Assessment of self-rated health: The relative importance of physiological, mental, and socioeconomic factors

Determinants of psychological distress among individuals who are aware of their HIV serostatus in South Africa: findings from the 2017 national HIV prevalence, incidence, behavior, and communication survey

Introduction

Psychological distress is a growing public health challenge among people living with HIV. This study investigated the prevalence of psychological distress among individuals who know their HIV positive or negative serostatus in South Africa using 2017 data from a nationwide cross-sectional household-based population survey.

Methods

The data for this secondary analysis was collected using a multi-stage stratified cluster randomized sampling design. Multivariable backward stepwise generalized linear regression models were fitted to determine factors associated with psychological distress as measured by the Kessler Scale (K10) among HIV-positive and HIV-negative individuals who know their serostatus in South Africa.

Results

Of 18,662 participants, psychological distress was 27.4% (95% CI: 25.3-29.7) among those HIV-positive and 20.1% (95% C: 18.8-21.4) among those HIV-negative. The odds of psychological distress were significantly higher among HIV-positive individuals who rated their health as fair/poor [AOR = 1.22 (95% CI: 1.09-1.35), p < 0.001], and the odds were lower among those residing in rural formal/farm areas [AOR = 0.85 (95% CI: 0.78-0.93), p < 0.001], and those with tertiary education level [AOR = 0.88 (95% CI: 0.78-0.99), p = 0.033]. The odds of psychological distress in HIV-negative individuals were significantly higher among females than males [AOR = 1.09 (95% CI: 1.05-1.14), p < 0.001], high-risk alcohol drinkers [AOR = 1.26 (95% CI: 1.02-1.57), p = 0.035] and hazardous alcohol drinkers [AOR = 1.09 (95% CI: 1.01-1.18), p = 0.028] than abstainers and those who rated their health as fair/poor rather than excellent/good [AOR = 1.18 (95% CI: 1.10-1.26), p < 0.001].

Conclusion

The study underscores the importance of addressing, alcohol misuse and socio-structural inequalities linked to gender and race-based disparities, such as low educational attainment and unemployment, as critical factors associated with psychological distress in the study population.

Subjective social status, health and well-being among older adults in China and South Korea: a cross-sectional analysis

INTRODUCTION

Social status, which encompasses various psychosocial dimensions, such as income, education and social relationships, can have a significant impact on physical and mental health outcomes. The study aims to explore the association among subjective social status, health and well-being among individuals aged 55 years and older in China and South Korea.

PARTICIPANTS

Sample population included individuals aged 55 years and older: China (n=1779) and South Korea (n=421).

OUTCOME MEASURES

Outcome measures included self-reported health status and well-being which were assessed by life satisfaction and general happiness.

RESULTS

The percentage of participants who reported a 'very good' health condition was higher in South Korea (14.5%) than in China (11.0%). The percentage of participants who reported feeling very satisfied (14.7%) with their life was lower in South Korea (11.8%). In China, 6.7% of the respondents reported their health as 'very bad' (rating 5), while in South Korea, this percentage was higher at 18.1%. Regression analysis revealed an inverse association among higher social status and poorer health, lower life satisfaction and lower happiness levels. For example, individuals who placed themselves in the highest social status category had 0.26 times lower odds (95% CI=0.13 to 0.55) of reporting poorer self-rated health status than those in the lowest category. Similarly, compared with individuals who place themselves in the lowest social status category, those who place themselves in the highest social status category have 0.03 times lower odds of reporting lower life satisfaction (95% CI=0.02 to 0.07).

CONCLUSION

Overall, the results highlight a significant association among social status, subjective health, life satisfaction and general happiness in both the countries. Health policymakers should identify effective strategies to promote healthy ageing and reduce disparities in health and well-being outcomes among older adults from different social backgrounds.

Impact of indoor air pollution from cooking fuel usage and practices on self-reported health among older adults in India: Evidence from LASI

This research aims to explore the impact of various components of Indoor air pollution (IAP) on the Self-Reported Health (SRH) of older adults in India. Using a sample of 27,090 from the Longitudinal Aging Study in India (LASI) Wave-1, a multiple binary logistic regression model was employed to identify specific risk factors associated with poor SRH among older adults. Adjusting for demographic, socioeconomic, and IAP-related components, it was revealed that IAP significantly contributes to poor SRH. The adjusted model indicated that individuals using solid cooking fuels face a higher risk of poor SRH compared to those using liquid fuels. Additionally, individuals not using electric chimneys and cooking near windows are associated with an elevated risk of poor SRH, highlighting the importance of adequate ventilation. Health risk factors, including lung disease, diabetes, cough, and depression, further contribute to poor SRH among older adults exposed to IAP. Overall, the study offers crucial insights for policymakers, healthcare professionals, and environmentalists to improve the well-being of the vulnerable older population in India.

