Eating behavior and dietary practices are associated with age, sex, body mass index, and body fat in individuals with type 2 diabetes and/or hypertension in Brazil

IF 3.4 3区 医学 Q2 NUTRITION & DIETETICS Nutrition Research Pub Date : 2024-06-27 DOI:10.1016/j.nutres.2024.06.007
Antonio Orlando Farias Martins-Filho , Lilia Schug de Moraes , Cristina Bossle de Castilhos , Leonardo Pozza Santos , Ana Maria Pandolfo Feoli , Fernanda Michielin Busnello , Lúcia Rota Borges , Anne y Castro Marques , Renata Torres Abib Bertacco
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Abstract

Type 2 diabetes (T2DM), hypertension, and obesity are major contributors to global mortality. This study aimed to evaluate eating behavior and dietary practices among individuals with T2DM and/or hypertension, examining their associations with sociodemographic and anthropometric characteristics. We hypothesized that these factors may contribute to body mass index (BMI) and body fat (BF) levels in these individuals. In a cross-sectional study, adults/older individuals diagnosed with T2DM and/or hypertension were included. Eating behavior was evaluated via Three-factor Eating Questionnaire-R21. Dietary practices were assessed using the Dietary Guidelines for the Brazilian Population (DGBP) questionnaire. Poisson regression examined associations between eating behaviors, dietary practices, and sociodemographic factors. Linear regressions were employed to analyze relationships between eating behavior, dietary practices, BMI, and BF. The study included 275 primarily female (70.5%) participants under 60 years old (54.2%). Male and older participants had a lower prevalence of high scores in the 'emotional eating' (EE; PR: 0.40 [0.25;0.63]) and 'uncontrolled eating' (UE; PR: 0.68 [0.50;0.92]) domains. In contrast, older patients had a higher prevalence of adherence to the DGBP recommendations (PR:1.53 [1.20;1.94]). A positive association was observed between high EE (β:3.71 [1.98;5.44]) and UE (β:2.85 [1.15;4.55]) scores and BMI, whereas higher dietary practice scores (β:-2.19 [-3.88;-0.50]) were negatively associated with BMI. High EE (β:2.20 [0.38;4.02]) and UE (β:1.92 [0.17;3.67]) scores were positively associated with BF regardless of the confounding factors included. Higher scores on the dietary practices were inversely associated with BF (β:-1.94 [-3.67;-0.21]). Understanding dietary behaviors and practices can facilitate a more comprehensive and effective treatment approach.

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巴西 2 型糖尿病和/或高血压患者的饮食行为和饮食习惯与年龄、性别、体重指数和体脂的关系
2 型糖尿病 (T2DM)、高血压和肥胖症是导致全球死亡的主要因素。本研究旨在评估 T2DM 和/或高血压患者的饮食行为和饮食习惯,研究它们与社会人口学和人体测量特征的关系。我们假设这些因素可能会导致这些人的体重指数(BMI)和体脂(BF)水平。在一项横断面研究中,我们纳入了被诊断患有 T2DM 和/或高血压的成年人/老年人。饮食行为通过三因素饮食问卷-R21进行评估。饮食习惯通过巴西人口饮食指南(DGBP)问卷进行评估。泊松回归检验了饮食行为、饮食习惯和社会人口因素之间的关联。线性回归分析了饮食行为、饮食习惯、体重指数和血脂之间的关系。该研究包括 275 名主要为女性(70.5%)、年龄在 60 岁以下(54.2%)的参与者。男性和老年参与者在 "情绪化进食"(EE;PR:0.40 [0.25;0.63])和 "失控进食"(UE;PR:0.68 [0.50;0.92])领域的高分发生率较低。相比之下,老年患者遵守 DGBP 建议的比例更高(PR:1.53 [1.20;1.94])。高 EE(β:3.71 [1.98;5.44])和 UE(β:2.85 [1.15;4.55])得分与体重指数呈正相关,而较高的饮食实践得分(β:-2.19 [-3.88;-0.50])与体重指数呈负相关。高 EE (β:2.20 [0.38;4.02])和 UE (β:1.92 [0.17;3.67])得分与 BF 呈正相关,与混杂因素无关。饮食习惯得分越高,血脂越低(β:-1.94 [-3.67;-0.21])。了解饮食行为和习惯有助于采取更全面、更有效的治疗方法。
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来源期刊
Nutrition Research
Nutrition Research 医学-营养学
CiteScore
7.60
自引率
2.20%
发文量
107
审稿时长
58 days
期刊介绍: Nutrition Research publishes original research articles, communications, and reviews on basic and applied nutrition. The mission of Nutrition Research is to serve as the journal for global communication of nutrition and life sciences research on diet and health. The field of nutrition sciences includes, but is not limited to, the study of nutrients during growth, reproduction, aging, health, and disease. Articles covering basic and applied research on all aspects of nutrition sciences are encouraged, including: nutritional biochemistry and metabolism; metabolomics, nutrient gene interactions; nutrient requirements for health; nutrition and disease; digestion and absorption; nutritional anthropology; epidemiology; the influence of socioeconomic and cultural factors on nutrition of the individual and the community; the impact of nutrient intake on disease response and behavior; the consequences of nutritional deficiency on growth and development, endocrine and nervous systems, and immunity; nutrition and gut microbiota; food intolerance and allergy; nutrient drug interactions; nutrition and aging; nutrition and cancer; obesity; diabetes; and intervention programs.
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