Representative Sample Of General Population Research Articles

Health information, what do people search and where? a cross-sectional online survey study in the adult Swiss population.

Health promotion and disease prevention are crucial for improving public health and alleviating the burden of illness in the population. This study aimed to investigate, the sources of health information most used and trusted, and the health topics most searched, by means of a nationwide cross-sectional online survey of a representative sample of the adult Swiss general population. Overall, complete surveys of 2020 participants were analysed (mean age 47 years old, 51% male, and matching the Swiss population regarding age, sex, and language-speaking region). Sources' use were calculated with descriptive statistics per sex and age groups. The most frequently used sources were general practitioners (min: 46% to max: 73%), government websites (40% to 55%), family and friends (37% to 63%), pharmacy (33% to 46%), and television (21% to 57%). The most trusted sources were specialised physicians (94% to 98%) general practitioners (90% to 96%), and pharmacies (81% to 89%). Based on multivariable controlled regression, age (per five years increase) was associated with increased odds of using television (Odds Ratio (OR): 1.19, 95% Confidence Interval (CI): 1.12 to 1.21), print media (OR: 1.15, 95% CI: 1.10 to 1.19), radio (OR: 1.15, 95%CI: 1.10 to 1.20), and the general practitioner (OR: 1.11, 95% CI: 1.07 to 1.15), and decreased odds of using news websites (OR: 0.94, 95% CI:0.9 to 0.98), family and friends (OR: 0.93, 95% CI: 0.9 to 0.98), foreign authorities websites (OR: 0.91, 95%CI: 0.86 to 0.97), and social media (OR: 0.88, 95% CI: 0.84 to 0.92). Women were more likely to seek health information in the pharmacy (OR: 1.39, 95% CI: 1.15 to 1.68), specialised physicians (OR: 1.39, 95% CI:1.13 to 1.72), television (OR: 1.41, 95% CI: 1.16 to 1.72), and books (OR: 1.9, 95% CI: 1.44 to 2.5). The most searched health topics, based on the International Classification of Primary Care, 2nd edition (ICPC2), were general and unspecified symptoms (20.9%) and musculoskeletal issues (19.4%). The use of these findings by policymakers and health care providers could potentially enhance the effectiveness of health-related education strategies, by aligning communication efforts with the populations' preferences and content needs, and allocating resources where they are most commonly accessed and trusted, namely in the general practice.

The burden of headache disorders in the adult population of Mongolia: estimates, and a health-care needs assessment, from a cross-sectional population-based study

BackgroundHaving previously shown headache disorders to be prevalent in Mongolia, here we elaborate on headache as a public-health concern in this country, reporting symptom burden and headache-attributed impaired participation at individual and societal levels, and conducting a health-care needs assessment.MethodsThe study followed the standardized methodology developed by the Global Campaign against Headache, generating a representative general-population sample through multi-level randomized cluster sampling. Participants aged 18–65 years were interviewed at unannounced household visits by interviewers administering the HARDSHIP questionnaire. Symptom burden was established through questions on frequency, duration and intensity of headache, with proportion of time in ictal state calculated from frequency and duration. Individual impaired participation was established through the HALT questionnaire, enquiring into lost time from paid and household work and from leisure activities. Symptom burden and impaired participation yesterday were also assessed in those reporting headache yesterday. Population-level estimates were derived by factoring in prevalence.ResultsThe total sample included 2,043 participants. Those reporting any headache in the last year (n = 1,351) spent, on average, 9.7% of all their time with headache, losing 1.3 workdays and 2.4 household days/3 months. These losses were considerably higher among those with probable medication-overuse headache (37.5%, 3.5 workdays, 6.7 household days) or other headache on ≥ 15 days/month (H15+) (21.9%, 2.4 workdays, 5.1 household days). At population-level (including those with and without headache), 6.2–7.4% of all time was spent with headache, 3.1% with H15+; 0.8 workdays and 1.4 household days/person/3 months were lost to headache, 0.3 workdays and 0.6 household days to migraine (the biggest contributor of all headache types). Our needs assessment estimated that one third (33.2%) of the adult population of Mongolia have headache (mostly migraine or H15+) likely to benefit from health care.ConclusionThis first population-based study on headache burden in Mongolia shows high levels of individual and societal burden, with H15 + the cause of greater burden at population level than migraine and TTH combined. Migraine, however, has the biggest impact on the nation’s productivity. From a purely economic perspective, Mongolia, with limited health resources, would probably be best served by focusing on mitigating migraine-attributed burden.

