Cited by 1,331Adolescent Health and BehaviorsAdolescent Sexual and Reproductive HealthSubstance Abuse Treatment and Outcomes

The DOI matches its Crossref record; 105 of the 108 references it cites were found in a registry or an index.

Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature

Brener, Nancy D, Billy, John O.G, Grady, William R·2003·Journal of Adolescent Health

DOI 10.1016/s1054-139x(03)00052-1

Open this paper in CoChat — free account

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/s1054-139x(03)00052-1

Cites

105 of 105 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Assessment of physical activity by self-report: Status, limitations, and future directions
Sallis, J. F., & Saelens, B. E. (2000) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2000.11082780 · Cited by 2,351
Adolescent Sexual Behavior, Drug Use, and Violence: Increased Reporting with Computer Survey Technology
Turner, C. F., Ku, L. C., Rogers, S., Lindberg, L., Pleck, J. H., & Sonenstein, F. L. (1998) · Science · doi:10.1126/science.280.5365.867 · Cited by 2,048
The validity of self-reported smoking: a review and meta-analysis.
Patrick, D. L., Cheadle, A. D., Thompson, D. C., Diehr, P. H., Koepsell, T. D., & Kinne, S. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.7.1086 · Cited by 1,737
Reliability of the 1999 youth risk behavior survey questionnaire
BRENER, N., KANN, L., MCMANUS, T., KINCHEN, S., SUNDBERG, E., & ROSS, J. (2002) · Journal of Adolescent Health · doi:10.1016/s1054-139x(02)00339-7 · Cited by 1,101
Self-citation
Methodological problems in AIDS behavioral research: Influences on measurement error and participation bias in studies of sexual behavior.
Catania, J. A., Gibson, D. R., Chitwood, D. D., & Coates, T. J. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.339 · Cited by 1,098
A method to assess energy expenditure in children and adults.
Bouchard, C., Tremblay, A., Leblanc, C., Lortie, G., Savard, R., & Thériault, G. (1983) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/37.3.461 · Cited by 924
Seven-day recall and other physical activity self-reports in children and adolescents
Sallis, J. F., Buono, M. J., Roby, J. J., Micale, F. G., & Nelson, J. A. E. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00014 · Cited by 778
Measurement Errors in Surveys.
Vogel, F. A., Biemer, P. P., Groves, R. M., Lyberg, L. E., Mathiowetz, N. A., & Sudman, S. (1992) · Journal of the American Statistical Association · doi:10.2307/2290676 · Cited by 697
Validation of a Youth/Adolescent Food Frequency Questionnaire
Rockett, H. R. H., Breitenbach, M., Frazier, A. L., Witschi, J. C., Wolf, A., Field, A. E., & Colditz, G. A. (1997) · Preventive Medicine · doi:10.1006/pmed.1997.0200 · Cited by 692

Show all 108 references

Research works printed but not linked: 4

Shillington, 2000, Self-report stability of adolescent substance use, Drug Alcohol Depend, 60, 19, 10.1016/S0376-8716(99)00137-4 · DOI
Poulin, 1993, The validity of a province-wide student drug survey, Can J Public Health, 84, 259
Janz, 1992, Heart rate monitoring of physical activity in children and adolescents, Pediatrics, 89, 256
Murphy, 1990, The validity of children’s self-reports of physical activity, J Hum Hypertens, 4, 130

