Skip to main content
Top
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

A contextually relevant approach to assessing health risk behavior in a rural sub-Saharan Africa setting: the Kilifi health risk behavior questionnaire

Authors: Derrick Ssewanyana, Anneloes van Baar, Charles R. Newton, Amina Abubakar

Published in: BMC Public Health | Issue 1/2018

Login to get access

Abstract

Background

Health risk behavior (HRB) is of concern during adolescence. In sub-Saharan Africa, reliable, valid and culturally appropriate measures of HRB are urgently needed. This study aims at assembling and psychometrically evaluating a comprehensive questionnaire on HRB of adolescents in Kilifi County at the coast of Kenya.

Methods

The Kilifi Health Risk Behavior Questionnaire (KRIBE-Q) was assembled using items on HRB identified from a systematic review and by consulting 85 young people through 11 focus group discussions and in-depth interviews with 10 key informants like teachers and employees of organizations providing various services to young people in Kilifi County. The assembled list of HRB items were back and forward translated from English to Swahili and harmonized by a panel of experts. A total of 164 adolescents completed the assembled Swahili questionnaire at baseline and two weeks later 85 of them completed the questionnaire again. A classical test theory approach was utilized for psychometric evaluation. We computed the amount of missing data at item-level to verify data quality. Scaling evaluation was assessed by spread of responses across options at an item-level. Using Gwet’s AC1 coefficient, test-retest reliability was assessed using data from the 85 adolescents who answered the questionnaire twice. Observations and completion of a brief questionnaire were done for non-psychometric evaluation of the KRIBE-Q administered via audio-computer assisted self-interview (ACASI) in Swahili language to 40 adolescents.

Results

The KRIBE-Q showed high data quality, good spread of responses across options and a very good test-retest reliability (Gwet’s AC1 = 0.82). It comprised 8 components with acceptable test-retest reliability: behavior resulting in unintentional injury and violence (0.85); tobacco use (0.85); alcohol and drug use (0.96); sexual behaviors (0.94); dietary behaviors (0.60); physical activity (0.74); gambling (0.73); and hygiene behavior (0.89). About 96% of the adolescents found the ACASI private and easy to use. Prevalence of bullying (32%), physical fights (40%) and engagement in gambling (26%) was high.

Conclusion

The KRIBE-Q assembled in this study is a psychometrically sound instrument for adolescents in rural coastal Kenya and feasible to administer via ACASI. This measure may be useful for surveys and planning interventions in similar settings.
Appendix
Available only for authorised users
Literature
1.
go back to reference Gore FM, Bloem PJ, Patton GC, Ferguson J, Joseph V, Coffey C, Sawyer SM, Mathers CD. Global burden of disease in young people aged 10–24 years: a systematic analysis. Lancet. 2011;377(9783):2093–102.CrossRefPubMed Gore FM, Bloem PJ, Patton GC, Ferguson J, Joseph V, Coffey C, Sawyer SM, Mathers CD. Global burden of disease in young people aged 10–24 years: a systematic analysis. Lancet. 2011;377(9783):2093–102.CrossRefPubMed
2.
go back to reference DiClemente RJ, Hansen WB, Ponton LE. Handbook of adolescent health risk behavior. Berlin: Springer; 2013. DiClemente RJ, Hansen WB, Ponton LE. Handbook of adolescent health risk behavior. Berlin: Springer; 2013.
3.
go back to reference Lupton D. Health Risk Behavior. In: Ritzer G, editor. Blackwell Encyclopedia of Sociology. New Jersey: Blackwell Publishing; 2007. Lupton D. Health Risk Behavior. In: Ritzer G, editor. Blackwell Encyclopedia of Sociology. New Jersey: Blackwell Publishing; 2007.
5.
go back to reference Roberts C, Currie C, Samdal O, Currie D, Smith R, Maes L. Measuring the health and health behaviours of adolescents through cross-national survey research: recent developments in the health behaviour in school-aged children (HBSC) study. J Public Health. 2007;15(3):179–86.CrossRef Roberts C, Currie C, Samdal O, Currie D, Smith R, Maes L. Measuring the health and health behaviours of adolescents through cross-national survey research: recent developments in the health behaviour in school-aged children (HBSC) study. J Public Health. 2007;15(3):179–86.CrossRef
6.
go back to reference Brener ND, Collins JL, Kann L, Warren CW, Williams BI. Reliability of the youth risk behavior survey questionnaire. Am J Epidemiol. 1995;141(6):575–80.CrossRefPubMed Brener ND, Collins JL, Kann L, Warren CW, Williams BI. Reliability of the youth risk behavior survey questionnaire. Am J Epidemiol. 1995;141(6):575–80.CrossRefPubMed
8.
go back to reference Galvan A, Hare T, Voss H, Glover G, Casey B. Risk-taking and the adolescent brain: who is at risk? Dev Sci. 2007;10(2):F8–F14.CrossRefPubMed Galvan A, Hare T, Voss H, Glover G, Casey B. Risk-taking and the adolescent brain: who is at risk? Dev Sci. 2007;10(2):F8–F14.CrossRefPubMed
9.
go back to reference WHO. Global Accelerated Action for the Health of Adolescents (AA-HA!): guidance to support country implementation. Summary. Geneva: World Health Organization; 2017. WHO. Global Accelerated Action for the Health of Adolescents (AA-HA!): guidance to support country implementation. Summary. Geneva: World Health Organization; 2017.
10.
go back to reference Ssewanyana D, Nyongesa MK, Baar A, Newton CR, Abubakar A. Health risk behavior among chronically ill adolescents: a systematic review of assessment tools. Child Adolesc. Ment. Health. 2017;11(1):32.CrossRef Ssewanyana D, Nyongesa MK, Baar A, Newton CR, Abubakar A. Health risk behavior among chronically ill adolescents: a systematic review of assessment tools. Child Adolesc. Ment. Health. 2017;11(1):32.CrossRef
11.
go back to reference Puffer ES, Meade CS, Drabkin AS, Broverman SA, Ogwang-Odhiambo RA, Sikkema KJ. Individual-and family-level psychosocial correlates of HIV risk behavior among youth in rural Kenya. AIDS Behav. 2011;15(6):1264–74.CrossRefPubMedPubMedCentral Puffer ES, Meade CS, Drabkin AS, Broverman SA, Ogwang-Odhiambo RA, Sikkema KJ. Individual-and family-level psychosocial correlates of HIV risk behavior among youth in rural Kenya. AIDS Behav. 2011;15(6):1264–74.CrossRefPubMedPubMedCentral
