Objective Health Measures Research Articles

Dietary pattern, sputum DNA methylation, and lung health: an epidemiological study in people who ever smoked

BackgroundWe previously identified a panel of sputum DNA methylation that predicts lung ageing and risk for lung cancer. Research QuestionCan the sputum methylation panel be used as a readout to derive a dietary pattern beneficial for lung health? Is this dietary pattern associated with various subjective and objective lung health phenotypes? Does this relationship vary among people who currently (current smoker) versus previously smoked (former smoker)? Study Design and MethodsUsing the Lovelace Smoker Cohort (LSC), we employed the LASSO regularized Poisson regression to define a dietary pattern for sputum. Associations of the dietary pattern with objective and subjective lung health measurements were examined using generalized linear and Cox models in the LSC and the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening trial. ResultsThe Dietary Pattern for Healthy Lung (DiPHeaL) includes low consumption of processed meat, and high consumption of dark-green vegetables, tea, alcohol, and fruit juice. In the LSC, higher DiPHeaL score (one standard deviation) was associated with better FEV1 (by 96.1 mL/s), FEV1/FVC ratio (by 1.83%), and respiratory quality of life (by 4.9 for activity score), and decreased cardiopulmonary mortality (by 47%) in former smokers (all Ps<0.05), but not in current smokers. Moreover, effect sizes of the DiPHeaL score on respiratory quality of life measures were greater among former smokers with airway obstruction compared to those without. Associations with cardiovascular and respiratory mortality were replicated in PLCO former smokers. Greater DiPHeaL score was also associated with lower lung cancer incidence in former smokers, as well as reduced COPD incidence and lung cancer mortality regardless of smoking status in the PLCO. InterpretationWe defined a novel dietary pattern for lung epigenetic aging, which linked to lung health measurements. Former smokers, especially those with airway obstruction, may benefit the most from nutritional modification.

A bridge to clean cooking? The cost-effectiveness of energy-efficient biomass stoves in rural Senegal

Rural areas of sub-Saharan Africa have experienced limited progress towards the sustainable development goal of universal access to clean cooking. Energy-efficient biomass cookstoves (EEBCs) are considered a potential bridge technology, but EEBC models vary widely, and there is a lack of understanding about their real-world use implications. We conduct a randomized controlled trial in rural Senegal to compare a low-cost, locally produced stove designed to achieve fuel savings and an expensive, imported stove shown to be more efficient and emissions-reducing in the laboratory. We find that the two EEBCs perform similarly: both reduce fuel consumption but have no significant impact on cooking time and fuel collection, emissions, or objective health measures. We conclude that the technically advanced option is not cost effective for most of our sample, while the low-cost EEBC can be seen as a stop-gap solution that primarily reduces fuel use. The findings underpin the importance of customizing EEBC dissemination to local context and baseline cooking patterns.

Relationship Between Self-rated Health And Objective Health And Fitness Measures In College Freshmen

Relationship Between Self-rated Health And Objective Health And Fitness Measures In College Freshmen

Salivary C-reactive protein exhibits a diurnal pattern and relates to biobehavioral health in military men

