Determinants of health-related quality of life in Iranian adults: evidence from a cross-sectional study

Predicting perceived quality of life through social trust, physical activity, and sense of happiness in Iran: Moderating role of gender

Background and Aims

In Iran, few studies have addressed the moderating effect of gender on determinants of quality of life. This study aimed to determine the effect of social trust, physical activity, and sense of happiness on the perceived quality of life, considering the moderating role of gender.

Methods

This was a population-based cross-sectional study. The statistical population were men and women aged 16 years and above in five western provinces of Iran. The final sample size was estimated to be 1268 people calculated through the correlation coefficient estimation formula, and finally 1185 questionnaires received. Data were analyzed using SPSS and AMOS software.

Results

The mean score of quality of life among women was significantly higher than that of men (p < 0.001). The direct standardized coefficient showed that the sense of happiness (β = 0.40), social trust (β = 0.20), and physical activity (β = 0.12) had a significant effect on the perceived quality of life (p < 0.001). Also, gender had a moderating role in the relationship between sense of happiness and perceived quality of life (z-score = 3.246, p < 0.001). Totally, 21% of the changes in perceived quality of life were explained by three main variables. The main variables were stronger explanatory factors in men (R = 0.26) than in women (R = 0.17).

Conclusions

The final model showed that sense of happiness had the most direct effect on the perceived quality of life, moderated by gender. Considering that the quality of life among men was lower than that among women and the direct effect of happiness on quality of life was more among men than that among women, it is suggested that gender-based health promotion interventions with an emphasis on men be carried out to strengthen the sources of happiness to improve quality of life.

Health-related quality of life variation by socioeconomic status: Evidence from an Iranian population-based study

BACKGROUND

Health-Related Quality of Life (HRQoL) values based on the accurate and reliable European Quality of Life Five Dimension (EQ-5D) questionnaire gives health-state utilities as a helpful data set for studying socio-demographic and socio-economic inequalities in health status in the general population. We aimed to do a population-based study to see how HRQoL varies by socio-demographics and socioeconomic status (SES).

MATERIALS AND METHODS

The study was a cross-sectional population-based study in Shiraz, Iran's southwest. Data was gathered utilizing a personal digital assistant (PDA). A trained interviewer administered the EQ-5D questionnaire to a representative sample of 1036 inhabitants. Principal component analysis (PCA) was used to create SES indices. Because of the skewed distribution, quantile regression was utilized to model the quartiles of HRQoL values. STATA 12.0 was used to perform all statistical analyses. P <0.05 was considered statistically significant.

RESULTS

In 1036 study respondents, women had a mean HRQoL of 0.67 ± 0.28, whereas men had a mean HRQoL of 0.78 ± 0.25. Gender and age remained significant in all quartiles of HRQoL value. Participants with insurance showed 0.14 and 0.08 higher HRQoL values in the first and second HRQoL quartiles than those without coverage, respectively. Education [95% CI: 0.034, 0.111)], economy [95% CI: 0.013, 0.077], and assets [95% CI: 0.003, 0.069] all had an impact on HRQoL value in the lowest quintile.

CONCLUSION

In all quartiles of HRQoL value, women had lower reported HRQoL than men. Insurance programs aimed at more disadvantaged groups with poorer HRQoL may help to minimize inequity. Education, economics, and assets all had an impact on the lower quartiles of HRQoL value, emphasizing the importance of general policies in determining public health status.

Estimating population norms for the health-related quality of life of adults in southern Jiangsu Province, China

Although national health-related quality of life population norms had been published based on the EuroQol 5-Dimensions 5-levels scale, China is a vast country with diverse cultural and social development in various regions. Therefore, regional population norms may better reflect the health status of residents in a given area. The purpose of the study was to derive the HRQoL population norm for adult general population in southern Jiangsu Province using the EQ-5D-5L scale and explore potential influencing factors. The data were based on a cross-sectional survey conducted in Liyang City from March 2019 to July 2020. EQ-5D-5L utility scores based on Chinese value set and EQ-VAS scores were used to assess HRQoL. The Tobit regression model and generalized linear model were performed to identify the association among potential covariates and HRQoL. The means (95% confidence interval) of the EQ-5D-5L utility scores and EQ-VAS scores were 0.981(0.980-0.983) and 83.6(83.2-83.9), respectively. Younger people (≤ 40 years old) were more likely to experience problems with anxiety or depression. Additionally, women had lower HRQoL scores although multivariate analysis found no statistical difference between the sexes. Lower HRQoL was associated with advanced age, lower socioeconomic status, no spouse, lack of regular physical activities, smoking cessation, and chronic non-communicable diseases. Subjects who declared that they were afflicted by diseases presented significantly lower utility scores, ranging from 0.823 (0.766-0.880) for memory-related diseases to 0.978 (0.967-0.989) for hepatic diseases. Regional population norms of HRQoL are needed in the health economic study owing to the great socioeconomic differences across regions in China. The present study provides HRQoL population norms for adults in southern Jiangsu. These norm values could help policy makers better allocate limited health resources and prioritize service plans.

