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• W4295432910 abstract "Abstract Background Previous studies have shown the association of a number of dietary quality scores with metabolically phenotypes of obesity. Recently, the Lifelines Diet Score (LLDS), which is a fully food-based score based on the 2015 Dutch dietary guidelines and underlying international literature, has been proposed as a tool for assessing the quality of the diet. Therefore, this study was performed to investigate the association between LLDS and metabolically healthy/unhealthy overweight and obesity (MHO/MUHO) phenotypes. Methods This study was performed on 217 women, aged 18–48 years old. For each participant anthropometric values, biochemical test and body composition were evaluated by standard protocols and methods. The LLDS was determined based on 12 components using a valid and reliable food frequency questionnaire (FFQ) containing 147 items. The metabolically healthy (MH) was evaluated using the Karelis criteria. Results Among the total participants in this study, 31.3% of the subjects were MHO while 68.7% were MUHO. After adjustment for potential confounding variables (age, energy intake, and physical activity), participants in highest LLDS tertile had a lower odds of MUHO compared with those in the lowest tertile (OR: 1.18; 95% CI: 0.23, 5.83; P -trend = 0.03). Also, after further adjustment with BMI, provided only small changes in OR and did not attenuate the significance (OR: 1.28; 95% CI: 0.23, 6.91; P -trend = 0.02). Conclusions The present evidence indicates that individuals with higher adherence to the LLDS had lower odds of metabolically unhealthy (MUH)." @default.
• W4295432910 created "2022-09-14" @default.
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• W4295432910 date "2022-09-12" @default.
• W4295432910 modified "2023-09-27" @default.
• W4295432910 title "Association of Lifelines Diet Score (LLDS) and metabolically unhealthy overweight/obesity phenotypes in women: a cross-sectional study" @default.
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• W4295432910 doi "https://doi.org/10.1186/s12905-022-01957-x" @default.
• W4295432910 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36096807" @default.
• W4295432910 hasPublicationYear "2022" @default.
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