C-reactive protein is a systemic inflammatory biomarker that is positively associated with the development of disease. Salivary C-reactive protein (sCRP) has previously been reported to have a diurnal rhythm with higher levels upon awakening and lower levels thereafter. The aims of this study were to evaluate the stability of sCRP across two days, characterize the daily sCRP pattern, compute morning sCRP parameters, and evaluate associations with biobehavioral health in US Navy Explosive Ordnance Disposal (EOD) technicians. Seventy male EOD technicians (age = 34.9 ± 6.5 years) participated in this study, which included a tablet-based survey, measures of health and fitness, and saliva collection. In a free-living setting, participants self-collected saliva on 2 consecutive days at WAKE, WAKE+30, WAKE+60, 4p.m., and 9p.m., for a total of 10 samples. Parameters (e.g., area under the curve) were computed to characterize the morning sCRP magnitude and pattern. Pearson product-moment correlation analyses were used to assess the stability of sCRP samples and parameters across the study period and to examine associations with biobehavioral health. Average sCRP concentrations for the 2-day period were evaluated using an analysis of variance with repeated measures. The stabilities between corresponding time points on Days 1 and 2 were very high (rs = 0.87–.94, all ps ≤ 0.001). sCRP concentrations were highest at WAKE, decreased by 73.6 % at WAKE+30, and then plateaued for the rest of the day. Parameter stabilities were good to excellent (rs = 0.77–.98, all ps ≤ 0.001). We also observed associations between sCRP parameters, self-reported health behaviors, and objective measures of health and fitness. In this study of a military population, we characterized sCRP as diurnal with robust stability across 2 consecutive days, which demonstrates the feasibility of sCRP as a biomarker. These results have significant implications for study methodology and for using sCRP as a marker of dysfunction or disease.

Optimism, pessimism, and physical health among youth: a scoping review.

High levels of optimism (and low levels of pessimism) are associated with improved physical health in adults. However, relatively less is known about these relations in youth. The present study aimed to review the literature investigating optimism, pessimism, and physical health in children and adolescents from populations with and without health conditions. We conducted a scoping review up until February 2024. Studies were included if they sampled youth (average age ≤18 years) and treated optimism or pessimism as predictors of health behaviors or outcomes. Data on study and sample characteristics, health outcome, optimism construct, and findings were extracted from eligible papers and results were synthesized. Sixty studies were retained. Most studies were conducted in North America, with adolescents, and used cross-sectional designs and self-reported measures of health. Measures of optimism and pessimism differed across studies. Roughly one-third of studies sampled medical populations. Health categories included substance use, diet and physical activity, sexual health practices, medical adherence, other health behaviors, cardiometabolic health, subjective health/health-related quality of life, pain, sleep, and oral health. Generally, we observed adaptive associations between optimism and health. Higher optimism and lower pessimism were most consistently associated with lower rates of substance use and lower cardiometabolic risk. The presence of optimism or the absence of pessimism appears to be associated with various adaptive health outcomes among youth with and without health conditions. Developmental, methodological, and clinical considerations for future research are discussed, such as conducting longitudinal studies with objective measures of health and psychometrically validated instruments.

Health determinants among participants in targeted health dialogues offered to all 40-year-old individuals in a metropolitan region of 1.4 million people

Objective To examine cardiovascular risk factors in 40-year-old participants in the health screening program targeted health dialogues (THDs). Design Cross-sectional study. Setting 99 Swedish healthcare centers. Intervention Metabolic risk factors and health behaviors were assessed. THDs were provided. Subjects 1831 (62.3%) THD participants that consented to take part in the research project. Main outcome measures (1) Prevalence of metabolic risk factors (blood pressure, LDL cholesterol, fasting plasma glucose, BMI, waist-hip ratio) and unhealthy behaviors (tobacco, alcohol, diet, physical activity) by sex, education, and place of birth. (2) Associations between different health behaviors and between the number of unhealthy behaviors and prevalence of metabolic risk factors. (3) THD participation by sociodemographics compared to age-matched controls. Results Men had a higher prevalence of all metabolic risk factors, excessive alcohol use and tobacco use than women. Lower educated individuals had a higher prevalence of metabolic risk factors (except for LDL cholesterol) and tobacco use than highly educated. Participants born outside Sweden had a higher prevalence of obesity, high waist-hip ratio, and tobacco use. Participants with 3–4 unhealthy behaviors had significantly higher prevalence of each of the metabolic risk factors except BMI. Women, highly educated and Swedish-born participants were slightly over-represented in the THDs. Conclusion Considering the associations between unhealthy behaviors and metabolic risk factors, the THD method, covering lifestyle as well as objective health measures, may be an appropriate method for early identification of individuals at risk for future non-communicable diseases in the whole population with a specific focus on certain groups. ClinicalTrials.gov NCT04912739

Traumatic Brain Injury and Posttraumatic Stress Disorder Are Associated with Physical Health Burden among Post-9/11 Women Veterans.

