Matches in SemOpenAlex for { <https://semopenalex.org/work/W2995581390> ?p ?o ?g. }
- W2995581390 endingPage "2823" @default.
- W2995581390 startingPage "2811" @default.
- W2995581390 abstract "Background & aims There have been inconsistent findings on the association between dietary patterns and depressive symptoms (DepS). In addition, studies have used single analysis methods to identify dietary patterns. In the current study, we aimed to determine the association between dietary patterns, derived by principal component analysis (PCA), reduced-rank regressions (RRR) and partial least-squares (PLS), and DepS among adults using a cohort study in Australia. Methods We examined a total of 1743 study participants (≥24 years, 48.9% males) using cross-sectional and longitudinal data from the North West Adelaide Health Study (NWAHS). The Center for Epidemiological Studies-Depression (CES-D) scale was used to assess DepS and a score ≥16 was considered as having depression. Dietary data were collected using a food frequency questionnaire. Eicosapentaenoic acid (EPA)/Docosahexaenoic acid (DHA), folate, magnesium (Mg) and zinc (Zn) densities were chosen as the response variables for RRR and PLS analyses. Dietary patterns were identified by PCA, RRR and PLS. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated across quartiles (Q) using log-binomial logistic regression to assess the association between dietary patterns and DepS. Sensitivity analyses, including a longitudinal association between dietary patterns and DepS among 859 participants, were performed. Multiple imputation was performed to investigate the effect of missing data on the estimates. Results In this study, 16.9% (14.2% in men and 20.8% in women) of the participants had DepS. We retained two, four and four dietary patterns captured by PCA, RRR and PLS respectively. The ‘prudent’ pattern determined by PCA [ORQ4VsQ1 = 0.57; 95% CI: 0.35, 0.92] and PLS [ORQ4VsQ1 = 0.66; 95% CI: 0.43, 1.00] together with the ‘typical Australian’ pattern determined by RRR [ORQ4VsQ1 = 0.60; 95% CI: 0.40, 0.90] were inversely associated with DepS whereas the ‘western’ pattern derived by PCA [ORQ4VsQ1 = 2.04; 95% CI: 1.12, 3.68] and PLS [ORQ4VsQ1 = 1.62; 95% CI: 1.05, 2.50] was positively associated with DepS. In the longitudinal analysis, the ‘prudent’ pattern determined by PCA [ORQ4VsQ1 = 0.52; 95% CI: 0.25, 1.09] tended to be inversely associated with DepS whereas ‘western’ patterns determined by PCA [ORQ4VsQ1 = 3.47; 95% CI: 1.37, 8.78] and PLS [ORQ4VsQ1 = 2.47; 95% CI: 1.24, 4.91] were positively associated with DepS. We found that a dietary pattern characterized by high intakes of fruits, vegetables, medium fat dairy, nuts, legumes, and fish was inversely associated with DepS in this population-based study. Contrary to this, a dietary pattern characterized by high intakes of processed and red meat, fast foods (snacks and takeaway foods), soft drinks, white bread and high-fat dairy products were significantly associated with DepS. Multiple imputation and sensitivity analysis identified similar patterns of association between dietary pattern and DepS. Conclusions The findings indicate that the ‘western’ pattern was consistently associated with an increased risk, and the ‘prudent’ pattern tended to be associated with a reduced risk of DepS. This suggests that dietary interventions may assist with the treatment of DepS. However, current evidence on the impact of diet on DepS should be supported using further longitudinal studies with extended follow up, larger sample sizes and repeated measures." @default.
- W2995581390 created "2019-12-26" @default.
- W2995581390 creator A5054844551 @default.
- W2995581390 creator A5075896955 @default.
- W2995581390 creator A5080739265 @default.
- W2995581390 creator A5087178784 @default.
- W2995581390 date "2020-09-01" @default.
- W2995581390 modified "2023-10-16" @default.
- W2995581390 title "Association between dietary patterns and adult depression symptoms based on principal component analysis, reduced-rank regression and partial least-squares" @default.
- W2995581390 cites W1535600844 @default.
- W2995581390 cites W1943583835 @default.
- W2995581390 cites W1980555794 @default.
- W2995581390 cites W1988667864 @default.
- W2995581390 cites W1989515831 @default.
- W2995581390 cites W2006524449 @default.
