PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (1): 100-110.doi: 10.18306/dlkxjz.2020.01.010
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WANG Yiru, WANG Chen*(), ZENG Jindi
Received:
2019-03-18
Revised:
2019-12-18
Online:
2020-01-28
Published:
2020-03-28
Contact:
WANG Chen
E-mail:chencwang@zju.edu.cn
Supported by:
WANG Yiru, WANG Chen, ZENG Jindi. Study on the trend and influencing factors of overweight and obesity in Chinese adults under interactions of individual and environment[J].PROGRESS IN GEOGRAPHY, 2020, 39(1): 100-110.
Tab.1
Descriptive statistics of variables"
影响因素 | 描述 | 最小值 | 最大值 | 平均值 |
---|---|---|---|---|
个体层面 | ||||
性别 | 男=1;女=0 | 0 | 1 | 0.48 |
年龄 | 2010年个体年龄(岁) | 16 | 110 | 45.51 |
教育年限 | 2010年个体接受教育年限(a) | 0 | 22 | 7 |
城乡属性 | 城镇=1;乡村=0 | 0 | 1 | 0.46 |
工作性质 | 没有工作=0;农业工作=1;非农工作=2 | 0 | 2 | 0.76 |
有无配偶 | 有配偶=1;无配偶=0 | 0 | 1 | 0.8 |
是否吸烟 | 吸烟=1;不吸烟=0 | 0 | 1 | 0.3 |
是否酗酒 | 一周饮酒3次以上=1;一周饮酒未超过3次=0 | 0 | 1 | 0.16 |
出行方式 | 步行或自行车=1;其他=0 | 0 | 1 | 0.71 |
有无确诊慢性病 | 近半年有确诊慢性病=1;无确诊慢性病=0 | 0 | 1 | 0.15 |
抑郁得分 | 家庭追踪调查综合指标,用以衡量成人抑郁程度 | 6 | 30 | 26.93 |
工作日睡眠时间 | 工作日均睡眠时间(h) | 0 | 20 | 8.1 |
工作日锻炼时间 | 工作日均锻炼健身时间(h) | 0 | 8 | 0.27 |
工作日吃饭时间 | 工作日均用餐及其他饮食活动时间(h) | 0 | 10 | 1.46 |
工作日看电视时间 | 工作日均观看电视包括其他音频设备时间(h) | 0 | 16 | 1.66 |
休息日睡眠时间 | 节假日均睡眠时间(h) | 0 | 20 | 8.49 |
休息日锻炼时间 | 节假日均锻炼健身时间(h) | 0 | 15 | 0.3 |
休息日吃饭时间 | 节假日均用餐及其他饮食活动时间(h) | 0 | 10 | 1.49 |
休息日看电视时间 | 节假日均观看电视包括其他音频设备时间(h) | 0 | 16 | 2.03 |
肉类频次 | 最近一个月每周食用肉类次数(次) | 0 | 43 | 3.94 |
奶制频次 | 最近一个月每周食用奶制品次数(次) | 0 | 45 | 1.31 |
豆制频次 | 最近一个月每周食用豆制品次数(次) | 0 | 34 | 2.02 |
蛋类频次 | 最近一个月每周食用蛋类次数(次) | 0 | 43 | 3.05 |
油炸食物频次 | 最近一个月每周食用膨化/油炸食品次数(次) | 0 | 21 | 0.53 |
腌制食物频次 | 最近一个月每周食用腌制食品的次数(次) | 0 | 50 | 2.35 |
社区层面 | ||||
社区属性 | 居委会=1;村委会=0 | 0 | 1 | 0.35 |
环境污染 | 方圆5 km内是否有化工厂、造纸厂等高污染企业 | 0 | 1 | 0.21 |
道路条件 | 社区内土路占比(%) | 0 | 100 | 41.22 |
省域层面 | ||||
人口城市化率 | 城镇人口占常住人口的百分比(%) | 34 | 89 | 53 |
Tab.4
Development model results"
参数 | 空模型 | 线性发展模型 | 非线性发展模型 | |||||
---|---|---|---|---|---|---|---|---|
估计值 | 标准误 | 估计值 | 标准误 | 估计值 | 标准误 | |||
第一层 | ||||||||
身体质量指数 | 22.719*** | 0.018 | 22.454*** | 0.019 | 22.430*** | 0.019 | ||
时间编码 | 0.177*** | 0.004 | 0.247*** | 0.013 | ||||
时间编码的平方 | -0.023*** | 0.004 | ||||||
随机部分ε | 2.124 | 1.458 | 2.072 | 1.440 | 2.071 | 1.439 | ||
第二层 | ||||||||
随机部分γ | 9.185 | 3.031 | 9.198 | 3.033 | 9.198 | 3.033 | ||
偏差度 | 508029 | 505839 | 505815 |
Tab.5
Full nonlinear development model results"
第一层 | |||||
---|---|---|---|---|---|
估计值 | 标准误 | ||||
身体质量指数 | 19.259*** | 0.158 | |||
时间编码 | 0.679*** | 0.037 | |||
时间编码的平方 | -0.023*** | 0.004 | |||
第二层 | |||||
第一层截距 | 第一层增长斜率 | ||||