Sorted by citations

Items 701–800 of 1,000

Nonmedical Use of Prescription Opioids and Injury Risk Among Youth
Pulver, A., Davison, C., Parpia, A. S., Purkey, E., & Pickett, W. (2016) · Journal of Child & Adolescent Substance Abuse · doi:10.1080/1067828x.2015.1115795 · Cited by 12
Racial and Ethnic Differences in the Relationship Between School Climate and Disorder
Bryson, S. L., & Childs, K. K. (2018) · School Psychology Review · doi:10.17105/spr-2018-0016.v47-3 · Cited by 12
Problematic alcohol use and depression in secondary school students in Miri, Malaysia
Chhoa, K. H., ZAKARIA, R. H., & Rahman, F. N. A. (2019) · Pediatrics International · doi:10.1111/ped.13789 · Cited by 12
Consistency of Adolescents’ Self-Report of Gambling Age of Onset: A Longitudinal Study
Dussault, F., Dufour, M., Brunelle, N., Tremblay, J., Rousseau, M., Leclerc, D., Cousineau, M., & Berbiche, D. (2019) · Journal of Gambling Studies · doi:10.1007/s10899-019-09834-3 · Cited by 12
Pornography and Sexual Assault
Bridges, A. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-23645-8_8 · Cited by 12
Preschool Teachers’ Perspectives on Using English Language to Teach
Goh, P. S. C. (2019) · GEMA Online Journal of Language Studies · doi:10.17576/gema-2019-1904-18 · Cited by 12
Risking Your Health: Causes, Consequences, and Interventions to Prevent Risky Behaviors
de Walque (2013) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-9906-4 · Cited by 14
Effectiveness of a brief school-based intervention on depression, anxiety, hyperactivity, and delinquency: a cluster randomized controlled trial
Goossens, F. X., Lammers, J., Onrust, S. A., Conrod, P., de Castro, B. O., & Monshouwer, K. (2015) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-015-0781-6 · Cited by 12
Perceived smoking prevalence at school-level and children's smoking initiation: A multi-level analysis of a cross-sectional data in Taiwan
Huang, H., Hsu, C., Magnus, J. H., Chen, F., Rice, J. C., Lee, C., Yen, Y., & Chen, T. (2007) · Health Policy · doi:10.1016/j.healthpol.2007.10.012 · Cited by 12
The role of psychosocial, behavioural and emotional factors on self-reported major injuries in Brazilian adolescents: A case-control study
Pattussi, M. P., Lalloo, R., Bassani, D. G., & Olinto, M. T. A. (2008) · Injury · doi:10.1016/j.injury.2007.11.013 · Cited by 12
“Self-reports of different types are also affected by cognitive and situational factors in varying degrees.(10) Therefore the control of information bias is beyond the control of the researcher.”
Background
Changes in Substance Use-Related Health Risk Behaviors on the Timeline Follow-Back Interview as a Function of Length of Recall Period
Buu, A., Li, R., Walton, M. A., Yang, H., Zimmerman, M. A., & Cunningham, R. M. (2014) · Substance Use & Misuse · doi:10.3109/10826084.2014.891621 · Cited by 12
“These risk behaviors tend to have different levels of sensitivity and frequency from alcohol use (Brener et al., 2003; Tourangeau et al., 2007) so the TLFB technique may work differently for them.”
Method
“Developing Holistic Nursing Interventions to Improve Adolescent Health”
Rew, L., Johnson, R. J., Jenkins, S. K., & Torres, R. (2004) · Journal of Holistic Nursing · doi:10.1177/0898010104269263 · Cited by 12
Psychosocial determinants of clustering health-compromising behaviors among Saudi male adolescents
Alzahrani, S. G., Sheiham, A., Tsakos, G., & Watt, R. G. (2017) · International Journal of Pediatrics and Adolescent Medicine · doi:10.1016/j.ijpam.2016.11.002 · Cited by 12
“However, previous research showed that confidentiality and anonymity of self-reports reduced biases and provided reliable and valid data [75].”
Background
Perceived burdensomeness and thwarted belongingness influence the childhood polyvictimization and suicide ideation association among Hispanic undergraduates
Hsieh, C., Charak, R., Cano-González, I., Gonzalez, L., Roley‐Roberts, M. E., & Hovey, J. D. (2020) · Death Studies · doi:10.1080/07481187.2020.1846227 · Cited by 11
“Second, the selfreported questionnaires contained sensitive information about suicidal behavior, childhood victimization experiences, and negative psychological outcomes, which may cause some distress (Brener et al., 2003).”
Background
Diabetes and the social, biologic, and behavioral determinants of endometrial cancer in the United States
Massouh, N., Jaffa, A. A., & Jaffa, M. A. (2024) · BMC Cancer · doi:10.1186/s12885-024-12192-y · Cited by 11
Self-reported sexual behaviour among adolescent girls in Uganda: reliability of data debated.
