高血压是中国老年人群中最常见的慢性疾病,占总人口的比例越来越大。患有慢性疾病的老年人比健康的老年人患抑郁症状的风险更高,正如中国的老年人口所证明的那样,高血压患者根据居住在城市或农村地区而表现出不同的抑郁率。
■本研究旨在调查中国城乡老年高血压患者抑郁症状差异的影响因素。
■我们使用了横断面研究设计,并从2018年第八届中国纵向健康长寿调查中得出了数据。应用Fairlie模型分析了导致城乡老年高血压患者抑郁症状差异的因素。
■本研究的样本量为5210,12.8%(n=669)的参与者表现出抑郁症状。城乡抑郁症状比例分别为14.1%(n=468)和10.7%(n=201),分别。在农村地区,受教育年限(1-6年:比值比[OR]0.68,95%CI1.10-1.21;≥7年:OR0.47,95%CI0.24-0.94),饮酒(是:OR0.52,95%CI0.29-0.93),锻炼(是:OR0.78,95%CI0.56-1.08),睡眠时间(6.0-7.9小时:OR0.29,95%CI0.17-0.52;8.0-9.9小时:OR0.24,95%CI0.13-0.43;≥10.0小时:OR0.22,95%CI0.11-0.41)是老年高血压患者抑郁症状的保护因素,而性别(女性:OR1.94,95%CI1.33-2.81),自我报告的收入状况(差:OR3.07,95%CI2.16-4.37),和日常生活活动(ADL)功能障碍(轻度:OR1.69,95%CI1.11-2.58;严重:OR3.03,95%CI1.46-6.32)是危险因素。在城市地区,年龄(90-99岁:OR0.37,95%CI0.16-0.81;≥100岁:OR0.19,95%CI0.06-0.66),运动(是:OR0.33,95%CI0.22-0.51),和睡眠持续时间(6.0-7.9小时:OR0.27,95%CI0.10-0.71;8.0-9.9小时:OR0.16,95%CI0.06-0.44;≥10.0小时:OR0.18,95%CI0.06-0.57)是保护因素,而教育年限(1-6年:OR1.91,95%CI1.05-3.49),自我报告的收入状况(差:OR2.94,95%CI1.43-6.08),ADL功能障碍(轻度:OR2.38,95%CI1.39-4.06;重度:OR3.26,95%CI1.21-8.76)是危险因素。Fairlie模型显示,91.61%的抑郁症状差异可以用协变量来解释,包括受教育年限(贡献63.1%),自我报告的收入状况(贡献13.2%),行使(贡献45.7%),睡眠持续时间(贡献20.8%),ADL功能障碍(贡献-9.6%),和合并症(贡献-22.9%)。
农村地区的老年高血压患者比城市地区的老年高血压患者有更多的抑郁症状,这可以用多年的教育来解释,自我报告的收入状况,锻炼,睡眠持续时间,ADL功能障碍,和合并症。影响抑郁症状的因素在运动方面有相似之处,睡眠持续时间,自我报告的收入状况,ADL功能障碍以及年龄差异,性别,多年的教育,和酒精消费。
UNASSIGNED: Hypertension is the most prevalent chronic disease among
China\'s older population, which comprises a growing proportion of the overall demographic. Older individuals with chronic diseases have a higher risk of developing depressive symptoms than their healthy counterparts, as evidenced in
China\'s older population, where patients with hypertension exhibit varying rates of depression depending on residing in urban or rural areas.
UNASSIGNED: This study aimed to investigate factors influencing and contributing to the disparities in depressive symptoms among older urban and rural patients with hypertension in
China.
UNASSIGNED: We used a cross-sectional study design and derived data from the 8th Chinese Longitudinal Health Longevity Survey of 2018. The Fairlie model was applied to analyze the factors contributing to disparities in depressive symptoms between urban and rural older populations with hypertension.
UNASSIGNED: The sample size for this study was 5210, and 12.8% (n=669) of participants exhibited depressive symptoms. The proportions of depressive symptoms in rural and urban areas were 14.1% (n=468) and 10.7% (n=201), respectively. In rural areas, years of education (1-6 years: odds ratio [OR] 0.68, 95% CI 1.10-1.21; ≥7 years: OR 0.47, 95% CI 0.24-0.94), alcohol consumption (yes: OR 0.52, 95% CI 0.29-0.93), exercise (yes: OR 0.78, 95% CI 0.56-1.08), and sleep duration (6.0-7.9 hours: OR 0.29, 95% CI 0.17-0.52; 8.0-9.9 hours: OR 0.24, 95% CI 0.13-0.43; ≥10.0 hours: OR 0.22, 95% CI 0.11-0.41) were protective factors against depressive symptoms in older adults with hypertension, while gender (female: OR 1.94, 95% CI 1.33-2.81), self-reported income status (poor: OR 3.07, 95% CI 2.16-4.37), and activities of daily living (ADL) dysfunction (mild: OR 1.69, 95% CI 1.11-2.58; severe: OR 3.03, 95% CI 1.46-6.32) were risk factors. In urban areas, age (90-99 years: OR 0.37, 95% CI 0.16-0.81; ≥100 years: OR 0.19, 95% CI 0.06-0.66), exercise (yes: OR 0.33, 95% CI 0.22-0.51), and sleep duration (6.0-7.9 hours: OR 0.27, 95% CI 0.10-0.71; 8.0-9.9 hours: OR 0.16, 95% CI 0.06-0.44; ≥10.0 hours: OR 0.18, 95% CI 0.06-0.57) were protective factors, while years of education (1-6 years: OR 1.91, 95% CI 1.05-3.49), self-reported income status (poor: OR 2.94, 95% CI 1.43-6.08), and ADL dysfunction (mild: OR 2.38, 95% CI 1.39-4.06; severe: OR 3.26, 95% CI 1.21-8.76) were risk factors. The Fairlie model revealed that 91.61% of differences in depressive symptoms could be explained by covariates, including years of education (contribution 63.1%), self-reported income status (contribution 13.2%), exercise (contribution 45.7%), sleep duration (contribution 20.8%), ADL dysfunction (contribution -9.6%), and comorbidities (contribution -22.9%).
UNASSIGNED: Older patients with hypertension in rural areas had more depressive symptoms than their counterparts residing in urban areas, which could be explained by years of education, self-reported income status, exercise, sleep duration, ADL dysfunction, and comorbidities. Factors influencing depressive symptoms had similarities regarding exercise, sleep duration, self-reported income status, and ADL dysfunction as well as differences regarding age, gender, years of education, and alcohol consumption.