Interaction of physical activity on the association of obesity-related measures with multimorbidity among older adults: a population-based cross-sectional study in India

Srivastava, Shobhit; J, Vinod Joseph K; Dristhi, Drishti; Muhammad, T.

doi:10.1136/bmjopen-2021-050245

Cited by 60 publications

(64 citation statements)

References 71 publications

(70 reference statements)

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“…The outcome variable was categorized as binary, i.e., multimorbidity (no/yes) [40]. Multimorbidity is defined as the presence of two or more chronic diseases, such as hypertension, stroke, chronic heart disease, diabetes, neurological/psychiatric disease, cancer or malignant tumour, any bone/joint disease, any chronic lung disease, or high cholesterol [39].…”

Section: Outcome Descriptionmentioning

confidence: 99%

“…The diseases were self-reported, however, diagnosed [41] as was assessed through the question "Has any health professional ever diagnosed you with the following chronic conditions or diseases?" [40].…”

Section: Outcome Descriptionmentioning

confidence: 99%

“…Caste was categorized as Scheduled Tribe (ST), Scheduled Caste (SC), Other Backward Class (OBC), and others. As a result of their low caste status in Hindu society, the Scheduled Caste is a group of people who are socially isolated and financially/economically disadvantaged [40], [46]. The Scheduled Castes and Tribes of India are among the poorest socioeconomic groupings in the country [40], [46].…”

Section: Household Factorsmentioning

confidence: 99%

“…As a result of their low caste status in Hindu society, the Scheduled Caste is a group of people who are socially isolated and financially/economically disadvantaged [40], [46]. The Scheduled Castes and Tribes of India are among the poorest socioeconomic groupings in the country [40], [46]. The OBC is the group of people identified as "educationally, economically and socially backward [40], [46]."…”

Section: Household Factorsmentioning

confidence: 99%

“…The Scheduled Castes and Tribes of India are among the poorest socioeconomic groupings in the country [40], [46]. The OBC is the group of people identified as "educationally, economically and socially backward [40], [46]." The OBCs are considered lower castes in the traditional caste system [40], [46].…”

Section: Household Factorsmentioning

confidence: 99%

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Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

Chauhan

Srivastava

Kumar

et al. 2021

Preprint

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Background: Multimorbidity is defined as the co-occurrence of two or more than two diseases in the same person. With rising longevity, multimorbidity has become a prominent concern among the older population. Evidence from both developed and developing countries shows that older people are at much higher risk of multimorbidity, however, urban-rural differential remained scarce. Therefore, this study examines urban-rural differential in multimorbidity among older adults by decomposing the risk factors of multimorbidity and identifying the covariates that contributed to the change in multimorbidity.Methods: The study utilized information from 31,464 older adults (rural-20,725 and urban-10,739) aged 60 years and above from the recent release of the Longitudinal Ageing Study in India (LASI) wave 1 data. Descriptive, bivariate, and multivariate decomposition analysis techniques were used.Results: Overall, significant urban-rural differences were found in the prevalence of multimorbidity among older adults (difference: 16.3; p<0.001). Moreover, obese/overweight and high-risk waist circumference were found to narrow the difference in the prevalence of multimorbidity among older adults between urban and rural areas by 8% and 9.1%, respectively.Conclusion: There is a need to substantially increase the public sector investment in healthcare to address the multimorbidity among older adults, more so in urban areas, without compromising the needs of older adults in rural areas.