Background: Little research focuses on physical health outcomes of traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) among post-9/11 women veterans (WVs). This study examined lifetime TBI, current PTSD, and their associations with biomarkers of cardiometabolic health, sleep, pain, and functional disability among post-9/11 WVs. Methods: WVs (n = 90) from the Translational Research Center for TBI and Stress Disorders longitudinal cohort study were included in this study. Gold standard clinician administered interviews assessed lifetime TBI (Boston Assessment of TBI-Lifetime) and current PTSD symptoms (Clinician-Administered PTSD Scale-IV). Objective measures of health included waist-hip ratio (WHR) and fasted blood biomarker (high density lipoprotein [HDL], low density lipoprotein [LDL], blood glucose, triglycerides) levels. Self-reported surveys assessed sleep, pain, and functional disability. Results: Just under two-thirds (58.9%) of WVs experienced a lifetime TBI, and just over half (53.3%) of this sample had a current PTSD diagnosis at the time of testing. Lifetime TBI was significantly associated with higher WHR, triglycerides levels, and worse pain and sleep (ps = <0.01 to 0.02; ds = 0.01 to 1.12). Current PTSD was significantly associated with higher WHR, lower HDL, and worse pain and sleep (ps = <0.01 to 0.02; ds = 0.009 to 1.19). PTSD was significantly associated with lower total functioning and each of its subdomains (βs = -0.58 to 0.63; ps = <0.001 to 0.02). Lifetime TBI was significantly associated with total functioning, mobility, and life/work (βs = -0.20 to 0.30; ps = <0.01 to 0.02). Conclusions: These findings highlight the importance of screening for lifetime TBI and cardiovascular disease for WVs and support transdiagnostic treatment approaches targeting physical health outcomes.

How Do Discrepancies between Subjective and Objective Health Predict the Risk of Injurious Falls? A Study of Community-Dwelling Swedish Older Adults

ObjectivesPrevious studies demonstrated that discrepancies between subjective and objective health measures are associated with physical and mental health–related outcomes in older adults. We investigate whether such discrepancies are also associated with risk of injurious falls in community-dwelling Swedish older adults. DesignA prospective, observational cohort study. Setting and ParticipantsUsing data from the Swedish National Study on Aging and Care in Kungsholmen, we followed 2222 community-dwelling older adults aged ≥60 years at baseline, across a 10-year period of data collection (2001-2011). MethodsA “health asymmetry” metric classified older adults into 4 categories, based on the level of agreement between their subjective and objective health scores (“health pessimist”, “health optimist”, “poor health realist”, and “good health realist”). Time-varying Cox proportional hazard and Laplace regressions were employed to investigate if these categories were associated with the risk of injurious falls. ResultsOver a 10-year follow-up, 23.5% of the sample experienced an injurious fall. Health optimists had the greatest risk of experiencing an injurious fall [hazard ratio (HR) 2.16, 95% confidence interval (CI) 1.66, 2.80], compared with good health realists. Poor health realists (HR 1.77, 95% CI 1.50, 2.11) and health pessimists (HR 1.66, 95% CI 1.21, 2.29) also had an increased risk of experiencing injurious falls, compared with good health realists. Being a health pessimist was only associated with the risk of injurious falls within the younger-old (HR 2.43, 95% CI 1.63, 3.64) and among males (HR 1.95, 95% CI 1.14, 3.33). Conclusions and ImplicationsOlder adults with similar objective health levels may differ in terms of their injurious fall risk, depending on their subjective health. Interpreting subjective health alongside objective health is clinically pertinent when assessing injurious fall risk.

Modifiable Risk Factors Associated With Cognitive Decline in Late Life Depression: Findings From the Canadian Longitudinal Study on Aging: Facteurs de risque modifiables associés au déclin cognitif dans la dépression en fin de vie : constatations de l'Étude longitudinale canadienne sur le vieillissement.

