Mohamadzadeh Marzieh, Zanjari Nasibeh, Aliakbarzadeh Arani Zahra, Shoraka Hamidreza, Pirouzeh Razieh
Semelghan Health Center, North Khorasan University of Medical Sciences, Bojnurd, Iran.
Iranian Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Iran J Psychiatry. 2024 Oct;19(4):431-440. doi: 10.18502/ijps.v19i4.16556.
Attitudes toward aging (ATA) are among the most important determinants of well-being in old age. However, little research has examined factors contributing to their formation in middle-aged individuals. This study aimed to investigate predictors of attitudes toward aging among Iranian middle-aged individuals in 2022. This study recruited 330 people with a mean age of 56.5 ± 5.6 using multistage cluster sampling. Data were collected using a three-part questionnaire, including demographic factors, an attitude toward aging questionnaire (AAQ), and a multidimensional scale of perceived social support (MSPSS). The obtained data were analyzed using SPSS (v.22) statistical software to conduct t-tests, ANOVA, Pearson correlation, and linear regression. According to bivariate analysis, perceived social support (PSS), age, level of education, and perceived income adequacy (PIA) had a significant relation with the total ATA score (P < 0.05). According to regression analysis, family support (β = 0.288, P < 0.001), friend support (β = 0.188, P < 0.001), significant others support (β = 0.130, P = 0.04), age (β = 0.118, P = 0.002), and PIA (β = 0.290, P < 0.001) were the predictor factors of ATA and explained 41% of the variance. PSS and PIA were the predictors of all dimensions of ATA. The results highlight the role of potentially modifiable factors, such as PSS, PIA, and level of education, in shaping ATA. This requires interventions and policies that effectively promote social and financial support in middle-aged individuals.
对衰老的态度（ATA）是老年幸福感的最重要决定因素之一。然而，很少有研究探讨促成中年个体形成这些态度的因素。本研究旨在调查2022年伊朗中年个体对衰老态度的预测因素。 本研究采用多阶段整群抽样招募了330名平均年龄为56.5±5.6岁的人。使用一份由三部分组成的问卷收集数据，包括人口统计学因素、衰老态度问卷（AAQ）和多维感知社会支持量表（MSPSS）。使用SPSS（v.22）统计软件对获得的数据进行分析，以进行t检验、方差分析、Pearson相关性分析和线性回归。 根据双变量分析，感知社会支持（PSS）、年龄、教育水平和感知收入充足性（PIA）与ATA总分有显著关系（P<0.05）。根据回归分析，家庭支持（β=0.288，P<0.001）、朋友支持（β=0.188，P<0.001）、重要他人支持（β=0.130，P=0.04）、年龄（β=0.118，P=0.002）和PIA（β=0.290，P<0.001）是ATA的预测因素，解释了41%的方差。PSS和PIA是ATA所有维度的预测因素。 结果强调了潜在可改变因素，如PSS、PIA和教育水平，在塑造ATA方面的作用。这需要有效促进中年个体社会和经济支持的干预措施和政策。
