Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults
Abstract Background Gaussian graphical models (GGM) are an innovative method for deriving dietary networks which reflect dietary intake patterns and demonstrate how food groups are consuming in relation to each other, independently. The aim of this study was to derive dietary networks and assess the...
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| Format: | Article |
| Language: | English |
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BMC
2022-08-01
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| Series: | Diabetology & Metabolic Syndrome |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13098-022-00894-x |
| _version_ | 1818082387141066752 |
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| author | Reihaneh Jahanmiri Kurosh Djafarian Nasim Janbozorgi Fatemeh Dehghani-Firouzabadi Sakineh Shab-Bidar |
| author_facet | Reihaneh Jahanmiri Kurosh Djafarian Nasim Janbozorgi Fatemeh Dehghani-Firouzabadi Sakineh Shab-Bidar |
| author_sort | Reihaneh Jahanmiri |
| collection | DOAJ |
| description | Abstract Background Gaussian graphical models (GGM) are an innovative method for deriving dietary networks which reflect dietary intake patterns and demonstrate how food groups are consuming in relation to each other, independently. The aim of this study was to derive dietary networks and assess their association with metabolic syndrome in a sample of the Iranian population. Methods In this cross-sectional study, 850 apparently healthy adults were selected from referral health care centers. 168 food items food frequency questionnaire was used to assess dietary intakes. Food networks were driven by applying GGM to 40 food groups. Metabolic syndrome was defined based on the guidelines of the National Cholesterol Education Program Adult Treatment Panel III (ATP III). Results Three GGM networks were identified: healthy, unhealthy and saturated fats. Results showed that adherence to saturated fats networks with the centrality of butter, was associated with higher odds of having metabolic syndrome after adjusting for potential confounders (OR = 1.81, 95% CI 1.61–2.82; P trend = 0.009) and higher odds of having hyperglycemia (P trend = 0.04). No significant association was observed between healthy and unhealthy dietary networks with metabolic syndrome, hypertension, hypertriglyceridemia and central obesity. Furthermore, metabolic syndrome components were not related to the identified networks. Conclusion Our findings suggested that greater adherence to the saturated fats network is associated with higher odds of having metabolic syndrome in Iranians. These findings highlight the effect of dietary intake patterns with metabolic syndrome. |
| first_indexed | 2024-12-10T19:21:17Z |
| format | Article |
| id | doaj.art-ce40463b9b204db6b248d036df681237 |
| institution | Directory Open Access Journal |
| issn | 1758-5996 |
| language | English |
| last_indexed | 2024-12-10T19:21:17Z |
| publishDate | 2022-08-01 |
| publisher | BMC |
| record_format | Article |
| series | Diabetology & Metabolic Syndrome |
| spelling | doaj.art-ce40463b9b204db6b248d036df6812372022-12-22T01:36:29ZengBMCDiabetology & Metabolic Syndrome1758-59962022-08-0114111110.1186/s13098-022-00894-xSaturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adultsReihaneh Jahanmiri0Kurosh Djafarian1Nasim Janbozorgi2Fatemeh Dehghani-Firouzabadi3Sakineh Shab-Bidar4Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical SciencesDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)Abstract Background Gaussian graphical models (GGM) are an innovative method for deriving dietary networks which reflect dietary intake patterns and demonstrate how food groups are consuming in relation to each other, independently. The aim of this study was to derive dietary networks and assess their association with metabolic syndrome in a sample of the Iranian population. Methods In this cross-sectional study, 850 apparently healthy adults were selected from referral health care centers. 168 food items food frequency questionnaire was used to assess dietary intakes. Food networks were driven by applying GGM to 40 food groups. Metabolic syndrome was defined based on the guidelines of the National Cholesterol Education Program Adult Treatment Panel III (ATP III). Results Three GGM networks were identified: healthy, unhealthy and saturated fats. Results showed that adherence to saturated fats networks with the centrality of butter, was associated with higher odds of having metabolic syndrome after adjusting for potential confounders (OR = 1.81, 95% CI 1.61–2.82; P trend = 0.009) and higher odds of having hyperglycemia (P trend = 0.04). No significant association was observed between healthy and unhealthy dietary networks with metabolic syndrome, hypertension, hypertriglyceridemia and central obesity. Furthermore, metabolic syndrome components were not related to the identified networks. Conclusion Our findings suggested that greater adherence to the saturated fats network is associated with higher odds of having metabolic syndrome in Iranians. These findings highlight the effect of dietary intake patterns with metabolic syndrome.https://doi.org/10.1186/s13098-022-00894-xGaussian graphical modelsGGMsDietary patternsDietary networksMetabolic syndrome |
| spellingShingle | Reihaneh Jahanmiri Kurosh Djafarian Nasim Janbozorgi Fatemeh Dehghani-Firouzabadi Sakineh Shab-Bidar Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults Diabetology & Metabolic Syndrome Gaussian graphical models GGMs Dietary patterns Dietary networks Metabolic syndrome |
| title | Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults |
| title_full | Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults |
| title_fullStr | Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults |
| title_full_unstemmed | Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults |
| title_short | Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults |
| title_sort | saturated fats network identified using gaussian graphical models is associated with metabolic syndrome in a sample of iranian adults |
| topic | Gaussian graphical models GGMs Dietary patterns Dietary networks Metabolic syndrome |
| url | https://doi.org/10.1186/s13098-022-00894-x |
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