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.
Study Type
OBSERVATIONAL
Enrollment
93
Dietary intake, body composition, lifestyle, and CVD risk factors
PDP Spodnje Črnuče
Ljubljana, Slovenia
Body weight status
Body weight measured with medically approved weighing scale
Time frame: Cross-sectional (April-June 2020)
Height status
Height status measured with medically approved weighing scale with height rod
Time frame: Cross-sectional (April-June 2020)
Body mass index (BMI) status
Measured weight and height will be combined to report BMI in kg/m2
Time frame: Cross-sectional (April-June 2020)
Fat tissue mass status
Fat tissue mass measured with bioimpedance analysis
Time frame: Cross-sectional (April-June 2020)
Dietary intake status
Dietary intake measured by food frequency questionnaire
Time frame: Cross-sectional (May-June 2020)
Serum cholesterol status
Serum total cholesterol concentration
Time frame: Cross-sectional (May 2019-June 2020)
Oxidized Low Density Lipoprotein (LDL)-cholesterol status
Serum concentration of oxidized LDL-cholesterol
Time frame: Cross-sectional (May 2019-June 2020)
Serum HDL cholesterol status
Serum HDL cholesterol concentration
Time frame: Cross-sectional (May 2019-June 2020)
Serum triglyceride status
Serum triglyceride concentrations
Time frame: Cross-sectional (May 2019-June 2020)
Blood pressure status
Blood pressure status (systolic and diastolic)
Time frame: Cross-sectional (May 2019-June 2020)
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)
Time frame: Cross-sectional (May-June 2020)
Physical activity status
Physical activity status measured by The International Physical Activity Questionnaires
Time frame: Cross-sectional (May-June 2020)
Sleep status
Sleep status measured with The Pittsburgh Sleep Quality Index
Time frame: Cross-sectional (May-June 2020)
Motives for dietary pattern status
Motives for dietary pattern status measured by investigators questionnaire
Time frame: Cross-sectional (May-June 2020)
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