-
摘要:
目的 研究特大型城市人群精神残疾的流行状况和历史发展趋势。 方法 基于2006年第二次全国残疾人抽样调查中关于特大型城市人群的调查,按照居住地区域划分为主城区和郊区人群,分别对两组人群的人口特征以及精神残疾流行状况进行描述性分析。采用人口学和流行病学计算方法,对特大型城市人群精神残疾患病率历史发展趋势进行回推,分析其历史发展趋势。 结果 特大型城市精神残疾调查时点的现患率为0.66%,高于全国平均水平的0.63%。郊区人群精神残疾率(0.63%)低于主城区人群(0.71%)。新中国成立以来,特大型城市的精神残疾现患率呈现上升趋势。改革开放以前为恒稳的上升趋势,改革开放以后上升速度陡增。 结论 特大型城市精神残疾现患率高于全国平均水平,主城区人群精神残疾现患率高于郊区人群。新中国成立以来,特大型城市精神残疾现患率呈现出“恒稳变动”到“快速上升”的规律。 Abstract:Objective To study the prevalence and the historical development trend of mental disability in mega cities in China. Methods Using the Second National Disability Sample Survey in 2006, this study analyzed the demographic characteristics and the prevalence of mental disability in inner city areas and outer suburban areas of Chinese mega cities. Based on the demographic analysis technique and epidemiological analysis, this study investigated the historical development trend of the prevalence of mental disability in mega cities. Results The prevalence rate of mental disability in mega city areas was 0.66%, which was higher than the national average (0.63%). The prevalence of mental disability among suburban residents (0.63%) was lower than that of inner city areas residents (0.71%). Since the founding of the People's Republic of China, the prevalence of mental disability in mega cities has been on the rise. Before the reform and opening up, there was a relatively stable upward trend of the prevalence, while after that, this upward speed increased sharply. Conclusions The prevalence of mental disability in mega cities is higher than the national average. In mega cities, the prevalence of mental disability in inner city areas are larger than those in the suburbs. Since the founding of the People's Republic of China, the trend of the prevalence of mental disability in mega cities presented "stable upward" to "rapid rise". -
Key words:
- Mega cities /
- Mental disability /
- Epidemic situation /
- Development trend
-
表 1 研究对象一般人口学特征[n(%)]
Table 1. General demographic characteristics of the study subjects [n(%)]
特征 样本量 总体 主城区 郊区 性别 男 159 087(49.73) 65 269(48.88) 93 818(50.35) 女 160 794(50.27) 68 273(51.12) 92 521(49.65) 年龄(岁) 0~ < 18 55 311(17.29) 16 595(12.43) 38 716(20.78) 18~ < 45 132 236(41.34) 55 096(41.26) 77 140(41.40) 45~ < 65 92 883(29.04) 42 172(31.58) 50 711(27.21) ≥65 39 451(12.33) 19 679(14.74) 19 772(10.61) 教育程度 小学及以下 114 880(35.91) 26 605(19.92) 88 275(47.37) 初中 96 177(30.07) 34 646(25.94) 61 531(33.02) 高中及以上 108 824(34.02) 72 291(54.13) 36 533(19.61) 人均收入 低收入组 44 644(13.96) 3 169(2.37) 41 475(22.26) 中等收入组 67 798(21.19) 13 200(9.88) 54 598(29.30) 高收入组 207 439(64.85) 117 173(87.74) 90 266(48.44) 就业状况 就业 303 460(94.87) 123 322(92.35) 180 138(96.67) 失业 16 421(5.13) 10 220(7.65) 6 201(3.33) 表 2 特大型城市精神残疾的流行状况[n(%)]
Table 2. Prevalence of mental disability in mega cities [n(%)]
特征 样本量 χ2值 P值 总体 主城区 郊区 性别 男 963(0.61) 437(0.67) 526(0.56) 7.58 0.006 女 1 159(0.72) 510(0.75) 649(0.70) 1.14 0.286 年龄(岁) 0~ < 18 41(0.07) 11(0.07) 30(0.08) 0.20 0.657 18~ < 45 674(0.51) 241(0.44) 433(0.56) 9.73 0.002 45~ < 65 773(0.83) 345(0.82) 428(0.84) 0.19 0.665 ≥65 634(1.61) 350(1.78) 284(1.44) 7.30 0.007 教育程度 小学及以下 1 121(0.98) 337(1.27) 784(0.89) 30.32 < 0.001 初中 560(0.58) 290(0.84) 270(0.44) 60.73 < 0.001 高中及以上 441(0.41) 320(0.44) 121(0.33) 7.47 0.006 人均收入 低收入组 537(1.20) 64(2.02) 473(1.14) 19.15 < 0.001 中等收入组 490(0.72) 135(1.02) 355(0.65) 20.56 < 0.001 高收入组 1 095(0.53) 748(0.64) 347(0.38) 62.62 < 0.001 就业状况 就业 1 886(0.62) 798(0.65) 1 088(0.60) 2.20 0.138 失业 236(1.44) 149(1.46) 87(1.40) 0.08 0.774 总体 2 122(0.66) 947(0.71) 1 175(0.63) 7.29 0.007 -