Depression in later life is associated with a two-fold increased risk of dementia. It is not clear to what extent potentially modifiable risk factors account for this association. Older adults (age 50 + ) with objective health measures (n = 14,014) from the Canadian Longitudinal Study on Aging were followed for a mean duration of 35 months. Linear regression analyses were used to determine if clinically significant depression (Centre for Epidemiologic Studies Depression scale score (CESD) ≥ 10) was associated with global cognitive decline, assessed with a neuropsychological battery during follow-up, and if modifiable risk factors mediated this association. Depression was associated with an excess of risk factors for cognitive decline including: vascular disease, hypertension, diabetes, apnoea during sleep, higher body mass index, smoking, physical inactivity and lack of social participation. In regression analyses depression remained independently associated with cognitive decline over time (beta -0.060, P = 0.038) as did cerebrovascular disease (beta -0.197, P < 0.001), HbA1C (beta -0.059, P < 0.001), visual impairment (beta -0.070, P = 0.007), hearing impairment (beta -0.098, P < 0.001) and physical inactivity (beta -0.075, P = 0.014). In mediation analyses, we found that cerebrovascular disease (z = -3.525, P < 0.001), HbA1C (z = -4.976, P < 0.001) and physical inactivity (z = -3.998, P < 0.001) partially mediated the association between depression and cognitive decline. In this large sample of Canadian older adults incorporating several objective health measures, older adults with depression were at increased risk of cognitive decline and had an excess of potentially modifiable risk factors. Clinicians should pay particular attention to control of diabetes, physical inactivity and risk factors for cerebrovascular disease in older adults presenting with depression as they can contribute to accelerated cognitive decline and may be addressed during routine clinical care.

Work-, lifestyle-, and health-related factors among women and men working in the emergency medical services

Objectives. This study aimed to describe work-, lifestyle-, and health-related factors among ambulance personnel, and to analyse differences between women and men. Methods. The cross-sectional study (N = 106) included self-reported and objective measures of work, lifestyle, and health in 10 Swedish ambulance stations. The data collection comprised clinical health examination, blood samples, tests of physical capacity, and questionnaires. Results. A high proportion of the ambulance personnel reported heavy lifting, risk of accidents, threats and violence at work. A low level of smoking and alcohol use, and a high level of leisure-time physical activity were reported. The ambulance personnel had, on average, good self-rated health, high work ability and high physical capacity. However, the results also showed high proportions with risk factors for cardiovascular disease (CVD), e.g., high blood pressure, and high levels of blood lipids. More women than men reported high work demands. Furthermore, women performed better in tests of physical capacity and had a lower level of CVD risk factors. Conclusions. Exposure to work-related factors that might affect health was common among ambulance personnel. Lifestyle- and health-related factors were somewhat contradictory, with a low proportion reporting lifestyle-related risk factors, but a high proportion having risk factors for CVD.

Severe prenatal shocks and adolescent health: Evidence from the Dutch Hunger Winter

This paper investigates health impacts at the end of adolescence of prenatal exposure to multiple shocks, by exploiting the unique natural experiment of the Dutch Hunger Winter. At the end of World War II, a famine occurred abruptly in the Western Netherlands (November 1944–May 1945), pushing the previously and subsequently well-nourished Dutch population to the brink of starvation. We link high-quality military recruits data with objective health measurements for the cohorts born in the years surrounding WWII with newly digitised historical records on calories and nutrient composition of the war rations, daily temperature, and warfare deaths. Using difference-in-differences and triple differences research designs, we first show that the cohorts exposed to the Dutch Hunger Winter since early gestation have a higher Body Mass Index and an increased probability of being obese at age 18. We then find that this effect is partly moderated by warfare exposure and a reduction in energy-adjusted protein intake. Lastly, we account for selective mortality using a copula-based approach and newly-digitised data on survival rates, and find evidence of both selection and scarring effects. These results emphasise the complexity of the mechanisms at play in studying the consequences of early conditions.

