scholarly journals Burden of Communicable and Non-Communicable Diseases Among Elderly in India: A Study Based on LASI Survey

2021 ◽  
Author(s):  
Shekhar Chauhan ◽  
Shubham Kumar ◽  
Ratna Patel ◽  
David Jean Simon ◽  
Aradhana Singh
Keyword(s):  
Higher Education ◽  
Rural Areas ◽  
Binary Logistic Regression ◽  
Cost Effective ◽  
The Elderly ◽  
Communicable Diseases ◽  
Rural Elderly ◽  
Urban Elderly ◽  
Non Communicable Diseases ◽  
Urban Inequality

Abstract Background: While controlling the outbreak of communicable diseases (CDs) remained a priority, non-communicable diseases (NCDs) are placing an unavoidable burden on the health and social security system. India, a developing nation in South Asia, has seen an unprecedented economic growth in the past few years; however, it struggled to fight the burden of communicable and non-communicable diseases. Therefore, this study aimed at examining the burden of CDs and NCDs among elderly in India.Methods: Data from Longitudinal Ageing Study in India (LASI Wave-I, 2017-18) were drawn to conduct this study. Response variables were the occurrence of CDs and NCDs. The bi-variate and binary logistic regression were used to predict the association between communicable and non-communicable diseases by various socio-demographic and health parameters. Furthermore, to understand the inequalities of communicable and non-communicable diseases in urban and rural areas, the Fairlie decomposition technique was used to predict the contribution toward rural-urban inequalities in CDs and NCDs.Results: Prevalence of communicable diseases was higher among uneducated elderly than those with higher education (31.9% vs. 17.3%); however, the prevalence of non-communicable diseases was higher among those with higher education (67.4% vs. 47.1%) than uneducated elderly. The odds of NCDs were higher among female elderly (OR=1.13; C.I. = 1-1.27) than their male counterparts. Similarly, the odds of CDs were lower among urban elderly (OR=0.70; C.I. = 0.62-0.81) than rural elderly, and odds of NCDs were higher among urban elderly (OR=1.85; C.I. = 1.62-2.10) than their rural counterparts. Results found that education (50%) contributes nearly half of the rural-urban inequality in the prevalence of CDs among the elderly. Education status and current working status were the two significant predictors of widening rural-urban inequality in the prevalence of NCDs among the elderly.Conclusion: The burden of both CD and NCD among the elderly population requires immediate intervention. The needs of men and women and urban and rural elderly must be addressed through appropriate effort. In a developing country like India, preventive measures, rather than curative measures of communicable diseases, will be cost-effective and helpful.

scholarly journals Prevalence of obesity among elderly residing in an urban area of Belgaum

2019 ◽  
Vol 6 (10) ◽  
pp. 4417
Author(s):  
Ashwini Chingale ◽  
S. M. Katti
Keyword(s):  
Body Mass ◽  
Central Obesity ◽  
The Elderly ◽  
Communicable Diseases ◽  
Lifestyle Changes ◽  
Asia Pacific ◽  
Ageing Population ◽  
Urban Elderly ◽  
Non Communicable Diseases ◽  
Prevalence Of Obesity

Background: The elderly population is the fastest growing age group in the world. This demographic transition has important changes in quality of life in this population, given that longevity may be accompanied by non- communicable diseases, functional reduction, increased dependence, and social isolation, which can bring weight gain in the elderly. Among the elderly there is a loss of the lean body mass and increased body-fat percentage. It is a major risk factor for non-communicable diseases and mortality. The objectives of the present study were to estimate the prevalence of obesity among urban elderly using different measurement methods.Methods: It was cross-sectional study conducted between 1st January to 31st December 2013 in 700 individuals aged 60 years and above. The study participants, permanent residents of Ashok Nagar Urban field practice area, were selected using a simple random technique. Obesity was assessed by using WHO Asia-Pacific Guidelines for body mass index (BMI) and WHO waist circumference (WC) guidelines. Data was analyzed by using percentages and kappa statistics.Results: Prevalence of obesity according to BMI criteria was 38.1% and 43.0% among men and women respectively. Measurement of WC showed that 17.4% of men and 46.8% of women suffered from central obesity. There was slight agreement between obesity criteria and central obesity.  Conclusions: The study highlights the problem of obesity in urban elderly. The prevalence of obesity in elderly was slightly higher, with predominance in women. An ageing population together with social, economic and lifestyle changes have led to dramatic increase in obesity. 

