SRH and HrQOL: does social position impact differently on their link with health status?

Health-Related Quality of Life Among Irregular Sub-Saharan Migrants in Northern Morocco

INTRODUCTION

Due to its geographical proximity to Europe, Morocco experiences a significant influx of migrants from neighboring Sub-Saharan African countries. Attempts to cross the Strait of Gibraltar make Northern Morocco a stopover for Sub-Saharan migrants. However, faced with increasingly restrictive measures from European Union countries, many of these migrants are compelled to turn this transit into a prolonged stay in Morocco, often in irregular status and facing challenging socio-economic conditions that threaten their health and their quality of life-related to health. This study aims to assess the level of health-related quality of life and its determinants among irregular Sub-Saharan migrants in Northern Morocco using the 36-Item Short Form Survey (SF-36) measurement scale.

METHOD

A total of 526 irregular Sub-Saharan migrants residing in the cities of Tangier and Tetouan were recruited using snowball sampling. A socio-demographic information sheet and the SF-36 scale were used to collect data. Subsequently, the data were entered and statistically analyzed using Statistical Product and Service Solutions (SPSS, version 21.0; IBM SPSS Statistics for Windows, Armonk, NY). Numerical variables were summarized as mean ± standard deviation and categorical variables as frequency and percentage. Non-parametric tests, including the Mann-Whitney U test and Kendall's Tau-B, were used to measure the association of physical and mental component scores with sociodemographic variables, for a significance level set at p < 0.05. Multivariate logistic regression was conducted to identify factors determining health-related quality of life, using odds ratios (OR) and a 95% confidence interval (CI) for p < 0.05.

RESULTS

Participants were aged between 18 and 50 years, with a mean age of 29.7 ± 7.6 years; 80% were single, and the majority were male (63.7%). In terms of education, 57.2% have a secondary level. The physical (PCS = 46.5 ± 9.03) and mental (MCS = 35.5 ± 9.9) summary scores were low. PCS and MCS were lower among subjects aged ≥ 36 years compared to those aged 18-25 years (p = 0.000). Women had lower PCS than men (p = 0.002). The migrants having more than three years in Morocco had lower MCS compared to those recently settled (p = 0.002). PCS and MCS were lower among participants who were assaulted compared to those who were not (p = 0.000). Multivariate logistic regression results showed that age, type of habitat, and assault significantly affected both PCS and MCS scores. Gender is a significant determinant for PCS and duration of stay in Morocco for MCS.

CONCLUSION

The quality of life of Sub-Saharan irregular migrants appears to be low, particularly concerning the mental health component, highlighting the need for priority interventions in this area to improve their health status.

Trends and social inequalities in self-reported health and activity limitations in France between 2017 and 2021: results from four nationwide representative surveys

BACKGROUND

Like other countries in Europe and around the world, France was hit by the COVID-19 pandemic in 2020, although it had also experienced several social crises since 2017. This study assessed the evolution of self-reported health and activity limitations and explored the dynamics of their socio-territorial inequalities among the French population aged 18-75 years between 2017 and 2021.

METHODS

Self-reported health (SRH) and global activity limitation indicator (GALI) were assessed in the same way in the four last editions of the French Health Barometer surveys conducted in the general population in 2017, 2019, 2020, and 2021, with between 9,200 and 24,500 subjects interviewed depending on the year. The prevalence of good or very good SRH and GALI (any limitation) and their evolution between 2017 and 2021 were studied according to sex, age, main socioeconomic positions (SEP), and regions. Poisson regression models were used to estimate adjusted prevalence ratios and potential modification effects of sociodemographic and geographic characteristics.

RESULTS

Between 2017 and 2021, SRH and GALI deteriorated in adults in France in a continuous way. Very good or good SRH decreased from 75.2% (CI95% [74.5-75.9]) of subjects in 2017 to 68.5% (CI95% [67.7-69.3]) in 2021. In parallel, GALI increased from 21.5% (CI95% [21.0-22.2) in 2017 to 25.2% (CI95% [24.5-26.0]) in 2021.The deterioration of indicators affected both sexes, all age classes (except 65-75 years), especially younger age classes (18-24 and 25-34 years), all geographical regions, and all SEP variables, with groups with a higher SEP deteriorating more than others. Negative variations exceeding 20% (8-10 percentage points on the absolute scale of indicators) were observed in several population groups from 2019 onwards.

