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• W4205769153 abstract "No AccessNov 2021Data and MethodsAuthors/Editors: Iffat Mahmud, Wameq A. Raza, Md Rafi HossainIffat MahmudSearch for more papers by this author, Wameq A. RazaSearch for more papers by this author, Md Rafi HossainSearch for more papers by this authorhttps://doi.org/10.1596/978-1-4648-1764-9_ch3AboutView ChaptersFull TextPDF (1 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract: Provides details of the survey, including definitions, sampling strategies, and methodologies used for analyses. This report utilized several sources of data, including (1) primary panel data collected in two rounds—August and September 2019 and January and February 2020; (2) localized weather data from the Bangladesh Meteorological Department (BMD) covering conditions from the two months preceding each survey, and (3) secondary analysis of data available from various sources. A structured questionnaire, directed toward the primary female member of the household, collected information on an array of issues concerning illness, use of health care. the status of common mental disorders—namely, depression and anxiety—and background information on a host of related issues. The BMD weather data came from 43 weather stations across the country between 1976 and 2019, with approximations provided for areas where weather stations remain unavailable. The study presents some limitations requiring investigation in future research to estimate the burden of disease. ReferencesArafat, S M Y, A Shahoriar, A Faruq, Z Sojib Bin, and A Amin. 2018. “Depression in Spinal Cord Injury Patients: A Cross-sectional Observation with PHQ-9 in a Rehabilitation Center of Bangladesh.” Journal of Behavioral Health 7 (1): 36. Google ScholarBangladesh, NIPORT (National Institute of Population Research and Training), Mitra and Associates, and ICF. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka: NIPORT. https://dhsprogram.com/pubs/pdf/FR311/FR311.pdf. Google ScholarChowdhury, A N, S Ghosh, and D Sanyal. 2004. “Bengali Adaptation of Brief Patient Health Questionnaire for Screening Depression at Primary Care.” Journal of the Indian Medical Association 102 (10): 544–47. Google ScholarFouque, F and J C Reeder. 2019. “Impact of Past and Ongoing Changes on Climate and Weather on Vector-Borne Diseases Transmission: A Look at the Evidence.” Infectious Diseases of Poverty 8: 51. Google ScholarHossain, S, A Anjum, M E Uddin, M A Rahman, and M F Hossain. 2019. “Impacts of Socio-Cultural Environment and Lifestyle Factors on the Psychological Health of University Students in Bangladesh: A Longitudinal Study.” Journal of Affective Disorders 256: 393–403. doi:10.1016/j.jad.2019.06.001. Google ScholarIslam, S, R Akter, T Sikder, and M D Griffiths. 2020. “Prevalence and Factors Associated with Depression and Anxiety among First-Year University Students in Bangladesh: A Cross-Sectional Study.” International Journal of Mental Health and Addiction. doi:10.1007/s11469-020-00242-y. Google ScholarIslam, S M S, L B Rawal, and L W Niessen. 2015. “Prevalence of Depression and Its Associated Factors in Patients with Type 2 Diabetes: A Cross-sectional Study in Dhaka, Bangladesh.” Asian Journal of Psychiatry 17: 36–41. doi:10.1016/j.ajp.2015.07.008. Google ScholarLevis, B, A Benedetti, and B D Thombs. 2019. “Accuracy of Patient Health Questionnaire-9 (PHQ-9) for Screening to Detect Major Depression: Individual Participant Data Meta-Analysis.” BMJ 365: l1476. doi:10.1136/bmj.l1476. Google ScholarMamun, M A, N Huq, Z F Papia, S Tasfina, and D Gozal. 2019. “Prevalence of Depression among Bangladeshi Village Women Subsequent to a Natural Disaster: A Pilot Study.” Psychiatry Research 276: 124–28. doi:10.1016/j.psychres.2019.05.007. Google ScholarManea, L, S Gilbody, and D McMillan. 2015. “A Diagnostic Meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) Algorithm Scoring Method as a Screen for Depression.” General Hospital Psychiatry 37 (1): 67–75. doi:10.1016/j.genhosppsych.2014.09.009. Google ScholarMani, M and L Wang. 2014. “Climate Change and Health Impacts: How Vulnerable Is Bangladesh and What Needs to Be Done.” End Poverty in South Asia (blog), May 7, 2014. https://blogs.worldbank.org/endpovertyinsouthasia/when-climate-becomes-health-issue-how-vulnerable-bangladesh. Google ScholarMoonajilin, M S, M E Rahman, and M S Islam. 2020. “Relationship between Overweight/Obesity and Mental Health Disorders among Bangladeshi Adolescents: A Cross-sectional Survey. Obesity Medicine 18: 100216. doi:10.1016/j.obmed.2020.100216. Google ScholarRoy, T, C E Lloyd, M Parvin, K G B Mohiuddin, and M Rahman. 2012. “Prevalence of Co-morbid Depression in Out-patients with Type 2 Diabetes Mellitus in Bangladesh.” BMC Psychiatry 12 (1): 123. doi:10.1186/1471-244X-12-123. Google ScholarSpitzer, R L, K Kroenke, and J B Williams. 1999. “Validation and Utility of a Self-Report Version of PRIME-MD: The PHQ Primary Care Study. Primary Care Evaluation of Mental Disorders, Patient Health Questionnaire.” JAMA 282 (18): 1737–44. doi:10.1001/jama.282.18.1737. Google ScholarSpitzer, R L, K Kroenke, J B W Williams, and B Löwe. 2006. “A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7.” Archives of Internal Medicine 166 (10): 1092–97. doi:10.1001/archinte.166.10.1092. Google ScholarWashington Group. 2018. “Washington Group Short Set of Questions on Disability.” Washington, DC: Centers for Disease Control and Prevention. https://www.cdc.gov/nchs/washington_group/wg_questions.htm. Google Scholar Previous chapterNext chapter FiguresreferencesRecommendeddetails View Published: November 2021ISBN: 978-1-4648-1764-9 Copyright & Permissions Related CountriesBangladeshRelated TopicsEnvironmentHealth Nutrition and Population KeywordsMETEOROLOGICAL CONDITIONSCOMMUNICABLE DISEASESMENTAL HEALTHECOLOGICALLY MEDIATED DISEASESWEATHER DATADATA COLLECTIONANXIETY DISORDERDEPRESSIONBURDEN OF DISEASE PDF DownloadLoading ..." @default.
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