scholarly journals Comparison of Depressive Symptoms and its Influencing Factors among the Elderly in Urban and Rural Areas: Based on a Longitudinal Study (CHARLS) in China

2021 ◽  
Author(s):  
Haixia Liu ◽  
Xiaojing Fan ◽  
Huanyuan Luo ◽  
Zhongliang Zhou ◽  
Chi Shen ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Depressive Symptoms ◽  
Influencing Factors ◽  
Rural Areas ◽  
The Elderly ◽  
Education Level ◽  
Rural Elderly ◽  
Urban Elderly ◽  
Gender Education ◽  
Urban And Rural Areas

Abstract Background: The imbalance between urban and rural areas leads to heterogeneous loci of depression in urban and rural elderly and affects the depressive symptoms of elderly by changing the social environment. Depression amongst the elderly population is a worldwide public health problem, especially in China. Affected by the urban-rural dual structure, depressive symptoms of the elderly in urban and rural areas are different.Methods: Based on the data of China Health and Retirement Longitudinal Study (CHARLS) in 2018y, 7690 elderly people aged ≥ 60 years were included in the final analysis. Center for Epidemiologic Studies Depression Scale (CES-D-10) were used to measure the depressive symptoms, and the generalized linear model (GLM) and binary logistic regression were employed to assess the association between urban and rural source and depression.Results: Depressive symptoms of the elderly in urban and rural areas were significantly different (P<0.001). GLM showed that the risk of depression in the rural elderly is 1.52 times (OR=1.52, 95% CI: 1.32 to 1.76) that of the urban elderly. The result of logistic regression showed that the influencing factors of depression in urban and rural areas were different. Gender, education level, life satisfaction, chronic disease and social activities were influencing factors of depression among the urban elderly. But for the rural elderly, influencing factors of depression were gender, education level, minorities, self-reported health status, life satisfaction, sleep duration (≤5h), chronic disease, social activities and income (except for pension). Conclusions: The results of our study indicated that targeted and precise intervention strategies to prevent depression should be proposed for the urban and rural elderly respectively.

scholarly journals Health Disparities between the Rural and Urban Elderly in China: A Cross-Sectional Study

2021 ◽  
Vol 18 (15) ◽  
pp. 8056
Author(s):  
Jian Zhang ◽  
Dan Li ◽  
Jianmin Gao
Keyword(s):  
Health Disparities ◽  
Rural Health ◽  
Rural Areas ◽  
Decomposition Analysis ◽  
The Elderly ◽  
Rural Elderly ◽  
Urban Elderly ◽  
Rural And Urban ◽  
Urban Rural ◽  
Urban And Rural Areas

Background: China is becoming an aging society, and the proportion of the population aged 60 years and above is increasing. There is a dualistic urban–rural economic structure between urban and rural areas in China, but there are few comparative health studies on the self-assessed health (SAH) status of the elderly between urban and rural areas. The aim of this study is to explore the SAH status of the elderly in China, and to identify the health disparity between the urban and rural elderly. Methods: The data from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were adopted. A total of 9630 participants aged 60 and above were included in this study. SAH was used as the indicator, measuring the health status. Fairlie decomposition analysis was conducted to find the SAH disparity. Results: The proportion of good SAH of the rural elderly (24.01%) was significantly higher than the urban elderly (19.99%). The association of SAH was widely different between the rural and urban elderly. There was a stronger association between SAH and sleeping time in the urban elderly (Odds ratios (OR) = 3.347 of 4–8 hours; OR = 3.337 of above 8 hours) than the rural elderly (OR = 1.630 of 4–8 hours; OR = 2.293 of above 8 hours). Smoking and social activity were significant only in the urban elderly, while region and assets were significant only in the rural elderly. Drinking (11.45%), region (−33.92%), and assets (73.50%) were the main factors contributing to the urban–rural health disparities. Conclusions: This is the first comparative study examining SAH disparity, focusing on the elderly aged 60 and above in China. From the perspective of drinking, region, and assets, our study highlighted substantial urban–rural health disparities, and provided evidence for policy making on narrowing the health gap between urban and rural areas in China.