Contributions of Artificial Intelligence to Analysis of Gut Microbiota in Autism Spectrum Disorder: A Systematic Review.

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder whose etiology is not known today, but everything indicates that it is multifactorial. For example, genetic and epigenetic factors seem to be involved in the etiology of ASD. In recent years, there has been an increase in studies on the implications of gut microbiota (GM) on the behavior of children with ASD given that dysbiosis in GM may trigger the onset, development and progression of ASD through the microbiota-gut-brain axis. At the same time, significant progress has occurred in the development of artificial intelligence (AI). The aim of the present study was to perform a systematic review of articles using AI to analyze GM in individuals with ASD. In line with the PRISMA model, 12 articles using AI to analyze GM in ASD were selected. Outcomes reveal that the majority of relevant studies on this topic have been conducted in China (33.3%) and Italy (25%), followed by the Netherlands (16.6%), Mexico (16.6%) and South Korea (8.3%). The bacteria Bifidobacterium is the most relevant biomarker with regard to ASD. Although AI provides a very promising approach to data analysis, caution is needed to avoid the over-interpretation of preliminary findings. A first step must be taken to analyze GM in a representative general population and ASD samples in order to obtain a GM standard according to age, sex and country. Thus, more work is required to bridge the gap between AI in mental health research and clinical care in ASD.

The prevalence of misophonia in a representative population-based survey in Germany.

Misophonia is a new disorder, currently defined as significant emotional and physiological distress when exposed to certain sounds. Although there is a growing body of literature on the characteristics of the disorder, the prevalence in the general population is still relatively unknown. This study therefore aims at determining the prevalence and symptom severity of misophonia in a large and representative general population sample in Germany. To examine the prevalence of misophonic sounds, misophonic reactions and misophonia severity, a cross-sectional population representative survey in Germany has been conducted. Participants (N = 2.522) were questioned retrospectively about misophonic symptoms using the Amsterdam Misophonie Scale - Revised (AMISOS-R). Overall 33.3% reported to be sensitive to at least one specific misophonic sound. Within the total sample, subthreshold symptoms were reported by 21.3%, mild symptoms were reported by 9.9%, moderate to severe symptoms were reported by 2.1%, and severe to extreme symptoms were reported in 0.1% of participants. Based on the diverging presentations and prevalence rates of misophonic sounds, reactions and symptoms according to the severity, it seems worthwhile to conceptualize misophonia as a rather continuous spectrum disorder (subthreshold, mild, moderate to severe), still taking into account that an additional categorical diagnostic approach might be necessary to derive a diagnosis in clinical practice.

Putting a Dollar Value on Informal Care Time Provided to People Living With Dementia: A Discrete Choice Experiment

ObjectivesInformal care represents a significant cost driver in dementia but monetizing informal care hours to inform cost-of-illness or economic evaluation studies remains a challenge. This study aimed to use a discrete choice experiment to estimate the value of informal care time provided to people with dementia in Australia accounting for positive and negative impacts of caregiving. MethodsAttributes and levels were derived from a literature review, interviews with carers, and advice received from an advisory group. Attributes included 4 positive and negative caregiving experiences, in addition to “hours of care provided” and the “monetary compensation from the government.” A D-efficient design was constructed with 2 generic alternatives that represented hypothetical informal caregiving situations. The discrete choice experiment survey was administered online to a representative sample of the Australian general population and a group of informal carers of people with dementia. The willingness to accept estimates were calculated for the 2 samples separately using the mixed logit model in the willingness to pay space. ResultsBased on 700 respondents included in the analysis (n = 488 general public, n = 212 informal carers), the mean willingness to accept for an additional hour of informal care, corrected for the positive and negative impacts of informal care, was $21 (95% CI 18-23) for the general public and $20 (95% CI 16-25) for the informal carers sample. ConclusionThe estimates generated in this study can be used to inform future cost-of-illness studies and economic evaluations, ensuring that informal care time is considered in future policy and funding decisions.

