scholarly journals Prevalence and Risk Factors for Pterygium in Rural Older Adults in Shandong Province of China: A Cross-Sectional Study

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Wanzhen Jiao ◽  
Chengchao Zhou ◽  
Ting Wang ◽  
Shaoyuan Yang ◽  
Hongsheng Bi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Educational Level ◽  
Eastern China ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Shandong Province ◽  
Sectional Study ◽  
Cross Sectional ◽  
Rural Older Adults

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.

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

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.

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

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.

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

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.

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

2020 ◽  
Author(s):  
Gaizhen Jia ◽  
Ping Yuan
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Living Arrangement ◽  
Cross Sectional Study ◽  
Shandong Province ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Rural Older Adults

Abstract Background: There is a evidence of negative association between loneliness and sleep quality in older adults. However, little is known regarding the relationship between loneliness and sleep quality among Chinese rural older adults. 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 1658 rural older adults 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 adjustment for multiple confounding variables. Results: After variables such as age, marriage, education, occupation, economic income, family relationships, living arrangement, smoking behavior, alcohol consumption, chronic disease experience, and quality of life were controlled in a multivariable analysis, poor sleep quality was still associated with loneliness in the rural older population. Conclusion: This finding implied an adverse effect of sleep quality on the loneliness of older adults. Poor sleep quality was associated with increased odds of loneliness in Chinese rural older adults. Sleep-based interventions should be developed to prevent loneliness in rural older adults in China.

scholarly journals Sexual Needs and Sexual Health in the Elderly Population in Eastern China: Findings From a Cross-Sectional Study

2021 ◽  
Author(s):  
tiansheng xie ◽  
Haibo Yan ◽  
Guohua Wang ◽  
Guojun Jiang
Keyword(s):  
Older Adults ◽  
Sexual Behavior ◽  
Sexual Health ◽  
Sexual Activity ◽  
Eastern China ◽  
Cross Sectional Study ◽  
Influential Factors ◽  
Sectional Study ◽  
Monthly Income ◽  
Cross Sectional

Abstract Objective: To investigate the sexual activity of older adults, to understand their knowledge attitude and practice(KAP) regarding sexually transmitted diseases (STD) and to perform correlation analyses of STD symptoms in this population.Methods: A cross-sectional study was conducted among 585 subjects from counties in eastern China. Data was collected from unified questionnaires; descriptive statistics were used for demographic characteristics and sexual activity, which used student t test, to compare the different groups, and multivariate logistic regression analysis to identify the dependence of influential factors.Results: 24.62% of participants were reported as sexually active. The subjects still work and the main income from personal salary was higher than other individuals . Furthermore, when participants monthly income or expenses was more than 1000 RMB, they seemed to have a higher sexual activity. Gender and monthly income were dependent on influential factors related to sexual activity. 54.7% showed good awareness of STD, but only 7.96% of them consistently and correctly used condoms; moreover, 21.03% report to have previously suffered from any STD symptoms. Sexual behavior, use of condoms and commercial sexual behavior were dependent on influential factors of sexual activity.Conclusions: Sexual needs and sexual health of older adults should not be neglected, effective strategies should be drafted for such population.

scholarly journals Artificial neural network application for identifying risk of depression in high school students: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fang-Fang Zhao
Keyword(s):  
Risk Factors ◽  
High School ◽  
High School Students ◽  
Eastern China ◽  
Cross Sectional Study ◽  
Ann Model ◽  
Sectional Study ◽  
School Students ◽  
Cross Sectional ◽  
Prevalence Of Depression

Abstract Background Identifying important factors contributing to depression is necessary for interrupting risk pathways to minimize adolescent depression. The study aimed to assess the prevalence of depression in high school students and develop a model for identifying risk of depression among adolescents. Methods Cross-sectional study was conducted. A total of 1190 adolescents from two high schools in eastern China participated in the study. Artificial neurol network (ANN) was used to establish the identification model. Results The prevalence of depression was 29.9% among the students. The model showed the top five protective and risk factors including perceived stress, life events, optimism, self-compassion and resilience. ANN model accuracy was 81.06%, with sensitivity 65.3%, specificity 88.4%, and area under the receiver operating characteristic (ROC) curves 0.846 in testing dataset. Conclusion The ANN showed the good performance in identifying risk of depression. Promoting the protective factors and reducing the level of risk factors facilitate preventing and relieving depression.

scholarly journals Prevalence of dyslipidemia and associated risk factors among adults aged ≥ 35 years in northern China: a cross-sectional study

2020 ◽  
Author(s):  
Yunfeng Xi ◽  
Liwei Niu ◽  
Ning Cao ◽  
Han Bao ◽  
Xiaoqian Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Postmenopausal Women ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Northern China ◽  
Cross Sectional Study ◽  
Lipoprotein Cholesterol ◽  
Sectional Study ◽  
Cross Sectional ◽  
Han Ethnicity

Abstract Background: Cardiovascular disease (CVD) prevalence has increased continuously over the last 30 years in China. Dyslipidemia is an important modifiable risk factor in CVD. We aimed to collect current data on the prevalence of dyslipidemia in northern China and explore potential influencing factors. Methods: In this cross-sectional study, we selected a representative sample of 65,128 participants aged ≥35 years in Inner Mongolia during 2015–2017. All participants completed a questionnaire and were examined for risk factors. Dyslipidemia was defined according to 2016 Chinese guidelines for adults. The associated factors for dyslipidemia were estimated by multivariate logistic regression analysis. Results: The age-standardized prevalence of dyslipidemia was 31.2% overall, with 4.3%, 2.4%, 14.7%, and 17.4% for high total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and low high-density lipoprotein cholesterol (HDL-C), respectively. The dyslipidemia prevalence was significantly higher in men than women (37.9% vs. 27.5%, P <0.001), but postmenopausal women had a higher prevalence of dyslipidemia components (except low HDL-C). Compared with Han participants, Mongol participants had a lower prevalence of dyslipidemia (29.1% vs. 31.4%, P <0.001). Male sex, living in urban areas, Han ethnicity, smoking, obesity, central obesity, hypertension, and diabetes were all positively correlated with dyslipidemia; alcohol consumption was linked to lower risk of dyslipidemia. Conclusions: Our study revealed that dyslipidemia is a health problem in northern China. Greater efforts to prevent and manage dyslipidemia, especially in men under age 55 years, postmenopausal women, and people with unhealthy lifestyles or chronic diseases.

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