Grzegorz Galinski

Dr. Grzegorz Galinski

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2018 in Nutrients
Verified
Journal Article
Open access
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Joanna KowalkowskaJoanna Kowalkowska
Joanna Kowalkowska
Lidia WadolowskaLidia Wadolowska
Lidia Wadolowska
JCJolanta Czarnocinska
Jolanta Czarnocinska
Magdalena Czlapka- MatyasikMagdalena Czlapka- Matyasik
Magdalena Czlapka- Matyasik
GGGrzegorz Galinski
Grzegorz Galinski
JWJoanna Wyka
Joanna Wyka
The aim of the study was to evaluate the reproducibility of the Dietary Habits and Nutrition Beliefs Questionnaire (KomPAN) in Polish adolescents and adults, including the assessment of indexes developed based on the questionnaire. In total, the study involved 954 subjects aged 15–65 (53.9% females). Interviews using the interviewer-administered questionnaire (IA-Q) in healthy subjects (n 299) and the self-administered questionnaire (SA-Q) in healthy subjects (n 517) and outpatients (n 138) were conducted and repeated after two weeks. Considering the consumption frequency of 33 food items, the cross-classification (test-retest) agreement of classification into the same category obtained for IA-Q in healthy subjects ranged from 72.2% (fruit juices) to 91.6% (energy drinks); the kappa statistic was >0.60 for all food items. For SA-Q conducted in healthy subjects the cross-classification agreement ranged from 63.8% (vegetable oils, margarines, mixes of butter and margarines) to 84.7% (lard); the kappa statistic was >0.50 for all food items. For SA-Q in outpatients, the cross-classification agreement ranged from 42.0% (both fruit juices and white rice, white pasta, fine-ground groats) to 92.0% (energy drinks); the kappa statistic was ≥0.40 for 20/33 food items. The kappa statistic for lifestyle items ranged 0.42–0.96, and for the nutrition knowledge level it ranged 0.46–0.73. The questionnaire showed moderate to very good reproducibility and can be recommended to assess dietary habits, lifestyle and nutrition knowledge of healthy adolescents and adults and those suffering from chronic diseases, after validation and/or calibration study is carried out. The reproducibility of the interviewer-administered questionnaire was better than its self-administered version. The reproducibility of the self-administered questionnaire was better in healthy subjects than in outpatients.

24 November 2020 in Nutrients
Verified
Journal Article
Open access
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Joanna KowalkowskaJoanna Kowalkowska
Joanna Kowalkowska
Lidia WadolowskaLidia Wadolowska
Lidia Wadolowska
JCJolanta Czarnocinska
Jolanta Czarnocinska
GGGrzegorz Galinski
Grzegorz Galinski
ADAnna Długosz
Anna Długosz
Magdalena Czlapka- MatyasikMagdalena Czlapka- Matyasik
Magdalena Czlapka- Matyasik
This study aimed to assess: (i) the test–retest reproducibility of identification of data-driven dietary patterns (DPs) derived using a Principal Component Analysis (PCA) and hypothesis-driven DPs (diet quality scores); (ii) the consistency of data-driven DPs with diet quality scores in sex and age subgroups of Poles aged 15–65 years. The study involved 504 subjects (55.6% of females). Data on food consumption frequency (33 food items) were collected twice with a two-week interval using the Dietary Habits and Nutrition Beliefs Questionnaire (KomPAN®) in a self-administered version (test and retest). Two major data-driven DPs (‘Prudent’ and ‘Western’) were identified in the total sample, sex groups and four age groups separately from test and retest data. Two diet quality scores were analysed: Pro-Healthy-Diet-Index-10 (pHDI-10) and Non-Healthy-Diet-Index-14 (nHDI-14). Tucker’s congruence coefficient indicated fair-to-good similarity of data-driven DPs between test and retest for all study subgroups, except for males. Across study subgroups, the intraclass correlation coefficient (ICC) between the test and retest ranged from 0.56 to 0.86 for ‘Prudent’ DP and 0.57 to 0.82 for ‘Western’ DP, with the lowest values in males. The ICC (test vs. retest) ranged from 0.84 to 0.88 for pHDI-10 and 0.75 to 0.88 for nHDI-14. Comparing the data-driven DPs and diet quality scores, the Spearman’s correlations ranged from 0.63 to 0.93 between ‘Prudent’ DP and pHDI-10, and from 0.60 to 0.81 between ‘Western’ DP and nHDI-14. The test–retest reproducibility of data-driven DPs and diet quality scores and their consistency were acceptable in most of the study subgroups, with a tendency to be higher for pro-health than unhealthy DPs. Data-driven DPs were more reproducible in females than males. The reproducibility of diet quality scores tended to be better in males than females and was the highest in 25–44-year-olds. The KomPAN® questionnaire can be recommended to use data-driven DPs and diet quality scores to describe the habitual diet in people aged 15–65 years.

