A population-based study on health-related quality of life among urban community residents in Shenyang, Northeast of China

Health-related quality of life assessed by EQ-5D-5L and its determinants among Chinese adults

Background

Due to the rising standard of living and advances in public health and medical care in recent years in China, the health-related quality of life (HRQoL) has been increasingly acknowledged as an important part of health management of adults. This study aimed to analyze the HRQoL of Chinese adults and identify the influencing factors, proposing specific recommendations for improvement.

Methods

A cross-sectional study was conducted among 1,291 selected adults from four provinces spanning different regions in China aged ≥18 years from July 2021 and January 2022. The EuroQol-5D-5L (EQ-5D-5L) was used to conduct the HRQoL survey, and a general questionnaire was administered to collect demographic characteristics, general information, and health behaviors of participants. The health utility value was measured, and one-way analysis of variance was performed. The Tobit regression model was employed to analyze the factors influencing the HRQoL of Chinese adults.

Results

The mean health utility values and visual analog scale scores for adults were 0.9400 ± 0.1197 and 84.09 ± 14.392, respectively. Notably, 60.3% of respondents reported no difficulties in any of the five dimensions of EQ-5D. However, a substantial proportion faced challenges in anxiety/depression (27%) and pain/discomfort (26.2%). Tobit regression model revealed that age, marital status, educational level, diet, sleep, mental state, mood, and chronic diseases significantly impact the HRQoL of Chinese adults.

Conclusion

The HRQoL among Chinese adults is generally satisfactory, but pay particular attention on areas such as pain, psychological anxiety, chronic diseases, and negative emotions is needed. The factors such as stress associated with marriage and the demands of high-skilled occupations might influence the overall health of the population. According to our findings, public health strategies to improve HRQoL should be developed to promote relatively healthy environments and lifestyles for older adults. Moreover, proactive measures are crucial for mitigating the potential health impacts associated with marital stress and high-skilled employment.

Assessing health-related quality of life of Chinese population using CQ-11D

PURPOSE

This study aimed to assess the health-related quality of life (HRQoL) of the Chinese population by using the Chinese medicine quality of life-11 dimensions (CQ-11D) questionnaire and to identify factors associated with HRQoL.

METHODS

The data was derived from a survey conducted by the Institute of Pharmacoeconomics Evaluation at Beijing University of Chinese Medicine on the quality of life of the Chinese population. The sex and age of respondents were considered through quota sampling. Demographic, socioeconomic, and health indicators were collected using the structured questionnaire. We performed bivariate analyses first to examine the associations between the above factors and the HRQoL of respondents measured by the CQ-11D. Multivariate linear regression and ordinal logistic regression models were established to analyze the factors (demographic, socioeconomic, and health indicators) differences in HRQoL, as well as the risk of each group reporting problems across the 11 dimensions of CQ-11D.

RESULTS

From February 2021 to November 2022, a total of 7,604 respondents were involved and 7,498 respondents were included. The sample approximated the general adult Chinese population in terms of age, sex, and district of residence, and each geographic distribution ranged from 9.71 to 25.54%. Of the respondents, 45.84% were male, and 89.82% were Han ethnicity. The mean utility score ranged from 0.796 to 0.921 as age increased. According to the respondents, most health problems were identified in the PL (fatigue) (70.16%) and SM (quality of sleep) (63.63%) dimensions. The CQ-11D index scores varied with the demographic and socioeconomic characteristics of respondents, except for ethnicity (p > 0.05) and income (p > 0.05). The multivariate analysis revealed significant negative associations between health utility scores and various factors. These factors include sex (female), age over 65, belonging to ethnic minorities, rural household registration, being widowed or divorced, having a primary school education or below, being a student or unemployed, having a low income of 0-1,300, engaging in smoking or drinking, limited participation in physical activities, experiencing changes in self-perceived health status compared to the previous year, and having chronic diseases. The odds of respondents reporting problems in 11 dimensions varied among different socio-demographic groups.

CONCLUSIONS

This study reports the first Chinese population norms for the CQ-11D derived using a representative sample of the Chinese general population. Self-reported health status measured by the CQ-11D varies among different socio-economic groups. In addition to participation a physical activity and the presence of chronic disease, smoking and drinking also significantly influence HRQoL.

Associations between air pollution, intracellular-to-extracellular water distribution, and obstructive sleep apnea manifestations

Background

Exposure to air pollution may be a risk factor for obstructive sleep apnea (OSA) because air pollution may alter body water distribution and aggravate OSA manifestations.

