| 陈欢欢,付波涛,朱秋映,陆华湘,罗柳红,陈礼,刘玄华,周信娟,黄精华,冯献湘,单桂苏,沈智勇.广西壮族自治区柳州市2013-2014年HIV/AIDS抗病毒治疗后BMI变化及相关因素分析[J].中华流行病学杂志,2018,39(4):487-490 |
| 广西壮族自治区柳州市2013-2014年HIV/AIDS抗病毒治疗后BMI变化及相关因素分析 |
| Dynamic variations of BMI and influencing factors among HIV/AIDS patients receiving highly active antiretroviral therapy in Liuzhou, Guangxi Zhuang Autonomous Region, 2013-2014 |
| 收稿日期:2017-09-18 出版日期:2018-04-18 |
| DOI：10.3760/cma.j.issn.0254-6450.2018.04.020 |
| 中文关键词: 艾滋病 抗病毒治疗 体质指数 |
| 英文关键词: Acquired immune deficiency syndrome Antiretroviral therapy Body mass index |
| 基金项目:国家科技重大专项（2012ZX10004910）；广西八桂学者艾滋病防控关键技术岗位专项；国家自然科学基金（81360442，81460510） |
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| 中文摘要: |
| 目的 了解广西壮族自治区柳州市艾滋病病毒感染者/艾滋病患者（HIV/AIDS）抗病毒治疗后BMI变化的动态趋势及相关因素。方法 选择2013年1月1日至2014年12月31日柳州市开始抗病毒治疗、年龄≥ 15岁、治疗基线、第（6±2）个月和（12±2）个月BMI值均有体重记录的HIV/AIDS作为研究对象，收集研究对象体重、身高数据计算BMI。采用PASW Statistics 18.0.0软件进行统计学分析，采用一般线性模型重复测量方差分析方法，进行BMI随时间变化趋势分析和多因素分析。结果 2 871例研究对象治疗基线、第（6±2）个月和（12±2）个月BMI值分别为（20.65±3.32）、（20.87±3.22）和（21.18±3.20），3个时段的BMI值差异有统计学意义（F=18.86，P<0.001）。治疗后BMI随时间推移而提升（F=37.25，P<0.001），相关因素主要为年龄、性别、婚姻状态、基线CD4+T淋巴细胞计数和WHO临床分期。结论 柳州市HIV/AIDS抗病毒治疗前BMI诊断营养不良所占的比例较高，接受抗病毒治疗后BMI的变化受多种因素影响，针对不同患者采用不同的治疗措施，有利于患者身体营养状况的恢复。 |
| 英文摘要: |
| Objective To understand the dynamic variation of BMI and influencing factors among HIV/AIDS patients receiving highly active anti-retroviral therapy (HAART) in Liuzhou, Guangxi Zhuang Autonomous Region (Guangxi). Methods HIV/AIDS patients receiving HAART for the first time since 1 January 2013 were selected. Data on BMI was analyzed among patients receiving HAART at baseline,6 months and 12 months after treatment. By using the general linear model repeated measures of analysis of variance, BMI dynamic variations and influencing factors were described and analyzed. Results The average BMI of 2 871 patients at baseline, 6th months and 12th months appeared as (20.65±3.32), (20.87±3.22) and (21.18±3.20), respectively, with differences all statistically significant (F=18.86, P<0.001). BMI were increasing over time with treatments (F=37.25, P<0.001). Main influencing factors were noticed as:age, sex, marital status, baseline data of CD4+ T cells and the WHO classification on clinical stages. Conclusions Higher proportion of BMI malnutrition counts was seen among patients before receiving HAART in Liuzhou. BMI of the patients that were on HAART seemed being influenced by many factors. It is necessary to select appropriate treatment protocols on different patients so as to improve the nutritional status of the patients. |
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