Search results for "Habits"

showing 10 items of 229 documents

Dietary assessment methods in surveillance systems targeted to adolescents: A review of the literature

2019

Abstract Aims The present paper aims to identify ongoing multinational surveillance systems (SURSYSs) assessing diet and nutrition targeted to adolescents, including European surveys involving multiple countries and similar initiatives conducted in non-European countries with developed economies, and to describe the dietary assessment methods used. Data synthesis A total of 13 SURSYSs conducted in Europe, USA, Canada, Australia and New Zealand were identified. Dietary assessment methods commonly used include 24-h recalls (24H-Rs) and questionnaires or interviews. Food frequency questionnaires (FFQs) are used in combination with 24H-Rs in six SURSYSs: only FFQs are used in four SURSYSs; 24H-…

MaleDietary assessmentAdolescentEndocrinology Diabetes and MetabolismAdolescent Nutritional Physiological PhenomenaHealth BehaviorMedicine (miscellaneous)Nutritional Status030209 endocrinology & metabolism030204 cardiovascular system & hematologyRecommended Dietary AllowancesDietary habitDiet Surveys03 medical and health sciences0302 clinical medicineEnvironmental healthHumansSurveyAdolescence; Dietary consumption; Dietary habits; Surveillance system; Survey; Adolescent; Adolescent Nutritional Physiological Phenomena; Age Factors; Diet Surveys; Female; Humans; Male; Nutritional Status; Nutritive Value; Recommended Dietary Allowances; Reproducibility of Results; Adolescent Behavior; Diet Records; Diet Healthy; Feeding Behavior; Health BehaviorSurveillance systemHealthyNutrition and DieteticsFood frequencyDietary habitsData synthesisAge FactorsReproducibility of ResultsFeeding BehaviorAnthropometryDiet RecordsDietAdolescenceGeographyHomogeneousAdolescent BehaviorFruits and vegetablesDietary consumptionFemaleDiet HealthyCardiology and Cardiovascular MedicineNutritive ValueFast foods
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The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale

2020

Introduction Healthy lifestyles are relevant to several diseases and to maintain individuals’ mental health. Exposure to epidemics and confinement have been consistently associated with psychological consequences, but changes on lifestyle behaviours remain under-researched. Materials and Methods An online survey was conducted among the general population living in Spain during the COVID-19 home-isolation. In addition to demographic and clinical data, participants self-reported changes in seven lifestyle domains. The Short Multidimensional Inventory Lifestyle Evaluation was developed specifically to evaluate changes during the confinement (SMILE-C). Results A total of 1254 individuals comple…

MaleGerontologyEncuestaStress managementCOVID-19 confinementHealth StatusPoblación generalHabits0302 clinical medicinePandemic030212 general & internal medicineSurveyeducation.field_of_studyGeneral populationGeneral MedicineMiddle AgedPsychiatry and Mental healthScale (social sciences)FemaleOriginal ArticlePsychologyAdultPopulationEstilo de vidaMultidimensional scale03 medical and health sciencesSocial supportCronbach's alphaEscala multidimensionalHumansConfinamiento por COVID-19educationExerciseLife StylePandemicsAnalysis of VarianceData collectionSARS-CoV-2COVID-19Social SupportLifestyleMental healthCross-Sectional StudiesSpainHealth Care SurveysSample SizeRecreationSelf Reportsense organsSleepStress Psychological030217 neurology & neurosurgeryRevista De Psiquiatria Y Salud Mental
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Frequency of nut consumption and mortality risk in the PREDIMED nutrition intervention trial

2013

© 2013 Guasch-Ferré et al.

