Diet, Body Composition, Lifestyle and Cardiovascular Health of Healthy and Active Adults From Slovenia
SloLifestyle
Differences in Dietary Intake, Body Composition, Lifestyle and Various Cardiovascular Diseases Risk Factors Among Healthy and Active Vegetrians and Non Vegetarians
1 other identifier
observational
93
1 country
1
Brief Summary
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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 5, 2020
CompletedFirst Posted
Study publicly available on registry
May 7, 2020
CompletedStudy Start
First participant enrolled
May 22, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 5, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
August 5, 2020
CompletedAugust 6, 2020
August 1, 2020
3 months
May 5, 2020
August 4, 2020
Conditions
Outcome Measures
Primary Outcomes (10)
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
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)
Secondary Outcomes (4)
Socio-economic and demographic status
Cross-sectional (May-June 2020)
Physical activity status
Cross-sectional (May-June 2020)
Sleep status
Cross-sectional (May-June 2020)
Motives for dietary pattern status
Cross-sectional (May-June 2020)
Interventions
Dietary intake, body composition, lifestyle, and CVD risk factors
Eligibility Criteria
Healthy and active Slovenian adults, without body mass index (BMI) limitation.
You may qualify if:
- Health and active
- At least one year on same dietary pattern
- Signed informed consent to participate in the study
- Measured body composition status within last 90 days in Tanita body composition anayzer
- Measured values (annual or initiative examination report) of lipids and blood pressure
You may not qualify if:
- Major musculoskeletal restrictions
- Pregnant and lactating woman
- Currently competitive or top level athletes
- Current use of drugs for measured blood markers (lipids and blood pressure)
- Active common chronic diseases (i.e., cancer, CVD, autoimmune diseases ect.)
- Lost 5 kg or more within last year
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
PDP Spodnje Črnuče
Ljubljana, 1000, Slovenia
Related Publications (5)
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.
PMID: 22843611BACKGROUNDHagstromer 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.
PMID: 16925881BACKGROUNDBuysse 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.
PMID: 2748771BACKGROUNDFidler 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.
PMID: 28922262BACKGROUNDJakse 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.
PMID: 34199550DERIVED
Related Links
- Forestfield Software Ltd. Forestfield Software - Dietplan
- NIJZ with partners (2019).
- Guideline: sugars intake for adults and children
- 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).
- ResPons (2020) Pretehtajte prehranska dopolnila
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Boštjan Jakše
Barbara Jakše s.p.
- STUDY CHAIR
Stanislav Pinter, PhD
University of Ljubljana
Study Design
- Study Type
- observational
- Observational Model
- ECOLOGIC OR COMMUNITY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- PhD student of Nutrition
Study Record Dates
First Submitted
May 5, 2020
First Posted
May 7, 2020
Study Start
May 22, 2020
Primary Completion
August 5, 2020
Study Completion
August 5, 2020
Last Updated
August 6, 2020
Record last verified: 2020-08