Small area method: General health of students
,
Abstract
Background & Aim: Awareness of adolescents’ general health status is important. The aim of this study was an assessment of general health status by estimating the mean of general health score of high school students in eight counties of Bushehr province in 2014 with small area method.
Methods & Materials: In this cross-sectional study, students’ general health score at the counties levels was estimated by small area method. The data were collected based on the general health questionnaire GHQ28) and the accuracy of estimations was measured by using of standard error.
Results: The overall estimated mean±standard error of general health score for 138 students, using the synthetic estimation of small area method was 26.65±0.21. The means of general health at eight counties were 26.96, 26.85, 26.41, 26.48, 26.74, 26.76, 26.62 and 27.41, respectively
Conclusion: A little difference between the averages and the small standard errors of estimations in eight counties, showed that the synthetic estimator has a high accuracy for estimating the mean of adolescents’ general health scores.
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15. Hosseini SH, Sheykhmounesi F, Shahmohammadi S. Evaluation of mental health status in caregivers of patients with chronic psychiatric disorders. Pakistan J Biol Sci. 2010;13(7):325-9.
16. Chatterje S, Lahiri P, Li H. Parametric Bootstrap Approximation to the Distribution of Eblup and Related Prediction Intervals in Linear Mixed Models. Ann Stat. 2008;36(3):1221-45.
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19. Pereira L, Mendes J, Coelho P. Model-Based Estimation of Unemployment Rates in Small Areas of Portugal. Commun Stat Theory Method. 2013;42(7):1325-42.
20. Steinmanna K, Mandallazb D, Ginzlerc C, Lanza A. Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data. Scand J For Res. 2013;28(4):373-85.
21. Zhang X, Onufrak S, Holt J, Croft J. A multilevel approach to estimating small area childhood obesity prevalence at the census block-group level. Prev Chronic Dis. 2013;10(68):1-10.
22. Zhang Z, Zhang L, Penman A, May W. Using smallarea estimation method to calculate county-level prevalence of obesity in mississippi, 2007-2009. Prev Chronic Dis. 2011;8(4):1-11.
23. Hirve S, Vounatsou P, Sanjay, Blomstedt Y, Wall S, Chatterji S, Ng N. Self-rated health: Small area large area comparisons amongst older adults at the state,district and sub-district level in India. Health Place. 2014;26:31-8.
2. Global burden of mental disorders and the need for a comprehensive, coordinated response from health and social sectors at the country level, Report by the Secretariat. Executive Board, 130th session, Provisional agenda item 62, World Health Organization, EB130/9. 2011.
3. WHO-AIMS Report on Mental Health System in The Islamic Republic of Iran. WHO and Ministry of Health and Medical Education, Tehran, the Islamic Republic of Iran. 2006.
4. Knopf D, Park MJ, Paul Mulye T. The Mental Health of Adolescents: A National Profile, 2008. National Adolescent Health Information CenterSan Francisco, CA: University of California, San Francisco. 2008.
5. Rostami M, Bahmani B, Bakhtyari V, Movallali G. Depression and Deaf Adolescents: A review. Iran Rehabil J. 2014;12(19):43-53.
6. Adolescents: health risks and solutions. media center, fact sheet, World Health Organization. 2017.
7. Jones BP. Adult mental health disorders and their age at onset. Bri J Psychia. 2013;202(54):5-10.
8. Berry HL, Hogan A, Owen J, Rickwood D, Fragar L. Climate change and farmers' mental health: risks and responses. Asia-Pac J Public Health. 2011;23(2 Suppl):119s-32.
9. Ghias M, Seidaiy E, Taghdicy A, Rozbahani R, Poorsafa P, Barghi H, et al. The Impact of Weather on Some Psychological and Behavioral Disorders among 4-7-year-old Children in Rural Area of Isfahan Province According to Medical Geography. J Isfahan Med School. 2011;28(122):1-7.
10. Naghavi M, Abolhassani F, Pourmalek F, Jafari N, Moradi Lakeh M, Eshrati B, et al. The Burden of Disease and Injury in Iran in the Year 2003. Iran J Epidemiol. 2008;4(1):1-19.
11. Jia H, Muennig P, Borawski E. Comparison of smallarea analysis techniques for estimating county-level outcomes. Am J Prev Med. 2004;26(5):453-60.
12. Jia H, Muennig P, Borawski E. Comparison of Small- Area Analysis Techniques for Estimating County- Level Outcomes. Am J Prev Med. 2004;26(5):453-60.
13. Tohidnejad E, Soltanian A, Roshanaei G. Comparison of Small Area Techniques for Estimating Prevalence of Mental Disorder Symptoms among Iranian's Southern Adolescents. J Res Health Sci. 2014;14(2):146-51.
14. Soltanian A, Nabipour I, Akhondzadeh S, Moeini B, Bahreini F, Barati M, et al. Association between physical activity and mental health among high-school adolescents in Boushehr province: A population based study. Iran J Psychiatry. 2011;6:112-6.
15. Hosseini SH, Sheykhmounesi F, Shahmohammadi S. Evaluation of mental health status in caregivers of patients with chronic psychiatric disorders. Pakistan J Biol Sci. 2010;13(7):325-9.
16. Chatterje S, Lahiri P, Li H. Parametric Bootstrap Approximation to the Distribution of Eblup and Related Prediction Intervals in Linear Mixed Models. Ann Stat. 2008;36(3):1221-45.
17. Rao J. Small area estimation. New Jersey: John Wiley & Sons. 2003.
18. Steinmann K, Mandallaz D, Ginzler C, Lanz A. Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial imageswith terrestrial data. Scandinavian J Forest Res. 2013;28(4):373-85.
19. Pereira L, Mendes J, Coelho P. Model-Based Estimation of Unemployment Rates in Small Areas of Portugal. Commun Stat Theory Method. 2013;42(7):1325-42.
20. Steinmanna K, Mandallazb D, Ginzlerc C, Lanza A. Small area estimations of proportion of forest and timber volume combining Lidar data and stereo aerial images with terrestrial data. Scand J For Res. 2013;28(4):373-85.
21. Zhang X, Onufrak S, Holt J, Croft J. A multilevel approach to estimating small area childhood obesity prevalence at the census block-group level. Prev Chronic Dis. 2013;10(68):1-10.
22. Zhang Z, Zhang L, Penman A, May W. Using smallarea estimation method to calculate county-level prevalence of obesity in mississippi, 2007-2009. Prev Chronic Dis. 2011;8(4):1-11.
23. Hirve S, Vounatsou P, Sanjay, Blomstedt Y, Wall S, Chatterji S, Ng N. Self-rated health: Small area large area comparisons amongst older adults at the state,district and sub-district level in India. Health Place. 2014;26:31-8.
| Files | ||
| Issue | Vol 4 No 3 (2018) | |
| Section | Original Article(s) | |
| Keywords | ||
| Small area analysis General health Adolescent Students Bushehr | ||
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How to Cite
1.
Naderi A, Soltanian AR, Roshanaei G. Small area method: General health of students. JBE. 2018;4(3):124-128.
