Grajeda-León Gianella, Azurin-Gonzales Victoria, Mamani-Condori Zulema, Ñaña-Cordova Alvaro M, Bustamante-Ordoñez Marina A, Neyra-Cordova Fiorella, Parodi José F, Runzer Colmenares Fernando M
Carrera de Medicina Humana Universidad Científica del Sur Lima Peru.
Sociedad Cientifica de Estudiantes de Medicina de la Universidad Científica del Sur Lima Peru.
Aging Med (Milton). 2025 Apr 18;8(2):99-106. doi: 10.1002/agm2.70018. eCollection 2025 Apr.
To identify the factors contributing to anxiety among adults aged 65 and older receiving care at the Geriatric Service of the Naval Medical Center.
An analytical study was conducted through secondary analysis of a database from a study carried out between 2010 and 2015 at the Naval Medical Center of Peru (CEMENA). The data from 1686 participants were analyzed, with anxiety as the dependent variable, measured using the Hamilton Anxiety Rating Scale with a cutoff point of 14. The analysis was performed using STATA software. Bivariate analysis was conducted using the chi-squared and Student -tests, while Poisson regression was employed for multivariate analysis to determine the frequencies and associations between anxiety and the various variables.
In the multivariate analysis, anxiety was found to be significantly associated with gait speed (PR 1.11; 95% CI 1.03-1.20), depressive symptoms (PR 1.97; 95% CI 1.81-2.16), polypharmacy (PR 1.14; 95% CI 1.04-1.06), and education level (PR 0.83; 95% CI 0.76-0.90). Additionally, marital status was found to be associated with the likelihood of anxiety: being married (PR 0.64; 95% CI 0.53-0.77), widowed (PR 0.54; 95% CI 0.44-0.66), or divorced (PR 0.63; 95% CI 0.49-0.83) were all linked to a lower probability of anxiety compared to being single.
Factors such as depressive symptoms, polypharmacy, slow gait speed, education level, and marital status were found to be associated with anxiety in older adults.
确定在海军医疗中心老年科接受护理的65岁及以上成年人中导致焦虑的因素。
通过对2010年至2015年在秘鲁海军医疗中心（CEMENA）进行的一项研究的数据库进行二次分析，开展了一项分析性研究。对1686名参与者的数据进行了分析，以焦虑作为因变量，使用汉密尔顿焦虑量表进行测量，临界值为14。使用STATA软件进行分析。采用卡方检验和t检验进行双变量分析，同时采用泊松回归进行多变量分析，以确定焦虑与各种变量之间的频率和关联。
在多变量分析中，发现焦虑与步态速度（PR 1.11；95%CI 1.03 - 1.20）、抑郁症状（PR 1.97；95%CI 1.81 - 2.16）、多重用药（PR 1.14；95%CI 1.04 - 1.06）和教育水平（PR 0.83；95%CI 0.76 - 0.90）显著相关。此外，发现婚姻状况与焦虑可能性相关：已婚（PR 0.64；95%CI 0.53 - 0.77）、丧偶（PR 0.54；95%CI 0.44 - 0.66）或离婚（PR 0.63；95%CI 0.49 - 0.83）与单身相比，焦虑概率均较低。
发现抑郁症状、多重用药、步态速度慢、教育水平和婚姻状况等因素与老年人的焦虑有关。