Råssjö, E.-B., Mirembe, F. M., & Darj, E. (2011) · PubMed Central · Cited by 11
Perception of Time Since Smoking Cessation: Time in Memory Can Elapse Faster
Soulakova, J. N., & Bright, B. C. (2015) · Journal of Addictive Behaviors Therapy & Rehabilitation · doi:10.4172/2324-9005.1000145 · Cited by 11
“Social and behavioral research studies commonly rely on retrospective self-reports when assessing smoking and other health risk behaviors [1-6].”
Background
Do Decision-Making Styles Help Explain Health-Risk Behavior among University Students in Addition to Personality Factors?
Bavoľár, J., & Bačíková-Slešková, M. (2018) · Studia Psychologica · doi:10.21909/sp.2018.02.753 · Cited by 12
Sex Differences in Responses to Emotional and Sexual Infidelity in Dating Relationships
Walsh, M., Millar, M. G., & Westfall, R. S. (2018) · Journal of Individual Differences · doi:10.1027/1614-0001/a000277 · Cited by 13
The prevalence and correlates of tobacco use among 7-9th grade students in Bangladesh
Khan, J. R., Raheem, E., & Daniel, M. (2019) · Children and Youth Services Review · doi:10.1016/j.childyouth.2019.104406 · Cited by 11
Marijuana use and intentions among American Indian adolescents: Perceived risks, benefits, and peer use.
Nalven, T., Schick, M. R., Spillane, N. S., & Quaresma, S. L. (2021) · Psychology of Addictive Behaviors · doi:10.1037/adb0000661 · Cited by 11
Telling truth from Ys: an evaluation of whether the accuracy of self-reported semen exposure assessed by a semen Y-chromosome biomarker predicts pregnancy in a longitudinal cohort study of pregnancy
Rosenbaum, J. E., Zenilman, J. M., Melendez, J. H., Rose, E., Wingood, G. M., & DiClemente, R. J. (2014) · Sexually Transmitted Infections · doi:10.1136/sextrans-2013-051315 · Cited by 11
“Survey research in adolescent populations is also subject to reporting validity issues because adolescents may give inaccurate responses on surveys, especially for sensitive topics such as sexual behaviour (2).”
Methods for Conducting Community Guide Systematic Reviews of Evidence on Effectiveness and Economic Efficiency of Group-Based Behavioral Interventions to Prevent Adolescent Pregnancy, Human Immunodeficiency Virus, and Other Sexually Transmitted Infections
Sipe, T. A., Chin, H. B., Elder, R. W., Mercer, S. L., Chattopadhyay, S. K., & Jacob, V. (2012) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.11.002 · Cited by 11
The perceived impact of interprofessional information sharing on young people about their sexual healthcare
Hyde, A., Fullerton, D. A., Lohan, M., McKeown, C., Dunne, L., Macdonald, G. M., Howlin, F., & Healy, M. (2016) · Journal of Interprofessional Care · doi:10.3109/13561820.2016.1154022 · Cited by 11
Putting Adolescents at Risk: Riding With Drinking Drivers Who Are Adults in the Home
Harris, S. K., Johnson, J. K., Sherritt, L., Copelas, S., Rappo, M. A., & Wilson, C. R. (2016) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2017.78.146 · Cited by 11
“However, study participants self-administered the items on a laptop computer in a private space, and prior studies have shown that computer self-administration is associated with higher adolescent disclosure of sensitive behaviors (Brener et al., 2003).”
Background
Adolescents’ perceptions of tobacco accessibility and smoking norms and attitudes in response to the tobacco point-of-sale display ban in Scotland: results from the DISPLAY Study
Kuipers, M. A. G., Best, C. S., Wilson, M., Currie, D. B., Özakinci, G., MacKintosh, A. M., Stead, M., Eadie, D. R., MacGregor, A., Pearce, J. R., et al. (2019) · Tobacco Control · doi:10.1136/tobaccocontrol-2018-054702 · Cited by 11
“24 25 Nevertheless, because we measured changes in smoking norms and attitudes, there is a risk of desirability bias in young people’s responses.”
Oral health knowledge, attitude and practice among adolescents in Kuwait
Abdulrahim, M., AlKandari, M., Alomari, Q. D., & Baskaradoss, J. K. (2020) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2020-0154 · Cited by 11
Prevalence and correlates of HIV risk among adolescents and young adults reporting drug use: Data from an urban emergency department in the United States
Bonar, E. E., Whiteside, L., Walton, M. A., Zimmerman, M. A., Booth, B. M., Blow, F. C., & Cunningham, R. M. (2016) · Journal of HIV/AIDS & Social Services · doi:10.1080/15381501.2013.775685 · Cited by 11
“…subject to the limitations of self-report, although prior research supports the reliability and validity of data reported by youth using computers (Brener et al., 2002, 2003; Buchan et al., 2002; Dennis et al., 2002; Harrison et al., 2007; Thornberry & Krohn, 2000; Turner et al., 1998; Webb et…”
