The association between self-rated health and underlying biomarker levels is modified by age, gender, and household income: Evidence from Understanding Society - The UK Household Longitudinal Study

Neutrophil-to-Lymphocyte Ratio as a Prognostic Biomarker for Long-Term Survival in Older Adults at a Mental Health Care Center: A Historical Cohort Analysis

Background/Objectives: Identifying reliable biomarkers for healthy aging and longevity is a fundamental challenge in aging research and medical sciences. The neutrophil-to-lymphocyte ratio (NLR) is a readily measurable indicator of immune balance that reflects the interplay between innate immune activation and adaptive immune suppression. Methods: This study examined NLR values in 204 physically healthy residents (98 men and 106 women) stratified into four lifespan categories based on death certificates. Page's test and ordinal regression (Cumulative Link Model) were used to assess trends with longevity. Results: In men, a downward trend in NLR values was observed. In women, a significant age-related decline in NLR was identified, with longer-lived individuals showing notably lower NLR values compared to their shorter-lived counterparts. The findings suggest that lower NLR is associated with longer survival, particularly in older women, reflecting superior immune regulation and reduced systemic inflammation. Conversely, elevated NLR may indicate immune dysfunction and heightened inflammatory burden. Conclusions: The results of this study complement existing findings, reinforcing the critical importance of immune balance in supporting healthy aging and longevity. These findings also underscore the potential of NLR as a robust biomarker for evaluating immune function and anticipating resilience to age-related decline, offering a practical tool for assessing immune health in the aging population.

Does socioeconomic status modify how individuals perceive or describe their own health? An assessment of reporting heterogeneity in the Health Survey for England

Background

Self-reported health (SRH) is widely used as a proxy for health status; it is a simple, holistic measure of health and has been associated with other health outcomes. However, variation in these associations has been found by subgroup, leaving open the possibility of systematic reporting differences, including by socioeconomic status.

Methods

Using data from the 2017 and 2018 waves of the Health Survey for England, we assessed the relationship between deprivation quintile and SRH using multiple linear regression models for EQ-5D score, a health-related quality of life measure. Reporting heterogeneity between deprivation quintiles was assessed by the significance of model interaction terms. Analyses were stratified by sex and accounted for age group, ethnicity, marital status and religion (females only).

Results

Significant interactions were found between deprivation quintile and SRH in the models for EQ-5D score for participants reporting poor health in the two most deprived quintiles, with coefficients ranging from -0.041 to -0.098. The largest differences were in the second most deprived quintile for men (-0.075, 95% CI: -0.110 to -0.040, p<0.001) and the most deprived quintile for women (-0.098, 95% CI: -0.128 to -0.067, p<0.001). Secondary analyses using body mass index as the response variable, for models structured in a similar way to those for EQ-5D, found no significant interaction terms between deprivation quintile and SRH.

Conclusions

This analysis suggests that people from more deprived areas who report themselves to be in poor health may have worse health, as measured by EQ-5D, than those from less deprived areas. This could lead to an underestimation of health inequalities, including in measures, such as healthy life expectancy in England, that incorporate SRH data.

Salivary and Serum Analytes and Their Associations with Self-rated Health Among Healthy Young Adults

BACKGROUND

Understanding the biological processes underlying poor self-rated health (SRH) can inform prevention efforts. The COVID-19 pandemic highlighted the importance of using self-reported measures and self-collected biospecimens, such as saliva, to understand physiological functioning and assist with health surveillance and promotion. However, the associations between salivary analytes and SRH remain understudied. The current study addresses this gap.

METHODS

In a laboratory-based study, 99 healthy adults (Mage = 23.8 years, SD = 4.5, 55% men, 43% non-Hispanic White) reported their SRH and provided saliva and blood samples that were assayed for adiponectin, C-reactive protein (CRP), uric acid (UA), and cytokines (IL-1β, IL-6, IL-8, TNF-α). Principal component analyses assessed the component loadings and generated factor scores for saliva and serum analytes. Binary logistic regressions examined the associations between these components and poor SRH.

RESULTS

Salivary analytes loaded onto two components (component 1: adiponectin and cytokines; component 2: CRP and UA) explaining 58% of the variance. Serum analytes grouped onto three components (component 1: IL-8 and TNF-α; component 2: CRP, IL-1β, and IL-6; component 3: adiponectin and UA) explaining 76% of the variance. Higher salivary component 1 scores predicted higher odds of reporting poor SRH (OR 1.53, 95%CI [1.10, 2.11]). Higher serum component 2 scores predicted higher odds of reporting poor SRH (OR 2.37, 95%CI [1.20, 4.67]). When examined in the same model, salivary component 1 (OR 1.79, 95%CI [1.17, 2.75]) and serum component 2 were associated with poorer SRH (OR 7.74, 95%CI [2.18, 27.40]).

