A Latent Class Analysis of Health-Related Quality of Life in Korean Older Adults

Healthy lifestyle behaviors and depressive symptoms: a national cross-sectional study of the older adults in China

Introduction

This investigation assesses the impact of healthy lifestyle behaviors on depressive symptoms among older adults in China, utilizing data from the 2020 China Health and Retirement Longitudinal Study (CHARLS).

Methods

The analysis included 9,020 valid samples from individuals aged 60 and above. Sleep duration, social participation, and physical exercise were examined as independent variables. Depressive symptoms were measured using the CESD-10 scale, with relationships analyzed through an ordered logistic regression model.

Results

The study reveals significant correlations between healthy lifestyle behaviors - specifically adequate sleep, regular physical exercise, and active social participation - and reduced prevalence of depressive symptoms in the elderly (p < 0.05).

Discussion

These findings underscore the potential of healthy lifestyle interventions as key strategies in alleviating the mental health burden among China's aging population. Integration of these results into public health policies is recommended to enhance the mental well-being of older adults.

Association between air pollution and lifestyle with the risk of developing mild cognitive impairment and dementia in individuals with cardiometabolic diseases

Lifestyle factors and ambient air pollution are linked to dementia and CMDs, yet few studies have investigated their impact on dementia risk in CMDs patients at the same time. The Cox proportional hazards model was used to evaluate the influence of lifestyle and ambient air pollution on the dementia risk of the CMDs population among 438,681 participants in the UK Biobank. It is found that the risk of developing mild cognitive impairment and dementia in the population seems to increase with the increase in the number of CMDs. There appears to be a statistically significant association between high levels of ambient air pollution, unhealthy lifestyles, and a higher risk of developing mild cognitive impairment and dementia in the CMDs population. It is found that a healthy lifestyle may have an effect modifier role in the association between ambient air pollution and the risk of mild cognitive impairment and the development of dementia in patients with CMDs. Therefore, maybe people with CMDs can lessen the impact of ambient air pollution on their risk of developing mild cognitive impairment and dementia by improving their lifestyle.

Quality of life profiles and its association with predictors amongst Chinese older adults in nursing homes: a latent profile analysis

BACKGROUND

Recently developments in the field of positive psychology have provided new perspectives for understanding the connection between individual variation in Quality of life (QoL) and positive aspects of human potential, strengths, and resources, commanding increasing attention. This study aimed to examine self-reported quality of life (QoL) profiles and the association of QoL profiles with positive psychosocial characteristics in Chinese older adults.

METHODS

A convenient sample of 354 older adults in nursing homes was recruited from Guangdong Province, China, between November 2020 and January 2021. Latent Profile Analysis (LPA) was conducted to explore QoL profiles using the four WHOQOL-BREF domains as input variables. Multinomial logistic regression was performed to explore the association between latent profiles and predictors.

RESULTS

LPA identified three latent QoL profiles: "low QoL with poor psychological health" (18.1%), "moderate QoL" (46.0%) and "high QoL" (35.9%). Frequency of weekly activity, optimism, gratitude, and social support were associated with the increased likelihood of belonging to the moderate-to-high QoL classes. Furthermore, Class 2 (moderate QoL group, reference) was compared with Class3 (high QoL group), higher frequency of weekly physical activity and spending more time on physical activity exhibited higher odds of belonging to high QoL class.

CONCLUSION

Using the domains of the WHOQOL-BREF scale, the QoL profiles Chinese older adults can be identified. We found that psychosocial variables and demographic characteristic, including lower level of optimism and gratitude, lack of social support, low frequency of physical activity, and shorter activity duration time, heighten the risk for lower levels of QoL. Identifying classification may help focus on those at elevated risk for poor QoL and for developing tailored QoL improvement programs.

