Browsing by Author "Alishba Ejaz"

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    Insomnia depression anxiety and stress among university students.
    (2018) Alishba Ejaz; Madiha Iqbal Mazhar; Nazia Mustafa
    The current study aimed to explore the relationship of insomnia, Depression, Anxiety and Stress among university students. The study included hypotheses (i) there is likely to be a relationship between insomnia, depression, anxiety and stress. (ii) Insomnia is likely to predict of depression, anxiety and stress. (iii. Depression, anxiety and stress likely to predict insomnia. Survey participants were 201 (114 women and 87 men) university student with the age of 18 to 40 years (M=22.10, SD 3.54). Used convenience sampling technique for data collection by using theses scales, Athens Insomnia scale were used which have 8 items five for night time and three for daytime, and Depression, Anxiety and Stress Scale - 21 Items (DASS 21) scale were used which have 21 items seven for Depression seven for Anxiety and seven for Stress. Findings revealed that insomnia was positively significant correlated with depression, anxiety and stress, On the other hand the findings of demographic variables reveal that number of sleep hours, sleep cycle, living with parents and satisfied with sleep cycle were found to be significant associated with depression, anxiety and stress. Regression analysis reveal that insomnia is likely to predict depression, anxiety and stress. Regression analysis predicting Depression, anxiety and stress were found to be significant predictor for insomnia, which reveal that depression, anxiety and stress were also be a predictor of insomnia.
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    Insomnia depression anxiety and stress among university students.
    (UMT Lahore, 2018) Alishba Ejaz; Madiha Iqbal Mazhar; Nazia Mustafa
    The current study aimed to explore the relationship of insomnia, Depression, Anxiety and Stress among university students. The study included hypotheses (i) there is likely to be a relationship between insomnia, depression, anxiety and stress. (ii) Insomnia is likely to predict of depression, anxiety and stress. (iii. Depression, anxiety and stress likely to predict insomnia. Survey participants were 201 (114 women and 87 men) university student with the age of 18 to 40 years (M=22.10, SD 3.54). Used convenience sampling technique for data collection by using theses scales, Athens Insomnia scale were used which have 8 items five for night time and three for daytime, and Depression, Anxiety and Stress Scale - 21 Items (DASS 21) scale were used which have 21 items seven for Depression seven for Anxiety and seven for Stress. Findings revealed that insomnia was positively significant correlated with depression, anxiety and stress, On the other hand the findings of demographic variables reveal that number of sleep hours, sleep cycle, living with parents and satisfied with sleep cycle were found to be significant associated with depression, anxiety and stress. Regression analysis reveal that insomnia is likely to predict depression, anxiety and stress. Regression analysis predicting Depression, anxiety and stress were found to be significant predictor for insomnia, which reveal that depression, anxiety and stress were also be a predictor of insomnia.