UREN INSERM U557/INRA U1125/Cnam/Paris13 University, CRNH Ile-de-France, Bobigny, France.
Int J Obes (Lond). 2010 Aug;34(8):1293-301. doi: 10.1038/ijo.2010.39. Epub 2010 Mar 2.
To identify leisure-time physical activity (LTPA) and sedentary behavior patterns, as well as to investigate their relationships with overweight.
Cross-sectional study.
Men (n=2206) and women (n=2476) aged >45 years, living in France, enrolled in the SU.VI.MAX (Supplémentation en VItamines et Minéraux AntioXydants) study.
LTPA and sedentary behavior were assessed using the Modifiable Activity Questionnaire whereas weight and height were measured from study participants. Clusters were defined, by gender, with multiple correspondence analysis and cluster analysis successively, taking into account the type (walking, gardening, etc.) and duration of each physical activity performed, as well as the time spent watching television (TV) as typical sedentary behavior. Logistic regression models were used to assess associations with overweight.
Four physical activity and sedentary behavior clusters were identified among men and three among women. We chose as referent cluster the cluster associating 'walking and gardening-low TV' in men and the cluster associating 'walking and gardening-high TV' in women. Compared with the referent cluster and after adjustment for age, education level, smoking status and place of residence, the likelihood of overweight (defined as body mass index >or=25 kg m(-2)) in women was lower for a 'multiple activity-low TV' cluster (odds ratio (OR)=0.66, 95% confidence interval=0.54-0.81) and for a cluster associating 'endurance physical activity-low TV' (OR=0.42 (0.29-0.60)). Compared with the referent cluster and after adjustment, the likelihood of overweight in men was decreased for the 'endurance physical activity' cluster (OR=0.66, (0.52-0.84)), whereas no significant association was found with the other clusters.
Patterns combining specific types of physical activity and sedentary behavior were identified and differed in their relations to overweight in adults. The identification of global patterns of activity allows us to go beyond a simple decreased activity-increased body weight approach and adds to our understanding of the associations of specific forms and grouping of activity with overweight in adults.
确定休闲时间体力活动（LTPA）和久坐行为模式，并研究它们与超重的关系。
横断面研究。
年龄>45 岁、居住在法国的男性（n=2206）和女性（n=2476），参加了 SU.VI.MAX（补充维生素和抗氧化剂）研究。
使用可修改活动问卷评估 LTPA 和久坐行为，而体重和身高则由研究参与者测量。通过多元对应分析和聚类分析，按性别定义聚类，同时考虑每种体力活动的类型（散步、园艺等）和持续时间，以及作为典型久坐行为的看电视（电视）时间。使用逻辑回归模型评估与超重的关联。
在男性中确定了四个体力活动和久坐行为聚类，在女性中确定了三个。我们选择将与男性“散步和园艺-低电视”相关联的聚类和与女性“散步和园艺-高电视”相关联的聚类作为参照聚类。与参照聚类相比，并在调整年龄、教育水平、吸烟状况和居住地后，女性中超重（定义为体重指数>或=25kg/m(-2)）的可能性较低，对于“多种活动-低电视”聚类（比值比（OR）=0.66，95%置信区间=0.54-0.81）和与“耐力体力活动-低电视”相关联的聚类（OR=0.42（0.29-0.60））。与参照聚类相比，并在调整后，男性中超重的可能性降低，与“耐力体力活动”聚类（OR=0.66，（0.52-0.84））相关，而与其他聚类无显著关联。
确定了结合特定类型体力活动和久坐行为的模式，并且它们与成年人超重的关系不同。对活动总体模式的识别使我们能够超越简单的活动减少-体重增加的方法，并增加了我们对特定形式和活动分组与成年人超重的关联的理解。
