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1.
Arch Gerontol Geriatr ; 78: 23-29, 2018.
Article in English | MEDLINE | ID: mdl-29883806

ABSTRACT

OBJECTIVES: To examine if family ties are strong predictors of functional limitation in older adults in Europe. METHODS: Cross sectional data were used and included 14 European countries from the second wave (w2) of the survey on Health, Ageing, and Retirement in Europe. 13,974 adults aged 50+ (45.2% males and 54.8%females) were included in the study. Functional limitation was assessed using activities of daily living (ADL), instrumental activities of daily living (i-ADL) and mobility sensory index. Family ties were based on a customized model of family structural aspects. Multiple logistic regression analyses were used to examine the risk of functional limitations. RESULTS: Functional limitation was associated with females, age, self-rated health, and an increased number of chronic conditions, disease symptoms and depressive symptoms but not with few family ties. After controlling for potential confounders, respondents with lower family contacts showed higher risk for functional limitation. Southern and Mediterranean countries have both closer family ties and adults with higher functional limitation. CONCLUSION: Functional limitation is associated with biological and demographic factors as well as little contact with family members. Further longitudinal research is required in order to determine the association and the causal relationship between functional limitation and family ties.


Subject(s)
Activities of Daily Living , Aging , Family , Retirement , Aged , Aged, 80 and over , Cross-Sectional Studies , Europe , Female , Humans , Male , Middle Aged , Surveys and Questionnaires
2.
Prev Chronic Dis ; 12: E149, 2015 Sep 17.
Article in English | MEDLINE | ID: mdl-26378895

ABSTRACT

INTRODUCTION: Noncommunicable diseases are the leading cause of illness and death worldwide; behavioral risk factors (BRFs) contribute to these diseases. We assessed the presence of multiple BRFs among European adults according to their physical and mental health status. METHODS: We used data from 26,026 adults aged 50 years or older from 11 countries that participated in the Survey of Health, Ageing and Retirement in Europe (2004-2005). BRFs (overweight or obesity, smoking, physical inactivity, and risky alcohol consumption) were assessed according to physical health (ie, presence of chronic diseases, disease symptoms, or limitations in activities of daily living) and mental health (depression) through multiple regression estimations. RESULTS: Overweight or obesity in men and physical inactivity in women were the most prevalent BRFs. Compared with physically active adults, physically inactive adults had a higher mean number of chronic diseases (1.33 vs 1.26) and chronic disease symptoms (1.55 vs 1.47). Risky alcohol consumption (≥4 servings of an alcohol beverage ≥3 times a week) was associated with a higher mean depression score (2.84 vs 2.47). Compared with adults with 0 or 1 BRF, adults with 2 or more BRFs had significantly higher odds of having 1 or more chronic diseases (men: 1.52; women: 1.73) and functional limitations (men: 1.65; women: 1.79) and higher prevalence of high blood pressure (37.8% vs 28.2). Belgian adults with BRFs had the highest mean number of chronic diseases or functional limitations among those who were overweight or obese and the highest mean number of chronic diseases and disease symptoms among those who smoked and were physically inactive. CONCLUSION: We found revealed significant positive associations between BRFs and poor health among middle-aged and older European adults. Primary health care intervention programs should focus on developing ways to reduce BRF prevalence in this population.


Subject(s)
Activities of Daily Living/psychology , Chronic Disease/psychology , Depressive Disorder/psychology , Health Behavior , Health Status Indicators , Aged , Aging/physiology , Chronic Disease/epidemiology , Cross-Sectional Studies , Depressive Disorder/epidemiology , Educational Status , Europe/epidemiology , Female , Health Surveys , Humans , Male , Middle Aged , Obesity/epidemiology , Overweight/epidemiology , Regression Analysis , Residence Characteristics , Retirement , Risk Factors , Self Report , Sex Factors , Socioeconomic Factors , Surveys and Questionnaires , World Health Organization
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