Gender Differences in Factors Affecting Life Satisfaction of the Elderly with Multimorbidity in Korea

Identification of risk factors for diabetes in Chinese middle-aged and elderly adults

This study aimed to identify and analyze the factors associated with the prevalence of diabetes among Chinese adults, using data from the China Health and Retirement Longitudinal Study (CHARLS). Data from the CHARLS cohort, with a mean age of 63.3 years, were analyzed using SPSS software. Descriptive statistics were performed for the overall population, as well as urban and rural subgroups. Logistic regression models were employed to assess the association between diabetes and variables such as age, gender, smoking, alcohol consumption, hypertension, and mental health disorders. Paired-sample t-tests were conducted to evaluate changes in diabetes prevalence across 2015, 2018, and 2020. The average of diabetes increased from 1.08 in 2015 to 1.15 in 2020, with a statistically significant difference (P < 0.001). Paired-sample t-tests showed significant differences between 2020 and 2018, as well as between 2018 and 2015 (P < 0.001). Logistic regression analysis identified hypertension (aOR = 0.447, 95% CI: 0.410-0.488, P < 0.001) and chronic disease (aOR = 0.024, 95% CI: 0.013-0.042, P < 0.001) as key risk factors for diabetes. Mild physical exercise was a protective factor (aOR = 0.813, 95% CI: 0.708-0.935, P < 0.01), while smoking (aOR = 1.220, 95% CI: 1.088-1.369, P < 0.001) and alcohol consumption (aOR = 1.125, 95% CI: 1.020-1.242, P < 0.05) increased the risk. Smoking and alcohol had a greater impact in urban areas, while hypertension and mental health disorders were more influential in rural areas. This study demonstrates that age, gender, smoking, alcohol consumption, hypertension, and mental disorders significantly influence the risk of diabetes among Chinese adults aged 45 and above. Distinct risk factors were identified between urban and rural populations, highlighting the necessity for tailored intervention strategies. The longitudinal analysis from 2015 to 2020 revealed a substantial increase in diabetes prevalence, underscoring the critical need for sustained and targeted public health efforts.

The effect of socioeconomic status, depression, and diabetes symptoms severity on diabetes patient's life satisfaction in India

Evidence suggests that diabetes is on the rise in India, affecting many people's life satisfaction. Comprehensive estimation of life satisfaction among diabetes patients does not exist in the country. This study examined the effects of socioeconomic status, depression, and diabetes symptoms severity on the life satisfaction of diabetes patients by controlling various demographic variables. It was a cross-sectional study comprising 583 diabetes patients from Punjab, India. Patients were interviewed using a multi-stage purposeful random sampling method. Descriptive analysis and partial least squares structural equation modelling were used in the study to test the hypotheses. Results revealed that socioeconomic status, depression and diabetes symptoms severity significantly influence the life satisfaction of diabetes patients. A 1% drop in diabetes symptoms severity corresponds to a 0.849% increase in life satisfaction, whereas a 1% decrease in depression results in a 0.898% increase in life satisfaction. Patients with higher diabetes symptoms severity were coping with common mental disorders. Women reported higher diabetes symptoms severity and depression than men, resulting in lower life satisfaction. An experimental evaluation of the effects of socioeconomic status, depression and diabetes symptoms severity, and numerous demographic factors on life satisfaction was reported. The findings will help policymakers understand the problem associated with life satisfaction among diabetes patients in the country.

