Gender differences in the effect of self-rated health (SRH) on all-cause mortality and specific causes of mortality among individuals aged 50 years and older

Incidence and Influencing Factors of Avoidable Mortality in Korea From 2013-2022: Analysis of Cause-of-death Statistics

OBJECTIVES

This study aimed to identify trends in avoidable mortality (AVM) in 16 provincial and metropolitan regions of Korea and determine the factors influencing AVM.

METHODS

First, the avoidable mortality rate (AVMR) was calculated using the Statistics Korea cause-of-death and population data by age and region from 2013 to 2022. Second, a health determinants model was built, and we identified the factors influencing AVM using generalized estimating equations analysis.

RESULTS

Although the AVMR per 100 000 people displayed a steadily decreasing trend from 2013 to 2020, it began to increase in 2021. Meanwhile, Jeonnam, Jeonbuk, Gyeongnam, Gyeongbuk, Chungnam, Chungbuk, and Gangwon Provinces showed a higher AVMR than the national average. The analysis revealed that each 1-unit increase in the older adult population, smoking, perceived stress, or non-local medical utilization was associated with an increase in the AVMR. Conversely, 1-unit increases in the male-to-female ratio, marriage rate, positive self-rated health, local medical utilization, doctor population, influenza vaccination rate, cancer screening rate, or financial independence were associated with decrease in the AVMR.

CONCLUSIONS

This study established that the AVMR, which had been continuously decreasing across the 16 regions, shifted to an increasing trend in 2021. We also identified several factors influencing AVM. Further studies are needed to confirm the reasons for this shift in the AVMR and explore the factors that influence AVM across Korea's 16 provincial and metropolitan regions.

Self-Rated Health and its Impact on Survival of Older Adults

Background

Self -rated health (SRH) is a subjective assessment of health status that results from asking a question as "How do you assess your health?". The aim of this study was to determine the value of SRH for survival of older adults.

Materials and Methods

This cohort study was conducted among a population aged 60 years and over living in the north region of Iran. The participants' characteristics including demographic information, life-style behaviors, medical history, body mass index, depressive symptoms, cognitive function, and social support were examined. SRH was categorized into two groups (1. poor or fair and 2. good or excellent). All of the study population were followed up again after 5 years to determine the survival condition.

Results

Totally, 1475 elderly people were included. Good or excellent SRH showed a significant association with male gender, to be married, higher physical activity, less co-morbid chronic disorders, no depressive symptoms, normal cognitive function, higher social support, smoking (P < 0.001), and normal body mass index (BMI) (P = 0.021); however, no significant association with age (P < 0.083) was observed. Out of 944 elderly people expressing good or excellent SRH, 85 (9%) persons died after 5-year follow-up (P < 0.001). Cox regression analysis revealed that SRH had a significant impact on mortality of older adults (adjusted hazard ratio = 1.447; 95% confidence interval: 1.008-2.076; P = 0.045).

Conclusion

Considering health-related characteristics including age, gender, number of drugs the participant was taking, physical activity, BMI, and social support, SRH showed a significant effect on 5-year survival of older adults.

Association between social jetlag and self-rated health: Evidence from Korean representative working population

BACKGROUND

Social jetlag is a circadian misalignment that arises from a discrepancy between activity/sleep schedules on school/work days and free days. This study explored the correlation between social jetlag and self-rated health (SRH) in a representative sample of Korea.

METHODS

This study included 8259 working population in the Korea National Health and Nutrition Examination Survey, 2016-2018. Social jetlag was calculated as the difference between the midpoint of sleep time on work day and work-free day. Five-point Likert scale of SRH was used to assess subjective health perception on general health conditions. Multiple logistic regression analysis was performed to calculate the odds ratios (ORs) and 95 % confidence interval (CI) for poor SRH in the 1-2 h or longer than 2 h social jetlag groups compared to that in the reference group (less than 1 h), after adjusting for age, sex, marital status, occupation, household income, and weekly working hours.

RESULTS

The proportions of those with <1 h, 1-2 h, >2 h of social jetlag were 63.80 %, 25.67 %, and 10.53 %, respectively. The risk of poor SRH increased as social jetlag increased. Greater social jetlag was significantly associated with an increased likelihood of reporting poor SRH. The adjusted ORs for the groups with social jetlag between 1 and <2 h, and >2 h were 1.100 (95 % CI = 0.935-1.295), and 1.503 (95 % CI = 1.097-1.727), respectively. Moreover, the OR trend was statistically significant (p for trend = 0.008).