Objectives

This study aimed to investigate the mediating effects of air pollution on the exacerbation of OSA severity through body water distribution.

Methods

This retrospective study analyzed body composition and polysomnographic data collected from a sleep center in Northern Taiwan. Air pollution exposure was estimated using an adjusted nearest method, registered residential addresses, and data from the databases of government air quality motioning stations. Next, regression models were employed to determine the associations between estimated air pollution exposure levels (exposure for 1, 3, 6, and 12 months), OSA manifestations (sleep-disordered breathing indices and respiratory event duration), and body fluid parameters (total body water and body water distribution). The association between air pollution and OSA risk was determined.

Results

Significant associations between OSA manifestations and short-term (1 month) exposure to PM_2.5 and PM₁₀ were identified. Similarly, significant associations were identified among total body water and body water distribution (intracellular-to-extracellular body water distribution), short-term (1 month) exposure to PM_2.5 and PM₁₀, and medium-term (3 months) exposure to PM₁₀. Body water distribution might be a mediator that aggravates OSA manifestations, and short-term exposure to PM_2.5 and PM₁₀ may be a risk factor for OSA.

Conclusion

Because exposure to PM_2.5 and PM₁₀ may be a risk factor for OSA that exacerbates OSA manifestations and exposure to particulate pollutants may affect OSA manifestations or alter body water distribution to affect OSA manifestations, mitigating exposure to particulate pollutants may improve OSA manifestations and reduce the risk of OSA. Furthermore, this study elucidated the potential mechanisms underlying the relationship between air pollution, body fluid parameters, and OSA severity.

Association between lifestyle behaviors and health-related quality of life among primary health care physicians in China: A cross-sectional study

Background

Primary health care (PHC) serves as the gatekeeper of health system and PHC physicians take on significant obligations to provide health care services in the pursuit of Universal Health Coverage (UHC). PHC physicians' health-related quality of life (HRQoL) can have a strong impact on patients, physicians and the health care system. Lifestyle interventions are found to be effective to improve HRQoL. The purpose of this study was to evaluate the association between lifestyle behaviors and HRQoL among PHC physicians, so that lifestyle intervention can be tailored by policy makers for health promotion.

Methods

A survey covering 31 provinces and administrative regions in China was conducted in 2020 using a stratified sampling strategy. Data on sociodemographic characteristics lifestyle behaviors and HRQoL were collected by a self-administered questionnaire. HRQoL was measured through EuroQol-five dimension-five level (EQ-5D-5L) instrument. A Tobit regression model was performed to evaluate the association between sociodemographic characteristics, lifestyle behaviors and HRQoL.

Results

Among 894 PHC physicians who completed the survey, Anxiety/Depression (AD) was the dimension with the most problems reported (18.1%). Regular daily routine (β = 0.025, 95%CI 0.004 to 0.045) and good sleep quality (β = 0.049, 95% CI = 0.029 to 0.069) were protective factors for HRQoL, while smoking (β = −0.027, 95% CI = −0.079 to −0.003) and frequency of eating breakfast (β = −0.041, 95%CI = −0.079 to −0.003) were negatively associated with HRQoL. Physical activity and alcohol drinking were not significantly associated with HRQoL.

Conclusion

These findings suggest that tailored interventions on daily routine, improving sleep quality, and tobacco control among PHC physicians may be effective strategies to improve their HRQoL.

A Community-Based Study on Functional Disability and Its Associated Factors Among Elderly Individuals in a Rural Setting in Northeastern India

Background

Functional disability in older adults is common and adversely impacts the quality of life. Given the paucity of population-based data, the present analysis attempted to determine the prevalence and factors associated with functional disability in basic activities of daily living (ADLs) among the elderly population in a rural setting of Northeastern state of India

Methods

A total of 430 elderly were recruited in a population-based cross-sectional study among elderly individuals (≥60 years) during the period 2013-2016 in rural areas of the Dibrugarh district of Northeastern India. The Barthel index was used to measure ADL. Anyone with a Barthel index score <100 (or having limitations in one or more ADL items) were considered as having a functional disability. The analysis of variance (ANOVA) test and the binary logistic regression analysis were used to examine the factors associated with functional disability.

Results

Overall, 43.7% % (Male 42.9%, Female 44.5%) of the participants had a functional disability. Increasing age, being widowed, having no formal education, being underweight (body mass index (BMI)<18.5 kg/m²), and increasing numbers of morbidities were significantly associated with functional disability among the elderly in this study in age and gender-adjusted logistic regression analysis. Being ≥80 years was associated with a three-fold greater risk (OR=31.72, 95% CI=1.3-6.91) of functional disability than the youngest age group (60-69 years). On the other hand, the presence of more than five morbidities was associated with a nearly 20 times increased risk (OR=19.61, 95% CI=9.01-42.68) than those with zero to two morbidities.