A Feasible Estimation of a “Corrected” EQ-5D Social Tariff

ObjectivesTo demonstrate the feasibility of estimating a social tariff free of utility curvature and probability weighting biases and to test transferability between riskless and risky contexts. MethodsValuations for a selection of EQ-5D-3L health states were collected from a large and representative sample (N = 1676) of the Spanish general population through computer-assisted personal interviewing. Two elicitation methods were used: the traditional time trade-off (TTO) and a novel risky-TTO procedure. Both methods are equivalent for better than death states, which allowed us to test transferability of utilities across riskless and risky contexts. Corrective procedures applied are based on rank-dependent utility theory, identifying parameter estimates at the individual level. All corrections are health-state specific, which is a unique feature of our corrective approach. ResultsTwo corrected value sets for the EQ-5D-3L system are estimated, highlighting the feasibility of developing national tariffs under nonexpected utility theories, such as rank-dependent utility. Furthermore, transferability was not supported for at least half of the health states valued by our sample. ConclusionsIt is feasible to estimate a social tariff by using interviewing techniques, sample sizes, and sample representativeness equivalent to prior studies designed to generate national value sets for the EQ-5D. Utilities obtained in distinct contexts may not be interchangeable. Our findings caution against routinely taking transferability of utility for granted.

Assessing health-related quality of life of Chinese population using CQ-11D

PurposeThis study aimed to assess the health-related quality of life (HRQoL) of the Chinese population by using the Chinese medicine quality of life-11 dimensions (CQ-11D) questionnaire and to identify factors associated with HRQoL.MethodsThe data was derived from a survey conducted by the Institute of Pharmacoeconomics Evaluation at Beijing University of Chinese Medicine on the quality of life of the Chinese population. The sex and age of respondents were considered through quota sampling. Demographic, socioeconomic, and health indicators were collected using the structured questionnaire. We performed bivariate analyses first to examine the associations between the above factors and the HRQoL of respondents measured by the CQ-11D. Multivariate linear regression and ordinal logistic regression models were established to analyze the factors (demographic, socioeconomic, and health indicators) differences in HRQoL, as well as the risk of each group reporting problems across the 11 dimensions of CQ-11D.ResultsFrom February 2021 to November 2022, a total of 7,604 respondents were involved and 7,498 respondents were included. The sample approximated the general adult Chinese population in terms of age, sex, and district of residence, and each geographic distribution ranged from 9.71 to 25.54%. Of the respondents, 45.84% were male, and 89.82% were Han ethnicity. The mean utility score ranged from 0.796 to 0.921 as age increased. According to the respondents, most health problems were identified in the PL (fatigue) (70.16%) and SM (quality of sleep) (63.63%) dimensions. The CQ-11D index scores varied with the demographic and socioeconomic characteristics of respondents, except for ethnicity (p > 0.05) and income (p > 0.05). The multivariate analysis revealed significant negative associations between health utility scores and various factors. These factors include sex (female), age over 65, belonging to ethnic minorities, rural household registration, being widowed or divorced, having a primary school education or below, being a student or unemployed, having a low income of 0–1,300, engaging in smoking or drinking, limited participation in physical activities, experiencing changes in self-perceived health status compared to the previous year, and having chronic diseases. The odds of respondents reporting problems in 11 dimensions varied among different socio-demographic groups.ConclusionsThis study reports the first Chinese population norms for the CQ-11D derived using a representative sample of the Chinese general population. Self-reported health status measured by the CQ-11D varies among different socio-economic groups. In addition to participation a physical activity and the presence of chronic disease, smoking and drinking also significantly influence HRQoL.

