Analysis of quality of life and inflection point age of the elderly in rural areas of Anhui Province based on ROC curve
-
摘要:
目的 评估安徽省农村地区老年人生命质量及其拐点年龄的性别差异,为提高农村老年人生命质量提供参考。 方法 采用多阶段分层整群抽样法抽取安徽省18个村为调查现场,共调查老年人3 336名,采用欧洲五维度健康量表(five-dimensional European quality of health scale, EQ-5D)评估老年人生命质量,受试者工作特征(receiver operator characteristic, ROC)曲线预测老年人生命质量拐点年龄,二元Logistic回归分析模型验证拐点年龄对生命质量的预测能力。 结果 健康效用值男性(0.774±0.200)分,女性(0.721±0.205)分,男性高于女性(t=7.500, P<0.001);老年人“疼痛不适”维度存在困难比例最高;总体生命质量拐点年龄男性72.5岁,女性70.5岁;Logistic回归分析模型结果表明拐点年龄对生命质量转变具有预测价值。 结论 安徽省农村地区老年人男性生命质量优于女性,女性生命质量拐点年龄早于男性。应关注老年人慢性疼痛及心理健康问题,以此提高生命质量。 Abstract:Objective To evaluate the quality of life of the elderly in rural areas of Anhui Province and the gender differences of their inflection point age, to provide a reference for improving the quality of life of the elderly in rural areas. Methods A total of 3 336 older adults were investigated in 18 villages in Anhui Province by using a multistage stratified cluster random sampling method. The quality of life of the elderly was assessed by the five-dimensional European quality of health scale (EQ-5D), and the inflection point age of quality of life of the elderly in different genders was predicted by the receiver operator characteristic (ROC) curve. A binary Logistic regression analysis model was used to verify the predictive ability of inflection point age on quality of life. Results The health utility value of men was (0.774±0.200) and that of women was (0.721±0.205), which was higher in men than in women (t=7.500, P < 0.001); Whether male or female, the proportion of difficulty in the dimension of "pain and discomfort" was the highest; The inflection point age of quality of life was 72.5 years for men and 70.5 years for women; Logistic regression analysis model showed that inflection point age had a predictive value for the change of quality of life. Conclusions The quality of life of the elderly men in rural areas of Anhui Province is better than that of women, and the inflection point age of all dimensions of the quality of life of women is earlier than that of men. We should pay attention to the chronic pain and mental health of the elderly to improve the quality of life. -
Key words:
- Rural area /
- The elderly /
- Quality of life /
- ROC curve /
- Inflection point age
-
表 1 调查对象人口学特征及生命质量情况[n(%)]
Table 1. Demographic characteristics and the quality of life of respondents [n(%)]
变量 合计(N=3 336) 性别 χ2值 P值 变量 合计(N=3 336) 性别 χ2值 P值 男(n=1 640) 女(n=1 696) 男(n=1 640) 女(n=1 696) 地域 1.632 0.442 行动能力 38.941 <0.001 皖北 1 482(44.4) 716(43.7) 766(45.2) 有困难 1 484(44.5) 640(39.02) 844(49.76) 皖中 919(27.6) 448(27.3) 471(27.8) 无困难 1 852(55.5) 1 000(60.98) 852(50.24) 皖南 935(28.0) 476(29.0) 459(27.0) 自我照顾 15.123 <0.001 贫困情况 14.117 <0.001 有困难 652(19.5) 276(16.83) 376(22.17) 贫困户 1 206(36.2) 645(39.3) 561(33.1) 无困难 2 684(80.5) 1 364(83.17) 1 320(77.83) 非贫困户 2 130(63.8) 995(60.7) 1 