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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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Methodological Issues in a Survey of Children's Online Risk-Taking and Other Behaviours in Europe
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“Brener et al. (2003) found that both cognitive and situational factors are at play when assessing the validity of responses, but that the degree to which either set of factors influences the outcomes varies by the behaviour being addressed.”
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BackgroundResultThe Association Between State Physical Education Laws and Student Physical Activity
Lin, W., Leider, J., Shang, C., Hennessy, E., Perna, F. M., & Chriqui, J. F. (2019) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2019.09.018 · Cited by 25
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“Limitations of this analysis include our use of self-reported data. While HBSC questionnaire items have been subjected to extensive piloting and validation efforts, the possibility of biased (eg, socially desirable) reporting of health risk behaviours must be recognised. Such errors in recall are likely to have occurr…”
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“Although self-reporting is the easier and cheaper method for assessing alcohol intake, its potential inaccuracy may lead to an underestimation or overestimation of alcohol intake, especially when comparing participants from different ethnical backgrounds with differing social perception to alcohol consumption [11].”
MethodSocioeconomic Differences in Adolescent Health-Related Behavior Differ by Gender
Pitel, L., aacute, A. M. A. G., Reijneveld, S. A., & van Dijk, J. P. (2013) · Journal of Epidemiology · doi:10.2188/jea.je20120133 · Cited by 24
Premarital sex and pregnancy in Greater Jakarta
O’Donnell, J. P., Utomo, I. D., & McDonald, P. (2020) · Genus · doi:10.1186/s41118-020-00081-8 · Cited by 24
“Computer assisted self-interviews and, to a lesser extent, paper-based questionnaires often produce higher estimates of self-reported sexual activity than faceto-face interviews (Brener et al., 2003; Mullany et al., 2013; Dodou & de Winter, 2014; Gnambs & Kaspar, 2015).”
BackgroundHu, J., Yang, R., Li, D., Zhao, S., Wan, Y., Tao, F., Fang, J. Q., & Zhang, S. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102518 · Cited by 24
Pedroni, C., Dujeu, M., Lebacq, T., Desnouck, V., Holmberg, E., & Castetbon, K. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245597 · Cited by 24
“Secondly, all data collected were self-reported which can be a source of declaration bias [45].”
BackgroundVera, B. D. V., Carmona, J., Lozano, O. M., Parrado‐González, A., Giné, C. V., Pautassi, R. M., & Fernández‐Calderón, F. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10194468 · Cited by 28
Prevalence and Factors Associated With Vaping Cannabidiol Among US Adolescents
Dai, H. D., Subramanian, R., Mahroke, A., & Wang, M. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.29167 · Cited by 24
Telling the Truth About Drug Use
Hunt, D. E., Kling, R. N., Almozlino, Y., Jalbert, S. K., Chapman, M. T., & Rhodes, W. M. (2015) · Journal of Drug Issues · doi:10.1177/0022042615589406 · Cited by 24
Han, J. S., Rogers, M. E., Nurani, S., Rubin, S., & Blank, S. (2011) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.12.006 · Cited by 24
The Relationship between Childhood Maltreatment and Opiate Dependency in Adolescence and Middle Age.
Naqavi, M. R., Mohammadi, M., Salari, V., & Nakhaee, N. (2011) · Europe PMC (PubMed Central) · Cited by 24
Davies, E., Paltoglou, A. E., & FOXCROFT, D. R. (2016) · British Journal of Health Psychology · doi:10.1111/bjhp.12225 · Cited by 24
“When self –reporting health risk behaviours, adolescents’ responses may be affected by cognitive factors (such as memory) or situational factors (such as the environment in which the research takes place) (Brener, Billy, & Grady, 2003).”
BackgroundAho, H., Koivisto, A., Paavilainen, E., & Joronen, K. (2019) · Nursing Open · doi:10.1002/nop2.260 · Cited by 24
“However, self‐reports have been shown to be reliable when conducted under optimized measurement conditions, ensur‐ ing anonymity and when using a variety of questions (Brener et al., 2003; Caraballo, Giovino, & Pechacek, 2004).”
