Associations between dietary patterns, physical activity (leisure-time and occupational) and television viewing in middle-aged French adults
Associations between dietary patterns, physical activity (leisure-time and occupational) and television viewing in middle-aged French adults
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DOI：
10.1017/s000711451000440x
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发表时间：
2011-03-28
影响因子：
3.6
通讯作者：
Oppert, Jean-Michel
中科院分区：
文献类型：
--
作者：
Charreire, Helene;Kesse-Guyot, Emmanuelle;Oppert, Jean-Michel
饮食和身体活动被认为是健康生活方式的主要组成部分。然而，很少有研究详细研究成人特定类型的身体活动、久坐行为和饮食之间的关系。本研究的目的是评估法国中年受试者的饮食模式、闲暇时间和职业体力活动以及看电视时间之间的差异关系（作为久坐行为的指标）。我们使用补充维生素和矿物质抗氧化剂研究中 1359 名参与者的数据进行了横断面分析，这些参与者完成了详细的体力活动调查问卷和至少六份 24 小时饮食记录。使用因子分析得出特定性别的饮食模式；在调整年龄、教育水平和吸烟状况后，使用ANCOVA评估了他们与休闲时间、职业体育活动和电视观看的关系。每个性别都确定了三种饮食模式。调整潜在的混杂因素后，休闲时间的体力活动与男性（趋势 P < 0.01）和女性（趋势 P < 0.03）的“健康”饮食模式呈正相关，与男性的“酒精/肉类”模式呈负相关（趋势 P < 0.01）。观看电视与男性的“方便”模式和女性的“酒精开胃”模式呈正相关。总之，识别饮食模式、体力活动和久坐行为之间的关系可以识别不同类型的生活方式，并有助于针对营养预防计划中的高危人群。
Diet and physical activity are considered to be major components of a healthy lifestyle. However, few studies have examined in detail the relationships between specific types of physical activity, sedentary behaviour and diet in adults. The objective of the present study was to assess differential relationships between dietary patterns, leisure-time and occupational physical activities and time spent watching television (TV), as an indicator of sedentary behaviour, in middle-aged French subjects. We performed a cross-sectional analysis using data from 1359 participants in the SUpplementation en VItamines et Mineraux AntioXydants study, who completed a detailed physical activity questionnaire and at least six 24 h dietary records. Sex-specific dietary patterns were derived using factor analysis; their relationships with leisure-time and occupational physical activities and TV viewing were assessed using ANCOVA, after adjustment for age, educational level and smoking status. Three dietary patterns were identified in each sex. After adjustment for potential confounders, leisure-time physical activity was positively associated with a 'healthy' food pattern in both men (P for trend < 0.01) and women (P for trend, < 0.03) and negatively associated with an 'alcohol/meat' pattern in men (P for trend < 0.01). TV viewing was positively associated with a 'convenience' pattern in men and with a 'alcohol-appetiser' pattern in women. In conclusion, identification of relationships between dietary patterns, physical activity and sedentary behaviour can enable identification of different types of lifestyle and should help to target at-risk groups in nutrition prevention programmes.