PMC:4137988 / 22412-23754 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4137988","sourcedb":"PMC","sourceid":"4137988","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4137988","text":"Statistical approaches used to derive dietary patterns a posteriori have included PCA, factor analysis, cluster analysis, and to a lesser extent, reduced rank regression. Some review papers detailed each of these approaches.56,57 Different from the exploratory approaches (eg, PCA, factory analysis, and cluster analysis), reduced rank regression defines linear combinations of food intakes that maximally explain the outcome variable (eg, an asthma outcome). In other words, in contrast with PCA and factor analysis, which derive dietary patterns to maximally explain the variance in food intake among participants, reduced rank regression identifies dietary patterns to maximally explain the outcome variable. Among the studies reviewed in this paper, most used PCA, two used factor analysis, and only one in children used reduced rank regression. This may be another reason why many studies of dietary patterns using PCA or factor analysis found no associations with asthma outcomes. The appropriate statistical method should be chosen based on study objectives. In doing so, one must keep in mind that PCA, factor analysis, and cluster analysis identify existing dietary patterns while reduced rank regression is likely to yield useful information for hypothesis generation but may not describe actual intake patterns in the population.58","tracks":[{"project":"2_test","denotations":[{"id":"25143747-23865797-55576554","span":{"begin":224,"end":226},"obj":"23865797"},{"id":"25143747-24496398-55576555","span":{"begin":227,"end":229},"obj":"24496398"},{"id":"25143747-20383235-55576556","span":{"begin":1340,"end":1342},"obj":"20383235"}],"attributes":[{"subj":"25143747-23865797-55576554","pred":"source","obj":"2_test"},{"subj":"25143747-24496398-55576555","pred":"source","obj":"2_test"},{"subj":"25143747-20383235-55576556","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#d893ec","default":true}]}]}}