MaleGerontologyMediterranean dietenfermedad coronariahumanosCoronary DiseaseDiet Mediterraneanestudios de seguimientoCardiovascularCohort StudiesRisk FactorsMedicineNutsLongitudinal StudiesProspective cohort studyestudios de cohortesCàncermediana edadCancerMedicine(all)education.field_of_studyancianodietaHàbits alimentarisHazard ratiodigestive oral and skin physiologyfood and beveragesGeneral MedicineMiddle AgedCardiovascular systemCohortFemaleDietaaceites de plantasResearch ArticleCohort studyNutFood habitsPopulationNational Death IndexMediterranean cookingCuina mediterràniaHumansPlant Oilsfactores de riesgoMortalityeducationAgedSistema cardiovascularconducta alimentariabusiness.industryPREDIMED studyFeeding BehaviorDietnuecesestudios longitudinalesbusinessDemographyFollow-Up Studies
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Dietary α-Linolenic Acid, Marine ω-3 Fatty Acids, and Mortality in a Population With High Fish Consumption: Findings From the PREvención con DIeta ME…

2016

12 Páginas.-- 6 Tablas.-- 1 Figura

MaleGerontologyTime FactorsEpidemiologymodelos de riesgos proporcionaleshumanos030204 cardiovascular system & hematologychemistry.chemical_compound0302 clinical medicineRisk Factorsestudios prospectivosevaluación de riesgosMedicineNutsSudden cardian death030212 general & internal medicineFood scienceLongitudinal StudiesProspective Studiesmediana edadOriginal ResearchDiet and NutritionAged 80 and overchemistry.chemical_classificationeducation.field_of_studyancianoalpha-Linolenic aciddietaFactors de risc en les malaltiesHàbits alimentarisFatty Acidsω-3 fatty acidsFatty acids in human nutritionalpha-Linolenic Aciddistribución de la ji al cuadradoMiddle AgedCardiovascular systemnutritionCardiovascular DiseasesFemaleDietaCardiology and Cardiovascular MedicineNutritive Valueconducta de reducción del riesgoRisk factors in diseasesFood habitsPopulationenfermedades cardiovasculares030209 endocrinology & metabolismJuglansRisk Assessmentsudden cardiac death03 medical and health sciencesalimentos del marfactores de tiempoMediterranean cookingÀcids grassos en la nutricióFatty Acids Omega-3Cuina mediterràniaPeix com a alimentHumansfactores de riesgoanálisis multifactorialeducationOlive OilDieta -- Mediterrània Regió de laDieta mediterraneaácidos grasosα-linolenic acidAgedProportional Hazards ModelsSistema cardiovascularChi-Square Distributionbusiness.industryCorrectionFatty acidHàbits alimentaris -- Mediterrània Regió de laProtective FactorsFish consumptionPredimedDietnueceschemistrySeafoodSpainMultivariate Analysisvalor nutritivoestudios longitudinalesfatty acidbusinessRisk Reduction Behaviorácido alfa-linolénico
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What Makes a 97-Year-Old Man Cycle 5,000 km a Year?

2016

<b><i>Background:</i></b> The nature versus nurture debate is one of the oldest issues in the study of longevity, health and successful aging. <b><i>Objective:</i></b> We present a 97-year-old man (I.K.) as an example of the effects of habitual exercise on the aging process. <b><i>Methods:</i></b> Extensive assessments included medical examinations, interviews, musculoskeletal structure, performance characteristics, cognitive function and gut microbiota composition. <b><i>Results:</i></b> I.K. suffers from iatrogenic hypogonadism, prostate cancer, hypothyroidism and a history of deep popliteal th…

MaleGerontologylifestyleAgingHealth Statusmedia_common.quotation_subjectLongevityPhysical fitnessNature versus nurtureHabits03 medical and health sciencesInterpersonal relationshipCognitionLife Expectancy0302 clinical medicineHumansMedicineInterpersonal RelationsMedical historyhabitual exerciseExerciseGeriatric AssessmentLife Stylemedia_commonAged 80 and overSuccessful agingcyclebusiness.industryLongevityta3141Cognition030229 sport scienceshealthy agingPhysical FitnessLife expectancysportsGeriatrics and Gerontologybusiness030217 neurology & neurosurgery
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Mortality and health-related habits in 900 Finnish former elite athletes and their brothers.

