scholarly journals 439Reproducibility and relative validity of dietary patterns in older New Zealand adults

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Karen Mumme ◽  
Cath Conlon ◽  
Pamela von Hurst ◽  
Beatrix Jones ◽  
Jamie de Seymour ◽  
...  

Abstract Background Valid and reproducible dietary patterns (DP) are necessary to assess relationships between diet and disease. This study, Researching Eating, Activity, and Cognitive Health (REACH), assessed the reproducibility and relative validity of DPs derived from a food frequency questionnaire (FFQ) in older New Zealand adults. Methods Participants (n = 294, 70±3yrs, 37% male), completed two identical 109-item FFQs to assess reproducibility. A 4-day food record (4DFR) was used to assess relative validity. After collapsing data into 57 food groups, DPs were derived using principal component analysis. Agreement of DP loadings were assessed using Tucker’s congruence coefficient. Agreement between derived DP scores from the FFQs and 4-DFR were assessed using Spearman correlation coefficients, weighted kappa statistic, and Bland-Altman analysis. Results Three similar DPs (‘Mediterranean style’, ‘Western’ and ‘prudent’) were identified from each dietary assessment tool. Congruence coefficients between DP loadings ranged from 0.66-0.80 (reproducibility) and 0.54-0.75 (validity). Correlations of DP scores ranged from 0.47-0.59 (reproducibility) and 0.33-0.43 (validity) (all P<0.001); weighted kappa scores ranged from 0.40-0.48 (reproducibility) and 0.27-0.37 (validity); limits of agreement from ±1.79 to ± 2.09 (reproducibility) and ±2.09 to ± 2.27 (validity); a negative slope of bias was seen in the ‘prudent’ pattern for reproducibility and validity (P<0.001). Conclusions The FFQ derived DPs demonstrated acceptable reproducibility and relative validity and can be used to examine associations between DPs and health outcomes in older New Zealand adults. Key Message Valid DPs improve evidence for assessing DP and health outcome associations.

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1643 ◽  
Author(s):  
Shakeela N. Jayasinghe ◽  
Bernhard H. Breier ◽  
Sarah A. McNaughton ◽  
Aaron P. Russell ◽  
Paul A. Della Gatta ◽  
...  

The combinations of food consumed together (dietary patterns) may have a greater influence on health than nutrients or food groups consumed independently. This study investigated the relationship between dietary patterns, body composition and metabolic biomarkers of premenopausal New Zealand women from three ethnic groups. In total, 408 New Zealand European, Māori and Pacific women aged 16–45 years participated in the Women’s EXPLORE (EXamining Predictors Linking Obesity Related Elements) study. Participants completed a 220-item food frequency questionnaire. Several body composition parameters and metabolic biomarkers were measured. Dietary patterns were extracted by principal component analysis and dietary pattern scores were categorised into tertiles to assess links with other measured parameters. Women with higher scores for the ‘refined and processed’ pattern were younger, had higher body mass index, total body fat, plasma leptin and plasma insulin (p < 0.001), and lower plasma ghrelin levels (p < 0.05) than women with lower scores. In addition, more Māori (51%) and Pacific (68%) women followed the ‘refined and processed’ pattern, while more New Zealand European women (40%) followed the ‘sweet and savoury snacking’ pattern. These data show that dietary pattern analysis is a useful tool to assess links between diet and metabolic health. It further reveals interesting ethnic group-specific differences in dietary pattern use.


2010 ◽  
Vol 13 (7) ◽  
pp. 1080-1089 ◽  
Author(s):  
Hitomi Okubo ◽  
Kentaro Murakami ◽  
Satoshi Sasaki ◽  
Mi Kyung Kim ◽  
Naoko Hirota ◽  
...  