12.
go back to reference Embleton L, Nyandat J, Ayuku D, Sang E, Kamanda A, Ayaya S, Nyandiko W, Gisore P, Vreeman R, Atwoli L. Sexual behavior among orphaned adolescents in western Kenya: a comparison of institutional-and family-based care settings. J Adolesc Health. 2017;60(4):417–24.CrossRefPubMedPubMedCentral Embleton L, Nyandat J, Ayuku D, Sang E, Kamanda A, Ayaya S, Nyandiko W, Gisore P, Vreeman R, Atwoli L. Sexual behavior among orphaned adolescents in western Kenya: a comparison of institutional-and family-based care settings. J Adolesc Health. 2017;60(4):417–24.CrossRefPubMedPubMedCentral
13.
go back to reference Onywera VO, Muthuri SK, Hayker S, Wachira L-JM, Kyallo F, Mang’eni RO, Bukhala P, Mireri C. Results from Kenya’s 2016 report card on physical activity for children and youth. J Phys Act Health. 2016;13(11 Suppl 2):S195–200.CrossRefPubMed Onywera VO, Muthuri SK, Hayker S, Wachira L-JM, Kyallo F, Mang’eni RO, Bukhala P, Mireri C. Results from Kenya’s 2016 report card on physical activity for children and youth. J Phys Act Health. 2016;13(11 Suppl 2):S195–200.CrossRefPubMed
14.
go back to reference Otieno A, Ofulla A. Drug abuse in Kisumu town western Kenya. Afr J Food Agric Nutr Dev. 2009;9(3): Otieno A, Ofulla A. Drug abuse in Kisumu town western Kenya. Afr J Food Agric Nutr Dev. 2009;9(3):
15.
go back to reference Ndetei DM, Khasakhala LI, Mutiso V, Ongecha-Owuor FA, Kokonya DA. Drug use in a rural secondary school in Kenya. Subst Abus. 2010;31(3):170–3.CrossRefPubMed Ndetei DM, Khasakhala LI, Mutiso V, Ongecha-Owuor FA, Kokonya DA. Drug use in a rural secondary school in Kenya. Subst Abus. 2010;31(3):170–3.CrossRefPubMed
16.
go back to reference Ruto SJ. Sexual abuse of school age children: evidence from Kenya. J Int Cooperation Educ. 2009;12(1):177–92. Ruto SJ. Sexual abuse of school age children: evidence from Kenya. J Int Cooperation Educ. 2009;12(1):177–92.
17.
go back to reference Juma M, Askew I, Alaii J, Bartholomew LK, van den Borne B. Cultural practices and sexual risk behaviour among adolescent orphans and non-orphans: a qualitative study on perceptions from a community in western Kenya. BMC Public Health. 2014;14(1):84.CrossRefPubMedPubMedCentral Juma M, Askew I, Alaii J, Bartholomew LK, van den Borne B. Cultural practices and sexual risk behaviour among adolescent orphans and non-orphans: a qualitative study on perceptions from a community in western Kenya. BMC Public Health. 2014;14(1):84.CrossRefPubMedPubMedCentral
18.
go back to reference Abubakar A, van de Vijver FJ. How to adapt tests for sub-Saharan Africa. In: Handbook of Applied Developmental Science in Sub-Saharan Africa. Eedn. New York: Springer; 2017. p. 197–212. Abubakar A, van de Vijver FJ. How to adapt tests for sub-Saharan Africa. In: Handbook of Applied Developmental Science in Sub-Saharan Africa. Eedn. New York: Springer; 2017. p. 197–212.
19.
go back to reference Brener ND, Collins JL. Co-occurrence of health-risk behaviors among adolescents in the United States. J Adolesc Health. 1998;22(3):209–13.CrossRefPubMed Brener ND, Collins JL. Co-occurrence of health-risk behaviors among adolescents in the United States. J Adolesc Health. 1998;22(3):209–13.CrossRefPubMed
20.
go back to reference Nelson MC, Gordon-Larsen P. Physical activity and sedentary behavior patterns are associated with selected adolescent health risk behaviors. Pediatrics. 2006;117(4):1281–90.CrossRefPubMed Nelson MC, Gordon-Larsen P. Physical activity and sedentary behavior patterns are associated with selected adolescent health risk behaviors. Pediatrics. 2006;117(4):1281–90.CrossRefPubMed
21.
