The relationship between healthcare access and change in health-related quality-of-life among the general population of five countries during the COVID-19 pandemic.

PURPOSE: To determine whether (1) healthcare access at onset of the pandemic and (2) age, gender, socioeconomic status (SES), and pre-existing health status were associated with change in health-related quality-of-life (HRQoL) during the COVID-19 pandemic. The study includes a general population sample of five countries. METHODS: An online questionnaire was administered to respondents from Greece, Italy, the Netherlands, the UK, and the US at the onset of the COVID-19 pandemic between April 22nd and May 5th of 2020, and 1 year later between May 23rd and June 29th of 2021. The questionnaire included questions on demographic background, health status, and HRQoL. The primary outcome was change in HRQoL as measured by the EQ-5D-5L instrument. Specifically, the EQ-5D-5L index and EQ VAS were used. Healthcare access was quantified with regard to the respondent's ease of getting an appointment, waiting time, and opportunity to contact the provider and during analysis dichotomized into "sufficient" versus "insufficient". Linear regression analysis was performed with change in HRQoL as dependent variable and background variables as independent variables. RESULTS: In total, 6,765 respondents completed the second questionnaire. 19.8% of total respondents reported insufficient healthcare access. Respondents with insufficient healthcare had both more improved and deteriorated HRQoL compared to respondents with sufficient healthcare, whose HRQoL remained unchanged. We did not find significant interactions between age, gender, SES and/or chronic disease status with healthcare access at onset of the COVID-19 pandemic. CONCLUSION: Healthcare access was not associated with cumulative differences in change in HRQoL over a 1-year period in strata of age, gender, SES, and chronic disease status.

Ranking the Ten Adverse Childhood Experiences: Long-Term Consequences to Health-Related Quality of Life.

INTRODUCTION: This study compared the long-term harmful consequences of individual adverse childhood experiences (ACEs) to subsequent health-related quality of life (HRQOL) among U.S. adults. METHODS: Respondents were from the eleven U.S. states that included the optional ACE module questionnaire in the 2021 Behavioral Risk Factor Surveillance Systems (BRFSS). Relative importance (RI) was estimated for ten ACEs to respondents' self-rated general health (SRGH), physically unhealthy days (PUD), mentally unhealthy days (MUD), and activity limitation days (ALD). A variable's importance was measured as the average gains in R-squared after adding the variable to all sub-models. Statistical analysis was performed in 2023. RESULTS: After controlling for demographics, household mental illness was the most important ACE for SRGH, MUD, and ALD, with RIs of 16.4, 28.4 and 23.4, respectively. This ACE was ranked second for PUD (RI=17.8). Sexual abuse was ranked first for PUD (18.7), second for MUD (16.6) and ALD (20.9), and fifth for SRGH (10.4). Parental separation (RI ≤2.4) and incarcerated household member (2.8-5.4) were the least important ACEs for all 4 outcomes. Sexual abuse, parental separation, emotional abuse, and basic needs were not met were considerably more important among females while household mental illness and household substance abuse were more important among males. CONCLUSIONS: This study highlight that certain ACEs play a greater role than others for HRQOL with certain ACEs having a greater relative importance according to sex. Additionally, a significant proportion of the long-term impacts of ACE to HRQOL was indirectly through the mediation effect of other explanatory variables.

Relative importance of selected predictors of health-related quality-of-life (HRQOL) among U.S. adults.

PURPOSE: Many factors have been associated with health-related quality of life (HRQOL), and researchers often have tried to rank these contributing factors. Variable importance quantifies the net independent contribution of each individual predictor in a set of predictors to the prediction accuracy of the outcome. This study assessed relative importance (RI) of selected contributing factors to respondents' physically unhealthy days (PUD), mentally unhealthy days (MUD), activity limitation days (ALD), and EuroQol EQ-5D index derived from the Healthy Days measures (dEQ-5D). METHODS: Using data from the 2021 Behavioral Risk Factor Surveillance Systems (BRFSS), we estimated the RI of seven socio-demographics and seventeen chronic conditions and risk behaviors. A variable's importance was measured as the average increase in the coefficient of determination after adding the variable to all possible sub-models. RESULTS: After controlling for socio-demographics, arthritis and no physical activity were the most important variables for PUD with a RI of 10.5 and 10.4, respectively, followed by depression (RI = 8.5) and COPD (RI = 8.3). Depression was the most important variable for MUD with RI = 23.0 while all other 16 predictors had a RI < 7.0. Similar results were observed for ALD and dEQ-5D: depression was the most important predictor (RI = 16.3 and 15.2, respectively), followed by no physical activity, arthritis, and COPD (RI ranging from 7.1 to 9.2). CONCLUSION: This study quantified and ranked selected contributing factors of HRQOL. Results of this analysis also can be used to validate HRQOL measures based on domain knowledge of HRQOL.

