[Gender difference in osteoporosis prevalence, awareness and treatment: based on the Korea national health and nutrition examination survey 2008~2011]. 2015

Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
College of Nursing, Eulji University, Seongnam, Korea.

OBJECTIVE The aim of the study was to assess and identify gender differences in factors associated with prevalence, awareness, and treatment of osteoporosis. METHODS Data for 3,071 men and 3,635 women (age ≥ 50) from the Korea National Health and Nutrition Examination Survey 2008~2011 were included. Osteoporosis was defined by World Health Organization T-score criteria. Impact factors and odds ratios were analysed by gender using multivariate logistic regression. RESULTS Osteoporosis prevalence rates were 7.0% in men and 40.1% in women. Osteopenia rates were 45.5% and 46.0% respectively. Among respondents with osteoporosis, 7.6% men and 37.8% women were aware of their diagnosis. Also 5.7% men with osteoporosis and 22.8% women were treated. Higher prevalence was found among respondents who were older, at lower socioeconomic levels, with lower body mass index and shorter height in both genders, and among women with fracture history, and non-hormonal replacement therapy. Awareness and treatment rates for the risk groups were similar compared to the low risk controls for both genders. Fracture history increased awareness and treatment rates independently for both genders. Women with perceived poor health status and health screening had increased awareness and treatment rates, but not men. CONCLUSIONS Results indicate that postmenopausal women have a higher prevalence of osteoporosis than men and awareness and treatment rates were higher than for men. Despite gender difference in prevalence, osteoporosis was underdiagnosed and undertreated for both genders. Specialized public education and routine health screenings according to gender could be effective strategies to increase osteoporosis awareness and treatment.

UI MeSH Term Description Entries
D007722 Health Knowledge, Attitudes, Practice Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL). Knowledge, Attitudes, Practice
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009749 Nutrition Surveys A systematic collection of factual data pertaining to the nutritional status of a human population within a given geographic area. Data from these surveys are used in preparing NUTRITION ASSESSMENTS. NHANES,National Health and Nutrition Examination Survey,Nutritional Surveys,Nutrition Survey,Nutritional Survey,Survey, Nutrition,Survey, Nutritional,Surveys, Nutrition,Surveys, Nutritional
D010024 Osteoporosis Reduction of bone mass without alteration in the composition of bone, leading to fractures. Primary osteoporosis can be of two major types: postmenopausal osteoporosis (OSTEOPOROSIS, POSTMENOPAUSAL) and age-related or senile osteoporosis. Age-Related Osteoporosis,Bone Loss, Age-Related,Osteoporosis, Age-Related,Osteoporosis, Post-Traumatic,Osteoporosis, Senile,Senile Osteoporosis,Osteoporosis, Involutional,Age Related Osteoporosis,Age-Related Bone Loss,Age-Related Bone Losses,Age-Related Osteoporoses,Bone Loss, Age Related,Bone Losses, Age-Related,Osteoporoses,Osteoporoses, Age-Related,Osteoporoses, Senile,Osteoporosis, Age Related,Osteoporosis, Post Traumatic,Post-Traumatic Osteoporoses,Post-Traumatic Osteoporosis,Senile Osteoporoses
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012737 Sex Factors Maleness or femaleness as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or effect of a circumstance. It is used with human or animal concepts but should be differentiated from SEX CHARACTERISTICS, anatomical or physiological manifestations of sex, and from SEX DISTRIBUTION, the number of males and females in given circumstances. Factor, Sex,Factors, Sex,Sex Factor

Related Publications

Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
October 2013, Investigative ophthalmology & visual science,
Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
January 2020, Brazilian journal of otorhinolaryngology,
Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
October 2014, Nutrition research and practice,
Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
January 2019, Journal of the American College of Nutrition,
Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
February 2014, Osong public health and research perspectives,
Yunmi Kim, and Jung Hwan Kim, and Dong Sook Cho
September 2015, International journal of environmental research and public health,
Copied contents to your clipboard!