Table 3.
Regression analysis of the relationship between educational attainment and lifestyle
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
|---|---|---|---|---|---|---|
| Exercise time | Sleeping time | Overtime | Leisure time | Housework time | Protein intake | |
| Educational attainment | 0.061*** | –0.007*** | –0.616*** | 0.150*** | –0.011*** | 0.036*** |
| (0.001) | (0.001) | (0.024) | (0.009) | (0.002) | (0.003) | |
| CPC member (ref: no) | 0.304*** | –0.005 | –2.874*** | –0.162 | –0.055* | 0.172*** |
| (0.020) | (0.017) | (0.334) | (0.115) | (0.029) | (0.046) | |
| Marital status (ref: not married) | –0.281*** | –0.069*** | 1.907*** | –0.676*** | 0.492*** | 0.678*** |
| (0.015) | (0.012) | (0.245) | (0.086) | (0.021) | (0.026) | |
| Gender (ref: female) | –0.006 | 0.112*** | 3.394*** | 0.844*** | –1.065*** | –0.034 |
| (0.012) | (0.010) | (0.185) | (0.067) | (0.017) | (0.023) | |
| Age | 0.034*** | –0.018*** | –0.084*** | 0.086*** | 0.005*** | 0.007*** |
| (0.000) | (0.000) | (0.008) | (0.003) | (0.001) | (0.001) | |
| Residence area (ref: rural) | 0.352*** | –0.149*** | –1.788*** | 0.930*** | –0.099*** | 0.487*** |
| (0.012) | (0.010) | (0.187) | (0.069) | (0.017) | (0.025) | |
| Income level (ref: Low-income group) | ||||||
| Middle-income group | 0.116*** | –0.115*** | 4.050*** | 1.074*** | 0.006 | 0.262*** |
| (0.015) | (0.012) | (0.247) | (0.085) | (0.020) | (0.028) | |
| High-income group | 0.268*** | –0.134*** | 2.778*** | 1.278*** | –0.162*** | 0.287*** |
| (0.017) | (0.014) | (0.263) | (0.093) | (0.022) | (0.032) | |
| Occupational type (ref: professional technicians and managers) | ||||||
| Business service workers and office workers | –0.018 | –0.013 | 1.384*** | 1.318*** | 0.086** | –0.222*** |
| (0.024) | (0.018) | (0.324) | (0.123) | (0.036) | (0.058) | |
| Production workers | –0.266*** | 0.019 | 0.322 | 0.691*** | 0.055 | –0.663*** |
| (0.024) | (0.019) | (0.328) | (0.128) | (0.036) | (0.057) | |
| Farmers and the unemployed | –0.020 | 0.035* | –0.601* | 2.639*** | 0.681*** | –0.160*** |
| (0.023) | (0.018) | (0.345) | (0.123) | (0.034) | (0.056) | |
| Geographic location (ref: western China) | ||||||
| Central China | –0.109*** | –0.271*** | 0.278 | 0.769*** | –0.339*** | 0.269*** |
| (0.015) | (0.012) | (0.228) | (0.084) | (0.021) | (0.028) | |
| Eastern China | –0.171*** | –0.365*** | –0.530** | 1.168*** | –0.303*** | 0.497*** |
| (0.014) | (0.012) | (0.213) | (0.079) | (0.020) | (0.027) | |
| Year | ||||||
| 2014 | –0.156*** | –12.153*** | –0.002 | |||
| (0.017) | (0.250) | (0.026) | ||||
| 2016 | 0.184*** | –0.056*** | –10.160*** | 0.161* | –0.087*** | |
| (0.017) | (0.012) | (0.306) | (0.084) | (0.025) | ||
| 2018 | 0.233*** | –0.112*** | –10.513*** | –1.117*** | 0.101*** | |
| (0.018) | (0.013) | (0.252) | (0.087) | (0.027) | ||
| 2020 | –0.615*** | –0.330*** | –9.993*** | –2.563*** | 0.264*** | –0.338*** |
| (0.020) | (0.014) | (0.271) | (0.096) | (0.019) | (0.029) | |
| Constant | 0.713*** | 9.146*** | 35.140*** | 2.844*** | 1.962*** | 0.548*** |
| (0.038) | (0.030) | (0.601) | (0.206) | (0.051) | (0.077) | |
| Observations | 137,952 | 104,808 | 55,206 | 105,018 | 56,913 | 80,591 |
| R-squared | 0.089 | 0.056 | 0.086 | 0.042 | 0.149 | |
Standard errors in parentheses: ***p < 0.01, **p < 0.05, *p < 0.1; Models 1–5 used multiple linear regression analysis, while Model 6 used binary logistic regression analysis.