评估患有和未患有暴饮暴食症女性的营养充足率:一项综合评估。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Neda Lotfi Yagin, Soghra Aliasgharzadeh, Majid Mobasseri, Helda Tutunchi, Samaneh Hajarzadeh, Farzad Najafipour
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摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing nutritional adequacy ratios in women with and without binge eating disorder: a comprehensive evaluation.

Backgrounds: Bing eating disorder (BED) has been associated with a number of health problems. Remarkably little research has been done to measure dietary intake in people who suffer from binge eating disorder. This study aimed to compare the dietary intake and nutrient adequacy ratio (NAR) between BED individuals and those without BED and also to investigate the association between BED and NAR.

Methods: In this cross- sectional study, 180 overweight and obese females who aged between 19 and 50 years old and with BMI between 25 and 40 kg/m2 were interviewed. The women were categorized into BED and non- BED groups based on their earned score in Binge Eating Scale (BES) questionnaire. Nutritional adequacy ratio was assessed as Micronutrient adequacy ratio, Macronutrient adequacy ratio and total adequacy ratio (the sum of the previous two) based on last year's dietary intakes collected using a semi-quantitative food frequency questionnaire (FFQ). The odds of binge eating disorder across the nutritional adequacy scores were assessed using multiple logistic regression models. Data were analyzed using SPSS software.

Results: About 41.6% (n = 75) of the subjects were diagnosed with BED. Carbohydrate, saturated fats, sugar levels were significantly higher in women with BED compared to non-BED women (P < 0.05). All vitamins, with the exception of Retinol, and all minerals' levels were significantly lower in BED participants (P < 0.05). Micronutrient adequacy score and total adequacy score differed significantly between individuals with and without BED (P < 0.001) and non- BED group were significantly more nutritional adequate. The odds of having BED were lower in micronutrient, macronutrient adequate individuals (OR = 0.87, 95% CI = 0.78-0.98, P = 0.02), (OR = 0.81, 95% CI = 0.66-0.99, P = 0.049) respectively.

Conclusion: Overall, the results demonstrate low intake of key micronutrients and high intake of saturated fatty acids and carbohydrates among binge sufferers. Also, the findings indicate that individuals with BED experience a notably lower nutrient adequacy ratio compared to their peers without the disorder, suggesting that the eating behaviors associated with BED such as high consumption of processed foods and diet with low quality may lead to inadequate intake of vital nutrients.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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