religious participation in those associations among older Indian adults. A cross-sectional study was conducted on data that were drawn from the Longitudinal Ageing Study in India wave-1, collected during 2017–2018. The sample size comprised of 31,464 older adults aged 60 years and above. Shortened 10-item Centre for Epidemiologic Studies Depression Scale was used to measure depressive symptoms. Items from the Mini-Mental State Examination and the cognitive module of the China Health and Retirement Longitudinal Study and the Mexican Health and Aging Study were adapted for measuring cognitive impairment. Moderated multiple linear regression models were used to test the research hypotheses of the study. The proportion of older adults who reported religion as less important to them was 21.24%, whereas, only 19.31% of the respondents participated in religious activities. The mean score of cognitive impairment (on a scale of 0–43) in the current sample was 19.43 [confidence interval (CI): 19.32–19.53] among men and 23.55 [CI: 23.44–23.66] among women. Older adults with depressive symptoms had significantly higher likelihood of cognitive impairment [aCoef: 0.18, CI: 0.16–0.20] in comparison to older adults with no depressive symptoms. Older individuals who were religious were significantly less likely to have cognitive impairment [aCoef: − 0.43, CI: − 0.61 to − 0.25] than their non-religious counterparts. Compared to older adults who did not participate in religious activities, those who participated in religious activities were less likely [aCoef: − 0.52, CI: − 0.69 to − 0.34] to have cognitive impairment. Further, significant moderating effects of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment were observed. The current study contributes to advancing knowledge about the mental health benefits of religiosity and religious participation by focusing on older adults in India who culturally have limited chances to participate in social activities. The findings suggest that older adults with depressive symptoms may participate in religious activities which may reduce their chances of cognitive impairment. This protective effect of religiosity and religious participation on late life cognitive health has important implications for promoting alternative social support mechanisms for older adults in terms of enhancing their mental wellbeing and contributing to active aging.

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“…These factors are also largely influenced by differential exposure (e.g., by nativity status and country of origin) to myriad social, economic, political, behavioral, and environmental determinants of brain health. Furthermore, the differences we continue to observe among nativity and country of origin Latino subgroups, and in comparison to U.S.-born non-Latino Whites, may reflect differential environmental exposures given the growing evidence that urban air pollution and indoor air pollution (i.e., combustion of solid cooking fuels in low- and middle-income countries) affect cognitive health ( Ailshire & Clarke, 2015 ; Ailshire & Crimmins, 2014 ; Kulick et al, 2020 ; Saenz, 2021 ; Saenz et al, 2018 , 2021 ). Future research should aim to further investigate differences in such exposure across groups by, for example, matching respondents on urbanicity to account for factors associated with cognition not captured in this study.…”

Section: Discussionmentioning

confidence: 91%

Age Patterns in Self-Reported Cognitive Impairment Among Older Latino Subgroups and Non-Latino Whites in the United States, 1997–2018: Implications for Public Health Policy

García¹,

Warner

García

et al. 2021

Innovation in Aging

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Background and objectives U.S. Latinos are a heterogeneous population with unique characteristics related to individual-level socioeconomic and contextual factors based on nativity status and country of origin. Population aging and greater public awareness of dementia may contribute to an increasing prevalence of self-reported cognitive impairment. However, population-level trends in self-reported cognitive impairment among Latinos are unclear and it is unknown whether there are differences among Latino subgroups. Thus, this study aims to examine heterogeneity in self-reported cognitive impairment among older U.S. Latino subgroups. Research design and methods We used data from the 1997-2018 National Health Interview Survey to document age-specific patterns in self-reported cognitive impairment among U.S.-born Mexican, foreign-born Mexican, island-born Puerto Rican, foreign-born Cuban, and U.S.-born non-Latino Whites aged 60 and older. We estimated hierarchical age period–cohort cross-classified random-effects (HAPC-CCREM) models to isolate age patterns in self-reported cognitive impairment across disaggregated Latino subgroups and U.S.-born non-Latino Whites. Results The overall prevalence of self-reported cognitive impairment increased from 6.0% in 1997 to 7.1% in 2018. This increase was evident among U.S.-born non-Latino Whites and U.S.-born and foreign-born Mexicans but not other Latino subgroups. Fully-adjusted HAPC-CCREM estimates indicated that Latinos were more likely to self-report cognitive impairment than U.S-born non-Latino Whites (b=0.371, p<0.001). When disaggregated by Latino subgroup, the difference in the likelihood for self-reported cognitive impairment compared to U.S.-born non-Latino Whites was greatest for island-born Puerto Ricans (b=0.598, p<0.001) and smallest for foreign-born Cubans (b=0.131, p>0.05). Discussion and implications We found evidence of considerable heterogeneity in the age-patterns of self-reported cognitive impairment among U.S. Latino subgroups. We also detected large differences in the likelihood for self-reported cognitive impairment between U.S. Latino subgroups compared to U.S.-born non-Latino Whites. These results underscore the importance of differentiating between unique Latino subpopulations when studying population-level trends in cognitive function.

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Household use of polluting cooking fuels and late-life cognitive function: A harmonized analysis of India, Mexico, and China

Cited by 45 publications

References 44 publications

Decomposing rural–urban differences in successful aging among older Indian adults

Decomposing rural–urban differences in successful aging among older Indian adults

The role of religiosity and religious participation in the relationship between depressive symptoms and cognitive impairment among older Indian adults

Age Patterns in Self-Reported Cognitive Impairment Among Older Latino Subgroups and Non-Latino Whites in the United States, 1997–2018: Implications for Public Health Policy

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