Association Between Social Frailty and Life Satisfaction Among Older Adults: The Role of Functional Limitations and Depressive Symptoms

The current study aimed to identify life satisfaction depending on the degree of social frailty and explore the mediating role of functional limitations and depressive symptoms between social frailty and life satisfaction. A secondary analysis of a cross-sectional survey was used. Data of 6,479 older adults were selected from the 2020 National Survey of Older Koreans. Of all participants, 2,595 (40.1%) and 1,605 (24.8%) had social prefrailty and frailty, respectively. Life satisfaction of participants with social frailty was significantly worse than those without social frailty. Social frailty negatively influenced life satisfaction. Functional limitations and depressive symptoms serially mediated the association between social frailty and life satisfaction. This mediation model provided evidence of the associations among social frailty, functional limitations, depressive symptoms, and life satisfaction in older adults. In community care settings, nurses should recognize the assessment of social frailty to enhance the subjective well-being of older adults. [Research in Gerontological Nursing, 16(6), 291-300.].

The knowledge map of gender equality in cross-cultural communication: A bibliometric approach

It is urgent to solve the gender issues in global cross-cultural communication. Countries worldwide should responsible for achieving gender equality (SDG5). Hence, the study aims to portray the knowledge map of the gender issue in intercultural communication to explore the research status and future potential. The study used CiteSpace to conduct a bibliometric method within 2728 English articles on cross-cultural communication and gender equality topics from the Web of Science (WoS). After cluster analysis and time series analysis, this study emphasis the continued attention and increasing trend of publications and elaborates on the critical authors, institutions, and countries of research on this issue. The results introduced Putnick as the dominant author contributed to the topic. The University of Oxford ranked the top1 in the institution cooperation relationship. Europe countries and the United States have made major contributions and influenced Asian and African countries, such as Burkina Faso, North Macedonia, and Kosovo. Gender issues in Asia and Africa are getting much attention. The keyword clusters formed by the authors' cooperation include gender equality, life satisfaction, network analysis, and alcohol use. In addition, childbirth technology, patient safety competition, life satisfaction, capital safety, and sex difference are the key word clustering results of institutional cooperation. At the level of national cooperation, internet addition, risk sexual behavior, covid-19 pandemic and suicidal idea have become the main keywords The results of keyword cluster analysis show that gender role attribute, psychological properties, dating policy, professional fulfillment, and entrepreneurial intention have become the main topics in the current research. The research frontier analysis reflects the importance of gender, women and health. The research on self-efficacy, diversity, image, life satisfaction and choice has become the trend of cross-cultural communication and gender issues. Furthermore, abundant achievement emerged in the subjects of Psychology, Education, Sociology, and Business economics. Geography, Language and Literature, Medicine, and Health industries also have been highly influential in recent years. Therefore, the conclusion suggests the studies of gender issues can be further deepened into more authors, areas, subject and other multiple cooperation sectors.

Multimorbidity patterns and mortality in older adults: Results from the KORA-Age study

The coexistence of several chronic diseases is very common in older adults, making it crucial to understand multimorbidity (MM) patterns and associated mortality. We aimed to determine the prevalence of MM and common chronic disease combinations, as well as their impact on mortality in men and women aged 65 years and older using the population-based KORA-Age study, based in South of Germany. The chronic disease status of the participants was determined in 2008/9, and mortality status was followed up until 2016. MM was defined as having at least two chronic diseases. We used Cox proportional hazard models to calculate the hazard ratios (HRs) and the 95% confidence intervals (CIs) for associations between MM and all-cause mortality. During the study period 495 men (24.6%) and 368 women (17.4%) died. Although the MM prevalence was almost the same in men (57.7%) and women (60.0%), the overall effect of MM on mortality was higher in men (HR: 1.81, 95% CI: 1.47–2.24) than in women (HR: 1.28, 95% CI: 1.01–1.64; p-value for interaction &lt;0.001). The type of disease included in the MM patterns had a significant impact on mortality risk. For example, when both heart disease and diabetes were included in the combinations of two and three diseases, the mortality risk was highest. The risk of premature death does not only depend on the number of diseases but also on the specific disease combinations. In this study, life expectancy depended strongly on a few diseases, such as diabetes, hypertension, and heart disease.