Exploring the Comparability Between EQ-5D and the EQ Health and Wellbeing in the General Australian Population.

OBJECTIVES: The EQ Health and Wellbeing (EQ-HWB) is a novel measure that conceptually overlaps with the 5-level EQ-5D (EQ-5D-5L) while capturing broader dimensions of health and well-being. This study aimed to explore the extent to which the EQ-HWB and EQ-5D-5L capture overlapping or complementary constructs and to explore the discriminative ability of the EQ-HWB Short version (EQ-HWB-S) as a multiattribute utility instrument in the Australian setting. METHODS: A secondary analysis of data from a nationally representative cross-sectional survey of 2002 Australian adults was performed. The survey included socioeconomic questions and health characteristics and the EQ-HWB and EQ-5D-5L instruments. Convergent and known-group validity were evaluated through Spearman rank correlation and multivariable regression analyses, respectively. An exploratory factor analysis was also performed to explore the underlying constructs of the 2 measures. RESULTS: Correlation coefficients varied from moderate to strong (rs ≥ 0.40) between the EQ-5D-5L and the corresponding EQ-HWB dimensions (all P < .001). Based on the exploratory factor analysis, both instruments measure similar underlying constructs, with the EQ-HWB capturing broader aspects of well-being. The known-group analysis demonstrated the relative discriminative ability of the EQ-HWB-S in capturing broader aspects of health and well-being. CONCLUSIONS: The EQ-HWB was at least moderately correlated with the EQ-5D-5L in overlapping domains/dimensions and demonstrated greater sensitivity in participants with mental health problems versus the EQ-5D-5L. Our findings support future research exploring the value of the EQ-HWB-S as a multiattribute utility instrument for the general Australian population.

An Intersectional Approach to Quantifying the Impact of Geographic Remoteness and Health Disparities on Quality-Adjusted Life Expectancy: Application to Australia.

OBJECTIVES: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a novel method for exploring the interaction between sociodemographic characteristics that affect health outcomes. This study explores the interaction between geographic remoteness and socioeconomic status on health outcomes in Australia from an intersectional perspective. METHODS: Data from a cross-sectional survey were matched with data from the Australian Bureau of Statistics and the Australian Institute of Health and Welfare. To explore the effect of health-related quality of life on life expectancy, quality-adjusted life expectancy (QALE) was estimated through applying utility values derived from the EQ-5D-5L to life table data from the Australian Bureau of Statistics. The effect of geographic remoteness on QALE was quantified using multivariable linear regression. An intersectional MAIHDA was performed to explore differences in mean QALE across strata formed by intersections of age, sex, and Socioeconomic Indexes for Areas score. RESULTS: Based on multivariable linear modeling, QALE declined significantly with increasing remoteness (inner regional, -1.0 years [undiscounted]; remote/very remote, -3.3 years [undiscounted]) (P < .001). In contrast, life expectancy was only significantly different between participants in remote/very remote areas and major cities (ß-coefficient, -2.4; 95% CI -4.4 to -0.4; P = .016). No intersectional interaction effects between strata on QALE were found in the MAIHDA. CONCLUSIONS: QALE has considerable value as a metric for exploring disparities in health outcomes. Given that no intersectional interactions were identified, our findings support broad interventions that target the underlying social determinants of health appropriately reduce disparities versus interventions targeting intersectional interactions.

Construct validity and responsiveness of a health-related symptom index for persons either treated or monitored for anal high-grade squamous intraepithelial lesions (HSIL): AMC-A01/-A03.

