Frailty syndrome and sarcopenia among rural older adults in West Bengal, India: a cross-sectional study

To investigate the prevalence and risk factors for pterygium in rural older adults in Shandong Province, eastern China, a population-based, cross-sectional study was performed from April to July 2008. By means of cluster random sampling methods, a total of 19,583 people aged 50 years or above were randomly selected from four rural counties. Out of 19,583 people, 1,767 residents were excluded mainly because they were migrant workers when this study was performed. Finally, 17,816 (90.98%) people were included as eligible subjects. They received a comprehensive eye examination and a structured questionnaire voluntarily. Patients with pterygium were defined as having pterygium at the time of survey or pterygium surgery had been performed. 1,876 people were diagnosed as pterygium, either unilateral (1,083) or bilateral (793), which is equivalent to a prevalence of 10.53% (95% CI, 10.08–10.98). The multivariate logistic regression analysis showed that pterygium was independently associated with older age, areas, outdoor time, educational level, and use of hat and/or sunglasses. The prevalence of pterygium increased with age and hours spent under sunshine per day. Meanwhile, the higher the educational level and the more use of hat and/or sunglasses, the lower the pterygium prevalence.

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Do older people with cardiovascular-metabolic multimorbidity prefer to sign contracts for family doctor services? Evidence from a cross-sectional study in rural Shandong, China

BMC Geriatrics ◽

10.1186/s12877-021-02543-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Shijun Yang ◽

Jie Li ◽

Peipei Fu ◽

Yan Chen ◽

Yi Wang ◽

...

Keyword(s):

Older Adults ◽

Older People ◽

Family Doctor ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Analysis ◽

The Status ◽

The Government ◽

Rural Older Adults

Abstract Background Family doctor policy is an important part of deepening healthcare reform in China. The study aimed to explore the association between cardiovascular-metabolic multimorbidity and the status of signing a contract for family doctor services among the older people in rural Shandong, China. Methods A cross-sectional study was conducted in 3 cities of Shandong province, China. A total of 1395 rural residents over 60 years of age were included in this study using a multistage stratified random sampling method. Covariates included demographic and socioeconomic characteristics, health-related characteristics, health service utilization, and awareness of family doctor contract services. The univariate and multivariate regression logistic analysis was used to analyze the data. Results There were 28.2% of the rural older people contracted for the family doctor contract services. The contract rate of seniors with cardiovascular-metabolic multimorbidity was statistically higher than those without cardiovascular-metabolic multimorbidity (OR = 1.67, 95%CI, 1.21-2.32) after controlling for confounding factors. In addition, occupation, physical activities, self-rated health status, distance from the village clinic, the awareness of family doctor contract services were found to be associated with the signing behavior among the rural older adults. Conclusion This study demonstrated that the rural older people with cardiovascular-metabolic multimorbidity had a higher family doctor contract rate than those without cardiovascular-metabolic multimorbidity, and there was a gap between the current signing rate and the policy goal. To increase the rate of signing for family doctor contract services, the government should take joint efforts to expand the publicity and coverage, and give priority to meeting the healthcare demands of rural older adults with cardiovascular-metabolic multimorbidity.

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Association between frailty syndrome and sedentary behavior among community-dwelling older adults in the Amazon region: a cross-sectional study

Sao Paulo Medical Journal ◽

10.1590/1516-3180.2020.0546.r1.14122020 ◽

2021 ◽

Author(s):

Izabelle Santos dos Santos ◽

Caroline de Fátima Ribeiro Silva ◽

Daniela Gonçalves Ohara ◽

Areolino Pena Matos ◽

Ana Carolina Pereira Nunes Pinto ◽

...

Keyword(s):

Older Adults ◽

Sedentary Behavior ◽

Cross Sectional Study ◽

Amazon Region ◽

Community Dwelling ◽

Frailty Syndrome ◽

Sectional Study ◽

Cross Sectional ◽

Community Dwelling Older Adults

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Peak Expiratory Flow as an Index of Frailty Syndrome in Older Adults: A Cross-Sectional Study

The journal of nutrition health & aging ◽

10.1007/s12603-020-1423-3 ◽

2020 ◽

Author(s):

J. A. Magave ◽

S. J. S. Bezerra ◽

A. P. Matos ◽

A. C. P. N. Pinto ◽

Maycon Sousa Pegorari ◽

...

Keyword(s):

Older Adults ◽

Peak Expiratory Flow ◽

Cross Sectional Study ◽

Frailty Syndrome ◽

Sectional Study ◽

Cross Sectional ◽

Expiratory Flow

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Peak Expiratory Flow as an Index of Frailty Syndrome in Older Adults: A Cross-Sectional Study

The journal of nutrition health & aging ◽

10.1007/s12603-020-1509-y ◽

2020 ◽

Vol 24 (9) ◽

pp. 993-998

Author(s):

J. A. Magave ◽

S. J. S. Bezerra ◽

A. P. Matos ◽

A. C. P. N. Pinto ◽

Maycon Sousa Pegorari ◽

...