2018

BackgroundThere is conflicting evidence on the associations between participation in vigorous sports, health habits, familial factors and subsequent mortality. We investigated all-cause mortality and health-related behaviour among former elite athletes and their brothers.MethodsThe mortality of Finnish male former elite athletes, who had represented Finland between 1920 and 1965 (n=900) and their age-matched brothers (n=900), was followed from the time when athlete started an elite athlete career until 31 December 2015. The age-adjusted HRs were calculated by a paired Cox proportional hazards model. In 2001, surviving participants (n=199 athletes and n=199 age-matched brothers) reported the…

MaleHealth BehaviorPoison controlADULTHOODmortality rate030204 cardiovascular system & hematologySuicide preventionOccupational safety and healthveljetCohort Studies0302 clinical medicinebrothersSurveys and QuestionnairesSELF-RATED HEALTHMedicineOrthopedics and Sports MedicinekohorttitutkimusFinlandSelf-rated healthALL-CAUSE MORTALITYAged 80 and overbiologySmokingTWIN COHORTGeneral Medicine3142 Public health care science environmental and occupational healthCohortCARDIORESPIRATORY FITNESSCohort studyhuippu-urheilijatkuolleisuusAdultmedicine.medical_specialtyelintavatAlcohol DrinkingDISEASE-SPECIFIC MORTALITYPhysical Therapy Sports Therapy and Rehabilitation03 medical and health sciencesYoung AdultInjury preventioncohort studyHumansMortalityCARDIOVASCULAR EVENTSExerciselifestyle habitsAgedProportional Hazards Modelstop athletesbusiness.industryAthletesSiblings030229 sport sciencesbiology.organism_classificationPHYSICAL-ACTIVITYAthletesPhysical therapyRISK-FACTORSbusinessFOLLOW-UPDemographyBritish journal of sports medicine
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Long-term determinants of changes in television viewing time in adults: Prospective analyses from the Young Finns Study

2018

Purpose The long-term effects of sociodemographic and health characteristics on television viewing (TV) time changes have not been identified in adulthood. We aimed to examine the modifiable and non-modifiable determinants of changes in TV-time in young adults over 10 years. Methods Participants (N = 2929) aged 24-39 years were recruited between 2001 and 2011 from the Cardiovascular Risk in Young Finns Study. Data were collected using questionnaires and a medical examination. The determinants of changes in TV-time were estimated using latent growth modeling for men and women separately. Results For men, inverse associations with initial levels of TV-time were observed for students becoming …

MaleHealth BehaviorPsychological interventionOverweight0302 clinical medicineajankäyttöSurveys and QuestionnairesOrthopedics and Sports Medicine030212 general & internal medicineProspective StudiesYoung adultkatselutottumuksetFinlandFamily CharacteristicsSmokingAge Factorsdeterminantsta3142aikuisuusFemaleTelevisionmedicine.symptomHealth habitsAdultEmploymentTelevision viewingTV-timeadulthoodlongitudinalPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusTime03 medical and health sciencesYoung Adultlatent growth modelingmedicineHumansObesityExercisebusiness.industryLatent growth modelingtelevisio (joukkoviestimet)030229 sport sciencesOverweightta3121medicine.diseasetaustatekijätObesityTime changesSedentary BehaviorbusinessDemographyFollow-Up StudiesScandinavian Journal of Medicine and Science in Sports
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Maintaining everyday life praxis in the time of COVID-19 pandemic measures (ELP-COVID-19 survey)

