Showing 3 results for General Health
A Ahmadvand, Z Sepehrmanesh, F Ghoreyshi, F Assarian, Gh A Moosavi, R Saee, F Etesam,
Volume 6, Issue 2 (9-2010)
Abstract
Background & Objectives: Mental health is one of the most important public health issues, and it has major contribution in decreasing global burden of diseases .the objective of this study was to estimate the point prevalence rate of mental disorders in the population aged 18 years and over in Kashan city in 2009.
Methods: A classified- randomized sampling method was used. The General Health Questionnaire and clinical interview were employed to determine of mental disorders. data were analyzed by using Spss v. 16 and OR, and Chi-square test.
Results: The overall prevalence rate of mental disorders in Kashan was estimated (29%) (Female= 35/5%). The most prevalent disorders were mood disorders and anxiety disorders (9/3%) and (4/7%) respectively. In total five hundred-five (505) individuals with mental disorders, 32.1% had mood disorders, 25.6% had anxiety disorders, 4.2% had psychotic disorders, 3.4 % had neurological disorders, 3.4% dissociative disorders and 23.7% had other disorders. In this study 7.8% of subject had one mental disorder at least. The prevalence rate was high in people aged 56-65 years (35/8%) and widow (35/8%), illiterate (42/8%) and unemployed (38/8%). There were statistically significant differences between genders, education, and occupation and marital status.
Conclusion: Mental disorder has a priority for any intention intervention by health policy makers. It should be taken into account for any future agenda by ministry of health.
A Arshadi, P Yavari, Mh Elyasi, A Abadi, A Kolahi,
Volume 16, Issue 3 (11-2020)
Abstract
Background and Objectives: Studies investigating life skills and general health have mainly focused on some skills or parts of health. In this study, ten components of skills and three components of general health were examined in patients presenting to veterans’ health and counseling centers in Tehran and the relationship between each skill and multiple levels of general health was assessed.
Methods: this cross-sectional study was performed on 600 randomly selected service users. Data were collected using two standard questionnaires and analyzed using t-test, one-way ANOVA, Tukey post hoc and multivariate regression. Lisrel-8 path analysis and software were used to investigate the causal relationships between variables and the way a skill affected general health.
Results: The highest mean scores of skills were related to emotion management, critical thinking, social support and creative thinking, decision making, stress management, self-awareness, empathy and effective communication and problem solving. The results of path analysis showed a strong link between overall life skills and general health. The effect of skills on social performance was more than other components of health.
Conclusion: The contribution of emotion management, creative thinking, effective communication, and stress management skills to the prediction of general health was more than other life skills. Considering the importance of general health, it is recommended that educational programs be implemented with focus on these population subgroups to improve their skills and general health level.
Z Naghibifar, H Soori, S Eskandari, A Razzaghi, S Khodajarim,
Volume 17, Issue 1 (5-2021)
Abstract
Background and Objectives: Quality of life is a valuable indicator for measuring people's health. The purpose of this study was to determine the predictors of quality of life in the staff of Shahid Beheshti University of Medical Sciences, Tehran, Iran using the path analysis model.
Methods: This cross-sectional study was performed on subjects participating in the Health Cohort Study of Shahid Beheshti University of Medical Sciences, Tehran, Iran in 2018. A demographic information form and standard quality of life, general health, physical activity and burnout scales were used for data collection. The SPSS version 24 and Amos version 24 were used for data analysis.
Results: A total of 770 individuals were selected for the study, of whom 345 (44.8%) were male. The mean age ± standard deviation of the participants was 42.6±8.4. Analysis of the quality of life pathway of the participants showed an appropriate model (RMSEA= 0.014, CFI=0.999, NFI = 0.991, TLI = 0.994, CMIN/DF = 1.146). In addition, general health (0.560) and physical activity (0.078) had a direct correlation and occupational burnout (-0.178) and age (-0.082) had an inverse correlation with quality of life.
Conclusion: The results of this study suggest that factors such as general health, physical activity, and burnout have an impact on the participants. Therefore, it is necessary to consider the factors affecting the quality of life.
