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There is objective need to evaluate the differences in dietary intake (DI), body composition (BC), lifestyle (LS) and cardiovascular diseases (CVD) risk factors between healthy and active vegetarinas (VEG) and non vegetarians (non VEG) and references (according to gender).
The aim of this cross-sectional study for investigators is to document the potential differences in DI (non adjusted and adjusted), BC, LS and CVD risk factors between healthy and active VEG and non VEG, aged from 18 to 80 years, and to evaluated correlation between DI variables and CVD risk factors.
The study during the COVID-19 pandemic period will be self-reported. As variables the investigators will include the dietary intake, BC (body height, body weight, body mass index (BMI), body fat percentage (BF %)), lifestyle status (physical activity, daily seating, hygiene of sleep, socio-economic status, and motive for practicing chosen diet). The investigators will also record their maximum (lifetime) body weight, lipids (total-cholesterol, LDL-cholesterol, HDL-cholesterol, and triglycerides) and blood pressure (BP) status.
The investigators hypothesis are:
(H1): There are differences in DI and quality of the diet (compared with references).
(H2): There are differences in BC between the VEG in non VEG (according to gender).
(H3): The are no differences between in CVD risk factors between the VEG and non VEG (according to gender).
(H4): The are no differences in the effect of two intervals of time restricted feeding (i.e., 8-12 hours vs. 12-16 hours) within dietary pattern (according to gender).
In the study investigators will voluntarily enroll health and active 200-400 participants within inclusion/exclusion criteria that are willing to participate in the study. Investigators anticipate that for this number of adults (aged 18-80 years) will require approx. 10-20.000 invited candidates, of both sexes.
The methods to be used are standardized food frequency questionnaire (FFQ) that is sensible for different dietary patterns (to analyzed the daily dietary intake, for conventional component the investigators will use Dietplan7 Pro dietary assessment software (Forestield Software Limited, Horsham, UK), while for dietary supplements the investigators will use Res Pons d.o.o. servises, company that professionally manages a database with all dietary supplements and medicine products available on the Slovenian market.
BC status the investigators will use self-reported data from bioimpedance body composition monitor (Tanita, Tokyo, Japan), for basic anthropometric status the investigators will use medically approved body weight scale and body gauge (in the medical centers; body height, body weight, and BMI), and for lifestyle status the investigators will use three standardized questionnaires for: (1) habitual and organized physical activity, and the frequency of sitting (IPAQ-long), (2) quality of sleep (PSQI), and (3) socio-demographic, economic status adopted by Slovenian NIH.
Additionally, with added questionnaire the investigators will assessed the motives for VEG and non VEG dietary pattern. Investigators will record the participants maximum (lifetime) body weight (and therefore maximum BMI), and used self-reported CVD biochemistry results, measured in a standard and comparable method (plasma lipids, BP) in national medical centers.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dietary intake, body composition, lifestyle, and CVD risk factors | Other | Dietary intake, body composition, lifestyle, and CVD risk factors |
| Measure | Description | Time Frame |
|---|---|---|
| Body weight status | Body weight measured with medically approved weighing scale | Cross-sectional (April-June 2020) |
| Height status | Height status measured with medically approved weighing scale with height rod | Cross-sectional (April-June 2020) |
| Body mass index (BMI) status | Measured weight and height will be combined to report BMI in kg/m2 | Cross-sectional (April-June 2020) |
| Fat tissue mass status | Fat tissue mass measured with bioimpedance analysis | Cross-sectional (April-June 2020) |
| Dietary intake status | Dietary intake measured by food frequency questionnaire | Cross-sectional (May-June 2020) |
| Serum cholesterol status | Serum total cholesterol concentration | Cross-sectional (May 2019-June 2020) |
| Oxidized Low Density Lipoprotein (LDL)-cholesterol status | Serum concentration of oxidized LDL-cholesterol | Cross-sectional (May 2019-June 2020) |
| Serum HDL cholesterol status | Serum HDL cholesterol concentration |
| Measure | Description | Time Frame |
|---|---|---|
| Socio-economic and demographic status | Socio-economic and demographic status measured using Nutritional behaviours of adults Slovenians from the point of of health prevention questionnaire (Slovenian National Institute of Health) | Cross-sectional (May-June 2020) |
| Physical activity status |
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Inclusion Criteria:
Exclusion Criteria:
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Healthy and active Slovenian adults, without body mass index (BMI) limitation.
