DIETE: The Link Between Diets and Health Indicators
Study Details
Study Description
Brief Summary
The cohort study investigates the effect of different dietary intake among omnivorous, vegan, vegetarian and low-carb diets on health parameters and on long-term overall health. The participants blood parameters, dietary intake, gut microbiota composition, body mass and composition, resting energy expenditure, lifestyle factors and psychological factors will be determined and measured.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
Vegetarian and vegan diets have been shown to have health benefits on preventing cardiovascular diseases, type 2 diabetes and cancer. They are both gaining popularity in public. Ketogenic diet has also been very popular, especially due to its effect on weight loss and blood glucose parameters. To our knowledge there, are no studies that compare long-term effects of all three diets and omnivorous diets with regards to health parameters and gut microbiota composition.
The aim of the proposed study is to investigate the link between different diets and health parameters, such as parameters related to longevity, inflammation, stress and gut microbiota composition. The study is designed to compare different diets and their relationship with the body as a whole.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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omnivors Participants who habitually consume all food groups in their diet. |
Behavioral: Regular lifestyle in different circumstances
Participants' lifestyle will be followed over the years.
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vegetarian Participants who habitually avoid meat in their diet. |
Behavioral: Regular lifestyle in different circumstances
Participants' lifestyle will be followed over the years.
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vegan Participants who habitually avoid all animal source food in their diet. |
Behavioral: Regular lifestyle in different circumstances
Participants' lifestyle will be followed over the years.
|
low-carbohydrate high-fat diet Participants who habitually avoid carbohydrate in their diet. |
Behavioral: Regular lifestyle in different circumstances
Participants' lifestyle will be followed over the years.
|
Outcome Measures
Primary Outcome Measures
- Changes in systemic inflammation [Change from baseline at 5 years.]
CRP [mg/L] will be measured as a marker of inflammation.
- Changes in serum total antioxidative capacity [Change from baseline at 5 years.]
Total antioxidative capacity of serum will be measured with Photochem instrument and expressed as nanomole equivalents of ascorbic acid per microliter of serum.
Secondary Outcome Measures
- Changes in macronutrient intake [Change from baseline at 5 years.]
Macronutrient intake will be measured with validated FFQ and 3-day food diary and analysed with softwares OPEN and Prodi. Macronutrient intake will be expressed as part of daily energy intake.
- Changes in micronutrient intake [Change from baseline at 5 years.]
Micronutrient intake will be measured with validated FFQ and 3-day food diary and analysed with softwares OPEN and Prodi. Micronutrient intake will be expressed as mg per day.
- Changes in gut microbiota composition [Change from baseline at 5 years.]
Microbial composition of stool will be determined with microbial DNA isolation and identification.
- Changes in body composition [Change from baseline at 5 years.]
Fat free body mass will be measured with bioelectrical impedance analysis and expressed in kg.
- Changes in resting metabolic rate [Change from baseline at 5 years.]
Resting metabolic rate will be determined with indirect calorimeter and expressed in kJ/day.
- Changes in lifestyle factors [Change from baseline at 5 years.]
Will be assessed with a questionnaire.
- Changes in anxiety [Change from baseline at 5 years.]
Will be assessed by state-trait anxiety inventory. The STAIX-1 contains 20 items, which are scored on a 4-pointscale with subscale scores ranging from 20 to 80, with higherscores indicating higher anxiety.
- Changes in body satisfaction [Change from baseline at 5 years.]
Will be assessed by the body dissatisfaction subscale from the Eating Disorders Inventory-2. Responses will be rated on a 5-point Likert scale from 0 (never) to 4 (always).
- Changes in grip strength [Change from baseline at 5 years.]
Will be measured with a hand dynamometer.
- Changes in autophagy [Change from baseline at 5 years.]
Autophagy will be measured by autophagy-related mRNA gene expression evaluation.