Result
A study of TH01 and IGF2-INS-TH haplotypes in relation to smoking initiation in three independent surveys
Rodrı́guez, S., Huang, S., Chen, X., Gaunt, T. R., Syddall, H. E., Gilg, J. A., Miller, G. J., Cooper, C. C., Cook, D. G., Whincup, P. H., et al. (2006) · Pharmacogenetics and Genomics · doi:10.1097/01.fpc.0000178314.48619.5f · Cited by 11
Computer-Facilitated Screening and Brief Advice to Reduce Adolescents' Heavy Episodic Drinking: A Study in Two Countries
Knight, J. R., Kuzubova, K., Csémy, L., Sherritt, L., Copelas, S., & Harris, S. K. (2017) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.08.013 · Cited by 11
Development of an inventory for Alternative Conceptions among students in chemistry
Eggen, P.-O., Persson, J. R., Jacobsen, E. E., & Hafskjold, B. (2017) · LUMAT International Journal on Math Science and Technology Education · doi:10.31129/lumat.5.1.115 · Cited by 11
Appropriateness of malaria diagnosis and treatment for fever episodes according to patient history and anti-malarial blood measurement: a cross-sectional survey from Tanzania
Gallay, J., Mosha, D., Lutahakana, E., Mazuguni, F. S., Zuakulu, M., Decosterd, L. A., Genton, B., & Pothin, E. (2018) · Malaria Journal · doi:10.1186/s12936-018-2357-7 · Cited by 11
“Although it has been shown that history validity can be improved [34], new technology platforms such as LC–MS/MS performed on DBS samples allow to move from subjective to objective and reproducible data.”
Do Information Technologies Improve Teenagers’ Sexual Education? Evidence from a Randomized Evaluation in Colombia
Chong, A. E., Gonzalez-Navarro, M., Karlan, D., & Valdivia, M. (2013) · National Bureau of Economic Research · doi:10.3386/w18776 · Cited by 11
Secondary Prevention of Diabetic Foot Infections in a Caribbean Nation
Islam, S., Harnarayan, P., Cawich, S. O., Mahabir, V., Budhooram, S., Bheem, V., Ramsewak, S., & Naraynsingh, V. (2013) · The International Journal of Lower Extremity Wounds · doi:10.1177/1534734613486151 · Cited by 10
“In these types of questionnaire surveys, many participants may overreport their compliance with what they perceive to be “ideal” responses.(15) There was also a long delay for patients to seek medical attention, despite the injury being recognized.”
Background
Patterns of Partner and Nonpartner Violence Among High-Risk Youth
Heinze, J. E., Carter, P. M., Ngo, Q., Zimmerman, M. A., Walton, M. A., & Cunningham, R. M. (2018) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.11.304 · Cited by 10
“Yet, researchers have found that selfreported violent behavior is reliable and valid when privacy/ confidentiality is ensured and when using self-administered computerized assessments [39,40].”
Hepatitis B virus infections among health professional students in Mwanza city,Tanzania in 2016
Mirambo, M. M., Mkumbo, E., Selega, H., Msemwa, B., Mushi, M. F., Silago, V., Seni, J., Mshana, S. E., & Kasang, C. (2020) · Archives of Public Health · doi:10.1186/s13690-020-00459-2 · Cited by 10
Comparability of estimates and trends in adolescent sexual and contraceptive behaviors from two national surveys: National Survey of Family Growth and the Youth Risk Behavior Survey
Lindberg, L., Scott, R. H., Desai, S., & Pleasure, Z. H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253262 · Cited by 10
Moderating Effects of Positive Parenting on the Perceived Peer Alcohol Use and Adolescent Alcohol Use Relationship: Racial, Ethnic, and Gender Differences
Bo, A., Zhang, L., Lu, W., & Chen, D. (2021) · Child and Adolescent Social Work Journal · doi:10.1007/s10560-021-00780-x · Cited by 10
Fruit and vegetable consumption and sports participation among UK Youth
McAloney‐Kocaman, K., Graham, H. M., Law, C., Platt, L., Wardle, H., & Hall, J. (2013) · International Journal of Public Health · doi:10.1007/s00038-013-0523-9 · Cited by 10
“…relies on single item measures that lack independent verification, for example, by nutrient analysis of food consumed and by the use of physical activity monitors; however, self-administered questions are generally found to be as reliable as interviewer-administered questions (Brener et al. 2003).”
Background
Unravelling the quality of HIV counselling and testing services in the private and public sectors in Zambia
Levey, I. R., & Wang, W. (2014) · Health Policy and Planning · doi:10.1093/heapol/czt036 · Cited by 10
