Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Social Psychiatry and Psychiatric Epidemiology
Published in: Social Psychiatry and Psychiatric Epidemiology 3/2007

01-03-2007 | ORIGINAL PAPER

Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies

Authors: Rosario Granero Pérez, Lourdes Ezpeleta, José María Domenech

Published in: Social Psychiatry and Psychiatric Epidemiology | Issue 3/2007

Login to get access

Abstract

Objective

To study socio-demographic and functional features related with non-collaboration in a longitudinal design of mental health within a high-risk population of individuals 9 and 13 years old.

Method

Regression analyses were used to assess factors affecting the decision to decline participation, and what characteristics both of children and families increase the probability of dropping out once the study had already started.

Results

Refusal of participation at the outset is more probable for lower socioeconomic groups, unemployed families (or with Social Security benefits), minority cultures and children having low school performance. The risk of participants dropping out is higher for adolescents, those who need help at school, are unhealthy, have more life-events, receive professional help for mental problems or have had more psychopathology in previous assessments. Lengthy interviews or evaluations without the return of reports to families are also predictive of drop out.

Conclusions

This study has practical implications for reducing the lack of collaboration in the prospective studies that assess mental health in children and adolescents. Improvement in the estimation of epidemiological indices requires the planning of special measures for research projects carried out on populations with fewer resources so as to recruit individuals with lower SES, adolescents, individuals with pathologies (physical or psychological) and those with lower levels of school achievement.
Literature
1.
Wolf HK, Kuulasmaa K, Tolonen H, Sans S, Molarius A, Eastwood BJ (2005) Effect of sampling frames on response rates in the WHO MONICA risk factor surveys. Eur J Epidemiol 20:293–299PubMedCrossRef
2.
Ayuso J, Vazquez J, Dowrick C, Lehtinen V, Dalgard O, Casey P, et al. (2001) Depressive disorders in Europe: prevalence figures from the ODIN study. Brit J Psychiatry 179:308–316CrossRef
3.
de Winter AF, Oldehinkel AJ, Veenstra R, Brunnekreef J, Verhulst FC, Ormel J (2005) Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents. Eur J Epidemiol 20:173–181PubMedCrossRef
4.
Van Loon AJ, Tijhuis M, Picavet HS, Surtees PG, Ormel J (2003) Survey non-response in the Netherlands: effects on prevalence estimates and associations. Ann Epidemiol 13:105–110PubMedCrossRef
5.
Gerrits MH, van den Oord EJ, Woogt R (2001) An evaluation of nonresponse bias in peer, self, and teacher ratings of children’s psychosocial adjustment. J Child Psychol Psychiatry 42:593–602PubMedCrossRef
6.
Goldberg M, Chastang JF, Leclerc A, Zins M, Bonenfant S, Bugel I, et al. (2001) Socioeconomic, demographic, occupational, and health factors associated with participation in a long-term epidemiologic survey: a prospective study of the French GAZEL cohort and its target population. Am J Epidemiol 154:373–384PubMedCrossRef
7.
Heath AC, Howells W, Kirk KM, Madden PA, Bucholz KK, Nelson EC, et al. (2001) Predictors of non-response to a questionnaire survey of a volunteer twin panel: findings from the Australian 1989 twin cohort. Official J Int Society for Twin Studies 4:73–80
8.
Lundberg I, Thakker K, Hallström T, Forsell Y (2005) Determinants of non-participation and the effects of non-participation on potential cause-effect relationships, in the PART study on mental disorders. Soc Psychiatry Psychiatric Epidemiol 40:475–483CrossRef
9.
Korkeila K, Suominen S, Ahvenainen J, Ojanlatva A, Rautava P, Helenius H, et al. (2001) Non-response and related factors in a nation-wide health survey. Eur J Epidemiol 17:991–999PubMedCrossRef
10.
Kringlen E, Torgersen S, Cramer V (2001) A Norwegian psychiatric epidemiological study. Am J Psychiatry 158:1091–1098PubMedCrossRef
11.
McConnell P, Bebbington P, McClelland R, Gillespie K, Houghton S (2002) Prevalence of psychiatric disorder and the need for psychiatric care in Northern Ireland. Population study in the district of Derry. Brit J Psychiatry 181:214–219CrossRef
12.
Bijl RV, van Zessen G, Ravelli A, de Rijk C, Langendoen Y (1998) The Netherlands mental health survey and incidence study (NEMESIS): objectives and design. Soc Psychiatry Psychiatric Epidemiol 33:581–586CrossRef
13.
Vink JM, Willemsen G, Stubbe JH, Middeldorp CM, Ligthart RSL, Baas KD, et al. (2004) Estimating non-response bias in family studies: application to mental health and lifestyle. Eur J Epidemiol 19:623–630PubMedCrossRef
14.
Reijneveld SA, Stronks K (1999) The impact of response bias on estimates of health care utilization in a metropolitan area: the use of administrative data. Int J Epidemiol 28:1134–1140PubMedCrossRef
15.
Voigt LF, Koepsell TD, Daling JR (2003) Characteristics of telephone survey respondents according to willingness to participate. Am J Epidemiol 157:66–73PubMedCrossRef
16.
Brogger J, Bakke P, Eide GE, Gulsvik A (2003) Contribution of follow-up of non-responders to prevalence and risk estimates: a Norwegian respiratory health survey. Am J Epidemiol 157:558–566PubMedCrossRef
17.
Hofler M, Pfister H, Lieb R, Wittchen HU (2005) The use of weights to account for non-response and drop-out. Soc Psychiatry Psychiatric Epidemiol 40:291–299CrossRef
18.
Boardman HF, Thomas E, Ogden H, Millson DS, Croft PR (2005) A method to determine if consenters to population surveys are representative of the target study population. J Public Health 27:212–214CrossRef
19.
Little RJ, Vartivarian S (2003) On weighting the rates in non-response weights. Stat Med 15:1589–1599CrossRef
20.
Muth SQ, Potterat JJ, Rothenberg RB (2000) Birds of a feather: using a rotational box plot to assess ascertainment bias. Int J Epidemiol 29:899–904PubMedCrossRef
21.
Edwards P, Roberts I, Clarke M, DiGuiseppi C, Pratap S, Wenz R, et al. (2002) Increasing response rates to postal questionnaires: systematic review. Brit Med J 324:1183–1191PubMedCrossRef
22.
Ezpeleta L, