Search results for "Health indicator"

showing 10 items of 37 documents

Benefits of physical exercise in postmenopausal women

2016

Physical inactivity not only places women's health at risk during menopause, but also increases menopausal problems. Abundant evidence links habitual physical exercise (PE) to a better status on numerous health indicators and better quality of life and to the prevention and treatment of the ailments that typically occur from mid-life onwards. We can infer that PE is something more than a lifestyle: it constitutes a form of therapy in itself. A panel of experts from various Spanish scientific societies related to PE and menopause (Spanish Menopause Society, Spanish Cardiology Society, Spanish Federation of Sports Medicine) met to reach a consensus on these issues and to decide the optimal ti…

Gerontologymedicine.medical_specialtySports medicinePoison controlSuicide preventionGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineQuality of life (healthcare)Injury preventionmedicineHumans030212 general & internal medicineExerciseLife Style030219 obstetrics & reproductive medicinebusiness.industryObstetrics and GynecologyMiddle Agedmedicine.diseaseHealth indicatorPostmenopauseMenopauseHealth promotionQuality of LifePhysical therapyWomen's HealthFemalebusinessMaturitas
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Health care system’s and health self-evaluation of Latvia inhabitants in the context of the European quality of life survey (EQLS) of 2011 and 2016

2020

The quality of the inhabitants of the country is a decisive factor influencing production. At the same time one of the factors characterizing the quality of the inhabitants is their health. Researches of scientists in the last decades have proved mutual interrelation of health of the inhabitants and economic growth: a healthy nation is an important factor of economic growth and vice versa, i.e., the economic growth improves the inhabitants’ health improving life quality in total. The subjective evaluation of the life quality supplements the official statistical information. The European Quality of Life Survey (EQLS) is an approved quality supervision and analysis tool that has taken place f…

Health indicatorsHealthHealth care system:SOCIAL SCIENCES::Business and economics [Research Subject Categories]
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BMC Public Health

2022

Background In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the “Lancet Countdown: Tracking Progress on Health an…

Health indicatorsPublic healthClimate Change:Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic [Àrees temàtiques de la UPC]Public Health Environmental and Occupational HealthDiseasesCommunicable DiseasesClimate dataVDP::Medisinske Fag: 700::Helsefag: 800RA Public aspects of medicinePolicy makingHumansClimate changeIndicatorsGE Environmental SciencesCanvis climàtics
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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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2021

(1) Background: The use of social media has become an integral part of adolescents’ daily lives. However, the intensive use of social media can develop into a health-threatening addiction, but unfavourable health consequences can occur even with less use. Social media user groups categorized as no-risk, moderate risk (of developing problematic behaviour), and problematic use were examined with reference to their prevalence, their associations with individual determinants and health, and the increased health risk between groups. (2) Methods: The Finnish nationally representative HBSC data (persons aged 11, 13, and 15, n = 3408) and descriptive and binary logistic regression analysis were app…

Health Toxicology and MutagenesisAddictionmedia_common.quotation_subject05 social sciencesPublic Health Environmental and Occupational HealthHealth literacyHealth indicator03 medical and health sciences0302 clinical medicineRisk groupsEnvironmental healthRespondentUser group0501 psychology and cognitive sciencesSocial media030212 general & internal medicineHealth riskPsychology050104 developmental & child psychologymedia_commonInternational Journal of Environmental Research and Public Health
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Does health literacy explain the link between structural stratifiers and adolescent health?

2019

Abstract Background The concept of health literacy (HL) may help us to better understand the mechanisms leading to health disparities, and to focus on the factors that can be influenced. However, not much is yet known about how HL is related to health disparities, or whether the association exists among adolescents. The aim of the study was to examine the associations between structural stratifiers, HL and health indicators among adolescents. Methods The nationally representative Finnish Health Behaviour in School-aged Children survey data (n=3833) were collected from 13- and 15-year-old pupils in the spring of 2014. Pearson correlation coefficients were calculated, and separate path models…

MaleAdolescentHealth BehaviorMEDLINEAdolescent HealthHealth literacyAcademic achievementAffect (psychology)Developmental psychology03 medical and health sciences0302 clinical medicineHumans030212 general & internal medicineFinland030505 public healthPublic Health Environmental and Occupational HealthHealth Status DisparitiesHealth indicatorHealth equityHealth LiteracySurvey data collectionEducational StatusFemale0305 other medical sciencePsychologyAdolescent healthEuropean journal of public health
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Workplace burnout and health issues among Colombian correctional officers.

