Background: The older adults are a part of society whose population is increasing as science progresses and health conditions improve. Social, psychological and behavioral factors will be influenced on life satisfaction in older adults. We aimed to predictive role of psychosocial factors in life satisfaction older adults. Methods: It was a descriptive-analytical study which has conducted on 679 older adults through convenience sampling from Qom city during 2018. The data were collected using demographic characteristics, life satisfaction, well-being, cognitive status, social support, and daily activities of life. Data were analyzed by SPSS software version 22 and independent t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis. Results: The mean and standard deviation of older adults age was 70.43 ± 7.62 years. The mean life satisfaction score was 13.77 ± 3.73. The results showed a significant relationship between job and education with life satisfaction (P <0.001). The results also showed that social support (P= 0.001) and daily activities (P= 0.017) significantly predict the level of life satisfaction, and the dimensions of health (P= 0.001) and cognitive status (P= 0.007) have a larger share in predicting the satisfaction of older adults life. Conclusion: We found that some parts of life changes in older adults can be predicted with the help of social support, health status, cognitive status, and everyday life activities. Therefore, in order to increase the level of satisfaction of older adults life, it is suggested that the field of promotion of social support, health status, and cognitive status be provided.
Background: Social Anxiety Disorder (SAD) is the most common anxiety disorder while remains largely untreated. Disturbed amygdala-frontal network functions are central to the pathophysiology of SAD, marked by hypoactivity of the lateral prefrontal cortex (PFC), and hypersensitivity of the medial PFC and the amygdala. The objective of this study was to determine whether modulation of the dorsolateral and medial PFC activity with a novel intensified stimulation protocol reduces SAD core symptoms, improves treatment-related variables, and reduces attention bias to threatening stimuli. Methods: In this randomized, sham-controlled, double-blind trial, we assessed the efficacy of an intensified stimulation protocol (20 min, twice-daily sessions with 20 min intervals, 5 consecutive days) in two intensities (1 vs 2 mA) compared to sham stimulations. 45 patients with SAD were randomized in three tDCS arms (1-mA, 2-mA, sham). SAD symptoms, treatment-related variables (worries, depressive state, emotion regulation, quality of life), and attention bias to threatening stimuli (dot-probe paradigm) were assessed before and right after the intervention. SAD symptoms were also assessed at 2-month follow-up. Results: Both 1-mA and 2-mA protocols significantly reduced fear/avoidance symptoms, worries and improved, emotion regulation and quality of life after the intervention compared to the sham group. Improving effect of the 2-mA protocol on avoidance symptoms, worries and depressive state was significantly larger than the 1-mA group. Only the 2-mA protocol reduced attention bias to threat-related stimuli, the avoidance symptom at follow-up, and depressive states, as compared to the sham group. Conclusions: Modulation of lateral-medial PFC activity with intensified stimulation can improve cognitive control, motivation and emotion networks in SAD and might thereby result in therapeutic effects. These effects can be larger with 2-mA vs 1-mA intensities, though a linear relationship between intensity and efficacy should not be concluded. Our results need replication in larger trials.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.