In contrast, we have previously demonstrated that overall diet quality measured using the ARFS did not predict weight gain in a sub-sample of middle-aged women from the ALSWH .
Therefore, the aim of this study was to investigate the relationship between diet quality and weight gain in young women from the ALSWH, using three different diet quality indices, ARFS, Australian-DQI (Aus-DQI), and the Fruit and Vegetable Index (FAVI).
The population is a subset from the ALSWH cohort study.
The highest qualification obtained was self-reported as "no formal qualifications," "school certificate," "higher school certificate," "trade/apprenticeship," "university degree or higher university degree." Numbers of births were classified as: "no births," "one to two births," and " [greater than or equal to] three births." The location of residence definitions used in the ALSWH dataset are taken from the ABS classifications.
(2) The second model is adjusted specifically for the most important covariates that were available in the ALSWH data set, the specifically adjusted model: adjusted for physical activity, education, number of births, location of residence, marital status, smoking, and weight at baseline.
The current study tested three different diet quality indices as predictors of weight change over the subsequent six-year period in a cohort of young women participating in the ALSWH. it demonstrated that higher scores on either a food variety and frequency index (ARFS) or an index based on fruit and vegetable variety and frequency alone (FAVI), predicted lower six-year weight gain in this group of women.
The ALSWH cohort is a representative sample of the population of Australian women, and the weight change data from the current study indicate that weight gain is common among young women.
In the ALSWH study, attrition is the most common in participants with a lower education, those not born in Australia and those with poorer health or who smoke .
A previous validation study of self-reported weight on mid-aged women from the ALSWH demonstrated that there was no clinical difference between self-reported weight and measured body weight .
The strength soft his study include the use of a healthy representative sub-sample derived from ALSWH population, with an adequate followup period.