“Although there is evidence of self-report bias in the literature in terms of intention to change behaviour (Brener et al. 2003), we see wide variance in levels of self-reported intention to change.”
Background
The relationship between social influences and adolescents’ substance use-related cognitions
Dastgerdi, Z. F., & Eslami, A. A. (2018) · Journal of Substance Use · doi:10.1080/14659891.2017.1394377 · Cited by 10
“However, studies and literature reviews suggest that selfreport data is often valid and reliable among both adult and adolescent populations (Babor, Steinberg, Anton, & Del Boca, 2000; Brener & Grady, 2003) (Babor, Steinberg, Del Boca, & Anton, 2000; Brener, Billy, & Grady, 2003).”
Background
Among adolescents, addiction susceptibility and sleep-related dysfunction have a common cognitive-emotional base and predict poor sleep quantity
Khazaie, H., Behrouz, B., Chehri, A., Gerber, M., Holsboer‐Trachsler, E., Bahmani, D. S., & Brand, S. (2019) · Journal of Substance Use · doi:10.1080/14659891.2019.1588405 · Cited by 10
Changes in the Order of Cigarette and Marijuana Initiation and Associations with Cigarette Use, Nicotine Vaping, and Marijuana Use: U.S. 12th Grade Students, 2000–2019
Terry‐McElrath, Y. M., O’Malley, P. M., & Johnston, L. D. (2020) · Prevention Science · doi:10.1007/s11121-020-01150-2 · Cited by 10
Cardiovascular health behaviours of young adolescents: Results from the global school‐based student health survey
Qi, W., Zhou, Y., You, D., Liu, J., Li, L., Xu, G., Hu, J., Wang, S., Xu, L., Yang, D., et al. (2021) · Journal of Paediatrics and Child Health · doi:10.1111/jpc.15268 · Cited by 10
Trends in Obesity and Obesity-Related Risk Factors among Adolescents in Korea from 2009 to 2019
Park, E., & Ko, Y. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095672 · Cited by 10
“Previous studies found that adolescents’ self-reports on health behaviors such as diet and physical activity were affected by cognitive and situational factors, but not to the extent of threatening the validity [43].”
Result
Risk factors for injury in community-level football: a cohort study
Chalmers, D. J., Samaranayaka, A., & McNoe, B. (2012) · International Journal of Injury Control and Safety Promotion · doi:10.1080/17457300.2012.674044 · Cited by 10
Alcohol and High-Risk Behavior Among Young First-Time Offenders
Sise, C. B., Sack, D. I., Sise, M. J., Riccoboni, S. T., Osler, T. M., Swanson, S. M., & Martinez, M. D. (2009) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e3181b19282 · Cited by 10
Residential Mobility and Trajectories of Adiposity among Adolescents in Urban and Non-urban Neighborhoods
Jones, A. (2015) · Journal of Urban Health · doi:10.1007/s11524-015-9952-5 · Cited by 10
The Need for Biological Outcomes to Complement Self-Report in Adolescent Research
Brown, J. L., & DiClemente, R. J. (2015) · PEDIATRICS · doi:10.1542/peds.2015-0239 · Cited by 10
Perception, intention and attempts to quit smoking among Jordanian adolescents from the Irbid Longitudinal Study
Jaber, R., Taleb, Z. B., Bahelah, R. A., Madhivanan, P., & Maziak, W. (2016) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.16.0367 · Cited by 10
The impact of multiple interventions to reduce household exposure to second-hand tobacco smoke among women: a cluster randomized controlled trial in Kalutara district, Sri Lanka
Alagiyawanna, A. M. A. A. P., Rajapaksa-Hewageegana, N., & Gunawardena, N. S. (2017) · BMC Public Health · doi:10.1186/s12889-017-4820-8 · Cited by 10
“The responders of the intervention group may have inclined to give what they perceive as socially acceptable answers, as they have been recently (within 6 months) involved in the multiple activities of the project [59, 60].”
Background
The harmonizing effect of Smart Snacks on the association between state snack laws and high school students' fruit and vegetable consumption, United States—2005–2017
Chriqui, J. F., Lin, W., Leider, J., Shang, C., & Perna, F. M. (2020) · Preventive Medicine · doi:10.1016/j.ypmed.2020.106093 · Cited by 10
Understanding Factors That Influence Fear of Drowning in Children and Adolescents
Irwin, C. C., Pharr, J. R., & Irwin, R. L. (2015) · International Journal of Aquatic Research and Education · doi:10.25035/ijare.09.02.05 · Cited by 10
Factores asociados a síntomas depresivos con importancia clínica en estudiantes de Cartagena, Colombia: un análisis diferencial por sexo
Campo‐Arias, A., Díaz, C. E., & Cogollo, Z. (2006) · Revista Colombiana de Psiquiatría · Cited by 10
Changes in adolescents’ oral health-related knowledge, attitudes and behavior in response to extensive health promotion
