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Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature
Abstract
We reviewed the existing empirical literature to assess cognitive and situational factors that may affect the validity of adolescents' self-reports of alcohol and other drug use, tobacco use, behaviors related to unintentional injuries and violence, dietary behaviors, physical activity, and sexual behavior. Specifically, we searched for peer-reviewed journal articles published in 1980 or later that examined the factors affecting self-report of the six categories of behavior listed above. We also searched for studies describing objective measures for each behavior. Self-reports of each of six types of health-risk behaviors are affected by both cognitive and situational factors. These factors, however, do not threaten the validity of self-reports of each type of behavior equally. The importance of assessing health-risk behaviors as part of research activities involving adolescents necessitates the use of self-report measures. Researchers should familiarize themselves with the threats to validity inherent in this type of assessment and design research that minimizes these threats as much as possible.
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“we ensured privacy and gave participants self-administered computerized assessments. The use of such techniques shows reliability and validity for self-report (Brener, Billy, & Grady, 2003).”
From Understanding the Role of Alcohol, Anxiety, and Trait Mindfulness in the Perpetration of Physical and Sexual Dating Violence in Emerging Adults. (2018) · cites this paper as Brener, Billy, & Grady, 2003
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“Further, self-reported activity might be affected by the respondents’ desire to provide socially desirable answers, or by recall bias.(38) Several of these biases could be avoided through objective measures of physical activity.”
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ResultNonmedical use of opioid analgesics among Ontario students.
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“Surveys were anonymous to increase the validity of self-reports of stigmatized and/or illegal behaviors.(45) Participation rates (Panels 1 and 2 combined), for large urban, northern urban, suburban, and rural areas, respectively, were 58%, 58%, 69%, and 71%, respectively.”
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“An additional limitation of our study pertains to the possibility that the self-report of adverse health behaviors such as smoking and drinking by adolescents may be subject to misreporting due to both cognitive factors, such as comprehension and recall, and to situational influences, namely social desirability and in…”
BackgroundUncontrollable stress, coping, and subjective well-being in urban adolescents
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“It is promising, however, that Brener et al. (2002) found adolescent self-report to be an overall adequately reliable way to gain information about health-risk behaviors.”
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Appetitive and regulatory processes in young adolescent drinkers
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Health Disparities Across Education: The Role of Differential Reporting Error
Cawley, J., & Choi, A. (2015) · National Bureau of Economic Research · doi:10.3386/w21317 · Cited by 45
The Legacy of Fear: Is Fear Impacting Fatal and Non-Fatal Drowning of African American Children?
Irwin, C. C., Irwin, R. L., Ryan, T. D., & Drayer, J. (2011) · Journal of Black Studies · doi:10.1177/0021934710385549 · Cited by 44
Sinclair, R., Millar, L., Allender, S. E., Snowdon, W., Waqa, G., Jacka, F. N., Moodie, M., Petersen, S., & Swinburn, B. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161709 · Cited by 46
Violent firearm-related conflicts among high-risk youth: An event-level and daily calendar analysis
Carter, P. M., Walton, M. A., Goldstick, J. E., Epstein-Ngo, Q. M., Zimmerman, M. A., Mercado, M. C., Garcia‐Williams, A. G., & Cunningham, R. M. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.07.011 · Cited by 44
Honesty on student evaluations of teaching: effectiveness, purpose, and timing matter!
McClain, L. R., Gulbis, A., & Hays, D. (2017) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2017.1350828 · Cited by 44
Burns, E. C., Martin, A. J., & Collie, R. J. (2018) · Journal of Educational Psychology · doi:10.1037/edu0000291 · Cited by 48
Female Adolescent Athletes’ Awareness of the Connection between Menstrual Status and Bone Health
Feldmann, J. M., Belsha, J. P., Eissa, M. A., & Middleman, A. B. (2011) · Journal of Pediatric and Adolescent Gynecology · doi:10.1016/j.jpag.2011.05.011 · Cited by 43
Pater, J. A., Miller, A., & Mynatt, E. D. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702534 · Cited by 43
“While this seems illogical, that an individual would report known and not knowing who was bullying them, this is consistent with cyberbullying reporting because victims are usually bullied by more than one person and find themselves knowing the identities of one or more of the bullies, but not all responsible [3].”
BackgroundThe Mythology of Swimming: Are Myths Impacting Minority Youth Participation?
Irwin, C. C., Irwin, R. L., Ryan, T. D., & Drayer, J. (2009) · International Journal of Aquatic Research and Education · doi:10.25035/ijare.03.01.03 · Cited by 41
Lammers, J., Goossens, F. X., Conrod, P., Engels, R. C. M. E., Wiers, R. W. H. J., & Kleinjan, M. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.02.030 · Cited by 43
Adolescent Access to Online Health Services: Perils and Promise
Moreno, M. A., Ralston, J. D., & Grossman, D. C. (2008) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2008.07.015 · Cited by 41
Siegel, A., Benbenishty, R., & Astor, R. A. (2016) · Journal of Child & Adolescent Substance Abuse · doi:10.1080/1067828x.2016.1139481 · Cited by 42
Carter, P. M., Cranford, J. A., Buu, A., Walton, M. A., Zimmerman, M. A., Goldstick, J. E., Ngo, Q., & Cunningham, R. M. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106127 · Cited by 43
Yang, R., Li, D., Hu, J., Tian, R., Wan, Y., Tao, F., Fang, J. Q., & Zhang, S. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16193680 · Cited by 42
“The validity of self-reports current smoking and AU have been demonstrated [32,33].”