Conclusion

A high proportion of the rural elderly residents of Dibrugarh had a functional disability. The study provides epidemiological evidence of the risk factors of functional disability in this setting. This epidemiological information may be useful for developing prevention strategies to reduce the burden of functional disability.

Health-related quality of life of middle-aged and elderly people with hypertension: A cross-sectional survey from a rural area in China

OBJECTIVE

To evaluate health-related quality of life (HRQoL) of middle-aged and elderly people with hypertension in Enshi, China, and to explore the important correlates defining HRQoL.

METHODS

From April through July 2018, a self-monitoring intervention program for hypertension control was implemented in a remote area of central China. Participants completed a cross-sectional survey which included demographic characteristics, the Health-related Quality of Life Survey, and the Pittsburgh Sleep Quality Index Survey. Univariate analysis was performed by analysis of variance, and multiple linear regression analysis was used to analyze the influencing factors of HRQoL in middle-aged and elderly hypertensive patients. In the multivariate analysis, the variables with P≤0.05 in the single factor analysis were combined with the professional significance to establish a multiple linear regression model.

RESULTS

Information from 500 participants was available for analysis. Among them, the scores of PCS and MCS was 31.66 ± 9.50 and 41.38 ± 10.69, respectively. Multivariable regression analyses showed that higher education and sleep quality, and moderate physical activity (30 minutes for at least five days a week) had a positive influence on PCS scores. Higher monthly family income (3,000-5,000 ¥) and sleep quality, regular tea-drinking, having 30 minutes of moderate physical activity at least five days a week were positively associated with MCS scores.

CONCLUSION

The overall HRQoL for rural middle-aged and elderly hypertensive patients in Xuan'en county of Hubei province was poor. Effective relevant measures for the above factors were urgently needed to improve the quality of life for the elderly in rural areas. Awareness of these relevant factors could help health care professionals provide better supportive care.

Health-related quality of life and determinants in North-China urban community residents

BACKGROUND

The objectives of this study were to investigate the HRQoL of residents living in central urban areas (CUA) and developing neighborhoods (DN) areas of North-China and to examine the relationship between health conditions and the physical and mental components of quality of life.

METHODS

A stratified random sample was taken and health survey scoring system questionnaire SF-36 was used to conduct the HRQoL survey among community residents in the two selected districts in 10 cities. A general questionnaire was also administered with questions that collected general information, population demographic characteristics and health behaviours, social relationships and perception of life satisfaction.

RESULTS

Five thousand eight hundred eighty-one questionnaires were returned from 6059 invitations with a effective response rate of 97%. The residents in DN had a higher score of physical function, role limitation due to physical problems and vitality than those living in CUA. The prevalence of several chronic diseases was lower in DN's residents than CUA's residents. Age, presence/absence of chronic diseases, leisure time exercise, regular daily routine, sleep quality, appetite, family and social relationships and life satisfaction were significant determinants of HRQoL.

CONCLUSIONS

Residents living in newly developed neighborhoods in China while keeping some habits and lifestyles of their original rural communities are healthier in terms of chronic diseases and HRQoL. Together with other risk factors chronic diseases are an important determinant on HRQoL. Several healthy habits and behaviors such as having a regular daily routine and exercising during leisure time improved HRQoL in Chinese urban communities. Targeted policies of public health based on these findings can better the health-related quality of life.

The differences in self-perceptions of aging, health-related quality of life and their association between urban and rural Chinese older hypertensive patients

Background

Most hypertensive clients are elderly, whose health-related quality of life (HRQL) may be associated with self-perceptions of aging (older individuals’ beliefs about their own aging). Meanwhile, culture and health disparities between rural and urban populations are substantial. Whether there are differences in self-perceptions of aging, HRQL, and their association among elderly hypertensive clients in urban and rural areas remains unknown. The objective of this study was to investigate and compare self-perceptions of aging and HRQL and their association among urban and rural older Chinese hypertensive clients.

Methods

A cross-sectional investigation was conducted in 15 urban community clinics and 22 village clinics from Suzhou, China. Older hypertensive adults were invited to complete a self-administered questionnaire addressing socio-demographic and clinical information, HRQL and self-perceptions of aging.

