지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.4
- 수록면
- 136 - 144 (9page)
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초록· 키워드
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Objectives: The purpose of this study was to determine which factors influence the bone mineral density (BMD) of total femur (TF), femoral neck (FN) and lumbar spine (LS) of the adult men by analyzing nationally representative Korean survey data.
Methods: This study was conducted based on the data of 1,770 men aged 19-64 years from the Fifth Korea National Health and Nutrition Examination Survey (KNHANESV), 2010~2011. The BMD was analyzed by various factors (general characteristics, anthropometric data, health habits, chronic diseases, nutrient intake status). SPSS statistics for complex samples was used to analyze the data.
Results: We observed that the BMD decreased significantly with aging. The BMD in each of the second lowest quartile of waist circumference (in TF & FN) and body mass index (in TF & LS) was lower than the respective BMD in the highest quartile group. The BMD in FN was higher in the group who reported the weight training. The BMD in LS was lower in hypercholesterolemia group than in the normal group. The BMD in TF, FN and LS was lower in hypertriglyceridemia group and in diabetes group than in the normal group. The BMD in TF, FN and LS was higher in the group with < Estimated Average Requirement iron intake. But there was no evidence to suggest that the BMD was related with educational level, income level, smoking, alcohol intake, anemia and nutrient intake status (except for iron).
Conclusions: This study suggested that aging, waist circumference, body mass index, weight training, hypercholesterolemia, hypertriglycemia, diabetes were site-specifically associated with the BMD in TF, FN and LS in the adult men. These bone site-specific factors need to be considered for the prevention of osteoporosis.
Methods: This study was conducted based on the data of 1,770 men aged 19-64 years from the Fifth Korea National Health and Nutrition Examination Survey (KNHANESV), 2010~2011. The BMD was analyzed by various factors (general characteristics, anthropometric data, health habits, chronic diseases, nutrient intake status). SPSS statistics for complex samples was used to analyze the data.
Results: We observed that the BMD decreased significantly with aging. The BMD in each of the second lowest quartile of waist circumference (in TF & FN) and body mass index (in TF & LS) was lower than the respective BMD in the highest quartile group. The BMD in FN was higher in the group who reported the weight training. The BMD in LS was lower in hypercholesterolemia group than in the normal group. The BMD in TF, FN and LS was lower in hypertriglyceridemia group and in diabetes group than in the normal group. The BMD in TF, FN and LS was higher in the group with < Estimated Average Requirement iron intake. But there was no evidence to suggest that the BMD was related with educational level, income level, smoking, alcohol intake, anemia and nutrient intake status (except for iron).
Conclusions: This study suggested that aging, waist circumference, body mass index, weight training, hypercholesterolemia, hypertriglycemia, diabetes were site-specifically associated with the BMD in TF, FN and LS in the adult men. These bone site-specific factors need to be considered for the prevention of osteoporosis.
목차
ABSTRACT
서론
연구대상 및 방법
결과
고찰
요약 및 결론
References
참고문헌 (32)
참고문헌 신청
Gates BJ, Das S. Management of osteoporosis in elderly men. Matur 2011; 69(2): 113-119.
Statistics Korea. Life table 2014 [internet]. Statistics Korea; 2015 [cited 2016 Nov 2]. Available from: http://kosis.kr/.
Korpi-Steiner N, Milhorn D, Hammett-Stabler C. Osteoporosis in men. Clin Biochem 2014; 47(10): 950-959.
Kaufman JM, Lapauw B, Goemaere S. Current and future treatments of osteoporosis in men. Best Pract Res Clin Endocrinol Metab 2014; 28(6): 871-884.
Lee HS. Prevalence of osteopenia/osteoporosis and related risk factors of men aged 50 years and older: Korea National Health and Nutrition Examination Survey 2010~2011 data. J Korean Diet Assoc 2016; 22(2): 106-117.
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