Correlates of quality of life of pre-obese and obese patients: a pharmacy-based cross-sectional survey

BMC Public Health. 2009 Sep 15:9:337. doi: 10.1186/1471-2458-9-337.

Abstract

Background: The correlates of quality of life (QOL), as measured by the OSQOL questionnaire were investigated in a convenience sample of overweight patients recruited in pharmacies.

Methods: A convenience sample of patients with a Body Mass Index > or = 28 kg/m(2) were recruited in community-based pharmacies. Baseline characteristics and QOL dimensions (1-Physical state, 2-Vitality-desire to do things, 3-Relations with others, 4-Psychological state) were reported in self-completed questionnaires from which the risk of obtaining a low QOL was assessed for each dimension.

Results: QOL was inadequate for all dimensions in the 494 patients included in the study (median age = 61, 48% women, 21% professional persons/top executives). Older pre-obese and obese patients were more likely to report impaired physical functioning (OR = 2.02, 95%CI = [1.10-3.70]), but were less severely affected socially (OR = 0.32, 95%CI = [0.15-0.69]). Pre-obese and obese professional persons and top executives showed better physical capabilities (OR = 0.35, 95%CI = [0.15-0.81]) and increased vitality (OR = 0.47, 95%CI = [0.23-0.95]). Overall, men's psychological state was better than females' (OR = 0.46, 95%CI = [0.25-0.82]). A body-mass index > or = 35 kg/m(2) was significantly associated with poorer QOL scores on physical, relational and psychological dimensions.

Conclusion: Our data highlighted the influence of the severity of excess weight, gender, age and socioeconomic status on QOL. These factors should be taken into account when interpreting QOL in pre-obese and obese persons.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Attitude to Health
  • Body Mass Index
  • Causality
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • France / epidemiology
  • Humans
  • Life Style*
  • Male
  • Middle Aged
  • Obesity / diagnosis
  • Obesity / epidemiology*
  • Pharmacies / statistics & numerical data
  • Quality of Life / psychology*
  • Social Class
  • Surveys and Questionnaires