Urban-rural differences in population attributable fractions for risk dementia factors
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摘要:
目的 使用人群归因分值(population attributable fractions, PAF)探讨痴呆危险因素所造成痴呆患者的比例,为今后痴呆的早期预防和干预提供建议。 方法 采用随机整群抽样的方法选取3 361名≥65岁的老年人进行调查,使用χ2检验分析危险因素的城乡差异。在主成分分析探索危险因素之间重叠效应的基础上,计算痴呆危险因素的加权PAF。 结果 城市痴呆危险因素的总加权PAF为39.51%,高血压、超重肥胖、吸烟、低教育程度、糖尿病、缺乏体育锻炼及缺乏社交的加权PAF分别为10.46%、9.78%、5.69%、5.55%、3.93%、2.75%及1.35%。农村痴呆危险因素的总加权PAF为31.66%,低教育程度、高血压、超重肥胖、缺乏社交、吸烟和糖尿病的加权PAF分别为9.21%、6.60%、4.96%、4.94%、4.44%和1.51%。 结论 不同危险因素的加权PAF在城乡之间存在较大差异,针对痴呆的预防策略和早期干预在城市及农村的侧重点应有所不同。 Abstract:Objective Based on the population attributable fraction (PAF), the ratio of dementia induced by risk factors was estimated to provide early prevention and intervention strategies. Methods To assess the urban-rural differences of risk factors of dementia using Chi-square test in 3 361 persons which are selected using random cluster sampling and 65 years or older. Based on the results from principal components analysis, we calculated the weighted PAF of each risk factor contributing to dementia. Results The overall weighted PAF for dementia risk factors in urban was 39.51%, and the weighted PAF for individual risk factors was hypertension (10.46%), overweight and obesity (9.78%), smoking (5.69%), low education (5.55%), diabetes (3.93%), lack of physical exercise (2.75%) and lack of social interaction (1.35%). The overall weighted PAF for dementia risk factors in rural was 31.66%, and the weighted PAF for individual risk factors was low education (9.21%), hypertension (6.60%), overweight and obesity (4.96%), lack of social interaction (4.94%), smoking (4.44%), diabetes (1.51%). Conclusions There was a significant difference in weighted PAF of each risk factor between urban and rural areas. And prevention and early intervention strategies for dementia should be given different emphasis in urban and rural areas. -
Key words:
- Dementia /
- Population attributable fractions /
- Urban-rural differences
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表 1 痴呆危险因素的人群归因分值
Table 1. Population attributable fractions for dementia risk factors
危险因素 RR(95% CI)值 暴露情况(%) 重叠效应(%) PAF(%) 加权PAF(%) 低教育程度 1.6(1.3~2.0) 49.42 77.63 22.87 6.43 高血压 1.6(1.2~2.2) 53.51 64.33 24.30 6.84 糖尿病 1.5(1.3~1.8) 16.45 42.25 7.60 2.14 超重肥胖 1.6(1.3~1.9) 43.83 47.77 20.82 5.86 吸烟 1.6(1.2~2.2) 28.65 96.23 14.67 4.13 缺乏社交 1.6(1.3~1.9) 22.64 74.71 11.96 3.37 总体加权PAF(%) 28.77 表 2 痴呆危险因素的城乡分布[n(%)]
Table 2. The distribution for dementia risk factors in urban and rural areas [n(%)]
危险因素 城市 农村 χ2值 P值 暴露人数 非暴露人数 暴露人数 非暴露人数 低教育程度 372(24.22) 1 536(75.78) 1 289(88.71) 164(11.29) 1 580.92 <0.001 高血压 999(52.36) 909(47.64) 803(55.26) 650(44.74) 2.80 0.094 糖尿病 377(19.76) 1 531(80.24) 176(12.11) 1 277(87.89) 35.08 <0.001 超重肥胖 915(47.96) 993(52.04) 558(38.40) 895(61.60) 30.57 <0.001 吸烟 475(24.90) 1 433(75.10) 488(33.59) 965(66.41) 30.47 <0.001 缺乏社交 206(10.80) 1 702(89.20) 555(38.20) 898(61.80) 353.56 <0.001 缺乏体育锻炼 320(16.77) 1 588(83.23) 表 3 痴呆危险因素人群归因分值的城乡差异