scholarly journals Mineral Intake Status of Community-Dwelling Elderly from Urban and Rural Areas of South Korea: A Cross-Sectional Study Based on Korean National Health and Nutrition Examination Survey, 2013~2016

2020 ◽  
Vol 17 (10) ◽  
pp. 3415
Author(s):  
Ji-Myung Kim ◽  
Yun-Jung Bae
Keyword(s):  
National Health ◽  
Rural Areas ◽  
The Elderly ◽  
Rural Elderly ◽  
Community Dwelling ◽  
Food Sources ◽  
Urban Elderly ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Sodium And Potassium

We aimed to evaluate the intake of minerals (calcium, phosphorous, sodium, and potassium) in the urban and rural elderly and explore the adequacy of intake and food sources for each mineral using nationwide big data. The study used data from the Korea National Health and Nutrition Examination Survey (KNHANES) between 2013 and 2016. We analyzed 5292 elderly individuals that were aged 65 years and older (2271 men, 3021 women). Daily calcium, phosphorous, sodium, and potassium intake, and they were analyzed using the 24-h dietary recall method. Additionally, the adequacy of intake and food sources for each mineral was analyzed. Blood triglyceride level was significantly higher in rural elderly than in urban elderly. The intake of calcium and potassium per 1000 kcal of energy intake was significantly lower in the rural elderly, and the proportion of participants with calcium intake below the Estimated Average Requirement was significantly higher in the rural elderly than in the urban elderly. The intake of calcium, phosphorous, and potassium in the rural elderly was lower than that in the urban elderly. These results can be used as basic data when making social and environmental policies for the health of the elderly and when providing targeted dietary education for the management of chronic diseases for the elderly.

scholarly journals Prevalence of disabilities and non-communicable diseases in an elderly population in the Telangana state, India: a population-based cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041755
Author(s):  
Srinivas Marmamula ◽  
Satya Brahmanandam Modepalli ◽  
Thirupathi Reddy Kumbham ◽  
Rajesh Challa ◽  
Jill E Keeffe
Keyword(s):  
Elderly Population ◽  
Self Care ◽  
The Elderly ◽  
Population Based ◽  
Cross Sectional Study ◽  
Communicable Diseases ◽  
Self Report ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Communicable Diseases

ObjectivesTo assess the prevalence of disabilities (vision, hearing, mobility, cognitive, self-care and communication) and non-communicable diseases (NCDs) among the elderly population in two districts in Telangana, India.DesignPopulation-based cross-sectional study using a cluster random sampling method to select the study clusters.SettingElderly population in Khammam and Warangal districts were recruited. Detailed interviews were conducted by trained community health workers. Personal and demographic information such as age, gender, level of education and a self-report of NCDs was collected. The Washington Disability Questionnaire was administered to assess the presence of disabilities.Participants1821 participants aged ≥60 years, 54.5% were women, and 73.3% had no education.Primary outcome measurePrevalence of disabilities and NCDs.ResultsOverall, the prevalence of at least disability was 20.3% (95% CI 16.3 to 24.9). The prevalence of self- reported disabilities were: seeing (5.9%; 95% CI 4.4 to 7.8), mobility (12.8%; 95% CI 9.7 to 16.8), hearing (3.6%; 95% CI 2.7 to 4.8), cognition (4.8%; 95% CI 3.5 to 6.7), self-care (3.3%; 95% CI 2.3 to 4.7) and communication (1.8%; 95% CI 1.2 to 2.6). Overall, the prevalence of at least one NCD was 34.2% (95% CI 30.9 to 37.7). Hypertension was the most common systemic condition (25.4%; 95% CI 22.4 to 28.7), followed by diabetes (9.0%; 95% CI 7.3 to 11.0), and body pains (muscle-skeletal) (9.9%; 95% CI 8.1 to 12.2).ConclusionEvery fifth elderly person in the districts of Khammam and Warangal in Telangana had at least one self-reported disability. Besides, a third of the elderly had at least one NCD. There is a definite need to develop comprehensive public health strategies to address disabilities and NCDs in Telangana.