Tolvanen, M. (2011) · Cited by 10
The association of amygdala-insula functional connectivity and adolescent e-cigarette use via sleep problems and depressive symptoms
Sutherland, B. D., Perez, P. M. V., Crooks, K. E., Flannery, J. S., Hill-Bowen, L. D., Riedel, M., Laird, A., Trucco, E., & Sutherland, M. (2022) · Addictive Behaviours · doi:10.1016/j.addbeh.2022.107458 · Cited by 9
The impact of COVID-19 pandemic on food habits and neophobia in children in the framework of the family context and parents’ behaviors: A study in an Italian central region
Nucci, A. D., Scognamiglio, U., Grant, F., & Rossi, L. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1070388 · Cited by 9
Assessing the self-reported honesty threshold in adolescent epidemiological research: comparing supervised machine learning and inferential statistical techniques
Kosgolla, J. V., Smith, D. C., Begum, S., & Reinhart, C. A. (2023) · BMC Medical Research Methodology · doi:10.1186/s12874-023-02035-y · Cited by 9
Understanding the pathways between the use of urban green spaces and self-rated health: A case study in Mexico City
Huerta, C. M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0295013 · Cited by 11
Prevalence and correlates of sexual violence against adolescents: Quantitative evidence from rural and urban communities in South-West Nigeria
Abreu, L., Hecker, T., Goessmann, K., Abioye, T. O., Olorunlambe, W., & Hoeffler, A. (2025) · PLOS Global Public Health · doi:10.1371/journal.pgph.0004223 · Cited by 9
Body weight and physical activity of adolescents in Malaysia
Tan, A. K. G., Yen, S. T., Fang, X., & Chiang, F. (2018) · International Health · doi:10.1093/inthealth/ihy072 · Cited by 11
Long-term benefits of providing transitional services to youth aging-out of the child welfare system: Evidence from a cohort of young people who use drugs in Vancouver, Canada
Barker, B., Shoveller, J., Grant, C. C., Kerr, T. H., & DeBeck, K. (2020) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2020.102912 · Cited by 10
Gendered Analysis of Cyberbullying Victimization and Its Associations with Suicidality: Findings from the 2019 Youth Risk Behavior Survey
Levine, R. S., Bintliff, A. V., & Raj, A. (2022) · Adolescents · doi:10.3390/adolescents2020019 · Cited by 9
Directly Measured and Self-Reported Physical Activity in a Sample of Finnish Secondary School Students
Gråstén, A., Watt, A. P., Jaakkola, T. T., & Liukkonen, J. (2012) · Advances in Physical Education · doi:10.4236/ape.2012.23023 · Cited by 9
“Adolescents may purposely under-report or over-report health and well-being behaviors including PA, because they believe engaging in these behaviors is socially undesirable or desirable (Brener, Billy, & Grady, 2003).”
The Development and Psychometric Assessment of the Adolescent Sexual Coercion Risk Scale
Bramsen, R. H., Lasgaard, M., Elklit, A., & Koss, M. P. (2010) · Journal of Interpersonal Violence · doi:10.1177/0886260510370598 · Cited by 9
Reassessing the Effects of Early Adolescent Alcohol Use on Later Antisocial Behavior
Hemphill, S. A., Heerde, J. A., Scholes‐Balog, K. E., Smith, R., Herrenkohl, T. I., Toumbourou, J. W., & Catalano, R. F. (2013) · The Journal of Early Adolescence · doi:10.1177/0272431613491830 · Cited by 9
Pathways Underlying Somatic Complaints in Children and Adolescents Who Are Deaf or Hard of Hearing
Kouwenberg, M., Rieffe, C. J., Theunissen, S. C. P. M., & Oosterveld, P. (2011) · The Journal of Deaf Studies and Deaf Education · doi:10.1093/deafed/enr050 · Cited by 9
Effects of School-Based Physical Activity Program on Students’ Moderate-to-Vigorous Physical Activity and Perceptions of Physical Competence
Gråstén, A., Watt, A. P., Liukkonen, J., & Jaakkola, T. T. (2017) · Journal of Physical Activity and Health · doi:10.1123/jpah.2016-0244 · Cited by 9
Inconsistent reports of risk behavior among Brazilian middle school students: National School Based Survey of Adolescent Health (PeNSE 2009/2012)
Ramos, D. D. O., Daly, M., de Moura, M. L. S., Jomar, R. T., & Nadanovsky, P. (2017) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00145815 · Cited by 9
Simultaneidade de comportamentos de risco à saúde bucal em adolescentes: evidência da Pesquisa Nacional de Saúde do Escolar
Jordão, L. M. R., Malta, D. C., & Freire, M. D. C. M. (2018) · Revista Brasileira de Epidemiologia · doi:10.1590/1980-549720180019.supl.1 · Cited by 9
Web-Based Eligibility Quizzes to Verify Opioid Use and County Residence Among Rural Young Adults: Eligibility Screening Results from a Feasibility Study