What is the impact of successive COVID-19 lockdowns on population mental health? Findings from an Australian natural experiment using health service data.

ObjectiveThe causal effect of successive population-wide lockdowns in response to increased COVID-19 cases on mental health has yet to be examined using robust methods. A natural experiment design underpinned by objective data can improve our understanding surrounding the definitive impact of social distancing restrictions.MethodsThe study employed a natural experiment design underpinned by objective data. Health service cost for visits to general practitioners and psychologists and medication dispensing costs served as objective measures of mental health. Difference-in-difference (DID) estimators, which in this study quantify differences in spending changes between groups over time, were produced based on three comparisons: Victoria 2020 lockdown comparison, Victoria 2021 lockdown comparison, and New South Wales (NSW) 2021 lockdown comparison. Specifically, differences in public health service spending during lockdown periods and the same timeframe in 2019 for Victoria and NSW, and control groups (remaining states and territories), were compared.ResultsPositive estimator values indicate that public health service spending for Victoria and NSW increased more during lockdown periods compared to control states and territories. The Victorian lockdowns of 2020 and 2021, but not the NSW lockdown of 2021, resulted in increased public spending for general practitioner mental health consults (2020 DID estimator: $8498.96 [95% CI $4012.84, $12,373.57], 2021 DID estimator: $6630.06 [95% CI $41.27, $13,267.20], all monetary values in AUD$) and short visits to psychologists (2020 DID estimator: $628.82 [95% CI $466.25, $796.00], 2021 DID estimator: $230.11 [95% CI $47.52, $373.98]). The first Victorian lockdown in 2020 and the NSW lockdown in 2021 resulted in greater spending on short visits to clinical psychologists. Spending on long visits to psychologists and clinical psychologists and medication spending did not change.ConclusionsStrict lockdowns can have an adverse impact on population mental health. The impact is particularly evident in those who have a history of previous mental health concerns but does not necessitate extra use of medications, suggesting that psychological care can address the adverse impact of the lockdowns.

FINDINGS FROM NSHAP: SOCIAL CONNECTEDNESS, HEALTH INDICATORS, MEDICATION EFFECTS, AND PREDICTING MORTALITY

Abstract The National Social Life, Health, and Aging Project’s broad range of both social measures, and objective and self-reported health measures enable detailed analysis of the intersections between these fundamental aspects of older adults’ lives. The papers in this symposium explore various aspects of these topics from different angles. The first explores employment as an important form of social participation, establishing that full-time employment among respondents is associated with better cognitive function, and less ADL and IADL difficulties. The second examines how social isolation affects men and women differently. Social Networks are the focus of the third paper and compare family to friendship ties. Using NSHAP’s unique medication log, Wilder examines sleep disturbances and the prevalence of respondents taking medications with somnolence as an adverse event, demonstrating the need for more research into how this might affect older adults’ health and well-being. Li uses NSHAP data to develop machine learning models to predict 10-year mortality of older adults in the US which perform with better accuracy than logistic regression.

Norms for Usual and Fast Walking Speed in Adults 45-69 Years Old From the French General Population: Constances Study