Socio-economic correlates of quality of life in single and married urban individuals: a Polish case study

Background

One of key current social trends is the increasing number of single people. It has multiple implications as single individuals often live and behave differently than those living in relationships. Marital status and socioeconomic status may also be significant quality of life factors for single persons. The aim of this study is to identify relationships between quality of life and selected indicators of socioeconomic status in single and married respondents from the Wrocław metropolitan area in Poland.

Methods

4460 respondents took part in the study (1828 single, 2632 married). The study was cross-sectional based on a diagnostic survey. Data was gathered on respondents’ sex, age, education, marital status, occupational status and financial situation as well as their quality of life and perceived health condition. Frequencies (f) and relative frequencies (rf) of categories of dependent and independent variables were determined. The chi-squared test (χ²) and odds ratio (OR) statistics were applied. The level of statistical significance was set at α = .05.

Results

A stochastic dependence (p ≤ .05) between marital status and perceived health condition and quality of life in the social domain was found among the respondents. Male sex, higher education, being an entrepreneur, college student or white-collar worker, and good financial status were associated with the highest assessments of quality of life and perceived health condition. The directions of quality of life modifications determined by socioeconomic status were similar in single and married urban respondents; however, the strength of these modifications was greater in the latter.

Conclusions

It is recommended to target respondents with public health programs aimed at lifestyle improvement, tailored to the needs of single and married individuals. Public policies directed at improving education and material situation of respondents are also worth considering, as they may be essential for modeling their quality of life. In addition, research on quality of life should be continued, which is particularly relevant in a pandemic situation.

Quality of Life after Motorcycle Traffic Injuries: A Cohort Study in Northwest of Iran

Objective:

To investigate the quality of life (QOL) of injured motorcyclists and associated factors in a period of three months after the accident.

Methods:

In the present study, we were included 190 injured motorcyclists who admitted to two referral specialized hospitals (Emam Reza and Shohada) in Tabriz, between June 2018 and January 2019. All injured motorcyclists were contacted through the telephone one and 171 of them (90%) three months after their accident to complete an EQ-5D-3L questionnaire. The baseline measurements were gathered by using face to face interviews in the hospitals. The QOL score could vary between 1 and 3. The higher score showed a lower QOL.

Results:

The injured motorcyclist’s QOL score was relatively better in three months after the accident (mean±Standard Deviation (SD): 1.78±0.51) in comparison with their status a month after the accident (2.15±0.65) (p<0.001). The multivariable model showed that individuals with pelvis injuries (Coef: 0.29, (95% CI: 0.16, 0.42), p=0.001) and knee injuries (Coef: 0.26, (95% CI: 0.10, 0.42), p=0.001), experienced a higher QOL score. Also, those whose accident had happened in rainy weather experienced higher QOL score (Coef: 0.33, (95% CI: 0.12, 0.53), p=0.001). The patients who were in an accident with a vehicle were experienced a better QOL than others (Coef: -0.26, (95% CI: -0.43, -0.09), p=0.002).

Conclusion:

The assessment of three-months post-accident showed that the QOL score of the motorcyclists was reduced. It is recommended that the QOL of patients should be improved in hospital discharge victims.

Health-related quality of life and health literacy among adult primary care patients with subsidized or contributive health insurance in Colombia

CONTEXT

Colombia passed Law 100 in 1993 with the goal of providing universal health care coverage, and by 2013, over 96% of the Colombian population had health insurance coverage. However, little is known about how health-related quality of life (HRQoL) and health literacy are related among those with the two most common types of health insurance coverage: subsidized (those with lower incomes) and contributory (those with higher incomes) coverage.