CONCLUSIONS

In our sample, whether measured in saliva or serum, indices of inflammatory processes were associated with SRH.

Designing a generic, adaptive protocol resource for the measurement of health impact in cash transfer pilot and feasibility studies and trials in high-income countries

INTRODUCTION

In the context of the COVID-19 pandemic, upstream interventions that tackle social determinants of health inequalities have never been more important. Evaluations of upstream cash transfer trials have failed to capture comprehensively the impacts that such systems might have on population health through inadequate design of the interventions themselves and failure to implement consistent, thorough research measures that can be used in microsimulations to model long-term impact. In this article, we describe the process of developing a generic, adaptive protocol resource to address this issue and the challenges involved in that process. The resource is designed for use in high-income countries (HIC) but draws on examples from a UK context to illustrate means of development and deployment. The resource is capable of further adaptation for use in low- and middle-income countries (LMIC). It has particular application for trials of Universal Basic Income but can be adapted to those covering other kinds of cash transfer and welfare system changes.

METHODS

We outline two types of prospective intervention based on pilots and trials currently under discussion. In developing the remainder of the resource, we establish six key principles, implement a modular approach based on types of measure and their prospective resource intensity, and source (validated where possible) measures and baseline data primarily from routine collection and large, longitudinal cohort studies. Through these measures, we seek to cover all areas of health impact identified in our theoretical model for use in pilot and feasibility studies.

RESULTS

We find that, in general, self-reported measures alongside routinely collected linked respondent data may provide a feasible means of producing data capable of demonstrating comprehensive health impact. However, we also suggest that, where possible, physiological measures should be included to elucidate underlying biological effects that may not be accurately captured through self-reporting alone and can enable modelling of long-term health outcomes. In addition, accurate self-reported objective income data remains a challenge and requires further development and testing. A process of development and implementation of the resource in pilot and feasibility studies will support assessment of whether or not our proposed health outcome measures are acceptable, feasible and can be used with validity and reliability in the target population.

DISCUSSION

We suggest that while Open Access evaluation instruments are available and usable to measure most constructs of interest, there remain some areas for which further development is necessary. This includes self-reported wellbeing measures that require paid licences but are used in a range of nationally important longitudinal studies instead of Open Access alternatives.

The Mediation Effect of Perceived Attitudes toward Medical Service on the Association between Public Satisfaction with the Overall Medical Service and Self-Rated Health among the General Population in China: A Cross-Sectional Study

This study aimed to examine the association between public satisfaction with the overall medical service and individuals' self-rated health among 18,852 Chinese adults aged 16-60 years by using data from the 2018 China Family Panel Studies. We further test whether such an association is mediated by perceived attitudes toward the medical service. The logistic regression model is used to explore the association between public satisfaction with the overall medical service and individuals' self-rated health (SRH) outcomes. Mediation analysis was conducted by using the Karlson-Holm-Breen (KHB) method. We found that public satisfaction with the overall medical service was associated with good SRH. Additional results indicated that the association between public satisfaction with the overall medical service and SRH was significantly mediated by perceived attitudes toward the medical service. The degree of mediation is much larger for individuals' satisfaction with the level of medical expertise than for trusting in doctors, attitudes toward medical service problems, and the attitude toward the level of the hospital. Targeted medical policy interventions are designed to promote individuals' perceived attitudes toward the medical service, which might help to improve individuals' health benefits.

Aging and self-reported health in 114 Latin American cities: gender and socio-economic inequalities

BACKGROUND

Understanding how urban environments influence people's health, especially as individuals age, can help identify ways to improve health in the rapidly urbanizing and rapidly aging populations.

OBJECTIVES

To investigate the association between age and self-reported health (SRH) in adults living in Latin-American cities and whether gender and city-level socioeconomic characteristics modify this association.

METHODS

Cross-sectional analyses of 71,541 adults aged 25-97 years, from 114 cities in 6 countries (Argentina, Brazil, Colombia, Chile, El Salvador, and Guatemala), as part of the Salud Urbana en America Latina (SALURBAL) Project. We used individual-level age, gender, education, and self-reported health (SRH) data from harmonized health surveys. As proxies for socioeconomic environment we used a city-level socioeconomic index (SEI) calculated from census data, and gross domestic product (GDP) per-capita. Multilevel Poisson models with a robust variance were used to estimate relative risks (RR), with individuals nested in cities and binary SRH (poor SHR vs. good SRH) as the outcome. We examined effect modification by gender and city-level socioeconomic indicators.

RESULTS

Overall, 31.4% of the sample reported poor SRH. After adjusting for individual-level education, men had a lower risk of poor SRH (RR = 0.76; CI 0.73-0.78) compared to women, and gender modified the association between age and poor SRH (p-value of interaction < 0.001). In gender stratified models, the association between older age and poor SRH was more pronounced in men than in women, and in those aged 25-65 than among those 65+ (RR/10 years = 1.38 vs. 1.10 for men, and RR/10 years = 1.29 vs. 1.02 for women). Living in cities with higher SEI or higher GDP per-capita was associated with a lower risk of poor SRH. GDP per-capita modified the association between age (25-65) and SRH in men and women, with SEI the interaction was less clear.