Results

There were 492 urban participants and 537 rural participants included in the analyses. The physical (40.0 ± 12.1 vs. 30.9 ± 8.9, P <  0.001) and mental (51.5 ± 8.3 vs. 46.0 ± 7.8, P <  0.001) HRQL scores of urban participants were all higher than those of rural ones. Urban participants’ scores on dimensions of “timeline cyclical”, “consequences negative”, and “control negative” of self-perceptions of aging questionnaire (APQ) were lower than those of rural participants (P <  0.001, respectively), while the scores on dimensions of “consequences positive” and “control positive” were higher (P <  0.001, respectively). Adjusted multivariate linear regression showed that participants who had worse self-perceptions of aging had poorer HRQL. Some APQ dimensions associated with urban or rural hypertensive elders’ HRQL were different.

Conclusions

Older hypertensive clients in rural areas have poorer self-perceptions of aging and HRQL than those in urban areas. Health care professionals should pay more attention to HRQL and self-perceptions of aging of older hypertensive clients in rural areas.

Association between social health status and health-related quality of life among community-dwelling elderly in Zhejiang

Background

Population aging is an inevitable trend and previous studies have showed the relationship between social health related factors and health-related quality of life (HR-QOL) in the elderly. The objective of this study is to investigate the association of social health status with HR-QOL among community-dwelling elderly in Zhejiang.

Methods

This cross-sectional study was based on community-dwelling elderly individuals from July 2018 to September 2018 in Zhejiang, China. HR-QOL was measured by the 12-item Short-Form Health Survey (SF-12). Social health status was estimated by the long-form of the Social Health Scale for the Elderly (SHSE-L) and classified into three categories (poor, moderate and good). Multivariable linear regression models were conducted to evaluate the association between social health status and HR-QOL (PCS, MCS and SF-12 total score).

Results

A total of 2952 elderly participants were included in this study. The mean age was 70.68 ± 7.75 years (mean ± SD); of the eligible participants, more than half (50.4%) were females; the mean scores were 48.10 ± 8.49, 47.70 ± 7.09 and 47.90 ± 5.86 for PCS, MCS and SF-12 total score, separately. Results from the multivariable models showed that social health status was positively related to HR-QOL after adjusting for covariates. Compared with individuals with a poor social health status, those who had a moderate or good social health status were more likely to report better HR-QOL (for moderate social health status: β = 1.90(95%CI: 1.09, 2.71) for PCS, β = 1.78(1.08, 2.48) for MCS, β = 1.84(1.29, 2.39) for SF-12 total score; for good social health status: β = 3.29(2.24, 4.34) for PCS, β = 3.10(2.12, 4.01) for MCS, β = 3.20(2.48, 3.91) for SF-12 total score).

Conclusion

In our study, we found that social health status was positively associated with HR-QOL among the elderly in Zhejiang. Our findings could provide valuable information for decision-makers to develop interventions to improve the HR-QOL of the elderly.

Bio-social determinants of health-related quality of life of middle aged (45-59 years) population in India

Purpose

Inadequate research on midlife health-related quality of life particularly in low-and-middle-income countries has often led to poor recognition of the issues in health programmes and policy. To address these concerns, this study was aimed at examining health-related quality of life and its determinants in middle-aged (45–59 years) men and women in low-resource settings in India.

Methods

Data on health-related quality of life and other relevant parameters were collected from 1112 individuals between 45 and 59 years of age from an urban agglomeration of Pune, India. Independent t-test was used to determine the association between means of Short Form-12 and other variables. Multilinear regression analyses were conducted to study the direction of these associations.

Results

The mean physical and mental component scores were 45.33 (±8.88) and 51.48 (±9.87), respectively. After adjusting for other variables, functional impairment emerged as a common factor that was negatively associated with physical and mental component scores of men (PCS: −5.557, 95%CI = −6.793 to −4.322; MCS:−1.816, 95% CI = −3.443 to −0.189) and women (PCS: −7.985, 95%CI = −9.782 to −6.188; MCS;  = −2.289, 95% CI = −4.160–0.419). Good life satisfaction was positively associated with physical scores in men (2.300, 95%CI =  1.180 to 3.421) and mental scores in women (3.066, 95%CI  =  1.333 to 4.798). Unemployment, sitting hours (>3) and no physical activity affected men, while lower education, marital status, body mass index and chronic illness affected health-related quality of life of women at midlife.

Conclusions

Functional decline, level of life satisfaction and stress affected health-related quality of life of middle-aged individuals in India.

