Given the vulnerability of older people to COVID-19, it is important to consider their physical and mental wellbeing and quality of life (QoL) in the COVID-19 pandemic. Therefore, the present study ...was aimed to identify the QoL and its predictive factors among a sample of Iranian older adults during the COVID-19 pandemic.
This descriptive and cross-sectional study was conducted on 500 older people residing in Qazvin, Iran, from May 22th to November 21rd, 2021. Multistage cluster sampling method was used for selecting the eligible older adults. Data were collected using the demographic checklist, fear of COVID-19 scale, and Elderly Quality of Life Questionnaire (LIPAD). The multivariate regression model was used for determining the predictive factors of QoL in older people.
The mean age of older participants was 69.17 ± 6.75 years old. The results of multivariate regression model showed that fear of COVID-19, age, marital status, level of education, living arrangement, and economic situation were the significant predictors of QoL in the older adults during the COVID-19 pandemic.
It is recommended to pay close attention to divorced, lonely, and illiterate older people and those with low economic situation during the COVID-19 pandemic.
Objectives: The present study examined the role of social support in protecting against disability among older people residing in Poldasht, West Azerbaijan Province, Iran in 2018. Methods: This ...cross-sectional study was undertaken on 305 older adults who were selected by random sampling method. The World Health Organization standardized disability scale (WHODASS2) and multidimensional scale of perceived social support (MSPSS) were applied to collect the data. Data analysis was run through a multiple linear regression model by SPSS software, version 23. The significance level was set at P≤0.05. Results: The mean age of older people was 69.13±7.63 years. The highest incidence of disability was in the subscale of community participation (n=111, 36.4%) and mobility (n=111, 36.4%). The results revealed that age (β=0.32, P<0.001), financial status (β=0.14, P=0.002), job (β=-0.18, P=0.02), number of physical illnesses (β=-0.21, P<0.001), and social support (β=-0.17, P<0.001) were predictive factors of disability among older people. Discussion: The results showed a high prevalence of disability among older people. Given the protective role of social support in reducing disability, it is suggested to consider this cost-effective factor in attempts to deal with disability and then promote the quality of life of this vulnerable group.
Background: Morality is an important factor affecting the quality of care. To provide high-quality patient care, nurses are facing a number of ethical problems that need moral skills to be solved. ...Moral sensitivity is the first logical step toward ethical decision-making and judgment. Objectives: This study was conducted to determine the predictive value of moral sensitivity for the quality of care delivered by Iranian nurses. Methods: This cross-sectional study was undertaken on 250 nurses who were selected by census sampling based on inclusion and exclusion criteria from selected hospitals in Qazvin, Iran, in 2022. The required data were gathered by the Moral Sensitivity Questionnaire (MSQ) and the Quality Patient Care Scale (QUALPAC). Data were analyzed using a multivariate regression model. Results: The mean age of the nurses was 32.62 ± 6.95 years old, ranging from 22 to 54 years. The quality of care from the viewpoint of most nurses (n = 198, 78.0%) was desirable. The highest quality of care was related to the physical dimension (69.56 ± 8.48), and the least was related to the psychosocial dimension (89.74 ± 9.47). The highest moral sensitivity was related to the dimensions of relational orientation (15.03 ± 2.93) and respect for the patient's autonomy (7.88 ± 1.73). The results also revealed that moral sensitivity (β = 0.43, P < 0.001), gender (β = 0.30, P < 0.001), and economic status (β = -0.17, P = 0.003) were the most significant predictors of the quality of nursing care. Conclusions: Our results highlighted that boosting moral sensitivity among nurses could be effective in improving the quality of nursing care. So, it is recommended to hold periodic training programs to teach ethical principles to nurses to promote their moral sensitivity and, therefore, the quality of patient care.
Objectives: This study was conducted to determine the prevalence and predictors of home fall among elderly people living in Qazvin City, Iran, 2018. Methods: This cross-sectional study was performed ...on 300 elderly people aged 60 years or higher who were selected by cluster sampling technique. Data were collected by demographic and chronic diseases checklist, checklist of the characteristics of fall in the last year, Abbreviated Mental Test (AMT), self-reported health scale, and Timed Up and Go (TUG) test. The logistic regression model was conducted to determine predictors of home falls. Results: The mean age of the 300 older people who participated in the study was 70.11±8.90 years. Approximately, one-third of them (n=100, 33.3%) reported at least one fall during the last year. The results of the logistic regression revealed that the number of medicines used (OR=5.31, CI=1.44-19.49), history of the physical disease (OR=1.31, CI=1.01-1.70), age (OR=1.09, CI=1.03-1.15), balance control (OR=1.04, CI=0.07-1.01), and physical activity (OR=0.72, CI=0.57-0.92) were internal predictors of the fall among older adults. Discussion: The findings of our study disclosed that the incidence of falls is rather high among older people. The frequency of falls increased by advancing age, increase the number of physical illnesses and medicines used, poor balance, and a reduction in physical activity.
Objectives: This study was conducted to determine the prevalence and predictors of home fall among elderly people living in Qazvin City, Iran, 2018. Methods: This cross-sectional study was performed ...on 300 elderly people aged 60 years or higher who were selected by cluster sampling technique. Data were collected by demographic and chronic diseases checklist, checklist of the characteristics of fall in the last year, Abbreviated Mental Test (AMT), self-reported health scale, and Timed Up and Go (TUG) test. The logistic regression model was conducted to determine predictors of home falls. Results: The mean age of the 300 older people who participated in the study was 70.11±8.90 years. Approximately, one-third of them (n=100, 33.3%) reported at least one fall during the last year. The results of the logistic regression revealed that the number of medicines used (OR=5.31, CI=1.44-19.49), history of the physical disease (OR=1.31, CI=1.01-1.70), age (OR=1.09, CI=1.03-1.15), balance control (OR=1.04, CI=0.07-1.01), and physical activity (OR=0.72, CI=0.57-0.92) were internal predictors of the fall among older adults. Discussion: The findings of our study disclosed that the incidence of falls is rather high among older people. The frequency of falls increased by advancing age, increase the number of physical illnesses and medicines used, poor balance, and a reduction in physical activity.
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