135(66.9) 日常活动 22.808 <0.001 慢性病种数 31.434 <0.001 有困难 1 674(50.2) 754(45.98) 920(54.25) 0 865(25.9) 473(28.8) 392(23.1) 无困难 1 662(49.8) 886(54.02) 776(45.75) 1 1 227(36.8) 631(38.5) 596(35.1) 疼痛不适 58.555 <0.001 ≥2 1 244(37.3) 536(32.7) 708(41.8) 有困难 2 245(67.3) 1 000(60.98) 1 245(73.41) 文化程度 512.18 <0.001 无困难 1 091(32.7) 640(39.02) 451(26.59) 文盲及半文盲 2 211(66.3) 778(47.4) 1 433(84.5) 焦虑抑郁 54.234 <0.001 小学及以上 1 124(33.7) 862(52.6) 262(15.5) 有困难 1 295(38.8) 533(32.50) 762(44.93) 居住情况 2.576 0.059 无困难 2 041(61.2) 1 107(67.50) 934(55.07) 独居 660(19.8) 306(18.7) 354(20.9) 总体生命质量 21.398 <0.001 非独居 2 676(80.2) 1 334(81.3) 1 342(79.1) 严重状态 524(15.7) 209(12.7) 315(18.6) 工作状态 62.534 <0.001 普通状态 2 812(84.3) 1 431(87.3) 1 381(81.4) 工作 1 199(35.9) 699(42.6) 500(29.5) 不工作 2 137(64.1) 941(57.4) 1 196(70.5) 表 2 调查对象生命质量评价维度拐点年龄(岁)
Table 2. Inflection point age of QOL evaluation dimension of respondents (years)
维度 AUC(95% CI)值 敏感度 特异度 最大约登指数 拐点年龄(岁) 行动能力 男 0.640(0.612~0.668) 0.439 0.777 0.216 74.5 女 0.670(0.644~0.695) 0.601 0.671 0.272 70.5 自我照顾 男 0.655(0.619~0.692) 0.591 0.645 0.236 72.5 女 0.660(0.628~0.692) 0.646 0.588 0.234 70.5 日常活动 男 0.636(0.609~0.663) 0.558 0.649 0.207 71.5 女 0.661(0.635~0.687) 0.573 0.665 0.238 70.5 疼痛不适 男 0.536(0.507~0.564) 0.336 0.738 0.074 74.5 女 0.570(0.539~0.601) 0.494 0.619 0.113 70.5 焦虑抑郁 男 0.538(0.508~0.568) 0.445 0.630 0.075 72.5 女 0.540(0.512~0.567) 0.768 0.304 0.072 65.5 总体生命质量 男 0.654(0.613~0.696) 0.598 0.635 0.233 72.5 女 0.664(0.630~0.697) 0.657 0.580 0.237 70.5 表 3 Logistic回归模型对拐点年龄的验证
Table 3. Verification of inflection point age by Logistic regression model
维度 男性 女性 OR(95% CI)值 C(95% CI)指数 OR(95% CI)值 C(95% CI)指数 行动能力 2.106(1.661~2.672) 0.727(0.702~0.752) 2.417(1.945~3.005) 0.732(0.708~0.755) 自我照顾 1.750(1.309~2.339) 0.716(0.690~0.741) 1.990(1.537~2.576) 0.721(0.694~0.749) 日常活动 1.810(1.450~2.259) 0.722(0.697~0.747) 2.060(1.661~2.554) 0.699(0.674~0.723) 疼痛不适 1.299(1.024~1.649) 0.653(0.627~0.680) 1.318(1.037~1.675) 0.672(0.643~0.701) 焦虑抑郁 1.332(1.070~1.658) 0.644(0.615~0.672) 1.272(1.010~1.601) 0.638(0.612~0.664) 总体生命质量 1.766(1.274~2.448) 0.786(0.753~0.819) 2.034(1.540~2.687) 0.739(0.711~0.767) -
[1] 国家统计局. 第七次全国人口普查主要数[EB/OL]. (2021-05-11)[2021-05-18]. http://www.stats.gov.cn/tjsj/zxfb/202105/t20210510_1817176.html.National Bureau of Statistics. The seventh national census[EB/OL]. (2021-05-11)[2021-05-18]. http://www.stats.gov.cn/tjsj/zxfb/202105/t20210510_1817176.html. [2] 穆光宗. 长寿拐点, 告诉我们什么[J]. 世界知识, 2016, (8): 13. https://www.cnki.com.cn/Article/CJFDTOTAL-SJZS201608006.htmMu GZ. Longevity turning point, tell us what[J]. World knowledge, 2016, (8): 13. https://www.cnki.com.cn/Article/CJFDTOTAL-SJZS201608006.htm [3] Liu G, Wu H, Li M, et al. Chinese time trade-off values for EQ-5D health states[J]. Value in health, 2014, 17(5): 597-604. DOI: 10.1016/j.jval.2014.05.007. [4] 吴春眉. EQ-5D效用值中国积分体系应用于中国人群的可适性研究[D]. 