CONCLUSION

The previously observed deterioration of the SRH and GALI continued in France between 2017 and 2021, with narrowing socio-territorial gradients of inequalities. The impact of successive social and health crises on the poor evolution of self-reported health and activity limitations warrants further investigation over time and across locations using complementary and possibly more detailed indicators.

Quality of life in south-eastern Australia: normative values for the WHOQOL-BREF in a population-based sample of adults

OBJECTIVES

The abbreviated World Health Organisation Quality of Life tool (WHOQOL-BREF) is a short-form quality of life (QoL) assessment commonly used worldwide in both healthy and ill populations. Normative data for the Australian general population are limited. The objective of this study was to present normative data for the WHOQOL-BREF based on a general population sample. A secondary aim was to explore sociodemographic factors related to QoL.

DESIGN

Population-based cross-sectional study.

PARTICIPANTS

929 men and 830 women aged 24-94 years participating in the Geelong Osteoporosis Study.

OUTCOME MEASURES

The 26-item WHOQOL-BREF.

RESULTS

Means and SD for each domain are presented by age group and sex. Percentile scores were also generated. Mean scores for WHOQOL-BREF domains were 74.52 (SD=16.22) for physical health, 72.07 (SD=15.35) for psychological, 72.87 (SD=18.78) for social relationships and 79.68 (SD=12.55) for environment. We identified significant associations between sociodemographic factors and WHOQOL-BREF domains. Notably, being married or in a relationship was associated with increased odds for high QoL across all four WHOQOL-BREF domains: physical health (women OR 2.46, 95% CI 1.36 to 4.44, p=0.003), psychological (men OR 2.07, 95% CI: 1.20 to 3.55, p=0.009; women OR 2.15, 95% CI 1.21 to 3.81, p=0.009), social relationships (men OR 2.28, 95% CI 1.29 to 4.04, p=0.005; women OR 2.77, 95% CI 1.42 to 5.41, p=0.003) and environment (women OR 2.07, 95% CI 1.13 to 3.80, p=0.019).

CONCLUSIONS

This study provides population norms for the WHOQOL-BREF based on a representative sample of Australian adults. Our results will be useful to researchers and clinicians who can use these data as a reference point for interpreting WHOQOL-BREF scores.

Decomposition and comparative analysis of health inequities between the male and female older adults in China: a national cross-sectional study

BACKGROUND

This study aimed to examine the factors influencing self-rated health (SRH) among Chinese older adults by gender differences and provide suggestions and theoretical references to help make policies for older adults' health concerns by government agencies.

METHODS

Chinese Longitudinal Health Longevity Survey (CLHLS) in 2018 was adopted, the chi-squared test and the logistic regression analysis were performed to analyse self-rated health reported by Chinese female and male older adults and its influencing factors. In addition, Fairlie decomposition analysis was performed to quantify the contribution level of different influencing factors.

RESULTS

Among older adults, males (48.0%) reported a significantly higher level of good self-rated health than females (42.3%). Residence, body mass index (BMI), self-reported income, smoking, drinking, exercise, and social activity were the factors that influenced SRH reported by male and female respondents, with age, marital status and education reaching the significance level only in women. The Fairlie decomposition model can explain the underlying reasons for 86.7% of the gender differences in SRH, with self-reported income (15.3%), smoking (32.7%), drinking (42.5%), exercise (17.4%), social activity (15.1%) and education (-14.6%) being the major factors affecting gender differences in SRH.

CONCLUSIONS

The study results can help promote the implementation of the Healthy China Initiative, inform intervention measures, and offer new proposals on creating policies for older adults' health issues by the Chinese government to improve health equity.

Cumulative social disadvantage and health-related quality of life: national health interview survey 2013-2017

BACKGROUND

Evidence for the association between social determinants of health (SDoH) and health-related quality of life (HRQoL) is largely based on single SDoH measures, with limited evaluation of cumulative social disadvantage. We examined the association between cumulative social disadvantage and the Health and Activity Limitation Index (HALex).