AbstractObjectiveAlthough dietary pattern approaches derived from dietary assessment questionnaires are widely used, only a few studies in Western countries have reported the validity of this approach. We examined the relative validity of dietary patterns derived from a self-administered diet history questionnaire (DHQ) among Japanese adults.DesignThe DHQ, assessing diet during the preceding month, and 4 d dietary records (DR) were collected in each season over one year. To derive dietary patterns, 145 food items in the DHQ and 1259 in the DR were classified into thirty-three predefined food groups, and entered into a factor analysis.SettingThree areas in Japan; Osaka (urban), Nagano (rural inland) and Tottori (rural coastal).SubjectsA total of ninety-two Japanese women and ninety-two Japanese men aged 31–76 years.ResultsWe identified three dietary patterns (‘healthy’, ‘Western’ and ‘Japanese traditional’) in women and two (‘healthy’ and ‘Western’) in men, which showed a relatively similar direction and magnitude of factor loadings of food groups across the first and mean of four DHQ (DHQ1 and mDHQ, respectively) and 16 d DR. The Pearson correlation coefficients between DHQ1 and 16 d DR for the healthy, Western and Japanese traditional patterns in women were 0·57, 0·36 and 0·44, and for the healthy and Western patterns in men were 0·62 and 0·56, respectively. When mDHQ was examined, the correlation coefficients improved for women (0·45–0·69).ConclusionsDietary patterns derived from the DHQ could be used for epidemiological studies as surrogates of those derived from DR.


Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 159 ◽  
Author(s):  
Liisa Korkalo ◽  
Henna Vepsäläinen ◽  
Carola Ray ◽  
Essi Skaffari ◽  
Reetta Lehto ◽  
...  

The accurate assessment of food consumption is crucial in nutritional studies. Since modern nutrition science has become more interested in diet as a whole, studies validating food frequency questionnaires (FFQs) and exploratory dietary patterns are needed. We aimed at examining the relative validity of a 47-item FFQ against three-day food records among three- to six-year-old Finnish children, as well as investigating the consistency of the dietary patterns derived using the principal component analysis (PCA), with food record and FFQ data as inputs. We conducted the PCA without forcing the food record data to match the FFQ items. Altogether, 75% or more of the participants were classified into the same or adjacent quarter of vegetables and fruits as well as sugary food consumption. Furthermore, the intake of folate and vitamin C increased linearly in the quarters of vegetable and fruit consumption, as did the intake of sucrose in quarters of sugary food consumption. Three fairly similar dietary patterns were identified from food records and FFQ data. Concerning the patterns, more than 70% of the participants were classified into the same or adjacent quarter. However, the Spearman correlation coefficients between the respective pattern scores were low (0.25–0.33). The FFQ showed acceptable validity when ranking food group consumption compared to food records. Additionally, the FFQ-derived dietary patterns were consistent with those derived using food record data.


Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1579
Author(s):  
Sophie Hellstrand ◽  
Filip Ottosson ◽  
Einar Smith ◽  
Louise Brunkwall ◽  
Stina Ramne ◽  
...  

Irregular dietary intakes impairs estimations from food records. Biomarkers and method combinations can be used to improve estimates. Our aim was to examine reproducibility from two assessment methods, compare them, and validate intakes against objective biomarkers. We used the Malmö Offspring Study (55% women, 18–71 y) with data from a 4-day food record (4DFR) and a short food frequency questionnaire (SFFQ) to compare (1) repeated intakes (n = 180), (2) intakes from 4DFR and SFFQ (n = 1601), and (3) intakes of fatty fish, fruits and vegetables, and citrus with plasma biomarkers (n = 1433) (3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid [CMPF], β-carotene and proline betaine). We also combined 4DFR and SFFQ estimates using principal component analysis (PCA). Moderate correlations were seen between repeated intakes (4DFR median ρ = 0.41, SFFQ median ρ = 0.59) although lower for specific 4DFR-items, especially fatty/lean fish (ρ ≤ 0.08). Between-method correlations (median ρ = 0.33) were higher for intakes of overall food groups compared to specific foods. PCA scores for citrus (proline betaine ρ = 0.53) and fruits and vegetables (β-carotene: ρ = 0.39) showed the highest biomarker correlations, whereas fatty fish intake from the SFFQ per se showed the highest correlation with CMPF (ρ = 0.46). To conclude, the reproducibility of SFFQ data was superior to 4DFR data regarding irregularly consumed foods. Method combination could slightly improve fruit and vegetable estimates, whereas SFFQ data gave most valid fatty fish intake.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maria J. Miele ◽  
Renato T. Souza ◽  
Iracema M. Calderon ◽  
Francisco E. Feitosa ◽  
Débora F. Leite ◽  
...  

