title: Habitual physical activity is a meaningful predictor of well-being in mid-life women: a longitudinal analysis.
abstract: OBJECTIVE
  To examine whether physical-activity patterns over a period of 4 years are associated with well-being.
  
  
  METHODS
  A sample of 399 women aged 50-60 years participated in the study. Measures included rate of physical activity and other life style behaviors, well-being, health status, and interpersonal stress. Sufficient and insufficient exercisers were identified, and the association of this dichotomy with well-being, along with the contribution of the other variables, was examined.
  
  
  RESULTS
  The distribution of physical-activity patterns remained stable over the 4 years of the study, with 40% of the women exercising leisurely and 15-20% exercising vigorously four to seven times a week. Approximately 50% of the women were considered sufficiently active in terms of public recommendations. Random effects regression analysis revealed that sufficient exercise along with a low frequency of daily hassles, relatively few menopausal symptoms, and a low level of interpersonal stress significantly contributed to the variability of well-being.
  
  
  CONCLUSIONS
  These data evoke the need for a better understanding of exercise behavior and its promising potential contribution to the well-being of middle-aged women.
authors.affiliation: Behavioral Sciences, Zinman College of Physical Education and Sport Sciences, Wingate Institute, Israel.
authors.forename: Y
authors.initials: Y
authors.lastname: Netz
authors.forename: S
authors.initials: S
authors.lastname: Zach
authors.forename: J R
authors.initials: JR
authors.lastname: Taffe
authors.forename: J
authors.initials: J
authors.lastname: Guthrie
authors.forename: L
authors.initials: L
authors.lastname: Dennerstein
mesh_terms: D001315:Australia / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D015438:Health Behavior; D006801:Humans; D008137:Longitudinal Studies; D008875:Middle Aged; D009043:Motor Activity; D011788:Quality of Life; D012044:Regression Analysis; D013315:Stress, Psychological / Q000517:prevention & control