&lt;p&gt;Subjective health and quality of life among elderly people living with chronic multimorbidity and difficulty in activities of daily living in rural South Africa&lt;/p&gt;

Das

et al. 2021

Indian J Community Med

Background: Aging of population is a worldwide phenomenon of the 21 st century, which leads to many socioeconomic consequences including their health status. Hence, this study tries to assess the self-reported health status (SRHS) of elderly widows (60+ years) and its principal determinants. Materials and Methods: A cross-sectional study was conducted among 360 elderly widows from Puducherry district, 260 urban and 130 from rural areas. The sociodemographic information and the self-rated health status of elderly widows were collected with semi-structured interview schedule. Data were analyzed adopting descriptive statistics and multivariate analysis making use IBM-SPSS software 22 version. Results: Thirty-seven percent each of the elderly widows felt to be in “fair” and “good” health status, respectively, whereas 26% of them stated to be living with “poor” health status. Results of multinomial regression analysis showed that multinomial regression analysis showed that the odds of “poor” and “fair” SRHS (as against “good” SRHS) of elderly widows are conspicuously higher among those who are suffering from 2 or more chronic morbidities, whereas such odds are significantly lower among those who have 2 or more sons, educated up to middle school level and above, and who have higher functional ability. Urban residence, middle-old ages (66–76), and moderate monthly family income (Rs. 3001–9000) have also exhibited some net effects on the “poor” and/or “fair” SRHS of elderly widows. Conclusion: Chronic morbidity, having son(s), education, economic status, functional ability, and urban residence are found to be the major determinants of the SRHS among elderly widows.

Section: Discussionsupporting

confidence: 76%

“…Earlier research also exhibited such phenomenon as almost universal. [ 3 4 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 ]…”

Section: Discussionmentioning

confidence: 99%

Self reported health status and its determinants among elderly widows in Puducherry, India

Das

et al. 2021

Indian J Community Med

“…Elderly participants with more comorbidities were reported to have lower QOL scores in the psychological health and environment domains. Associations between chronic diseases and lower QOL in the elderly have been mentioned in various studies [32][33][34]. A possible explanation for lower scores in the psychological health domain may be due to worrying about the diseases, complications, medical expenses, and need for assistance with daily activities.…”

Section: Discussionmentioning

confidence: 99%

Assessment of quality of life among elderly in urban and peri-urban areas, Yangon Region, Myanmar

Zin

Saw

et al. 2020

PLoS ONE

Background In the context of an aging population, quality of life (QOL) is an important consideration for the well-being of the elderly. However, there is limited information on the QOL of the elderly in Myanmar. This study aimed to explore the risk factors for low QOL among the elderly in urban and peri-urban areas of the Yangon Region, Myanmar. Methods A community-based, cross-sectional study was conducted among the elderly aged 60 years or older in two urban and two peri-urban townships in the Yangon Region from July to September 2019. A multi-stage sampling method was used to recruit study participants using a pre-tested questionnaire. A total of 616 (305 males and 311 females) elderly people were interviewed using a face-to-face interview technique. Multiple linear regression analysis was performed on the four domains (physical health, psychological health, social relationship, and environment) of QOL measured with the WHOQOL-BREF. Results Income level and having intimate friends influenced the QOL scores of the elderly in all domains, while education level and marital status influenced psychological health, social relationship, and environment domains. Social interaction with neighbors increased the QOL scores for physical health, social relationship, and environment domains. Living in peri-urban areas was associated with lower QOL scores for physical health, psychological health, and environment, while participation in group activities increased QOL scores in these domains. Having comorbidities affected the QOL for psychological health and environment domains, while the frequency of going out affected physical health, and the frequency of religious performance affected social relationship. Conclusion Residential location, education level, marital status, income, comorbidities, social interactions with neighbors and friends, participation in group activities, and frequencies of going out and religious activities should be considered in planning and implementing programs for the elderly in Myanmar. Peri-urban development, strengthening healthcare and social security systems, and encouraging social interaction and participation in group activities play critical roles in improving the QOL for elderly residing in Myanmar.

“…Additionally, most studies have ignored the influence of the number of NCDs, while older adults usually have more than one NCD, referred to as multimorbidity [ 12 ]. Some international researchers investigated the HRQOL of people suffering from multiple NCDs in their countries and found a negative relationship between HRQOL and multimorbidity [ 13 , 14 ]. However, few studies focused on older adults, especially Chinese older adults [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Relationship between the Number of Noncommunicable Diseases and Health-Related Quality of Life in Chinese Older Adults: A Cross-Sectional Survey

Liu

Zhou

et al. 2020

IJERPH

China has the largest population of older adults, most of whom suffer from one or more noncommunicable diseases (NCDs). The harm of the number of NCDs on the health-related quality of life (HRQOL) of older adults should be taken seriously. A sample of 5166 adults, aged 60 years and older, was included in this study. The Chinese version of the World Health Organization Quality of Life-Old (WHOQOL-OLD) instrument was used to assess the HRQOL. Multiple linear regression models were established to determine the relationship between the number of NCDs and the total score and scores of each dimension of the WHOQOL-OLD scale. After adjusting for confounding factors, suffering from one NCD (B = −0.87, 95% CI = −1.67 to −0.08, p < 0.05), two NCDs (B = −2.89, 95% CI = −3.87 to −1.90, p < 0.001), and three or more NCDs (B = −4.20, 95% CI = −5.36 to −3.05, p < 0.001), all had negative impacts on the HRQOL of older adults. NCDs had significant negative impacts on the HRQOL of older adults, and as the number of NCDs increased, the HRQOL of older adults deteriorated. Therefore, we should pay attention to the prevention and management of NCDs of older adults to prevent the occurrence of multiple NCDs.