OBJECTIVES AND METHODS

In the current exploratory investigation, data from adults visiting six primary care clinics in Colombia were analysed to examine the relationship between HRQoL (assessed as problems with mobility, self-care, completing usual activities, pain/discomfort, and anxiety/depression), demographics, the two health insurance types, and health literacy. Analyses also assessed whether, within insurance types, health literacy was related to HRQoL.

RESULTS

Results showed that those with contributory health insurance coverage had greater health literacy than those with subsidized coverage, and this was accounted for by differences in education and socioeconomic status. HRQoL did not differ by insurance type. Although lower health literacy was related to worse HRQoL in the overall sample, in subgroup analyses lower health literacy significantly related to worse HRQoL only among those with subsidized health insurance coverage.

CONCLUSION

Targeting skills which contribute to health literacy, such as interpreting medical information or filling out forms, may improve HRQoL, particularly in those with subsidized insurance coverage.

Association of smoking status and health-related quality of life: difference among young, middle-aged, and older adults in Shandong, China

PURPOSE

Few studies explored the relationship between smoking status and health-related quality of life (HRQOL) among adults in China. This study aims to explore the relationship between smoking status and HRQOL among adults (18 +) and examine whether there is a difference in this relationship among young, middle-aged, and older adults in China.

METHODS

A total of 23,021 respondents were included in this study. The HRQOL is measured by EQ-5D-3L. The smoking status is divided into never smokers, current smokers, and former smokers. Tobit regression and Logistic regression are employed to explore the association between smoking status and HRQOL. The interaction term is included to explore the difference among young, middle-aged, and older adults.

RESULTS

This study finds smoking status is significantly associated with HRQOL. An interaction analysis shows that the association between smoking status and HRQOL is significantly different among young, middle-aged, and older adults (P < 0.05). The smoking status is only significantly associated with HRQOL in middle-aged and older adults, but not for young adults. Compared with never smokers, former smokers report significantly lower EQ-5D-3L utility value in middle-aged adults (coefficient =  - 0.089; 95%CI - 0.128 to - 0.050), current smokers report significantly higher EQ-5D-3L utility value in older adults (coefficient = 0.041; 95%CI 0.005 to 0.076).

CONCLUSIONS

This study demonstrates a significant association between smoking status and HRQOL among adults in China, and there is a difference in this relationship among young, middle-aged, and older adults. The government should take efforts to formulate a variety of measures to control tobacco use among adults.

Social Determinants of Health-Related Quality of Life among Residents in Zhejiang and Qinghai, China

Social determinants are closely related to health and play a significant role in shaping the quality of life of a population. This study aimed to explore the differences in HRQoL (health-related quality of life) scores of residents in the eastern province of Zhejiang and the western province of Qinghai and probe factors affecting the HRQoL among the two populations. A sample of 4210 residents from a cross-sectional survey was included in the analysis. The EQ-5D-3L instrument was used to measure the HRQoL of residents. A Chi-square test and a t-test were used to examine the differences between different variables and analysis of variance (ANOVA) with interaction effects was used to analyze factors associated with the HRQoL between the two provinces. Residents’ EQ-5D index score (EQ VAS score) was 0.963 (82.71) and 0.962 (81.51), respectively, in Zhejiang and Qinghai. Generally, residents in Qinghai displayed significantly worse HRQoL scores than those in Zhejiang. The differences between the two regions lay on mobility, pain/discomfort, and anxiety/depressions. In both regions, an increased education level and being employed were most strongly associated with a positive HRQoL; increased age and presence of chronic diseases were most strongly associated with a negative HRQoL. When formulating health policies, the significant health disparities between western and eastern provinces must be given greater consideration. The health of vulnerable groups should be particularly focused on to improve the observed health disparities.

Demographic, Life Style and Job-Related Determinants of Quality of Life of Industrial Manufacturing Employees: An Application of Multilevel Latent Class Regression on a Large Cross-Sectional Study

Background

Employees are one of the key elements of an organization and measure the quality of life (QoL) provides reliable assessment of health and wellbeing in this population. This study aimed at investigating the QoL in a large sample of Iranian industrial manufacturing employees and its determinants.

