نوع مقاله : مقاله پژوهشی

نویسندگان

1 Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran

2 Faculty of Psychology & Educational Sciences, Allameh Tabataba’i University, Tehran, Iran.

چکیده

Research findings have shown that personality characteristics play an important role in studying factors affecting anxiety among older adults. Despite the importance of this relationship, its underlying mechanism is still unclear. Therefore, the aim of this study was to investigate the mediating role of sense of coherence in the relationship between neuroticism and self-esteem as personality characteristics and anxiety among older adults. A cross-sectional and correlational design was used for this study. The sample included 230 community-dwelling older adults (aged 60-97) from November to December 2019 in Tehran. Data were collected through the sociodemographic variables, the Geriatric Anxiety Inventory-20 (Pachana, 2007), the Sense of Coherence-13 scale (Antonovsky, 1993), the Big Five Inventory (Rammstedt & John, 2007) and the Rosenberg Self-Esteem Scale (Rosenberg, 1965). Based on a multi-stage sampling approach, data were collected and analyzed with the structural equation modeling. The older adults with high scores in neuroticism and low self-esteem showed a low level of sense of coherence. Low level of sense of coherence was associated with fewer symptoms of anxiety in older adults. Besides, sense of coherence partially mediated the relationship between personality characteristics (neuroticism and self-esteem) and anxiety in the elderly.
Regarding the mediating effect of sense of coherence in the relationship between personality characteristics (neuroticism and self-esteem) and anxiety, improving the level of sense of coherence may be an acceptable intervention to alleviate anxiety among older adults that suffer from neuroticism and low self-esteem.

کلیدواژه‌ها

عنوان مقاله [English]

Personality characteristics, sense of coherence, and late-life anxiety: A structural equation modeling

نویسندگان [English]

  • Saba Naderzadeh 1
  • Mahdi Khanjani 2

1 Faculty of Psychology and Educational Sciences, Allameh Tabataba'i University, Tehran, Iran

2 Faculty of Psychology & Educational Sciences, Allameh Tabataba’i University, Tehran, Iran.

چکیده [English]

Introduction and aim: Research shows that personality characteristics play an important role in studying factors affecting anxiety among older adults. Despite the importance of this relationship, its underlying mechanism is still unclear. Therefore, the aim of this study is to investigate the mediating role of sense of coherence in the relationship between neuroticism and self-esteem as personality characteristics and anxiety among older adults.
Methods: A cross-sectional and correlational design was used for this study. The sample included 230 community-dwelling older adults (aged 60-97) from November to December 2019 in Tehran. Data on sociodemographic variables, Geriatric Anxiety Inventory-20 (Pachana, 2007), Sense of Coherence-13 (Antonovsky, 1993), Big Five Inventory (Rammstedt & John, 2007) and Rosenberg Self-Esteem Scale (Rosenberg, 1965) based on a multi-stage sampling approach were collected and analyzed with the structural equation modeling.
Results: The older adults with high scores in neuroticism and low self-esteem showed a low level of sense of coherence. Low level of sense of coherence was associated with fewer symptoms of anxiety in older adults. Besides, sense of coherence partially mediated the relationship between personality characteristics (neuroticism and self-esteem) and anxiety in the elderly.
Conclusion: Regarding the mediating effect of sense of coherence in the relationship between personality characteristics (neuroticism and self-esteem) and anxiety, improving the level of sense of coherence may be an acceptable intervention to alleviate anxiety among older adults that suffer from neuroticism and low self-esteem.

کلیدواژه‌ها [English]

  • neuroticism
  • self-esteem
  • sense of coherence
  • late-life anxiety
  • structural equation modeling
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