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        "description": "<p><strong>Background:&nbsp;</strong>Adolescence is the period of growth between childhood and adulthood, and it plays a significant influence in determining how an individual&rsquo;s life will turn out. Children between the ages of 12 and 18 go through several physical and mental milestones during this time. Adolescents are undergoing a variety of psychological and physical transitions, and they also have a strong need to understand their place in the complex system known as &ldquo;society,&rdquo; even if it is as small a part as a gear. They are prone to making mistakes unless they have the proper instruction and ongoing assistance. Orphans, who are a more susceptible group, must deal with this turbulent time alone.&nbsp;<strong>Aim:</strong>&nbsp;to assess loneliness, coping mechanisms and general wellbeing and their correlation in adolescent orphans residing in orphanages of Western-Maharashtra.&nbsp;<strong>Methods and Materials:</strong>&nbsp; Cross-sectional study for assessing loneliness, coping mechanisms and general well-being through questionnaires. (Quantitative analysis) In-depth interviews of the parents of the randomly selected children from the study population and previous residents of orphanages. (Qualitative analysis). In order to achieve our third goal, we conducted in-depth interviews with the parents of 10 randomly chosen children to understand the circumstances that led to their admission into institutions, as well as with five former orphanage residents to obtain insight into their current situations.To accomplish our initial goal of data collecting, the children&rsquo;s levels of loneliness and coping were assessed using the R-UCLA and BRCS measures, respectively. Our second goal was achieved after we analysed the data and connected the results from the R-UCLA and BRCS scales with the replies on our self-made scale for general wellbeing based on the personal hygiene, nutritional, reproductive, and sexual health of our focus population.&nbsp;<strong>Results:&nbsp;</strong>2&times;2 contingency table is made for finding the association between different variables such as R-UCLA and low BMI (p= 0.002), R-UCLA and undernourishment (p= 0.002), R-UCLA and frequency of sudden high fever (p= 0.040), R-UCLA and frequency of headaches (p=0.002) and BRCS and sleep deprivation (p=0.015). Then after applying Pearson&rsquo;s Chi Square test, it is found out that there is significant association between the two variables under study.&nbsp;<strong>Conclusion:</strong>&nbsp;Our study projected that, high degree of loneliness and poor coping mechanisms have a direct impact on the general wellbeing of adolescent orphans. Through the interviews we learnt their reasons for admission to the orphanage and how the variables of our study affect their lives beyond the orphanage.</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<div>&nbsp;</div>",
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    "description": "<p><strong>Background:&nbsp;</strong>Adolescence is the period of growth between childhood and adulthood, and it plays a significant influence in determining how an individual&rsquo;s life will turn out. Children between the ages of 12 and 18 go through several physical and mental milestones during this time. Adolescents are undergoing a variety of psychological and physical transitions, and they also have a strong need to understand their place in the complex system known as &ldquo;society,&rdquo; even if it is as small a part as a gear. They are prone to making mistakes unless they have the proper instruction and ongoing assistance. Orphans, who are a more susceptible group, must deal with this turbulent time alone.&nbsp;<strong>Aim:</strong>&nbsp;to assess loneliness, coping mechanisms and general wellbeing and their correlation in adolescent orphans residing in orphanages of Western-Maharashtra.&nbsp;<strong>Methods and Materials:</strong>&nbsp; Cross-sectional study for assessing loneliness, coping mechanisms and general well-being through questionnaires. (Quantitative analysis) In-depth interviews of the parents of the randomly selected children from the study population and previous residents of orphanages. (Qualitative analysis). In order to achieve our third goal, we conducted in-depth interviews with the parents of 10 randomly chosen children to understand the circumstances that led to their admission into institutions, as well as with five former orphanage residents to obtain insight into their current situations.To accomplish our initial goal of data collecting, the children&rsquo;s levels of loneliness and coping were assessed using the R-UCLA and BRCS measures, respectively. Our second goal was achieved after we analysed the data and connected the results from the R-UCLA and BRCS scales with the replies on our self-made scale for general wellbeing based on the personal hygiene, nutritional, reproductive, and sexual health of our focus population.