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American Journal of Public Health Research. 2019, 7(1), 14-20
DOI: 10.12691/AJPHR-7-1-3
Original Research

The HIV Epidemic and Cognitive Psychology: Negative Affect and Associative Imagery of HIV/AIDS among Young Adults in Cameroon

Derick Akompab Akoku1, , Mbah Abena Tihnje1, 2, Elisabeth Oben Tarh3, Elvis Enowbeyang Tarkang4 and Robinson Enow Mbu3, 5

1Community Research and Training Institute, Yaounde, Cameroon

2Cameroon Baptist Convention Health Services, HIV Free Survival Project, Yaounde, Cameroon

3Ministry of Public Health, Yaounde, Cameroon

4School of Public Health, University of Health and Allied Sciences, Ho, Ghana

5Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon

Pub. Date: January 25, 2019

Cite this paper

Derick Akompab Akoku, Mbah Abena Tihnje, Elisabeth Oben Tarh, Elvis Enowbeyang Tarkang and Robinson Enow Mbu. The HIV Epidemic and Cognitive Psychology: Negative Affect and Associative Imagery of HIV/AIDS among Young Adults in Cameroon. American Journal of Public Health Research. 2019; 7(1):14-20. doi: 10.12691/AJPHR-7-1-3

Abstract

Background: Although HIV/AIDS negatively affects socio-economic development in many countries, there are limited studies that have applied concepts in cognitive psychology to investigate population level attitudes towards HIV/AIDS. The objectives of this study were to: (1) investigate the affective imagery of HIV/AIDS; and (2) identify the predictors of “worry” about the negative consequences of HIV/AIDS among young adults. Methods: A population-based study was conducted in Kumba, Southwest Cameroon among youth aged 21-35 years. Data were collected from September to October 2016 by trained interviewers using paper-based questionnaires. Respondents were asked the extent to which they were worried about the negative consequences of HIV/AIDS on themselves, family, community, society, current and future generation. Respondents were also asked to identify the first thought/image that comes to their mind when they think of HIV/AIDS. Qualitative data were analyzed by the grounded theory tradition while weighted hierarchical linear regression was used to analyse quantitative data to identify the predictors of worry about the negative consequences of HIV/AIDS. The statistical level of significance was set at p<0.05. Results: The median age of the 767 respondents who participated in the study was 26 years (IQR: 23-29), 58.2% were males while 41.8% were females. 68.1% of respondents had negative feelings about the consequences of HIV/AIDS. Respondents who attained high school education and above (β= 1.12, p<0.001), who had negative feelings about HIV/AIDS (β= 1.11, p=<0.001) and who had a high self-perceived risk of contracting HIV (β= 1.49, p<0.001) were significantly more likely to be worried about the negative consequences of HIV/AIDS. However, males (β=-0.75, p=0.003) compared to females were less likely to be worried about the negative consequences of HIV/AIDS. Most respondents associated HIV/AIDS to death and conjures images such as “death sentence”, “deadly disease”, “disease with no cure” and “killer disease”. This was followed by images associated with fear, sadness and anxiety. Conclusions: Most respondents were worried about the consequences of HIV/AIDS and associated the epidemic to death and fear. These findings underscore the need for the psychosocial and cognitive processes of young adults to be considered during the design of HIV prevention and risk communication messages.

Keywords

HIV/AIDS, psychology, negative feelings, epidemic, images

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  UNAIDS: 90–90-90 An ambitious treatment target to help end the AIDS epidemic. 2014. Available at: http://www.unaids.org/sites/default/files/media_asset/90-90-90_en_0.pdf. (Accessed 15 January 2018).
 
[2]  Ortblad K, Lozano R, Murray C: The burden of HIV: insights from the Global Burden of Disease Study 2010. AIDS 2013, 27(13): (13): 2003-2017.
 
[3]  UNAIDS: Global AIDS Update 2016. In. Geneva, Switzerland; 2016.
 
[4]  Doyle A, Mavedzenge S, Plummer M, Ross D: The sexual behaviour of adolescents in sub-Saharan Africa: patterns and trends from national surveys. Trop Med Int Health 2012, 17(7): 796-807.
 
