Background: The Mediterranean lifestyle is widely recognized for its role in reducing the risk of chronic diseases, including cardiovascular diseases, type 2 diabetes, and cancer. The PREVESMED questionnaire was developed to evaluate adherence to this lifestyle, integrating dietary and non-dietary behaviors. Unlike existing tools, PREVESMED incorporates underexplored elements such as eating pace, herbal tea consumption, and physical activity, providing a multidimensional approach to lifestyle assessment. Methods: The validation of PREVESMED was carried out as part of a planned interim analysis using data collected from participants in the PREVES-ENERGY survey, a cross-sectional study targeting 1,000 adults aged 18 years and above. To assess the reliability of the PREVESMED scale, internal consistency was evaluated using Cronbach’s alpha, ensuring an acceptable level of reliability. To investigate the relationships between lifestyle factors, individual questionnaire items, and adherence to Mediterranean lifestyle according to the PREVESMED scale, a correlation analysis was performed. Additionally, to identify significant predictors of better adherence, a multivariable linear regression model was utilized, highlighting key factors influencing adherence. Finally, an exploratory factor analysis (EFA) was conducted to reveal the underlying structure of the PREVESMED scale, identifying key dimensions and their contributions to the total variance. Results: The cohort analyzed for the preliminary validation of the PREVESMED questionnaire consisted of 268 participants, in line with the protocol’s planned sample size. Internal consistency analysis demonstrated acceptable reliability (Cronbach’s alpha = 0.628). In the correlation analysis, the strongest associations with the total PREVESMED score emerged for physical activity, extra virgin olive oil use, and fruit/vegetable consumption, whereas daily alcohol intake showed the weakest correlation. The multivariable linear regression highlighted higher education, lower BMI, nonsmoking status, higher WHO-5 scores, and older age as significant predictors of better adherence. Exploratory factor analysis identified five factors explaining 59.32% of the total variance. Conclusion: Our findings suggest that the PREVESMED questionnaire is a promising, multidimensional tool for evaluating adherence to a Mediterranean lifestyle, demonstrating acceptable reliability and significant associations with key health indicators. Further refinement and extended validation – encompassing test-retest reliability, weighted scoring, and biomarker correlations – will strengthen its applicability across diverse populations.

1.
Estruch
R
,
Ros
E
,
Salas-Salvadó
J
,
Covas
M-I
,
Corella
D
,
Arós
F
, et al
.
Retraction and republication: primary prevention of cardiovascular disease with a mediterranean diet. N engl J med 2013;368:1279-90
.
N Engl J Med
.
2018
;
378
(
25
):
2441
2
.
2.
Mozaffarian
D
,
Rimm
EB
.
Fish intake, contaminants, and human health: evaluating the risks and the benefits
.
JAMA
.
2006
;
296
(
15
):
1885
99
.
3.
Diabetes and Nutrition Study Group DNSG of the European Association for the Study of Diabetes EASD
,
Axelsen
M
,
Churuangsuk
C
,
Hermansen
K
,
Kendall
CWC
,
Kahleova
H
.
Evidence-based European recommendations for the dietary management of diabetes
.
Diabetologia
.
2023
;
66
(
6
):
965
85
.
4.
Schröder
H
,
Fitó
M
,
Estruch
R
,
Martínez-González
MA
,
Corella
D
,
Salas-Salvadó
J
, et al
.
A short screener is valid for assessing mediterranean diet adherence among older Spanish men and women
.
J Nutr
.
2011
;
141
(
6
):
1140
5
.
5.
Sotos-Prieto
M
,
Moreno-Franco
B
,
Ordovás
JM
,
León
M
,
Casasnovas
JA
,
Peñalvo
JL
.
Design and development of an instrument to measure overall lifestyle habits for epidemiological research: the Mediterranean Lifestyle (MEDLIFE) index
.
Public Health Nutr
.
2015
;
18
(
6
):
959
67
.
6.
Trichopoulou
A
,
Costacou
T
,
Bamia
C
,
Trichopoulos
D
.
Adherence to a mediterranean diet and survival in a Greek population
.
N Engl J Med
.
2003
;
348
(
26
):
2599
608
.
7.