METHODS

Using adult data from the National Health Interview Survey (2013-2017), we created a cumulative disadvantage index by aggregating 47 deprivations across 6 SDoH domains. Respondents were ranked using cumulative SDoH index quartiles (SDoH-Q1 to Q4), with higher quartile groups being more disadvantaged. We used two-part models for continuous HALex scores and logistic regression for poor HALex (< 20th percentile score) to examine HALex differences associated with cumulative disadvantage. Lower HALex scores implied poorer HRQoL performance.

RESULTS

The study sample included 156,182 respondents, representing 232.8 million adults in the United States (mean age 46 years; 51.7% women). The mean HALex score was 0.85 and 17.7% had poor HALex. Higher SDoH quartile groups had poorer HALex performance (lower scores and increased prevalence of poor HALex). A unit increase in SDoH index was associated with - 0.010 (95% CI [-0.011, -0.010]) difference in HALex score and 20% higher odds of poor HALex (odds ratio, OR = 1.20; 95% CI [1.19, 1.21]). Relative to SDoH-Q1, SDoH-Q4 was associated with HALex score difference of -0.086 (95% CI [-0.089, -0.083]) and OR = 5.32 (95% CI [4.97, 5.70]) for poor HALex. Despite a higher burden of cumulative social disadvantage, Hispanics had a weaker SDoH-HALex association than their non-Hispanic White counterparts.

CONCLUSIONS

Cumulative social disadvantage was associated with poorer HALex performance in an incremental fashion. Innovations to incorporate SDoH-screening tools into clinical decision systems must continue in order to accurately identify socially vulnerable groups in need of both clinical risk mitigation and social support. To maximize health returns, policies can be tailored through community partnerships to address systemic barriers that exist within distinct sociodemographic groups, as well as demographic differences in health perception and healthcare experience.

Trajectories of Health-related quality of life in patients with Advanced Cancer during the Last Year of Life: findings from the COMPASS study

Background

Patients with advanced cancer prioritise health-related quality of life (HrQoL) in end-of-life care, however an understanding of pre-death HrQoL trajectories is lacking. We aimed to delineate and describe the trajectories of physical, social, emotional and functional HrQoL during last year of life among advanced cancer patients. We assessed associations between these trajectories and patient socio-demographic characteristics, healthcare use and place of death.

Methods

We used data from 345 decedents from a prospective cohort study of 600 patients with a solid advanced cancer receiving secondary care at public hospitals in Singapore. Patients were surveyed every three months until death and HrQoL was assessed using the Functional Assessment of Cancer Therapy – General (FACT-G) questionnaire. Interviews were conducted between July 2016 and December 2019. Group-based multi-trajectory modelling was used to assess potential heterogeneity in the four HrQoL dimensions during patients’ last year of life.

Results

We identified four distinct trajectories of HrQoL − (1) overall high HrQoL (47% of sample), (2) progressively decreasing HrQoL (32%), (3) asymmetric decline in HrQoL (13%), (4) overall low HrQoL (8%). Compared to patients with secondary or above education, those with primary education or less (β = 1.39, SE = 0.55, p-value = 0.012) were more likely to have “progressively decreasing HrQoL” or “overall low HrQoL” in contrast to “overall high HrQoL”. Compared to patients with ‘overall high HrQoL’, those with ‘overall low HrQoL’ had longer length of hospital stay during the last year of life (β = 0.47, SE = 0.21, p-value = 0.026) and were more likely to die in a hospice/care home (β = 1.86, SE = 0.66, p-value = 0.005).

Conclusion

Our results showed heterogeneity in deterioration of HrQoL among patients with advanced cancer in the last year of life. Systematic monitoring of HrQoL, early identification and referral of high-risk patients to palliative care may provide timely relief and mitigate the steep decline in their HrQoL.

Trial Registration

: NCT02850640.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-022-01075-3.

Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article

Background

Social inequalities in health threaten social cohesion and their investigation is an important research field. Monitoring the health of the population is necessary to identify health needs, design programs focused in people’s needs and to evaluate the effectiveness of health policies.

Methods

A cross-sectional survey using primary data was applied. The study investigated the size and the extent of social inequalities in quality of life and health behaviours in Limassol, Cyprus. Data collection was done door-to-door in the form of survey interviews. The sample consisted of 450 residents aged 45–64 across 45 randomly selected neighbourhoods, that met the selection criteria. The tools used were: Demographic questionnaire, SF 36 Questionnaire, IPAQ- International Physical Activity Questionnaire short form.

