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Dietary patterns and sarcopenia in older adults: a cross-sectional study / 中华健康管理学杂志
Chinese Journal of Health Management ; (6): 290-298, 2021.
Article in Chinese | WPRIM | ID: wpr-910842
ABSTRACT

Objective:

Investigate the relationship between dietary patterns and sarcopenia in a Chinese elderly population.

Methods:

Participants in this cross-sectional study were recruited from the Tianjin Chronic Low-grade Systemic Inflammation and Health Cohort Study. The study population comprised 2 423 participants, with mean age of (67.6±5.2) years. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia. Three dietary patterns were derived by factor

analysis:

fruit and sweet pattern, traditional oriental pattern, and animal food pattern. The association between quartile categories of dietary pattern scores and the presence of sarcopenia was analyzed using multiple logistic regression models. Odds ratios ( OR) and 95% confidence interval ( CI) were calculated.

Results:

The prevalence of sarcopenia was 16.1%. After adjusting for confounding factors, compared with the lowest quartile, the adjusted OR ( 95%CI) of sarcopenia for the highest quintile of Fruit and sweet pattern score, Traditional oriental pattern score and Animal food pattern score were 1.06 (0.74, 1.50), 0.54 (0.34, 0.86), and 0.50 (0.33, 0.74), ( P for trend were 0.87,<0.01, and<0.001), respectively.

Conclusions:

The current study found that the traditional oriental pattern and animal food pattern has a protective relation for sarcopenia in elderly adults, which suggests its potential to attenuate or prevent the progression of sarcopenia.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prevalence study / Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Health Management Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prevalence study / Prognostic study / Risk factors Language: Chinese Journal: Chinese Journal of Health Management Year: 2021 Type: Article