[1] 于涛方. 崛起的中国特大城市: 空间趋势与社会经济分异[J]. 人类居住, 2018, (4): 34-47. https://www.cnki.com.cn/Article/CJFDTOTAL-RLJZ201804010.htmYu TF. The uprising China mega-cities: the spatial and socio-economic perspectives[J]. Hum Settlements, 2018(4): 34-47. https://www.cnki.com.cn/Article/CJFDTOTAL-RLJZ201804010.htm [2] 黄悦勤. 我国精神卫生的现状和挑战[J]. 中国卫生政策研究, 2011, 4(9): 5-9. DOI: 10.3969/j.issn.1674-2982.2011.09.002.Huang YQ. Status quo and challenge of mental health in China[J]. Chinese Journal of Health Policy, 2011, 4(9): 5-9. DOI: 10.3969/j.issn.1674-2982.2011.09.002. [3] Dye C. Health and urban living[J]. Science, 2008, 319(5864): 766-769. DOI: 10.1126/science.1150198. [4] Lederbogen F, Kirsch P, Haddad L, et al. City living and urban upbringing affect neural social stress processing in humans[J]. Nature, 2011, 474(7352): 498-501. DOI: 10.1038/nature10190. [5] Lewis G, David A, Andreasson S, et al. Schizophrenia and city life[J]. Lancet, 1992, 340(8812): 137-140. DOI: 10.1016/0140-6736(92)93213-7. [6] Zheng X, Chen G, Song X, et al. Twenty-year trends in the prevalence of disability in China[J]. Bull World Health Organ, 2011, 89(11): 788-797. DOI: 10.2471/blt.11.089730. [7] World Health Organization. International classification of functioning, disability, and health (ICF)[R]. The World Health Organization, 2011, Geneva, Switzerland. [8] 第二次全国残疾人抽样调查办公室. 第二次全国残疾人抽样调查资料[M]. 北京: 中国统计出版社, 2007.Office of the Second National Sample Survey on the Disability. Data of the second national sample survey on the disabled[M]. Beijing: China Statistics Press, 2007. [9] 第二次全国残疾人抽样调查办公室, 第二次全国残疾人抽样调查主要数据手册[M]. 北京: 华夏出版社, 2007.Office of the Second National Sample Survey on the Disability. Data manual of the second national sample survey on the disabled[M]. Beijing: China Statistics Press, 2007. [10] World Health Organization. The ICD-10 classification of mental and behavioral disorders: clinical descriptions and diagnostic guidelines[R]. The World Health Organization, 1992, Geneva, Switzerland. [11] 李向青, 杜敏霞, 李荣. 2005-2012年中国精神疾病死亡率的流行病学分析[J]. 现代预防医学, 2015, 42(1): 4-7. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201501002.htmLi XQ, Du MX, Li R. Epidemiological analysis of the mortality rate of mental illness in China, 2005-2012[J]. Modern Prevent Med, 2015, 42(1): 4-7. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201501002.htm [12] 陈三军. 中国残疾人口死亡水平研究[D]. 北京: 北京大学人口研究所, 2011.Chen SJ. Study on the level of death of disabled population in China[D]. Beijing: Institute of Population Research, Peking University, 2011. [13] Lewis G, David A, Andreasson S, et al. Schizophrenia and city life[J]. Lancet, 1992, 340(8812): 137-140. DOI: 10.1016/0140-6736(92)93213-7. [14] Eaton WW. Epidemiology of schizophrenia[J]. Epidemiol Rev, 1985, 7(1): 105-126. DOI: 10.1093/oxfordjournals.epirev.a036278. [15] Widerlov B, Borga P, Cullberg J, et al. Epidemiology of long-term functional psychosis in three different areas in Stockholm County[J]. Acta Psychiatr Scand, 1989, 80(1): 40-46. DOI: 10.1111/j.1600-0447.1989.tb01298.x. [16] Sun X, et al. Urban expansion simulation and the spatio-temporal changes of ecosystem services, a case study in Atlanta Metropolitan area, USA[J]. Sci Total Environ, 2018, 622-623: 974-987. DOI: 10.1016/j.scitotenv.2017.12.062. [17] Allianz Group. The megacity state: the world's biggest cities shaping our future[R]. Munich: Allianz, 2015. [18] 郑晓瑛. 再论人口健康[J]. 人口研究, 2003, 27(4): 13-24. https://www.cnki.com.cn/Article/CJFDTOTAL-RKYZ200304002.htmZheng XY. Readdress population health[J]. Population Research, 2003, 27(4): 13-24. https://www.cnki.com.cn/Article/CJFDTOTAL-RKYZ200304002.htm [19] Simmel G. The metropolis and mental life[M]. New York: Free Press, 1950. [20] 李哲, 韩晓燕. 快速城市化背景下北京市朝阳区18-44岁人群超重肥胖流行趋势[J]. 职业与健康, 2018, 34(4): 512-516. DOI: 10.13329/j.cnki.zyyjk.2018.0144.Li Z, Han XY. Epidemic trends of overweight and obesity among residents aged 18-44 years old in Chaoyang District of Beijing in the context of rapid urbanization[J]. Occup Heal, 2018, 34(4): 512-516. DOI: 10.13329/j.cnki.zyyjk.2018.0144. [21] Sokejima S, Kagamimori S. Working hours as a risk factor for acute myocardial infarction in Japan: case-control study[J]. BMJ, 1998, 317(7161): 775-780. DOI: 10.1136/bmj.317.7161.775. [22] Gerdtham UG, Ruhm CJ. Deaths rise in good economic times: evidence from the OECD[J]. Econ Hum Biol, 2006, 4(3): 298-316. DOI: 10.1016/j.ehb.2006.04.001. [23] Ruhm CJ. Commentary: mortality increases during economic upturns[J]. Int J Epidemiol, 2005, 34(6): 1206-1211. DOI: 10.1093/ije/dyi143.