Relationship between neighbourhood cohesion and disability: findings from SWADES population-based survey, Kerala, India

Devassy, Saju Madavanakadu; Benny, Anuja Maria; Allagh, Komal Preet; Joseph, Binoy; Thiyagarajan, Jotheeswaran Amuthavalli

doi:10.12688/f1000research.25073.1

Cited by 7 publications

(8 citation statements)

References 23 publications

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“…Per capita income was an important predictor of self-reported disability. This is in line with a previous study where WHODAS 2.0 scores were higher for lowerincome participants 37 . Similar results were also found by Waterhouse et al (2017) 38 , which revealed that the poorest income quintile was associated with severe disability and the number of chronic diseases reported.…”

Section: Discussionsupporting

confidence: 93%

“…Age was also a factor associated with disability, so that having fewer years of life decreased the disability score when the multivariate regression model was analyzed, although this difference was not signi cant (p>0.05) in the bivariate analysis of the general sample These results diverged in most studies that assessed disability in the elderly 29,37,38 . However, a possible explanation is that in the primary health care setting, older individuals with more severe di culties sought the units by spontaneous demand less than those individuals who were younger with the same degrees of perceived di culty, which could suggest a worse access for elderly people with higher levels of disability.…”

Section: Discussionmentioning

confidence: 85%

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The disability profile of primary health care users may vary depending on the type of care and musculoskeletal pain characteristics

Ferreira

Góes

Casarotto

et al. 2021

Preprint

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Background: One of the biggest current challenges for Primary Health Care is dealing with the increased demand for chronic diseases that have resulted in greater disabilities in the population.Objective: To investigate the relationship between sociodemographic factors, musculoskeletal pain and its characteristics and the type of care in primary health care with self-reported disability.Methodology: This is a cross-sectional study, interviewing individuals selected from spontaneous demand for health care in two types of care, the health center and family health. Disability was investigated using the World Health Organization Disability Assessment Schedule (WHODAS) 2.0 and characteristics of intensity, frequency, duration, number of pain sites and regions. Measures of association between predictors and disability were performed with non-parametric statistical tests, and non-parametric regression models were presented for pain characteristics and for the general population.Results: 6.0% of the overall sample had severe level of disability, health center users had more self-reported disability than family health users (p<0.001). Fewer years of life (p=0.034) and lower per capita income quintile (p=0.014) were associated with greater disability. The most intense pain and in the greatest number of places increased the disability score by 1.8 (CI95%=1.0-2.6) and 6.3 (CI95%=0.1-12.2) points, respectively.Conclusion: Users who had more disabilities sought out spontaneous demand care units of the health center type, had lower per capita income, presented musculoskeletal pain of worse intensity and in a greater number of places.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 85%

The disability profile of primary health care users may vary depending on the type of care and musculoskeletal pain characteristics

Ferreira

Góes

Casarotto

et al. 2021

Preprint

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“…Second to family dependent networks, belonging to a locally integrated network, characterised by social cohesion has the potential to protect people from anxiety or depression. The components of social cohesion: trust, safety and participation [ 34 ] can modulate anxiety and depression in the people who share the collectivist value system [ 35 ]. Kerala State’s social welfare system has heavily invested in locally integrated networks, introducing a participatory bottom-up people’s planning approach [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study

Devassy

Scaria

Cheguvera

et al. 2021

IJERPH

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Social networks protect individuals from mental health conditions of depression and anxiety. The association between each social network type and its mental health implications in the Indian population remains unclear. The study aims to determine the association of depression and anxiety with different social network types in the participants of a community cohort. We conducted a cross-sectional household survey among people aged ≥30 years in geographically defined catchment areas of Kerala, India. We used cross-culturally validated assessment tools to measure depression, anxiety and social networks. An educated male belonging to higher income quartiles, without any disability, within a family dependent network has lower odds of depression and anxiety. Furthermore, 28, 26.8, 25.7, 9.8 and 9.7% of participants belonged to private restricted, locally integrated, wider community-focused, family-dependent and locally self-contained networks, respectively. Close ties with family, neighbours, and community had significantly lower odds of anxiety and depression than private restricted networks. The clustering of people to each social network type and its associated mental health conditions can inform social network-based public health interventions to optimize positive health outcomes in the community cohort.

