1. Targeting pediatric obesity through gender-specific nutritional strategies : insights from dietary intake and food sourcesTadeja Jakus, Breda Prunk Franetič, Tamara Poklar Vatovec, 2025, original scientific article Abstract: Background/Objectives: Childhood obesity remains a major global health challenge influenced by poor dietary patterns and excessive energy intake. Understanding gender-specific nutritional deviations may improve the effectiveness of preventive and therapeutic interventions. This study aimed to evaluate differences in energy and nutrient intake between boys and girls with overweight or obesity status and to identify the main food sources contributing to these differences. Methods: Data from a total of 180 participants (83 boys, 97 girls; 7–18 years) attending the national obesity intervention program Camp My Challenge was analyzed. Anthropometric parameters and dietary intake were assessed using a validated food-frequency questionnaire (OPKP). Intakes were compared with Slovenian dietary reference values (DRVs). Group differences were tested using ANOVA, t-tests, and Pearson correlations (p < 0.05). Results: Boys exhibited higher body mass (79.9 ± 22.6 kg vs. 69.2 ± 19.1 kg; p = 0.001) and BMI (30.8 ± 4.8 kg/m2 vs. 28.5 ± 4.4 kg/m2; p = 0.001). Mean energy intake was 2543 ± 1138 kcal/day, exceeding DRV by 16% (t = 3.31, p < 0.001). Girls exceeded energy requirements by 24.5% vs. 5.4% in boys (p = 0.019). Boys consumed significantly more total fat (106 ± 61 g vs. 85 ± 47 g; p = 0.014), saturated fatty acids (34 ± 20 g vs. 27 ± 13 g; p = 0.011), protein (119 ± 63 g vs. 98 ± 41 g; p = 0.008), and sodium (3628 ± 2086 mg vs. 2852 ± 1520 mg; p = 0.005). Girls showed higher sugar intake (208% vs. 166% of DRV; p = 0.032), mainly from sweet foods (24%) and fruit (26%), whereas beverages—predominantly isotonic drinks—accounted for 27% of boys’ sugar intake. Sugar intake correlated with waist circumference (r = 0.305, p = 0.002) and fat mass (r = 0.272, p = 0.007) in girls. Sodium intake exceeded DRV sixfold in both sexes. Conclusions: Marked sex-specific dietary disparities exist among children with obesity. Interventions should target high sugar and energy intake in girls and excessive fat, sodium, and sugar-sweetened beverage consumption in boys to enhance the efficacy of pediatric obesity management.
Keywords: childhood obesity, nutrition, dietary, sex-specific
Published in RUP: 10.01.2026; Views: 257; Downloads: 1
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2. Comparing the influence of early and late time-restricted eating with energy restriction and energy restriction alone on cardiometabolic markers, metabolic hormones and appetite in adults with overweight/obesity : per-protocol analysis of a 3-month randomized clinical trialBernarda Habe, Tanja Črešnovar, Ana Petelin, Saša Kenig, Nina Mohorko, Zala Jenko Pražnikar, 2025, original scientific article Abstract: Background It remains unclear whether adding time-restricted eating (TRE) to energy restriction (ER) offers additional cardiometabolic benefits, particularly in metabolic hormone regulation, and insulin sensitivity. This per-protocol analysis assessed whether early TRE (eTRE) or late TRE (lTRE), when combined with ER, additionally improves insulin resistance indexes, and cardiovascular and liver biomarkers compared to ER alone. Methods We analysed per-protocol data of 90 participants, 31 from the eTRE with ER (eTRE + ER) group, 28 from the lTRE with ER (lTRE + ER) group and 31 from the ER group. As chronotype-adapted diets have already been shown to produce better outcomes than non-adapted ones and in line with real-life behaviour, randomisation was performed on the basis of the individuals’ chronotype. Anthropometric and biochemical measurements for analysis were taken at baseline, and after first and third month of intervention. The primary outcome was mean change in body mass, while the secondary outcomes were mean changes in glycaemic markers (fasting glucose, fasting insulin), indexes of insulin resistance, cardiovascular and liver markers and metabolic hormones (adiponectin, ghrelin, leptin, leptin/ghrelin ratio). Additionally, participant’s subjective appetite was also assessed at baseline and in third month of the intervention. Results We confirmed that participants who adhered to eTRE + ER for 3 months showed greater improvements in % of fat mass, BMI, and fasting glucose compared to those in the lTRE + ER and/or ER group. These greater reductions in % of the fat mass and BMI were accompanied by more pronounced decreases in leptin levels, with eTRE + ER showing larger leptin reductions than lTRE + ER or ER. Additionally, the eTRE group showed a significantly greater decrease in desire for food and greater reduction in capacity to eat than ER. However, insulin levels, insulin resistance indexes, lipid profiles, adiponectin, ghrelin, visceral fat indexes, and liver enzymes showed similar changes across all groups. Conclusions This analysis showed that eTRE + ER is more effective weight management strategy, while eTRE + ER, lTRE + ER and ER are comparable effective on cardiovascular, liver and insulin resistance markers. Trial registration https://clinicaltrials.gov/study/NCT05730231 (NCT05730231, registered on February 6, 2023).
