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shorten the following to 100 words. They calculated the weighted averages, prevalences, and standard deviations, categorized by whether individuals participated in DSME, using weighting factors
shorten the following to 100 words. "They calculated the weighted averages, prevalences, and standard deviations, categorized by whether individuals participated in DSME, using weighting factors derived from the national population statistics as of December 31, 2014. This method considered the multi-stage sampling of the GEDA 2014/2015-EHIS survey and helped us to address potential biases in sample selection related to gender, age, type of community, and education level. We conducted weighted logistic regression analyses, using DSME participation as a predictor for all studied SMB and clinical care variables, which were used as outcomes. We gradually included the sociodemographic and disease-related confounders in these analyses. All data was analyzed in relation to the final multivariable models. All these analyses were conducted using STATA version 16.1
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