Construct Validity, Reliability, and Responsiveness of the 10-Item Well-Being Instrument for Use in Economic Evaluation Studies

ObjectivesEconomic evaluations of interventions in health and social care require outcome measures that capture their full benefits, including those beyond health. This study aimed to assess construct validity, test-retest reliability, and responsiveness of the newly developed 10-item Well-being instrument (WiX). MethodsData were gathered via an online survey in a representative sample of the adult general population in The Netherlands (N = 1045). Construct validity was assessed by inspecting convergent, structural, and discriminant validity, following the COnsensus-based Standards for the selection of health status Measurement INstruments methodology. Regression analyses of the WiX and its items on other validated measures of well-being were performed to assess the convergent validity of the instrument and the relevance of its items. Dimensionality of the WiX was assessed using exploratory factor analysis. To assess discriminant validity, several hypotheses in terms of well-being differences were assessed. Finally, a second survey was sent out 2 weeks after the initial survey (n = 563; 53.9% response rate) to assess the test-retest reliability and responsiveness of the WiX. ResultsThe WiX showed to be correlated with alternative well-being measures as expected and able to sufficiently differentiate between relevant subgroups in the population. Moreover, the dimensionality analysis indicated that the WiX captures a broad array of elements relevant to well-being, including physical and mental health. The test-retest reliability was good, with an intraclass correlation coefficient of 0.82. ConclusionsThe results regarding the WiX are favorable and indicate that this new instrument may be a promising alternative for existing measures of well-being for evaluating interventions in health and social care.

Population Norms for the EQ-5D-5L, PROPr and SF-6D in Hungary.

This study aimed to develop population norms for three preference-accompanied measures [EQ-5D-5L, Patient-Reported Outcomes Measurement Information System (PROMIS)-preference scoring system (PROPr) and Short-Form Six-Dimension (SF-6D)] in Hungary. In November 2020, an online cross-sectional survey was conducted among a representative sample of the Hungarian adult general population (n = 1631). Respondents completed the Hungarian versions of the EQ-5D-5L, PROMIS-29+2 version2.1 and 36-item Short Form Survey version 1 (SF-36v1). The association of utilities with sociodemographic and health-related characteristics of respondents was analysed using multivariate regressions. The proportion of respondents reporting problems ranged from 8 to 44% (self-care to pain/discomfort) on the EQ-5D-5L, 39-94% (physical function to sleep) on PROPr and 38-87% (role limitations to vitality) on the SF-6D. Problems related to physical function, self-care, usual activities/role limitations and pain increased with age, while mental health problems decreased in all three measures. In almost all corresponding domains, respondents indicated the fewest problems on the EQ-5D-5L and the most problems on the SF-6D. The mean EQ-5D-5L, PROPr and SF-6D utilities were 0.900, 0.535 and 0.755, respectively. Female gender (PROPr, SF-6D), a lower level of education (EQ-5D-5L, PROPr), being unemployed or a disability pensioner (EQ-5D-5L), being underweight or obese (SF-6D), lack of physical exercise (all) and polypharmacy (all) were associated with significantly lower utilities. PROPr yielded the lowest and EQ-5D-5L the highest mean utilities in 28 of 30 chronic health conditions. This study presents the first set of Hungarian population norms for the EQ-5D-5L, PROPr and SF-6D. Our findings can serve as reference values in clinical trials and observational studies and contribute to the monitoring of population health and the assessment of disease burden in Hungary.

Distinct patterns of incidental exposure to and active selection of radicalizing information indicate varying levels of support for violent extremism.