Di Lorenzo
G
,
Ingenito
C
,
Iervolino
M
,
Sosto
G
,
Sergianni
P
,
Primiano
F
, et al
.
PREVES: a population-based survey focused on cancer and nutrition
.
Oncology
.
2023
;
101
(
6
):
369
74
.
8.
Sabaté
J
,
Oda
K
,
Ros
E
.
Nut consumption and blood lipid levels: a pooled analysis of 25 intervention trials
.
Arch Intern Med
.
2010
;
170
(
9
):
821
7
.
9.
Kolay
E
,
Bykowska-Derda
A
,
Abdulsamad
S
,
Kaluzna
M
,
Samarzewska
K
,
Ruchala
M
, et al
.
Self-reported eating speed is associated with indicators of obesity in adults: a systematic review and meta-analysis
.
Healthcare
.
2021
;
9
(
11
):
1559
.
10.
Warburton
DER
,
Nicol
CW
,
Bredin
SSD
.
Health benefits of physical activity: the evidence
.
Can Med Assoc J
.
2006
;
174
(
6
):
801
9
.
11.
Malik
VS
,
Popkin
BM
,
Bray
GA
,
Després
J-P
,
Willett
WC
,
Hu
FB
.
Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis
.
Diabetes Care
.
2010
;
33
(
11
):
2477
83
.
12.
Rehm
J
,
Gmel
GE
,
Gmel
G
,
Hasan
OSM
,
Imtiaz
S
,
Popova
S
, et al
.
The relationship between different dimensions of alcohol use and the burden of disease: an update
.
Addiction
.
2017
;
112
(
6
):
968
1001
.
13.
Diabetes and Nutrition Study Group DNSG of the European Association for the Study of Diabetes EASD
,
Axelsen
M
,
Churuangsuk
C
,
Hermansen
K
,
Kendall
CWC
,
Kahleova
H
.
Evidence-based European recommendations for the dietary management of diabetes
.
Diabetologia
.
2023
;
66
(
6
):
965
85
.
14.
Tavakol
M
,
Dennick
R
.
Making sense of Cronbach’s alpha
.
Int J Med Educ
.
2011
;
2
:
53
5
.
15.
Cohen
J
.
Statistical power analysis for the behavioral sciences
. 2 ed
Elsevier
;
1988
L. Erlbaum Associates HNJ.
16.
Costello
ABJO
.
Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis
.
Practical Assess Res Eval
.
2005
;
10
(
7
).
17.
Guenther
PM
,
Kirkpatrick
SI
,
Reedy
J
,
Krebs-Smith
SM
,
Buckman
DW
,
Dodd
KW
, et al
.
The healthy eating index-2010 is a valid and reliable measure of diet quality according to the 2010 dietary guidelines for Americans
.
J Nutr
.
2014
;
144
(
3
):
399
407
.
18.
Giromini
C
,
Givens
DI
.
Benefits and risks associated with meat consumption during key life processes and in relation to the risk of chronic diseases
.
Foods
.
2022
;
11
(
14
):
2063
.
19.
Wyness
L
.
The role of red meat in the diet: nutrition and health benefits
.
Proc Nutr Soc
.
2016
;
75
(
3
):
227
32
.
20.
Lescinsky
H
,
Afshin
A
,
Ashbaugh
C
,
Bisignano
C
,
Brauer
M
,
Ferrara
G
, et al
.
Health effects associated with consumption of unprocessed red meat: a Burden of Proof study
.
Nat Med
.
2022
;
28
(
10
):
2075
82
.
21.
Larsson
SC
,
Orsini
N
.
Red meat and processed meat consumption and all-cause mortality: a meta-analysis
.
Am J Epidemiol
.
2014
;
179
(
3
):
282
9
.
22.
Leroy
F
,
Smith
NW
,
Adesogan
AT
,
Beal
T
,
Iannotti
L
,
Moughan
PJ
, et al
.
The role of meat in the human diet: evolutionary aspects and nutritional value
.
Anim Front
.
2023
;
13
(
2
):
11
8
.
23.
Cemali
Ö
,
Çelik
E
,
Akdevelioğlu
Y
.
Validity and reliability study of the mediterranean lifestyle index: Turkish adaptation
.
J Taibah Univ Med Sci
.
2024
;
19
(
2
):
460
7
.
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