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RESEARCH AND PRACTICE |
At the time of the study, Jing Wu and Zhu Li were with the Institute of Reproductive and Child Health, Peking University, Beijing, People’s Republic of China; Yuanli Liu was with the School of Public Health, Harvard University, Boston, Mass; Keqin Rao and Juncheng Qian were with the Center for Health Statistics Information, Ministry of Health, China; and Qi Sun was with the School of Public Health, Peking University.
Correspondence: Requests for reprints should be sent to Jing Wu, MD, MPH, Institute of Reproductive and Child Health, Peking University, 38 Xue Yuan Rd, Haidian District, Beijing, People’s Republic of China (e-mail: wujing_99{at}yahoo.com).
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ABSTRACT |
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 TOP ABSTRACT INTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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We investigated gender differences in education-related health inequalities in rural China. Household interview data were obtained from 6 provinces in 1993 and 2001. Remarkable health inequalities existed and favored the higher educational groups; among women, the inequalities were greater and health inequalities increased from 1993 to 2001. Education serves as a more powerful mediating factor for health inequalities among women than among men in rural China.
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INTRODUCTION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Over the past several decades, China has significantly improved the education of its people. From 1990 to 2000, the illiteracy rate decreased from 15.88% to 6.72%.12 Meanwhile, China’s overall health status has improved. For example, the infant mortality rate decreased from 50.2
in 1990 to 32.2 in 2000.13 However, less well known are the situations pertaining to health inequalities in China. Although the general social status of Chinese women has improved over the years,14 little is known about the role of gender in health inequalities, especially among rural populations.
To help fill gaps in the literature, we examined gender differences in education-related health inequalities and the time trend among Chinese rural residents and studied the role of education as a mediating factor for health inequalities.
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METHODS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Representative samples in rural areas were studied from 3 northern provinces (Hebei, Shanxi, and Gansu) and 3 southern provinces (Hubei, Zhejiang, and Guangdong). The major demographic and social characteristics of samples from the same province were comparable across 1993 and 2001. In 1993, 10662 respondents and in 2001, 9196 respondents aged 15 years and older were included in the current study.
Variables
Individuals were ranked by their educational levels: "basic" is equivalent to less than 5 years of education; "secondary" is equivalent to 5 years; "third" is equivalent to an average of 6 to 9 years; and "highest" is equivalent to an average of 9 years or more.
Other major socioeconomic variables were defined. Current occupational status was classified in 5 groups: farmers, nonagricultural workers, housekeepers, the unemployed, and others. The income criterion was based on per capita household income and divided into quintiles.
Health status was measured by the 6-month rate of chronic diseases. Because chronic illnesses may be related to lifestyle and health care access, we also analyzed the effect of education-related differences in lifestyles (e.g., smoking rate) on education-related health equalities and health care access as reflected by foregone hospitalization.
Associational Analysis
We age-standardized 2 samples from 1993 and 2001 with China’s 1990 census data. The association between educational level and health outcome was assessed with logistic regression models, which controlled for income quintile, occupational status, and age. The adjusted odds ratio reflected the effect of education on health outcome.
We used the Relative Inequality Index, which is based on logistic regression, as the measure of health inequalities.17,18 Relative changes between 1993 and 2001 were measured by fitting logistic regression models that combined both surveys.19 In addition to age and socioeconomic variables, interaction terms of educational levels and the year of the survey were included in the models so that the odds ratio could indicate relative changes between years.
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RESULTS |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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. People with lower educational levels clearly had a greater disposition for illness. Results of the Relative Inequality Index indicated that health inequalities among women were greater, and gender differences increased in 2001. Relative changes suggested that the health dissimilarity between bottom and top educational level increased for women from 1993 to 2001.
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presents differences in lifestyles and health care use by educational level. The rate of unhealthy lifestyle, such as smoking and drinking, decreased with educational attainment. Similarly, the foregone hospitalization rate was lower in higher education groups with healthy lifestyles. In general, differences in health-related behaviors between top and bottom educational level were more significant among women in 2001 than in 1993.
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DISCUSSION |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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Following the literature on health-related behaviors,6,25,27 we analyzed education-related differences in lifestyles, such as smoking, drinking, and physical exercise, and in health care use (Table 2
). Although higher educational levels generally correlate with less frequent risky behavior (e.g., smoking, drinking), more frequent physical exercise, and higher health care use rate, the most striking finding was on the interaction of education, gender, and smoking behavior. We found that rural Chinese women had a significantly lower smoking rate than did men, consistent with other literature,28 which may be related to the fact that Chinese women are more price-sensitive than men, quite contrary to the findings from the United States and other countries.29,30 Moreover, the gender difference could stem from broader differences in willingness to incur health risks.31
On the basis of our analysis, especially on smoking behavior, we speculate that one of the possible reasons for the observed larger education-related health inequalities among women might be the stronger educational effect on healthy behaviors among women than among men. In the Chinese cultural context, especially in rural China, differential social roles and constraints still exist in women and men, a fact that might help modify the effect of education on healthy behaviors. For example, cessation rates, or interest in quitting smoking, are very low among Chinese men. According to the National Prevalence Study, only 2.3% of the respondents were former smokers, and only 9.4% of the current smokers were at some stage of trying to quit.29 The recalcitrance of men to the notion of quitting has a cultural underpinning. For instance, gift giving among relatives, friends, and business partners is an important part of Chinese tradition. With some regional exceptions, cigarettes and liquor remain the 2 most popular gift items.
Because of data limitations, our results are indicative, not conclusive. Uncertainties remain in the causality of the education-related health inequalities and gender differences. It would be interesting for future studies not only to test the reproducibility of our results but also to examine pathways through which education helps women to modify their health determinants. Nonetheless, given the inherent values of education for women, as reflected in the Millennium Development Goals32 pertaining to education and gender equality, our results seem to highlight the instrumental values of improving education for women to reduce health inequalities and improve population health.
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Acknowledgments |
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We appreciate the able assistance and useful comments from Rongwei Ye and Chunyu Li of Peking University.
Note. The authors are responsible for the contents of this brief.
Human Participant Protection
No protocol approval was needed for this study.
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Footnotes |
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Accepted for publication May 29, 2004.
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References |
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TOPABSTRACTINTRODUCTIONMETHODSRESULTSDISCUSSIONReferences |
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7. Mackenbach JP, Kunst AE, Cavelaars A, et al. Socioeconomic inequalities in morbidity and mortality in Western Europe. Lancet. 1997;349:1655–1659.[ISI][Medline]
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