(09-02-11) Associations between dietary patterns, physical activity (leisure-time and occupational) and television viewing in middle-aged Frenc

Associations between dietary patterns, physical activity (leisure-time and occupational) and television viewing in middle-aged French adults.

Charreire H, Kesse-Guyot E, Bertrais S, Simon C, Chaix B, Weber C, Touvier M,
Galan P, Hercberg S, Oppert JM.
INSERM U557, INRA U1125, CNAM, EA 3200, CRNH IdF, University Paris 13, 93017
Bobigny, France.

Abstract
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 SUppl?mentation en
VItamines et Min?raux 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.
Source: Br J Nutr. 2011 Jan 21:1-8. [Epub ahead of print]

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