- W2995581390 cites W2008022725 @default.
- W2995581390 cites W2010660578 @default.
- W2995581390 cites W2011171783 @default.
- W2995581390 cites W2018883062 @default.
- W2995581390 cites W2035159571 @default.
- W2995581390 cites W2037487148 @default.
- W2995581390 cites W2039178606 @default.
- W2995581390 cites W2043057028 @default.
- W2995581390 cites W2045421129 @default.
- W2995581390 cites W2047790936 @default.
- W2995581390 cites W2049036928 @default.
- W2995581390 cites W2052445727 @default.
- W2995581390 cites W2062440540 @default.
- W2995581390 cites W2064554203 @default.
- W2995581390 cites W2066018239 @default.
- W2995581390 cites W2087243981 @default.
- W2995581390 cites W2089198100 @default.
- W2995581390 cites W2104973711 @default.
- W2995581390 cites W2107071951 @default.
- W2995581390 cites W2112778345 @default.
- W2995581390 cites W2112779575 @default.
- W2995581390 cites W2112935177 @default.
- W2995581390 cites W2114148691 @default.
- W2995581390 cites W2119754857 @default.
- W2995581390 cites W2120423982 @default.
- W2995581390 cites W2121038461 @default.
- W2995581390 cites W2127567591 @default.
- W2995581390 cites W2129295404 @default.
- W2995581390 cites W2129579709 @default.
- W2995581390 cites W2135075842 @default.
- W2995581390 cites W2135131524 @default.
- W2995581390 cites W2138629663 @default.
- W2995581390 cites W2139585594 @default.
- W2995581390 cites W2141689005 @default.
- W2995581390 cites W2152118162 @default.
- W2995581390 cites W2161400670 @default.
- W2995581390 cites W2187570021 @default.
- W2995581390 cites W2215638520 @default.
- W2995581390 cites W2277047087 @default.
- W2995581390 cites W2326268929 @default.
- W2995581390 cites W2410619384 @default.
- W2995581390 cites W2518074616 @default.
- W2995581390 cites W2575807238 @default.
- W2995581390 cites W2601460909 @default.
- W2995581390 cites W2606719128 @default.
- W2995581390 cites W2625909692 @default.
- W2995581390 cites W2735343860 @default.
- W2995581390 cites W2755799389 @default.
- W2995581390 cites W2760711213 @default.
- W2995581390 cites W2782747694 @default.
- W2995581390 cites W2804395016 @default.
- W2995581390 cites W2890874304 @default.
- W2995581390 cites W2912724961 @default.
- W2995581390 doi "https://doi.org/10.1016/j.clnu.2019.12.011" @default.
- W2995581390 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32007317" @default.
- W2995581390 hasPublicationYear "2020" @default.
- W2995581390 type Work @default.
- W2995581390 sameAs 2995581390 @default.
- W2995581390 citedByCount "19" @default.
- W2995581390 countsByYear W29955813902020 @default.
- W2995581390 countsByYear W29955813902021 @default.
- W2995581390 countsByYear W29955813902022 @default.
- W2995581390 countsByYear W29955813902023 @default.
- W2995581390 crossrefType "journal-article" @default.
- W2995581390 hasAuthorship W2995581390A5054844551 @default.
- W2995581390 hasAuthorship W2995581390A5075896955 @default.
- W2995581390 hasAuthorship W2995581390A5080739265 @default.
- W2995581390 hasAuthorship W2995581390A5087178784 @default.
- W2995581390 hasConcept C105795698 @default.
- W2995581390 hasConcept C126322002 @default.
- W2995581390 hasConcept C144024400 @default.
- W2995581390 hasConcept C149923435 @default.
- W2995581390 hasConcept C151956035 @default.
- W2995581390 hasConcept C156957248 @default.
- W2995581390 hasConcept C22354355 @default.
- W2995581390 hasConcept C33923547 @default.
- W2995581390 hasConcept C44249647 @default.
- W2995581390 hasConcept C68443243 @default.
- W2995581390 hasConcept C71924100 @default.
- W2995581390 hasConceptScore W2995581390C105795698 @default.
- W2995581390 hasConceptScore W2995581390C126322002 @default.
- W2995581390 hasConceptScore W2995581390C144024400 @default.
- W2995581390 hasConceptScore W2995581390C149923435 @default.