&nbsp;<strong>Results:&nbsp;</strong>2&times;2 contingency table is made for finding the association between different variables such as R-UCLA and low BMI (p= 0.002), R-UCLA and undernourishment (p= 0.002), R-UCLA and frequency of sudden high fever (p= 0.040), R-UCLA and frequency of headaches (p=0.002) and BRCS and sleep deprivation (p=0.015). Then after applying Pearson&rsquo;s Chi Square test, it is found out that there is significant association between the two variables under study.&nbsp;<strong>Conclusion:</strong>&nbsp;Our study projected that, high degree of loneliness and poor coping mechanisms have a direct impact on the general wellbeing of adolescent orphans. Through the interviews we learnt their reasons for admission to the orphanage and how the variables of our study affect their lives beyond the orphanage.</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<div>&nbsp;</div>",
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    "publication_date": "2022-12-31",
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        "reference": "1. World Health organization (WHO). Adolescence: a period needing sepcial attention: recognizing adolescence. 2014. Available from: https://apps.who.int/adolescent/sec ond-decade/section2/page1/recognizingadolescence.html. Accessed 5 June 2020. 2. UNICEF. Inequities in early childhood development: what the data say. Evidence from the multiple indicator cluster surveys. 2012. Available from: https://www.unicef.org/publication s/files/Inequities_in_Early_Childhood_D evelopment_LoRes_PDF_EN_02082012 .pdf. 3. World Health Organization (WHO). Adolescent mental health. 2019. Available from: https://www.who.int/newsroom/fact-sheets/detail/adolescentmental-health. Accessed 17 July 2020. 4. Shekmnesh A, Alemseged A, Hailemariam B. Prevalence of psychological distress and associated factors among AIDS orphan adolescents in Mekelle City, Tigray, northern Ethiopia: cross sectional study. Greener J Med Sci. 2013;3(7):260\u2013269. 5. Ibrahim A, El-Bilsha MA, El-Gilany AH, Khater M. Prevalence and predictors of depression among orphans in Dakahlia's orphanages, Egypt. Int J Collab Res Intern Med Public Heal. 2012; 4(12): 2036\u20132043 6. Reynolds CF, Patel V. Screening for depression: the global mental health context. World Psychiatry. 2017; 16(3): 316\u2013317. 7. World Health Organization (WHO). Depression and other common mental disorders global health estimates. 2017. Available from: https://apps.who.int/iris/bitstream/ handle/10665/254610/WHO-MSDMER-2017.2-eng.pdf. 8. World Health Organization (WHO). Depression, 2020. Available from: https://www.who.int/newsroom/fact-sheets/detail/depression. Accessed 10 April 2020. 9. Friedrich MJ. Depression is the leading cause of disability around theworld. JAMA Heal Forum. 2017; 317 (15):1517. 10. Alahmari AY, Alshehri AF, Alqahtani AS, Alyami TA, Alshehri WD, Asiri AY, et al. Prevalence of depression among children and adolescent in orphanages. Int J Med Res Prof. 2017; 3(6): 271\u2013273. 11. Sahad SM, Mohamad Z, Shukri M. Differences of mental health among orphan and non-orphan adolescents. Int J Acad Res Psychol. 2018;5(1):556\u2013565. 12. Thabet A, Elhelou M, Vostanis P. Prevalence of PTSD, depression, and anxiety among orphaned children in the Gaza strip. EC Paediatr. 2017;5(6):159\u2013 169. 13. World Health Organisation (WHO). Mental health action plan 2013-2020. 2013. Available from: http://apps.who.int/iris/bitstream/1 0665/89966/1/9789241506021_eng.pdf? ua=1. 14. Patel V. Why adolescent depression is a global health priority and what we should do about it. J Adolesc Health. 2013; 52(5): 511\u2013512. 15. Hofmann SG, Curtiss J, Carpenter JK, Kind S. Effect of treatments for depression on quality of life: a metaanalysis. Cogn Behav Ther. 2017; 46(4): 265\u2013286. 16. Central Child Welfare Board. State of the child care homes in Nepal. 2015. Available from: http://www.ccwb.gov.np/uploads/ Resource/CCWB Publication/state of the child care home.pdf. 17. Dar M, Hussain S, Qadri S, Hussain S, Fatima S. Prevalence and pattern of psychiatric morbidity in children living in orphanages of Kashmir. Int J Heal Sci Res. 2015;5(11):53\u201360. 