| Literature DB >> 35350426 |
Javier López1, Gema Pérez-Rojo1, Cristina Noriega1, Jose Angel Martínez-Huertas2, Cristina Velasco1.
Abstract
Background: The COVID-19 pandemic is a major stressful life event. This pandemic is causing significant changes in older adults' daily life affecting their physical and mental health. Psychological wellbeing is a protective variable when facing adverse circumstances, like the COVID-19 pandemic. This study analyzes the impact of COVID-19 on older adults' psychological wellbeing (personal growth and purpose in life) over time. Materials andEntities:
Keywords: longitudinal study; older adults; personal growth; personal strengths; purpose in life
Year: 2022 PMID: 35350426 PMCID: PMC8957849 DOI: 10.3389/fpsyt.2022.837533
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Descriptive analysis along the three measurement occasions of the longitudinal study.
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| Age | 68.22 | 5.85 | ||||
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| Gender | ||||||
| Men | 58 | 30.3 | ||||
| Women | 134 | 69.7 | ||||
| Marital status | ||||||
| Single | 28 | 14.6 | ||||
| Married | 109 | 56.7 | ||||
| Divorced | 22 | 11.5 | ||||
| Widower or widow | 33 | 17.2 | ||||
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| Perceived health | ||||||
| Poor | 4.9 | 4.8 | 5.6 | |||
| Fair | 23.1 | 17.8 | 14.3 | |||
| Good | 47.8 | 53.1 | 60.3 | |||
| Very good | 24.2 | 24.3 | 19.8 | |||
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| COVID-19 consequences | ||||||
| Symptomatology | 12 | 88 | 6.6 | 93.4 | 11.9 | 88.1 |
| Hospitalization | 1.2 | 98.8 | 3.6 | 96.4 | 1.6 | 98.4 |
| Loved one hospitalization | 23.1 | 76.9 | 31.7 | 86.3 | 26.2 | 73.8 |
| Loss of a loved one | 14.3 | 85.7 | 23.4 | 76.6 | 21.4 | 78.6 |
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| Purpose in life | 28.8 | 5.5 | 28.6 | 4.3 | 29.3 | 5.0 |
| Personal growth | 31.5 | 5.7 | 32.2 | 5.5 | 31.9 | 6.1 |
| Experiential avoidance | 19.5 | 7.1 | 19.5 | 7.0 | 18.1 | 6.7 |
| Family functioning | 13.8 | 1.9 | 13.8 | 1.7 | 13.9 | 1.4 |
| Resilience | 16.2 | 2.9 | 15.4 | 3.0 | 15.9 | 3.5 |
| Gratitude | 7.7 | 2.9 | 7.6 | 3.1 | 7.6 | 3.1 |
| Worrying about adverse effects of COVID-19 | 1.4 | 0.8 | 1.5 | 0.8 | 1.5 | 0.8 |
T1–T3 = measurement occasion. N = 192 (T1), 167 (T2), 126 (T3).
Results from latent growth curve model with predictors for purpose in life.
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| Intercept (mean) | −0.019 | 0.041 | −0.456 |
| Slope (mean) | 0.083 | 0.025 | 3.306 |
| Intercept (variance) | 0.067 | 0.024 | 2.833 |
| Slope (variance) | – | – | – |
| Intercept and slope covariance | 0.008 | 0.008 | 0.936 |
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| Gender (ref: women) → Intercept | −0.171 | 0.402 | −0.426 |
| Gender (ref: women) → Slope | 3.577 | 1.211 | 2.953 |
| Age (years) → Intercept | 0.761 | 0.388 | 1.961t |
| Age (years) → Slope | 0.179 | 0.879 | 0.203 |
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| Personal growth | 0.301 | 0.030 | 10.086 |
| Avoidance | −0.211 | 0.032 | −6.544 |
| Family functioning | 0.067 | 0.027 | 2.461 |
| Resilience | 0.189 | 0.033 | 5.648 |
| Gratitude | −0.221 | 0.032 | −6.949 |
| Worrying about adverse effects of COVID-19 | 0.069 | 0.026 | 2.625 |
N = 192.
p < 0.01.
p < 0.05.
t = p < 0.10. ML and FIML estimations. Given that the continuous predictors were standardized, their estimations can be understood as standardized estimates. Time-varying predictor parameters were fixed to be equal across measurement moments.