中老年医务职业女性骨密度影响因素分析
目的了解中老年医务职业女性骨密度的现状及变化规律,探讨影响该年龄段医务职业女性骨密度的高危因素。方法整群抽样抽取兰州市从事医务工作的183名中老年(40-70岁)职业女性,利用高频超声骨密度仪检测骨密度水平,回归分析探讨年龄、绝经与否、体重指数(BMI)、执业类型、工作活动类型等因素对中老年职业女性骨密度的影响。结果 40-50岁医务职业女性骨质疏松患病率低(2.1%),50-60岁组骨质疏松患病率明显增高(20.4%),差异有统计学意义(P〈0.05)。骨质疏松症患病率从绝经前的3.7%增加到绝经后的25.5%,差异有统计学意义(P〈0.05)。在职医务女性中,活动型与久坐型、久站型工作性质...
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Published in | 中国骨质疏松杂志 Vol. 22; no. 8; pp. 1019 - 1022 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
甘肃省妇幼保健院科研中心,兰州,730050
2016
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Subjects | |
Online Access | Get full text |
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Summary: | 目的了解中老年医务职业女性骨密度的现状及变化规律,探讨影响该年龄段医务职业女性骨密度的高危因素。方法整群抽样抽取兰州市从事医务工作的183名中老年(40-70岁)职业女性,利用高频超声骨密度仪检测骨密度水平,回归分析探讨年龄、绝经与否、体重指数(BMI)、执业类型、工作活动类型等因素对中老年职业女性骨密度的影响。结果 40-50岁医务职业女性骨质疏松患病率低(2.1%),50-60岁组骨质疏松患病率明显增高(20.4%),差异有统计学意义(P〈0.05)。骨质疏松症患病率从绝经前的3.7%增加到绝经后的25.5%,差异有统计学意义(P〈0.05)。在职医务女性中,活动型与久坐型、久站型工作性质相比,有骨量减低及骨质疏松患病率下降的趋势,但差异无统计学意义(P〉0.05)。与管理人员、护理等职业类别相比,医生职业的骨质疏松患病率最高,差异有统计学意义(P〈0.05)。经logistic回归分析,中老年医务职业女性年龄(OR 1.23,95%CI 1.02-1.13)、绝经(OR 3.26,95%CI 1.56-17.50)、久坐(OR 2.23,95%CI 1.25-3.92)是骨量减少和骨质疏松的危险因素。结论中老年医务职业女性绝经后骨质疏松发病率明显升高,减少工作负荷,适当的体育锻炼和钙剂补充是减缓骨密度降低的有效方法。 |
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Bibliography: | WANG Yanxia , LI Jiayue, LI Yamei, MAO Baohong, WANG Wendi, CHEN Ya( Research Institute, Gansu Provincial Maternity and Child-care Hospital, Lanzhou 730030, Gansu Province, China) Osteoporosis; Professional women; Bone mineral density; Middle aged and old women; Medical staff 11-3701/R Objective To investigate the predictors of bone mineral density( BMD) in peri-menopausal female health workers.Methods Using high-frequency ultrasound bone densitometer, we measured bone density-related parameters in 183 perimenopausal female health workers in Lanzhou City. Logistic regression analysis was used to analyze the role of potential predictors including age, menopausal status, body mass index, type of work, physical activity levels. Results The prevalence of osteoporosis in peri-menopausal health workers increased with age and menopause. The bone mineral density was significantly lower in doctors compared with administration and nursing staff. In the logistic regression analyses,we found that older age,menopause,and low |
ISSN: | 1006-7108 |
DOI: | 10.3969/j.issn.1006-7108.2016.08.017 |