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| Name | Affiliation | Role |
|---|---|---|
| Boštjan Jakše | Barbara Jakše s.p. | Principal Investigator |
| Stanislav Pinter, PhD | University of Ljubljana | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| PDP Spodnje Črnuče | Ljubljana | 1000 | Slovenia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22843611 | Background | De Keyzer W, Dekkers A, Van Vlaslaer V, Ottevaere C, Van Oyen H, De Henauw S, Huybrechts I. Relative validity of a short qualitative food frequency questionnaire for use in food consumption surveys. Eur J Public Health. 2013 Oct;23(5):737-42. doi: 10.1093/eurpub/cks096. Epub 2012 Jul 26. | |
| 16925881 | Background |
| Label | URL |
|---|---|
| Forestfield Software Ltd. Forestfield Software - Dietplan | View source |
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| Cross-sectional (May 2019-June 2020) |
| Serum triglyceride status | Serum triglyceride concentrations | Cross-sectional (May 2019-June 2020) |
| Blood pressure status | Blood pressure status (systolic and diastolic) | Cross-sectional (May 2019-June 2020) |
Physical activity status measured by The International Physical Activity Questionnaires |
| Cross-sectional (May-June 2020) |
| Sleep status | Sleep status measured with The Pittsburgh Sleep Quality Index | Cross-sectional (May-June 2020) |
| Motives for dietary pattern status | Motives for dietary pattern status measured by investigators questionnaire | Cross-sectional (May-June 2020) |
| Hagstromer M, Oja P, Sjostrom M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006 Sep;9(6):755-62. doi: 10.1079/phn2005898. |
| 2748771 | Background | Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4. |
| 28922262 | Background | Fidler Mis N, Braegger C, Bronsky J, Campoy C, Domellof M, Embleton ND, Hojsak I, Hulst J, Indrio F, Lapillonne A, Mihatsch W, Molgaard C, Vora R, Fewtrell M; ESPGHAN Committee on Nutrition:. Sugar in Infants, Children and Adolescents: A Position Paper of the European Society for Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition. J Pediatr Gastroenterol Nutr. 2017 Dec;65(6):681-696. doi: 10.1097/MPG.0000000000001733. |
| 34199550 | Derived | Jakse B, Jakse B, Godnov U, Pinter S. Nutritional, Cardiovascular Health and Lifestyle Status of 'Health Conscious' Adult Vegans and Non-Vegans from Slovenia: A Cross-Sectional Self-Reported Survey. Int J Environ Res Public Health. 2021 Jun 2;18(11):5968. doi: 10.3390/ijerph18115968. |
| NIJZ with partners (2019). | View source |
| Guideline: sugars intake for adults and children | View source |
| German Nutrition Society, Austrian Nutrition Society, Swiss Society of Nutrition Research, the S. A. for N. (2018). 3. Ergaenzlieferung D-A-CH Referenzwerte für die Nährstoffzufuhr \[Reference Values for Nutrient Intake\] (4th ed). | View source |
| ResPons (2020) Pretehtajte prehranska dopolnila | View source |
| ID | Term |
|---|---|
| D001835 | Body Weight |
| D000093763 | Intermittent Fasting |
| ID | Term |
|---|---|
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D005215 | Fasting |
| D005247 | Feeding Behavior |
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D004435 | Eating |
| D001823 | Body Composition |
| ID | Term |
|---|---|
| D009747 | Nutritional Physiological Phenomena |
| D000066888 | Diet, Food, and Nutrition |
| D010829 | Physiological Phenomena |
| D004068 | Digestive System Physiological Phenomena |
| D055688 | Digestive System and Oral Physiological Phenomena |
| D001669 | Biochemical Phenomena |
| D055598 | Chemical Phenomena |
| D008660 | Metabolism |
| D001824 | Body Constitution |
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