Exposure to radicalizing information has been associated with support for violent extremism. It is, however, unclear whether specific information use behavior, namely, a distinct pattern of incidental exposure (IE) to and active selection (AS) of radicalizing content, indicates stronger violent extremist attitudes and radical action intentions. Drawing on a representative general population sample (N = 1509) and applying latent class analysis, we addressed this gap in the literature. Results highlighted six types of information use behavior. The largest group of participants reported a near to zero probability of both IE to and AS of radicalizing material. Two groups of participants were characterized by high or moderate probabilities of incidental exposure as well as a low probability of active selection of radicalizing content. The remaining groups displayed either low, moderate, or high probabilities of both IE and AS. Importantly, we showed between-group differences regarding violent extremist attitudes and radical behavioral intentions. Individuals reporting near zero or high probabilities for both IE to and AS of radicalizing information expressed the lowest and strongest violent extremist attitudes and willingness to use violence respectively. Groups defined by even moderate probabilities of AS endorsed violent extremism more strongly than those for which the probability for incidental exposure was moderate or high but AS of radicalizing content was unlikely.

A Spanish value set for the SF-6D based on the SF-12 v1.

This paper reports the first estimation of an SF-6D value set based on the SF-12 for Spain. A representative sample (n = 1020) of the Spanish general population valued a selection of 56 hypothetical SF-6D health states by means of a probability lottery equivalent (PLE) method. The value set was derived using both random effects and mean models estimated by ordinary least squares (OLS). The best model was chosen on the basis of its predictive ability assessed in terms of mean absolute error (MAE). The model yielding the lowest MAE (0.075) was that based on main effects using OLS. Pain was the most significant dimension in predicting health state severity. Comparison with the previous SF-6D (SF-36) model estimated for Spain revealed no significant differences, with a similar MAE (0.081). Nevertheless, the new SF-6D (SF-12) model predicted higher utilities than those generated by the SF-6D (SF-36) scoring algorithm (minimum value -0.071 vs -0.357). A value set for the SF-6D (SF-12) based on Spanish general population preferences elicited by means of a PLE technique is successfully estimated. The new estimated SF-6D (SF-12) preference-based measure provides a valuable tool for researchers and policymakers to assess the cost-effectiveness of new health technologies in Spain.

Development of a value-based scoring system for the MobQoL-7D: a novel tool for measuring quality-adjusted life years in the context of mobility impairment

Purpose To create a preference-based value set scoring system for the MobQoL-7D outcome measure, and to examine differences in the health state preferences of the general population and individuals with impaired mobility. Methods and materials A preference elicitation study was undertaken to ascribe utility weights to all health states (i.e., all unique combination of answers) described by the MobQoL-7D. The elicitation exercise was developed using the Online Elicitation of Personal Utility Functions (OPUF) tool. Two UK sample groups were recruited; firstly a representative general population sample (N = 504), secondly a balanced sample of individuals with impaired mobility (N = 368). Distinct preference-based value sets were developed for each sample. Differences in dimension ranking, weighting, and overall utility values were assessed. Results The general population sample considered most health states, especially the more severe states, to be worse than the mobility impaired sample comparatively. Statistically significant differences between the samples were observed in four of the seven MobQoL-7D dimensions. Conclusions This study is the first to provide preference-based value sets for the MobQoL-7D, ready for use in economic evaluations, QALY calculation, and other clinical or research applications. The study demonstrates how the general public and individuals with impaired mobility value health states differently.

