Unknown

Dataset Information

0

A cross-sectional study for estimation of associations between education level and osteoporosis in a Chinese men sample.


ABSTRACT: The main aim of this study was to evaluate the association between education level and osteoporosis (OP) in general Chinese Men.We conducted a large-scale, community-based, cross-sectional study to investigate the association by using self-report questionnaire to assess education levels. The data of 1092 men were available for analysis in this study. Multiple regression models controlling for confounding factors to include education level were performed to explore the relationship between education level and OP.Positive correlations between education level and T-score of quantitative bone ultrasound (QUS-T score) were reported (??=?0.108, P value?

SUBMITTER: Yu CX 

PROVIDER: S-EPMC4673752 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

A cross-sectional study for estimation of associations between education level and osteoporosis in a Chinese men sample.

Yu Cai-Xia CX   Zhang Xiu-Zhen XZ   Zhang Keqin K   Tang Zihui Z  

BMC musculoskeletal disorders 20151209


<h4>Background</h4>The main aim of this study was to evaluate the association between education level and osteoporosis (OP) in general Chinese Men.<h4>Methods</h4>We conducted a large-scale, community-based, cross-sectional study to investigate the association by using self-report questionnaire to assess education levels. The data of 1092 men were available for analysis in this study. Multiple regression models controlling for confounding factors to include education level were performed to expl  ...[more]

Similar Datasets

| S-EPMC4723899 | biostudies-literature
| S-EPMC5395797 | biostudies-literature
| S-EPMC4891848 | biostudies-literature
| S-EPMC8620023 | biostudies-literature
| S-EPMC5855175 | biostudies-literature
| S-EPMC3686814 | biostudies-literature
2017-09-08 | GSE74117 | GEO
2017-06-10 | GSE74116 | GEO
2024-09-17 | GSE277296 | GEO
| S-EPMC9309304 | biostudies-literature