Literature DB >> 24027205

Chinese men's knowledge and risk factors of osteoporosis: compared with women's.

Chi Peng Wong1, Mei Kun Lok, Yuk Tsan Wun, Sai Meng Pang.   

Abstract

Male osteoporosis is underappreciated. Little is known about men's knowledge of osteoporosis and how much men are at risk. This study surveyed men's knowledge of osteoporosis and their risk factors with reference to women in the primary care setting in Macau, China. A convenience sample of 302 men and 635 women aged 18 to 90 years completed questionnaires comprising the Osteoporosis Knowledge Assessment Tool and the One-Minute Osteoporosis Risk Test. Their risks of osteoporosis were assessed with the Osteoporosis Self-Assessment Screening Test. Men and women, who were aged 55 years or below, had similarly limited knowledge of osteoporosis. People aged above 55 years had significantly less knowledge; men had less knowledge than women only in this age-group. If questions specific to women or menopause were excluded, men had similar knowledge as women. A higher proportion of men than women had risk factors as more men consumed alcohol or smoked tobacco. Similar proportions of men and women reported a loss of 1 inch in body height after age 40. After age 55, 29.2% men were at medium to high risk of osteoporosis. This study concludes that health education and primary prevention of osteoporosis should be promoted to men starting in middle-age.

Entities:  

Keywords:  Chinese; knowledge; male osteoporosis; primary care; risk factors

Mesh:

Year:  2013        PMID: 24027205     DOI: 10.1177/1557988313503981

Source DB:  PubMed          Journal:  Am J Mens Health        ISSN: 1557-9883


  6 in total

1.  Osteoporosis knowledge, health beliefs, and self-efficacy in Hong Kong Chinese men.

Authors:  Sue Seen Tsing Lo; Wai Ming Kok
Journal:  Arch Osteoporos       Date:  2022-04-08       Impact factor: 2.617

2.  Clinical value of self-assessment risk of osteoporosis in Chinese.

Authors:  Hong-Mei Zhang; Hui-Ling Liu; Xuan Wang; Wei Chen; Dan Chen; Zhong-Zhi Zhang; Han-Ming Wang
Journal:  Open Med (Wars)       Date:  2016-06-23

3.  A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images.

Authors:  Liyu Liu; Meng Si; Hecheng Ma; Menglin Cong; Quanzheng Xu; Qinghua Sun; Weiming Wu; Cong Wang; Michael J Fagan; Luis A J Mur; Qing Yang; Bing Ji
Journal:  BMC Bioinformatics       Date:  2022-02-10       Impact factor: 3.169

Review 4.  Epidemiology and management of osteoporosis in the People's Republic of China: current perspectives.

Authors:  Xiao Lin; Dan Xiong; Yi-Qun Peng; Zhi-Feng Sheng; Xi-Yu Wu; Xian-Ping Wu; Feng Wu; Ling-Qing Yuan; Er-Yuan Liao
Journal:  Clin Interv Aging       Date:  2015-06-25       Impact factor: 4.458

5.  The Role of Monocyte Percentage in Osteoporosis in Male Rheumatic Diseases.

Authors:  Yu-Jih Su; Chao Tung Chen; Nai-Wen Tsai; Chih-Cheng Huang; Hung-Chen Wang; Chia-Te Kung; Wei-Che Lin; Ben-Chung Cheng; Chih-Min Su; Sheng-Yuan Hsiao; Cheng-Hsien Lu
Journal:  Am J Mens Health       Date:  2017-09-13

6.  Awareness of osteoporosis among 368 residents in China: a cross-sectional study.

Authors:  Kemal Sherefa Oumer; Yawen Liu; Qiong Yu; Fan Wu; Shuman Yang
Journal:  BMC Musculoskelet Disord       Date:  2020-03-30       Impact factor: 2.362

  6 in total

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