The dimensional structure of the Camouflaging Autistic Traits Questionnaire (CAT-Q) and predictors of camouflaging in a representative general population sample

ObjectivesSome autistic people “camouflage” their differences by modeling neurotypical behaviors to survive in a neurotypical-dominant social world. It remains elusive whether camouflaging is unique to autism or if it entails similar experiences across human groups as part of ubiquitous impression management (IM). Here we examined camouflaging engagement and theoretical drivers in the general population, drawing on the transactional IM framework and contextualizing findings within both contemporary autism research and the past IM literature. MethodsA large representative U.S. general population sample (N = 972) completed this survey study. We combined exploratory item factor analysis and graph analysis to triangulate the dimensional structure of the Camouflaging Autistic Traits Questionnaire (CAT-Q) and examined its correspondence with prior autism-enriched psychometric findings. We then employed hierarchical regression and elastic-net regression to identify the predictors of camouflaging, including demographic (e.g., age, gender), neurodivergence (i.e., autistic and ADHD traits), socio-motivational, and cognitive factors. ResultsWe found a three-factor/dimensional structure of the CAT-Q in the general population, nearly identical to that found in previous autism-enriched samples. Significant socio-motivational predictors of camouflaging included greater social comparison, greater public self-consciousness, greater internalized social stigma, and greater social anxiety. These camouflaging drivers overlap with findings in recent autistic camouflaging studies and prior IM research. ConclusionsThe novel psychometric and socio-motivational evidence demonstrates camouflaging as a shared social coping experience across the general population, including autistic people. This continuity guides a clearer understanding of camouflaging and has key implications for autism scholars, clinicians, and the broader clinical intersecting with social psychology research. Future research areas are mapped to elucidate how camouflaging/IM manifests and functions within person-environment transactions across social-identity and clinical groups.

The journey of patients with skin diseases from the first consultation to the diagnosis in a representative sample of the European general population from the EADV burden of skin diseases study.

The journey of patients with skin diseases through healthcare has been scarcely investigated. To analyse the journey of people with skin diseases in the different healthcare environment in Europe. This multinational, cross-sectional, European study was conducted on a representative sample of the adult general population of 27 European countries. The prevalence of the most frequent skin diseases was determined. Information was collected on the patient journey from the first medical consultation to the diagnosis, and the reasons for not consulting a healthcare professional. On a total of 44,689 individuals, 30.3% reported to have consulted a dermatologist during the previous 2 years. Participants consulted mainly for mole control or skin cancer screening (22.3%), followed by chronic skin diseases (16.2%). The diagnoses of acne, atopic dermatitis, psoriasis and rosacea were made most frequently by a dermatologist, while fungal skin infections were diagnosed more often by a general practitioner (GP), and sexually transmitted diseases (STD) by other specialists. The diagnosis was not always definitive at the first consultation, in particular for STD. The percentage of people who did not consult a healthcare professional for their skin disease was particularly high for acne (36.4%), alopecia (44.7%) and fungal infection (30.0%). Moreover, 17.7% of respondents with psoriasis did not consult. A high percentage of participants with alopecia thought that the disease was not worrying, while patients with psoriasis often answered that they were able to manage the disease since they had already consulted a doctor. Many patients with acne (41.1%) and fungal infection (48.2%) thought that they were able to handle the disease by themselves. The analysis of the self-reported medical journey of patients with common skin diseases may allow to understand the unmet needs of patients, thus improving outcomes and reducing expenses.

Valuing the Dental Caries Utility Index in Australia.

The Dental Caries Utility Index (DCUI) is a new oral health-specific health state classification system for adolescents, consisting of 5 domains: pain/discomfort, difficulty eating food/drinking, worried, ability to participate in activities, and appearance. Each domain has 4 response levels. This study aims to generate an Australian-specific utility algorithm for the DCUI. An online survey was conducted using a representative sample of the adult Australian general population. The discrete choice experiment (DCE) was used to elicit the preferences on 5 domains. Then, the latent utilities were anchored onto the full health-dead scale using the visual analogue scale (VAS). DCE data were modeled using conditional logit, and 2 anchoring procedures were considered: anchor based on the worst health state and a mapping approach. The optimal anchoring procedure was selected based on the model parsimony and the mean absolute error (MAE). A total of 995 adults from the Australian general population completed the survey. The conditional logit estimates on 5 dimensions and levels were monotonic and statistically significant, except for the second level of the "worried" and "appearance" domains. The mapping approach was selected based on a smaller MAE between the 2 anchoring procedures. The Australian-specific tariff of DCUI ranges from 0.1681 to 1. This study developed a utility algorithm for the DCUI. This value set will facilitate utility value calculations from the participants' responses for DCUI in economic evaluations of dental caries interventions targeted for adolescents. Preference-based quality-of-life measures (PBMs), which consist of a health state classification system and a set of utility values (a scoring algorithm), are used to generate utility weights for economic evaluations.This study is the first to develop an Australian utility value set for the Dental Caries Utility Index (DCUI), a new oral health-specific classification system for adolescents.The availability of a utility value set will enable using DCUI in economic evaluations of oral health interventions targeted for adolescents and may ultimately lead to more effective and efficient planning of oral health care services.

