统计和机器学习评估对科威特糖尿病意识的态度,知识和感知因素
Ahmad T Al-Sultan1, Ahmad Alsaber2, Jiazhu Pan3
1Department of Community Medicine and Behavioral Sciences, College of Medicine, Kuwait University, Kuwait City, Kuwait. a.alsultan@ku.edu.kw.
BMC medical informatics and decision making
|October 15, 2025
概括
高龄,男性性别和脏问题增加了科威特的糖尿病风险. 肥胖和先前的妊娠糖尿病似乎有保护作用. 有针对性的公共卫生战略对于糖尿病管理和预防至关重要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 卫生政策 卫生政策
背景情况:
- 糖尿病是一个日益严重的全球健康问题,需要对其贡献因素进行研究.
- 了解对糖尿病的行为和人口影响是科威特有效预防和个性化干预的关键.
研究的目的:
- 识别和分析影响糖尿病意识和感知的因素.
- 评估当前的健康意识计划,并确定有关糖尿病的知识差距.
主要方法:
- 一项涉及1268名参与者 (391名糖尿病人,877名非糖尿病人) 的横截面定量研究在科威特进行.
- 按年龄,性别,地区和国籍进行分层抽样.
- 利用机器学习 (随机森林) 和后勤回归来分析人口统计因素和糖尿病之间的关系.
主要成果:
- 60岁以上的年龄 (OR 11.47) 和46-60岁 (OR 5.79) 与18-30岁相比,糖尿病的可能性显著增加.
- 男人 (OR 2.27),医务人员频繁互动 (OR 1.41) 和脏并发症 (OR 1.60) 与糖尿病风险更高有关.
- 超重 (OR 0.55) 和之前与怀孕相关的糖尿病 (OR 0.65) 显示有保护作用.
结论:
- 性别,年龄,脏疾病和医疗保健相互作用与科威特的糖尿病意识和态度有很大关系.
- 年长的男性面临更高的风险,而肥胖和先前的妊娠糖尿病似乎有保护作用.
- 调查结果强调,需要制定量身定制的公共卫生政策和教育计划,考虑到糖尿病管理和预防的人口因素.
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