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Section: Outcome Descriptionmentioning

confidence: 99%

Section: Outcome Descriptionmentioning

confidence: 99%

Section: Household Factorsmentioning

confidence: 99%

Section: Household Factorsmentioning

confidence: 99%

Section: Household Factorsmentioning

confidence: 99%

See 3 more Smart Citations

Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

Chauhan

Srivastava

Kumar

et al. 2021

Preprint

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Prevalence and correlates of pain and associated depression among community‐dwelling older adults: Cross‐sectional findings from LASI, 2017–2018

Muhammad

Rashid²

2021

Depression and Anxiety

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Background Health practitioners often meet older persons suffering both from pain and depression. The study aimed to examine the factors associated with pain among older individuals and its association with major depression. In addition, the interaction between self‐rated health (SRH), wealth status, and pain that is associated with depression are explored. Methods We used data from the Longitudinal Aging Study in India (LASI). Participants included 15,098 male and 16,366 female adults aged 60 years or older. Univariate and bivariate analyses along with χ2 tests were conducted in the initial stage. Binary logistic regression analyses were performed to fulfill the objectives. Major depression was calculated using Short Form Composite International Diagnostic Interview. Results A proportion of 39.6% older individuals (n = 12,686) reported pain and 8.7% older adults (n = 2657) suffered from depression. Older adults who suffered from pain frequently were more likely to be depressed than those who never suffered from pain (adjusted odds ratio [AOR]: 1.70; confidence interval [CI]: 1.38–2.09). The interaction of pain, SRH, and household wealth status on depression found that older adults with pain who reported poor SRH (AOR: 4.18; CI: 3.50–5.00) or belonged to rich households (AOR: 2.27; CI: 1.84–2.80) had higher odds of suffering from depression, compared to older adults with no pain and good SRH or no pain and belonged to poor households. Conclusion It is highlighted that pain is quite common in older people, and is linked to depression especially among older people with poor SRH. Thus, routine evaluation of pain and associated symptoms of mental illnesses should be performed for ensuring healthy aging.

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Migration of adult male children and associated depression among community‐dwelling older parents: A cross‐sectional gender analysis from Longitudinal Ageing Study in India, 2017–2018

Muhammad

Sulaiman

Srivastava

2022

Int J Geriat Psychiatry

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Objectives This study empirically examines the association of migration of an adult male child (ren) on the mental health of the older parents left behind. It also examines the interaction effects of sex of older parents and male child migration on major depression to explore whether there is a gender differential in the possible association. Methods The data for this study were obtained from the first wave of the Longitudinal Ageing Study in India (LASI, 2017–2018). The total sample size for the present study was 27,248 older adults aged 60 years and above (male‐12,624; female‐14,624). Descriptive statistics along with cross‐tabulation were presented. Proportion test was used to evaluate the significance level of differences in depression by sex. Additionally, binary logistic regression analysis was used to find out the associations. Major depression with symptoms of dysphoria, was calculated using the Short‐Form Composite International Diagnostic Interview (CIDI‐SF). Results About 10.5% and 9.0% of older males and females had migrant sons. It was found that there was significant gender differential in depression in older age (male: 7.5% and female: 9.7%; p < 0.001). It was further found that the prevalence of depression was found among older men (9.3% vs. 7.3%) and women (12.5% vs. 9.4%) with migrant son. Older adults with migrant son had 26% significantly higher likelihood to be depressed in reference to older adults with non‐migrant son (AOR: 1.26; CI: 1.02–1.56). Further, older women with a migrant son had 76% significantly higher likelihood to be depressed in reference to older men with migrant son (AOR: 1.76; CI: 1.32–2.39). Conclusions This study invites policymakers' attention towards migration of adult children and its potential effects on mental health of left‐behind older parents in community‐settings and in women in particular. Policies should focus on spreading awareness to migrant children of older adults on maintaining frequent contacts and visits to their ageing parents.

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Interaction of physical activity on the association of obesity-related measures with multimorbidity among older adults: a population-based cross-sectional study in India

Cited by 60 publications

References 71 publications

Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

Decomposing Urban-rural Differences in Multimorbidity Among Older Adults in India: A Study Based on Lasi Data

Prevalence and correlates of pain and associated depression among community‐dwelling older adults: Cross‐sectional findings from LASI, 2017–2018

Migration of adult male children and associated depression among community‐dwelling older parents: A cross‐sectional gender analysis from Longitudinal Ageing Study in India, 2017–2018

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