Post-stroke social networks, depressive symptoms, and disability in Tanzania: A prospective study

International Journal of Stroke

Volumn 13, Issue 8, 2018, Pages 840-848

  Saadi, Altaf ^a,g   Okeng’o, Kigocha ^b   Biseko, Maijo R ^b   Shayo, Agness F ^b   Mmbando, Theoflo N ^b   Grundy, Sara J ^c   Xu, Ai ^c   Parker, Robert A ^c,d   Wibecan, Leah ^c   Iyer, Geetha ^e   Onesmo, Peter M ^b   Kapina, Boniphace N ^b   Regenhardt, Robert W ^f   Mateen, Farrah J ^c,d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MUHIMBILI NATIONAL HOSPITAL   (Tanzania)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

^e HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^f BRIGHAM AND WOMEN S HOSPITAL   (United States)

^g Massachusetts General Hospital and Brigham and Women’s Hospital ^*

Author keywords

Africa; depression; disability; epidemiology; social networks; Stroke

Indexed keywords

ADULT; ARTICLE; BERKMAN SYME SOCIAL NETWORK INDEX; COHORT ANALYSIS; CONTROLLED STUDY; CONVALESCENCE; DISABILITY; DISEASE ASSOCIATION; DISEASE SEVERITY; FEMALE; FOLLOW UP; HOSPITAL ADMISSION; HUMAN; MAJOR CLINICAL STUDY; MALE; MORTALITY; NATIONAL INSTITUTES OF HEALTH STROKE SCALE; PATIENT HEALTH QUESTIONNAIRE 9; POST-STROKE DEPRESSION; PRIORITY JOURNAL; PROSPECTIVE STUDY; RANKIN SCALE; SCORING SYSTEM; SOCIAL ISOLATION; SOCIAL NETWORK; STROKE PATIENT; SURVIVOR; SYMPTOM; TANZANIA; TELEPHONE INTERVIEW; TREND STUDY;

EID: 85055072855     PISSN: 17474930     EISSN: 17474949     Source Type: Journal    
DOI: 10.1177/1747493018772788     Document Type: Article

References (42)