Ballard, A. M., Cooper, H. L. F., & Young, A. M. (2019) · JMIR Research Protocols · doi:10.2196/12984 · Cited by 9
Parents’ perspective on their responsibilities with regard to adolescents’ use of alcohol
Mynttinen, M. A., Pietilä, A., & Kangasniemi, M. K. (2019) · Scandinavian Journal of Caring Sciences · doi:10.1111/scs.12799 · Cited by 9
Do subjective and objective resilience measures assess unique aspects and what is their relationship to adolescent well‐being?
Sigley‐Taylor, P., Chin, T., & Vella‐Brodrick, D. (2021) · Psychology in the Schools · doi:10.1002/pits.22517 · Cited by 9
A critical analysis of the MOBI-Kids study of wireless phone use in childhood and adolescence and brain tumor risk
Hardell, L., & Moskowitz, J. M. (2022) · Reviews on Environmental Health · doi:10.1515/reveh-2022-0040 · Cited by 9
Risk and Protective Factors Associated with Suicidal Thoughts and Behaviors Among Maryland Middle School Students
Flores, J. P., Stuart, E. A., Swartz, K., Jallah, N., & Wilcox, H. C. (2022) · School Mental Health · doi:10.1007/s12310-022-09521-6 · Cited by 12
“YRBS survey tools are typically wellvalidated (Brener et al., 2003) and the current survey and associated analysis covered a breadth of domains that could contribute to STB.”
Background
Inconsistencies in Adolescent Self-Reported Sexual Behavior: Experience from Four Randomized Controlled Trials
Glassman, J. R., Baumler, E. R., & Coyle, K. K. (2022) · Prevention Science · doi:10.1007/s11121-022-01438-5 · Cited by 9
“Self-report measures of adolescent health risk behaviors are essential for public health surveillance, intervention and policy development, and evaluating program effectiveness (McFarlane & St. Lawrence, 1999; Upchurch et al., 2002; Brener et al., 2003; McAuliffe et al., 2007; Palen et al., 2008; Rose et al., 2009; Ha…”
Background
Gender Issues in Psychological Testing of Personality and Abilities
Baker, N. L., & Mason, J. L. (2009) · Springer eBooks · doi:10.1007/978-1-4419-1467-5_4 · Cited by 9
“Defensiveness, exaggeration, and other forms of non-cooperation are all subject to the influence of the testing situation ( Brener, Billy, & Grady, 2003 ).”
Background
Trends in Inequalities in the Use of Condom by Urban Teenagers in Spain
Álvarez-Bruned, L., Continente, X., Gotsens, M., Pérez, A., & Pérez, G. (2015) · Journal of Urban Health · doi:10.1007/s11524-015-9985-9 · Cited by 9
“Sixth, responses to questionnaires on sexual behavior are often incomplete or false because of social desirability or embarrassment.(53,54) However, these questionnaires are anonymized, self-reported, and administered online and on paper, which likely minimizes potential biases.”
Background
The association between cannabis and alcohol use and the development of mental disorder
Byrne, P., Jones, S., & Williams, R. L. (2004) · Current Opinion in Psychiatry · doi:10.1097/01.yco.0000133827.11672.42 · Cited by 9
Examining price promotions, venue and place of residence as predictors of alcohol consumption
Raciti, M., O’Hara, R. L., Sharma, B., Reinhard, K., & Davies, F. (2013) · Journal of Social Marketing · doi:10.1108/20426761311297207 · Cited by 9
Helmet Use and Self-Reported Risk Taking in Skiing and Snowboarding
Bianchi, G., Brügger, O., Niemann, S., & Cavegn, M. (2010) · Journal of ASTM International · doi:10.1520/jai102811 · Cited by 9
US Cultural Involvement and Its Association With Suicidal Behavior Among Youths in the Dominican Republic
Peña, J. B., Zayas, L. H., Cabrera-Nguyen, P., & Vega, W. A. (2011) · American Journal of Public Health · doi:10.2105/ajph.2011.300344 · Cited by 9
“Our study used self-reported measures that may not be accurate despite previous research suggesting that such items have produced valid responses.(61,62) Although youths attending public school in the Dominican Republic represent a significant proportion of the overall adolescent population, results from this study ma…”
Result
This Ad is for You: Targeting and the Effect of Alcohol Advertising on Youth Drinking
Molloy, E. (2015) · Health Economics · doi:10.1002/hec.3126 · Cited by 9
Resiliency in adolescent college students
Ahern, N. R. (2007) · Journal of International Crisis and Risk Communication Research · Cited by 9
Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis
Terry‐McElrath, Y. M., O’Malley, P. M., & Johnston, L. D. (2017) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntx074 · Cited by 9
Predicting Adolescent Electronic Cigarette Use: Differences by Never, Ever, and Current Users