go back to reference Kenya National Bureau of of Statistics (KNBS). 2015 Kenya Demographic and Health Survey, Key Indicators. Rockville: ICF International; 2014. Kenya National Bureau of of Statistics (KNBS). 2015 Kenya Demographic and Health Survey, Key Indicators. Rockville: ICF International; 2014.
22.
go back to reference Ssewanyana D, Mwangala PN, Marsh V, Jao I, van Baar A, Newton CR, Abubakar A. Young people’s and stakeholders’ perspectives of adolescent sexual risk behavior in Kilifi County, Kenya: a qualitative study. J Health Psychol. 2017;23(2):188–205.CrossRefPubMedPubMedCentral Ssewanyana D, Mwangala PN, Marsh V, Jao I, van Baar A, Newton CR, Abubakar A. Young people’s and stakeholders’ perspectives of adolescent sexual risk behavior in Kilifi County, Kenya: a qualitative study. J Health Psychol. 2017;23(2):188–205.CrossRefPubMedPubMedCentral
23.
go back to reference Holding P, Abubakar A, P. W: Where there are no tests: a systematic approach to test adaptation. In: Cognitive Impairment: causes, diagnosis and treatment. Volume 189–200, edn. Edited by Landow ML. New York: Nova Science Publishers; 2009. Holding P, Abubakar A, P. W: Where there are no tests: a systematic approach to test adaptation. In: Cognitive Impairment: causes, diagnosis and treatment. Volume 189–200, edn. Edited by Landow ML. New York: Nova Science Publishers; 2009.
24.
go back to reference Harachi TW, Choi Y, Abbott RD, Catalano RF, Bliesner SL. Examining equivalence of concepts and measures in diverse samples. Prev Sci. 2006;7(4):359–68.CrossRefPubMedPubMedCentral Harachi TW, Choi Y, Abbott RD, Catalano RF, Bliesner SL. Examining equivalence of concepts and measures in diverse samples. Prev Sci. 2006;7(4):359–68.CrossRefPubMedPubMedCentral
28.
go back to reference Fisher S. Developing the DSM-IV-DSM-IV criteria to identify adolescent problem gambling in non-clinical populations. J Gambl Stud. 2000;16(2–3):253–73.CrossRefPubMed Fisher S. Developing the DSM-IV-DSM-IV criteria to identify adolescent problem gambling in non-clinical populations. J Gambl Stud. 2000;16(2–3):253–73.CrossRefPubMed
29.
go back to reference Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.CrossRefPubMed Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.CrossRefPubMed
30.
go back to reference Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.CrossRefPubMed Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.CrossRefPubMed
31.
go back to reference Centers for Disease Control and Prevention (CDC). A guide to conducting your own youth risk behavior survey. Atlanta: Center for Disease Control and Prevention; 2014. Centers for Disease Control and Prevention (CDC). A guide to conducting your own youth risk behavior survey. Atlanta: Center for Disease Control and Prevention; 2014.
32.
go back to reference Crocker L, Algina J. Introduction to classical and modern test theory. California: ERIC; 1986. Crocker L, Algina J. Introduction to classical and modern test theory. California: ERIC; 1986.
33.
go back to reference Petrillo J, Cano SJ, McLeod LD, Coon CD. Using classical test theory, item response theory, and Rasch measurement theory to evaluate patient-reported outcome measures: a comparison of worked examples. Value Health. 2015;18(1):25–34.CrossRefPubMed Petrillo J, Cano SJ, McLeod LD, Coon CD. Using classical test theory, item response theory, and Rasch measurement theory to evaluate patient-reported outcome measures: a comparison of worked examples. Value Health. 2015;18(1):25–34.CrossRefPubMed
34.
go back to reference StataCorp L. Stata 13. College Station: StataCorp LP; 2014. StataCorp L. Stata 13. College Station: StataCorp LP; 2014.
36.
go back to reference Brener ND, Kann L, McManus T, Kinchen SA, Sundberg EC, Ross JG. Reliability of the 1999 youth risk behavior survey questionnaire. J Adolesc Health. 2002;31(4):336–42.CrossRefPubMed Brener ND, Kann L, McManus T, Kinchen SA, Sundberg EC, Ross JG. Reliability of the 1999 youth risk behavior survey questionnaire. J Adolesc Health. 2002;31(4):336–42.CrossRefPubMed