1 km of living area: age differences in the association between neighborhood environment perception and self-rated health among Chinese people

OBJECTIVES

This study aimed to explore the age differences in the relationship between neighborhood environment perception and self-rated health among Chinese people.

STUDY DESIGN

This is cross-sectional study.

METHODS

The participants were 2,631 residents aged 18 and above from 2021 Chinese General Social Survey (CGSS). Self-rated health was reported by residents. Neighborhood environment was measured by respondents' subjective perception of 1 km living area. Ordered logit regression models were used to examine the relationship between neighborhood environment perception and self-rated health.

RESULTS

In summary, 42.08% were classified as young adults, and 57.92% were classified as middle-aged and older adults. Young adults with higher perception of neighborhood social environment were more likely to perceive good health. Neighborhood built environment was significantly associated with self-rated health among middle-aged and older adults.

CONCLUSION

The neighborhood environment is an important predictor of the health of its residents. Neighborhood environmental modifications should be tailored to meet the needs of different age groups, promoting health equity.

Exploring the Influence of Social Class and Sex on Self-Reported Health: Insights from a Representative Population-Based Study

This study investigates the intricate interplay between social class, sex, and self-reported health (SRH) using data from the European Health Survey of Spain 2020 (EESE2020). Employing a cross-sectional design and a representative sample of 22,072 individuals, the analysis explores the persistence of disparities after adjusting for covariates, focusing on health-related variables. The study employs logistic regression models and directed acyclic graphs (DAGs) to delineate the direct effects of social class and sex on SRH, identifying a minimum adjustment set to control for confounding variables. Results reveal a gradient effect of social class on SRH, emphasizing the enduring impact of socioeconomic factors. Sex-based disparities in SRH diminish after considering additional health-related variables, highlighting the importance of a holistic approach. DAGs serve as transparent tools in disentangling complex relationships, guiding the identification of essential covariates. The study concludes that addressing health inequalities requires comprehensive strategies considering both individual health behaviours and socio-economic contexts. While recognizing limitations, such as the cross-sectional design, the findings contribute to a nuanced understanding of health disparities, informing evidence-based interventions and policies for a more equitable healthcare system.

Exploring factors associated with self-rated health in individuals with diabetes and its impact on quality of life: Evidence from the Survey of Health, Ageing, and Retirement in Europe

BACKGROUND

Self-rated health (SRH), a measure of self-reported general health, is a robust predictor of morbidity and mortality in various populations, including people with diabetes. Diabetes is negatively associated with SRH and quality of life (QoL). Little is known about how people with diabetes rate their health and which aspects influence the rating. Also, the predictive value of SRH on future QoL has not yet been evaluated.

METHODS

We analyzed data from 46 592 participants of the Survey of Health, Ageing and Retirement in Europe (SHARE). Using linear regression, we aimed to determine which sociodemographic, socioeconomic, medical, social, mental, and health behavior factors determine SRH in people with diabetes. In addition, we analyzed the predictive value of SRH on future QoL using the generalized estimating equations procedure.

RESULTS

We determined that country, current job situation, hospitalization, pain, polypharmacy, memory, eyesight, activities of daily living, number of chronic diseases, and depression are all linked to SRH. Together these variables explained 38% of the SRH's variance, whereas depression, pain, and memory had the greatest influence on SRH of people with diabetes. We also found that SRH independently predicted future QoL, supported by a regression coefficient of β = -1.261 (Wald chi-square test, χ2  = 22.097, df = 1, p < .05).

CONCLUSIONS

As SRH is linked to future QoL, we conclude that incorporating SRH assessment into medical evaluations can help health care professionals gaining a more comprehensive understanding of an individual's health trajectory and supporting patients to enhance their QoL.

Validation of Hindi version of the obstetric quality of recovery score-11 (ObsQoR-11 H) following elective caesarean section

Background and Aims

Obstetric quality of recovery score-11 (ObsQoR-11) was developed in English to evaluate the quality of recovery in the caesarean section. We aimed to validate the Hindi version of ObsQoR-11 (ObsQoR-11H) for Hindi-speaking patients to evaluate the quality of recovery following the elective caesarean section.

