<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-29T23:52:27Z</responseDate><request verb="GetRecord" identifier="oai:bayburt-rdlopen.rawdatalibrary.net:bayburt/12742" metadataPrefix="oai_dc">https://bayburt-rdlopen.rawdatalibrary.net/oai/request</request><GetRecord><record><header><identifier>oai:bayburt-rdlopen.rawdatalibrary.net:bayburt/12742</identifier><datestamp>2026-10-29T19:42:44Z</datestamp><setSpec>openaire</setSpec><setSpec>com_bayburt_10000</setSpec><setSpec>col_bayburt_10001</setSpec><setSpec>com_bayburt_10007</setSpec><setSpec>col_bayburt_10225</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Effect of ultra-processed food consumption on premenstrual syndrome across different body mass index categories: a cross-sectional analysis</dc:title><dc:creator>Köktürk, Seda Nur</dc:creator><dc:creator>Taş Yıldırım, Esra</dc:creator><dc:creator>Yardımcı, Hülya</dc:creator><dc:subject>Body mass index</dc:subject><dc:subject>Nutrition</dc:subject><dc:subject>Obesity</dc:subject><dc:subject>Premenstrual syndrome</dc:subject><dc:subject>Ultra-processed foods</dc:subject><dc:description>Purpose – This study aimed to examine the association between ultra-processed food (UPF) consumption and premenstrual syndrome (PMS) across different body mass index (BMI) categories in women. Design/methodology/approach – A total of 480 women aged 20–49 years participated in the study between May 2024 and May 2025 in 3 cities in Türkiye. PMS symptoms were assessed using the Premenstrual Syndrome Scale (PMSS), and UPF intake was evaluated according to the NOVA classification using a food frequency questionnaire. Anthropometric measurements, including height and body weight, were taken by researchers, and BMI was calculated for each participant. Findings – The mean BMI of the participants was 24.2 ± 4.9 kg/m2, with an average daily UPF intake of 858.0 ± 133.3 g. Higher UPF intake was significantly associated with increased reporting of PMS, with 7.0% higher odds among normal-weight women, 19.0% higher odds among overweight women, and 41.0% higher odds among women with obesity. Moreover, as UPF consumption increased from the lowest (Q1) to the highest quartile (Q4), the odds of experiencing PMS symptoms were 2.65 times (OR: 2.65, %95 CI: 1.52–4.61), 2.85 times (OR: 2.85, %95 CI:1.60–4.95), and 3.07 times (OR: 3.07, %95 CI: 1.71–5.49) higher, respectively (p = 0.001). Research limitations/implications – These findings underscore a significant association between UPF consumption and PMS symptoms, particularly among women with obesity. Given the high prevalence of PMS and its substantial impact on women's well-being, dietary interventions aimed at reducing UPF intake may represent a promising approach for PMS management and prevention. Originality/value – To the best of our knowledge, this study is the first to examine the relationship between UPF intake and self-reported PMS presence across different BMI categories. 2026</dc:description><dc:publisher>Emerald Publishing</dc:publisher><dc:date>2026</dc:date><dc:type>Article</dc:type><dc:identifier>https://rdlopen.rawdatalibrary.net/r/bayburt/12742</dc:identifier><dc:identifier>https://doi.org/10.1108/bfj-10-2025-1393</dc:identifier><dc:identifier>0007-070X</dc:identifier><dc:language>en</dc:language><dc:relation>British Food Journal</dc:relation><dc:rights>info:eu-repo/semantics/closedAccess</dc:rights><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://bayburt-rdlopen.rawdatalibrary.net/tr/items/bayburt/12742</dc:identifier></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>