Table 1 Meaning and descriptive statistics of the main variables
From: Does income have a non-linear impact on residents鈥� BMI? Re-examining the obesity Kuznets curve
Variable category | Variable name | Definition | Obs | Mean | SD | Min | Median | Max |
|---|---|---|---|---|---|---|---|---|
Dependent variable | BMI | kg/m^2 | 82,113 | 23.04 | 3.403 | 15.020 | 22.760 | 57.850 |
Underweight | 叠惭滨鈥�&濒迟;鈥�18.5 | 82,113 | 0.07 | 0.256 | 0 | 0 | 1 | |
Normal | 18.5鈥�&濒迟;鈥塀惭滨鈥夆墹鈥�24 | 82,113 | 0.572 | 0.495 | 0 | 1 | 1 | |
Overweight | 24鈥�&濒迟;鈥塀惭滨鈥夆墹鈥�28 | 82,113 | 0.279 | 0.449 | 0 | 0 | 1 | |
Obesity | 叠惭滨鈥�&驳迟;鈥�28 | 82,113 | 0.079 | 0.269 | 0 | 0 | 1 | |
Core independent variable | Income | Average annual income per capita (ten thousand) | 82,113 | 1.598 | 1.690 | 0.006 | 1.127 | 20.630 |
Income_sq | Square of income | 82,113 | 5.407 | 17.204 | 0.000 | 1.270 | 425.503 | |
Control variables | Gender | Male鈥�=鈥�1, female鈥�=鈥�0 | 82,113 | 0.497 | 0.500 | 0 | 0 | 1 |
Age | Age of the individual | 82,113 | 43.87 | 12.64 | 18 | 45 | 65 | |
Age_sq | Square of individual鈥檚 age | 82,113 | 2084 | 1093 | 324 | 2025 | 4225 | |
Residence | Urban鈥�=鈥�1, rural鈥�=鈥�0 | 82,113 | 0.470 | 0.499 | 0 | 0 | 1 | |
Education level | 0鈥�=鈥塱濒濒颈迟别谤补迟别/蝉别尘颈-濒颈迟别谤补迟别 | 82,113 | 0.224 | 0.417 | 0 | 0 | 1 | |
1鈥�=鈥塸rimary school | 82,113 | 0.215 | 0.411 | 0 | 0 | 1 | ||
2鈥�=鈥塲unior high/middle school | 82,113 | 0.308 | 0.462 | 0 | 0 | 1 | ||
3鈥�=鈥塰igh school | 82,113 | 0.15 | 0.357 | 0 | 0 | 1 | ||
4鈥�=鈥塩ollege and above | 82,113 | 0.102 | 0.303 | 0 | 0 | 1 | ||
Marriage | 1鈥�=鈥塰ave a spouse (married or cohabitating), 0鈥�=鈥塪on鈥檛 have a spouse (unmarried, divorced, or widowed) | 82,113 | 0.869 | 0.337 | 0 | 1 | 1 | |
Occupation | 0鈥�=鈥塽苍别尘辫濒辞测别诲 | 82,113 | 0.228 | 0.42 | 0 | 0 | 1 | |
1鈥�=鈥塯overnment officials, representatives of groups such as the Communist Party and the masses, enterprise and public institution managers | 82,113 | 0.021 | 0.143 | 0 | 0 | 1 | ||
2鈥�=鈥塸rofessional technicians | 82,113 | 0.051 | 0.22 | 0 | 0 | 1 | ||
3鈥�=鈥塩lerical and related personnel | 82,113 | 0.042 | 0.201 | 0 | 0 | 1 | ||
4鈥�=鈥塩ommercial and service industry personnel | 82,113 | 0.123 | 0.328 | 0 | 0 | 1 | ||
5鈥�=鈥塮armers, foresters, animal breeders, fishermen, and people engaged in water conservancy | 82,113 | 0.331 | 0.47 | 0 | 0 | 1 | ||
6鈥�=鈥塷perators and related personnel of production and transportation equipment | 82,113 | 0.174 | 0.379 | 0 | 0 | 1 | ||
7鈥�=鈥尘颈濒颈迟补谤测 | 82,113 | 0.0001 | 0.009 | 0 | 0 | 1 | ||
8鈥�=鈥塷ther groups that are difficult to classify | 82,113 | 0.013 | 0.111 | 0 | 0 | 1 | ||
9鈥�=鈥塻elf-employed entrepreneurs | 82,113 | 0.019 | 0.135 | 0 | 0 | 1 | ||
Ethnicity | 0鈥�=鈥塶on-Han, 1鈥�=鈥塇an | 82,113 | 0.899 | 0.301 | 0 | 1 | 1 | |
Smoker | 1鈥�=鈥墆es, 0鈥�=鈥塶o | 82,113 | 0.312 | 0.463 | 0 | 0 | 1 | |
Wine | 1鈥�=鈥塈n the past month, if you drank alcohol 3 times or more per week, 0鈥�=鈥塱f otherwise | 82,113 | 0.162 | 0.368 | 0 | 0 | 1 | |
Retire | 1鈥�=鈥墆es, 0鈥�=鈥塶o | 82,113 | 0.102 | 0.303 | 0 | 0 | 1 | |
Self-rated health (SRH) | 1鈥�=鈥塿ery healthy, 2鈥�=鈥塰ealthy, 3鈥�=鈥塺elatively healthy, 4鈥�=鈥塧verage, 5鈥�=鈥塽nhealthy | 82,113 | 3.008 | 1.207 | 1 | 3 | 5 | |
FZ | Family size, square root of family size | 82,113 | 2.056 | 0.451 | 1 | 2 | 4.359 | |
Mechanism variables | Processed food | Ate processed food in the last week, 1鈥�=鈥墆es, 0鈥�=鈥塶o | 42,902 | 0.290 | 0.454 | 0 | 0 | 1 |
Meat | Ate meat in the last week, 1鈥�=鈥墆es, 0鈥�=鈥塶o | 42,902 | 0.860 | 0.347 | 0 | 1 | 1 | |
Seafood | Ate seafood in the last week, 1鈥�=鈥墆es, 0鈥�=鈥塶o | 42,902 | 0.567 | 0.495 | 0 | 1 | 1 | |
Pickled food | Ate pickled food in the last week, 1鈥�=鈥墆es, 0鈥�=鈥塶o | 42,447 | 0.474 | 0.499 | 0 | 0 | 1 | |
Dining out spending | Monthly spending on dining out per capita (thousands) | 81,529 | 0.063 | 0.240 | 0 | 0 | 18.570 | |
Non-medical HE | Monthly non-medical health expense per capita (thousands) | 81,983 | 0.065 | 0.494 | 0 | 0 | 42.990 | |
Exercise | 1鈥�=鈥塭xercised in the past week, 0鈥�=鈥塱f otherwise | 82,113 | 0.406 | 0.491 | 0 | 0 | 1 |