2020

Abstract Background The extreme social circumstances caused by declared COVID-19 pandemic deeply intervene people’s everyday life and should not be neglected but seen through the view of social reality pinpointing the ‘ordinary’ people. In this article, authors explored basic segments of everyday and their subjective perception to what extent sleeping habits, physical inactivity, physical activity, nutritional habits and smoking have changed. Methods The online survey was conducted in nine European countries (Bosnia and Herzegovina, Croatia, Greece, Kosovo*, Italy, Serbia, Slovakia, Slovenia and Spain) in 4108 participants, aged 15–82 years. The survey took place 30–40 days after World Heal…

MaleHealth Behaviordaily life praxispandemijephysical activitygibanje0302 clinical medicinePandemic030212 general & internal medicineYoung adultEveryday lifemedia_commonAged 80 and overživljenjski stilPublic healtheducation.field_of_studyPraxisudc:316.728:616-036.21SmokingCOVID-19 pandemic measurespublic healthsleeping habitsMiddle AgedEuropeAdolescent Adult Aged 80 and over COVID-19 Europe Exercise Feeding Behavior Female Humans Male Middle Aged Pandemics SARS-CoV-2 Screen Time Sleep Smoking Young Adult Health Behavior Life StyleFemalePsychologyAcademicSubjects/SOC02610AdultCoronavirus disease 2019 (COVID-19)Adolescentmedia_common.quotation_subjectPopulationspalne navadeOriginal Manuscriptphysical activity ; smoking ; lack of exercise ; alcohol drinking ; sports ; World Health Organization ; eating ; sleep ; pandemics ; screen time ; containment ; healthy lifestyle ; coronavirus pandemicScreen Time03 medical and health sciencesScreen timeYoung AdultSleeping habitsHumansAcademicSubjects/MED00860AcademicSubjects/SOC01210educationExerciseLife StylePandemicscoronavirus pandemicAgedConsumption (economics)Daily life praxisPhysical activitySARS-CoV-2koronavirusjavno zdravjePublic Health Environmental and Occupational HealthEating habitsCOVID-19eating habitsFeeding BehaviorCOVID-19 ukrepiprehranjevalne navadeSleepgibalna aktivnost030217 neurology & neurosurgeryDemography
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Longitudinal physical activity trajectories from childhood to adulthood and their determinants: The Young Finns Study

2018

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/comp…

MaleHealth Statusphysical activityAcademic achievement0302 clinical medicineMedicineOrthopedics and Sports MedicineLongitudinal Studies030212 general & internal medicineYoung adultChildta315FinlandActive groupReference groupaikuiseteducation.field_of_studyta3141ta3142Middle AgedaikuisuusChild PreschoolCohortFemaleHealth habitsfyysinen aktiivisuusAdultAdolescentlongitudinalPopulationPhysical activityPhysical Therapy Sports Therapy and RehabilitationYoung Adult03 medical and health sciencesHumanstrajectorieseducationExerciseLife Stylelapsetbusiness.industry030229 sport scienceslapsuusta3121ta3123behaviourpopulation-basedlatent class growth modellingSelf ReportbusinessDemographyScandinavian Journal of Medicine and Science in Sports
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Behavioral Health at School: Do Three Competences in Road Safety Education Impact the Protective Road Behaviors of Spanish Children?

2019

Background: Education in road safety (also known as Road Safety Education&mdash

MaleHealth Toxicology and MutagenesisApplied psychologyPsychological interventionPoison controllcsh:MedicineSuicide preventionOccupational safety and healthArticlebehavioral healthtraffic crashes03 medical and health sciencesHabits0302 clinical medicineprotective road behaviorschildren0502 economics and businessInjury preventionHumans030212 general & internal medicineChildSocial Behavior050210 logistics & transportationInfants PsicologiaSchoolseducation in road safety05 social sciencesPerspective (graphical)Conducta (Psicologia)lcsh:RPublic Health Environmental and Occupational HealthAccidents TrafficHuman factors and ergonomicsRisk perceptionCross-Sectional StudiesPsicologiaSpainFemaleSafetyPsychologyroad safetyhuman activitiesrseInternational Journal of Environmental Research and Public Health
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