Evaluation of Satisfaction with Healthcare Services in Multimorbid Patients Using PACIC+ Questionnaire: A Cross-Sectional Study

Background and Objectives: Although multimorbidity poses many challenges for both individuals and healthcare systems, information on how these patients assess the quality of their healthcare is lacking. This study assessed the multimorbid patients' satisfaction with their healthcare. Materials and Methods: This cross-sectional study was a part of a project Joint Action-Chronic Diseases and Promoting Healthy Ageing across the Life Cycle and its implementation. The study included 400 patients with arterial hypertension and at least one concomitant chronic disease. Patients completed The Patient Assessment of Care for Chronic Conditions Plus (PACIC+) questionnaire, EuroQol Five-Dimensions-Three-Level Quality of Life questionnaire, and Hospital Anxiety and Depression scale. Results: The mean age of the participants was 65.38 years; there were 52.5% women. The mean PACIC+ 5As summary score was 3.60. With increasing age, participants rated worse on most PACIC+ subscales. Participants who assessed their quality of life as worse were also less satisfied with their healthcare. The presence of three or more concomitant diseases negatively affected PACIC+ scores. Patients with ischemic heart disease and heart failure had lower PACIC+ scores on most subscales, whereas patients with atrial fibrillation had lower scores only on the Agree subscale. The presence of diabetes was not associated with worse PACIC+ scores; moreover, the scores in Assist and Arrange subscales were even better in diabetic patients (3.36 vs. 2.80, p = 0.000 and 3.69 vs. 3.13, p = 0.008, respectively). Patients with chronic obstructive pulmonary disease, asthma, and musculoskeletal disorders showed lower PACIC+ scores. Conclusions: Older age, worse self-assessed health state, presence of three or more diseases, and certain chronic diseases were associated with lower patients' satisfaction with their healthcare. Personalized healthcare, increasing competencies of primary healthcare teams, healthcare services accessibility, and financial motivation of healthcare providers may increase multimorbid patients' satisfaction with their healthcare.

Relationship between the Engel Coefficient, Life Satisfaction, and Subjective Health for Senior Citizens in Korea: Moderating Effect of COVID-19

The purpose of this study was to explore the determinants of life satisfaction for Korean senior citizens. Subjective health and the Engel coefficient were used as the explanatory variables. This research also aimed to examine the moderating effect of Coronavirus disease 2019 (COVID-19) on the relationship between the Engel coefficient and life satisfaction for Korean senior citizens. Archival data (Korean longitudinal study of aging) were used for this work. The study period is 2018 and 2020; the number of observations was 3879. Multiple linear regression analysis was performed to test the research hypotheses. To examine further, this research performed additional analyses: sub-sample analysis, median split, and independence tests. The results indicated that the Engel coefficient is negatively associated with life satisfaction, while subjective health is positively related to life satisfaction. Moreover, Korean senior citizens' life satisfaction was higher during the COVID-19 pandemic. This research provides information for building policy for senior Korean citizens.

Decomposition of caste differential in life satisfaction among older adults in India

BACKGROUND

Being a multi-cultured country, India has varied social groups which largely shape the lives of individuals. Literature has shown that life satisfaction is highly associated with the social status of individuals. However, changing age dynamics (growing older) and definition of life among people presses the need to understand whether the additional years of life in older adults are manifested with the disparity in life satisfaction among the Scheduled Caste (SC)/ Scheduled Tribes (ST) and non-SC/ST social groups in recent years. The present study explored the factors contributing to such differences in life satisfaction across social groups.

METHODS

This study used data from the Longitudinal Aging Study in India conducted during 2017-18. The analytical sample of the study was 30,370 older adults. Life satisfaction was the outcome variable with a score ranging from 5 to 35. Descriptive statistics and bivariate analysis were conducted. Simple linear regression analysis was used to establish the association between the outcome and explanatory variables. Further, the Blinder-Oaxaca decomposition model was used to analyse the role of explanatory factors in the caste difference in life satisfaction among older people.

