title: Physical activity in the context of clustering patterns of health-promoting behaviors.
abstract: OBJECTIVE
  To describe differences in physical activity in the context of clustering patterns of health-promoting behaviors.
  
  
  METHODS
  A cross-sectional study with 1724 participants (response rate, 91.1%).
  
  
  METHODS
  Tadami Town, in a rural area of Fukushima Prefecture, Japan.
  
  
  METHODS
  Part of the general population who participated in annual health checkups (age range, 30-93 years).
  
  
  METHODS
  The Health-Promoting Lifestyle Profile II was used to assess frequency of health-promoting behaviors (physical activity, health responsibility, spiritual growth, interpersonal relationships, nutrition, and stress management). Smoking status, alcohol consumption, and disease status were self-reported. Public health nurses measured the weight and height of participants.
  
  
  METHODS
  Cluster analysis was conducted to identify clustering patterns of health-promoting behaviors other than physical activity. Differences in physical activity between identified clusters were examined by multiple logistic regression analysis.
  
  
  RESULTS
  Four clusters were identified and labeled as "Most challenged" (20.4%), "Adherence to norms" (30.3%), "Well in mentality" (20.9%), and "Health-promoting" (28.4%). "Health-promoting" was the most physically active cluster, followed by "Adherence to norms" and "Well in mentality."
  
  
  CONCLUSIONS
  Although the survey methodology was subject to selection, self-report, and recall biases, we have described physical activity in the context of clustering patterns of health-promoting behaviors. Laying the groundwork for physical activity in the lifestyle is important for establishing health-promotion strategies to increase physical activity.
authors: Department of Hygiene & Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima, Japan. usuboi@fmu.ac.jp
authors: Satoshi
authors: S
authors: Tsuboi
authors: Takehito
authors: T
authors: Hayakawa
authors: Hideyuki
authors: H
authors: Kanda
authors: Tetsuhito
authors: T
authors: Fukushima
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015992:Body Mass Index; D016000:Cluster Analysis; D003376:Counseling; D003430:Cross-Sectional Studies; D015444:Exercise; D005260:Female; D015438:Health Behavior; D006293:Health Promotion / Q000379:methods*; D006304:Health Status; D006801:Humans; D007398:Interpersonal Relations; D007564:Japan; D008019:Life Style; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance; D012424:Rural Population / Q000706:statistics & numerical data