[5]  Stroeken K, Remes P, De Koker P, Michielsen K, Van Vossole A, Temmerman M: HIV among out-of-school youth in Eastern and Southern Africa: a review. AIDS Care 2012 2012, 24(2): 186-194.
 
[6]  Bogale A, Seme A: Premarital sexual practices and its predictors among in-school youths of Shendi town, west Gojjam zone, North Western Ethiopia. Reprod Health 2014, 11: 49.
 
[7]  Clayton H, Lowry R, August A, Jones S: Nonmedical Use of Prescription Drugs and Sexual Risk Behaviors. Pediatrics 2016, 137:1.
 
[8]  Mmari K, Blum R: Risk and protective factors that affect adolescent reproductive health in developing countries: A structured literature review. Global Public Health 2009, 4:350-366.
 
[9]  UNAIDS: Global AIDS Update: Progress towards the 90-90-90 targets. Available at http://www.unaids.org/sites/default/files/media_asset/Global_AIDS_update_2017_en.pdf (Accessed 22 December 2017).
 
[10]  Greeff M, Phetlhu RM, LN, Dlamini P, Holzemer W, Naidoo J: Disclosure of HIV status: experiences and perceptions of persons living with HIV/AIDS and nurses involved in their care in Africa. Qualitative Health Research 2008, 18(3): 311-324.
 
[11]  Dahlui M, Azahar N, Bulgiba A, Zaki R, Oche O, Adekunjo F, Chinna K: HIV/AIDS Related Stigma and Discrimination against PLWHA in Nigerian Population. PLoS ONE 2015, 10(12): e0143749.
 
[12]  Nakasuja N, Skolasky R, Musisi S, Allebeck ea: Depression symptoms and cognitive function among individuals with advanced HIV infection initiating HAART in Uganda. BMC Psychiatry 2010, 10(1): 44.
 
[13]  Thielman N, Ostermann J, Whetten K, Whetten R, O’Donnell K: Correlates of Poor Health among Orphans and Abandoned Children in Less Wealthy Countries: The Importance of Caregiver Health. PLoS ONE 2012, 7(6): e38109.
 
[14]  Naysmith S, de Waal A, Whiteside A: Revisiting new variant famine: The case of Swaziland. Food Security Food Security 2009, 1(3):251-260.
 
[15]  Rau B: The politics of civil society in confronting HIV/AIDS” in Poku N.K., Whiteside A. and Sandkjaer B. AIDS and governance, Ashgate, Aldershot; 2007.
 
[16]  Collins L, Ellis M, Pritchard E, Jenkins C: Child-headed households in Rakai District, Uganda: A mixed-methods study. Annals of Tropical Paediatrics International Child Health 2014, 0(0):0.
 
[17]  Sauer-Zavala S, Boswell J, Gallagher M, Bentley K, Ametaj A, Barlow D: The Role of Negative Affectivity and Negative Reactivity to Emotions in Predicting Outcomes in the Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders. Behaviour Research Therapy 2012, 50(9): 551-557.
 
[18]  Mackelprang R, Bosire R, Guthrie B, Choi R: High Rates of Relationship Dissolution Among Heterosexual HIV-Serodiscordant Couples in Kenya. AIDS Behav 2014, 18(1): 189-193.
 
[19]  Lerner J, Li Y, Valdesolo P, Kassam K. Emotion and decision making. Annu Rev Psychol 2015, 66(799).
 
[20]  Sweeny K, Dooley M: The surprising upsides of worry. Social and Personality Psychology Compass 2017, 11(4):e12311.
 
[21]  Newman M, Llera S, Erickson T, Przeworski A, Castonguay L: Worry and Generalized Anxiety Disorder: A Review and Theoretical Synthesis of Evidence on Nature, Etiology, Mechanisms, and Treatment. Annual Review of Clinical Psychology 2013, 9: 275-297.
 
[22]  Iqbal N, Dar K: Negative affectivity, depression, and anxiety: Does rumination mediate the links? Journal of Affective Disorders 2015, 181:18-23.
 
