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Associations between dietary patterns and physical fitness among Chinese elderly

  • Yan Lyu (a1), Xiao Yu (a1), Huacai Yuan (a2), Xiangren Yi (a3), Xiaosheng Dong (a3), Meng Ding (a4), Xinying Lin (a1) and Baozhen Wang (a1)...

Abstract

Objective:

To explore the relationship between dietary patterns and physical fitness among older Chinese (≥60 years) individuals.

Design:

Cross-sectional survey. Dietary data were collected by a simplified semi-quantitative FFQ. The 30-s Chair Stand test (30sCST), 30-s Arm Curl test (30sACT), 8-foot Time Up-and-Go test (8fTUAGT) and 6-min Walking test (6mWT) were used to assess physical fitness. Dietary patterns were obtained by factor analysis. The association between dietary patterns and physical fitness was explored by multiple logistic regression.

Setting:

Six communities (villages) of three districts in Liaocheng City (Shandong Province, China).

Participants:

A total of 596 residents were recruited from April to May 2017.

Results:

Among 556 residents who were finally enrolled, 196 were men (35 %) and 360 were women (65 %). Three dietary patterns were identified: ‘Western’, ‘Vegetarian’ and ‘Modern’. The 30sACT revealed that men in the fourth quartile of the Western pattern were less likely to be classified in the ‘high-level’ group, but men in the fourth quartile of the Vegetarian pattern were classified in the high-level group. The 6mWT revealed that men in the fourth quartile of the Modern pattern were classified in the high-level group. These associations were independent of confounding factors.

Conclusions:

Adherence to the Vegetarian pattern and Modern pattern may be protective factors for maintaining good physical fitness in older Chinese individuals. The Western pattern may lead to poor physical fitness in this population.

Copyright

Corresponding author

*Corresponding authors: Emails bzhenw@sdu.edu.cn, xy00819@163.com

References

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Associations between dietary patterns and physical fitness among Chinese elderly

  • Yan Lyu (a1), Xiao Yu (a1), Huacai Yuan (a2), Xiangren Yi (a3), Xiaosheng Dong (a3), Meng Ding (a4), Xinying Lin (a1) and Baozhen Wang (a1)...

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