ObjectivesWalking speed (WS) represents an objective measure of motor function and health. We aimed to develop usual (UWS) and fast WS (FWS) norms for the general population using a regression-based approach, while considering age, sex, height, and education. DesignCross-sectional analysis of a population-based study. Setting and ParticipantsFrench Constances study (45-69 years). MethodsUWS/FWS were measured over 3 m (dynamic start) using photoelectric cells. We addressed selection effects (related to survey sampling and nonresponse) and missing data using a combination of inverse probability weighting (IPW) and multiple imputation (MI). Norms by sex, age, height, and education (<tertiary/≥tertiary) were estimated using a 3-level linear mixed effects model (random effects on center and year) allowing for nonlinear relations that were adjusted for age, sex, height, education, and significant 2-way interactions. ResultsAnalyses are based on 44,772 participants (51.2% women) with a mean age of 56.8 years (SE = 0.2) for women and 57.3 years (SE = 0.2) for men, and a mean height of 161.4 cm (SE = 0.1) for women and 174.2 cm (SE = 0.1) for men after IPW/MI. WS estimates decreased after IPW/MI. The mean UWS was 116.9 cm/s (SE = 0.8) in women and 120.7 cm/s (SE = 0.8) in men, and the mean FWS was 168.7 cm/s (SE = 1.0) in women and 182.8 cm/s (SE = 1.2) in men. In the multiadjusted model, UWS/FWS decreased with age and increased with height and education. Men had faster FWS than women; they had slightly slower UWS than women in the low-education group, but there were no sex differences in the high-education group. Conclusions and ImplicationsWe developed UWS/FWS norms by age, sex, height, and education for the French general population (45-69 years) that are available through a web app (https://cesp-proxy2.vjf.inserm.fr/NORMES-VM-EN/). These norms can be used to identify in midlife persons with lower motor performances than the general population, given their age, sex, height, and education, who are at higher risk of adverse outcomes.

Molecular Biomarkers of Aging to Predict Clinical Frailty in Newly Diagnosed Hematologic Malignancy

Introduction: Older adults with hematologic malignancy (HM) are a growing demographic with wide-ranging therapeutic options. With aging, patient health and treatment decision-making are heterogenous. Treatment decisions are impacted by chronological age, performance status, and comorbidities. An approach to treating older adults based on objective measures of health may better personalize therapy by focusing on physiologic parameters. Here we examined the relationship of a blood-based aging biomarker, p16 INK4a (p16), with clinical frailty. Methods: Newly diagnosed patients with HM were enrolled in a prospective study capturing fitness measures and peripheral blood T lymphocyte (PBTL) p16 levels pre-treatment. Clinical phenotypes of fitness included 11 measures: ECOG performance status, Patient-Reported Outcome Measurement Information System (PROMIS) Global Health Scale Short Form v1, Older Americans Resources and Services (OARS) instrumental activities of daily living (IADL), Medical Outcomes Study (MOS) physical function, patient-reported Karnofsky Performance Status (KPS), social activity and social support (MOS) scores, Mental Health Index (MHI), and cognition (Blessed Orientation-Memory-Concentration). Physical function was measured using the Short Physical Performance Battery (SPPB). PBTL p16 was measured using the OSU_Senescence Nanostring CodeSet, which includes 74 additional T cell markers and five controls. PBTL were also examined for DNA methylation. PBTL were extracted, bisulfite converted, and methylation was quantified using the Illumina 850K EPIC methylation array at the TruDiagnostic core laboratory. Raw data was processed using the minfi pipeline, followed by normalization, batch correction, and KNN-based imputation using the GMQN and impute R packages. Principal-component (PC) PhenoAge measures were calculated using the processed methylation values. Results: Patients newly diagnosed with HM (n=33) (acute leukemia n=13, 39.5%, plasma cell dyscrasia n=13, 39.5%, lymphoma n=4, 12.1%, chronic lymphocytic leukemia=3, 9.1%) and complete p16 analysis with geriatric deficits were included. The mean p16 score was 32.6 (range 1.7-259.7). We quantified a composite deficit index defined as a frailty score higher than the third quartile using the aggregate score of the above fitness measures (range 0 to 11). Using a threshold for p16 ≥31.9, the model had 80% sensitivity and 79% specificity to identify frailty. The positive predictive value was 0.40, the negative predictive value was 0.96, and the accuracy was 0.76. The area under the ROC curve (AUC) for frailty versus p16 was 0.725. PBTL p16 was also explored in relation to other biomarkers of interest including epigenetic age (n=50). PBTL p16 correlated with PhenoAge r=0.38, p=0.0067. Conclusion: Aging biomarkers provide a novel means to quantify physiologic age in newly diagnosed HM. PBTL p16 levels showed a significant relationship with a composite metric of clinical fitness and accelerated aging in patients with different HM. PBTL p16 was both a sensitive and specific blood-based biomarker to identify clinical frailty in this preliminary analysis.