PURPOSE: To determine whether treatment of anal high-grade squamous intraepithelial lesions (HSIL), vs active monitoring, is effective in reducing incidence of anal cancer in persons living with HIV, the US National Cancer Institute funded the Phase III ANal Cancer/HSIL Outcomes Research (ANCHOR) clinical trial. As no established patient-reported outcomes (PRO) tool exists for persons with anal HSIL, we sought to estimate the construct validity and responsiveness of the ANCHOR Health-Related Symptom Index (A-HRSI). METHODS: The construct validity phase enrolled ANCHOR participants who were within two weeks of randomization to complete A-HRSI and legacy PRO questionnaires at a single time point. The responsiveness phase enrolled a separate cohort of ANCHOR participants who were not yet randomized to complete A-HRSI at three time points: prior to randomization (T1), 14-70 (T2), and 71-112 (T3) days following randomization. RESULTS: Confirmatory factor analysis techniques established a three-factor model (i.e., physical symptoms, impact on physical functioning, impact on psychological functioning), with moderate evidence of convergent validity and strong evidence of discriminant validity in the construct validity phase (n = 303). We observed a significant moderate effect for changes in A-HRSI impact on physical functioning (standardized response mean = 0.52) and psychological symptoms (standardized response mean = 0.60) from T2 (n = 86) to T3 (n = 92), providing evidence of responsiveness. CONCLUSION: A-HRSI is a brief PRO index that captures health-related symptoms and impacts related to anal HSIL. This instrument may have broad applicability in other contexts assessing individuals with anal HSIL, which may ultimately help improve clinical care and assist providers and patients with medical decision-making.

Cross-sectional and longitudinal comparison of health-related quality of life and mental well-being between persons with and without post COVID-19 condition.

Background: Still little is known about the impact of post COVID-19 condition (PC) on health-related quality of life (HRQOL) and mental well-being. We compared participants with PC with three groups: an acute COVID-19 infection (AC) only, at least one chronic condition (CC) but no COVID-19, or no condition at all, healthy (PH). Between these disease groups, we also estimated and compared HRQOL and mental well-being change over time. Methods: Participants from six countries (Greece, Italy, Netherlands, Sweden, United Kingdom and United States) completed two web-based questionnaires (T1 = April-May 2020 and T2 = April-June 2022). Primary outcomes were HRQOL, measured by EQ-5D-5L and EQ VAS, and mental well-being (measured by World Health Organisation-Five (WHO-5) Well-Being Index, Patient Health Questionnaire (PHQ)-9 and General Anxiety Disorder (GAD)-7). All analyses were stratified by the disease groups. Results: In total, 4,999 participants filled out both surveys: 240 were in PC, 107 in AC, 1798 in CC and 2,854 in PH. At T2, the mean EQ-5D-5L index values for the PC, AC, CC and PH groups were 0.70, 0.73, 0.75 and 0.92 (p < .001), respectively. Mean EQ VAS scores were 66, 65, 68 and 81 (p < .001), respectively. Poor mental well-being, depression and anxiety mean values were highest in the PC group (47.7; 9.1; 7.4), followed by the AC group (51.1; 7.7; 5.7), CC group (56.1; 5.2; 4.2) and the PH group (65.6; 2.8; 2.5), respectively (p < .001 between groups). Over time, HRQOL deteriorated in all groups, apart from the PH group. We observed the largest deterioration in the CC (EQ-5D-5L index: Δ0.03, p < .001) and AC group (EQ VAS: Δ6.3, p < .001). For the mental well-being outcomes, deterioration for WHO-5 and PHQ-9 were largest in the AC group (Δ4.8, p = .016; Δ-1.3, p = .012). Rates for GAD-7 improved for the PH and CC groups (PH: Δ1.27, CC: Δ0.56, p < .001). Conclusions: In the cross-sectional analysis, participants with PC had the worst HRQOL and mental well-being compared to the other groups. In terms of change since the start of the COVID-19 pandemic, HRQOL and mental well-being deterioration was highest among AC participants and had a lower impact among PC participants, most likely due to pre-existing chronic disease.

Use of a microsimulation method for assessing dynamics of smoking status and gains in life expectancy after quitting in a longitudinal cohort of US older adults.