Table 3. Differences in population attributable fractions for dementia risk factors between urban and rural areas
危险因素 RR(95% CI)值 城市 农村 暴露情况(%) 重叠效应(%) PAF(%) 加权PAF(%) 暴露情况(%) 重叠效应(%) PAF(%) 加权PAF(%) 低教育程度 1.6(1.3~2.0) 24.22 54.75 12.69 5.55 88.71 76.39 34.74 9.21 高血压 1.6(1.2~2.2) 52.36 55.83 23.91 10.46 55.26 55.49 24.90 6.60 糖尿病 1.5(1.3~1.8) 19.76 41.34 8.99 3.93 12.11 56.32 5.71 1.51 超重肥胖 1.6(1.3~1.9) 47.96 44.78 22.35 9.78 38.40 55.96 18.73 4.96 吸烟 1.6(1.2~2.2) 24.90 33.83 13.00 5.69 33.59 73.62 16.77 4.44 缺乏社交 1.6(1.3~1.9) 10.80 40.36 3.09 1.35 38.20 88.79 18.65 4.94 缺乏体育锻炼 1.4(1.2~1.7) 16.77 40.97 6.29 2.75 总体加权PAF(%) 39.51 31.66 -
[1] Jia J, Wei C, Chen S, et al. The cost of Alzheimer's disease in China and re-estimation of costs worldwide[J]. Alzheimers Dement, 2018, 14(4): 483-491. DOI: 10.1016/j.jalz.2017.12.006. [2] Arruda EH, Paun O. Dementia caregiver grief and bereavement: an integrative review[J]. West J Nurs Res, 2017, 39(6): 825-851. DOI: 10.1177/0193945916658881. [3] 中国国家统计局. 2019年中国统计年鉴[EB/OL]. (2019-06-09)[2020-07-10]. http://www.stats.gov.cn/tjsj/ndsj/2019/indexch.htm.National Bureau of Statistics of China. 2019 China Statistical Yearbook[EB/OL]. (2019-06-09)[2020-07-10]. http://www.stats.gov.cn/tjsj/ndsj/2019/indexch.htm. [4] Jia L, Quan M, Fu Y, et al. Dementia in China: epidemiology, clinical management, and research advances[J]. Lancet Neurol, 2020, 19(1): 81-92. DOI: 10.1016/S1474-4422(19)30290-X. [5] 林婷婷, 詹亚熹, 付书梅, 等. 阿尔茨海默病相关药物靶点和临床治疗进展[J]. 中国科学技术大学学报, 2018, 48(10): 825-837. DOI:10.3969/j.issn.0253-2778. 2018.10.009.Lin TT, Zhan YX, Fu SM, et al. The progress of drug discoveries for Alzheimer's disease[J]. J Univ Sci Technol China, 2018, 48(10): 825-837. DOI: 10.3969/j.issn.0253-2778.2018.10.009. [6] Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention, intervention, and care[J]. Lancet, 2017, 390(10113): 2673-2734. DOI: 10.1016/S0140-6736(17)31363-6. [7] Satizabal CL, Beiser AS, Chouraki V, et al. Incidence of dementia over three decades in the Framingham heart study[J]. N Engl J Med, 2016, 374(6): 523-532. DOI: 10.1056/NEJMoa1504327. [8] Langa KM, Larson EB, Crimmins EM, et al. A comparison of the prevalence of dementia in the United States in 2000 and 2012[J]. JAMA Intern Med, 2017, 177(1): 51-58. DOI: 10.1001/jamainternmed.2016.6807. [9] Chan KY, Wang W, Wu JJ, et al. Epidemiology of Alzheimer's disease and other forms of dementia in China, 1990-2010: a systematic review and analysis[J]. Lancet, 2013, 381(9882): 2016-2023. DOI: 10.1016/S0140-6736(13)60221-4. [10] Li XY, Zhang M, Xu W, et al. Midlife modifiable risk factors for dementia: a systematic review and meta-analysis of 34 prospective cohort studies[J]. Curr Alzheimer Res, 2019, 16(14): 1254-1268. DOI: 10.2174/1567205017666200103111253. [11] Jia J, Wang F, Wei C, et al. The prevalence of dementia in urban and rural areas of China[J]. Alzheimers Dement, 2014, 10(1): 1-9. DOI: 10.1016/j.jalz.2013.01.012. [12] 闫慧敏, 张梅, 张笑, 等. 