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Journal of Nursing ›› 2023, Vol. 30 ›› Issue (15): 1-5.doi: 10.16460/j.issn1008-9969.2023.15.001

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Current status and influencing factors of osteoporotic fracture risk perception bias in community elderly people

WANG Ruo-xian1, HE Bin2, Wang Yu-huan1, LIU Ke-ru1, TANG Xue-ting1, ZHAO Shu-hua1, WEI Shan-shan1   

  1. 1. Shihezi University School of Medicine, Shihezi 832002, China;
    2. The Third Affiliated Hospital of Shihezi University School of Medicine, Shihezi 832000, China
  • Received:2023-01-12 Online:2023-08-10 Published:2023-09-08

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Abstract: Objective To explore the current status and influencing factors of osteoporotic fracture risk perception bias in community elderly people. Methods Stratified random sampling was used to select 499 community elderly people from April to June 2022. The related questionnaires of osteoporotic fracture risk perception bias were used to conduct the survey. Binary logistic regression was used to analyze the influencing factors of osteoporotic fracture risk perception bias in community elderly people. Results The osteoporotic fracture risk perception bias was found in 52.3% of the interviewees and no bias in 47.7% of the interviewees. Age（OR=1.361, P=0.018）, education background（OR=5.364, P<0.001）, osteoporosis knowledge（OR=0.862, P<0.001）, osteoporosis health education competence of community nurses（OR=0.685, P<0.001）and with free diagnosis from orthopaedic surgeon or not（OR=1.756, P=0.011）were the influencing factors of osteoporotic fracture risk perception bias of community elderly people. Conclusion There is osteoporotic fracture risk perception bias in community elderly people. Age, education background, osteoporosis knowledge, osteoporosis health education competence of community nurses and with free diagnosis of orthopaedic surgeon or not are the influencing factors of the risk perception bias of osteoporotic fracture in community elderly people. Community nursing staff should pay attention to the elderly people with advanced age, less educated, and inadequate osteoporosis knowledge and without free diagnosis of orthopaedic surgeon. Improving the osteoporosis health education competence of community nurses is conducive to overcoming the osteoporotic fracture risk perception bias of the elderly and promoting their fracture prevention behavior.

Key words: elderly people, osteoporotic fracture, risk perception bias

CLC Number: 