Criterion validation of nutrient profiling systems: a systematic review and meta-analysis

BackgroundNutrient profiling systems (NPSs) use algorithms to evaluate the nutritional quality of foods and beverages. Criterion validation, which assesses the relationship between consuming foods rated as healthier by the NPS and objective measures of health, is essential to ensure the accuracy of NPSs. ObjectiveWe examined and compared NPSs that have undergone criterion validity testing in relation to diet-related disease risk and risk markers. MethodsAcademic databases were searched for prospective cohort and cross-sectional studies published before November, 2022. NPSs were eligible if they incorporated multiple nutrients or food components using an algorithm to determine an overall summary indicator (e.g., a score or rank) for individual foods. Studies were included if they assessed the criterion validity of an eligible NPS. Validation evidence was first summarized in narrative form by NPS, with random effects meta-analysis where ≥2 prospective cohort studies assessed the same NPS and outcomes. ResultsOf 4519 publications identified, 29 describing 9 NPSs were included in the review. The Nutri-Score NPS was assessed as having substantial criterion validation evidence. Highest compared with lowest diet quality as defined by the Nutri-Score was associated with significantly lower risk of cardiovascular disease (hazard ratio [HR]: 0.74; 95% confidence interval [CI]: 0.59, 0.93; n = 6), cancer (HR: 0.75; 95% CI: 0.59, 0.94; n = 5), all-cause mortality (HR: 0.74; 95% CI; 0.59, 0.91; n = 4) and change in body mass index (HR: 0.68; 95% CI: 0.50, 0.92; n = 3). The Food Standards Agency NPS, Health Star Rating, Nutrient Profiling Scoring Criterion, Food Compass, Overall Nutrition Quality Index, and the Nutrient-Rich Food Index were determined as having intermediate criterion validation evidence. Two other NPSs were determined as having limited criterion validation evidence. ConclusionsWe found limited criterion validation studies compared with the number of NPSs estimated to exist. Greater emphasis on conducting and reporting on criterion validation studies across varied contexts may improve the confidence in existing NPSs.

Interviewer Effects on the Measurement of Physical Performance in a Cross-National Biosocial Survey.

Biosocial surveys increasingly use interviewers to collect objective physical health measures (or "biomeasures") in respondents' homes. While interviewers play an important role, their high involvement can lead to unintended interviewer effects on the collected measurements. Such interviewer effects add uncertainty to population estimates and have the potential to lead to erroneous inferences. This study examines interviewer effects on the measurement of physical performance in a cross-national and longitudinal setting using data from the Survey of Health, Ageing and Retirement in Europe. The analyzed biomeasures exhibited moderate-to-large interviewer effects on the measurements, which varied across biomeasure types and across countries. Our findings demonstrate the necessity to better understand the origin of interviewer-related measurement errors in biomeasure collection and account for these errors in statistical analyses of biomeasure data.

Challenging the Portrait of the Unhealthy Gamer-The Fitness and Health Status of Esports Players and Their Peers: Comparative Cross-Sectional Study.