Patterns and related factors of bidi smoking in India
Mbulo, L., Palipudi, K. M., Smith, T., Yin, S., Munish, V. G., Sinha, D. N., Gupta, P. C., & Swasticharan, L. (2020) · Tobacco Prevention & Cessation · doi:10.18332/tpc/119053 · Cited by 24
Whiteside, L., Cunningham, R. M., Bonar, E. E., Blow, F. C., Ehrlich, P. F., & Walton, M. A. (2014) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2014.05.003 · Cited by 24
Disposable Income With Tobacco Smoking Among Young Adolescents: A Multilevel Analysis
Chen, C., Lin, I., Huang, S. L., Tsai, T., & Chen, Y.-Y. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2012.12.009 · Cited by 24
“, ensuring anonymity and filling-in answer in separate scannable card), there is a possibility that young participantsmay skip questions or underreport their smoking behaviors [39].”
BackgroundDating Violence Among Male and Female Youth Seeking Emergency Department Care
Singh, V., Walton, M. A., Whiteside, L. K., Stoddard, S., Epstein-Ngo, Q., Chermack, S. T., & Cunningham, R. M. (2014) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2014.05.027 · Cited by 23
“However, when privacy is assured and when participants utilize self-administered computerized assessments, many previous studies support the reliability and validity of self-report as used in this study (36–38).”
Frequency of Use and Smoking Status of U.S. Adolescent E-Cigarette Users in 2015
Farsalinos, K. E., Tomaselli, V., & Polosa, R. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.03.003 · Cited by 23
Colón, H. M., Pérez, C. M., Meléndez, M., Marrero, E., Ortiz, A. P., & Suarez, E. L. (2010) · Addictive Behaviors · doi:10.1016/j.addbeh.2010.02.006 · Cited by 23
Wambeam, R. A., Canen, E. L., Linkenbach, J., & Otto, J. (2013) · Prevention Science · doi:10.1007/s11121-013-0384-8 · Cited by 23
“Furthermore, as the results are based on self-reported data, if students perceived a lack of confidentiality or a sense of reprisal, they may have underreported risky behaviors (Brener et al. 2003).”
Clinical and research utility of Spanish Teen-Addiction Severity Index (T-ASI)
Díaz, R., Castro‐Fornieles, J., Serrano, L., González, L., Calvo, R. M., Goti, J., Kaminer, Y., & Gual, A. (2007) · Addictive Behaviors · doi:10.1016/j.addbeh.2007.06.002 · Cited by 23
Binge drinking in a sample of Scottish undergraduate students
Woolfson, L. M., & Maguire, L. (2010) · Journal of Youth Studies · doi:10.1080/13676261003801804 · Cited by 23
“Reviews have suggested that it is a reliable and valid procedure with adolescents (Babor et al. 2000, Brener et al. 2003), so we decided to replicate Norman and Conner’s self-report methodology.”
MethodSleep duration and risk of physical aggression against peers in urban youth
Street, N. W., McCormick, M. C., Austin, S. B., Slopen, N. B., Habre, R., & Molnar, B. E. (2016) · Sleep Health · doi:10.1016/j.sleh.2016.03.002 · Cited by 24
Psychometric properties of the Prenatal Health Behavior Scale in mid- and late pregnancy
Auerbach, M. V., Nicoloro‐SantaBarbara, J. M., Rosenthal, L., Kocis, C., Weglarz, E. R., Busso, C. E., & Lobel, M. (2017) · Journal of Psychosomatic Obstetrics & Gynecology · doi:10.1080/0167482x.2017.1285899 · Cited by 23
“onstrated validity in a variety of populations [18,19].”
Backgroundvan Doorn, D., Richardson, N., & Osborne, A. (2017) · Journal of Agromedicine · doi:10.1080/1059924x.2017.1318728 · Cited by 23
Forman‐Hoffman, V. L., Glasheen, C., & Batts, K. R. (2017) · Substance Abuse Research and Treatment · doi:10.1177/1178221817711159 · Cited by 24
Exploring non-cognitive predictors of mathematics achievement among 9th grade students
Pipere, A., & Mieriņa, I. (2017) · Learning and Individual Differences · doi:10.1016/j.lindif.2017.09.005 · Cited by 29
Concurrent Use of E-cigarettes, Combustible Cigarettes, and Marijuana
Wills, T. A., Leventhal, A. M., Sargent, J. D., & Pagano, I. (2021) · PEDIATRICS · doi:10.1542/peds.2021-050749 · Cited by 23
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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