CONCLUSION

This study found that social jetlag and poor SRH were significantly related in the Korean working population.

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.

Descriptive regression tree analysis of intersecting predictors of adult self-rated health: Does gender matter? A cross-sectional study of Canadian adults

BACKGROUND

While self-rated health (SRH) is a well-validated indicator, its alignment with objective health is inconsistent, particularly among women and older adults. This may reflect group-based differences in characteristics considered when rating health. Using a combination of SRH and satisfaction with health (SH) could capture lived realities for all, thus enabling a more accurate search for predictors of subjective health. With the combined measure of SRH and SH as the outcome we explore a range of characteristics that predict high SRH/SH compared with predictors of a low rating for either SRH or SH.

METHODS

Data were from the Canadian General Social Survey 2016 which includes participants 15 years of age and older. We performed classification and regression tree (CRT) analyses to identify the best combination of socioeconomic, behavioural, and mental health predictors of good SRH and health satisfaction.

RESULTS

Almost 85% of the population rated their health as good; however, 19% of those had low SH. Conversely, about 20% of those reporting poor SRH were, none-the-less, satisfied. CRT identified healthy eating, absence of a psychological disability, no work disability from long-term illness, and high resilience as the main predictors of good SRH/SH. Living with a spouse or children, higher social class and healthy behaviours also aligned with high scores in both self-perceived health measures. Sex was not a predictor.

CONCLUSIONS

Combining SRH and SH eliminated sex as a predictor of subjective health, and identified characteristics, particularly resilience, that align with high health and well-being and that are malleable.

Population frailty trends by education and income levels over a period of 30 years: findings from Swedish registry data

BACKGROUND

Frailty is an age-related health condition affecting an estimated 18% of older adults in Europe and past evidence has shown a relationship between socioeconomic factors and frailty. We examined population frailty trends and the association between frailty and 5-year mortality by education tertiles and income quartiles at ages 75, 85 and 95 in Swedish registry data.

METHODS

All Swedish residents born in 1895-1945 and in the Total Population Register from 1990 to 2020 were included. Frailty was assessed with the Hospital Frailty Risk Score (HFRS), which sums 109 weighted International Classification of Diseases (ICD codes), collected from the National Patient Register.

RESULTS

Regardless of education and income, frailty increased over time, though the association between frailty and 5-year mortality remained stable. Particularly in earlier birth cohorts, although the highest education and income levels had the highest mean HFRS scores, the lowest education and income levels accounted for greater proportions among the frail. These trends varied slightly by sex and age. Men and women had similar levels of frailty, but frailty was more strongly associated with mortality among men.

CONCLUSION

Over time, education and income levels were more equally represented among the frail population in more recent years. More equitable distribution over time may suggest improvement in health disparities, though more work is needed. The overall increase in frailty and unchanged association with mortality indicates that additional research is needed to better understand how to best support the growing ageing population. This would then support the long-term viability of the healthcare system.

Education Moderates the Association between Depressive Symptoms and Self-Rated Health among Older Adults with Cancer

This study examined the association between depressive symptoms and self-rated health (SRH) and whether and how such association varies by education among older adults with cancer. Data came from the 2019 National Health Interview Survey. A total of 2,470 participants aged 65 or older who had been diagnosed with cancer by a doctor or other health professional were included in this study. Ordinal logistic regression was used to examine the association between depressive symptoms and SRH and whether and how such association varies by education among older adults with cancer. More depressive symptoms were associated with worse SRH. Such association became stronger with higher education among older adults with cancer. Findings confirm the associations between depressive symptoms and SRH among older adults with cancer. The differential impact of education on SRH and on the association between depressive symptoms and SRH highlights the importance of considering patients' educational attainment in a more comprehensive way when working with older adults with cancer. When conducting distress screening among cancer survivors, oncology social workers should be aware of the complex relationship between education and depression in relation to cancer survivors' SRH.

Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning

OBJECTIVE

To evaluate which factors are the most strongly related to self-perceived health among older men and describe the shape of the association between the related factors and self-perceived health using machine learning.