Enlow, P. T., Williford, D. N., Romm, K. F., Dino, G., Blank, M. D., Murray, P. J., Banvard-Fox, C., & Duncan, C. L. (2021) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsab082 · Cited by 9
Kinder und Jugendliche: Die Gesundheit der heranwachsenden Generation
Richter, M., Bohn, V., & Lampert, T. (2011) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-531-92790-9_27 · Cited by 9
Influences of Fertility Status on Risky Driving Behaviour
Biassoni, F., Iannello, P., Antonietti, A., & Ciceri, M. R. (2016) · Applied Cognitive Psychology · doi:10.1002/acp.3283 · Cited by 18
Sleep Behaviors of Infants and Young Children
Duzinski, S. V., Yuma, P., Fung, A., Brown, J. M., Wheeler, T. C., Barczyk, A. N., & Lawson, K. A. (2013) · Journal of Trauma Nursing · doi:10.1097/jtn.0000000000000011 · Cited by 9
Sexual risky behaviour among Slovak adolescents and young adults: social and psychological factors
Kalina, O. (2012) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 9
The Association Between Depression and Substance Use Among Primary Care Patients With Comorbid Medical and Behavioral Health Conditions
McGovern, M. P., Dunn, J. A., Bonnell, L. N., Leibowitz, G. S., Waddell, E. N., Rose, G. L., & Littenberg, B. (2023) · Journal of Primary Care & Community Health · doi:10.1177/21501319231200302 · Cited by 8
“52,53”
Longitudinal effects of academic stress on life satisfaction in Chinese adolescents: A moderated mediation model
Liu, X., Zhang, Y., Ran, F., Zeng, J., & Liu, Y. (2025) · Children and Youth Services Review · doi:10.1016/j.childyouth.2025.108663 · Cited by 8
Conduct problems and sexting: Gender differences
Mariamo, A., Martin‐Storey, A., Déry, M., Tomasiello, M., & Temcheff, C. E. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108152 · Cited by 9
A Study of Smoking Disparity and Factors Associated With Children Smoking Behavior in the Mountain and City Schools in Taiwan
Huang, H., Chen, T., Chen, F., Magnus, J. H., Rice, J. C., Yen, Y., & Hsu, C. (2009) · Journal of School Health · doi:10.1111/j.1746-1561.2008.00378.x · Cited by 8
How accurate is our misinformation? A randomized comparison of four survey interview methods to measure risk behavior among young adults in the Dominican Republic
Vivo, S., McCoy, S. I., López-Peña, P., Muñoz, R., Larrieu, M. I., & Celhay, P. (2016) · Development Engineering · doi:10.1016/j.deveng.2016.06.002 · Cited by 8
“…bias, and to discuss the extent to which these errors might be related to level of privacy or interviewer’s gender, as previous studies have suggested (Langhaug et al., 2011; Tourangeau and Smith, 1998; Brener et al., 2003; Gribble and Miller, 2000; Sedla, 2010; Lothen-Kline et al., 2003).”
BackgroundResult
Looking back in order to predict the future: Relative resource assessments and their relationship to future expectations
Einarsdóttir, G., Hansla, A., & Johansson, L. (2018) · Nordic Psychology · doi:10.1080/19012276.2018.1457452 · Cited by 9
The Impact of Teacher Characteristics on Educational Differentiation Practices in Lower Secondary Mathematics Instruction
Ekstam, U., Linnanmäki, K., & Pirjo Aunio, A. (2017) · LUMAT International Journal on Math Science and Technology Education · doi:10.31129/lumat.5.1.253 · Cited by 8
Predictors and Consequences of Pediatric Pain Symptom Trajectories: A 14-Year Longitudinal Study
Mun, C. J., Lemery‐Chalfant, K., Wilson, M. N., & Shaw, D. S. (2021) · Pain Medicine · doi:10.1093/pm/pnab173 · Cited by 8
“Fifth, the assessment of substance use in the present study was based upon self-report, which is generally regarded as a reliable and valid method to measure adolescent substance use [53].”
Method
The Health Behaviour of German Outpatient Caregivers in Relation to the COVID-19 Pandemic: A Mixed-Methods Study
Mojtahedzadeh, N., Neumann, F. A., Rohwer, E., Nienhaus, A., Augustin, M., Harth, V., Zyriax, B., & Mache, S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18158213 · Cited by 8
“After all, self-assessments of health behaviour are not subject to objectivity and may additionally be distorted by social desirability [169].”
Background
Trends in the sequence of initiation of alcohol, tobacco, and marijuana use among adolescents in Argentina and Chile from 2001 to 2017
Schleimer, J. P., Smith, N., Zaninovic, V., Keyes, K. M., Castillo‐Carniglia, Á., Rivera‐Aguirre, A., & Cerdá, M. (2021) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2021.103494 · Cited by 9

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)
DOI: 10.1016/s1054-139x(03)00052-1
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
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks