Ronit Anbar

Dr. Ronit Anbar


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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16 November 2021 in Nutrients
Verified
Journal Article
Open access
PDF file
LELarisa Einav
Larisa Einav
AHAyal Hirsch
Ayal Hirsch
YRYulia Ron
Yulia Ron
NCNathaniel Aviv Cohen
Nathaniel Aviv Cohen
SLSigalit Lahav
Sigalit Lahav
NINaomi Fliss Isakov
Naomi Fliss Isakov
(1) Background: Malnutrition is a highly prevalent complication in patients with inflammatory bowel diseases (IBD). It is strongly associated with poor clinical outcomes and quality of life. Screening for malnutrition risk is recommended routinely; however, current malnutrition screening tools do not incorporate IBD specific characteristics and may be less adequate for screening these patients. Therefore, we aimed to identify IBD-related risk factors for development of malnutrition. (2) Methods: A retrospective case-control study among IBD patients attending the IBD clinic of the Tel-Aviv Medical Center for ≥2 consecutive physician consultations per year during 2017–2020. Cases who had normal nutritional status and developed malnutrition between visits were compared to matched controls who maintained normal nutritional status. Detailed information was gathered from medical files, including: demographics, disease phenotype, characteristics and activity, diet altering symptoms and comorbidities, medical and surgical history, annual healthcare utility, nutritional intake and the Malnutrition Universal Screening Tool (MUST) score. Univariate and multivariate analyses were used to identify malnutrition risk factors. The independent risk factors identified were summed up to calculate the IBD malnutrition risk score (IBD-MR). (3) Results: Data of 1596 IBD patients met the initial criteria for the study. Of these, 59 patients developed malnutrition and were defined as cases (n = 59) and matched to controls (n = 59). The interval between the physician consultations was 6.2 ± 3.0 months, during which cases lost 5.3 ± 2.3 kg of body weight and controls gained 0.2 ± 2.3 kg (p < 0.001). Cases and controls did not differ in demographics, disease duration, disease phenotype or medical history. Independent IBD-related malnutrition risk factors were: 18.5 ≤ BMI ≤ 22 kg/m2 (OR = 4.71, 95%CI 1.13–19.54), high annual healthcare utility (OR = 5.67, 95%CI 1.02–31.30) and endoscopic disease activity (OR = 5.49, 95%CI 1.28–23.56). The IBD-MR was positively associated with malnutrition development independently of the MUST score (OR = 7.39, 95%CI 2.60–20.94). Among patients with low MUST scores determined during the index visit, identification of ≥2 IBD-MR factors was strongly associated with malnutrition development (OR = 8.65, 95%CI 2.21–33.82, p = 0.002). (4) Conclusions: We identified IBD-related risk factors for malnutrition, highlighting the need for a disease-specific malnutrition screening tool, which may increase malnutrition risk detection.

17 November 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
EDEfrat Paz Dubinsky
Efrat Paz Dubinsky
TATomer Avnon
Tomer Avnon
SSSivan Shaham
Sivan Shaham
YSYaffa Shiff
Yaffa Shiff
YYYariv Yogev
Yariv Yogev
RARonit Anbar
Ronit Anbar
Objective: The implications of strictly vegan diets during pregnancy remains insufficiently understood, we aimed to determine the impact of specific components of vegan diet on pregnancy outcomes, with particular emphasis on ne-onatal birthweight. Methods: This secondary analysis of a prospective observational study included women with singleton pregnancies who delivered at a single medical center and adhered to a consistent diet. Participants were classified as vegan or non-vegan and reported demo-graphic data and supplement use. During the third trimester, women completed a validated Food Frequency Questionnaire. Pregnancy outcomes were retrieved from a computerized database. SGA was defined as birthweight < 10th percentile. Results: Among 230 participants, 54 followed a vegan diet. Vegan diet had lower protein intake (60 vs. 82 g/day, p < 0.001). Higher protein percentage was associated with lower risk of SGA (RR=0.8, 95% CI: 0.673-0.956, p < 0.014). Amino acids profile differed significantly, with Leucine showing the strongest association with birthweight (p=0.003). vegan diets included higher carbohydrate (256 vs. 217 g), fiber (48 vs. 30 g), folate (627 vs. 416 µg), and iron (17 vs. 12 mg) intake, and lower fat (72 vs. 79 g), calcium (764 vs. 1053 mg), vitamin D (0.24 vs. 5.5 µg), vitamin B12 (1.5 vs. 4.6 µg), DHA (0 vs. 0.07 g), and choline (270 vs. 394 mg) (all p< 0.05). Conclusions: Vegan diet during pregnancy may increase the risk of SGA, possibly due to inadequate protein intake and composition, particularly leucine. Vitamin D, calcium, B12, and choline deficiencies are more common in vegan pregnant women.