Jöreskog-Sörbom fit indices, central and noncentral chi-square variables, structured covariance matrix, biasedness of GFI and AGFI, fit index for GLS estimate,

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Using the logistic-regression technique, a hospital-based case-control study of 177 married women with invasive squamous-cell cervical cancer and 149 hospital-visiting controls enabled evaluation of selected reproductive factors as risks. Early age at marriage was found to be the single best predictor of the disease status. However, those who married late but gave birth to a large number of children were generally found to be suffering from cervical cancer. The results support the hypothesis that it is not so much parity per se that enhances the risk, but the rapidity of multiple pregnancies that matters. Logistic analysis also revealed the independent influence of birth interval on the risk of cervical cancer. These findings warrant serious consideration in future studies, given the obvious implications for prevention. Other implications for the prevention of cervical cancer are briefly discussed.

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