Interaction between ultra-processed food intake and genetic risk score on mental health and sleep quality.
Autor: | Hajmir MM; Students' Scientific Center, Tehran University of Medical Sciences, P.O. Box 1417755331, Tehran, Iran., Shiraseb F; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box 14155-6117, Tehran, Iran., Ebrahimi S; The Ritchie Centre, Hudson Institute of Medical Research, Monash University, Clayton, Melbourne, VIC, Australia., Noori S; Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran., Ghaffarian-Ensaf R; Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran., Mirzaei K; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box 14155-6117, Tehran, Iran. mirzaei_kh@sina.tums.ac.ir.; Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran. mirzaei_kh@sina.tums.ac.ir. |
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Jazyk: | angličtina |
Zdroj: | Eating and weight disorders : EWD [Eat Weight Disord] 2022 Dec; Vol. 27 (8), pp. 3609-3625. Date of Electronic Publication: 2022 Dec 24. |
DOI: | 10.1007/s40519-022-01501-8 |
Abstrakt: | Purpose: Mental health and sleep quality are associated with genetics and nutrient and energy intake. The present study examined the association between ultra-processed food (UPF) intake and genetic risk score (GRS) and their interactions on mental health and sleep quality in Iranian women. Methods: A cross-sectional study was conducted on 278 overweight and obese females aged between 18 and 56 years. According to the NOVA classification system, 37 food groups and beverages were collected using a 147-item semi-quantitative food frequency questionnaire (FFQ). The blood parameters of all participants were assessed. Mini-column kit (type G; Genall; Exgene) and the PCR-RFLP method were used to extract DNA and determine gene polymorphism, respectively. Three single nucleotide polymorphisms (SNPs), including Caveolin_1 (Cav_1), Melanocortin4 receptor (MC4R), and cryptochrome circadian regulator 1 (CRY1), were used to calculate GRS. The individual risk allele (0, 1, 2) for each SNP was calculated using the incremental genetic model. Results: After controlling for confounders, a significant interaction was found for depression (β = 0.026, 95% CI 0.003, 0.049, P = 0.028) and depression anxiety stress scales (DASS) score (β = 0.059, 95% CI 0.001, 0.117, P = 0.046) on the NOVA classification system and GRS. Conclusions: The findings of this study showed a significant interaction between GRS and the NOVA classification system on mental disorders, including depression, DASS score and stress. There was also a significant relationship between the NOVA classification system and anxiety, DASS score, sleep quality and depression. Furthermore, a partially significant association was observed between GRS and stress. Level of Evidence: Level V, cross-sectional descriptive study. (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) |
Databáze: | MEDLINE |
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