DESIGN AND SETTING

This is a cross-sectional study within the population-based VAScular and Chronic Obstructive Lung disease study (VASCOL) conducted in southern Sweden in 2019.

PARTICIPANTS

A total of 475 older men aged 73 years from the VASCOL dataset.

MEASURES

Self-perceived health was measured using the first item of the Short Form 12. An extreme gradient-boosting model was trained to classify self-perceived health as better (rated: excellent or very good) or worse (rated: fair or poor) using self-reported data on 19 prevalent physician-diagnosed health conditions, intensity of 9 symptoms and 9 demographic and lifestyle factors. Importance of factors was measured in SHapley Additive exPlanations absolute mean and higher scores correspond to greater importance.

RESULTS

The most important factors for classifying self-perceived health were: pain (0.629), sleep quality (0.595), breathlessness (0.549), fatigue (0.542) and depression (0.526). Health conditions ranked well below symptoms and lifestyle variables. Low levels of symptoms, good sleep quality, regular exercise, alcohol consumption and a body mass index between 22 and 28 were associated with better self-perceived health.

CONCLUSIONS

Symptoms are more strongly related to self-perceived health than health conditions, which suggests that the impacts of health conditions are mediated through symptoms, which could be important targets to improve self-perceived health. Machine learning offers a new way to assess composite constructs such as well-being or quality of life.

Association between self-rated health and venous thromboembolism in Malmö Preventive Program: A cohort study

INTRODUCTION

Venous thromboembolism (VTE) and cardiovascular disease (CVD) share some risk factors such as smoking, obesity, and dietary habits. Poor self-rated health (SRH) has been shown to be a predictor of arterial CVD and mortality for both men and women. The association between SRH and VTE has only been investigated in one previous Swedish study with a cohort that just contained women. This Swedish study did not show any significant associations between poor SRH and VTE in women.

METHODS

A cohort of 22,444 men and 10,902 women in the Malmö Preventive Program was followed for a period of 44 years. All participants in the baseline screening with measurements including SRH were traced in national registers. Data on VTE events were collected from national hospital registries. Cox proportional regression analysis was used to calculate the association between SRH and time to VTE.

RESULTS

During a follow-up time of 44.31 years, a total of 2612 individuals were affected by VTE. Good SRH was associated with a lower risk for VTE in women both in the univariate model (HR = 0.75, CI = 0.65-0.85) and after adjustments for age, smoking, BMI and varicose veins (HR = 0.81, CI 0.70-0.93). SRH was not a predictor for VTE in men, neither in the unadjusted (HR = 1.05, CI 0.90-1.13) nor in the fully adjusted model (HR = 1.00, CI = 0.88-1.14).

CONCLUSION

In this cohort study, SRH was associated with VTE in women but not among men. The association was significant even when adjusting for well-known risk factors such as varicose veins, BMI and smoking.

Association between multimorbidity, self-rated health and life satisfaction among independent, community-dwelling very old persons in Japan: longitudinal cohort analysis from the Kawasaki Ageing and Well-being Project

OBJECTIVE

This study aimed to identify associations between multimorbidity and subjective health outcomes among the very old persons, after adjusting for coexisting conditions such as frailty and depression.

STUDY SETTING AND PARTICIPANTS

This was an observational cross-sectional study involving 1012 independent, community-dwelling very old persons (507 men, 505 women; aged 85-89 years) in Kawasaki city, Japan.

OUTCOME MEASURES

The primary outcome was the cross-sectional associations between multimorbidity and poor self-rated health (SRH) and life satisfaction using binary logistic regression. The secondary outcome was the association of subjective health with each chronic condition.

RESULTS

The prevalence of multimorbidity (≥2 conditions) was 94.7%, and the average number of chronic conditions was 4.47±1.9. Multimorbidity was significantly associated with poor SRH in the adjusted model only when six or more chronic conditions were present (OR 4.80; 95% CI 1.34 to 17.11; p=0.016). Cerebrovascular disease, heart disease, respiratory disease, connective tissue disease and arthritis showed significant associations with poor SRH after multivariate adjustment. Sex-specific analysis replicated associations between multimorbidity with six or more conditions and SRH in both men and women, while the diseases with the greatest impact on SRH differed between men and women. Most conditions were not associated with low satisfaction with life scale, with the exception of arthritis (OR 1.92, 95% CI 1.32 to 2.78, p=0.001).