Sociodemographic variations in health-related quality of life (HRQOL) among elderly individuals in an urban locality in India

Background:

Elderly population is growing rapidly in India. To direct public health actions to improve quality of life among elderly, it is important to understand the sociodemographic factors associated with quality of life. The aim of study was to assess health-related quality of life (HRQOL) among urban elderly in a setting of Assam, India, and to examine how HRQOL varied across different sociodemographic groups among the elderly populations.

Materials and Methods:

A cross-sectional study was carried among elderly aged ≥60 involving 300 participants. Eight domains of HRQOL of participants were measured using RAND SF-36. Analysis of variance test was used to examine sociodemographic differences in HRQOL.

Results:

The BP domain had highest (71.78 ± 22.25) and GH had lowest mean HRQOL score (48 ± 16.93). Males had significantly higher HRQOL score than females only in BP domain. Age gradients were observed with respect to HRQOl scores in five domains, with youngest age group having the best and oldest age group having the poorest HRQOL. Financially dependent subjects had lower HRQOL in five domains than those who were financially independent. Significant associations between education and HRQOL were found only in physical components of HRQOL, with lowest educated group being the most disadvantaged in terms of HRQOL. Marital status was found to be significantly associated with lower HRQOL scores.

Conclusion:

The study highlights sociodemographic inequalities in HRQOL among urban elderly in an Indian setting. The results may help reducing sociodemographic health inequalities among elderly in this region initiating public health actions paying more attention toward more vulnerable sections of populations.

Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China

OBJECTIVES

Sickness situation in the past two weeks, an indicator of health service needs, is an increasing major health concern. However, data on the relationship between obesity and two-week morbidity in the female population, particularly in middle-aged and elderly women, is sparse. The present study aimed to examine the association between obesity and two-week morbidity among middle-aged and elderly women in Southern China, and to explore the independent contributions of socio-demographic variables, health-related factors, and obesity to two-week morbidity.

METHODS

In total, 2364 middle-aged and elderly women were included in this cross-sectional, community-based survey. Obesity was assessed using body mass index (BMI). The outcome variable was sickness situation over the past two weeks (two-week morbidity). Clustered logistic regression was applied to analyze the independent contribution of obesity to two-week morbidity.

RESULTS

Approximately 14.6% of participants experienced sickness in the past two weeks. Obesity (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.02-2.12) was significantly associated with two-week morbidity and its independent contribution accounted for 3.7%, lower than that of socio-demographic variables (73.7%) and health-related factors(22.6%).

CONCLUSIONS

Some degree of correlation was observed between obesity and two-week morbidity among middle-aged and elderly women in Southern China, which can be used as a reference for health-related decision-making.

Socio-Demographic Determinants of Health-Related Quality of Life in Tehran Lipid and Glucose Study (TLGS)

BACKGROUND

Health-related quality of life (HRQOL) is a multi-dimensional concept that is affected by different variables. A large body of evidence shows that socio-demographic factors have a significant influence on HRQOL. When considering differences in cultural contexts and social values of various countries and the lack of evidence regarding socio-demographic determinants of HRQOL among the Iranian general population, it is important to verify the main socio-demographic determinants of HRQOL in an urban Iranian population.

OBJECTIVES

This study aimed to explore socio-demographic factors associated with HRQOL and to ascertain the determinants of poor HRQOL in participants of the Tehran lipid and glucose study (TLGS).

METHODS

The participants included 3491 adults, aged ≥ 20 years, who had participated in the TLGS. To obtain socio-demographic and HRQOL information, participants were interviewed by trained interviewers. Mean HRQOL scores were compared using the student's t test and analysis of variance (ANOVA). To determine significant determinants of poor HRQOL, multivariate logistic regression analysis was performed.

RESULTS

Mean ages of males and females were 47.7 ± 15.6 and 47.8 ± 14.2 years, respectively and 58.6% of participants were male. Males had significantly higher scores compared to females in both the physical and mental domains of HRQOL (P < 0.001). In males, significant determinants of poor physical HRQOL were older age, being married, being unemployed yet having other sources of income, having literacy levels below high school diploma, and having chronic diseases (P < 0.05). In females, however older age and being housewives were significant determinants of poor physical HRQOL (P < 0.05). In addition, significant determinants of poor mental HRQOL were younger age and being single or divorced/widowed in males and younger age and being illiterate as well as having literacy levels below high school diploma in females (P < 0.05).

CONCLUSIONS

Current findings highlight the importance of socio-demographic determinants of HRQOL in both genders, specifically in the physical domain, and demonstrate their roles to be more prominent in males. These findings highlight gender-specific associations between socio-demographic factors and various aspects of HRQOL among the TLGS population, which could be applied in future research focusing on non-communicable diseases and planning health promotion programs.