Department of Hygiene & Preventive Medicine, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Am J Health Promot. 2011 Jul-Aug;25(6):410-6. doi: 10.4278/ajhp.090720-QUAN-232.
To describe differences in physical activity in the context of clustering patterns of health-promoting behaviors.
A cross-sectional study with 1724 participants (response rate, 91.1%).
Tadami Town, in a rural area of Fukushima Prefecture, Japan.
Part of the general population who participated in annual health checkups (age range, 30-93 years).
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.
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.
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."
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.
描述在健康促进行为聚类模式背景下的身体活动差异。
一项横断面研究，共有 1724 名参与者（应答率 91.1%）。
日本福岛县农村地区的玉置町。
参加年度健康检查的部分一般人群（年龄范围为 30-93 岁）。
使用健康促进生活方式量表 II 评估健康促进行为（身体活动、健康责任、精神成长、人际关系、营养和压力管理）的频率。吸烟状况、饮酒情况和疾病状况均为自我报告。公共卫生护士测量参与者的体重和身高。
进行聚类分析以确定除身体活动以外的健康促进行为聚类模式。通过多因素逻辑回归分析检查确定的聚类之间身体活动的差异。
确定了四个聚类，并分别标记为“最具挑战性”（20.4%）、“遵守规范”（30.3%）、“心理健康”（20.9%）和“促进健康”（28.4%）。“促进健康”是最活跃的群体，其次是“遵守规范”和“心理健康”。
尽管调查方法存在选择、自我报告和回忆偏倚，但我们已经描述了在健康促进行为聚类模式背景下的身体活动。为生活方式中的身体活动奠定基础对于制定增加身体活动的健康促进策略很重要。
