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Prevalence and factors associated with obesity among the oldest old.
Hajek, André; Brettschneider, Christian; van der Leeden, Carolin; Lühmann, Dagmar; Oey, Anke; Wiese, Birgitt; Weyerer, Siegfried; Werle, Jochen; Fuchs, Angela; Pentzek, Michael; Röhr, Susanne; Löbner, Margrit; Mösch, Edelgard; Bickel, Horst; Heser, Kathrin; Wagner, Michael; Scherer, Martin; Maier, Wolfgang; Riedel-Heller, Steffi G; König, Hans-Helmut.
Afiliação
  • Hajek A; Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany. Electronic address: a.hajek@uke.de.
  • Brettschneider C; Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany.
  • van der Leeden C; Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany.
  • Lühmann D; Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany.
  • Oey A; Institute of General Practice, Hannover Medical School, Germany.
  • Wiese B; Institute of General Practice, Hannover Medical School, Germany.
  • Weyerer S; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
  • Werle J; Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
  • Fuchs A; Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany.
  • Pentzek M; Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany.
  • Röhr S; Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany.
  • Löbner M; Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany; Leipzig University Medical Center, IFB AdiposityDiseases, Leipzig, Germany.
  • Mösch E; Department of Psychiatry, Technical University of Munich, Germany.
  • Bickel H; Department of Psychiatry, Technical University of Munich, Germany.
  • Heser K; Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany.
  • Wagner M; Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Scherer M; Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany.
  • Maier W; Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Riedel-Heller SG; Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany.
  • König HH; Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany.
Arch Gerontol Geriatr ; 89: 104069, 2020.
Article em En | MEDLINE | ID: mdl-32413689
ABSTRACT

PURPOSE:

To determine the prevalence of overweight and obesity, and to identify factors associated with obesity, among the oldest old.

METHODS:

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.

RESULTS:

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.

CONCLUSION:

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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Sobrepeso / Obesidade Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Sobrepeso / Obesidade Idioma: En Ano de publicação: 2020 Tipo de documento: Article