中国老年人代谢综合征流行特征及其影响因素研究[J]. 中华流行病学杂志, 2019, 40(3): 284-289. DOI: 10.3760/cma.j.issn.0254-6450.2019.03.006.Yan HM, Zhang M, Zhang X, et al. Study of epidemiological characteristics of metabolic syndrome and influencing factors in elderly people in China[J]. Chin J Epidemiol, 2019, 40(3): 284-289. DOI:10.3760/cma.j.issn. 0254-6450.2019.03.006. [13] 李亮昌, 黄翔, 杨华杰, 等. 中山市和广州市农村居民行为生活方式调查[J]. 中华全科医学, 2016, 14(3): 435-437. DOI:10.16766/j.cnki.issn.1674-4152.2016.03.033.Li LC, Huang X, Yang HJ, et al. Investigation on behaviors and lifestyles about residents in rural communities in the City of Zhongshan and Guangzhou[J]. Chinese Journal of General Practice, 2016, 14(3): 435-437. DOI:10.16766/j.cnki.issn.1674-4152.2016.03.033.cnki. issn.1674-4152.2016.03.033. [14] 王丽娟, 罗绮群, 陈培仙. 社区居民不良生活方式的调查及分析[J]. 中华护理教育, 2011, 8(5): 229-232. DOI: 10.3761/j.issn.1672-9234.2011.05.014.Wang LJ, Luo QQ, Chen PX. Investigation on unhealthy lifestyles of community residents[J]. Chin J Nurs Educ, 2011, 8(5): 229-232. DOI: 10.3761/j.issn.1672-9234.2011.05.014. [15] 刘诗莉, 周来新, 邓皓月, 等. 重庆市与贵州省社区居民行为生活方式的相关因素分析[J]. 重庆医学, 2018, 47(35): 4510-4516. DOI:10.3969/j.issn.1671- 8348.2018.35.018.Liu SL, Zhou LX, Deng HY, et al. Study on associated factors of behavior lifestyle among community residents in Chongqing City and Guizhou Province[J]. Chongqing Medicine, 2018, 47(35): 4510-4516. DOI:10.3969/j.issn.1671- 8348.2018.35.018. [16] Wang N, Feng YJ, Bao HL, et al. Survey of smoking prevalence in adults aged 40 years and older in China, 2014[J]. Chin J Epidemiol, 2018, 39(5): 551-556. DOI: 10.3760/cma.j.issn.0254-6450.2018.05.003. [17] Mukadam N, Sommerlad A, Huntley J, et al. Population attributable fractions for risk factors for dementia in low-income and middle-income countries: an analysis using cross-sectional survey data[J]. Lancet Glob Health, 2019, 7(5): e596-e603. DOI: 10.1016/S2214-109X(19)30074-9. [18] Barnes DE, Yaffe K. The projected effect of risk factor reduction on Alzheimer's disease prevalence[J]. Lancet Neurol, 2011, 10(9): 819-828. DOI: 10.1016/S1474-4422(11)70072-2. [19] Norton S, Matthews FE, Barnes DE, et al. Potential for primary prevention of Alzheimer's disease: an analysis of population-based data[J]. Lancet Neurol, 2014, 13(8): 788-794. DOI: 10.1016/S1474-4422(14)70136-X. [20] 中国老龄科学研究中心. 中国城乡老年人口追踪调查主要数据简报(2010年)[EB/OL]. (2020-09-15)[2020-10-15]. http://www.crca.cn/index.php?option=com_content&view=article&id=26:2010&catid=19&Itemid=101.Chinese Aging Research Center. Brief report on the main data of Chinese urban and rural elderly population tracking survey (2010)[EB/OL]. (2020-09-15)[2020-10-15]. http://www.crca.cn/index.php?option=com_content&view=article&id=26:2010&catid=19&Itemid=101. [21] 黄杏, 黄茜, 魏沙. 湖北省60~69岁老年人超重、肥胖和中心性肥胖流行现状及其影响因素分析[J]. 中国公共卫生, 2019, 35(10): 1410-1412. DOI: 10.11847/zgggws1118360.Huang X, Huang Q, Wei S. Prevalence and influence factors of overweight, obesity and central obesity among residents aged 60-69 years in Hubei Province[J]. Chin J Public Heal, 2019, 35(10): 1410-1412. DOI: 10.11847/zgggws1118360. [22] 李俊林, 黄远霞, 梅欣, 等. 2015年湖北省武汉城市与农村成人吸烟现状比较与分析[J]. 