1 August 2020 in The Journal of Nutrition
Verified
Journal Article
Closed access
ACAgata Chmurzynska
Agata Chmurzynska
MMMonika A Mlodzik-Czyzewska
Monika A Mlodzik-Czyzewska
GGGrzegorz Galinski
Grzegorz Galinski
AMAnna M Malinowska
Anna M Malinowska
ARAnna Radziejewska
Anna Radziejewska
DWDouglas J Wiebe
Douglas J Wiebe
The determinants of the intake of high-fat products are not well understood. The aim of this study was to examine the relations between fat perception, intake of high-fat food, and body-weight status, taking into account the polymorphism of the genes that encode the proteins involved in oral fat perception. A total of 421 participants aged 20-40 y were enrolled in Poznań, Poland, from 2016 to 2018. An ascending forced-choice triangle procedure was applied to determine fat discrimination ability. Salad dressings with varying concentrations of canola oil were used as stimuli. Genotyping of rs1761667 (CD36) rs1573611 [free fatty acid receptor 1 (FFAR1)], rs17108973 [free fatty acid receptor 4 (FFAR4)], and rs2274333 (CA6) was performed using TaqMan probes. The frequency of consumption of high-fat foods was measured using an application for mobile devices that uses the ecological momentary assessment approach. The associations were analyzed using linear regression or logistic regression, as appropriate. Individuals with the GG CD36 genotype were twice as likely to be fat discriminators, compared with the A allele carriers (P < 0.05). The mean total consumption of high-fat food was 45.8 (44.6, 47.0) times/wk and was not associated with fat discrimination or body-weight status. Obese and overweight subjects ate healthy high-fat food less frequently than did participants with normal body weight, at 4.53 (3.83, 5.23) versus 6.68 (5.82, 7.55) times/wk, respectively (P < 0.001). Men ate sweet high-fat food and snacks 15% less frequently than did women (P < 0.001 and P < 0.05) but consumed high-fat meat and fast food almost 40% more often than did women (P < 0.001 for both associations). In individuals aged 20-40 y, fat discrimination ability is associated with polymorphism of CD36 but not with the choice of high-fat food. The frequency of consumption of different types of high-fat foods varies by sex and body-weight status.

19 December 2016 in Nutrients
Verified
Journal Article
Open access
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GGGrzegorz Galinski
Grzegorz Galinski
MLMarta Lonnie
Marta Lonnie
Joanna KowalkowskaJoanna Kowalkowska
Joanna Kowalkowska
Lidia WadolowskaLidia Wadolowska
Lidia Wadolowska
JCJolanta Czarnocinska
Jolanta Czarnocinska
EBEwa Babicz-Zielinska
Ewa Babicz-Zielinska
Dietary restraint is a commonly reported practice observed among young females. The practice remains controversial and can be interpreted as a beneficial self-regulating behavior or the opposite, an eating disorder that may have a detrimental effect on health. The aim of this short report was to investigate if dietary restrictions are associated with dietary patterns in a representative sample of Polish girls. Analyses were carried out on data from the Girls’ Eating Behavior and Health (GEBaHealth) study. The sample included 1107 girls, ranging in age from 13 to 21 years old. Restrictions regarding food quantities and selected food groups were assessed using a standardized interview. Dietary patterns were identified with Principal Component Analysis (PCA), based on dietary data collected with Food Frequency Questionnaires (FFQs). Logistic regression analysis was used to study the associations between self-reported restrictions and each dietary pattern. In the total sample, 30.5% of girls reported following some food restrictions. The most common restrictions regarded consumption of sugar and/or sweets (23.7%), high-fat foods (22.4%), and fats (21.3%). Girls who declared following any restrictions, restrictions in food quantity and restrictions in the consumption of sugar and/or sweets, high-fat foods, fats, cereals and/or bread and/or potatoes were more likely to adhere to the “fruit and vegetables” (considered pro-healthy) dietary pattern (adjusted odds ratios (ORs): 1.55, 95% CI: 1.14–2.12; 1.61, 95% CI: 1.17–2.21; 1.81, 95% CI: 1.30–2.52; 1.46, 95% CI: 1.04–2.06; 1.96, 95% CI: 1.38–2.80 and 3.25, 95% CI: 1.97–5.37, respectively), and less likely to adhere to the “fast foods and sweets” (unhealthy) and “traditional Polish” (rather unhealthy) patterns, compared to girls who declared no restrictions. Declared restrictions in the consumption of foods high in sugar, fat, and starch were observed in girls in the “fruit and vegetables” pattern and were uncommon in girls with unhealthy dietary patterns. Although cautious interpretation is needed when considering restrictions in the overall quantity of food consumed, the results indicate that dietary restrictions of sugar, high-fat foods, fats, and starch may be considered predictors of both pro-healthy and unhealthy dietary patterns in the population of Polish girls.

1 January 2016
Verified
Journal Article
Closed access
KZKatarzyna Zaborowicz
Katarzyna Zaborowicz
JCJolanta Czarnocińska
Jolanta Czarnocińska
GGGrzegorz Galinski
Grzegorz Galinski
PKPaulina Kaźmierczak
Paulina Kaźmierczak
KGKarolina Górska
Karolina Górska
PDPaweł Durczewski
Paweł Durczewski

31 December 2009
Verified
Journal Article
Closed access
JCJ. Czarnocińska
J. Czarnocińska
JAJ. Anioła
J. Anioła
JGJ. Grabowska
J. Grabowska
GGGrzegorz Galinski
Grzegorz Galinski
LWL. Wa̧dołowska
L. Wa̧dołowska