Dietary Patterns in New Zealand Women: Evaluating Differences in Body Composition and Metabolic Biomarkers

• Published in: Nutrients Vol. 11; no. 7; p. 1643
• Main Authors: Jayasinghe, Shakeela N, Breier, Bernhard H, McNaughton, Sarah A, Russell, Aaron P, Della Gatta, Paul A, Mason, Shaun, Stonehouse, Welma, Walsh, Daniel C I, Kruger, Rozanne
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.07.2019; MDPI
• Subjects: Adult; Biomarkers; Biomarkers - blood; Body composition; Body Composition - physiology; Diet - standards; Diet Surveys; dietary patterns; Energy Intake; Fast food; Female; Food Preferences; Humans; macronutrient intake; metabolic biomarkers; New Zealand; Nutrients; Oceanic Ancestry Group; premenopausal women; refined and processed foods; New Zealand; premenopausal women; refined and processed foods; body composition; metabolic biomarkers; macronutrient intake; dietary patterns
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu11071643

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 ( < 0.001), and lower plasma ghrelin levels ( < 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.