Keyword(s):

Older Adults ◽

Peak Expiratory Flow ◽

Cross Sectional Study ◽

Frailty Syndrome ◽

Sectional Study ◽

Cross Sectional ◽

Expiratory Flow

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The Association between Sleep Quality and Loneliness in Rural Elderly Individuals: A Cross-Sectional Study in Shandong Province, China

10.21203/rs.2.13462/v2 ◽

2020 ◽

Author(s):

Gaizhen Jia ◽

Ping Yuan

Keyword(s):

Older Adults ◽

Sleep Quality ◽

Cross Sectional Study ◽

Rural Elderly ◽

Shandong Province ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Rural Older Adults

Abstract Background: There is evidence of negative associations between loneliness and sleep quality in older adults. However, little is known regarding the relationship between loneliness and sleep quality among Chinese rural elderly. This study examined the associations of loneliness and sleep quality in a cross-sectional study of older adults. Methods: A face-to-face questionnaire survey was conducted among 1,568 rural elderly people in Shandong Province, China. Loneliness was assessed using the University of California at Los Angeles Loneliness Scale. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Ordinal logistic regression was conducted to examine the association of loneliness and sleep quality after adjusting for multiple confounding variables. Results: After controlling for variables such as age, marriage, education, occupation, economic income, family relationships, living arrangement, smoking, drinking, chronic diseases, quality of life in a multivariable analysis, poor sleep quality still indicates loneliness in the rural elderly population. Conclusion: This finding implied an adverse effect of sleep quality on the loneliness of older adults. Poor sleep quality was associated with the increased odds of loneliness in Chinese rural older adults. Sleep-based interventions should be developed to prevent loneliness in rural older adults in China.

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The Association between Sleep Quality and Loneliness in Rural Elderly Individuals: A Cross-Sectional Study in Shandong Province, China

10.21203/rs.2.13462/v3 ◽

2020 ◽

Author(s):

Gaizhen Jia ◽

Ping Yuan

Keyword(s):

Older Adults ◽

Sleep Quality ◽

Cross Sectional Study ◽

Rural Elderly ◽

Shandong Province ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Rural Older Adults

Abstract Background: There is evidence of negative associations between loneliness and sleep quality in older adults. However, little is known regarding the relationship between loneliness and sleep quality among Chinese rural elderly. This study examined the associations of loneliness and sleep quality in a cross-sectional study of older adults. Methods: A face-to-face questionnaire survey was conducted among 1,568 rural elderly people in Shandong Province, China. Loneliness was assessed using the University of California at Los Angeles Loneliness Scale. Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Ordinal logistic regression was conducted to examine the association of loneliness and sleep quality after adjusting for multiple confounding variables. Results: After controlling for variables such as age, marriage, education, occupation, economic income, family relationships, living arrangement, smoking, drinking, chronic diseases, quality of life in a multivariable analysis, poor sleep quality still indicates loneliness in the rural elderly population. Conclusion: This finding implied an adverse effect of sleep quality on the loneliness of older adults. Poor sleep quality was associated with the increased odds of loneliness in Chinese rural older adults. Sleep-based interventions should be developed to prevent loneliness in rural older adults in China.

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Malnutrition and other risk factors of geriatric depression: a community-based comparative cross-sectional study in older adults in rural Bangladesh

BMC Geriatrics ◽

10.1186/s12877-021-02535-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Md. Ziaul Islam ◽

Tasnim Rahman Disu ◽

Sharmin Farjana ◽

Mohammad Meshbahur Rahman

Keyword(s):

Risk Factors ◽

Older Adults ◽

Cross Sectional Study ◽

Older Individuals ◽

Geriatric Depression ◽

Sectional Study ◽

Community Based ◽

Cross Sectional ◽

Associated Risk Factors ◽

Rural Older Adults

Abstract Background Malnutrition and depression are highly prevalent in older adults and can lead to disparaging outcomes. Analytical studies on geriatric depression (GD) and its association with malnutrition are very scarce in Bangladesh, although the size of the older population is increasing fast in the country. The current study aimed to assess the association between malnutrition and depression and associated risk factors in rural older adults. Methods A community-based comparative cross-sectional study was conducted in 600 older adult residents (aged ≥60 years) of three rural communities of Bangladesh from January to October 2019. The study enrolled two groups of participants; 300 depressed as cases and another 300 non-depressed older adults as a comparison group matching their age and living area. We used a semi-structured questionnaire to collect data through a face-to-face interview. Geriatric Depression Scale-15 was used to determine depression, and a score of ≥5 was considered as depressed. We used the Bangla version of the Mini-Nutritional Assessment-Short Form to assess nutritional status, which comprised questions related to appetite, weight loss, mobility, recent illness/stress, dementia/depression, and BMI, and considered a score of 0–7 as the cutoff score for malnutrition. Measures included baseline and personal characteristics, malnutrition, GD, and its associated risk factors. A binary logistic regression model was fitted to identify variables associated with the risk of GD. Results The study found no significant difference in gender (male Vs. female) between depressed (44.0% Vs. 56.0%) and non-depressed (46.0% Vs. 54.0%) older individuals. The study revealed that malnutrition was significantly (p < 0.01) higher in depressed (56.0%) than in non-depressed (18.0%) rural older adults. The malnourished older adults had around three times (AOR = 3.155; 95% CI: 1.53–6.49, p = 0.002) more risk of having depression than the well-nourished older individuals. Older adults who were unemployed (AOR = 4.964; 95% CI: 2.361–10.440; p = 0.0001) and from lower and middle class (AOR = 3.654; 95% CI: 2.266–7.767; p = 0.001) were more likely to experience depression. Older adults having a ‘poor diet’ were more likely to experience depression (AOR = 3.384; 95% CI: 1.764–6.703; p = 0.0001). The rural older adults who were single (AOR = 2.368; 95% CI: 1.762–6.524; p = 0.001) and tobacco users (AOR = 2.332; 95% CI: 1.663–5.623; p = 0.003) were found more likely to experience depression. Conclusions A significant association between malnutrition and depression was evident by the current study in the rural older individuals of Bangladesh. It will be a prolific initiative if policymakers merge malnutrition and the risk factors associated with geriatric depression in providing universal health care for better health and well-being of the rural older populations.

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