22%, 95% CI: 6.93–11.81%), for 40 (16.77%, 95% CI: 13.22–20.66%), for 50 (23.50%, 95% CI: 19.57–27.66%), and

for 60 (26.89%, https://www.selleckchem.com/products/CP-690550.html 95% CI: 21.11–33.09%). However, we noted the prevalence decreased by 3.5 point for the group (more than 60 years old), it is still high (23.23%, 95% CI: 20.96–26.50%). The prevalence of NAFLD for male offers upgrade firstly than descending latter tendency over age: for 18–30 13.5 % (95% CI: 10.39–16.95%), for 40 (20.31%, 95% CI: 16.05–24.94%), for 50 (27.82%, 95% CI: 23.44–32.42%), for 60 (30.09%, 95% CI: 22.33–38.48%), and for more than 60 (21.21%, 95% CI: 17.98–24.65%); the prevalence of NAFLD for female is on the rise over age, for 18–30 (4.95%, 95% CI: 3.08–7.23%), for 40 (7.76%, 95% CI: 5.22–10.75%), for 50 (14.46%, 95% CI: 10.33–19.16%), for 60 (21.43%,

95% CI: 16.49–26.84%), and for more than 60 (23.44%, 95% CI: 19.56–27.56%). Prevalence among people of facility-based and population-based were 29.93% (95% CI: 16.92–23.12%) and 20.24% (95% CI: 16.96–23.73%). For urban and rural covered in this meta-analysis, pooled prevalence were 21.83% (95% CI: 18.00–25.92%) find more and 20.43% (95% CI: 8.01–36.74%). Prevalence increases with the growth of overweight and obesity rate. For less than or equal to 20% (12.08%, 95% CI: 11.71–12.45%), for 30% (18.54%, 95% CI: 14.65–22.78%), for more than 40% (32.89%, 95% CI: 32.31–33.48%). Table 2 shows information regarding heterogeneity and publication bias. We noted significant heterogeneity within Progesterone studies and subgroups (P < 0.001, I2 = 99.0–99.8%). In univariate meta-regression analyses (data are not given), sample source, year of publication, sample size, area, gender ratio (male/female), and sample size (< 5000 vs ≥ 5000) used

to define NAFLD did not modify the estimate of prevalence. We noted that the prevalence of NAFLD increased 0.2% for each 1 year increase in the mean age of study participants (meta-regression, P = 0.021), and the prevalence of NAFLD numerically increased with an increasing proportion of male in the studies in the populations (meta-regression, P = 0.033). Begg’s funnel plot and Egger’s test were performed to assess the publication bias of literatures. As indicated in Figure 5, there exists no evidence of obvious asymmetry in the shapes of funnel plots. The modified Egger’s linear regression test (P = 0.145) showed no significant publication bias, but Begg’s test (P = 0.008) indicated that a significant publication bias was observed. At present, there is a lack of nationwide data regarding NAFLD prevalence in the mainland of China. This is the first comprehensive repot to systematically evaluate the scientific literature on the prevalence of NAFLD in China. In this comprehensive systematic review with meta-analysis of observational studies done in the mainland of China in the last almost two decades, including 48 reports and more than 350 thousand individuals.