Eligibility Criteria
Criteria
Inclusion Criteria:
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18,5 < BMI < 30 kg/m2
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asymptomatic for any disease
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medication free
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same pattern of eating in the last 3 months
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stable body mass in the last 3 months
Exclusion Criteria:
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BMI < 18,5 and > 30 kg/m2
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presence of any chronic disease
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taking any medications
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changed eating pattern in the last 3 months
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unstable body mass in the last 3 months
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taking antibiotics in the last 3 months
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | University of Primorska, Faculty of Health Sciences | Izola | Slovenia | SI-6310 |
Sponsors and Collaborators
- University of Primorska
Investigators
- Principal Investigator: Zala Jenko Pražnikar, PhD, University of Primorska, Faculty of Health Sciences
- Principal Investigator: Nina Mohorko, PhD, University of Primorska, Faculty of Health Sciences
Study Documents (Full-Text)
None provided.More Information
Publications
- Bizjak M, Jenko-Pražnikar Z, Koroušić Seljak B. Development and validation of an electronic FFQ to assess food intake in the Slovene population. Public Health Nutr. 2014 Aug;17(8):1729-37. doi: 10.1017/S1368980013002577. Epub 2013 Oct 8.
- Černelič-Bizjak M, Jenko-Pražnikar Z. Body dissatisfaction predicts inflammatory status in asymptomatic healthy individuals. J Health Psychol. 2018 Jan;23(1):25-35. doi: 10.1177/1359105316672923. Epub 2016 Oct 19.
- Jenko-Pražnikar Z, Petelin A, Jurdana M, Žiberna L. Serum bilirubin levels are lower in overweight asymptomatic middle-aged adults: an early indicator of metabolic syndrome? Metabolism. 2013 Jul;62(7):976-85. doi: 10.1016/j.metabol.2013.01.011. Epub 2013 Feb 13.
- Kenig S, Petelin A, Poklar Vatovec T, Mohorko N, Jenko-Pražnikar Z. Assessment of micronutrients in a 12-wk ketogenic diet in obese adults. Nutrition. 2019 Nov - Dec;67-68:110522. doi: 10.1016/j.nut.2019.06.003. Epub 2019 Jun 14.
- Mohorko N, Jenko-Pražnika Z, Petelin A. Leucine and lysine intakes are highly associated with serum adiponectin levels in asymptomatic adults. Minerva Endocrinol. 2016 Sep;41(3):302-13. Epub 2015 Feb 13.
- Mohorko N, Petelin A, Jurdana M, Biolo G, Jenko-Pražnikar Z. Elevated serum levels of cysteine and tyrosine: early biomarkers in asymptomatic adults at increased risk of developing metabolic syndrome. Biomed Res Int. 2015;2015:418681. doi: 10.1155/2015/418681. Epub 2015 Mar 4.
- Paoli A, Mancin L, Bianco A, Thomas E, Mota JF, Piccini F. Ketogenic Diet and Microbiota: Friends or Enemies? Genes (Basel). 2019 Jul 15;10(7). pii: E534. doi: 10.3390/genes10070534. Review.
- Rocha JP, Laster J, Parag B, Shah NU. Multiple Health Benefits and Minimal Risks Associated with Vegetarian Diets. Curr Nutr Rep. 2019 Dec;8(4):374-381. doi: 10.1007/s13668-019-00298-w. Review.
- Sakkas H, Bozidis P, Touzios C, Kolios D, Athanasiou G, Athanasopoulou E, Gerou I, Gartzonika C. Nutritional Status and the Influence of the Vegan Diet on the Gut Microbiota and Human Health. Medicina (Kaunas). 2020 Feb 22;56(2). pii: E88. doi: 10.3390/medicina56020088. Review.
- Satija A, Bhupathiraju SN, Rimm EB, Spiegelman D, Chiuve SE, Borgi L, Willett WC, Manson JE, Sun Q, Hu FB. Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes in US Men and Women: Results from Three Prospective Cohort Studies. PLoS Med. 2016 Jun 14;13(6):e1002039. doi: 10.1371/journal.pmed.1002039. eCollection 2016 Jun.
- DIETE