BackgroundSugar-Sweetened Beverage Consumption, Perceptions, and Disparities in Children and Adolescents
Roesler, A., Rojas, N., & Falbe, J. (2021) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2021.04.004 · Cited by 42
Favourite alcohol advertisements and binge drinking among adolescents: a cross-cultural cohort study
Morgenstern, M., Sargent, J. D., Sweeting, H. N., Faggiano, F., Mathis, F., & Hanewinkel, R. (2014) · Addiction · doi:10.1111/add.12667 · Cited by 42
Antecedent Predictors of Children's Initiation of Sipping/Tasting Alcohol
Donovan, J. E., & Molina, B. S. G. (2014) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12517 · Cited by 42
“However, age of initiation was based on consistent reports across multiple waves of data, and both child and adolescent self-reports have been shown to be valid (Brener et al., 2003; Dielman et al., 1995; Donovan et al., 2004; Smith et al., 1995; Winters et al., 1990–91).”
Finger, J. D., Varnaccia, G., Tylleskär, T., Lampert, T., & Mensink, G. (2015) · BMC Public Health · doi:10.1186/s12889-015-1830-2 · Cited by 42
“Food frequency assessment based on self-reporting has several limitations [52]: Healthy food intake may be over reported and unhealthy food intake may be under reported due to social desirability bias.”
BackgroundDeterminants of Cigarette Smoking Initiation in Jordanian Schoolchildren: Longitudinal Analysis
McKelvey, K., Attonito, J. M., Madhivanan, P., Yi, Q., Mzayek, F., & Maziak, W. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntu165 · Cited by 42
Peer substance use overestimation among French university students: a cross-sectional survey
França, L. R., Dautzenberg, B., Falissard, B., & Reynaud, M. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-169 · Cited by 44
“Self-reported substance use questionnaires have, however, been shown to be reliable for the substances studied [54].”
BackgroundGupta, N., Heiden, M., Mathiassen, S. E., & Holtermann, A. (2017) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.3693 · Cited by 45
“Individual factors, like body mass index (BMI) (10), musculoskeletal pain (11), education (12), leisure-time physical activity (13), and occupation (12, 14) have been shown to influence the extent of under- or over-reporting of sedentary behavior and physical activity.”
BackgroundBorschmann, R., Becker, D., Spry, E., Youssef, G. J., Olsson, C. A., Hutchinson, D. M., Silins, E., Boden, J. M., Moreno‐Betancur, M., Najman, J. M., et al. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.02.004 · Cited by 43
“First, data were obtained by selfreport and may have been subject to a social desirability bias, the extent of which can vary with age (Brener et al., 2003).”
MethodSpringer, A. E., Hoelscher, D. M., & Kelder, S. H. (2006) · Journal of Physical Activity and Health · doi:10.1123/jpah.3.4.365 · Cited by 43
Springer, A. E., Hoelscher, D. M., Castrucci, B. C., Pérez, A., & Kelder, S. H. (2009) · PubMed Central · Cited by 42
Prevalence of Past Year Assault Among Inner-City Emergency Department Patients
Cunningham, R. M., Murray, R. M., Walton, M. A., Chermack, S. T., Wojnar, M., Woźniak, P., Booth, B. M., & Blow, F. C. (2009) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2009.01.016 · Cited by 41
Components of Brief Alcohol Interventions for Youth in the Emergency Department
Walton, M. A., Chermack, S. T., Blow, F. C., Ehrlich, P. F., Barry, K. L., Booth, B. M., & Cunningham, R. M. (2014) · Substance Abuse · doi:10.1080/08897077.2014.958607 · Cited by 41
“Data from this study are limited to selfreport; however, several methods were used to increase validity, including use of computerized assessments, assurances of confidentiality, and validated measures.(63) Findings are limited in that not all the same data were captured in the therapist and computer BIs, reflecting c…”
Method
Metadata
- Authors
- Brener, N. D., Billy, J. O. G., & Grady, W. R.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Battelle (US)
- Corresponding author
- Brener, Nancy D
- ORCID
- Brener, Nancy D
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 33
- Issue
- 6
- Pages
- 436-457
- ISSN
- 1054-139X (ISSN-L)
- OpenAlex
- W2087261951
- Cited by
- 1,331
- References
- 108
- Citations by year
- 2026: 43 · 2025: 41 · 2024: 38 · 2023: 43 · 2022: 61 · 2021: 74 · 2020: 69 · 2019: 76 · 2018: 88 · 2017: 82 · 2016: 91 · 2015: 113 · 2014: 87 · 2013: 86 · 2012: 55
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Adolescent Health and Behaviors
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Adolescent Sexual and Reproductive Health
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- self-report validity, adolescent health risk behaviors, alcohol consumption, drug use, tobacco use, unintentional injuries, violence, dietary behavior, physical activity, sexual behavior, cognitive factors, situational factors, objective measures
- MeSH terms
- Adolescent, Adolescent Behavior, Alcoholism, Feeding Behavior, Humans, Risk-Taking, Self-Assessment, Sexual Behavior, Tobacco Use Disorder, Violence, Substance-Related Disorders
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