{"title":"Non-communicable diseases and risk factors profiling among geriatric population residing in Hyderabad city, India","authors":"Karthikeyan Ramanujam, Joyeeta Thakur, Rajitha Triveni Koralla, JJ Babu Geddam, Samarasimha Reddy N","doi":"10.1016/j.aggp.2025.100153","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>India's aging population, expected to reach 340 million by 2050, faces a growing burden of non-communicable diseases (NCDs) like hypertension, diabetes, and obesity.</div></div><div><h3>Objective</h3><div>In this study, we assessed the prevalence of Non communicable diseases among the elderly population residing in Hyderabad city in India and identified the associated risk factors.</div></div><div><h3>Methods</h3><div>We conducted a community-based cross-sectional study in an urban locality of Hyderabad city, Telangana state among 1320 elderly individuals aged 60 years and above. Data on anthropometric measurements, dietary intakes, socio-economic factors, and NCD history were collected using structured questionnaires and standardized tools. We have used descriptive statistics to estimate the burden of NCDs and a multivariable logistic regression was used for identifying the associated risk factors.</div></div><div><h3>Results</h3><div>We observed that among elderly population, 49.9% (95% CI 47.2%-52.6%) had reported hypertension, 25.8% (95% CI 23.5%-28.3%) had diabetes, and 44.3% (41%-47.5%) were obese, with women having notably higher burden for all three conditions. Dietary patterns showed moderate diversity, with only 41.2% elderly population consuming protein-rich foods weekly followed by 74.4% consuming vegetables. Multivariable analysis revealed that individuals with obesity had increased odds of hypertension (AOR 2.59; 95% CI 1.83–3.66) and diabetes (1.65; 95% CI 1.03–2.63) compared to individuals without obesity. The participants with abnormal waist hip ratio were at higher odds of having hypertension (AOR 1.66; 95% CI; 1.03–2.67).</div></div><div><h3>Conclusion</h3><div>Our findings highlight the significant burden of NCDs among urban elderly, driven by obesity and suboptimal dietary patterns. Public health policies should prioritize focusing on balanced nutrition for control of NCDs among elderly population.</div></div>","PeriodicalId":100119,"journal":{"name":"Archives of Gerontology and Geriatrics Plus","volume":"2 2","pages":"Article 100153"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Gerontology and Geriatrics Plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950307825000359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background
India's aging population, expected to reach 340 million by 2050, faces a growing burden of non-communicable diseases (NCDs) like hypertension, diabetes, and obesity.
Objective
In this study, we assessed the prevalence of Non communicable diseases among the elderly population residing in Hyderabad city in India and identified the associated risk factors.
Methods
We conducted a community-based cross-sectional study in an urban locality of Hyderabad city, Telangana state among 1320 elderly individuals aged 60 years and above. Data on anthropometric measurements, dietary intakes, socio-economic factors, and NCD history were collected using structured questionnaires and standardized tools. We have used descriptive statistics to estimate the burden of NCDs and a multivariable logistic regression was used for identifying the associated risk factors.
Results
We observed that among elderly population, 49.9% (95% CI 47.2%-52.6%) had reported hypertension, 25.8% (95% CI 23.5%-28.3%) had diabetes, and 44.3% (41%-47.5%) were obese, with women having notably higher burden for all three conditions. Dietary patterns showed moderate diversity, with only 41.2% elderly population consuming protein-rich foods weekly followed by 74.4% consuming vegetables. Multivariable analysis revealed that individuals with obesity had increased odds of hypertension (AOR 2.59; 95% CI 1.83–3.66) and diabetes (1.65; 95% CI 1.03–2.63) compared to individuals without obesity. The participants with abnormal waist hip ratio were at higher odds of having hypertension (AOR 1.66; 95% CI; 1.03–2.67).
Conclusion
Our findings highlight the significant burden of NCDs among urban elderly, driven by obesity and suboptimal dietary patterns. Public health policies should prioritize focusing on balanced nutrition for control of NCDs among elderly population.
印度的老龄化人口预计到2050年将达到3.4亿,他们面临着越来越多的非传染性疾病(NCDs),如高血压、糖尿病和肥胖。目的评估印度海得拉巴市老年人非传染性疾病的患病率,并确定相关危险因素。方法我们在泰伦加纳邦海德拉巴市的一个城区对1320名60岁及以上的老年人进行了以社区为基础的横断面研究。使用结构化问卷和标准化工具收集了人体测量、饮食摄入量、社会经济因素和非传染性疾病病史的数据。我们使用描述性统计来估计非传染性疾病的负担,并使用多变量逻辑回归来确定相关的风险因素。结果我们观察到,在老年人群中,49.9% (95% CI 47.2%-52.6%)报告有高血压,25.8% (95% CI 23.5%-28.3%)报告有糖尿病,44.3%(41%-47.5%)报告有肥胖,女性在这三种情况下的负担明显更高。老年人的饮食模式表现出适度的多样性,仅41.2%的老年人每周食用富含蛋白质的食物,74.4%的老年人每周食用蔬菜。多变量分析显示,肥胖个体患高血压的几率增加(AOR 2.59;95% CI 1.83-3.66)和糖尿病(1.65;95% CI 1.03-2.63)。腰臀比异常的参与者患高血压的几率更高(AOR 1.66;95%可信区间;1.03 - -2.67)。结论:我们的研究结果强调了非传染性疾病在城市老年人中的显著负担,这是由肥胖和次优饮食模式驱动的。公共卫生政策应优先关注均衡营养,以控制老年人非传染性疾病。