[23]  Gong F, Castaneda D, Zhang X, Stock L, Ayala L, Baron S: Using the associative imagery technique in qualitative health research: the experiences of homecare workers and consumers. Qual Health Res 2012, 22(10): 1414-1424.
 
[24]  National Institute of Statistics: Cameroon Demographic and Health Survey Report, National Institute of Statistics, Yaounde, Cameroon; 2011.
 
[25]  Akoku DA, Tihnje M, Tarh E, Tarkang E, Mbu R: Predictors of willingness to accept premarital HIV testing and intention to sero-sort future marital partners; risk and consequences: Findings from a population-based study in Cameroon. PLoS ONE 2018, 13(12): e0208890.
 
[26]  Akoku DA, Tihnje M, Vukugah T, Tarkang E, Mbu R: Socio-economic Vulnerabilities and HIV: Drivers of Transactional Sex Among Female Bar Workers in Yaoundé, Cameroon. PLoS ONE 2018; 13(6): e0198853.
 
[27]  Bryant A, Charmaz K: The SAGE Handbook of Grounded Theory: Paperback Edition: SAGE Publications; 2010.
 
[28]  Regression with Stata Chapter 2 – Regression Diagnostics. Available at https://stats.idre.ucla.edu/stata/webbooks/reg/chapter2/stata-webbooksregressionwith-statachapter-2-regression-diagnostics/( Accessed 29 December 2018)
 
[29]  Zembe Y, Townsend L, Thorson A, Ekstrom A: Predictors of Inconsistent Condom Use among a Hard to Reach Population of Young Women with Multiple Sexual Partners in Peri-Urban South Africa. PLoS ONE 2012, 7(12):e51998.
 
[30]  Ghosh J, Wadhwa V, Kalipeni E: Vulnerability to HIV/AIDS among women of reproductive age in the slums of Delhi and Hyderabad, India. Social Science & Medicine 2009, 68(4): 638-664.
 
[31]  Dippenaar J, Chinula G, Selaledi B: Support for lay caregivers of patients with HIV and AIDS in Lilongwe, Malawi. Africa Journal of Nursing and Midwifery 2011, 13(1):22-33.
 
[32]  Olds P, Kiwanuka J, Ware N, Tsai A, Haberer J: Explaining Antiretroviral Therapy Adherence Success Among HIV-Infected Children in Rural Uganda: A Qualitative Study. AIDS Behav 2015, 19(4): 584-593.
 
[33]  Aguero J, Bharadwaj P: Do the More Educated Know More about Health? Evidence from Schooling and HIV Knowledge in Zimbabwe Economic Development and Cultural Change 2014, 62(3): 489-517.
 
[34]  Young S, Jaganath D: Online Social Networking for HIV Education and Prevention: A Mixed Methods Analysis. Sex Transm Infect 2013, 40(2).
 
[35]  Batchelder A, Carrico A, Acree M, Hecht F, Moskowitz J: Positive and Negative Self‑Conscious Emotion and Transmission Risk Following HIV Diagnosis. AIDS and Behaviour 2017, 22(5): 1496-1502.
 
[36]  Doka KJ: AIDS, Fear and Society: Challenging the Dreaded Disease: Taylor & Francis; 2014.
 
[37]  Granich R, Gupta S, Hersh B, Williams B, Montaner J, Young Bea: Trends in AIDS Deaths, New Infections and ART Coverage in the Top 30 Countries with the Highest AIDS Mortality Burden; 1990-2013. Plos One 2015, 10: (7):e0131353.
 
[38]  Johnson L, Mossong J, Dorrington R, Schomaker M, Hoffmann C, Keiser O ea: Life expectancies of South African adults starting antiretroviral treatment: collaborative analysis of cohort studies. PLoS Med 2013 2013, 10:e1001418.
 
[39]  Deeks S, Lewin S, Havlir D: The end of AIDS: HIV infection as a chronic disease. Lancet 2013, 382(9903): 1525-1533.
 
[40]  Muthusamy N, Levine T, Weber R: Scaring the Already Scared: Some Problems With HIV/AIDS Fear Appeals in Namibia. Journal of Communication 2009, 59: 317-344.