Areas of Concern and Support among the Austrian General Population: A Qualitative Content Analytic Mapping of the Shift between Winter 2020/21 and Spring 2022.

This study aimed to analyze areas of concern and support of the Austrian general population two years into the COVID-19 pandemic. A representative sample (N = 1031) of the Austrian general population was surveyed online between 19 April 2022 and 26 April 2022. A qualitative study design was used to explore the factors of most considerable current concern (Question 1) and the most important sources of support (Question 2). The responses to the two open-ended questions were evaluated using a conventional content analysis, and categories were formed according to the frequency of the answers. The analysis revealed that inflation and finances (30% of participants) and the war in Ukraine (22%) were the greatest sources of concern, followed by mental health (11%), and physical health (11%). Factors such as social contacts within and outside the family were mentioned most frequently as sources of support (36% of participants), followed by recreational activities (23%) and attitudes and abilities (22%). Compared to data collected at the end of the first year of the pandemic (between 23 December 2020 and 4 January 2021), concern about one's financial situation was now mentioned more frequently (30% vs. 8,5%). On the other hand, different types of pandemic-related concerns were mentioned less often. Social contacts and recreation were mentioned as the most important sources of support at both time points (46% and 36% of the participants). The results suggest that the economic concerns are lagging behind the restrictions imposed by the pandemic. In addition, the impending war in Ukraine seems to have a relevant impact on mental health in Austria. Further nuanced qualitative research, particularly involving vulnerable groups such as low-income individuals and the unemployed, is crucial.

Time perspective profile and self-reported health on the EQ-5D

ObjectivesTime perspective (TP) is a psychological construct that is associated with several health-related behaviours, including healthy eating, smoking and adherence to medications. In this study, we aimed to examine the associations of TP profile with self-reported health on the EQ-5D-5L and to detect which domains display response heterogeneity (cut-point shift) for TP.MethodsWe conducted a secondary analysis of EQ-5D-5L data from a representative general population sample in Hungary (n = 996). The 17-item Zimbardo Time Perspective Inventory was used to measure individuals' TP on five subscales: past-negative, past-positive, present-fatalist, present-hedonist and future. The associations between TP subscales and EQ-5D-5L domain scores, EQ VAS and EQ-5D-5L index values were analysed by using partial proportional odds models and multivariate linear regressions.ResultsRespondents that scored higher on the past-negative and present-fatalist and lower on the present-hedonist and future subscales were more likely to report more health problems in at least one EQ-5D-5L domain (p < 0.05). Adjusting for socio-economic and health status, three EQ-5D-5L domains exhibited significant associations with various TP subscales (usual activities: present-fatalist and future, pain/discomfort: past-negative and future, anxiety/depression: past-negative, present-fatalist, present-hedonist and future). The anxiety/depression domain showed evidence of cut-point shift.ConclusionsThis study identified response heterogeneity stemming from psychological characteristics in self-reported health on the EQ-5D-5L. TP seems to play a double role in self-reported health, firstly as affecting underlying health and secondly as a factor influencing one’s response behavior. These findings increase our understanding of the non-health-related factors that affect self-reported health on standardized health status measures.