OBJECTIVES: Previous studies were unable to estimate the dynamics of smoking status in the US elderly general population, and no study has assessed the benefit of quitting in terms of resultant gains in life expectancy. We proposed a novel method to estimate the per cent of quitting in remaining lifetime, successful quitting and relapse, as well as life expectancy by participants' baseline smoking status. DESIGN: Longitudinal cohort. SETTING: US community-dwelling population. PARTICIPANTS: Respondents from the Medicare Health Outcome Survey Cohort 15 (baseline 2012, follow-up 2014). We included respondents who were aged ≥65 years and alive at the baseline and participated in the baseline survey (n=164 597).Primary and secondary outcome measuresAttempt quitting, successful quitting, relapse rates and life expectancy by smoking status at age 65-95 years. RESULTS: Among daily smokers aged 65 years, 61% would attempt to quit during their remaining lifetime, and 31% would quit successfully. Among some days smokers aged 65 years, 69% would attempt to quit during their remaining lifetime, and 37% would quit successfully. Among recent ex-smokers aged 65 years, 53% would relapse. Life expectancy at age 65 years was 20.0 (SE=0.27), 17.2 (SE=0.30), 16.2 (SE=0.29) and 15.9 (SE=0.29) years for long time non-smokers, recent ex-smokers, some days smokers and daily smokers, respectively. Although recent ex-smokers had a higher 2-year mortality than current smokers, those who quit up to 77 years (77 years for men and 87 years for women) had a significantly longer (p<0.05) life expectancy. Sensitivity analysis demonstrated that the model assumptions had a relatively small impact on estimates with a maximum relative bias within ±7%. CONCLUSIONS: This study provides detailed information regarding the dynamics of smoking status in an understudied and growing population and demonstrates the benefit of smoking cessation on life expectancy. Future research should focus on understanding specific predictors of smoking cessation.

Anxiety, depression, and social connectedness among the general population of eight countries during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic affected the mental health of the general population through multiple pathways. The aim of this study was to examine anxiety, depression, self-confidence, and social connectedness among the general population of eight countries during the COVID-19 pandemic, their underlying factors, and vulnerable groups. METHODS: A web-based survey was administered to persons from the general population of China, Greece, Italy, Netherlands, Russia, Sweden, the United Kingdom, and the United States. The survey included the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and items on self-confidence, social connectedness, and socio-demographics. Data were analyzed with descriptive statistics, exploratory factor analysis and regression analysis. RESULTS: Twenty-three thousand six hundred twenty-two respondents completed the survey. Overall, 42% of the total sample had mild to severe anxiety symptoms and 43% had mild to severe depression symptoms. 14% to 38% reported suboptimal ratings in self-confidence, social participation, contact with family and friends, and feeling connected to others. In the exploratory factor analyses, in most countries, one dominant factor had a high influence on GAD-7, PHQ-9 sum scores and self-confidence with eigenvalue (% variance) above 3.2 (53.9%). One less dominant factor had a high influence on social connectedness scores with eigenvalue (% variance) ranging above 0.8 (12.8%). Being younger, female, having chronic conditions, perceived as risky to COVID-19 infection, and feeling not very well protected against COVID-19 were significantly associated with the two underlying factors. CONCLUSIONS: Anxiety, depression, and problems with self-confidence and social connectedness were highly prevalent in the general population of eight countries during the early phase of the COVID-19 pandemic. This highlights the importance of the allocation of additional resources to implement policies to mitigate the impact of the pandemic on mental health.

Health-Related Quality of Life and Mental Well-Being during the COVID-19 Pandemic in Five Countries: A One-Year Longitudinal Study.

This study aimed to investigate socioeconomic and health-related determinants and recent life events and their relation to changes in health-related quality of life (HRQoL) and mental well-being during the first year of the COVID-19 pandemic. A web-based survey was administered repeatedly to participants from Greece, Italy, the Netherlands, the United Kingdom, and the United States. Primary outcome measures were HRQoL (measured by EQ-5D-5L) and mental well-being (measured by WHO-5). Linear regression analyses were performed to estimate the impact of determinants on HRQoL and well-being. In total, 6765 respondents completed the questionnaire at T1 (April-May 2020) and T2 (May-June 2021). Regarding results, 33% showed improved HRQoL at T2, whereas 31% deteriorated. In terms of mental well-being, 44% improved and 41% deteriorated. The greatest deterioration in HRQoL and mental well-being from T1 to T2 was observed with an increasing number of chronic conditions. The effect of negative life events on HRQoL and mental well-being was larger than the effect of positive life events. We conclude that slightly more respondents showed improved rather than deteriorated HRQoL and mental well-being, with some variation by outcome measure and country.