2018

IntroductionCorrectional employees typically work under adverse conditions that may enhance the occurrence of different negative psychological states. Burnout constitutes a high-risk phenomenon that may affect people's physical/mental health and welfare, especially in vulnerable occupational groups.ObjectivesThe aim of this study was to characterize the burnout profile of correctional officers, and to associate their burnout profile with health issues and lifestyle factors.MethodsThe full sample was composed of 219 Colombian correctional officers with a mean age of 30.18 years. A questionnaire composed of three sections was employed: demographic data, burnout, and health information.Results…

MaleEconomicshealth care facilities manpower and servicesEmotionsSocial SciencesBurnout0302 clinical medicineSurveys and QuestionnairesMedicine and Health SciencesPsychologyPublic and Occupational Health030212 general & internal medicineWorkplaceBurnout Professionalmedia_commonPolice psychologyMultidisciplinaryAlcohol ConsumptionQRMiddle Aged030210 environmental & occupational healthPoliceSports ScienceMedicineFemalePsychologypsychological phenomena and processesClinical psychologyResearch ArticleAdultEmploymentAdolescentmedia_common.quotation_subjectScienceeducationPsychological StressJobsColombiaModels PsychologicalDisease clusterAffect (psychology)03 medical and health sciencesSocial supportYoung Adulthealth services administrationMental Health and PsychiatryHumansSports and Exercise MedicineExerciseNutritionPsychological and Psychosocial IssuesBiology and Life SciencesPhysical ActivityMental healthHealth indicatorDietHealth CarePsicologiaPhysical FitnessPrisonsLabor EconomicsLaw and Legal SciencesWelfareCriminal Justice SystemPLoS ONE
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Adjusting for selective non-participation with re-contact data in the FINRISK 2012 survey

2018

Aims: A common objective of epidemiological surveys is to provide population-level estimates of health indicators. Survey results tend to be biased under selective non-participation. One approach to bias reduction is to collect information about non-participants by contacting them again and asking them to fill in a questionnaire. This information is called re-contact data, and it allows to adjust the estimates for non-participation. Methods: We analyse data from the FINRISK 2012 survey, where re-contact data were collected. We assume that the respondents of the re-contact survey are similar to the remaining non-participants with respect to the health given their available background informa…

MaleFOS: Computer and information sciences01 natural sciences010104 statistics & probabilitymissing data0302 clinical medicineEpidemiologyPrevalence030212 general & internal medicinebias (epidemiology)Finlandmedia_commonjuomatavatGeneral Medicineta3142Middle AgedvalikoitumisharhadataFemalealkoholinkäyttöPsychologyAlcohol consumptionsurvey-tutkimusAdultmedicine.medical_specialtyAlcohol Drinkingmedia_common.quotation_subjectalcohol consumptionSurvey resultStatistics - Applicationssmoking03 medical and health sciencesNon participationtupakointiEnvironmental healthmedicineHumansselection biasApplications (stat.AP)0101 mathematicsAgedSelection biasta112Public Health Environmental and Occupational Healthepidemiologiset harhatMissing dataHealth SurveysHealth indicatorterveystutkimusPatient Participation
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Smoking and long-term labour market outcomes.

2014

Objective To examine the long-term effects of smoking on labour market outcomes using twin data matched to register-based individual information on earnings. Method Twin data for Finnish men born 1945–1957 was used to remove the shared environmental and genetic factors. The results were subjected to extensive robustness testing. Lifetime cigarette consumption was measured by (cumulative) cigarette pack-years in early adulthood. The average of an individual's earnings (and, alternatively, taxable income) was measured over a subsequent 15-year period in later adulthood. Results Smokers have lower long-term income and earnings. For example, controlling for the shared environmental and genetic …

MaleLabour economicsHealth (social science)talousmedia_common.quotation_subjectPublic policytyömarkkinat03 medical and health sciences0302 clinical medicinetupakointiEconomicsHumans030212 general & internal medicineFinlandmedia_commonAgedConsumption (economics)Extraversion and introversionEarnings030503 health policy & servicesAddictionSmokingPublic Health Environmental and Occupational HealthTwins MonozygoticMiddle AgedHealth indicatorTerm (time)Taxable income8. Economic growthIncome0305 other medical sciencepopulation healthDemographyTobacco control
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Patterns of objectively measured sedentary time in 10- to 12-year-old Belgian children: an observational study within the ENERGY-project

2017

Background This study examined the frequency of and differences in sedentary bouts of different durations and the total time spent in sedentary bouts on a weekday, a weekend day, during school hours, during after-school hours and in the evening period in a sample of 10- to 12-year-old Belgian children. Methods Accelerometer data were collected as part of the ENERGY-project in Belgium (n = 577, 10.9 ± 0.7 years, 53% girls) in 2011. Differences in total sedentary time, sedentary bouts of 2–5, 5–10, 10–20, 20–30 and ≥30 min and total time accumulated in those bouts were examined on a weekday, a weekend day, during school hours, during after-school hours and in the evening period, using multile…

MaleTime FactorsChild BehaviorOPERATIONAL DEFINITIONS0302 clinical medicineBelgiumCARDIOMETABOLIC RISKYOUNG-ADULTSAccelerometryMedicine and Health Sciences030212 general & internal medicineMETABOLIC RISKChildChildrenCardiometabolic riskSchoolslcsh:RJ1-570HEALTH INDICATORSPeer reviewSedentary timePOSTPRANDIAL GLYCEMIAFemaleBEHAVIORResearch Articlemedicine.medical_specialtyEveningeducationPhysical activity03 medical and health sciencesSedentary boutsVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Pediatri: 760medicineHumansAccelerometer dataExerciseSedentary timephysical activity & healthModels Statisticalbusiness.industryRANDOMIZED CROSSOVERMetabolic risklcsh:Pediatrics030229 sport sciencesAccelerometerPHYSICAL-ACTIVITYCANADIAN ADULTSPediatrics Perinatology and Child HealthPhysical therapyObservational studySedentary Behaviorbusinesshuman activitiesBMC Pediatrics
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