中国健康教育, 2018, 34(7): 594-597. DOI: 10.16168/j.cnki.issn.1002-9982.2018.07.004.Li JL, Huang YX, Mei X, et al. Comparison on current situation of smoking among urban and rural adults in Wuhan City, Hubei Province, 2015[J]. Chinese Journal of Health Education, 2018, 34(7): 594-597. DOI: 10.16168/j.cnki.issn.1002-9982.2018.07.004. [23] 黄晶晶, 杨胜杰, 崔文龙, 等. 弥渡县农村老年人糖尿病患病、知晓、治疗、控制及自我管理现状[J]. 昆明医科大学学报, 2018, 39(1): 45-49. DOI: 10.3969/j.issn.1003-4706.2018.01.011.Huang JJ, Yang SJ, Cui WL, et al. The Prevalence, awareness, treatment, control and self-management of diabetes among the elderly in Midu County[J]. J Kunming Med Univ, 2018, 39(1): 45-49. DOI: 10.3969/j.issn.1003-4706.2018.01.011. [24] 陈敏辉. 社交活动对老年人健康的影响—基于城乡差异的视角[J]. 科技视界, 2019, (29): 109-111. DOI: 10.19694/j.cnki.issn2095-2457.2019.29.050.Chen MH. Effects of social activities on the health of the elderly—a perspective based on urban - rural differences[J]. Science and Technology Vision, 2019, (29): 109-111. DOI: 10.19694/j.cnki.issn2095-2457.2019.29.050. [25] Xu W, Tan L, Wang HF, et al. Education and risk of dementia: dose-response meta-analysis of prospective cohort studies[J]. Mol Neurobiol, 2016, 53(5): 3113-3123. DOI: 10.1007/s12035-015-9211-5. [26] Sharp SI, Aarsland D, Day S, et al. Hypertension is a potential risk factor for vascular dementia: systematic review[J]. Int J Geriatr Psychiatry, 2011, 26(7): 661-669. DOI: 10.1002/gps.2572. [27] Zhong G, Wang Y, Zhang Y, et al. Smoking is associated with an increased risk of dementia: a meta-analysis of prospective cohort studies with investigation of potential effect modifiers[J]. PloS One, 2015, 10(3): e0118333. DOI: 10.1371/journal.pone.0118333. [28] Wang G, Tang HD, Zhuang JP, et al. Risk factors for cognitive decline in elderly people: findings from the two-year follow-up study in a Shanghai urban community[J]. J Alzheimers Dis, 2014, 39(4): 891-897. DOI: 10.3233/JAD-131514. [29] 赵晨昭, 李娇娇, 张茗, 等. 老年人体质量指数与轻度认知功能障碍的关系[J]. 中华老年心脑血管病杂志, 2019, 21(10): 1058-1062. DOI: 10.3969/j.issn.1009-0126.2019.10.013.Zhao CZ, Li JJ, Zhang M, et al. Relationship between BMI and mild cognitive impairment in the elderly[J]. Chin J Geriatr Heart Brain Ves Dis, 2019, 21(10): 1058-1062. DOI: 10.3969/j.issn.1009-0126.2019.10.013. [30] Lu J, Lu Y, Wang X, et al. Prevalence, awareness, treatment, and control of hypertension in China: data from 1.7 million adults in a population-based screening study (China PEACE Million Persons Project)[J]. Lancet, 2017, 390(10112): 2549-2558. DOI: 10.1016/S0140-6736(17)32478-9. [31] 李建彬, 刘建勋, 王艳红, 等. 郑州市成年居民糖尿病知晓、治疗及控制现状分析[J]. 中国健康教育, 2020, 36(9): 797-800. DOI: 10.16168/j.cnki.issn.1002-9982.2020.09.005.Li JB, Liu JX, Wang YH, et al. Analysis on the status of diabetes related awareness, treatment and control among adults in Zhengzhou City[J]. Chinese Journal of Health Education, 2020, 36(9): 797-800. DOI: 10.16168/j.cnki.issn.1002-9982.2020.09.005. -