Methods

In a cross-sectional study conducted was in 2015, 3063 people were selected among 16000 Esfahan Seal Company's employees using multistage cluster sampling. QoL was evaluated by EQ-5D questionnaire, mental health by GHQ-12, physical activity by IPAQ, job stress by Effort-Reward Imbalance questionnaire. Self-report questionnaire was used for gathering demographic characteristics. Multilevel latent class regression analysis was used for data analysis using R (3.4.3).

Results

The mean (SD) age of the study participants was 36.74 (7.31), and 91.5% of them were males. The mean (SD) sleep duration was 7.11 (1.17), and 95.4% of the participants had normal mental health. Latent class analysis classified employees into two classes (high (82.4%) and low QoL (17.6%)). Also employees' job categories classified into high and low QoL classes (79.55% and 20.45%, respectively). Latent class regression showed that lower age (OR=0.93; P< 0.0001), being male (OR=1.75; p=0.009), lower levels of education (OR=2.1; P< 0.0001), normal mental health (OR=12.4; P< 0.0001), higher sleep duration (OR=1.2; P< 0.0001) and lower BMI (OR=0.96; P=0.016) were significant predictors of being in high QoL class.

Conclusion

Our study provides data about the QoL of industrial manufacturing employees along with its significant determinants. The findings picture the ways for improving QoL, finally increasing the efficiency and productivity of workforce by directing health policies appropriately.

Depression and Its Association with Health-Related Quality of Life in Postmenopausal Women in Korea

Menopause is associated with depressive symptoms that can significantly affect a woman's quality of life. The objective of this study was to evaluate the association between depression and health-related quality of life (HRQoL) in postmenopausal women. In this cross-sectional descriptive study, participants (n = 3860) were selected from the 2013⁻2015 Korea National Health and Nutrition Examination Survey (KNHANES). The sociodemographic characteristics, medical history of depression, and EQ-5D scores of the participants were obtained from the KNHANES dataset. Age, educational level, and income were associated with HRQoL in these participants. Moreover, depression exerted a considerable influence on HRQoL in postmenopausal women. The adjusted odds ratios in participants with depression for the EQ-5D dimensions were as follows: 5.52 (95% CI = 4.04⁻7.55, p < 0.001) for anxiety/depression, 3.86 (95% CI = 2.78⁻5.36, p < 0.001) for usual activities, and 2.52 (95% CI = 1.68⁻3.78, p < 0.001) for self-care. Our findings suggest a strong association between depression and HRQoL. Hence, preventing the onset or exacerbation of depression may significantly improve quality of life in postmenopausal women.

What Explains Socioeconomic Inequality in Health-related Quality of Life in Iran? A Blinder-Oaxaca Decomposition

OBJECTIVES

This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran.

METHODS

This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups.

RESULTS

The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect.

CONCLUSIONS

We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.

Socioeconomic Inequalities in Poor Health-Related Quality of Life in Kermanshah, Western Iran: A Decomposition Analysis

Background: Socioeconomic status (SES) is an important determinant of health-related quality of life (HRQoL). We aimed to quantify socioeconomic-related inequality in poor-HRQoL among adults in Kermanshah, western Iran.

Study design: A cross-sectional study.

Methods: Overall, 1730 adults (18-65 yr) were selected using convenience sampling from Kermanshah, Iran. A self-administrated questionnaire was used to collect data on socio-demographic characteristics, SES, lifestyle factors and HRQoL of participants over the period between May and Aug 2017. The concentration curve and concentration index (C) were used to illustrate and measure wealth-related inequality in poor-HRQoL. Additionally, we decomposed the C index to identify factors explaining wealthrelated inequality in poor-HRQoL.

Results: The overall prevalence of poor-HRQoL was 35.3% (95% confidence interval[CI]: 33.1%, 37.6%). The poor-HRQoL was mainly concentrated among the poor adults (C=-0.256, 95% CI: -0.325, -0.187). Poor-HRQoL was concentrated among men (C=-0.256, 95% CI: -0.345, -0.177) and women (C=-0.261, 95% CI: -0.310, -0.204). Wealth, physical inactivity, the presence of chronic health condition(s), lack of health insurance coverage were the main factors contributing to the concentration of poor-HRQoL among socioeconomically disadvantaged adults.

Conclusions: Socioeconomic-related inequalities in poor-HRQoL among adult should warrant more attention. Policies should be designed to not only improve HRQoL among adults but also reduce the prorich distribution of HRQoL among adults in Kermanshah.