Keywords: obesity, nutrition, metabolism
Published in RUP: 30.07.2025; Views: 863; Downloads: 19
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3. Effects of time-restricted eating (early and late) combined with energy restriction vs. energy restriction alone on the gut microbiome in adults with obesityBernarda Habe, Tanja Črešnovar, Matjaž Hladnik, Jure Pražnikar, Saša Kenig, Dunja Bandelj, Nina Mohorko, Ana Petelin, Zala Jenko Pražnikar, 2025, original scientific article Abstract: Background: Early time-restricted eating combined with energy restriction (eTRE + ER) has been shown to reduce fat mass, diastolic blood pressure (DBP) and fasting glucose more effectively than late TRE with energy restriction (lTRE + ER) or energy restriction (ER) alone. Given the gut microbiome’s sensitivity to circadian rhythms, we examined whether adding TRE, particularly eTRE, to ER alters gut microbiota composition beyond ER alone, and whether such effects persist during follow-up. Methods: We analysed anthropometric, biochemical and gut microbiome data from 76 participants at baseline and after a 3-month intervention (eTRE + ER: n = 33; lTRE + ER: n = 23; ER: n = 20). Follow-up microbiome data 6-months after the end of intervention were available for 43 participants. Gut microbiota composition was assessed via 16S rRNA gene sequencing of stool samples. Results: No significant between-group differences in beta diversity were observed over time. However, changes in alpha diversity differed significantly across groups at the end of the intervention (Shannon: F = 5.72, p < 0.001; Simpson: F = 6.72, p < 0.001; Richness: F = 3.99, p = 0.01) and at follow-up (Richness: F = 3.77, p = 0.02). lTRE + ER led to the greatest reductions in diversity post intervention, while ER was least favourable during follow-up. Although no significant between-group differences were observed at the phylum level either at the end of the intervention or during follow-up, only the eTRE + ER group exhibited a significant decrease in Bacillota and an increase in Bacteroidota during follow-up. At the genus level, differential abundance analysis revealed significant shifts in taxa such as Faecalibacterium, Subdoligranulum, and other genera within the Ruminococcaceae and Oscillospiraceae families. In the eTRE + ER, Faecalibacterium and Subdoligranulum increased, while in other groups decreased. Notably, the changes in Faecalibacterium were negatively correlated with fasting glucose, while the increase in Subdoligranulum was inversely associated with DBP; however, both associations were weak in strength. Conclusions: eTRE + ER may promote beneficial, lasting shifts in the gut microbiome associated with improved metabolic outcomes. These results support further research into personalized TRE strategies for treatment of obesity.
Keywords: eating window, energy restriction, microbiota, alpha and beta diversity, metabolic health, obesity
Published in RUP: 17.07.2025; Views: 775; Downloads: 7
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4. Obesity measures and dietary parameters as predictors of gut microbiota phyla in healthy individualsKatja Kranjc, Ana Petelin, Jure Pražnikar, Esther Nova, Noemi Redondo, Marcos Ascensión, Zala Jenko Pražnikar, 2020, original scientific article Abstract: : The dynamics and diversity of human gut microbiota that can remarkably influence the wellbeing and health of the host are constantly changing through the host%s lifetime in response to various factors. The aim of the present study was to determine a set of parameters that could have a major impact on classifying subjects into a single cluster regarding gut bacteria composition. Therefore, a set of demographical, environmental, and clinical data of healthy adults aged 25%50 years (117 female and 83 men) was collected. Fecal microbiota composition was characterized using Illumina MiSeq 16S rRNA gene amplicon sequencing. Hierarchical clustering was performed to analyze the microbiota data set, and a supervised machine learning model (SVM; Support Vector Machines) was applied for classification. Seventy variables from collected data were included in machine learning analysis. The agglomerative clustering algorithm suggested the presence of four distinct community types of most abundant bacterial phyla. Each cluster harbored a statistically significant different proportion of bacterial phyla. Regarding prediction, the most important features classifying subjects into clusters were measures of obesity (waist to hip ratio, BMI, and visceral fat index), total body water, blood pressure, energy intake, total fat, olive oil intake, total fiber intake, and water intake. In conclusion, the SVM model was shown as a valuable tool to classify healthy individuals based on their gut microbiota composition.
Keywords: gut microbiota, nutrition, obesity, lifestyle parameters, clustering
Published in RUP: 10.09.2020; Views: 2937; Downloads: 81
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5. Interactions between person's cognition, food and biological processes over multidisciplinary interventionMaša Černelič Bizjak, Mojca Stubelj, Zala Jenko Pražnikar, 2015, original scientific article Abstract: The aim of the present study was to explore interactions between food, cognition and biological processes in relation to health. Therefore, we assessenergy intake, total fat, protein and carbohydrate intake and negative cognition about body image and inflammation biomarkers over 6-month multidisciplinary intervention. The participants were evaluated at baseline and after the 6-month of intervention. 33 overweight and 33 obese adults completed a 6-month intervention trial to evaluate the effects of an individual dietary programme based on individual's resting metabolic rate on anthropometry, metabolic profile, and inflammation. Pearson's correlations were performed to investigate the possible associations between reductions in obesity, inflammation, dietary intakes with decrease in body dissatisfaction. Furthermore, hierarchical multiple regression analyses revealed that relative changes in obesity indicators accounted for 23% of the variation in reduction of inflammation biomarker C- reactive protein, changes in composition of diet 13% of variation and changes in negative cognition explained an additional 8% of the variation in inflammation level of CRP. Together the independent variables accounted for 44% of the variance in inflammation level of CRP. The important findings of the present study were that reduction in carbohydrate intake and increase in protein intake in diet, with more positive cognition about body image,significantly predicted a reduction in level of inflammation biomarker, measured with CRP. Changes in energy intake and total fat intake and physical activity did not predicted reduction of inflammation.
Keywords: cognition, inflammation, CRP, intervention, image, obesity
Published in RUP: 14.10.2015; Views: 5724; Downloads: 123
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