Linguistic validation of the Spanish version of the Anal Cancer High-Grade squamous intraepithelial lesions outcomes Research Health-Related Symptom Index (A-HRSI): AMC-A04.

OBJECTIVES: The Anal Cancer High-grade squamous intraepithelial lesions (HSIL) Outcomes Research (ANCHOR) Health-Related Symptom Index (A-HRSI) is a 25-item measure that assesses physical symptoms and impacts, and psychological symptoms. To promote generalizability and equity in the capture of these concepts in Spanish-speaking participants, we linguistically validated a Spanish version of A-HRSI. METHODS: Following independent forward translation and reconciliation of A-HRSI from English to Spanish, two rounds of cognitive interviews were completed with ANCHOR participants who had been diagnosed with anal HSIL in the prior nine months and preferred delivery of their healthcare in Spanish. Interviews were coded to highlight any items and concepts that were reported as being difficult for any reason by ≥ 3 participants, with such items revised during a research team panel discussion and tested in a second round of interviews if applicable. RESULTS: Seventeen participants representing 8 nationalities were enrolled (Round 1 n=10, Round 2 n=7); 7 participants reported not completing high school (41.2%). No difficulties were reported with respect to the theoretical concepts measured by A-HRSI. We made modifications to the Spanish translation of eight items and two response option terms in cases where participants had difficulty understanding a term, experienced problems in discriminating between terms, or preferred the use of an alternative term to represent the concept(s). CONCLUSION: The Spanish version of A-HRSI is a linguistically valid tool that can be used to assess physical symptoms, impacts, and psychological symptoms related to anal HSIL. Language is a tremendous barrier to enrolling patients to clinical trials. The anal cancer high-grade squamous intraepithelial lesions (HSIL) outcomes research [ANCHOR] trial is a randomized clinical trial that recently established that the treatment of anal HSIL, versus active monitoring, is effective in reducing incidence of anal cancer in persons living with HIV (PLWH). The ANCHOR Health-Related Symptom Index (A-HRSI) is a 25-item patient-reported outcomes measure that was developed to assess physical symptoms, physical impacts, and psychological symptoms related to anal HSIL. As approximately 10% of ANCHOR participants preferred the delivery of their healthcare in Spanish, the purpose of the present study was to linguistically validate a Spanish version of A-HRSI. Based on feedback from interviews with 17 participants from the ANCHOR trial who had been diagnosed with anal HSIL in the prior nine months and preferred delivery of their healthcare in Spanish, we made modifications to the Spanish translation of eight items and two response option terms in cases where participants had difficulty understanding a term, experienced problems in discriminating between terms, or preferred the use of an alternative term to represent the concept(s). The Spanish version of A-HRSI is a linguistically valid tool that can be used to assess physical symptoms, impacts, and psychological symptoms related to anal HSIL as part of clinical trials or routine care.

Examining the Impact of COVID-19 on Upper Manhattan Community-Based Organizations: A Qualitative Analysis of Employee Focus Groups.

Community-based organizations (CBOs) play a key role in assisting local communities, especially those in under-resourced areas, through their deep knowledge of the community's needs and available resources. We examined perceptions of COVID-19's impact on health-related services in CBOs located in Upper Manhattan, New York City (serving East Harlem, Central Harlem, Morningside Heights and Hamilton Heights, and Washington Heights and Inwood). Three focus groups were conducted on Zoom in November 2020; focus groups were composed of participants employed at CBOs in this catchment area. Deidentified interview transcripts were evaluated using an iterative process of thematic content analysis. We identified five major themes related to the impact of COVID-19 on community needs: 1) increased mistrust and decreased service utilization, 2) breakdowns in communication, 3) shift in need, 4) increased risk factors for negative health outcomes among staff and community, and 5) decreased funding and an uncertain future. Because of the pandemic, CBOs have pivoted to cater to the immediate and changing needs of the community and, in doing so, revised their menu of services as well as their service delivery model. In trying to maintain connectivity with and the trust of community members, participants had to construct novel strategies and develop new outreach strategies; participants also recognized the role strain of trying to balance community needs with home responsibilities. Given these findings, concern arises around the long-term health and well-being of community members and participants. The government must provide the necessary resources to ensure the viability of CBOs and create a stronger infrastructure for future emergencies.

Health inequities as measured by the EQ-5D-5L during COVID-19: Results from New York in healthy and diseased persons.

