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Combined effect analyses showed individuals carrying more risk allele for high fasting glucose tended to have a higher glucose levels at both fasting and 2 h during OGTTs (p = 1.7×10−13 and 0.0009, respectively), as well as lower HOMA-β, insulinogenic index and both first- and second-phases insulin secretion (p = 0.0321∼1.1×10−7).
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When using meta-analyses to generate combined effect estimates for sensitivity analyses, we substituted effect estimates from the main model for cohorts missing data for the sensitivity analyses.
Two meta-analyses combined effect sizes from studies reporting safe hot tap water temperature [11,14] and one combined effect sizes from studies reporting keeping hot food and drinks out of reach [14].
Two meta-analyses combined effect sizes for having a safe hot tap water temperature, and both found a significant effect favouring the intervention group with pooled odds ratios of 2.32 (95% CI 1.46, 3.68) [11] and 1.41 (95% CI 1.07 to 1.86) [14] (Table 2).
In the same vein, we conducted sensitivity analyses for Singapore and the combined effect estimator across countries.
Combined effect estimates and heterogeneity between cohorts was calculated using fixed effects meta-analyses in R Version 2.8.1 (The R foundation for Statistical Computing, library rmeta).
Whynot compares IS to natively-occurring sign languages and analyses the distribution of linguistic elements in the IS lexicon and their combined effect on comprehension.
Combined-effects analyses were conducted according to the median-effect principle.
Thus, we analysed combined effects of education level and perceived social class on self-rated health and life satisfaction.
Analyses of combined effects in this group were not conducted owing to small numbers.
These combined effects were further explored in analyses of leisure time physical exercise stratified by diabetes status and treatment.
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