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000153364 041__ $$aEnglish
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000153364 1001_ $$0P:(DE-HGF)0$$aHajek, André$$b0$$eCorresponding author
000153364 245__ $$aPrevalence and factors associated with obesity among the oldest old.
000153364 260__ $$aAmsterdam [u.a.]$$bElsevier Science3284$$c2020
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000153364 520__ $$aTo determine the prevalence of overweight and obesity, and to identify factors associated with obesity, among the oldest old.For this study, data from follow-up (FU) wave 7 and FU wave 8 of the 'Study on Needs, Health Service Use, Costs and Health-Related Quality of Life in a Large Sample of Oldest-Old Primary Care Patients (85+)' (AgeQualiDe) were used. At FU wave 7, the mean age was 88.9 years (SD: 2.9; 85-100 years). Body-mass-index (BMI) categories were defined according to the World Health Organization (WHO) thresholds: underweight (BMI < 18.5 kg/m²), normal weight (18.5 kg/m² ≤ BMI < 25 kg/m²), overweight (25 kg/m² ≤ BMI < 30 kg/m²), and obesity (BMI ≥ 30 kg/m²). Longitudinal regression analysis was used to determine factors associated with obesity.At FU wave 7, 3.0 % were underweight, 48.9 % were normal weight, 37.9 % were overweight, and 10.2 % were obese. Regressions showed that the probability of obesity decreased with age (OR: 0.77 [95 % CI: .593-.999]) and less chronic conditions (OR: 1.32 [95 % CI: 1.11-1.57]). The probability of obesity was not associated with sex, educational level, marital status, social isolation, visual impairment, hearing impairment, depression, and dementia.Nearly half of the individuals in very late life had excess weight. Thus, excess weight remains a major challenge, even in very old age. Given the demographic ageing in upcoming decades, this is an issue which we should be aware of.
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000153364 650_2 $$2MeSH$$aAged, 80 and over
000153364 650_2 $$2MeSH$$aBody Mass Index
000153364 650_2 $$2MeSH$$aHumans
000153364 650_2 $$2MeSH$$aObesity: epidemiology
000153364 650_2 $$2MeSH$$aOverweight: epidemiology
000153364 650_2 $$2MeSH$$aPrevalence
000153364 650_2 $$2MeSH$$aQuality of Life
000153364 650_2 $$2MeSH$$aThinness: epidemiology
000153364 7001_ $$aBrettschneider, Christian$$b1
000153364 7001_ $$avan der Leeden, Carolin$$b2
000153364 7001_ $$aLühmann, Dagmar$$b3
000153364 7001_ $$aOey, Anke$$b4
000153364 7001_ $$aWiese, Birgitt$$b5
000153364 7001_ $$aWeyerer, Siegfried$$b6
000153364 7001_ $$aWerle, Jochen$$b7
000153364 7001_ $$aFuchs, Angela$$b8
000153364 7001_ $$aPentzek, Michael$$b9
000153364 7001_ $$aRöhr, Susanne$$b10
000153364 7001_ $$aLöbner, Margrit$$b11
000153364 7001_ $$aMösch, Edelgard$$b12
000153364 7001_ $$aBickel, Horst$$b13
000153364 7001_ $$0P:(DE-HGF)0$$aHeser, Kathrin$$b14
000153364 7001_ $$0P:(DE-2719)2000057$$aWagner, Michael$$b15$$udzne
000153364 7001_ $$aScherer, Martin$$b16
000153364 7001_ $$0P:(DE-2719)2000015$$aMaier, Wolfgang$$b17$$udzne
000153364 7001_ $$aRiedel-Heller, Steffi G$$b18
000153364 7001_ $$aKönig, Hans-Helmut$$b19
000153364 773__ $$0PERI:(DE-600)2024857-X$$a10.1016/j.archger.2020.104069$$gVol. 89, p. 104069 -$$p104069$$tArchives of gerontology and geriatrics$$v89$$x0167-4943$$y2020
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