INTRODUCTION: The effects of the COVID-19 pandemic caused considerable psychological and physical effects in healthy and diseased New Yorkers aside from the effects in those who were infected. We investigated the relationship between known risk-enhancing and health-promoting factors (social and medical), comorbidity indicators, and, as the primary outcome, health-related quality of life (HRQoL). METHODS: Between April 22 and May 5, 2020, a market research agency (Dynata) administered a digital survey including the EQ-5D-5L and items related to individual characteristics, social position, occupational and insurance status, living situation, exposures (smoking and COVID-19), detailed chronic conditions, and experienced access to care to an existing internet panel representative of New Yorkers. RESULTS: 2684 persons completed the questionnaire. The median age was 48 years old, and most respondents were non-Hispanic white (74%) and reported at least higher vocational training or a university education (83%). During COVID-19, mean HRQoL scores were 0.82 for the EQ-5D-5L index and 79.3 for the EQ VAS. Scores varied for healthy and diseased respondents differently by the above determinants. Lower age, impaired occupational status, loss of health insurance, and limited access to care exerted more influence on EQ-5D-5L scores of diseased persons compared to healthy persons. Among diseased persons, the number of chronic conditions and limited access to health care had the strongest association with EQ-5D-5L scores. While EQ-5D-5L scores improved with increasing age, gender had no noticeable effect. Deprivation factors showed moderate effects, which largely disappeared in (stratified) multivariable analysis, suggesting mediation through excess chronic morbidity and poor healthcare access. Generally, modifying effects were larger in the EQ-5D-5L as compared to the EQ VAS. CONCLUSIONS: Almost all factors relating to a disadvantaged position showed a negative association with HRQoL. In diseased respondents, pre-existing chronic comorbidity and experienced access to health care are key factors.

Association between self-reported body mass index and active life expectancy in a large community-dwelling sample of older U.S. adults.

BACKGROUND: Obesity may have a protective effect (greater survival) in older adults, a finding known as the "obesity paradox." This study examined the association between self-reported body mass index (BMI) and active life expectancy (ALE) among older U.S. adults. METHODS: Using the Medicare Health Outcomes Survey Cohort 15 (2012 baseline, 2014 follow-up), we estimated life expectancy and ALE by participants' baseline BMI and age using multi-state models. A participant was classified as in an active state if this person reported having no difficulty for any of these six activities of daily living (ADLs). RESULTS: Small differences in life expectancy were noted among persons in normal weight (BMI 18.5-24.9 kg/m2), overweight (BMI 25-29.9 kg/m2), and obesity ranges (BMI 30 kg/m2 and higher). However, persons with obesity had a significantly lower ALE. ALE at age 65 was 11.1 (11.0-11.2) years for persons with obesity, 1.2 (1.1-1.3) years less than that for the normal weight and overweight persons (12.3 years for both, 12.2-12.4). Persons with class III obesity had a significantly lower life expectancy and ALE than normal weight persons. Although persons with class I or II obesity had a similar life expectancy as normal weight persons, they have a shorter ALE. CONCLUSIONS: Although older adults with obesity have a similar life expectancy as normal weight persons, they have a significantly shorter ALE. Given the complex relationship of BMI and ALE, a "one size fits all" approach to weight management is not advisable.

Health Inequality Analysis in Europe: Exploring the Potential of the EQ-5D as Outcome.

Objective: This study explored the additive value of the multi-item EuroQol 5-Dimension 5-Level (EQ-5D-5L) as an outcome measure in health inequality analyses, relative to the single-item EuroQol visual analog scale (EQ VAS). Methods: A sample comprising the general population from Italy, the Netherlands, and United Kingdom (UK) completed the EQ-5D-5L and the EQ VAS. The level of education was selected as a proxy for socio-economic status (SES). EQ-5D-5L level sum scores (LSS) were compared against EQ VAS scores. Stratified and multivariable analyses were used to study the associations between SES and the LSS/EQ VAS relative to the presence of chronic health conditions. Results: A total of 10,172 people participated in this study. In the UK and Netherlands, the LSS was worst for respondents with a low educational level and better for respondents with middle and high educational levels. For Italy, the LSS was best for respondents with a middle educational level compared to respondents with low and high educational levels. The same patterns were observed for the EQ VAS, but differences were slightly smaller. Multivariable analyses showed generally stronger predictive relations in the UK, and with the LSS. The presence of chronic health conditions and being unable to work were independent strong predictors, canceling out the effects of education. Conclusions: In three different European countries, the EQ-5D measures show the presence of education-dependent health inequalities, which are universally explained in regression analysis by independently the presence of chronic health conditions and the inability to work. In stratified analysis, the EQ-5D-5L LSS discriminates slightly better between participants with different levels of SES compared to the EQ VAS.