Results

The social gradient appears in all social indicators. Physical dimension of health has a strong relationship between health-related quality of life with the education index. Specifically, the range is 12 points for males and 14 points for females (p for interaction = 0.16). Profession systematically appears to have a stronger relationship with men than with women, and is present in both physical and mental dimensions. The range is 13 points for men and 10 points for women (p for interaction = 0.31).

Conclusions

It seems that young highly educated males, employed full time, earning high income and engaging in mild physical activity, have significantly higher level of health-related life quality, compared to other middle age adult groups, living in Limassol. This finding is in agreement with other studies that show correlations between gender and the patterns of risk factors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-020-10027-6.

To what extent do socioeconomic inequalities in SRH reflect inequalities in burden of disease? The HELIUS study

BACKGROUND

Self-rated health (SRH), an attractive measure for health monitoring, shows persistent inequalities with regard to socioeconomic status (SES). However, knowledge on the extent to which inequalities in SRH reflect inequalities in disease burden is lacking.

METHODS

Data come from the multi-ethnic HEalthy LIfe in an Urban Setting study (Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin, N = 19 379, aged 18-70). SES was defined by educational and occupational level. Disease burden was operationalized as chronic diseases, physical and mental functioning (measured with SF-12) and depressive symptoms (measured with PHQ-9). We applied logistic regression analyses and reported average marginal effects (AME).

RESULTS

Dutch origin participants with low educational or low occupational level had higher probabilities of reporting fair/poor SRH, compared to the highest levels (AME = 0.20 95% CI: 0.13;0.27; and 0.12 (0.09;0.15), respectively). Associations were attenuated after adjusting for all disease burden indicators, to AME = 0.03 (0.01;0.04) and AME = 0.02 (-0.00;0.04). In all the non-Dutch origin groups, a larger part of the inequalities remained after adjustment.

CONCLUSION

Socioeconomic inequalities in SRH are for a large part explained by higher disease burden in lower socioeconomic groups, but less so in those with non-Dutch origin. Future research should examine if our conclusions also hold for trend data on inequalities in SRH.

Is quality of life impairment associated with chronic diseases dependent on educational level?

BACKGROUND

Previous research indicates that quality of life impairment as a result of chronic diseases differs between socioeconomic groups, but the pattern seems to vary between health-related quality of life (HRQOL) outcomes. We tested for a one-item and a multi-item outcome whether associations between diseases and HRQOL varied between educational levels.

METHODS

Data come from Dutch participants of HELIUS (N =4615, aged 18-70). Education was defined as low, middle or high. Myocardial infarction, angina pectoris, hypertension, diabetes, obesity and depressed mood were measured using physical examination and/or self-report. Outcomes were fair/poor self-rated health (SRH) and physical (PCS) and mental (MCS) SF-12 scores. Interaction terms and relative excess risk due to interaction (RERI) were used as measures of additive interaction.

RESULTS

SRH and PCS were worst in lower educated participants, whereas MCS was worst in middle educated participants. Out of thirty-six interactions tested, four were statistically significant, with risks of poor HRQOL being both larger and smaller in low vs. high education groups. Obesity was associated with smaller risk of fair/poor SRH in low vs. high educated [RERI=-2.49 (-4.66; -0.33)]. Depressed mood was associated with more [b=-3.34 (-6.14; -0.54)] and hypertension with less reduction in PCS [b=1.23 (0.18; 2.27)] in middle vs. high educated. Depressed mood was highly associated with MCS, but less so in middle vs. high educated [b=4.09 (0.72; 7.47)].

CONCLUSION

Despite a higher prevalence of diseases in low education groups, if measured in absolute terms, most diseases were not associated with larger impairment of HRQOL in lower vs. higher educated groups, regardless of the outcome measure used.

Health-related quality of life in Switzerland: normative data for the SF-36v2 questionnaire

Purpose

Health-related quality of life (HRQOL) is an important concept to describe well-being of the general population and persons with diseases. The short form-36 (SF-36) is a widely used questionnaire assessing self-reported HRQOL in eight health domains. The aims of this study were to provide normative data for the SF-36 version 2 (SF-36v2) for all language regions in Switzerland and weighting coefficients to calculate two summary measures for physical and mental health.

