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. Author manuscript; available in PMC: 2013 Jul 26.
Published in final edited form as: Soc Sci Med. 2009 Nov 10;70(3):412–419. doi: 10.1016/j.socscimed.2009.10.028

Table 3.

Results of Dynamic Logistic Regressions and Fixed-effect Logistic Regression of Physical Health Status: IFLS 1997–2000.

Dependent variables (health outcomes) Dynamic models Fixed-effect models

OR a (95% CI)
Labor migrants
OR b (95% CI)
Other types of migrants
OR a (95% CI)
Labor migrants
OR b (95% CI)
Other types of migrants
Self-reported poor health 0.67 (0.29, 1.55) 1.11 (0.58, 2.15) 1.42 (0.25, 8.01) 1.19 (0.42, 3.37)
Problem with ADL 0.98 (0.59, 1.62) 1.35 (0.88, 2.05) 1.99 (0.61, 6.52) 1.04 (0.52, 2.10)
Minor Morbidities last month 1.76 * (1.01, 3.07) 0.97 (0.61, 1.52) 1.15 (0.50, 2.68) 0.73 (0.36, 1.48)
Hypertension 1.06 (0.56, 2.00) 0.86 (0.52, 1.44) 0.72 (0.28, 1.87) 0.71 (0.29, 1.69)
Anemia 1.06 (0.65, 1.75) 0.89 (0.57, 1.39) 1.06 (0.46, 2.43) 0.90 (0.47, 1.71)
Underweight 0.83 (0.37, 1.91) 1.71 (0.94, 3.10) 0.63 (0.19, 2.14) c 0.93 (0.34, 2.60) d
N 5,380 5,392

Note: Adjusted odds ratios and confidence intervals are shown. The first two columns present results from dynamic models predicting physical health in 2000 on rural-urban migration status between 1997–2000, controlling for initial health status 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.

a

The regression models compare each health outcome between rural-urban labor migrants and rural non-migrants, with the latter being the reference category.

b

The regression models compare each health outcome between rural-urban migrants for other purposes and rural non-migrants, with the latter being the reference category.

c

The sample sizes of the fixed-effect models are reduced by design and vary by health outcomes. They are, respectively, 1518, 2686, 2448, 1756, 2766, and 1030.

d

The sample sizes of the fixed-effect models are reduced by design and vary by health outcomes. They are, respectively, 1538, 2732, 2468, 1764, 2800, and 1042.

*

p value < 0.05