Spatial Clusters of Diabetes and Physical Inactivity: Do Neighborhood Characteristics in High and Low Clusters Differ?

2019 ◽  
Vol 31 (7) ◽  
pp. 612-621
Author(s):  
Joanna Sara Valson ◽  
V. Raman Kutty ◽  
Biju Soman ◽  
V. T. Jissa
Keyword(s):  
Built Environment ◽  
Rural Areas ◽  
Physical Inactivity ◽  
Geographical Information Systems ◽  
Communicable Diseases ◽  
Geographical Information ◽  
Sample Population ◽  
Spatial Clusters ◽  
Non Communicable Diseases ◽  
Urban And Rural Areas

This study aims to find spatial clusters of diabetes and physical inactivity among a sample population in Kerala, India, and evaluate built environment characteristics within the high and low spatial clusters. Spatial clusters with a higher and lower likelihood of diabetes and physical inactivity were identified using spatial scan statistic at various radii. Built environment characteristics were captured at panchayat level and 1600 m buffer around participant location using Geographical Information Systems. Comparison of sociodemographic and built environment factors was carried out for participants within high and low spatial clusters using t tests. Ten high and 8 low spatial clusters of diabetes and 17 high and 23 low spatial clusters of physical inactivity were identified in urban and rural areas of Kerala. Significant differences in built environment characteristics were consistent for low spatial clusters of diabetes and physical inactivity in the urban scenario. Built environment characteristics were found to be relevant in both urban and rural areas of Kerala. There is an urgent call to explore spatial clustering of non-communicable diseases in Kerala and undo the one-size-fits-all approach for prevention and control of non-communicable diseases.

scholarly journals Prevalence of Non-Communicable Diseases among Retired Military Personnel

2021 ◽  
Vol 16 (2) ◽  
pp. 35-39
Author(s):  
Md Mazharul Islam Khan ◽  
Ariful Haque ◽  
- Md Shamimuzzaman ◽  
Chyochyo Nancy ◽  
Farzana Zafreen
Keyword(s):  
Diabetes Mellitus ◽  
Military Personnel ◽  
The Elderly ◽  
Communicable Diseases ◽  
Ischemic Heart ◽  
Military Hospital ◽  
Epidemiologic Transition ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Mortality And Morbidity

Introduction: Non-communicable diseases (NCDs) have become burning issues worldwide, especially among the elderly individuals. Bangladeshi elderly is also susceptible cohort to NCDs for its recent epidemiologic transition and the NCDs is casting as prominent risk for major mortality and morbidity related issues. Objectives: To find out the prevalence of common NCDs and its risk factors among the Bangladeshi retired military personnel. Methods: This cross-sectional study was conducted among the retired military personnel admitted in Combined Military Hospital (CMH), Savar from January 2019 to July 2019. A face-to-face interview was carried out among the respondents using a semi-structured questionnaire. Results: Among 153 retired military personnel; most common NCDs were hypertension (80.4%), diabetes mellitus 66.7%, ischemic heart disease37.3% and only 3.9 % had low back pain. Most of them accessed their health in CMH (66.7%), where 17.6% reported to Govt. hospital and only a minor portion (15.7%) to private hospital. Moreover, 70.6% of them were not willing to regular health check-up. Conclusions: The most common NCDs were hypertension, diabetes mellitus and ischemic heart disease. This study concluded with a few intervention strategies and community-based health promotion programs to reduce the burden of NCDs among the retired military personnel. JAFMC Bangladesh. Vol 16, No 2 (December) 2020: 35-39

scholarly journals Manajemen Deteksi Dini Faktor Resiko Penyakit Tidak Menular (PTM)