Methods

A random representative (regarding age, sex, and language region) sample of people living in Switzerland aged 18–75 years in 2015 was eligible for our questionnaire survey. We calculated the eight health domain subscales for different subsamples based on sociodemographic characteristics. Two summary measures for physical and mental health were derived using data-based factor score coefficients and calculated for the subsamples.

Results

A total of 1209 persons completed the SF-36v2 (mean age 48.7 years, 58.1% women). The SF-36v2 was valid and reliable in Switzerland. Physical health was better in men (p = 0.012) and younger persons (p < 0.001). Mental health was better in men (p < 0.001) and older persons (p < 0.001). Regarding regional differences, we found better physical (p = 0.002) and mental (p < 0.001) health in German speaking persons compared to French and Italian speaking persons.

Conclusions

This paper presents the first SF-36v2 normative data for Switzerland, which are based on a recent study in a representative sample. Our normative data and weighting coefficients will enable future studies to compare HRQOL assessed by the SF-36 in healthy and diseased persons to a representative Swiss sample.

Electronic supplementary material

The online version of this article (10.1007/s11136-019-02161-5) contains supplementary material, which is available to authorized users.

Can physical activity compensate for low socioeconomic status with regard to poor self-rated health and low quality-of-life?

Background

Both high socioeconomic status (SES) and high physical activity (PA) are associated with better self-rated health (SRH) and higher quality-of-life (QoL).

Aim

To investigate whether high levels of PA may compensate for the association between low SES and subjective health outcomes in terms of poorer SRH and lower QoL.

Method

Data from a cross-sectional, population-based study (n = 5326) was utilized. Multiple logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for the associations between indicators of SES (economic situation and educational level), SRH and QoL, as well as between the combination of SES and PA in relation to SRH and QoL.

Result

Participants with high PA and economic problems had approximately the same OR for good SRH as those with low PA and without economic problems (OR 1.75 [95% CI 1.20–2.54] and 1.81 [1.25–2.63] respectively). Participants with high PA and low education had higher odds for good SRH (OR 3.34 [2.96–5.34] compared to those with low PA and high education (OR 1.46 [0.89–2.39]).Those with high PA and economic problems had an OR of 2.09 [1.42–3.08], for high QoL, while the corresponding OR for those with low PA and without economic problems was 4.38 [2.89–6.63].

Conclusion

Physically active people with low SES, had the same or even better odds to report good SRH compared to those with low PA and high SES. For QoL the result was not as consistent. The findings highlight the potential for promotion of PA to reduce SES-based inequalities in SRH.

Electronic supplementary material

The online version of this article (10.1186/s12955-019-1102-4) contains supplementary material, which is available to authorized users.

Contrasted trends in health-related quality of life across gender, age categories and work status in France, 1995–2016: repeated population-based cross-sectional surveys using the SF-36

Background

Interest in monitoring health-related quality of life (HRQoL) in general populations has increased in the past 20 years, reinforced by population ageing and repeated economic crises. This study aims to identify temporal trends in HRQoL in France between 1995 and 2016 and to assess disparities according to demographic and socioeconomic characteristics.

Methods

Data from repeated population-based cross-sectional surveys conducted in 1995, 2003 and 2016 were used. HRQoL was measured using the Medical Outcomes Study 36-item Short Form (SF-36) questionnaire.

Results

A substantial decrease in score was observed between 1995 and 2016 for both genders in almost all subscales of the SF-36, with the largest decrease being in the mental health dimension for men. However, the age group 18–54 years were the most affected with persistent negative or even worsening trends in HRQoL. The largest decreases were among men aged 45–54 years and women aged 35–44 years in most dimensions, and among the age group 18–24 years in vitality. Conversely, an overall improvement was noted among the age group 65–84 years. People in employment were more affected than the unemployed by the decline in several HRQoL dimensions.

Conclusion

A general decline in HRQoL was found between 1995 and 2016 in the French population, but with wide disparities in trends between age groups. Young and especially middle-aged, employed people exhibited persistent negative and worsening trends. Consistent with evidence from traditional mental health morbidity and mortality indicators, our findings raise questions about the potential influence of macro-socioeconomic factors, especially the 2008 crisis; these observations deserve special attention from health policy-makers.

