Prediabetes among Overweight Individuals residing in an Urban Area of Kanpur: A Cross-Sectional Study
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 250
- 试验地点
- 1
- 主要终点
- The proportion of prediabetes among overweight urban adults in Kanpur was assessed at baseline using fasting and laboratory analysis, and is expressed as the percentage of participants who met the prediabetes diagnostic criteria at the time of screening.
研究概览
简要总结
This cross-sectional study aims to estimate the prevalence of prediabetes among overweight young adults residing in urban Kanpur. It will investigate the impact of lifestyle habits such as diet, physical activity, sleep quality, and stress on hormonal and biochemical markers associated with prediabetes. Data will be collected through questionnaires, anthropometric measurements, and blood samples. Advanced artificial intelligence techniques will be used to analyze the data, identify key determinants, and develop a predictive model for prediabetes risk. The study seeks to provide insights to support early interventions and preventive strategies tailored for young adults at risk of developing type 2 diabetes.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 40.00 Year(s)（—）
- 性别
- All
入选标准
- •Male & female subjects age between 18-40 years.
- •Have no known metabolic or endocrine disorders.
- •Be willing to complete questionnaires.
排除标准
- •Are critically ill or pregnant.
- •Have undergone significant lifestyle changes in the last six months (e.g., major weight loss/gain, started a new exercise program).
- •Have a history of substance abuse within the last year (e.g., drugs or alcohol).
- •Have any physical disability that limits mobility or prevents participation in the anthropometric assessments.
结局指标
主要结局
The proportion of prediabetes among overweight urban adults in Kanpur was assessed at baseline using fasting and laboratory analysis, and is expressed as the percentage of participants who met the prediabetes diagnostic criteria at the time of screening.
时间窗: All outcomes will be measured at baseline (initial screening and sample collection). Predictive model outcomes will be generated after data analysis is completed.
次要结局
未报告次要终点
研究者
Yashika Bhardwaj
School of Health Sciences, Chhatrapati Shahu Ji Maharaj University, Kanpur, Uttar Pradesh, India