估计值 | 标准误 | 估计值 | 标准误 | ||
城乡属性 | 0.499*** | 0.042 | -0.007 | 0.009 | |
性别 | 0.518*** | 0.049 | 0.033** | 0.011 | |
年龄 | 0.020*** | 0.002 | -0.008*** | 0.000 | |
是否有配偶 | 1.203*** | 0.054 | -0.051*** | 0.012 | |
教育年限 | 0.012** | 0.005 | 0.001 | 0.001 | |
是否有确诊慢性病 | 0.310*** | 0.054 | -0.013 | 0.012 | |
是否抽烟 | -0.368*** | 0.050 | -0.018 | 0.011 | |
是否酗酒 | 0.120** | 0.053 | -0.024 | 0.012 | |
抑郁得分 | 0.040*** | 0.005 | -0.002 | 0.001 | |
出行方式 | -0.507*** | 0.041 | 0.005 | 0.009 | |
没有工作 | |||||
农业工作 | -0.064 | 0.047 | 0.027** | 0.011 | |
非农工作 | 0.342*** | 0.048 | -0.006 | 0.011 | |
日均吃饭时间 | -0.022 | 0.018 | 0.008* | 0.004 | |
日均锻炼时间 | 0.244*** | 0.021 | -0.018*** | 0.005 | |
食用易胖食品频次 | -0.024 | 0.020 | -0.007 | 0.005 | |
日均看电视时间 | 0.203*** | 0.019 | -0.004 | 0.004 | |
日均睡眠时间 | -0.081*** | 0.019 | 0.002 | 0.004 | |
食用不健康食品频次 | 0.159*** | 0.018 | 0.003 | 0.004 | |
偏差度 | 502025 |
Tab.6
Complete Logistic Regression Model Results"
空模型 | 模型1 | 模型2 | 模型3 | 模型4 | 模型5 | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
估计值 | 标准误 | 估计值 | 标准误 | 估计值 | 标准误 | 估计值 | 标准误 | 估计值 | 标准误 | 估计值 | 标准误 | |
个体层面 | ||||||||||||
城乡属性 | 0.444*** | 0.065 | 0.386*** | 0.058 | 0.281*** | 0.053 | 0.440*** | 0.063 | 0.276*** | 0.053 | ||
性别 | 0.276*** | 0.041 | 0.236*** | 0.047 | 0.275*** | 0.042 | 0.275*** | 0.041 | 0.245*** | 0.047 | ||
年龄 | 0.013*** | 0.002 | 0.013*** | 0.002 | 0.013*** | 0.002 | 0.013*** | 0.002 | 0.013*** | 0.002 | ||
是否有配偶 | 0.686*** | 0.048 | 0.674*** | 0.045 | 0.687*** | 0.048 | 0.684*** | 0.047 | 0.691*** | 0.046 | ||
是否有确诊慢性病 | 0.205*** | 0.044 | 0.223*** | 0.046 | 0.204*** | 0.044 | 0.204*** | 0.045 | 0.229*** | 0.047 | ||
是否吸烟 | -0.224*** | 0.034 | -0.237*** | 0.033 | -0.221*** | 0.034 | -0.223*** | 0.035 | -0.243*** | 0.033 | ||
是否酗酒 | 0.125** | 0.041 | 0.106** | 0.038 | 0.126** | 0.041 | 0.125** | 0.041 | 0.111** | 0.039 | ||
抑郁得分 | 0.015*** | 0.004 | 0.016*** | 0.004 | ||||||||
出行方式 | -0.222*** | 0.036 | -0.230*** | 0.036 | ||||||||
吃饭时间 | -0.051* | 0.016 | -0.048** | 0.015 | ||||||||
锻炼时间 | 0.073*** | 0.018 | 0.070*** | 0.017 | ||||||||
食用易胖食品频次 | 0.021 | 0.021 | 0.016 | 0.021 | ||||||||
看电视时间 | 0.103*** | 0.018 | 0.104*** | 0.017 | ||||||||
睡眠时间 | -0.034** | 0.017 | -0.032** | 0.016 | ||||||||
食用不健康食品频次 | 0.050** | 0.019 | 0.053** | 0.020 | ||||||||
社区层面 | ||||||||||||
社区性质 | 0.138** | 0.053 | 0.114** | 0.055 | ||||||||
环境污染 | 0.049* | 0.031 | 0.048* | 0.032 | ||||||||
道路条件 | -0.002** | 0.001 | -0.002* | 0.001 | ||||||||
省级层面 | ||||||||||||
城市化水平 | 1.064** | 0.368 | 0.725* | 0.381 | ||||||||
偏差度 | 85600 | 84415 | 83813 | 84390 | 84410 | 82597 |
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