AbstractAssessment of human nutrition is a complex process, in pregnant women identify dietary patterns through mean nutrient consumption can be an opportunity to better educate women on how to improve their overall health through better eating. This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous pregnant women. The principal component analysis (PCA) technique was performed, with Varimax orthogonal rotation of data extracted from the 24-h dietary recall, applied at 20 weeks of gestation. We analysed 1.145 dietary recalls, identifying five main components that explained 81% of the dietary pattern of the sample. Dietary patterns found were: Obesogenic, represented by ultra-processed foods, processed foods, and food groups rich in carbohydrates, fats and sugars; Traditional, most influenced by natural, minimally processed foods, groups of animal proteins and beans; Intermediate was similar to the obesogenic, although there were lower loads; Vegetarian, which was the only good representation of fruits, vegetables and dairy products; and Protein, which best represented the groups of proteins (animal and vegetable). The obesogenic and intermediate patterns represented over 37% of the variation in food consumption highlighting the opportunity to improve maternal health especially for women at first mothering.


2020 ◽  
Author(s):  
Adi Lukas Kurniawan ◽  
Chien-Yeh Hsu ◽  
Hsiu-An Lee ◽  
Hsiao-Hsien Rau ◽  
Rathi Paramastri ◽  
...  

Abstract Background: Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (MetS) using two methods for identifying dietary patterns.Methods: The participants (n = 25,569) aged ≥ 40 years with impaired kidney function were retrieved from Mei Jau (MJ) Health Screening database from 2008 to 2010. Dietary patterns were identified by principal component analysis (PCA) and reduced rank regression (RRR) from twenty-two food groups using PROC FACTOR and PROC PLS functions.Results: We identified two similar dietary pattern characteristics (high intakes of deep fried foods, preserved or processed foods, dipping sauce, meat, sugary drinks, organ meats, jam/honey, fried rice/flour products, instant noodles and eggs) derived by PCA and RRR. Logistic regression analysis revealed that RRR-derived dietary pattern scores were positively associated with an odds ratio (OR = 1.70, 95% CI: 1.56, 1.86) of having MetS than PCA-derived dietary pattern scores (OR = 1.38, 95% CI: 1.27, 1.51). The correlations between RRR-derived dietary pattern scores and elevated systolic and diastolic blood pressure (OR = 1.30 for both) or low high density lipoprotein cholesterol in women (OR = 1.32) were statistically significant but not significant in PCA-derived dietary pattern scores.Conclusions: Our findings suggest that RRR gives better results when studying behavior related dietary patterns in association with MetS. RRR may be more preferable to provide dietary information for developing dietary guidelines among people with MetS. Further studies with prospective measurements are needed to verify whether RRR is a useful analytic tool for the association between dietary patterns and other chronic diseases.


2015 ◽  
Vol 115 (4) ◽  
pp. 551-558 ◽  
Author(s):  
Virginia C. Mills ◽  
Paula M.L. Skidmore ◽  
Emily O. Watson ◽  
Rachael W. Taylor ◽  
Elizabeth A. Fleming ◽  
...  

2016 ◽  
Vol 20 (3) ◽  
pp. 565-570 ◽  
Author(s):  
Charlotte EL Evans ◽  
Janet E Cade

AbstractObjectiveIn England, standards for school meals included both foods and nutrients until 2015. School policies for packed lunches are generally food based; research is needed to determine whether these are adequate or whether a small number of nutrients would potentially improve their quality.DesignFrom dietary data obtained using a weighed dietary assessment tool, a diet quality score (DQS) for packed lunches was calculated using the number of standards met out of twenty-one (eight foods and thirteen nutrients). Multilevel regression analysis determined the foods and nutrients contributing to variation in the DQS.SettingEighty-nine primary schools across the four regions of the UK (England, Wales, Scotland and Northern Ireland).SubjectsBritish schoolchildren (n 1294), aged 8–9 years, taking a packed lunch.ResultsThe optimal model included all eight foods and seven of the thirteen nutrients, explaining 72 % of the variance in DQS. Folate, Fe and vitamin C, together with the eight food groups, explained 70 % of DQS variation.ConclusionsIdeally, policies for school packed lunches should include food-based standards plus recommendations based on a small number of nutrients.


Proceedings ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 53
Author(s):  
Amy Judd ◽  
Kathryn Beck ◽  
Chris McKinlay ◽  
Cathryn Conlon

Background: Dietary assessment in infants is challenging but necessary to understand therelationship between nutrition and growth and development [...]


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