Adaptation of the Possibilities for Activity Scale for women encountering cancer (PActS-W)

BACKGROUND/AIM

The original Possibilities for Activity Scale (PActS) examined the internalised societal pressures of older adults with cancer. Previous research found that scores from the original PActS scale were associated with participation in meaningful activity. Women of working age may have different societal pressures than older adults, which could impact their quality of life. Our aims were to (i) adapt the scale specifically for women, (ii) test convergent and structural validity and (iii) test internal consistency reliability.

METHOD

First, we completed a literature review to add new items, then measured psychometric properties of PActS-W.

FINDINGS

A total of 186 women, one month after cancer surgery completed PActS-W. PActS-W demonstrated convergent-related (physical health r = 0.40, mental health r = 0.30, P < 0.01), structural validity (CFI, 0.96; RMSEA, 0.10; IFI, 0.96, NFI, 0.94) and high internal consistency reliability (stratified coefficient α = 0.90).

CONCLUSION

The PActS-W may be useful for measuring women's internalised societal pressures after encountering cancer, which relates to their quality of life, but further testing is needed.

How are the undocumented migrants in Rome? Assessment of quality of life and its determinants among migrant population

Aim

The aim of this study is to evaluate the level of Health-Related Quality of Life (HRQoL) and its determinants among migrants in irregular situations in Italy.

Methods

This cross-sectional study was held in Rome in 2014. HRQoL was assessed through SF-12 questionnaire and physical (PCS) and mental component scores (MCS) were calculated; socio-demographic information and medical conditions were collected. Bivariate and multivariate analyses were performed to assess the impact of demographic and pathological variables on the HRQoL.

Results

The median PCS among the 200 migrants enrolled was 46.5 and the median MCS was 37.9, some points below the Italian average. The multivariate analysis revealed a negative association between PCS and age (P < 0.01), respiratory (P: 0.03) and Poverty-Related Diseases (PRDs) (P < 0.01). MCS, on the other hand, resulted negatively associated with neuropsychiatric diseases (P: < 0.01) and PRDs (P < 0.01).

Conclusion

Although multivariate analyses revealed that gender acts as an effect modifier the negative association between PRDs and the two dimensions of HRQoL is confirmed in both genders. This suggests a great impact of socio-economic status on the HRQoL. Public health could contribute to improve the HRQoL of migrants only taking into account social aspects of diseases and tailoring intervention on the specific needs of migrants.

Socioeconomic Risk Factors for Celiac Disease Burden and Symptoms

BACKGROUND & AIMS

Celiac disease (CD) affects approximately 1% of the population and negatively affects aspects of life including physical and social function. The relationship between socioeconomic (SE) factors, symptom severity, and perceived burden of living with CD is not well understood. The objective of this study was to assess the relationships between income, symptoms, and perceived burden of CD.

METHODS

In this survey study conducted at a tertiary care center, 773 patients 18 years of age or more with biopsy confirmed CD were eligible to participate. Patients completed a survey with information on SE data, the validated Celiac Symptom Index (CSI), and visual analog scales (VAS) assessing overall health, CD-related health, difficulty in following a gluten-free diet (GFD), and importance of following a GFD.

RESULTS

Three hundred forty one patients completed the survey. Higher income predicted better overall health, better CD related health, and fewer symptoms. In the logistic regression model, low income was associated with greater CD symptoms (odds ratio=6.04, P=0.002). Other factors associated with greater symptoms were younger age, poor overall health state, and more physician visits. Factors associated with increased burden of CD included hospitalizations, more symptoms, poor overall health state, and burden of following a GFD.

CONCLUSIONS

Patients with lower incomes have worse CD-related health and greater symptoms. Those with low income had 6 times the odds of greater symptoms compared with those with high income. Our data suggest that income is associated with perceived overall health, CD-related health, and CD symptoms.

Self-rated health and health-related quality of life among Chinese residents, China, 2010

BACKGROUND

Self-rated health (SRH) and health-related quality of life (HRQOL) are two outcome measures used to assess health status. However, little is known about population-based SRH and HRQOL in China.