1. Berkman LF, Glass T, Brissette I, Seeman TE. From social integration to health: Durkheim in the new millennium. Soc Sci Med 2000; 51: 843–857
2. Nagayoshi M, Everson-Rose SA, Iso H, Mosley TH, Rose KM, Lutsey PL. Social network, social support, and risk of incident stroke. Stroke 2014; 45: 2868–2873
3. Glass TA, Matchar DB, Belyea M, Feussner JR. Impact of social support on outcome in first stroke. Stroke 1993; 24: 64–70
4. Northcott S, Moss B, Harrison K, Hilari K. A systematic review of the impact of stroke on social support and social networks: associated factors and patterns of change. Clin Rehabil 2016; 30: 811–831
5. Perkins JM, Subramanian SV, Christakis NA. Social networks and health: a systematic review of sociocentric network studies in low and middle-income countries. Soc Sci Med 2015; 125: 60–78
6. Feigin VL, Forouzanfar MH, Krishnamurthi R, Global and regional burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 2010. Lancet 2014; 383: 245–254
7. Adeloye D. An estimate of the incidence and prevalence of stroke in Africa: A systematic review and meta-analysis. Plos One 2014; 9: e100724
8. Walker R, Whiting D, Unwin N, Stroke incidence in rural and urban Tanzania: a prospective, community-based study. Lancet Neurol 2010; 9: 786–792
9. Tanzania National Bureau of Statistics and ICF Macro. 2010 demographic and health survey key findings, https://dhsprogram.com/pubs/pdf/SR183/SR183.pdf (2011, accessed 25 September 2017)
10. Muhimbili National Hospital Profile. Muhimbili National Hospital, www.mnh.or.tz/index.php/our-profile (accessed 25 September 2017)
11. Tanzania Mainland Poverty Assessment: a new picture of growth for Tanzania emerges. The World Bank, www.worldbank.org/en/country/tanzania/publication/tanzania-mainland-poverty-assessment-a-new-picture-of-growth-for-tanzania-emerges (accessed 6 April 2018)
12. Thorvaldsen P, Kuulasmaa K, Rajakangas A, Rastenyte D, Sarti C, Wilhelmsen L. Stroke trends in the WHO MONICA Project. Stroke 1997; 28: 500–506
13. Brott T, Adams HP, Olinger CP, Measurements of acute cerebral infarction: a clinical examination scale. Stroke 1989; 20: 864–870
14. Rankin J. Cerebral vascular accidents in patients over the age of 60. II. Prognosis. Scottish Med J 1957; 2: 200–215
15. Berkman LF, Syme SL. Social networks, host resistance, and mortality: a nine-year follow-up study of Alameda County residents. Am J Epidemiol 1979; 109: 186–204
16. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001; 16: 606–613
17. Williams LS, Brizendine EJ, Plue L, Performance of the PHQ-9 as a screening tool for depression after stroke. Stroke 2005; 36: 635–638
18. Bhana A, Rathod SD, Selohilwe O, Kathree T, Petersen I. The validity of the Patient Health Questionnaire for screening depression in chronic care patients in primary health care in South Africa. BMC Psychiatry 2015; 15: 118
19. Manea L, Gilbody S, McMillan D. Optimal cut-off score for diagnosis of depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis. Can Med Assoc J 2012; 184: e191–e196
20. Meta J, Nasuwa F, Mwendo E, Reyburn H, Bower JH. Improving the consent process for neuroepidemiologic research in resource-poor settings. Neurology 2014; 82: 895–897
21. Gabriele W, Renate S. Work loss following stroke. Disabil Rehabil 2009; 31: 1487–1493
22. Cohen S, Wills TA. Stress, social support, and the buffering hypothesis. Psychol Bull 1985; 98: 310–357
23. Aslund C, Larm P, Starrin B, Nilsson KW. The buffering effect of tangible social support on financial stress: influence on psychological well-being and psychosomatic symptoms in a large sample of the adult general population. Int J Equity Health 2014; 13: 85
24. Frasure-Smith N, Lesperance F, Gravel G, Social support, depression, and mortality during the first year after myocardial infarction. Circulation 2000; 101: 1919–1924
25. Simning A, Seplaki CL, Conwell Y. The association of a heart attack or stroke with depressive symptoms stratified by the presence of a close social contact: findings from the National Health and Aging Trends Study Cohort. Int J Geriatr Psychiatry 2018; 33: 96–103
26. Zhang L, Yan T, You L, Li K, Gao Y. Social isolation and physical barriers in the houses of stroke survivors in rural China. Arch Phys Med Rehabil 2016; 97: 2054–2060
27. Hackett ML, Pickles K. Part I: frequency of depression after stroke: an updated systematic review and meta-analysis of observational studies. Int J Stroke 2014; 9: 1017–1025
28. Kutlubaev MA, Hackett ML. Part II: predictors of depression after stroke and impact of depression on stroke outcome: an updated systematic review of observational studies. Int J Stroke 2014; 9: 1026–2036
29. Paolucci S. Epidemiology and treatment of post-stroke depression. Neuropsychiatr Dis Treat 2008; 4: 145–154
30. Gyagenda JO, Ddumba E, Odokonyero R, Post-stroke depression among stroke survivors attending two hospitals in Kampala, Uganda. Afr Health Sci 2015; 15: 1220–1231
31. Mpembi MN, Miezi SM, Nzuzi TM, Clinical profile of post-cerebrovascular depression: descriptive cross-sectional study in the rehabilitation center for people with disabilities of Kinshasa (DR Congo). Pan Afr Med J 2014; 13: 109
32. Mbelesso P, Senekian VP, Yangatimbi E. Depression post stroke in Africa: myth or reality. Bull Soc Pathol Exot 2014; 107: 350–355
33. Kaadan MI, Larson MJ. Management of post-stroke depression in the Middle East and North Africa: too little is known. J Neurol Sci 2017; 15: 220–224
34. Sarfo FS, Nichols M, Qanungo S, Stroke-related stigma among West Africans: patterns and predictors. J Neurol Sci 2017; 375: 270–274
35. Akosile C, Nworah C, Okoye E, Adegoke B, Umunnah J, Fabunmi A. Community reintegration and related factors in a Nigerian stroke sample. Afr Health Sci 2016; 16: 772–780
36. Schmid AA, Damush T, Tu W, Depression improvement is related to social role functioning after stroke. Arch Phys Med Rehabil 2012; 93: 978–982
37. Lewin A, Jobges M, Werheid K. The influence of self-efficacy, pre-stroke depression and perceived social support on self-reported depressive symptoms during stroke rehabilitation. Neuropsychol Rehabil 2013; 23: 546–562
38. Kruithof WJ, Post MW, van Leeuwen CM, Schepers VP, van den Bos GA, Visser-Meily JM. Course of social support and relationships between social support and patients’ depressive symptoms in the first 3 years post-stroke. J Rehabil Med 2015; 47: 599–604
39. Benaim C, Cailly B, Perennou D, Pelissier J. Validation of the Aphasic Depression Rating Scale. Stroke 2004; 35: 1692–1696
40. Hilari K, Owen S, Farrelly SJ. Proxy and self-report agreement on the stroke and Aphasia Quality of Life Scale-39. J Neurol Neurosurg Psychiatry 2007; 78: 1072–1075
41. Cruice M, Worrall L, Hickson L, Measuring quality of life: Comparing family members’ and friends’ ratings with those of their aphasic partners. Aphasiology 2005; 19: 111–129
42. Olivier J, Tsimpo C, Gemignani R, Understanding the roles of faith-based health-care providers in Africa: review of the evidence with a focus on magnitude, reach, cost, and satisfaction. Lancet 2015; 386: 1765–1775