武汉: 华中科技大学, 2017.Wu CM. Chinese version of the EQ-5D value set: applicability in Chinese general population[D]. Wuhan: Huazhong University of Science and Technology, 2017. [5] 蔡一凡, 伍红艳, 张堂钦, 等. 基于EQ-5D-3L和ICECAP-A量表的我国普通人群生命质量研究[J]. 中国卫生经济, 2020, 39(4): 71-75. DOI: 10.7664/CHE20200418.Cai YF, Wu HY, Zhang TQ, et al. Comparative analysis on the difference of EQ-5D-3L and ICECAP-A in measuring life quality in China[J]. Chinese Health Economics, 2020, 39(4): 71-75. DOI: 10.7664/CHE20200418. [6] 陈璐, 谢文婷. 农村成年子女外出务工对留守父母健康的影响研究[J]. 人口学刊, 2019, 41(4): 84-93. DOI: 10.16405/j.cnki.1004-129X.2019.04.007.Chen L, Xie WT. Impact of adult children's migration on health of rural left-behind parents[J]. Population Journal, 2019, 41(4): 84-93. DOI: 10.16405/j.cnki.1004-129X.2019.04.007. [7] 杨秀兰, 邵明, 崔梦捷, 等. 合肥市老年人健康适能现况及影响因素[J]. 中华疾病控制杂志, 2021, 25(6): 679-685, 715. DOI: 10.16462/j.cnki.zhjbkz.2021.06.011.Yang XL, Shao M, Cui MJ, et al. Current status and influencing factors of healthy fitness of the elderly in Hefei City[J]. Chin J Dis Control, 2021, 25(6): 679-685, 715. DOI: 10.16462/j.cnki.zhjbkz.2021.06.011. [8] 孙小雁, 左学金. 中国城乡老年人收入结构变化及影响因素分析[J]. 上海经济研究, 2021, (6): 62-73. DOI: 10.19626/j.cnki.cn31-1163/f.2021.06.006.Sun XY, Zuo XJ. Income of China's urban and rural elderly: changing structure and determinants[J]. Shanghai Journal of Economics, 2021, (6): 62-73. DOI: 10.19626/j.cnki.cn31-1163/f.2021.06.006. [9] Zis P, Daskalaki A, Bountouni I, et al. Depression and chronic pain in the elderly: links and management challenges[J]. Clin Interv Aging, 2017, 12: 709-720. DOI: 10.2147/CIA.S113576. [10] 丁小婷, 杨晓珊, 王文杰, 等. 武汉市社区老年人生命质量及影响因素分析[J]. 中华疾病控制杂志, 2017, 21(10): 1014-1017, 1021. DOI: 10.16462/j.cnki.zhjbkz.2017.10.011.Ding XT, Yang XS, Wang WJ, et al. Health-related quality of life and its risk factors among community-dwelling older adults in Wuhan[J]. Chin J Dis Control, 2017, 21(10): 1014-1017, 1021. DOI: 10.16462/j.cnki.zhjbkz.2017.10.011. [11] 庄海林, 贾丽娜, 李丹, 等. 福州市社区老年慢性病患者抑郁症现状及影响因素调查研究[J]. 中国预防医学杂志, 2019, 20(9): 803-807. DOI: 10.16506/j.1009-6639.2019.09.008.Zhuang HL, Jia LN, Li D, et al. Survey on the depression of the elderly with chronic diseases and its influencing factors in the communities of Fuzhou[J]. Chin Prev Med, 2019, 20(9): 803-807. DOI: 10.16506/j.1009-6639.2019.09.008. [12] 王丽, 张晓. 我国农村老年人抑郁症状性别差异及影响因素研究[J]. 中华疾病控制杂志, 2018, 22(11): 1148-1151. DOI: 10.16462/j.cnki.zhjbkz.2018.11.013.Wang L, Zhang X. The sexual disparity and determinants of depressive symptoms among the rural elderly in China[J]. Chin J Dis Control, 2018, 22(11): 1148-1151. DOI: 10.16462/j.cnki.zhjbkz.2018.11.013. [13] 姜文慧, 高成阁, 董莹莹, 等. 首发抑郁症患者的生活质量与临床症状的相关性研究[J]. 西安交通大学学报(医学版), 2021, 42(3): 448-452. DOI: 10.7652/jdyxb202103022.Jiang WH, Gao CG, Dong YY, et al. Association between quality of life and clinical symptoms in patients with the first-episode depression[J]. J Xi'an Jiaotong Univ Med Sci, 2021, 42(3): 448-452. DOI: 10.7652/jdyxb202103022. -