CONCLUSIONS

Across cities in Latin America, aging impact on health is significant among middle-aged adults, and among men. In both genders, cities with lower SEI or lower GDP per-capita were associated with poor SRH. More research is needed to better understand gender inequalities and how city socioeconomic environments, represented by different indicators, modify exposures and vulnerabilities associated with aging.

General and comparative self-rated health in chronic stroke: an important outcome measure for health professionals

BACKGROUND

After a stroke, several aspects of health and function may influence how individuals perceive their own health. However, self-rated health (SRH), as well as its relationship with functioning, has been little explored in individuals with stroke. The aims of this study were to determine how individuals with chronic post-stroke disabilities evaluate their health, considering general, time- and age-comparative SRH questions and to investigate whether SRH measures would be influenced by the following health and functioning domains: mental/physical functions and personal factors.

METHODS

Sixty-nine individuals with chronic post-stroke disabilities answered the three types of SRH questions and were assessed regarding depressive symptoms (emotional function domain), physical activity levels (physical function domain), and engagement in physical activity practice (personal factor domain). Subjects were divided into the following groups: good/poor for the general SRH question; better, similar, and "worse" for both time- and age-comparative questions. Between-group differences in the three domains for each SRH question were investigated (α = 5%).

RESULTS

General SRH was rated as good by 73% of the participants. Time- and age-comparative SRH was rated as better by 36% and 47% and as similar by 31% and 28% of the subjects, respectively. Significant between-group differences in emotional function were found for both the general and age-comparative questions. For the time-comparative question, significant differences were only observed for physical function.

CONCLUSION

SRH evaluation differed in individuals with chronic post-stroke disabilities according to the types of questions and health/functioning domains.

Sex differences in the association between self-rated health and high-sensitivity C-reactive protein levels in Koreans: a cross-sectional study using data from the Korea National Health and Nutrition Examination Survey

BACKGROUND

No studies have investigated the association between self-rated health (SRH) and high-sensitivity C-reactive protein (hs-CRP) levels in South Koreans. We explored this association and analyzed differences between sexes.

METHODS

Using cross-sectional data from the 2015-2017 Korea National Health and Nutrition Examination Survey, we analyzed the association between SRH and high hs-CRP levels (> 1.0 mg/L) in 14,544 Koreans aged ≥ 19 years who responded to the SRH survey and had available hs-CRP test results. Differences in sociodemographic factors were analyzed using the Pearson's chi-square test for categorical variables or the Mann-Whitney U test for continuous variables. Multiple logistic regression analysis was used to measure the association between hs-CRP levels and SRH according to sex while adjusting for other possible confounders.

RESULTS

The percentage of very poor to poor SRH was higher in the high hs-CRP group (22.4%) than in the low hs-CRP group (17.66%). Among men, the risk of a high hs-CRP level increased with worse SRH (adjusted for confounders; P for trend < 0.001). After adjusting for all confounders, including chronic diseases, men with very poor SRH showed a higher odds ratio (OR) for high hs-CRP levels than those with very good SRH (fully adjusted OR, 1.74; 95% CI, 1.04-2.90). Significant correlations were absent among women.

CONCLUSIONS

Poor SRH was correlated with low-grade inflammation (high hs-CRP levels) among Korean male adults. These findings could be useful for developing health improvement programs and in goal setting at a national scale.

Mapping intersectional inequalities in biomarkers of healthy ageing and chronic disease in older English adults

Chronic diseases and their inequalities amongst older adults are a significant public health challenge. Prevention and treatment of chronic diseases will benefit from insight into which population groups show greatest risk. Biomarkers are indicators of the biological mechanisms underlying health and disease. We analysed disparities in a common set of biomarkers at the population level using English national data (n = 16,437). Blood-based biomarkers were HbA1c, total cholesterol and C-reactive protein. Non-blood biomarkers were systolic blood pressure, resting heart rate and body mass index. We employed an intersectionality perspective which is concerned with how socioeconomic, gender and ethnic disparities combine to lead to varied health outcomes. We find granular intersectional disparities, which vary by biomarker, with total cholesterol and HbA1c showing the greatest intersectional variation. These disparities were additive rather than multiplicative. Each intersectional subgroup has its own profile of biomarkers. Whilst the majority of variation in biomarkers is at the individual rather than intersectional level (i.e. intersections exhibit high heterogeneity), the average differences are potentially associated with important clinical outcomes. An intersectional perspective helps to shed light on how socio-demographic factors combine to result in differential risk for disease or potential for healthy ageing.