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Subjective evaluation of the frequency of coffee intake and relationship to osteoporosis in Chinese men.


ABSTRACT:

Background

The main purpose of this study was to evaluate the associations between frequency of coffee intake and osteoporosis (OP) in a general Chinese male sample.

Methods

We conducted a large-scale, community-based, cross-sectional study to investigate the associations by using a self-report questionnaire to estimate the frequency of coffee intake. A total of 992 men were available for data analysis in this study. Multiple regression models controlling for confounding factors to include frequency of coffee intake variable were performed to investigate the relationships for OP.

Results

Positive correlations between frequency of coffee intake and T-score were reported (β = 0.211, P = 0.024). Multiple regression analysis indicated that the frequency of coffee intake was significantly associated with OP (P < 0.05 for model 1 and model 2). The men with moderate frequency of coffee intake had a lower prevalence of OP.

Conclusions

The findings indicated that consumption of coffee was independently and significantly associated with OP. The prevalence of OP was less frequent in Chinese men with moderate coffee intake.

Trial registration

ClinicalTrials.gov, NCT02451397.

SUBMITTER: Yu Q 

PROVIDER: S-EPMC5026020 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Publications

Subjective evaluation of the frequency of coffee intake and relationship to osteoporosis in Chinese men.

Yu Qian Q   Liu Zhong-Hua ZH   Lei Tao T   Tang Zihui Z  

Journal of health, population, and nutrition 20160805 1


<h4>Background</h4>The main purpose of this study was to evaluate the associations between frequency of coffee intake and osteoporosis (OP) in a general Chinese male sample.<h4>Methods</h4>We conducted a large-scale, community-based, cross-sectional study to investigate the associations by using a self-report questionnaire to estimate the frequency of coffee intake. A total of 992 men were available for data analysis in this study. Multiple regression models controlling for confounding factors t  ...[more]

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