social worry
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Author(s):  
Mohammed A. Alarefi

Online information privacy has become a developing social worry that may hinder individuals' social site associations. The motivation behind this investigation is to dissect the effect of an err toward privacy and the social presence of a website on a person's privacy concerns about the website. Data were collected from 650 respondents in Saudi Arabia. The findings indicate a significance influence of informativness, social presence, utility of website, perceived severity, and self-efficacy on website-specific privacy concerns. Furthermore, privacy concerns have a significant influence on behavioural intentions. This study also extends the information privacy literature through the analysis of the drivers and outcomes of online privacy concerns in the social network context.


Author(s):  
Abdalla A. M. Hamid

<p>The cognitive approaches of obsessive-compulsive disorder consider negative appraisal of beliefs and thoughts to be the core factor for the onset of this disorder. The present study was aimed at investigating the relationship between compulsions and worries (anxious thoughts), and between compulsions and academic performance in a sample of 461 university students aged between 18 and 30 years (mean age=21.2 years). Male participants represented 31.2% of the total sample while female participants represented 68.8% of the sample. The Anxious Thoughts Inventory and the Compulsion Checklist were administered. Results showed that worries were positively related to compulsions. Meta-worry was the strongest predictor of compulsions. First-degree relatives of individuals with history of obsessive-compulsive symptoms significantly reported more symptoms of compulsions compared to their counterparts. Academic performance (GPA) was not related to compulsion but it was related to worry. Further, older participants expressed less social worry and less compulsive symptoms compared to younger ones. The results were discussed in relation to relevant theoretical framework and in light of findings of previous studies. This study will provide researchers, practitioners and readers with an understanding of the relationship between worry, academic performance and compulsions in this part of the world.</p><strong><em>Keywords</em></strong>: Compulsions, Meta-worry, Social Worry, Health Worry, Academic Performance


2010 ◽  
Vol 1 ◽  
pp. IJCM.S4710 ◽  
Author(s):  
Gumpeny R Sridhar ◽  
Pasala Sudhir Kumar ◽  
Putcha Venkata ◽  
Appa Rao Allam ◽  
Vijay Kishore Durai ◽  
...  

We assessed the contribution of selected built environment factors to body weight in a pilot study in urban Visakhapatnam, South India. Participants were 123 men and 60 women (age 16 to 69 years; BMI 17.3–30.5) who had lived in the area for at least 3 years. Individuals with lower BMI tended to be (a) working people (non-home based–-working away from home), (b) non-vegetarians, (c) physically active (activity mostly related to work), and (d) taking afternoon siestas. Psychological stress, quality of life and wellbeing data were used from an earlier study of individuals with diabetes mellitus. The measures included were depression, anxiety, energy, positive wellbeing, satisfaction, impact, and social worry and diabetes worry (Diabetes quality of life). Guttman's Smallest Space Analysis (SSA) suggested the relationships among the psychosocial measures can be accounted for by one facet with three axial sets of variables (a) positive wellbeing and energy, (b) satisfaction, impact, and social worry and diabetes worry, and (c) anxiety and depression. SSAs on male participants suggested that fasting blood glucose and weight were most closely associated with anxiety and energy levels. In female participants, weight and fasting glucose were most closely associated with energy and to a somewhat lesser extent with anxiety. In both sexes, age was closely associated with positive wellbeing. Also in both sexes, age, weight, and fasting glucose levels were closely associated with each other. The results support the importance of understanding the impact of built environment and psychosocial factors on body weight in diabetic individuals for designing prevention strategies.


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