Search results for "Style"

showing 10 items of 1182 documents

Parenting in the face of serious illness: Childhood cancer survivors remember different rearing behavior than the general population

2019

Objective A child's cancer diagnosis and treatment affect the whole family. While it has been recognized that parents are an important resource for their children, little is known about the specifics of parenting in the face of serious illness. Methods We used the Recalled Parental Rearing Behavior Questionnaire in a register-based cohort of adult childhood cancer survivors (CCS) (N = 951) and a representative population sample of the same age range (N = 2042). The questionnaire assesses behavior of mothers and fathers with three scales (emotional warmth, rejection/punishment, and control/overprotection) by querying the (former) child. We compared the two groups using general linear models.…

AdultMalePunishment (psychology)PopulationVulnerabilityExperimental and Cognitive PsychologyDiseaseAffect (psychology)Developmental psychologyYoung Adult03 medical and health sciencesChild Rearing0302 clinical medicineCancer SurvivorsSurvivorship curveParenting stylesHumans030212 general & internal medicineParent-Child RelationsChildeducationeducation.field_of_studyParentingMiddle AgedPsychiatry and Mental healthAdult Survivors of Child Adverse EventsOncology030220 oncology & carcinogenesisCohortFemalePsychologyPsycho-Oncology
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Cardiorespiratory fitness and lifestyle on severe COVID-19 risk in 279,455 adults : a case control study

2021

Background The impact of cardiorespiratory fitness (CRF) and other lifestyle-related factors on severe COVID-19 risk is understudied. The present study aims to investigate lifestyle-related and socioeconomic factors as possible predictors of COVID-19, with special focus on CRF, and to further study whether these factors may attenuate obesity- and hypertension-related risks, as well as mediate associations between socioeconomic factors and severe COVID-19 risk. Methods Out of initially 407,131 participants who participated in nationwide occupational health service screening between 1992 and 2020, n = 857 cases (70% men, mean age 49.9 years) of severe COVID-19 were identified. CRF was estimat…

AdultMaleRC620-627SARS-CoV-2ResearchCOVID-19Public Health Global Health Social Medicine and EpidemiologyMiddle AgedVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850LifestyleFolkhälsovetenskap global hälsa socialmedicin och epidemiologiRisk FactorsSocioeconomicsCase-Control StudiesHumansSevere acute respiratory syndrome coronavirus 2FemaleObesityPublic aspects of medicineRA1-1270Cardiorespiratory fitnessNutritional diseases. Deficiency diseasesLife Style
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Is sense of coherence a predictor of lifestyle changes in subjects at risk for type 2 diabetes?

2015

Objective: To determine whether the sense of coherence (SOC) could predict the outcome of an 18-month lifestyle intervention program for subjects at risk of type 2 diabetes. Methods: Subjects at high risk of type 2 diabetes mellitus were recruited to a low-intensity lifestyle intervention program by their general practitioners. Weight reduction ≥5% and improvement in exercise capacity of ≥10% from baseline to follow-up indicated a clinically significant lifestyle change. SOC was measured using the 13-item SOC questionnaire. Results: The study involved 213 subjects with a mean body mass index of 37 (SD ± 6). Complete follow-up data were obtained for 131 (62%). Twenty-six participants had cli…

AdultMaleRiskQuality of lifemedicine.medical_specialtyType 2 diabetes:Midical sciences: 700::Health sciences: 800::Community medicine social medicine: 801 [VDP]:Medisinske fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 [VDP]Quality of lifeWeight lossBehavior TherapySurveys and QuestionnairesWeight LossType 2 diabetes mellitusMedicineHumansVDP::Medisinske fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801ObesityLife StyleVDP::Midical sciences: 700::Health sciences: 800::Community medicine social medicine: 801Exercise Tolerancebusiness.industryPreventionPublic Health Environmental and Occupational HealthType 2 Diabetes MellitusGeneral MedicineOdds ratioMiddle Agedmedicine.diseaseLifestyleObesityConfidence intervalTreatment OutcomeDiabetes Mellitus Type 2Sense of coherencePhysical therapyFemalesense organsmedicine.symptombusinessBody mass indexFollow-Up StudiesPublic Health
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Liking for fat is associated with sociodemographic, psychological, lifestyle and health characteristics

2014

Sensory liking influences dietary behaviour, but little is known about specifically associated individual profiles. The aim of the present study was to investigate the associations between liking for fat-and-salt and fat-and-sweet sensations and sociodemographic, economic, psychological, lifestyle and health characteristics in a large sample. Individual characteristics and liking scores were collected by a questionnaire among 37 181 French adults. Liking scores were constructed using a validated preference questionnaire. Multinomial logistic regression models were used to assess the associations between liking levels and individual characteristics. In both sexes, subjects belonging to low-l…