METHODS

Data from the 2010 China Chronic Disease and Risk Factor Surveillance, a nationally representative sample of 98,658 adults (≥18-year-old) residing in China, were analyzed. SRH was assessed by asking "Would you say that, in general, your health is very good, good, general, poor, or very poor?" HRQOL was assessed by asking "For about how many days during the past 30 days was your health not good due to physical illnesses, injuries, or mental unhealthy?".

RESULTS

Overall, 6.3 % of participants rated their health as poor or very poor. The prevalence of poor/very poor health increased with advancing age ranging from 2.0 % in the 18-24 year-olds to 14.9 % in those ≥75 years-old, while it decreased with education levels from 13.0 % in illiterates/those with some primary school education to 2.2 % in college graduates or above. Additionally, women were more likely than men to rate their health as poor or very poor (7.2 % vs. 5.4 %). The reported rate of poor/very poor health was higher in western region residents compared to those in the east (7.4 % vs. 5.3 %). The mean numbers of self-reported physically unhealthy days, injury-caused unhealthy days, or mentally unhealthy days during the past 30 days were 1.48, 0.20, and 0.54, respectively. Older adults had more physically unhealthy days than the younger ones ranging from 2.92 days in those ≥ 75 year-old to 0.95 days in 18-24 year-olds. Women had more physically unhealthy days and mentally unhealthy days than men (1.72 vs. 1.23; 0.62 vs. 0.46, respectively). The highest mean number of physically unhealthy days (2.32) was reported by illiterates or those with some primary school education. The highest mean number of mentally unhealthy days (0.86) reported by college graduates or above.

CONCLUSIONS

Substantial variations existed in SRH and HRQOL among age groups, gender groups, education groups, and across regions in China. Considering these disparities will be important when developing health policies and allocating resources.

Association between physical and mental health-related quality of life and adverse outcomes; a retrospective cohort study of 5,272 Scottish adults

Background

Health-related quality of life (HRQoL) is associated with adverse outcomes in disease-specific populations. This study examines whether it is also independent predictor of incident cancer, coronary heart disease (CHD) and mortality in the general population.

Methods

The records of adult participants in the Scottish Health Survey 2003 were linked with hospital admissions, cancer registrations and death certificates. Cox proportional hazard models were used to explore the associations between quintiles of physical and mental component summary score (PCS and MCS respectively) of the SF-12 and adverse outcomes. Higher quintiles of both PCS and MCS indicate better health status.

Results

Among the 5,272 study participants, the mean PCS score was 49 (standard deviation (SD) 10.3). Participants were followed-up for a mean of 7.6 years. On survival analysis the lowest quintile of PCS was a strong predictor of all-cause death (hazard ratio (HR) 2.81, 95% CI 1.76, 4.49), incident cancer (HR 1.63, 95% CI 1.10, 2.42), and CHD events (HR 1.99, 95% CI 1.00, 3.96), compared to the highest quintile. This association was independent of adiposity and other confounders. The mean MCS score 52 (SD 8.8). MCS quintile was not associated with incident cancer and CHD, and the association between MCS and all-cause death (HR 1.33, 95% CI 1.01, 1.75) became non-significant after adjustment for adiposity.

Conclusion

Physical HRQoL is a significant predictor of a range of adverse outcomes, even after adjustment for adiposity and other confounders. This study highlights the importance of perceived health in the general population.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2458-14-1197) contains supplementary material, which is available to authorized users.

Health-related quality of life and socioeconomic status: inequalities among adults with a chronic disease

Background

A number of studies have shown an association between health-related quality of life (HRQL) and socioeconomic status (SES). Indicators of SES usually serve as potential confounders; associations between SES and HRQL are rarely discussed in their own right. Also, few studies assess the association between HRQL and SES among those with a chronic disease. The study focuses on the question of whether people with the same state of health judge their HRQL differently according to their SES, and whether a bias could be introduced by ignoring these differences.

Methods

The analyses were based on a representative sample of the adult population in Germany (n = 11,177). HRQL was assessed by the EQ-5D-3 L, i.e. the five domains (e.g. ‘moderate or severe problems’ concerning mobility) and the Visual Analog Scale (VAS). SES was primarily assessed by educational level; age, sex and family status were included as potential confounders. Six chronic diseases were selected, each having a prevalence of at least 1% (e.g. diabetes mellitus). Multivariate analyses were conducted by logistic and linear regression.