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“…Community cohesion is also an important protective factor for preventing posttraumatic stress disorder symptoms when older adults experience negative events and disasters [21]. Clinical and epidemiological studies have found a lack of community cohesion to be associated with disability, hypertension, myocardial infarction, stroke, and mortality [22][23][24][25]. Empirical studies have confirmed that low levels of community cohesion can accelerate epigenetic aging, and high levels of community cohesion can reduce the risks of diseases associated with genetic risk factors [26,27].…”

Section: The Importance Of Community Cohesionmentioning

confidence: 99%

The Role of Community Cohesion in Older Adults During the COVID-19 Epidemic: Cross-sectional Study

Li¹,

Ding²,

Aierken³

et al. 2023

JMIR Public Health Surveill

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Background The community environment plays a vital role in the health of older adults. During the COVID-19 epidemic, older adults, who were considered the most impacted and most vulnerable social group, were confined to their homes during the implementation of management and control measures for the epidemic. In such situations, older adults may have to contend with a lack of resources and experience anxiety. Therefore, identifying the environmental factors that are beneficial for their physical and mental health is critical. Objective This study aimed to assess the association between community cohesion and the physical and mental health of older adults and to identify the related community services and environmental factors that may promote community cohesion. Methods This community-based cross-sectional study was designed during the COVID-19 epidemic. A multistage sampling method was applied to this study. A total of 2036 participants aged ≥60 years were sampled from 27 locations in China. Data were collected through face-to-face interviews. The neighborhood cohesion instrument consisting of scales on 3 dimensions was used to assess community cohesion. Self-efficacy and life satisfaction, cognitive function and depression, and community services and environmental factors were also measured using standard instruments. Statistical analyses were restricted to 99.07% (2017/2036) of the participants. Separate logistic regression analysis was conducted to assess the association among community cohesion and physical and mental health factors, related community services, and environmental factors among older adults. Results The results showed that high levels of community cohesion were associated with good self-perceived health status and life satisfaction (odds ratio [OR] 1.27, 95% CI 1.01-1.59 and OR 1.20, 95% CI 1.15-1.27, respectively) and high levels of self-efficacy and psychological resilience (OR 1.09, 95% CI 1.05-1.13 and OR 1.05, 95% CI 1.03-1.06, respectively). The length of stay in the community and the level of physical activity were positively associated with community cohesion scores, whereas the education level was negatively associated with community cohesion scores (P=.009). Community cohesion was also associated with low levels of depression and high levels of cognitive function. Community cohesion was significantly associated with community services and environmental factors on 4 dimensions. High levels of community cohesion were associated with transportation services and rehabilitation equipment rental services as well as high levels of satisfaction with community physicians’ technical expertise and community waste disposal (OR 3.14, 95% CI 1.87-5.28; OR 3.62, 95% CI 2.38-5.52; OR 1.37, 95% CI 1.08-1.73; and OR 1.23, 95% CI 1.01-1.50, respectively). Conclusions Community cohesion was found to be associated with the physical and mental health of older adults. Our research suggests that enhancing community services and environmental resources may be an effective strategy to increase community cohesion during major infectious disease epidemics.

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Relationship between neighbourhood cohesion and disability: findings from SWADES population-based survey, Kerala, India

Cited by 7 publications

References 23 publications

The disability profile of primary health care users may vary depending on the type of care and musculoskeletal pain characteristics

The disability profile of primary health care users may vary depending on the type of care and musculoskeletal pain characteristics

Association of Depression and Anxiety with Social Network Types: Results from a Community Cohort Study

The Role of Community Cohesion in Older Adults During the COVID-19 Epidemic: Cross-sectional Study

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