R. Biswal, B. Kumar Subudhi, Somanath Sethi, J. Kshatri, T. Bhoi
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The binary logistic regression model was used to find out the predictors of HTN. Results: This cross-sectional study found an HTN prevalence of 34.75% (n = 252) among rural older adults. Factors found to be significantly associated with HTN were female gender (adjusted odds ratio [AOR] = 1.73, confidence interval [CI] = 1.129–2.666), elderly aged ≥80 years (AOR = 1.98, CI = 1.170–3.379), not working elderly (AOR = 2.14, CI = 1.178–3.89), lower-middle socioeconomic status (SES) (AOR = 1.61, CI = 1.093–2.372), overweight elderly (AOR = 2.01, CI = 1.309–3.098) and diabetics (AOR = 4.56, CI = 2.704–7.718), respectively. Conclusion: HTN prevalence was found to be high in the rural area, and the factors such as female gender, elderly aged ≥80 years, not working elderly, lower-middle SES, overweight elderly, and diabetes were found to be the determinants of HTN in the rural elderly population of Odisha.","PeriodicalId":350641,"journal":{"name":"Journal of the Indian Academy of Geriatrics","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors affecting hypertension among rural geriatric population in Odisha: Findings from AHSETS study\",\"authors\":\"R. Biswal, B. Kumar Subudhi, Somanath Sethi, J. Kshatri, T. 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Results: This cross-sectional study found an HTN prevalence of 34.75% (n = 252) among rural older adults. Factors found to be significantly associated with HTN were female gender (adjusted odds ratio [AOR] = 1.73, confidence interval [CI] = 1.129–2.666), elderly aged ≥80 years (AOR = 1.98, CI = 1.170–3.379), not working elderly (AOR = 2.14, CI = 1.178–3.89), lower-middle socioeconomic status (SES) (AOR = 1.61, CI = 1.093–2.372), overweight elderly (AOR = 2.01, CI = 1.309–3.098) and diabetics (AOR = 4.56, CI = 2.704–7.718), respectively. 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引用次数: 0
摘要
背景:全世界约有12.8亿30-79岁的成年人患有高血压(HTN),其中大多数(三分之二)生活在印度等低收入和中等收入国家。而只有不到一半(42%)的HTN成年人得到诊断和治疗。本研究旨在估计奥里萨邦卡塔克区提吉拉街区农村老年人口HTN的患病率并确定其决定因素。方法:采用概率与样本比例(PPS)抽样方法,于2019-2020年对725名农村老年人(60 ~ 60岁)进行横断面研究。医务人员诊断的既往HTN病史为HTN阳性。采用卡方检验进行双变量分析。采用二元logistic回归模型寻找HTN的预测因子。结果:本横断面研究发现,HTN在农村老年人中的患病率为34.75% (n = 252)。与HTN显著相关的因素分别为女性(调整优势比[AOR] = 1.73,可信区间[CI] = 1.129 ~ 2.666)、≥80岁老年人(AOR = 1.98, CI = 1.170 ~ 3.379)、不工作老年人(AOR = 2.14, CI = 1.178 ~ 3.89)、中低社会经济地位(AOR = 1.61, CI = 1.093 ~ 2.372)、超重老年人(AOR = 2.01, CI = 1.304 ~ 3.098)和糖尿病患者(AOR = 4.56, CI = 2.704 ~ 7.718)。结论:奥里萨邦农村老年人群HTN患病率较高,女性、年龄≥80岁的老年人、不工作的老年人、中下社会经济地位、老年人超重、糖尿病等因素是影响HTN的决定因素。
Factors affecting hypertension among rural geriatric population in Odisha: Findings from AHSETS study
Background: Worldwide, around 1.28 billion adults, aged 30–79 years have hypertension (HTN) and most (two-thirds) of them living in low- and middle-income countries like India. While only less than half of adults (42%) with HTN are diagnosed and treated. This study is an effort to estimate the prevalence and determine the determinants of HTN among the rural elderly population in Tigira block, Cuttack district of Odisha. Methodology: This cross-sectional study was carried out among 725 rural elderly (>60 years) people using probability proportionate to sample (PPS) sampling in the year 2019–2020. Previous medical history of HTN diagnosed by medical professional was taken as positive for HTN. Bivariate analysis was performed using the Chi-square test. The binary logistic regression model was used to find out the predictors of HTN. Results: This cross-sectional study found an HTN prevalence of 34.75% (n = 252) among rural older adults. Factors found to be significantly associated with HTN were female gender (adjusted odds ratio [AOR] = 1.73, confidence interval [CI] = 1.129–2.666), elderly aged ≥80 years (AOR = 1.98, CI = 1.170–3.379), not working elderly (AOR = 2.14, CI = 1.178–3.89), lower-middle socioeconomic status (SES) (AOR = 1.61, CI = 1.093–2.372), overweight elderly (AOR = 2.01, CI = 1.309–3.098) and diabetics (AOR = 4.56, CI = 2.704–7.718), respectively. Conclusion: HTN prevalence was found to be high in the rural area, and the factors such as female gender, elderly aged ≥80 years, not working elderly, lower-middle SES, overweight elderly, and diabetes were found to be the determinants of HTN in the rural elderly population of Odisha.