2020 ◽  
Vol 3 (2) ◽  
pp. 48
Author(s):  
Isnaeni Rofiqoch
Keyword(s):  
Blood Pressure ◽  
Early Detection ◽  
Community Service ◽  
Blood Pressure Measurement ◽  
Clinical Signs ◽  
The Elderly ◽  
Communicable Diseases ◽  
Double Burden ◽  
Non Communicable Diseases ◽  
Average Value

Non-Communicable Diseases (NCD) is one of the causes of death in the world. Indonesia is a developing country that is facing a double burden of diseases, namely infectious diseases and non-communicable diseases. NCD can appear without symptoms and show no clinical signs, so many people are not aware of the dangers of NCD disease. The purpose of this comunity service is to provide counseling about NCD and measure blood pressure in an effort to detect NCD Early.This community service uses counseling as a method to increases partner knowledge in early detection of NCD. The average of partners knowledge increase by 42.6%. This is calculated by comparing the pre test average value of 5.70 and the post test average value of 8.20. Implementation of community service can increase the knowledge of the elderly posyandu group of Sokaraja Kulon Village so that the participants have the desire to prevent NCD and find out blood pressure from blood pressure measurement results in order to reduce the causes of non-communicable diseases (NCD) and have the intention to inform knowledge about Non-Communicable Diseases (NCD) to Family, Relatives and Communities.Keywords :Early Detection,Non-Communicable Diseases

scholarly journals Cluster analysis of risk factors for chronic non-communicable diseases in elderly Brazilians: population-based cross-sectional studies in a rural town

2021 ◽  
Vol 10 (17) ◽  
pp. e18101724202
Author(s):  
Saulo Vasconcelos Rocha ◽  
Sabrina Correia de Oliveira ◽  
Hector Luiz Rodrigues Munaro ◽  
Camila Fabiana Rossi Squarcini ◽  
Bruna Maria Palotino Ferreira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Physical Inactivity ◽  
Economic Status ◽  
The Elderly ◽  
Tobacco Consumption ◽  
Population Based ◽  
Communicable Diseases ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Sociodemographic Variables

Negative health behaviors incorporated into lifestyle are considered the main risk factors for chronic non-communicable diseases (NCDs) in adults and the elderly. However, the relationship between the aggregation of these factors and the sociodemographic conditions of the elderly needs to be better elucidated. The aim of this study was to analyze the simultaneity of the five risk factors for NCDs in the elderly with low economic status living in a rural city in Brazil, and their association with sociodemographic variables. Cross-sectional study was conducted with elderly people from Family Health Units of the city of Ibicui-Bahia, Brazil, where 310 elderly were enrolled. Rates of physical inactivity in leisure (PIL), alcohol consumption, sedentary behavior, overweight/obesity and tobacco consumption were collected through a questionnaire in an individual interview. The average age among participants was 71.62 (± 8.16) years. The group presenting the five behaviors had high scores in both sexes (men O/E = 242.5; women O/E = 161.7). Among men and women, the highest scores found through clustering of simultaneous NCD risk factors were for the consumption of alcohol with smoking, and physical inactivity with smoking. When analyzing the association between groups and sociodemographic characteristics, men were more physically inactive than women (OR = 0.96, CI = 0.92-0.98) and concomitantly had unhealthy habits (smoking). In conclusion, the elderly are exposed to health risk factors for concurrent CNCDs and the accumulation of these risk factors was not associated with sociodemographic variables, it is suggested that further studies be carried out with the prevalent variables as well as to analyze why the elderly population presents these levels.

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