Health-related quality of life and mental well-being of healthy and diseased persons in 8 countries: Does stringency of government response against early COVID-19 matter?

OBJECTIVES: Our study aimed to (1) assess health-related quality of life (HRQoL) and mental well-being of healthy and diseased persons in the general population during the early stage of the COVID-19 pandemic and (2) examine the relationship between HRQoL and mental well-being and individual characteristics and government response against COVID-19, as measured by the stringency index. METHODS: A web-based survey was administered to a cohort of persons from the general population of eight countries: Greece, Italy, the Netherlands, Russia, South Africa, Sweden, the United Kingdom (UK) and the United States of America (US) from April 22 to May 5 and May 26 to June 1, 2020. Country-level stringency indices were adopted from the COVID-19 Government Response Tracker. Primary outcomes were HRQoL, measured using the EQ-5D-5L, and mental well-being, measured using the World Health Organization-5 Well-Being (WHO-5). FINDINGS: 21,354 respondents were included in the study. Diseased respondents had lower EQ-5D-5L and WHO-5 scores compared to healthy respondents. Younger respondents had lower WHO-5 scores than older respondents. The stringency index had a stronger association with the EQ-5D-5L and WHO-5 among diseased respondents compared to healthy respondents. Increasing stringency was associated with an increase in EQ-5D-5L scores but a decrease in the WHO-5 index. CONCLUSION: The stringency of government response is inversely related to HRQoL and mental well-being with a small positive relation with HRQoL and strong negative relation with mental well-being. The magnitude of effects differed for healthy and diseased persons and by age but was most favourable for diseased and older persons.

Life expectancy and active life expectancy by marital status among older U.S. adults: Results from the U.S. Medicare Health Outcome Survey (HOS).

BACKGROUND: Previous investigations of the relationship between marital status and life expectancy and healthy life expectancy rely on the assumption that participants will remain in a given marital status until death. This study estimated total life expectancy (TLE) and active life expectancy (ALE) for respondents by their baseline marital status using a large longitudinal sample of the U.S. community-dwelling elderly population. METHODS: Data were from the Medicare Health Outcomes Survey Cohort 15 (2012 baseline, 2014 follow-up). We included respondents aged ≥65 years (n = 164,597). Multi-state models estimated TLE and ALE by marital status to allow participants' marital status to change during the remaining lifetime. RESULTS: Between 65 and 85 years, married men and women had a longer TLE and ALE than unmarried men and women. For example, at 65 years, TLE for married men was 18.6 years, 2.2 years longer than unmarried men, and ALE for married men was 12.3 years, 2.4 years longer than unmarried men. Similarly, at 65 years, TLE for married women was 21.1 years, 1.5 years longer than unmarried women, and ALE for married women was 13.0 years, 2.0 years longer than unmarried women. Such marriage protection effects decreased with age. In subgroups of unmarried persons, never married persons had the shortest TLE and ALE among men, and never married, divorced, and widowed persons had a similar, and shorter, TLE and ALE among women. The difference in TLE between married and unmarried persons was smaller after adjusting for baseline activity limitation status. CONCLUSIONS: This study provides additional evidence for marriage's protective effect, with the magnitude of protection being greater for younger as compared to older persons. Selection bias was a large contributor to longer life expectancy among married persons.

Life expectancy and active life expectancy by disability status in older U.S. adults.

