[Infertility rate in married couples of reproductive age in China: a systematic review and meta-analysis].

OBJECTIVE: To estimate the infertility rates and to examine factors that contribute to the variations in infertility rates among studies. METHODS: Wanfang, CQVIP, CNKI, and PubMed Database were searched for infertility relevant population-based prevalence studies between 1980 and 2012. Meta-analysis and meta-regression were used to calculate the pooled size of effect and to identify the sources of variation. RESULTS: A total of 27 articles using data from regional surveys were included in the review. Results showed that the combined prevalence was 5.7% (95% CI: 5.3%-6.1%). Combined prevalence rates of 1-year and 2-year infertility in newly married couples were 12.5% (95% CI: 9.5%-15.4%) and 6.6% (95% CI: 4.9%-8.4%), respectively, while were respectively 6.4% (95% CI: 4.2%-8.6%) and 3.0% (95% CI: 2.6%-3.3%), in women of reproductive age. Results from Meta-regression showed that the prevalence of 2-year infertility was lower than that of 1-year while infertility in regions was seen higher under the poor socioeconomic condition than in the better regions. Infertility in studies using cohort or prospective studies was seen to be higher than in other studies. CONCLUSION: Owing to the inconsistency in determining the numerator and denominator that were used to calculate the prevalence of infertility as well as the inconsistency in criteria used to define the infertility, an agreed definition on infertility needs to be followed, in order to facilitate the comparison among studies.

[Determinants of self-rated health in old people].

OBJECTIVE: To describe the status of self-rated health (SRH) among the elderly and find out the relationship between SRH and other health measures such as two weeks prevalence and chronic disease prevalence. METHODS: The data used was generated from cross-sectional household health survey conducted in the year of 2009 in Shunyi district, Beijing. SPSS software was used to conduct univariate and multivariate liner regression analysis with self-rated health. RESULTS: The average score of self-rated health among the elderly is 72.49. Univariate analyses suggest that are age, sex, marital status, income level, education, employment, medical insurance type, self-perceived anxious or depression, disease state are all associated with poor SRH score. Multiple liner regression model shows that age, job, medical insurance, self-perceived anxious or depression, suffer from two-week illness and chronic disease had effects on SRH of the elderly. CONCLUSION: Physical and psychological unhealthy are independent risk factors of SRH among the elderly, disease status is the most influential predictor on SRH score. Thus, a single measurement of SRH question can be used in health status assessment of the elderly.