RESULTS

Overall, the life satisfaction score among older adults in the study was 23.9 (SD- 7.3). Older adults from non-SC/ST group had significantly higher likelihood of having life satisfaction in comparison to older adults from SC/ST group [Coef: 0.31; CI: 0.14, 0.49]. The decomposition results showed that the model explained 74.3% of the caste gap (between SC/ST and non-SC/ST) in life satisfaction among older adults in India. Subjective social status (39.0%) was widening the gap for life satisfaction among older adults from SC/ST and non-SC/ST group. Similarly, level of education (15.2%) followed by satisfaction with living arrangement (13.2%) and place of residence (5.3%) contributed for widening the gap for life satisfaction among older adults from SC/ST and non-SC/ST group. Region of country (- 11.5%) followed by self-rated health (- 3.0%) and major depression (- 2.7%) contributed for narrowing down the gap for life satisfaction among older adults from SC/ST and non-SC/ST group.

CONCLUSION

Older adults belonging to non-SC/ST groups were more likely to have a higher level of life satisfaction than those from the SC/ST group. Factors like subjective social status, educational level, living arrangement satisfaction, and place of residence explained the caste differential in life satisfaction among older adults. In addition, factors such as psychological health and perceived health status should be the area of concern and special focus for policy makers and researchers in terms of reducing social inequalities in wellbeing among older population.

Multimorbidity and Polytherapy in Patients with Femoral Neck Fracture: A Retrospective Observational Study

Fractures of the femoral neck are one of the most common reasons for admission to an orthopedic institute. These patients also show multimorbidity (≥2 chronic conditions) and polytherapy (≥5 drugs). Multimorbidity and polytherapy are associated with a high risk of hospitalization and a reduction in quality of life. The present retrospective observational study was conducted to evaluate the prevalence of multimorbidity and polytherapy in patients aged ≥65 years and surgically treated for femoral neck fractures at an orthopedic institute over 3 years. Multimorbidity was evaluated with Elixhauser’s comorbidity measure and polytherapy was obtained from the patient’s medical record. This study identified 917 patients (84 ± 7.6 years); most of them were females. Most patients presented ≥2 chronic conditions, the most frequent of which was uncomplicated hypertension, and most patients used ≥5 drugs, of which antithrombotic ones were the most frequently taken. No significant gender and age differences were found between the presence or not of multimorbidity or polytherapy. Multimorbidity and polytherapy were statistically associated with an increased and decreased risk of 1-year mortality, respectively. This retrospective study has evaluated the variables required for the establishment of a minimum core of descriptors of the prevalence of polytherapy and multimorbidity in the orthopedic field.

Predictors of subjective well-being in Korean men and women: Analysis of nationwide panel survey data

Subjective well-being has been associated with sociodemographic characteristics, health, and satisfaction with family life. There is evidence on gender difference in subjective well-being and differential relationships of predictors between men and women worldwide. However, little is known about the gender gaps in subjective well-being in Korean adults. Using nationwide panel survey data, this study aims to examine predictors of subjective well-being in the Korean population and to investigate if there is a difference in the impact of some predictors between men and women. Generalized estimating equations were used to measure the relationship between subjective well-being and explanatory variables, using individual-level data from the Korean Welfare Panel Study (KOWEPS) between 2017 and 2020. Model 1 investigated sociodemographic variables. Model 2 added three health-related variables (such as disability, chronic disease, and subjective health status) and satisfaction with family life. Additional models included a range of interaction terms. In the 2020 KOWEPS, 10,758 respondents rated their subjective well-being scores on the Cantril ladder. The mean score of all respondents was 6.74 (SD = 1.66). In the analysis of the pooled sample, subjective well-being was higher in women than in men (Models 1-2, p < .01). Among all variables examined, satisfaction with family life was the most important predictor of subjective well-being (β = 1.3625; p < .01). Education level and employment status had significant interaction effects with gender on subjective well-being. In particular, higher education was more important for women and stable employment was more important for men.