广州市护理人员亚健康状况及影响因素
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摘要
目的探讨广州市护理人员的亚健康现状并分析主要的影响因素,为针对性健康干预措施的提出奠定基础。方法 2017年11月—2018年3月,课题组随机抽取广州市3家不同等级医院的护理人员800名进行问卷调查,对所得数据进行描述性统计分析、χ2检验及二分类logistic回归分析。结果广州市护理人员亚健康评定量表总得分为55.84±11.82,亚健康总检出率为67.32%;单因素χ2检验结果表明,不同年龄、日均工作时间、工作科室、居住地、吃早餐情况、日均睡眠时间、锻炼娱乐情况、对工作条件和工作福利待遇满意度的护理人员,其亚健康检出率差异均有统计学意义(均P<0.05);二分类logistic回归分析结果表明,在各因素之间存在交互作用的情况下,仅居住地、工作科室、吃早餐情况、日均睡眠时间、对工作条件和福利满意度为护理人员健康状况的影响因素。结论护理群体的健康状况不容乐观,必须引起自身及组织对该群体健康的高度关注,并积极采取干预措施,以降低亚健康检出率,提高健康水平。
[Objective]To explore the sub-health condition of nurses in Guangzhou City,analyze its main influencing factors,and provide the foundation for targeted intervention measures. [Methods]800 nurses from three hospitals of different level were randomly selected and investigated with questionnaire from November 2017 to March 2018. And the data were analyzed with statistical description,chi-square test and logistic regression. [Results]The score of Sub-Health Measurement Scale among nurses in Guangzhou City was 55.84±11.82,and the total detection rate of sub-health was 67.32%. Univariate chi-square test showed that there were statistically significant differences in the detection rate of sub-health among nurses in different groups of age,daily working hours,working departments,places of residence,frequency of eating breakfast,daily sleep time,exercise or entertainment,and satisfaction of working conditions and working benefits(all P<0.05). Binary logistic regression analysis showed that the health status of nurses was influenced by places of residence,work departments,frequency of eating breakfast daily sleep time,and satisfaction of working conditions and working benefits in the case of interaction among various factors. [Conclusion]The health status of nurses is not optimistic,this population and related departments should pay more attention to this problem,and actively take intervention measures to reduce the detection rate of sub-health and improve the health level.
[Objective]To explore the sub-health condition of nurses in Guangzhou City,analyze its main influencing factors,and provide the foundation for targeted intervention measures. [Methods]800 nurses from three hospitals of different level were randomly selected and investigated with questionnaire from November 2017 to March 2018. And the data were analyzed with statistical description,chi-square test and logistic regression. [Results]The score of Sub-Health Measurement Scale among nurses in Guangzhou City was 55.84±11.82,and the total detection rate of sub-health was 67.32%. Univariate chi-square test showed that there were statistically significant differences in the detection rate of sub-health among nurses in different groups of age,daily working hours,working departments,places of residence,frequency of eating breakfast,daily sleep time,exercise or entertainment,and satisfaction of working conditions and working benefits(all P<0.05). Binary logistic regression analysis showed that the health status of nurses was influenced by places of residence,work departments,frequency of eating breakfast daily sleep time,and satisfaction of working conditions and working benefits in the case of interaction among various factors. [Conclusion]The health status of nurses is not optimistic,this population and related departments should pay more attention to this problem,and actively take intervention measures to reduce the detection rate of sub-health and improve the health level.
引文
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[16]张庆祥,强瑞英,冯丽仪,等.广州市公务员亚健康患病率调查[J].现代预防医学,2013,40(2):279-281.
[17]韩波.我院护理人员亚健康情况调查及影响因素分析[J].中国医药导报,2016,13(27):79-82.
[18]张远妮,张翔,姜虹,等.应用SHMSV1.0量表评价社会人口学因素对广州市城镇居民亚健康的影响研究[J].实用医学杂志,2014,30(4):627-630.
[19]张翔,张远妮,许军,等.不同生活方式对广州市城镇居民亚健康状况的影响[J].中国健康心理学杂志,2014,22(6):872-874.
[20]徐蕾,刘喜文.合理情绪疗法改善护理人员压力及倦怠感的应用现状[J].职业与健康,2018,34(21):3007-3011.
[2]李晓敏,彭保艳,孙王乐贤,等.护理人员健康促进生活方式与自我效能感关系研究[J].中国职业医学,2016,43(3):337-340.
[3]杨小珍,麦红.影响护理人员心理健康的因素分析及护理措施[J].护士进修杂志,2013,28(3):267-269.
[4]辛丽雅,许珏.无锡市三级甲等医院手术室医护人员亚健康状态与职业损伤状况[J].职业与健康,2018,34(14):1887-1890,1895.
[5]史瑞芬,刘银燕,张振路.广东省三级医院护士离职情况调查[J].中国护理管理,2016,16(11):1503-1506.
[6]唐英,吕云昉,王艺,等.军队综合性医院护理人员职业压力及对策探讨[J].医学争鸣,2018,9(5):73-75.
[7]袁晓丽,郁艳艳,江智霞,等.贵州省医务人员亚健康影响因素通径分析[J].现代预防医学,2016,43(12):2152-2155.
[8]王中华,李洁,于君.影响中国护理人员亚健康相关因素的系统评价[J].护理学报,2017,24(18):34-39.
[9]许军,吴伟旋,崔周国,等.中国三省市城镇居民亚健康评定量表常模的建立[J].中国全科医学,2015,18(28):3456-3463,3464.
[10]谢娟,罗红彬,朱红,等.天津市城镇居民亚健康现状及影响因素分析[J].中国公共卫生,2016,32(1):76-80.
[11]TEDE Z,OPHIR COHEN M,RISKIN A,et al. The reliability and validity of the Greenspan Social Emotional Growth Chart(GSEGC)in Israeli children with developmental delay and autism—A pilot study[J/OL].Res Dev Disabil,2016,55:226-234.[2018-10-26].https://www.sciencedirect.com/science/article/abs/pii/S089142221630083X.DOI:10.1016/j.ridd.2016.04.013.
[12]张超,徐燕,陈平雁.探索性因子分析与验证性因子分析在量表研究中的比较与应用[J].南方医科大学学报,2007,27(11):1699-1700.
[13]王进,董燕,郭久亮,等.Buss-Perry攻击问卷在中国军人群体中应用的修订及信效度研究[J].职业与健康,2016,32(18):2540-2542.
[14]张远妮,许军,姜虹,等.广东省城镇居民亚健康评定量表的常模研究[J].中国全科医学,2014,17(28):3325-3330.
[15]陆艳.广东省城镇居民亚健康状况及其影响因素研究[D].广州:南方医科大学,2013:19-20.
[16]张庆祥,强瑞英,冯丽仪,等.广州市公务员亚健康患病率调查[J].现代预防医学,2013,40(2):279-281.
[17]韩波.我院护理人员亚健康情况调查及影响因素分析[J].中国医药导报,2016,13(27):79-82.
[18]张远妮,张翔,姜虹,等.应用SHMSV1.0量表评价社会人口学因素对广州市城镇居民亚健康的影响研究[J].实用医学杂志,2014,30(4):627-630.
[19]张翔,张远妮,许军,等.不同生活方式对广州市城镇居民亚健康状况的影响[J].中国健康心理学杂志,2014,22(6):872-874.
[20]徐蕾,刘喜文.合理情绪疗法改善护理人员压力及倦怠感的应用现状[J].职业与健康,2018,34(21):3007-3011.