Table 4.
Dependent variables (intermediate health- related outcomes) | Dynamic models | Fixed-effect models | ||
---|---|---|---|---|
| ||||
OR or b
a (95% CI) Labor migrants |
OR b or b (95% CI) Other types of migrants |
OR or b
a (95% CI) Labor migrants |
OR b or b (95% CI) Other types of migrants |
|
Economic status and work stressors | ||||
Log (per capita HH annual income) c | 0.97 *** (0.49, 1.53) | −5.12 *** (−6.38, −3.86) | 1.24 * (0.29, 2.20) | −5.37 *** (−6.32, −4.42) |
Usual weekly hours worked last yr c, d | 13.78 ** (4.99, 22.6) | 0.10 (−6.52, 6.73) | 15.24 ** (5.83, 24.65) | −0.64 (−11.12, 9.85) |
Living Standards | ||||
log(weekly per capita meat expenditure) c | −2.81 *** (−3.74, −1.87) | −2.21 *** (−3.07, −1.35) | −2.35 *** (−2.86, −1.84) | −2.02 *** (−2.51, −1.54) |
Piped water | 6.41 *** (3.97, 10.36) | 3.95 *** (2.10, 7.41) | 3.89 *** (1.90, 7.94) | 1.78 * (1.01, 3.13) |
Flush toilet | 3.44 *** (2.10, 5.65) | 2.24 ** (1.35, 3.70) | 2.74 *** (1.56, 4.80) | 1.17 (0.67, 2.01) |
Dirt floor | 0.08 ** (0.20, 0.34) | 0.09 *** (0.03, 0.32) | 0.27 † (0.07, 1.07) | 0.13 † (0.01, 1.18) |
Health-related information, investment and behaviors | ||||
HH information about local health facilities c | −1.47 *** (−1.91, −1.04) | −0.98 *** (−1.38, −0.58) | −1.40 *** (−1.79, −0.99) | −0.86 *** (−1.24, −0.48) |
Having health insurance | 4.59 *** (2.15, 9.82) | 1.59 (0.62, 4.06) | 1.75 (0.71, 4.31) | 0.97 (0.39, 2.41) |
Used preventive health care last month | 1.16 (0.78, 1.72) | 0.71 (0.44, 1.14) | 0.85 (0.28, 2.58) | 0.77 (0.25, 2.39) |
Currently smoking | 1.21 (0.67, 2.17) | 0.52 (0.23, 1.18) | 1.84 (0.76, 4.45) e | 2.03 (0.35, 11.87) f |
N | 5,380 | 5,392 |
Note: Adjusted odds ratios or linear regression coefficients and associated confidence intervals are shown. The first two columns present results from dynamic models predicting proximate health-related outcomes on rural-urban migration status between 1997–2000, controlling for initial conditions and other characteristics in 1997. Other covariates are omitted from the table (same as Table 2). The last two columns present results from the corresponding fixed-effect models, with the same set of control variables.
The regressions compare proximate health-related outcomes between rural-urban labor migrants and rural non-migrants, with the latter being the reference category.
The regressions compare proximate health-related outcomes between rural-urban migrants for other purposes and rural non-migrants, with the latter being the reference category.
Indicate dynamic linear regression models. All others are dynamic logistic regression models.
The sample size is 3,186 because the question is restricted to respondents who were currently working at the time of the interview.
The sample sizes of the fixed-effect models are reduced by design and vary by health outcomes. They are, respectively, 5673, 2577, 5703, 1624, 2636, 476, 5703, 1482, 1064, and 744.
The sample sizes of the fixed-effect models are reduced by design and vary by outcomes. They are, respectively, 5771, 2569, 5720, 1640, 2632, 450, 5720, 1474, 1062, and 748.
p value < 0.001;
p value < 0.01;
p value < 0.05;
p value < 0.1