Methods

The ObsQoR-11 was translated into Hindi and assessed for validity, acceptability and feasibility. The questionnaire was administered postoperatively at 24 and 48 hours, and the Global Health Numeric Rating Scale (NRS) was used to evaluate recovery.

Results

The mean (standard deviation [SD]) (95% confidence interval [CI]) ObsQoR-11 H was 75.94 (4.09)(95% CI 75.1, 76.7) and 80.25 (4.08)(95% CI 79.5, 81) at 24 and 48 hours, respectively. The mean (SD) (95%CI) Global Health NRS scores were 71.22 (5.97)(95% CI 70, 72.4) and 77.37 (5.79)(95% CI 76.2, 78.5) at 24 and 48 hours, respectively. Convergent validity showed a strong correlation between ObsQoR-11H and Global Health NRS (Spearman's correlation coefficient [rs] >0.8 and 0.78) scores at 24 and 48 hours, respectively. Discriminant validity was significant in appreciating the difference between good and poor recovery (P < 0.001). Split-half coefficient of 0.69 and 0.65 and Cronbach's alpha (α) of 0.91 and 0.82 at 24 and 48 hours suggested good score reliability. The acceptability and feasibility of the score were also good.

Conclusion

The ObsQoR-11H discriminated well between 'good' and 'poor' recovery and correlated strongly with Global Health NRS scores. It was found to be a valid, reliable, acceptable and feasible tool for psychometric recovery evaluation after elective caesarean section in Hindi-speaking women.

Associations between Stress, Anxiety, Depression and Sleep Quality among Healthcare Students

OBJECTIVES

Stress, anxiety, and depression among students have many negative health consequences and may predispose students to poor sleep quality; therefore, this research aimed to investigate the perceived stress, anxiety, and depression and their relation to the level of sleep quality among healthcare students.

METHODS

A cross-sectional study using a validated survey was conducted among Saudi healthcare students from different regions during the period from 26 September 2022 to 30 October 2022. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep quality. PSPP Statistical Analysis Software version 1.2.0 was used for all statistical analyses.

RESULTS

701 respondents participated in this research; the response rate was 73.8%. About 60% of the study sample was female, and the average age was 20.9 years. 80.3% of students have poor sleep quality; the participants' mean sleeping hours per night was 6.81 ± 1.88 h. About three-quarters of students (72.9%) perceive themselves as stressed. A significant positive correlation was observed between sleep quality and perceived stress (r-value = 0.363), anxiety (r-value = 0.387), and depression (r-value = 0.347). Poor sleep quality was more likely among those with stress than those without stress (AOR = 1.79; 95% CI 1.07, 2.99) and two times more likely among students with cases of anxiety than those without anxiety (AOR = 2.07; 95% CI 1.10, 3.94).

CONCLUSIONS

Our study highlights the high prevalence of poor sleep quality, anxiety, depression, and stress among healthcare students in Saudi Arabia. Students' reported stress, anxiety, and residence region were associated with poor sleep quality. These results imply the necessity of regular screening and appropriate intervention for sleep problems, stressors, and anxiety among healthcare students.

Longitudinal bidirectional link between socioeconomic position and health: a national panel survey analysis

BACKGROUND

Health inequities can stem from socioeconomic position (SEP) leading to poor health (social causation) or poor health resulting in lower SEP (health selection). We aimed to examine the longitudinal bidirectional SEP-health associations and identify inequity risk factors.

METHODS

Longitudinal Household Israeli Panel survey participants (waves 1-4), age ≥25 years, were included (N=11 461; median follow-up=3 years). Health rated on a 4-point scale was dichotomised as excellent/good and fair/poor. Predictors included SEP parameters (education, income, employment), immigration, language proficiency and population group. Mixed models accounting for survey method and household ties were used.

RESULTS

Examining social causation, male sex (adjusted OR 1.4; 95% CI 1.1 to 1.8), being unmarried, Arab minority (OR 2.4; 95% CI 1.6 to 3.7, vs Jewish), immigration (OR 2.5; 95% CI 1.5 to 4.2, reference=native) and less than complete language proficiency (OR 2.22; 95% CI 1.50 to 3.28) were associated with fair/poor health. Higher education and income were protective, with 60% lower odds of subsequently reporting fair/poor health and 50% lower disability likelihood. Accounting for baseline health, higher education and income were associated with lower likelihood of health deterioration, while Arab minority, immigration and limited language proficiency were associated with higher likelihood. Regarding health selection, longitudinal income was lower among participants reporting poor baseline health (85%; 95% CI 73% to 100%, reference=excellent), disability (94%; 95% CI 88% to 100%), limited language proficiency (86%; 95% CI 81% to 91%, reference=full/excellent), being single (91%; 95% CI 87% to 95%, reference=married), or Arab (88%; 95% CI 83% to 92%, reference=Jews/other).

