Bounihi Abdenour, Saidi Hamza, Bouazza Asma, Benbaibeche Hassiba, Azzouz Malha, Koceir Elhadj Ahmed
Laboratory of Alimentation, Transformation, Contrôle et Valorisation des Agro-ressources, Ecole Supérieure des Sciences de l'Aliment et des Industries Agroalimentaires (ESSAIA), Algiers 16004, Algeria.
Bioenergetics and Intermediary Metabolism Team, Laboratory of Biology and Physiology of Organisms, Faculty of Biological Sciences, University of Sciences and Technology HOUARI BOUMEDIENE (USTHB), Algiers 16111, Algeria.
Healthcare (Basel). 2021 Sep 17;9(9):1229. doi: 10.3390/healthcare9091229.
Although the incidence of "diabesity" (coexistence of type 2 diabetes and obesity) is alarmingly increasing in Algeria, the diet-diabesity link has not been well defined. This study aimed to explore the association between dietary diversity score (DDS) and obesity among Algerian type 2 diabetic patients. It was a cross-sectional observational study involving 390 type 2 diabetic patients. Anthropometric data were gathered, and dietary intake information was obtained through a 24-h dietary recall method, which was used to calculate DDS. Potential confounders such as age, sex, smoking, physical activity and energy intake were controlled for using multivariate logistic regression. A total of 160 patients (41.3%) were classified as obese. As expected, obese patients had a higher body mass index, waist circumference, hip circumference, body fat and fat mass index. Furthermore, obese patients more frequently met carbohydrate recommendations and had a higher intake of meat and protein. Female sex, hypertension, low physical activity and high meat and protein intake were positively associated with diabesity. Additionally, higher DDS was positively associated with diabesity after adjusting for confounders. Thus, a more diversified diet may be a risk factor for obesity among Algerian type 2 diabetic patients.
尽管在阿尔及利亚，“糖尿病肥胖症”（2型糖尿病与肥胖症并存）的发病率正以惊人的速度上升，但饮食与糖尿病肥胖症之间的联系尚未明确界定。本研究旨在探讨阿尔及利亚2型糖尿病患者的饮食多样性评分（DDS）与肥胖症之间的关联。这是一项横断面观察性研究，涉及390名2型糖尿病患者。收集了人体测量数据，并通过24小时饮食回顾法获取饮食摄入信息，该方法用于计算DDS。使用多因素逻辑回归对年龄、性别、吸烟、身体活动和能量摄入等潜在混杂因素进行了控制。共有160名患者（41.3%）被归类为肥胖。正如预期的那样，肥胖患者的体重指数、腰围、臀围、体脂和脂肪量指数更高。此外，肥胖患者更常达到碳水化合物推荐量，且肉类和蛋白质摄入量更高。女性、高血压、低身体活动以及高肉类和蛋白质摄入量与糖尿病肥胖症呈正相关。此外，在对混杂因素进行调整后，较高的DDS与糖尿病肥胖症呈正相关。因此，对于阿尔及利亚2型糖尿病患者而言，更多样化的饮食可能是肥胖的一个危险因素。
