Multiple sclerosis and related disorders · 2026
Higher ultra-processed food consumption is associated with higher likelihood of paediatric-onset multiple sclerosis.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Machado Priscila, Mazahery Hajar, Black Lucinda J, Tremlett Helen, Daly Alison, Pham Ngoc Minh, Tessema Gizachew A, Zhu Feng, Banwell Brenda, Bar-Or Amit, Marrie Ruth Ann, Bernstein Charles N, Mirza Ali I, Yeh E Ann, Waubant Emmanuelle, O'Mahony Julia, Dunlop Eleanor, Canadian Demyelinating Disease Network
Аннотация
BACKGROUND: Diets are increasingly dominated by ultra-processed foods, which have been linked to several chronic diseases. Emerging evidence suggests an association between ultra-processed food consumption and inflammatory diseases, including multiple sclerosis (MS).
OBJECTIVE: To assess associations between consumption of ultra-processed foods and paediatric-onset MS (PoMS).
METHODS: We used data from the microbiome sub-study of the Canadian Pediatric Demyelinating Disease Network Study for PoMS cases (symptom onset aged <18 years) and unaffected controls. Data on consumption of ultra-processed foods (defined within the Nova system) were derived from dietary intake data collected using the Block Kids Food Screener. Dietary contribution of ultra-processed foods (% of total grams consumed per day) was estimated. Logistic regression models were used to examine associations between ultra-processed food consumption (continuous and tertiles) and likelihood of PoMS. Models were adjusted for age at dietary data collection, sex, race, region of residence, and total energy intake.
RESULTS: Dietary data were collected from PoMS participants (females=57, males=23) aged 5-28 years and controls (females=30, males=16) aged 8-26 years. Each additional 10% in ultra-processed food consumption was associated with a 35% higher odds of being a PoMS participant (adjusted odds ratio [aOR]=1.35, 95% CI 1.05, 1.73). Participants in the highest (versus lowest) tertile for ultra-processed food consumption had over five times higher odds of being a PoMS participant (aOR=5.30, 95% CI 1.36, 20.70).
CONCLUSION: Participants with PoMS reported greater consumption of ultra-processed foods compared to unaffected peers. More comprehensive longitudinal dietary histories are required to better understand this observation.
OBJECTIVE: To assess associations between consumption of ultra-processed foods and paediatric-onset MS (PoMS).
METHODS: We used data from the microbiome sub-study of the Canadian Pediatric Demyelinating Disease Network Study for PoMS cases (symptom onset aged <18 years) and unaffected controls. Data on consumption of ultra-processed foods (defined within the Nova system) were derived from dietary intake data collected using the Block Kids Food Screener. Dietary contribution of ultra-processed foods (% of total grams consumed per day) was estimated. Logistic regression models were used to examine associations between ultra-processed food consumption (continuous and tertiles) and likelihood of PoMS. Models were adjusted for age at dietary data collection, sex, race, region of residence, and total energy intake.
RESULTS: Dietary data were collected from PoMS participants (females=57, males=23) aged 5-28 years and controls (females=30, males=16) aged 8-26 years. Each additional 10% in ultra-processed food consumption was associated with a 35% higher odds of being a PoMS participant (adjusted odds ratio [aOR]=1.35, 95% CI 1.05, 1.73). Participants in the highest (versus lowest) tertile for ultra-processed food consumption had over five times higher odds of being a PoMS participant (aOR=5.30, 95% CI 1.36, 20.70).
CONCLUSION: Participants with PoMS reported greater consumption of ultra-processed foods compared to unaffected peers. More comprehensive longitudinal dietary histories are required to better understand this observation.