"Illness perceptions and factors of distress as mediators between trait emotional intelligence and quality of life in endometriosis"

Past findings highlighted the presence of distress symptoms and poor quality of life in people with endometriosis. Several studies showed that trait Emotional Intelligence (trait EI) is a key component of one's wellbeing, whilst Illness Perceptions may play an important role in psychological distress and perceived quality of life. The current study sought to test the hypothesis that an association between trait EI and Quality of Life in individuals with endometriosis would be mediated by Illness Perceptions, examining also the relations with General Distress (depression, anxiety, and stress). 364 women with endometriosis aged between 18 and 58 years old (M = 33.87; SD = 8.64) filled a protocol to assess Trait EI, Illness Perceptions, General Distress, and Quality of Life. Structural Equation Modelling was used to assess the relationship between the observed variables. Illness Perception was a mediator in the relationship between Trait EI, General Distress, and Quality of Life. Moreover, General Distress was a mediator between Trait EI and Quality of Life, and between Illness Perceptions and Quality of Life. Results showed that both Trait EI and Illness perceptions are key components for levels of distress and quality of life in women with endometriosis.

Socio-Demographic Factors Associated with Rural Residents' Dietary Diversity and Dietary Pattern: A Cross-Sectional Study in Pingnan, China

There is limited evidence regarding the factors correlated with dietary diversity (DD) and dietary pattern (DP) in rural residents of China. This study aims to identify the DD and DP of rural residents and their association with socio-demographic factors. A cross-sectional survey was conducted in Pingnan, China. The Food Frequency Questionnaire (FFQ) was applied to evaluate dietary intake. Latent class analysis (LCA) was used to identify patterns of six food varieties, including vegetables-fruits, red meat, aquatic products, eggs, milk, and beans-nuts. Generalized linear models and multiple logistic regression models were used to determine factors associated with the DD and DP. Three DPs were detected by LCA, namely "healthy" DP (47.94%), "traditional" DP (33.94%), and "meat/animal protein" DP (18.11%). Females exhibited lower DD (β = -0.23, p = 0.003) and were more likely to adhere to "traditional" DP (OR = 1.46, p = 0.039) and "meat/animal protein" DP (OR = 2.02, p < 0.001). Higher educational levels and annual household income (AHI) were positively associated with higher DD (p < 0.05) and less likely to have "traditional" DP and "meat/animal protein" DP (p < 0.05). Non-obese people exhibited higher DD (β = 0.15, p = 0.020) and were less likely to have "meat/animal protein" DP (OR = 0.59, p = 0.001). Our study reveals that females, those with lower educational levels and AHI, and obese people are more likely to have a lower DD and are more likely to adhere to "traditional" DP and "meat/animal protein" DP. The local, regional, and even national performance of specific diet-related health promotion measures and interventions must target these vulnerable populations to improve a healthier DD and DP.

Quality of life profiles and their associations with depressive symptoms and cognitive impairment of community-dwelling older adults in Hong Kong

Background

This study aimed to (1) explore the quality of life (QoL) profiles of older adults in Hong Kong and (2) examine their association with predictors (age, sex, body mass index, and depressive symptoms) and distal outcome (cognitive impairment) using a person-centered approach.

Methods

A total number of 328 community-dwelling older adults in Hong Kong were invited to participate in this study. Data from 259 older adults were identified as valid for the primary analysis. Latent profile analysis was used to explore QoL profiles. Multinomial logistic regression using the R3STEP function in Mplus was used to explore the predictive role of age, sex, body mass index, and depressive symptoms in profile membership. The Bolck-Croon-Hagenaars approach was used to examine how the distal outcome of cognitive impairment differs as a function of QoL profiles.

Results

Three QoL profiles emerged from the latent profile analysis (Low, Moderate and High QoL). It was found that depression, but not age, sex, or body mass index, significantly predicted QoL profile membership. The results of the Bolck-Croon-Hagenaars analysis revealed no significant differences in cognitive impairment across the three QoL profiles.

Conclusion

This is the first study that examined the relationship between QoL, depressive symptoms and cognitive impairment of older adults using a person-centered approach. The findings provide additional information for the evidence obtained from variable-centered approach on the associations among variables abovementioned. Our additional focus on the antecedents of emergent QoL profiles also provide practical knowledge regarding timely treatment for or prevention of depressive symptoms, which we submit will be crucial for enhancing the QoL of older adults.