OBJECTIVES: The Medicare Health Outcome Survey (HOS) is the largest longitudinal survey of the U.S. community-dwelling elderly population. This study estimated total life expectancy, active life expectancy (ALE), and disability-free life expectancy (DFLE) by disability status among HOS participants. METHODS: Data were from the Medicare HOS Cohort 15 (baseline 2012, follow-up 2014). We included respondents aged ≥ 65 years (n = 164,597). Participants' disability status was assessed based on the following six activities of daily living (ADL): bathing, dressing, eating, getting in or out of chairs, walking, and using the toilet. The multi-state models were used to estimate life expectancy, ALE, and DFLE by participants' baseline disability status and age. RESULTS: Persons who had higher-level ADL limitations had a shorter life expectancy, ALE, and DFLE. Also persons with disability had greater expected life years with disability than those with no limitations and those with mild limitations. For example, among 65-year old respondents with no limitations, mild limitations, and disability, life expectancy was 19.9, 18.6, and 17.1 years, respectively; ALE was 14.0, 9.5, and 7.2 years, respectively; DFLE was 17.3, 15.2, and 11.4 years, respectively; and expected years with disability was 2.6, 3.4, and 5.7 years, respectively. CONCLUSIONS: This study demonstrated that greater levels of disability adversely impact life expectancy, ALE, DFLE, and expected number of years with a disability among U.S. older adults. Understanding levels of disability, and how these may change over time, would enhance health care quality and planning services related to home care and housing in this community-dwelling population.

Impact of adverse childhood experiences on quality-adjusted life expectancy in the U.S. population.

BACKGROUND: Adverse childhood experiences (ACEs) adversely impact morbidity and mortality. OBJECTIVE: To quantify burden of disease associated with ACEs among U.S. adults by estimating quality-adjusted life expectancy (QALE) according to number of ACEs reported. PARTICIPANTS AND SETTING: Data from respondents' adverse experiences occurring before age 18 were collected in nine states through the 2011 and 2012 Behavioral Risk Factor Surveillance System (BRFSS). METHODS: We estimated health-related quality of life (HRQOL) scores from BRFSS data. We constructed life tables from the Compressed Mortality Files to calculate QALE, a generalization of life expectancy that weights expected years of life lived with the HRQOL score, according to number of ACEs. RESULTS: The QALE for an 18-year-old person reporting 0, 1-2, and 3+ ACEs was 55.1, 53.4, and 45.6 years, respectively. Reporting 3+ ACEs was associated with a 9.5-year decrease (17%) in QALE. The adverse impact of ACEs are present according to age, gender, and race/ethnicity subgroups. The impact of 3+ ACEs on QALE was nearly 3-fold greater for women than men (13.2 vs. 4.7-year decrease). By contrast, an 18-year-old reporting 1-2 ACEs experienced a small decrease in QALE (1.7 years). CONCLUSIONS: Reporting 3+ ACEs led to a significant burden of disease, as assessed by QALE loss, to a similar degree as many other well-established behavioral risk factors and chronic conditions. Providers and policymakers should focus on efforts to prevent ACEs, initiate early detection of and interventions to minimize the impact of an ACE, and reduce the likelihood of engaging in maladaptive risky behaviors.

Prevalence, risk factors, and burden of disease for falls and balance or walking problems among older adults in the U.S.

This study assesses the prevalence of falls, factors predicting future falls, and health impacts of falls and balance or walking problems for U.S. older adults. Data were from participants ≥65 years in the Medicare Health Outcomes Survey Cohort 15 (baseline survey in 2012; follow-up survey in 2014; n = 164,597). We examined baseline factors predicting falls at follow-up and estimated the impact of falls and balance/walking problems on health-related quality of life (HRQOL), mortality, and quality-adjusted life years (QALYs). About 23% reported falls and 34% reported balance/walking problems in the past 12 months. The strongest predictors of falls were previous falls [adjusted odds ratio (OR) = 2.9] and balance/walking problems (OR = 1.7). Many self-reported chronic conditions (e.g., depression, stroke, and diabetes), geriatric symptoms (e.g., urine leakage), and limitations of activities of daily living (e.g., transferring and walking) also predicted falls, but at a smaller magnitude (ORs = 1.1-1.3). Having balance/walking problems was associated with a greater decrease in HRQOL scores (0.195 points) than falls (0.077 points), while falls were associated with a greater increase in mortality [adjusted hazard ratio (HR) = 1.5] than balance/walking problems (HR = 1.1). Falls were associated with a 4.6-year (48%) decrease in QALYs, while balance/walking problems was associated with a 7.3-year (62%) decrease in QALYs. Falls are a major problem for U.S. elderly and will continue to have an even greater impact as the population ages. The nearly 50% decrease in QALYs for falls and >60% decrease for balance or walking problems demonstrates the substantial burden associated with these problems among older Americans.