18. The Faith To Action Initiative. Children, orphanage and families: a summary of research to help guide faith based action. 2014. Available from: https://www.faithtoaction.org/wpcontent/uploads/2014/03/Summary-ofResearch4.pdf. 19. Social Development Organization Nepal. Protect orphans and abandoned children in Nepal. global giving. 2018. Available from: https://www.globalgiving.org/proj ects/protect-orphans-and-abandonedchildren-in-nepal/. 20. Buggineni P. Protecting children affected by AIDS in low prevalence and concentrated epidemic settings: development of policy and programmatic recommendations for greater synergy with child protection in South Asia. 2019. Available from: https://www.academia.edu/465758 8/OVC_Report_final. 21. Department of Health Services. Annual Report. DoHS. 2019. Available from: https://dohs.gov.np/wpcontent/uploads/2019/07/DoHS-AnnualReport-FY-2074-75-date-22-Ashad2076-for-web-1.pdf. 22. World Health Organization (WHO). Metal health system in Nepal. 2006. Available from: https://www.who.int/mental_healt h/evidence/nepal_who_aims_report.pdf. 23. Upadhaya N, Jordans MJD, Pokhrel R, Gurung D, Adhikari RP, Petersen I, et al. Current situations and future directions for mental health system governance in Nepal: findings from a qualitative study. Int J Ment Health Syst. 2017; 11(37):1\u201312. 24. Charan J, Biswas T. How to calculate sample size for disfferent study designs in medical resaerch? Indian J Psychol Med. 2013;34(2):121\u2013126. 25. Moeini B, Bashirian S, Soltanian AR, Ghaleiha A, Taheri M. Prevalence of depression and its associated sociodemographic factors among Iranian female adolescents in secondary schools. BMC Psychol. 7(25):1\u201311. 26. Jackson-Koku G. Beck depression inventory. Occup Med (Chic Ill) 2016; 66(2):174\u2013175.27. Warmenhoven F, Rijswijk Ev, Engels Y, Kan C, Prins J, Weel Cv, et al. The beck depression inventory (BDI-II) and a single screening question as screening tools for depressive disorder in Dutch advanced cancer patients. Support Care Cancer. 2012;20:319\u201324. 28. Kohrt BA, Kunz RD, Koirala NR, Sharma VD, Nepal MK. Validation of the Nepali version of depression inventory. Nepal J Psychiatry. 2002; 2(4):123\u2013130. ] 29. Demoze MB, Angaw DA, Mulat H. Prevalence and associated factors of depression among orphan adolescents in Addis Ababa, Ethiopia. Psychiatry J. 2018. 30. Ramagopal G, Narasimhan S, Devi L. Prevalence of depression among children living in orphanage. Int J Contemp Pediatr. 2016;3(4):1326\u20131328. 31. Yazawa A, Takada S, Suzuki H, Fujisawa TX, Tomoda A. Association between parental visitation and depressive symptoms among institutionalized children in Japan : a cross-sectional study. BMC Psychiatry. 2019;19(129):1\u2013 9. 32. Bronsard G, Alessandrini M, Fond G, Loundou A, Auquier P, Tordjman S, et al. The prevalence of mental disorders among children and adolescents in the child welfare system a systematic review and meta-analysis. Medicine (Baltimore) 2016;95(7):1\u201317. 33. Ngasa SN, Sama CB, Dzekem BS, Nforchu KN, Tindong M, Aroke D, et al. Prevalence and factors associated with depression among medical students in Cameroon: a cross-sectional study. BMC Psychiatry. 2017;17(1):1\u20137. 34. Moeini B, Bashirian S, Soltanian AR, Ghaleiha A, Taheri M. Prevalence of depression and its associated sociodemographic factors among Iranian female adolescents in secondary schools. BMC Psychol. 2019;7(25):1\u2013 11. 35. Schimelpfening N. Why depression is more common in women than in men. Verywell Mind 2020. Available from: https://www.verywellmind.com/w hy-is-depression-more-common-inwomen-1067040. 36. Bellos S, Skapinakis P, Rai D, Zitko P, Araya R, Lewis G, et al. Longitudinal association between different levels of alcohol consumption and a new onset of depression and generalized anxiety disorder: results from an international study in primary care. Psychiatry Res. 2016;243:30\u201334. [ 37. Tembo C, Burns S, Kalembo F. The association between levels of alcohol consumption and mental health problems and academic performance among young university students. PLoS One. 2017; 12(6):1\u201313. 38. Johannessen EL, Andersson HW, Bj\u00f8rngaard JH, Pape K. Anxiety and depression symptoms and alcohol use among adolescents-a cross sectional study of Norwegian secondary school students. BMC Public Health. 2017; 17(1):1\u20139. 39. Oscar-Berman M, Marinkovic K. Alcohol and the barin: an overview. Alcohol Res Health. 2003; 27(2): 125\u2013133. 40. Awaad MI, Darahim KE. Depression and anxiety in adolescents with congenital heart disease. Middle East Curr Psychiatry. 2015;22(1):2\u20138."
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