Latent profile analysis for quality of life in older patients

Background

Quality of life (QOL) is a complex concept known for being influenced by socio-demographic characteristics, individual needs, perceptions and expectations. The study investigates influences of such heterogeneous variables and aims to identify and describe subgroups of older patients who share similar response patterns for the four domains (physical health, psychological health, social relationships and environment) of World Health Organization Quality of Life instrument, Short Form (WHOQOL-BREF).

Methods

The sample used included older Romanian patients (N = 60; equal numbers of men and women; mean age was 71.95, SD = 5.98). Latent Profile Analysis (LPA) was conducted to explore quality of life profiles with the four WHOQOL-BREF domains as input variables. Differences between profiles were analysed by MANOVA and ANOVAs as a follow-up.

Results

The LPA results showed that the three-profile model was the most suitable and supported the existence of three distinct QOL profiles: low and very low (28.3%), moderate (63.3%) and high (8.4%). The relative entropy value was high (0.86), results pointed to a good profile solution and the three profiles differed significantly from one another.

Conclusion

Our results reveal heterogeneity within the older adult sample and provide meaningful information to better tailor QOL improvement programs to the needs of older patient groups, especially those designed for patients of profiles related to poorer QOL in different domains.

Quality of life profiles and their association with clinical and demographic characteristics and physical activity in people with a stoma: a latent profile analysis

Purpose

Quality of life can be negatively impacted by the formation of a stoma and is influenced by a number of factors. Research to date treats people with a stoma as a homogenous group based on their quality of life. We attempted to identify subgroups based upon self-reported quality of life and explored variables associated with group membership.

Methods

The present study is a secondary analysis of a cross-sectional sample of 1419 people with a stoma. Participants completed validated questionnaires for quality of life, physical activity and clinical and demographic characteristics. Latent profile analysis was used to identify the optimal number of subgroups (profiles) and multinomial regression modelling was conducted to identify variables associated with profile membership.

Results

The analysis revealed 4 distinct profiles of people with a stoma: ‘consistently good quality of life’ [N = 891 (62.8%)], ‘some quality of life concerns’ [N = 184 (13.0%)], ‘low quality of life’ [N = 181 (12.8%)] and ‘financial concerns’ [N = 163 (11.5%)]. Modelling revealed that people with a recent stoma (formed < 2 years previously), who have a hernia and are less physically active were more likely to belong to the ‘low quality of life’ profile. Furthermore, those aged 16–55 were more likely to have financial concerns.

Conclusion

This study was the first to identify latent profiles within this population and assess whether certain variables are associated with membership. Future research should build upon this to identify additional variables associated with these profiles, which can help to provide the basis for targeting and tailoring future interventions to specific subgroups of people with a stoma.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-022-03102-5.

The Protective Effect of Caring for Grandchildren on the Mental Health of the Elderly: A Structural Equation Modeling Analysis

Population aging has become a common problem all over the world, and the process of China’s population aging is developing rapidly. China has made active aging a national development strategy, giving full attention to the physical and mental health of the elderly. Bloodline and family continuity make the Chinese elderly attach great importance to the responsibility of caring for grandchildren. This study takes the elderly as the research center, and aims to investigate the relationship between caring for grandchildren and the mental health of the elderly in China, and whether participation in social activities mediates such an association. Adopting the data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), a Chi-squared test and multiple regression results showed that caring for grandchildren significantly improved the mental health level of the elderly in China, and the results were still valid after the use of the Propensity Score Matching (PSM) to solve the endogenous problems. Analysis of the mediating effects using the Structural Equation Model (SEM) showed that caring for grandchildren indirectly contributed to the reduction of depression by increasing the diversity and frequency of participation in social activities. The constant adjustment of China’s fertility policy increases the possibility of the elderly caring for multiple grandchildren, and prolongs their time of caring for grandchildren. The elderly caring for grandchildren is a proactive choice, which continuously relieves the child-rearing stress, and highlights the family value and social value of the elderly. At the same time, raising and accompanying grandchildren makes the elderly’s lives more fulfilling and positive, which in turn promotes participation in social activities, and the mental health of the elderly.