Search results for "self-assessed health"

showing 8 items of 8 documents

Association Between Self-Assessed Health and Attitude Towards Own Health

2014

This paper explores association between health and attitude towards own health in two dimensions – taking care of own health and lifestyle. We apply two-dimensional stereotype logit model to estimate association between self-assessed health and attitude towards health, after accounting for socioeconomic factors. We find evidence of strong positive association between health status and (perceived) taking care of own health and lifestyle. Analysis of perception of the two concepts – "taking care of own health" and "healthy lifestyle" – provides insights into possible reasons of not very good indicators of health behaviour among Latvian population.

jel:I18jel:C52jel:I10Self-assessed health Attitude towards health Lifestyle Stereotype logitEconomic Research Guardian
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Multidimensional health modeling: Association between socioeconomic and psychosocial factors and health in Latvia

2009

This research aims at estimating association between socioeconomic and psychosocial factors on the one hand and health in Latvia on the other hand. While information on association between socioeconomic determinants of population health in Latvia is scarce, effect of psychosocial resources on individual health in this country hasn’t been estimated before. We find empirical support for the association between different psychosocial factors and physical health in Latvia. This paper proposes new approach for modelling self-assessed health. We find that the concept of health is too complicated to measure effects of health determinants using a one-dimensional econometric model. We apply two-dime…

medicine.medical_specialtyjel:C52Public healthLogitOrdered probitPopulation healthLogistic regressionjel:I10Econometric modeljel:I18Political sciencemedicineEconometricsself-assessed health; socioeconomic determinants; psychosocial factors; nonmonotonicity; stereotype logitOrdered logitPsychosocial
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REPORTING HETEROGENEITY IN SUBJECTIVE HEALTH MEASURES: AN EXTENDED LATENT CLASS APPROACH

2009

Self-assessed health Self-reporting bias Biomarkers Latent Class Analysis.
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Reporting heterogeneity in health: an extended latent class approach

2012

This article explores how individual socio-economic characteristics affect unobserved heterogeneity in self-reporting behaviour and health production using a multivariate finite mixture model. Results show a positive relationship between objective and subjective observable health indicators and true health and support the existence of self-reporting bias related to socio-economic characteristics and individual life styles.

Health productionEconomics and EconometricsMultivariate statisticsself-assessed health multivariate finite mixture model biomarkers self-reporting biasSettore SECS-P/03 - Scienza Delle FinanzeStatisticsEconometricsPositive relationshipAffect (psychology)PsychologyMixture modelHealth indicatorClass (biology)
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Self-reported health versus biomarkers: does unemployment lead to worse health?

2020

Abstract Objectives This paper examines the relationship between unemployment and health using both subjective and biometric information on health status. Study design Longitudinal panel data. Methods We compare the results of regressions of unemployment on self-reported health with those of regressions of unemployment on health as measured with biomarkers (hypertension and levels of blood glucose and C-reactive protein). Using the panel structure of our data, we account for selection bias with respect to unemployment by controlling for health before exposure to unemployment. Results We observe a striking pattern. Using self-reported health as the outcome variable, we find a link between un…

AdultMaleunemploymentmedia_common.quotation_subjectHealth Statusbiomarkkeritkoettu terveys03 medical and health sciencesDiagnostic Self Evaluation0302 clinical medicineOutcome variableEnvironmental healthMedicineHumans030212 general & internal medicineLongitudinal Studiesmedia_commonAgedSelection biasAged 80 and overbusiness.industry030503 health policy & servicesterveydentilaPublic Health Environmental and Occupational Healthbiomarkersself-assessed healthGeneral MedicinetyöttömyysMiddle AgedUnemploymentUnemploymentFemale0305 other medical sciencebusinessBiomarkersPanel dataPublic health
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The unobserved pattern of material hardship and health among older Americans

2019

This paper investigates the relationship between self-reported health and material hardship among older Americans. Differently from income-based measures, material hardship provides a more specific description of the concrete adversities faced by the elderly. We have used the last six waves of the Health and Retirement Study to explore the relative contributions of state dependence, unobserved heterogeneity and time-specific shocks on reporting poor health, experiencing food insecurity and medication cutbacks. We have used a Latent Markov model to estimate a multivariate non-linear system of equations for panel data allowing time-varying unobserved heterogeneity. Our results reveal a high s…

MaleMultivariate statisticsHealth StatusSelf-assessed healthMarkov modelFood Supply03 medical and health sciencesLatent Markov model0502 economics and businessEconomicsHumansState dependence050207 economicsPovertyhealth care economics and organizationsAgedMaterial hardshipModels Statistical030503 health policy & servicesHealth Policy05 social sciencesPublic Health Environmental and Occupational HealthHealth and Retirement StudyMarkov ChainsUnited StatesFood insecuritySocioeconomic FactorsSettore SECS-P/03 - Scienza Delle FinanzeFemaleDemographic economics0305 other medical sciencehuman activitiesTrajectoriePanel dataJournal of Health Economics
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Multidimensional Health Modelling: Association between Socioeconomic Factors and Health in Latvia

2012

This paper proposes new approach for modelling self-assessed health. We find that the concept of health is too complicated to measure effects of health determinants using a one-dimensional econometric model. We apply two-dimensional stereotype logistic model that allows capturing nonmonotonicity in effects of factors and revealing significant effects that remain unrevealed if single dimension models, such as ordered logit or ordered probit, are used. Modelling self-assessed health using multi-dimensional stereotype logit provides higher model goodness of fit and quality measures in comparison to ordered probit model. Multi-dimensional stereotype logit is applied to estimate association betw…

jel:I18jel:C52Self-assessed health Socioeconomic determinants Nonmonotonicity Stereotype logitjel:I10Economic Research Guardian
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Structure of self-rated health among the oldest old: Analyses in the total population and those living with dementia

2020

No previous study has explored the structure of self-rated health (SRH), a measure holding strong predictive value for future health events, in the oldest old or in individuals with dementia. The aim was to construct a structural equation model of SRH for oldest old in general and for oldest old with dementia, and to explore direct and indirect associations between health-related factors and SRH. Cross-sectional data from the Vitality 90+, a population-based study in the city of Tampere, Finland, was used. Data were gathered by a mailed questionnaire in 2014. Altogether 1299 nonagenarians, of which 408 had self-reported dementia or cognitive decline, were included. Structural equation model…

cognitionkognitioeducationstructural equation modellingperceived healthSelf-assessed healthkoettu terveysArticleCognitionlcsh:Social sciences (General)FinlandPerceived healthlcsh:Public aspects of medicinelcsh:RA1-1270self-assessed health3142 Public health care science environmental and occupational health3141 Health care sciencebody regions5142 Social policynonagenariansStructural equation modellingNonagenarianslcsh:H1-99316 NursingmuistisairaatikääntyneetSSM - Population Health
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