AdultMaleRisklikingAdolescent[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionhabitude alimentairesociodemographic factorsMedicine (miscellaneous)enquêteHyperphagiapsychological factorsBody Mass IndexCohort StudiesFood PreferencesYoung AdultSurveys and Questionnaires[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyfatSensationHumansObesitysantéLife StyleAgedMultinomial logistic regressionAged 80 and overInternetNutrition and DieteticssociologieCognitionMiddle AgedDietary FatssociodémographiePreferenceLarge sampleobésitéSocioeconomic FactorsFemaleObese subjectsFrancedietary determinantsPsychology[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyFollow-Up StudiesClinical psychology
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Clustering of Lifestyle Risk Factors in Acute Coronary Syndrome: Prevalence and Change after the First Event

2018

Background: Healthy lifestyles are modifiable risk factors for acute coronary syndrome (ACS) onset and recurrence. While unhealthy lifestyles tend to cluster together within the general healthy population, little is known about the prevalence and clustering of these behaviours in people with ACS before and after the first acute event. The aim of this study was to identify lifestyle profiles of patients with ACS and to explore their change after their first coronary event. Methods: Three hundred and fifty-six patients completed self-report measures of healthy habits at the beginning of cardiac rehabilitation and 6 months later. By adopting a person-oriented approach, we analysed lifestyle cl…

AdultMaleSettore M-PSI/01 - Psicologia GeneraleChange over timeGerontologyAcute coronary syndromemedicine.medical_treatmentPsychological interventionacute coronary syndrome; behavioural change; healthy lifestyle; multiple risk factors; typological approach;acute coronary syndrometypological approach03 medical and health sciences0302 clinical medicineRisk Factorshealthy lifestylePrevalencemedicineHumansLongitudinal Studies030212 general & internal medicineCluster analysisGroup stabilityLife StyleApplied PsychologyDepression (differential diagnoses)Agedmultiple risk factorsCardiac Rehabilitation030505 public healthRehabilitationmultiple risk factorMiddle Agedmedicine.diseaseCross-Sectional Studiesbehavioural changeAnxietyFemalemedicine.symptom0305 other medical sciencePsychology
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Determinants of bronchial hyperresponsiveness in subjects with rhinitis.

2005

Subjects with rhinitis but without asthma may have coexisting bronchial hyperresponsiveness, although the reasons for this are uncertain. To evaluate the factors that determine BHR in rhinitis we examined 410 patients with symptomatic rhinitis with forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) ≥ 80% of the predicted value. In all subjects a skin prick test (SPT) was performed, a determination of total serum IgE and an eosinophils count in the blood. Of the 410 subjects we found that 161 (39.3%) exhibited a methacholine PD20 of 800 mg or less (Group A), whereas 249 (60.7%) had a methacholine PD20 more of 800 mg (Group B). Despite the matched mean values for FEV…

AdultMaleVital capacitymedicine.medical_specialtyImmunologyVital CapacityGastroenterologyGroup B03 medical and health sciencesFEV1/FVC ratioLeukocyte Count0302 clinical medicineInternal medicineForced Expiratory VolumemedicineImmunology and AllergyHumansLife StyleBRONCHIAL HYPERRESPONSIVENESS; RHINITISAsthmaRhinitisSkin TestsPharmacologybusiness.industryRhinitis Allergic SeasonalPassive smokeImmunoglobulin Emedicine.diseaseRespiratory Function TestsEosinophilsBronchial hyperresponsivenessSpirometry030220 oncology & carcinogenesisBRONCHIAL HYPERRESPONSIVENESSMethacholineFemaleGeometric meanBronchial Hyperreactivitybusiness030215 immunologymedicine.drug
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Warm and Supportive Parenting Can Discourage Offspring’s Civic Engagement in the Transition to Adulthood

2016

It is widely believed that warm and supportive parenting fosters all kinds of prosocial behaviors in the offspring, including civic engagement. However, accumulating international evidence suggests that the effects of family support on civic engagement may sometimes be negative. To address this apparent controversy, we identified several scenarios for the negative effects of supportive parenting on youth civic engagement and tested them using four waves of data from the Finnish Educational Transitions Studies. They followed 1549 students (55 % female) from late adolescence into young adulthood, included both maternal (n = 231) and offspring reports of parental support, and assessed civic en…

