A Cross-Sectional Study on the Health Profile and Nutritional Status of Adults at Risk of Type 2 Diabetes Mellitus in Kuala Nerus, Terengganu

Ying Qian Ong, S. Harith, M. Shahril, N. Shahidan, Hermizi Hapidin
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Abstract

Surprisingly, 541 million people have impaired glucose tolerance (IGT) worldwide[1]. Prediabetes has been associated with an elevated risk of composite cardiovascular disease, coronary heart disease, stroke and all-cause mortality2 as well as an increased risk of type 2 diabetes mellitus (T2DM) than normal glycaemia[1]. In Malaysia, the undiagnosed diabetes prevalence has increased3. Health profile and nutritional status play a crucial role in prediabetes development. However, there is a scarcity of related health profile characteristics and nutritional status data in Kuala Nerus, Terengganu.   This cross-sectional study aimed to identify the health profile and nutritional status of adults at risk of T2DM in Kuala Nerus, Terengganu. A total of 30 respondents at moderate and high risk of T2DM (Finnish Type 2 Diabetes Risk Assessment Tool (FINDRISC) score > 4) aged 18 to 59 years old were recruited from Kuala Nerus using a convenience sampling method. Information on socio-demographic, anthropometric, fasting plasma glucose (FPG) level, clinical profile, FINDRISC score, dietary intake, and physical activity level were obtained. The data were analyzed using IBM SPSS system version 21.0 and Nutritionist ProTM software (Version 7.0.0, Axxya Systems). A descriptive statistic was used to present all outcomes. The continuous data were described as mean ± standard deviation (SD) whereas for categorical variables, the data were reported as the number of frequency and percentage.   The respondents (mean age: 36.1 ± 8.7 years) were predominantly female (76.7%), Malay (96.7%), married (43.3%), with tertiary education (60.0%), and employed (83.3%) with a monthly income ranging below RM 1000. Half of the respondents were from the obese class I category. However, they had a normal FPG (5.6 ± 0.5 mmol/L) and were normotensive with a normal heart rate. Also, they had an average FINDRISC score of 6.3 ± 1.8. The respondents had excessive energy, fat, vitamin C, and selenium intake with insufficient dietary fibre, vitamin A, E, and K, calcium, and magnesium intake. Most of them (63.3%) were minimally active. The mean energy intake of this study was in accord with Malaysian Adult Nutrition Survey (MANS) 2003 (2097 kcal) and MANS 2014 (2123 kcal) after excluding under-reporters [3]. The National Health Morbidity Survey (NHMS) 2019 stated that 25.1% of Malaysian adults were physically inactive which was slightly higher than the current study finding. On the contrary, a higher percentage (80.0%) of the study respondents were physically active than 74.9% as reported by NHMS (2019) [4].   It is vital to determine the health profile and nutritional status, which can provide important information for planning future cost-effective T2DM preventive strategies. This is because a strategic method of primary prevention for T2DM is by managing risk factors through lifestyle modification.
丁加奴和吉隆坡2型糖尿病风险成人健康状况和营养状况的横断面研究
令人惊讶的是,全世界有5.41亿人患有糖耐量受损(IGT)[1]。糖尿病前期与复合心血管疾病、冠心病、中风和全因死亡率的风险升高以及2型糖尿病(T2DM)的风险高于正常血糖相关[1]。在马来西亚,未确诊的糖尿病患病率有所上升。健康状况和营养状况在糖尿病前期发展中起着至关重要的作用。然而,在丁加奴的瓜拉内鲁斯,缺乏相关的健康概况特征和营养状况数据。本横断面研究旨在确定丁加奴市吉隆坡有2型糖尿病风险的成年人的健康状况和营养状况。采用方便抽样方法,从吉隆坡Nerus招募了30名年龄在18至59岁的T2DM中、高风险(芬兰2型糖尿病风险评估工具(FINDRISC)评分> 4)的受访者。获得了社会人口学、人体测量学、空腹血糖(FPG)水平、临床概况、FINDRISC评分、饮食摄入和身体活动水平的信息。采用IBM SPSS系统21.0版和Nutritionist prom软件(Axxya Systems公司7.0.0版)对数据进行分析。使用描述性统计来表示所有结果。连续数据用均数±标准差(SD)表示,分类变量用频数和百分比表示。受访者(平均年龄:36.1±8.7岁)主要是女性(76.7%),马来人(96.7%),已婚(43.3%),受过高等教育(60.0%),有工作(83.3%),月收入低于1000令吉。一半的调查对象属于1级肥胖人群。然而,他们的FPG正常(5.6±0.5 mmol/L),血压正常,心率正常。他们的FINDRISC平均得分为6.3±1.8。受访者的能量、脂肪、维生素C和硒摄入过多,而膳食纤维、维生素A、E和K、钙和镁摄入不足。大多数患者(63.3%)为轻度活动。排除少报者后,本研究的平均能量摄入与2003年马来西亚成人营养调查(MANS) (2097 kcal)和2014年马来西亚成人营养调查(2123 kcal)一致[3]。2019年全国健康发病率调查(NHMS)显示,25.1%的马来西亚成年人不运动,略高于目前的研究结果。相反,参与身体活动的受访者比例(80.0%)高于NHMS(2019)报告的74.9%[4]。确定健康状况和营养状况至关重要,这可以为规划未来具有成本效益的2型糖尿病预防策略提供重要信息。这是因为T2DM一级预防的战略方法是通过改变生活方式来管理风险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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