Musculoskeletal pain intensity and risk of long-term sickness absence in the general working population: A prospective cohort study with register follow-up

Determining predictors of sickness absence could allow for better screening, guidance, and development of preventive efforts aimed at those in increased risk. This study aimed to determine the prospective association between musculoskeletal pain intensity and risk of incident register-based long-term sickness absence in the general working population, as well as to determine the population attributable fraction.Drawing on data from a nation-wide questionnaire survey, this prospective cohort study followed a representative sample of the Danish general working population without recent long-term sickness absence (≥6 consecutive weeks) (n = 69,273) for long-term sickness absence up to two years (mean follow-up: 93 weeks) in a national register. The predictor was musculoskeletal pain intensity in the neck/shoulder and low-back during the preceding three months rated on an 11-point numerical rating scale from 0 to 10.The weighted incidence of long-term sickness-absence was 8.9% during two-year follow-up (n = 6165). We observed a clear dose-response association between musculoskeletal pain intensity of the neck/shoulder or low-back and the risk of incident long-term sickness absence, with a lower threshold of increased risk of 4 and 3 (scale 0–10) for neck/shoulder (HR (95% CI): 1.25 (1.09–1.42)) and low-back pain (HR (95% CI): 1.13 (1.00–1.29)), respectively. Prevention of pain intensities at or above 4 out of 10 could potentially prevent 17% (population attributable fraction, PAF (95% CI): 16.8 (13.6–20.1)) of the total long-term sickness absence in the general working population. Large-scale interventions to prevent and manage musculoskeletal pain need to be documented and implemented.

Quality of life after pediatric cancer: comparison of long-term childhood cancer survivors’ quality of life with a representative general population sample and associations with physical health and risk indicators

BackgroundThis study aimed to compare the quality of life (QoL) reported by childhood cancer survivors (CCS) drawn from a cohort of the German Childhood Cancer Registry with a representative general population sample and, within CCS, to test associations between QoL and health behavior, health risk factors, and physical illness.MethodsCCS (N = 633, age at diagnosis M = 6.34 (SD = 4.38), age at medical assessment M = 34.92 (SD = 5.70)) and a general population sample (age-aligned; N = 975) filled out the EORTC QLQ-C30. Comparisons were performed using General linear models (GLMs) (fixed effects: sex/gender, group (CCS vs. general population); covariates: age, education level). CCS underwent an extensive medical assessment (mean time from diagnosis to assessment was 28.07 (SD = 3.21) years) including an objective diagnosis of health risk factors and physical illnesses (e.g., diabetes and cardiovascular disease). Within CCS, we tested associations between QoL and sociodemographic characteristics, health behavior, health risk factors, and physical illness.ResultsCCS, especially female CCS, reported both worse functional QoL and higher symptom burden than the general population. Among CCS, better total QoL was related to younger age, higher level of education, being married, and engaging in active sports. Both health risk factors (dyslipidemia and physical inactivity) and manifest physical illnesses (cardiovascular disease) were associated with lower total QoL.ConclusionsIn all domains, long-term CCS reported worse QoL than the comparison sample. The negative associations with risk factors and physical illnesses indicate an urgent need for long-term surveillance and health promotion.

Comparison of Self-Reported Childhood Maltreatment Between East and West Germany

The socioecological model emphasize the relevance of political, cultural and economic socialization effects for the prevalence of childhood maltreatment, which are analyzed by comparing child maltreatment between East and West German subjects who came of age before the fall of the Berlin Wall. Using an online survey, a representative general population sample with respect to age, gender distribution and income was assessed regarding child maltreatment and current psychological distress using standardized self-report instruments. Of 507 study participants, 22,5% reported being born and socialized in East Germany. They reported significantly less emotional abuse than the 77,5% who grew up in the FRG. The East and West German subjects did not differ in any other form of abuse. Our findings underline the importance of socialization and enculturation effects on memory, which should be considered when interpreting the results.