CONCLUSION

Policy aimed at reducing health inequity should address both social causation (language, cultural, economic and social barriers to good health) and health selection (protecting income during illness and disability).

Self-rated health status and associated factors in rural workers

BACKGROUND

Self-rated health status can be considered a good predictor of morbidity and mortality and has been used due to its easy assessment and applicability. The instrument is efficient for understanding sociodemographic, environmental and clinical conditions that may be related to the self-rated health status. Thus, this study aims to analyze the self-assessment of health status in rural workers and its association with socioeconomic characteristics, lifestyle, clinical condition and work characteristics.

METHODS

This is a cross-sectional study carried out with 787 male and female rural reporting agriculture as their main source of income in the municipality of Santa Maria de Jetibá. A simple and direct question was used "In general, compared to people your age, how do you rate your own state of health?" to see how rural workers rate their current health status. The independent variables analyzed were socioeconomic, clinical, health and work conditions. The magnitude of the associations was evaluated by means of hierarchical logistic regression.

RESULTS

It was found that 42.1% of rural workers self-rated their health status as regular or poor. Belonging to socioeconomic classes C (OR = 1.937; 95% CI = 1.009-3.720) or D/E (OR = 2.280; 95% CI = 1.178-4.415), being overweight (or having excess weight) (OR = 1.477; 95% CI = 1.086-2.008), multimorbidity (OR = 1.715; 95% CI = 1.201-2.447) and complex multimorbidity (OR = 1.738; 95% CI = 1.097-2.751) were risk factors for worse self-rated health.

CONCLUSION

It was concluded that chronic diseases, socioeconomic status and overweight are risk factors for negative self-rated health. The identification of these determinants through self-rated status can support the planning of actions aimed at improving the health of the rural population.

TRIAL REGISTRATION

This study was approved by the Research Ethics Committee of the Health Sciences Center of the Federal University of Espírito Santo (Protocol No. 2091172; CAAE No. 52839116.3.0000.5060). All research participants gave their informed consent.

Polypharmacy and the Change of Self-Rated Health in Community-Dwelling Older Adults

Polypharmacy is associated with poorer self-rated health (SRH). However, whether polypharmacy has an impact on the SRH progression is unknown. This study investigates the association of polypharmacy with SRH change in 1428 participants of the Berlin Initiative Study aged 70 years and older over four years. Polypharmacy was defined as the intake of ≥5 medications. Descriptive statistics of SRH-change categories stratified by polypharmacy status were reported. The association of polypharmacy with being in SRH change categories was assessed using multinomial regression analysis. At baseline, mean age was 79.1 (6.1) years, 54.0% were females, and prevalence of polypharmacy was 47.1%. Participants with polypharmacy were older and had more comorbidities compared to those without polypharmacy. Over four years, five SRH-change categories were identified. After covariate adjustment, individuals with polypharmacy had higher odds of being in the stable moderate category (OR 3.55; 95% CI [2.43-5.20]), stable low category (OR 3.32; 95% CI [1.65-6.70]), decline category (OR 1.87; 95% CI [1.34-2.62]), and improvement category (OR 2.01; [1.33-3.05]) compared to being in the stable high category independent of the number of comorbidities. Reducing polypharmacy could be an impactful strategy to foster favorable SRH progression in old age.

Examining the Complex (Curvilinear and Contingent) Associations between Social Distancing Compliance and Subjective Health during a Global Health Crisis

OBJECTIVES

This study investigated a potential curvilinear link between social distancing behavior and subjective health in later life. It also evaluated whether food insecurity and community social capital moderated the focal relationship.

METHODS

Data were drawn from three waves of the COVID Impact Survey (N = 19,234). Mixed-effects models were fitted.

RESULTS

Social distancing has a non-monotonic (U-shaped) relationship with subjective health, i.e., individuals with low and high levels of social distancing show relatively better health. Moreover, the negative linear relationship between social distancing and health is weaker among people suffering from food insecurity as well as those living in communities with lower stocks of social capital.

DISCUSSION

This study sheds new light on the health implications of social distancing during the pandemic. Our findings dovetail with the steeling hypothesis, i.e., that social distancing is less harmful for U.S. older adults exposed to prior stressful or vulnerable conditions.