基于上海社区老年人群队列的心血管疾病和恶性肿瘤的危险因素流行特征分析
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李萍, 蒋惠如, 叶梦月, 王雅玉, 陈潇雨, 袁安彩, 徐文杰, 戴慧敏, 陈曦, 闫小响, 涂圣贤, 郑元琦, 张薇, 卜军
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Analysis of epidemiological characteristics of risk factors for cardiovascular diseases and malignant tumors based on the Shanghai community elderly cohort
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LI Ping, JIANG Huiru, YE Mengyue, WANG Yayu, CHEN Xiaoyu, YUAN Ancai, XU Wenjie, DAI Huimin, CHEN Xi, YAN Xiaoxiang, TU Shengxian, ZHENG Yuanqi, ZHANG Wei, PU Jun
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表2 上海社区老年人群的日常生活习惯分析
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Tab 2 Analysis of daily living habits of Shanghai community elderly cohort
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| Daily living habit | Tumor-free and non-cardiovascular disease group (n=6 222) | Single cardiovascular disease group (n=10 523) | Single tumor group (n=480) | Tumor cardiovascular disease co-occurrence group (n=723) | χ2 value | P value |
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| Smoking/n(%)① | | | | | 130.142 | 0.000 | | No | 4 576 (73.5) | 8 140 (77.4)② | 417 (86.9)② | 646 (89.4)② | | | | Yes | 1 646 (26.5) | 2 380 (22.6)② | 63 (13.1)② | 77 (10.6)② | | | | Drinking tea/n(%)① | | | | | 12.517 | 0.006 | | No | 4 578 (73.6) | 7 824 (74.4) | 378 (78.8)② | 566 (78.3)② | | | | Yes | 1 641 (26.4) | 2 695 (25.6) | 102 (21.2)② | 157 (21.7)② | | | | Drinking coffee/n(%)① | | | | | 1.017 | 0.797 | | No | 5 809 (93.4) | 9 853 (93.7) | 444 (92.7) | 677 (93.6) | | | | Yes | 411 (6.6) | 668 (6.3) | 35 (7.3) | 46 (6.4) | | | | Drinking carbonated drink/n(%)① | | | | | 8.407 | 0.033 | | No | 6 180 (99.4) | 10 453 (99.4) | 470 (98.1) ② | 717 (99.3) | | | | Yes | 39 (0.6) | 67 (0.6) | 9 (1.9) ② | 5 (0.7) | | | | Drinking alcohol/n(%) | | | | | 1.143 | 0.767 | | No | 5 195 (83.5) | 8 767 (83.3) | 397 (82.7) | 593 (82.0) | | | | Yes | 1 027 (16.5) | 1 756 (16.7) | 83 (17.3) | 130 (18.0) | | | | Sedentary time/n(%)① | | | | | 69.673 | 0.000 | | ≤2 h/d | 3 392 (54.6) | 5 230 (49.8) ② | 238 (49.7)② | 317 (43.9)② | | | | 3‒4 h/d | 2 255 (36.3) | 4 060 (38.6) ② | 184 (38.4) | 296 (41.0)② | | | | >4 h/d | 562 (9.1) | 1 216 (11.6) ② | 57 (11.9)② | 109 (15.1)② | | | | Physical activity level/n(%) | | | | | 46.650 | 0.000 | | Low level | 300 (4.8) | 618 (5.9)② | 29 (6.0) | 64 (8.9)② | | | | Middle level | 1 973 (31.7) | 3 592 (34.1)② | 176 (36.7)② | 265 (36.7)② | | | | High level | 3949 (63.5) | 6 313 (60.0)② | 275 (57.3)② | 394 (54.5)② | | | | Sleep quality/n(%)① | | | | | 27.736 | 0.000 | | Good | 5 172 (83.3) | 8 495 (80.9)② | 381 (79.5)② | 553 (76.8)② | | | | Poor | 1 038 (16.7) | 2 011 (19.1)② | 98 (20.5)② | 167 (23.2)② | | |
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