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When studies reported relative risks with different degrees of statistical adjustment for confounding, we used the most adjusted estimate.
Indeed, after adjustment for mean number of cigarettes per day, most adjusted ORs for overall lung cancers, SCC, and AC for filter cigarette smokers as compared to nonfilter or mixed cigarette smokers were slightly decreased.
We extracted measures of associations that were the most adjusted for sociodemographic and lifestyle factors, with and without further adjustment for adiposity measures.
However, we really think that a most adjusted picture to the real world involves salary workers (at least some of them) that also conceal partially their income, although in a lower degree than self-employed workers.
Using the most adjusted data, however, the risks of saturated fat were largely gone.
We also abstracted the variables that each study used in its most adjusted analysis.
Similar(15)
Tests of non-independent pairs related to level of adjustment (most-adjusted vs. least-adjusted), and to comparisons of product smoked (mixed smokers vs. cigarette only smokers, and vs. smokers of pipes/cigars only).
For diabetes-predicting depression, the least-adjusted pooled RR was 1.20 (1.06–1.36) and the most-adjusted (only two of which adjusted for adiposity) RR was 1.09 (1.09–1.09).
For studies of depression predicting diabetes, the least-adjusted RR was 1.61 (95% CI 1.38 1.88), and the most-adjusted (all 13 of which adjusted for adiposity) RR was 1.40 (1.40–1.40).
As for Table 17, the RRs are always the most-adjusted available.
For the overall data, combined over genders and races, the most-adjusted RR estimate was 0.83 (CI 0.68-1.02).
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