37.
go back to reference Baheiraei A, Hamzehgardeshi Z, Mohammadi M, Nedjat S, Mohammadi E. Psychometric properties of the Persian version of the youth risk behavior survey questionnaire. Iran Red Crescent Med J. 2012;14(6):363.PubMedPubMedCentral Baheiraei A, Hamzehgardeshi Z, Mohammadi M, Nedjat S, Mohammadi E. Psychometric properties of the Persian version of the youth risk behavior survey questionnaire. Iran Red Crescent Med J. 2012;14(6):363.PubMedPubMedCentral
38.
go back to reference Guedes DP, Lopes CC. Validation of the Brazilian version of the 2007 youth risk behavior survey. Rev Saude Publica. 2010;44(5):840–50.CrossRefPubMed Guedes DP, Lopes CC. Validation of the Brazilian version of the 2007 youth risk behavior survey. Rev Saude Publica. 2010;44(5):840–50.CrossRefPubMed
39.
go back to reference Gwet KL: Handbook of inter-rater reliability: the definitive guide to measuring the extent of agreement among raters: advanced analytics, LLC; 2014. Gwet KL: Handbook of inter-rater reliability: the definitive guide to measuring the extent of agreement among raters: advanced analytics, LLC; 2014.
40.
go back to reference Gwet K. Kappa statistic is not satisfactory for assessing the extent of agreement between raters. Stat Methods Inter-rater Reliability Assess. 2002;1(6):1–6. Gwet K. Kappa statistic is not satisfactory for assessing the extent of agreement between raters. Stat Methods Inter-rater Reliability Assess. 2002;1(6):1–6.
41.
go back to reference Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008;61(1):29–48.CrossRefPubMed Gwet KL. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008;61(1):29–48.CrossRefPubMed
42.
go back to reference Cohen J. Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit. Psychol Bull. 1968;70(4):213.CrossRefPubMed Cohen J. Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit. Psychol Bull. 1968;70(4):213.CrossRefPubMed
43.
go back to reference Cicchetti DV, Feinstein AR. High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol. 1990;43(6):551–8.CrossRefPubMed Cicchetti DV, Feinstein AR. High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol. 1990;43(6):551–8.CrossRefPubMed
44.
go back to reference Wongpakaran N, Wongpakaran T, Wedding D, Gwet KL. A comparison of Cohen’s kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples. BMC Med Res Methodol. 2013;13(1):61.CrossRefPubMedPubMedCentral Wongpakaran N, Wongpakaran T, Wedding D, Gwet KL. A comparison of Cohen’s kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples. BMC Med Res Methodol. 2013;13(1):61.CrossRefPubMedPubMedCentral
45.
go back to reference Bland D, Altman D. Practical statistics for medical research. London: Chapman Hall; 1991. p. 309. Bland D, Altman D. Practical statistics for medical research. London: Chapman Hall; 1991. p. 309.
46.
go back to reference Ssewanyana D, Abubakar A, van Baar A, Mwangala PN, Newton CR. Perspectives on underlying factors for unhealthy diet and sedentary lifestyle of adolescents at a Kenyan coastal setting. Front Public Health. 2018;6:11.CrossRefPubMedPubMedCentral Ssewanyana D, Abubakar A, van Baar A, Mwangala PN, Newton CR. Perspectives on underlying factors for unhealthy diet and sedentary lifestyle of adolescents at a Kenyan coastal setting. Front Public Health. 2018;6:11.CrossRefPubMedPubMedCentral
47.
go back to reference Alwin DF, Krosnick JA. The reliability of survey attitude measurement: the influence of question and respondent attributes. Sociol Methods Res. 1991;20(1):139–81.CrossRef Alwin DF, Krosnick JA. The reliability of survey attitude measurement: the influence of question and respondent attributes. Sociol Methods Res. 1991;20(1):139–81.CrossRef