  • R473.2
[1] 中华医学会骨质疏松和骨矿盐疾病分会.原发性骨质疏松症诊疗指南(2022)[J].中国全科医学, 2023,26(14):1671-1691.DOI:10.12114/j.issn.1007-9572.2023.0121.
[2] Chen X, Hu Y, Geng Z, et al.The “Three in One” bone repair strategy for osteoporotic fractures[J]. Front Endocrinol, 2022, 13(1):910602. DOI: 10.3389/fendo.2022.910602.
[3] 赵晶晶,曹亚景,孙纪新,等.河北省成年居民骨质疏松症患病情况及其影响因素分析[J].中国公共卫生, 2022,38(6):749-751.DOI:10.11847/zgggws1129532.
[4] Kanis JA, Cooper C, Rizzoli R, et al.Executive summary of the European guidance for the diagnosis and management of osteoporosis in postmenopausal women[J]. Calcif Tissue Int, 2019,104(3):235-238.DOI:10.1007/s00223-018-00512-x.
[5] Wang JL,Smail-Crevier R,Nannarone M, et al.The accuracy of depression risk perception in high risk Canadians[J]. J Affect Disord, 2020,265(1):410-415.DOI:10.1016/j.jad.2020.01.099.
[6] Jones SMW, Gell NM, Roth JA, et al.The relationship of perceived risk and biases in perceived risk to fracture prevention behavior in older women[J]. Ann Behav Med, 2015, 49(5):696-703. DOI: 10.1007/s12160-015-9702-7.
[7] Bevilacqua G, Westbury LD, Bloom I, et al.Investigating the relationship between self-perception of fracture risk and prior fracture: findings from the Hertfordshire Cohort Study[J]. Aging Clin Exp Res, 2023, 35(3): 599-606. DOI: 10.1007/s40520-022-02322-6.
[8] Litwic AE, Westbury LD, Carter S, et al.Self-perceived fracture risk in the global longitudinal study of osteoporosis in women: its correlates and relationship with bone microarchitecture[J]. Calcif Tissue Int, 2020, 106(6):625-636. DOI: 10.1007/s00223-020-00680-9.
[9] 孙振球,徐勇勇.医学统计学[M].4版.北京:人民卫生出版社,2014:573-575.
[10] 朱洁云,高敏,宋秋韵,等.中国老年人骨质疏松症患病率的Meta分析[J].中国全科医学,2022,25(3):346-353.DOI:10.12114/j.issn.1007-9572.2021.02.083.
[11] 梁清洋,贺玉棚,韩超,等.FRAX评分在中老年人骨质疏松性骨折风险评估中的研究进展[J]. 中国骨质疏松杂志,2020, 26(4):578-584.DOI:10.3969/j.issn.1006-7108.2020.04.022.
[12] 张红霞,杨巧巧,党晨珀,等.老年性骨质疏松患者骨折风险预测工具的范围综述[J].护理学报,2023, 30(3):57-62.DOI:10.16460/j.issn1008-9969.2023.03.057.
[13] 中国康复医学会骨质疏松预防与康复专业委员会.骨质疏松性骨折二级预防中国专家共识[J]. 中华医学杂志,2022, 102(45):3581-3591. DOI:10.3760/cma.j.cn112137-20220923-02011.
[14] Baji P, Gulácsi L, Horváth C, et al.Comparing self-perceived and estimated fracture risk by FRAX of women with osteoporosis[J]. Arch Osteoporos, 2017, 12(1): 4. DOI: 10.1007/s11657-016-0300-5.
[15] Lee KS, Feltner FJ, Bailey AL, et al.The relationship between psychological states and health perception in individuals at risk for cardiovascular disease[J]. Psychol Res Behav Manag, 2019, 12(1):317-324. DOI:10.2147/PRBM.S198280.
[16] 郭小兰,董博,姚洁.骨密度异常人群骨质疏松相关知识了解情况和服务需求调查[J]. 护理研究,2018,32(4):608-610.DOI:10.3969/j.issn.1009-6493.2018.04.032.
[17] 项少梅,王冬叶,张万里,等.温州市社区护士健康教育能力的现状及其影响因素[J]. 解放军护理杂志,2017,34(24):20-23.DOI:10.3969/j.issn.1008-9993.2017.24.004.
[18] Grover ML, Edwards FD, Chang YHH, et al.Fracture risk perception study: patient self-perceptions of bone health often disagree with calculated fracture risk[J]. Womens Health Issues,2014,24(1):e69-e75.DOI:10.1016/j.whi.2013.11.007.
[19] Dierx JAJ, Kasper HDP.The magnitude and importance of perceived health dimensions define effective tailor-made health-promoting interventions per targeted socioeconomic group[J]. Front Public Health, 2022, 10(1): 849013. DOI: 10.3389/fpubh.2022.849013.
[20] Beaudart C, Boonen A, Li N, et al.Patient preferences for lifestyle behaviours in osteoporotic fracture prevention: a cross-European discrete choice experiment[J]. Osteoporos Int, 2022, 33(6): 1335-1346. DOI: 10.1007/s00198-022-06310-4.
[21] Liu S, Kong L, Huang T, et al.Encapsulation in amylose inclusion complex enhances the stability and release of vitamin D[J]. Nutrients, 2023, 15(5): 1111. DOI: 10.3390/nu15051111.
[22] Julian C, Lentjes MAH, Huybrechts I, et al.Fracture risk in relation to serum 25-hydroxyvitamin D and physical activity: results from the EPIC-Norfolk cohort study[J]. PLoS One, 2016, 11(10): e0164160. DOI: 10.1371/journal.pone.0164160.
[23] Wang MJ, Lo YT.Strategies for improving the utilization of preventive care services: application of importance-performance gap analysis method[J]. Int J Environ Res Public Health, 2022, 19(20):13195.DOI:10.3390/ijerph192013195.
[24] 赵淑华. 社区照护能力对居家失能老年人家庭照护质量作用研究[D].石河子:石河子大学,2023.
[25] 唐雪婷. 积极老龄化背景下基层医疗卫生机构护士老年健康服务能力研究[D].石河子:石河子大学,2023.
[26] 夏维波. 骨质疏松症高骨折风险患者的识别与防治策略[J].中华骨质疏松和骨矿盐疾病杂志,2020, 13(6):493-498.DOI:10.3969/j.issn.1674-2591.2020.06.001.
[27] 林其意,杨芸峰,易春涛.基于医联体的社区康复医学科学科建设探索——以徐汇区枫林街道社区卫生服务中心为例[J].上海医药,2023,44(12):7-10.DOI:10.3969/j.issn.1006-1533.2023.12.003.
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