CONCLUSIONS

Multimorbidity is prevalent in the independent, community-dwelling very old persons and is associated with poor SRH when six or more conditions are present; conditions causing mobility limitations, such as cerebrovascular disease, connective tissue disease and arthritis, have a negative impact on SRH.

TRIAL REGISTRATION NUMBER

UMIN000026053.

Age and sex differences in associations between self-reported health, physical function, mental function and mortality

OBJECTIVES

To explore how age and sex affect the impacts of self-rated health, self-reported physical activities, physical function, and depressive symptoms on long-term mortality among community-dwelling middle-aged and older adults using a nationally representative population-based cohort study.

METHODS

Data from 1550 study participants from the Social Environment and Biomarkers of Aging Study (SEBAS) were retrieved for analysis, and all participants were divided into four groups based on their age and gender. Middle aged participants were aged 53 to 64 years, and elderly subjects were ≥ 65 years old. Multivariate logistic regression models were applied to investigate the associations between age, sex, and self-reported disabilities of physical activities, physical function (activities of daily living (ADL) and instrumental activities of daily living (IADL) and depression.

RESULTS

Although the self-reported health status was similar across different age- and sex-stratified subgroups, older women were at the highest risk in self-reported difficulty with physical activities (aOR 2.58 [1.55-4.28]) and difficulty with IADL (aOR 3.32 [2.20-5.03]) compared to men. After adjusting for living arrangement, residence locale, education levels, occupation, socioeconomic status, self-reported health, multimorbidity, impairments in daily activities, and depressive symptoms, older men were found to display the highest risk of mortality (aHR 2.06 [95% CI 1.45-2.93]).

CONCLUSIONS

Although self-reported health was similar across different age and sex stratified subgroups, women (particularly older women) are significantly more likely to have worse physical and functional health than men. After adjusting for all confounding factors, men are at substantially greater risk for mortality despite reporting better health and functional performance.

Area- and Individual-Level Correlates of Self-Rated Health: Implications for Geographic Health Disparities

BACKGROUND

Self-rated health (SRH) is a common measure of overall health. However, little is known about multilevel correlates of physical and mental SRH.

METHODS

Patients attending primary care clinics completed a survey before their appointment, which we linked to community data from American Community Survey and other sources (n = 455). We conducted multilevel logistic regression to assess correlates of excellent/very good versus good/fair/poor physical and mental SRH.

RESULTS

43.9% of participants had excellent/very good physical SRH, and 55.2% had excellent/very good mental SRH. Physical SRH was associated with age (odds ratio[OR] = 0.82 per 10 years; 95% confidence interval[CI] = 0.72-0.93) and community correlates, including retail establishment density (OR = 0.94, 95% CI = 0.90-0.99) and percent of students eligible for free/reduced lunch (OR = 1.60, 95% CI = 1.08-2.38) (all P < .05). Mental SRH was not associated with any characteristics.

CONCLUSIONS

Practitioners in public health, social work, and medicine could use zip codes to intervene in patients and communities to improve physical SRH.

The Impact of Sedentary Behavior and Self-Rated Health on Cardiovascular Disease and Cancer among South Korean Elderly Persons Using the Korea National Health and Nutrition Examination Survey (KNHANES) 2014-2018 Data

Cardiovascular disease and cancer have increased the risk of mortality and morbidity in elderly persons worldwide. The aim of this study was to investigate the association of sedentary behavior and self-rated health with cardiovascular disease or cancer in elderly people. The data of 6785 elderly persons aged above 65 years from the Korea National Health and Nutrition Examination Survey 2014-2018 were examined. Binary logistic regression analyses assessed the association of sedentary behavior, self-rated health, and other risk factors with cardiovascular disease or cancer. Prolonged sedentary behavior in elderly people was associated with a high risk for cardiovascular disease (odds ratio (OR): 1.28, 95% confidence interval (CI): 1.08-1.52). There was a high risk for cardiovascular disease (OR: 2.36, 95% CI: 1.85-3.01) or cancer (OR: 1.48, 95% CI: 1.17-1.88) in elderly people who had poor self-rated health. This study identified the association between prolonged sedentary behavior and cardiovascular disease, and between poor self-rated health and cancer. Since prolonged sedentary behavior is related to cardiovascular disease, efforts are needed to reduce sedentary behavior hours and maintain good self-rated health.