نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مشاوره، دانشکده روانشناسی و علومتربیتی، دانشگاه محقق اردبیلی، اردبیل، ایران
2 گروه روانشناسی، دانشکده ادبیات و علوم انسانی، دانشگاه لرستان، خرم آباد، ایران
3 گروه روانشناسی، دانشکده روانشناسی و علوم تربیتی، دانشگاه تهران، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Due to aging, the resilience of older adults, defined as the ability to adapt and cope with challenges, is influenced by psychological factors. Therefore, the aim of this study was to examine the relationship between the sense of coherence and perceived social support with resilience, with the mediating role of adaptive cognitive emotion regulation strategies (ACERS) in older adults. This was a descriptive-correlational study, employing structural equation modeling (SEM). The statistical population included all older adults in Khorramabad, Iran in 2023, among whom 250 individuals were selected through convenience sampling. Data were collected using Zimet et al.’s perceived social support, Antonovsky’s sense of coherence, Garnefski and Kraaij’s cognitive emotion regulation, and Connor-Davidson’s resilience scales. The obtained data were analyzed using SPSS-26 and AMOS-24 software. Data analysis revealed that the sense of coherence and perceived social support significantly predict the resilience of older adults. Additionally, ACERS acted as a mediator in the relationship between the sense of coherence, perceived social support, and resilience. The findings indicated that both sense of coherence and perceived social support were positively related to resilience through ACERS. These results emphasize the importance of creating supportive environments and strengthening the sense of coherence in older adults to enhance their resilience. Thus, policymakers and social planners should focus on developing educational and supportive programs that enhance these factors to improve the quality of life for older adults.
EXTENDED ABSTRACT
Introduction
Research has shown that resilience, defined as the ability to cope with challenges and recover effectively, plays a critical role in the well-being of older adults. Considering the unique challenges faced during aging, such as declining physical health, chronic illnesses, and social isolation, strengthening resilience has become a key topic in gerontological research. Among the various factors influencing resilience, psychological constructs such as the sense of coherence and perceived social support have garnered significant attention. The sense of coherence, a concept introduced by Antonovsky, reflects an individual’s ability to perceive life as comprehensible, manageable, and meaningful. This concept has been consistently associated with positive psychological and emotional outcomes in the older population. Similarly, perceived social support, which includes emotional, informational, and practical assistance from family, friends, and the community, has been identified as an essential protective factor for older adults, reducing stress and enhancing their adaptability. Additionally, cognitive emotion regulation strategies, particularly adaptive ones, act as mediators in the relationship between psychological and social resources and resilience. However, there is a research gap in examining how these factors interact and their role in the resilience of older adults. Previous studies have primarily investigated these variables independently, without considering their interrelationships in an integrated model. Addressing these gaps in the literature, the present study aimed to examine the relationship between the sense of coherence and perceived social support with resilience in older adults, focusing on the mediating role of adaptive cognitive emotion regulation strategies (ACMRS). By addressing this gap, the study seeks to provide a comprehensive understanding of the factors enhancing resilience and inform the design of interventions to improve the quality of life for older adults.
Method
The present study was descriptive-correlational in nature, using structural equation modeling (SEM). The statistical population of this study included all older adults aged 60 and above living in Khorramabad County, Iran in 2023. The sample size consisted of 250 individuals (141 men and 109 women) selected through convenience sampling. The inclusion criteria were being aged 60 years or older and willing to participate in the research. The exclusion criteria included having a severe psychiatric or psychological disorder and the use of psychotropic medications based on self-reported medical history. Participants completed a set of standardized tools including Zimet et al.’s perceived social support, Antonovsky’s sense of coherence, Garnefski and Kraaij’s cognitive emotion regulation, and Connor-Davidson’s resilience scales. Data collection took place in public places such as parks, mosques, and cultural centers where older adults typically gather. Detailed instructions were provided to each participant, and the objectives of the study were explained, with an emphasis on the confidentiality of their responses. Written informed consent was obtained from all participants prior to their inclusion in the study. For data analysis, descriptive statistics and Pearson’s correlation coefficients were used to examine the bivariate correlations between research variables in SPSS-26, and SEM was analyzed using AMOS-24.
Results
Prior to conducting statistical analyses, assumptions related to SEM were assessed. The distribution of all variables was confirmed to be normal, and skewness and kurtosis values were within acceptable ranges. No multicollinearity among variables was observed, with tolerance values close to 1 and variance inflation factor (VIF) values less than 2. The fit indices of the proposed model, evaluated through SEM, indicated that the fit indices were within acceptable ranges (CFI=0.97, TLI=0.96, RMSEA=0.06), demonstrating the ability of the model to explain the relationships among variables. The results of direct effect coefficients showed that there is a significant direct relationship between the sense of coherence and resilience (β=0.39, p<0.01) and also a significant direct relationship between perceived social support and resilience (β=0.17, p<0.01). Additionally, ACMRS had a significant direct relationship with both the sense of coherence (β=0.64, p<0.01) and perceived social support (β=0.30, p<0.01). The direct relationship between ACMRS and resilience was also significant (β=0.29, p<0.05). Mediation analysis using the bootstrap method confirmed the partial mediating role of ACMRS in the relationship between the sense of coherence and resilience (β=0.18) and between perceived social support and resilience (β=0.08). In total, the predictor variables were able to explain 62% of the variance in resilience, highlighting the importance of these factors in enhancing the resilience of older adults. These findings provide empirical support for the proposed model and emphasize the role of psychological and social factors, along with adaptive cognitive strategies, in increasing resilience.
Conclusion
Findings of this study emphasize the crucial role of the sense of coherence and perceived social support in enhancing the resilience of older adults, particularly considering the mediating role of ACMRS. The results indicate that older adults with a stronger sense of coherence, perceiving life as meaningful, comprehensible, and manageable, are better able to cope with life’s challenges and, consequently, exhibit higher levels of resilience. Similarly, perceived social support, which includes emotional, informational, and instrumental support from family, friends, and the community, plays a fundamental role in enhancing resilience by fostering a sense of security and belonging. The mediating role of ACMRS, such as positive reappraisal, refocusing, and acceptance, highlights the importance of emotional regulation in strengthening resilience. These strategies enable older adults to effectively manage negative emotions and stress, thereby improving their ability to adapt to adverse conditions. The findings of this study are consistent with previous research, which has consistently shown that internal resources (such as the sense of coherence) and external resources (such as social support) are vital for enhancing resilience in older adults. Overall, this research provides a comprehensive model for understanding the mechanisms through which the sense of coherence and perceived social support contribute to the resilience of older adults. The findings underscore the importance of strengthening the sense of coherence, expanding social support networks, and teaching ACMRS as a part of interventions to enhance resilience and overall well-being in older adults. These insights can inform the development of targeted programs and policies to support healthy aging and improve the quality of life for older adults.
Ethical Consideration
This research adhered to all ethical guidelines. Informed consent was obtained from participants, and their confidentiality was maintained. Participation in the study was voluntary, and data were used solely for research purposes.
Financial Support
This research did not receive any financial support.
Authors’ Contributions
MHN: Conceptualization, design, Writing–Original Draft, Software Validation, Formal analysis, Visualization, Writing–Review & Editing, Data Curation. MNH: Conceptualization, design, Writing–Original Draft, Visualization, Writing– Review & Editing, Data Curation. MS: Visualization, Writing–Review & Editing. ESD: Visualization, Writing – Review & Editing.
Conflict of Interest
The author had no conflicts of interest.
Acknowledgments
The authors would like to express their gratitude to all the participants who contributed to the completion of this research.
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