AdultMaleVolunteersAdolescentSocial Psychologycivic engagementFamily supportPsychology AdolescentPoison control050109 social psychologyparental supportEducationDevelopmental psychologyYoung AdultDevelopmental and Educational PsychologyParenting stylesHumansCivic engagement0501 psychology and cognitive sciencesLongitudinal Studiespolitical activismParent-Child RelationsYoung adultSocioeconomic statusFinlandpositive youth developmentParentingparenting styles05 social sciencesSocial Supportyouth volunteeringAdolescent Development16. Peace & justicehumanitiesProsocial behaviorAdolescent BehaviorPolitical ActivismFemalePsychologyPositive Youth DevelopmentSocial Sciences (miscellaneous)parental warmth050104 developmental & child psychologyJournal of Youth and Adolescence
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The different daily distribution of proteins does not influence the variations in body composition in a sample of subjects undergoing a low-calorie m…

2021

BACKGROUND Controversy exists regarding whether the different daily balances of proteins between meals and snacks in a low-calorie diet may influence the effects on body composition (BC) results. Aim of this study is to evaluate BC changes made by a lifestyle intervention in a randomized homogeneous sample of two groups with equal daily caloric reduction but different protein distributions between meals. METHODS Forty-seven men and women (mean age: 32±10 years; Body Mass Index: 28.4±2.4 kg/m2) consumed an energy-restricted diet (788 kcal/d below the requirement) for eight weeks in a free-living contest. Subjects consumed 90.1 g protein/d (1.10±0.16 g/kg/day) and were randomized in an EVEN (…

AdultMaleWeight lossEndocrinology Diabetes and MetabolismOverweightBody compositionSettore MED/49Young AdultAnimal scienceSettore MED/13Weight reduction programsLifestyle interventionInternal MedicineHumansMedicineMealsCaloric RestrictionReducing dietbusiness.industrydigestive oral and skin physiologyGastroenterologyProteinsLow calorieMean ageDietDistribution patternLean body massFemaleComposition (visual arts)medicine.symptomEnergy IntakebusinessBody mass index
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Does organized sport participation during youth predict healthy habits in adulthood? A 28-year longitudinal study

2018

Health behaviors in youth can predict the same behaviors later in life, but the role of sport participation in predicting healthy lifestyle habits is unclear. This study aimed to investigate the association between participation in organized youth sport and adult healthy lifestyle habits. Data from the longitudinal Cardiovascular Risk in Young Finns Study (YFS) with a 28-year follow-up were used. The participation in sport-club training sessions was self-reported by 9-18-year-olds in 1983 and 1986 (n = 1285). During 2011, participants (aged 37-43-year old) reported their smoking status, alcohol consumption, fruit and vegetable consumption, and physical activity. Odd ratios (OR) were calcula…

AdultMaleelintavatLongitudinal studylongitudinalAdolescentAlcohol DrinkingHealth BehaviorPhysical activityphysical activityPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusLogistic regressionOddsHabitsYoung Adult03 medical and health sciences0302 clinical medicineHumansOrthopedics and Sports MedicineHealthy LifestyleLongitudinal Studies030212 general & internal medicineliikuntaharrastusta315ChildFinlandConsumption (economics)youthSmokingYouth Sportsta3142030229 sport sciencesDiethealth behaviorsaikuisuusLogistic ModelsterveyskäyttäytyminennuoruusFemaleSmoking statusSelf ReportsportLifestyle habitsPsychologyAlcohol consumptionfyysinen aktiivisuusDemographyScandinavian Journal of Medicine & Science in Sports
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Epidemiology and risk factors in osteoarthritis: literature review data from “OASIS” study

2004

Ostheoarthritis (OA) is a social disease characterized by pain, inflammation and stiffness due to an involvement of articular cartilage, soft tissues and bone.OA is the most common rheumatic disease, every age can be affected but prevalence increases dramatically with age with a greater incidence in subjects between 40 and 50 years of age. Hip OA has an important correlation with weight, genetic factors, sex, previous traumas, occupational factors and age. People older than 35 have a prevalence of Hip OA of 10,8% that becomes 35,4% in people older than 85. Knee OA has a great correlation with weight ,life style and physical activity. An Italian study has demonstrated that the prevalence of …

AdultMalelcsh:Internal medicinemedicine.medical_specialtyostheoarthritiPhysical activitylcsh:MedicineArticular cartilageComorbidityOsteoarthritisDiseaseMotor ActivityRheumatologyRisk FactorsInternal medicineOsteoarthritisEpidemiologyPrevalenceHumansMedicineCyclooxygenase InhibitorsObesitylcsh:RC31-1245Life StyleAgedAged 80 and overOASISbusiness.industryIncidenceIncidence (epidemiology)lcsh:RAnti-Inflammatory Agents Non-SteroidalRheumatic diseaseMiddle Agedmedicine.diseaseHealth SurveysComorbidityOccupational DiseasesItalyPhysical therapyFemalebusinessSportsReumatismo
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