Results

Among adults with a chronic disease, most ‘moderate or severe problems’ are reported more often in the low (compared with the high) educational group. The same social differences are seen for VAS values, also in subgroups characterized by ‘moderate or severe problems’. Gender-specific analyses show that for women the associations with VAS values can just be seen in the total sample. For men, however, they are also present in subgroups defined by ‘moderate or severe problems’ or by the presence of a chronic disease; some of these differences exceed 10 points on the VAS scale.

Conclusions

Low SES groups seem to be faced with a double burden: first, increased levels of health impairments and, second, lower levels of valuated HRQL once health is impaired. These associations should be analysed and discussed in their own right, based on interdisciplinary co-operation. Social epidemiologists could include measures of HRQL in their studies more often, for example, and health economists could consider assessing whether recommendations based on HRQL scales might include a social bias.

Use of different subjective health indicators to assess health inequalities in an urban immigrant population in north-western Italy: a cross-sectional study

Background

Despite the steady growth of the immigrant population in Italy, data on the health status of immigrants are scarce. Our main goals were to measure Health-Related Quality of Life (HRQoL), Self-Rated Health (SRH) and morbidity among immigrants in Genoa. We aimed to assess the relative contribution of some social, structural and behavioral determinants to “within-group” health disparities.

Methods

We enrolled 502 subjects by means of snowball sampling. The SF-12 questionnaire, integrated with socio-demographic and health-related items, was used. Multivariate logistic and Poisson regression models were applied in order to identify characteristics associated with poor SRH, lower SF-12 scores and prevalence of self-reported morbidities.

Results

Subjects showed relatively moderate levels of HRQoL (median physical and mental scores of 51.6 and 47.3, respectively) and about 15% of them rated their health as fair or poor. Lower scores in the physical dimension of HRQoL were associated with the presence of morbidities and immigration for work and religious reasons, while those who had migrated for religious and family reasons displayed a lower probability of lower scores in the mental dimension of HRQoL. Poor SRH was associated with female gender, overweight/obesity and presence of morbidities. Moreover, compared with immigrants from countries with a low human development index, immigrants from highly developed societies showed significantly lower odds of reporting poor SRH. About one-third of respondents reported at least one medical condition, while the prevalence of multi-morbidity was 10%. Females, over 45-year-olds, overweight and long-term immigrants had a higher prevalence of medical conditions.

Conclusions

Our study confirms the presence of health inequalities within a heterogeneous immigrant population. HRQoL, SRH and morbidity are valid, relatively rapid and cheap tools for measuring health inequalities, though they do so in different ways. These indicators should be used with caution and, if possible, simultaneously, as they could help to identify and to monitor more vulnerable subjects among immigrants.

The components of self-rated health among adults in Ouagadougou, Burkina Faso

Background

Although the relationship between self-rated health (SRH) and physical and mental health is well documented in developed countries, very few studies have analyzed this association in the developing world, particularly in Africa. In this study, we examine the associations of SRH with measures of physical and mental health (chronic diseases, functional limitations, and depression) among adults in Ouagadougou, Burkina Faso, and how these associations vary by sex, age, and education level.

Methods

This study was based on 2195 individuals aged 15 years or older who participated in a cross-sectional interviewer-administered health survey conducted in 2010 in areas of the Ouagadougou Health and Demographic Surveillance System. Logistic regression models were used to analyze the associations of poor SRH with chronic diseases, functional limitations, and depression, first in the whole sample and then stratified by sex, age, and education level.

Results

Poor SRH was strongly correlated with chronic diseases and functional limitations, but not with depression, suggesting that in this context, physical health probably makes up most of people’s perceptions of their health status. The effect of functional limitations on poor SRH increased with age, probably because the ability to circumvent or compensate for a disability diminishes with age. The effect of functional limitations was also stronger among the least educated, probably because physical integrity is more important for people who depend on it for their livelihood. In contrast, the effect of chronic diseases appeared to decrease with age. No variation by sex was observed in the associations of SRH with chronic diseases, functional limitations, or depression.

Conclusions

Our findings suggest that different subpopulations delineated by age and education level weight the components of health differently in their self-rated health in Ouagadougou, Burkina Faso. In-depth studies are needed to understand why and how these groups do so.