48.
go back to reference Alwin DF. Information transmission in the survey interview: number of response categories and the reliability of attitude measurement. Sociol Methodol. 1992:83–118. Alwin DF. Information transmission in the survey interview: number of response categories and the reliability of attitude measurement. Sociol Methodol. 1992:83–118.
49.
go back to reference Rattray J, Jones MC. Essential elements of questionnaire design and development. J Clin Nurs. 2007;16(2):234–43.CrossRefPubMed Rattray J, Jones MC. Essential elements of questionnaire design and development. J Clin Nurs. 2007;16(2):234–43.CrossRefPubMed
50.
go back to reference Brown DW, Riley L, Butchart A, Kann L. Bullying among youth from eight African countries and associations with adverse health behaviors. Pediatr Health. 2008;2(3):289–300.CrossRef Brown DW, Riley L, Butchart A, Kann L. Bullying among youth from eight African countries and associations with adverse health behaviors. Pediatr Health. 2008;2(3):289–300.CrossRef
51.
go back to reference Ndetei DM, Ongecha FA, Khasakhala L, Syanda J, Mutiso V, Othieno CJ, Odhiambo G, Kokonya DA. Bullying in public secondary schools in Nairobi, Kenya. Child Adolesc Ment Health. 2007;19(1):45–55.CrossRef Ndetei DM, Ongecha FA, Khasakhala L, Syanda J, Mutiso V, Othieno CJ, Odhiambo G, Kokonya DA. Bullying in public secondary schools in Nairobi, Kenya. Child Adolesc Ment Health. 2007;19(1):45–55.CrossRef
52.
go back to reference Otiende M, Abubakar A, Mochamah G, Walumbe D, Nyundo C, Doyle AM, Ross DA, Newton CR, Bauni E. Psychometric evaluation of the major depression inventory among young people living in coastal Kenya. Wellcome Open Res. 2017;2:113.CrossRefPubMedPubMedCentral Otiende M, Abubakar A, Mochamah G, Walumbe D, Nyundo C, Doyle AM, Ross DA, Newton CR, Bauni E. Psychometric evaluation of the major depression inventory among young people living in coastal Kenya. Wellcome Open Res. 2017;2:113.CrossRefPubMedPubMedCentral
53.
go back to reference Waruru AK, Nduati R, Tylleskär T. Audio computer-assisted self-interviewing (ACASI) may avert socially desirable responses about infant feeding in the context of HIV. BMC Med Inform Decis Mak. 2005;5(1):24.CrossRefPubMedPubMedCentral Waruru AK, Nduati R, Tylleskär T. Audio computer-assisted self-interviewing (ACASI) may avert socially desirable responses about infant feeding in the context of HIV. BMC Med Inform Decis Mak. 2005;5(1):24.CrossRefPubMedPubMedCentral
54.
go back to reference Van Der Elst EM, Okuku HS, Nakamya P, Muhaari A, Davies A, McClelland RS, Price MA, Smith AD, Graham SM, Sanders EJ. Is audio computer-assisted self-interview (ACASI) useful in risk behaviour assessment of female and male sex workers, Mombasa, Kenya? PLoS One. 2009;4(5):e5340.CrossRefPubMedPubMedCentral Van Der Elst EM, Okuku HS, Nakamya P, Muhaari A, Davies A, McClelland RS, Price MA, Smith AD, Graham SM, Sanders EJ. Is audio computer-assisted self-interview (ACASI) useful in risk behaviour assessment of female and male sex workers, Mombasa, Kenya? PLoS One. 2009;4(5):e5340.CrossRefPubMedPubMedCentral
57.
go back to reference Krumpal I. Determinants of social desirability bias in sensitive surveys: a literature review. Qual Quant. 2013;47(4):2025–47.CrossRef Krumpal I. Determinants of social desirability bias in sensitive surveys: a literature review. Qual Quant. 2013;47(4):2025–47.CrossRef
Metadata
Title
A contextually relevant approach to assessing health risk behavior in a rural sub-Saharan Africa setting: the Kilifi health risk behavior questionnaire
Authors
Derrick Ssewanyana
Anneloes van Baar
Charles R. Newton
Amina Abubakar
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5710-4

Other articles of this Issue 1/2018

BMC Public Health 1/2018 Go to the issue