Esports players are often referred to as sedentary athletes, as gaming requires prolonged sedentary screen exposure. As sedentary behavior and physical inactivity are major causes of noncommunicable diseases and premature death, esports players may be at an increased risk for health implications. Prior research has established esports players as having higher levels of body fat and lower levels of lean body mass versus age-matched controls, suggesting the need to assess further health and fitness outcomes of this demographic. However, while research interest is undoubtedly increasing, the majority of studies has focused on subjective self-report data and has lacked relevant objective health and fitness measurements. This study aimed to assess the health and fitness status of a group of competitive esports players in relation to an age- and sex-matched comparison group. In total, 51 competitive esports players (mean 23, SD 3 years, 2 female) and 51 nonesports players (mean 24, SD 3 years, 2 female) were enrolled in this cross-sectional laboratory study. The esports players and the nonesports players completed a questionnaire assessing demographic data and self-reported physical activity levels. Furthermore, physical parameters including BMI, waist-to-height ratio, body fat percentage, systolic blood pressure, diastolic blood pressure, pulse wave velocity, maximal grip strength, and maximal oxygen consumption were assessed. There were no significant differences in BMI (t100=1.54; P=.13; d=0.30), waist-to-height ratio (t100=1.44; P=.16; d=0.28), body fat percentage (t100=-0.48; P=.63; d=-0.09), systolic blood pressure (t100=-0.06; P=.93; d=-0.01), diastolic blood pressure (t100=0.37; P=.71; d=0.07), pulse wave velocity (t93=-2.08; P=.15; d=-0.43), maximal grip strength (t100=-.08; P=.94; d=-0.02), maximal oxygen consumption (t100=-0.11; P=.92; d=-0.02), and physical activity (PA) levels (t86=2.17; P=.08; d=0.46) between the groups. While the health narrative directed toward esports players has been mainly negative, this laboratory-based study indicated that esports players are not less healthy or fit compared to their peers. However, it seems that esports players are very heterogeneous and seem to span across the whole range of the fitness and health spectrum. Thus, the generalized statements of the esports athlete as an obese and unhealthy individual may need to be reconsidered.

Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure

Although prior research has provided insights into the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied. Third, a handful of studies explicitly focus on older adults. To bridge these research gaps, this study measures wealth-related inequalities in physical and cognitive impairments and examines the extent to which welfare states moderate wealth inequalities in physical and cognitive impairments among older people across Japan and Europe. We utilized harmonized data on non-institutionalized individuals aged 50–75 from the Japanese Study of Aging and Retirement (JSTAR) and the Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 31,969 for physical impairments and 31,348 for cognitive impairments). Our multilevel linear regression analyses examined whether national public health spending and healthcare access resources explained cross-country differences in wealth inequalities in physical and cognitive impairments. We applied a concentration index to quantify the degree of wealth inequalities in impairments. The findings indicate that inequalities in both impairment outcomes favored wealthier individuals in all countries, but the magnitude of inequality varied by country. Furthermore, a higher share of public health spending, lower out-of-pocket expenditure, and higher investment in healthcare resources were associated with lower wealth inequalities, especially for physical impairments. Our findings suggest that different health interventions and policies may be needed to mitigate specific impairment inequalities.

Depressive Symptoms are Associated with More Negative Global Metacognitive Biases in Combat Veterans, and Biases Covary with Symptom Changes over Time

Metacognitive awareness, insight into one’s abilities, is thought to be disrupted in depression and posttraumatic stress disorder (PTSD), with more negative metacognitive biases and reduced awareness, respectively. However, studies have rarely examined global aspects of metacognitive awareness in depression and PTSD, instead using task-specific measures. In 467 trauma-exposed post-9/11 veterans, we administered assessments of PTSD and depression, self-report and objective measures of cognitive functioning (neuropsychological battery of memory, attention, and executive function measures), and self-report and objective measures of general health (index of five cardiometabolic factors). We used self-report/objective correlations to measure metacognitive sensitivity and 'self-report minus objective' scores to measure bias. We also examined associations between changes in metacognitive awareness and changes in PTSD and depression over time. Metacognitive sensitivity was comparable between individuals with and without PTSD and depression. However, metacognitive bias was significantly more negative in those with greater depressive symptoms (i.e., underconfidence) across cognition and health, independent of PTSD symptoms. Notably, metacognitive bias changes covaried with depressive and PTSD symptom changes two years later. This shows that, in trauma-exposed veterans, negative metacognitive biases are specifically related to depressive symptoms and these biases may be relatively domain general. Further, our longitudinal results suggest that, rather than being a stable trait, metacognitive biases change with PTSD/depressive symptoms over time.