OBJECTIVES: We examined trajectories across adolescence and early adulthood for 2 major dietary patterns and their associations with childhood and parental factors.

METHODS: Using data from the Western Australian Pregnancy Cohort (Raine Study), intakes of 38 food groups were estimated at ages 14, 17, 20 and 22 y in 1414 participants using evaluated FFQs. Using factor analysis, 2 major dietary patterns (healthy and Western) were consistently identified across follow-ups. Sex-specific group-based modeling assessed the variation in individual dietary pattern z scores to identify group trajectories for each pattern between ages 14 and 22 y and to assess their associations with childhood and parental factors.

RESULTS: Two major trajectory groups were identified for each pattern. Between ages 14 and 22 y, a majority of the cohort (70% males, 73% females) formed a trajectory group with consistently low z scores for the healthy dietary pattern. The remainder had trajectories showing either declining (27% females) or reasonably consistent healthy dietary pattern z scores (30% males). For the Western dietary pattern, the majority formed trajectories with reasonably consistent average scores (79% males, 81% females) or low scores that declined over time. However, 21% of males had a trajectory of steady, marked increases in Western dietary pattern scores over time. A lower maternal education and higher BMI (in kg/m2) were positively associated with consistently lower scores of the healthy dietary pattern. Lower family income, family functioning score, maternal age, and being in a single-parent family were positively related to higher scores of the Western dietary pattern.

METHODS: There were 307 undergraduate nursing students who participated in the cross-sectional methodological study, from December 2022 to January 2023. Content validity, Construct validity and reliability of the APSQ-III was evaluated.

RESULTS: In the exploratory factor analysis, three factors were identified from 11 items, accounting for 58% of the total variance. The confirmatory factor analysis indices confirmed the model fit (χ2(38) = 91.851, p factors demonstrated a satisfactory level of internal consistency, as evidenced by Cronbach's alpha (α) and McDonald's omega (ω) values. Additionally, the Composite Reliability (CR) and Maximal Reliability H were both above 0.8, further supporting the reliability of the factors.

METHODS: The questionnaire (RPDM) was developed based on the Health Belief Model and previous literature. A 59-item question pool was initially developed, reviewed by experts for content validity and pretested on five respondents. Different samples were used for pilot study (n = 100) and subsequent validation study (n = 158). Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were used to evaluate construct validity and construct reliability of the questionnaire.

RESULTS: The EFA yielded five-factors model, including 48 items with good factor loadings of > 0.40. CFA was carried out using item parceling. The final model shows acceptable model fit and had sufficient convergent and discriminant validity. The value of construct reliability ranged between 0.76 and 0.90.

METHOD: Guidelines for the process of cross-cultural adaptations of assessment measures were implemented. A sample of 303 young military recruits participated in the study. Factor structure, reliability, and validity of scores on the PCS-MY were examined. Convergent validity was investigated with the Positive and Negative Affect Scale, Short-form 12 version 2, and Ryff's Psychological Well-being Scale.

RESULTS: Most participants were men, ranging in age from 19 to 26. The reliability of the PCS-MY scores was adequate (α = 0.90; mean inter-item correlation = 0.43). Confirmatory factor analysis showed that a modified version of the PCS-MY provided best fit estimates to the sample data. The PCS-MY total score was negatively correlated with mental well-being and positively correlated with negative affect (all ps < 0.001).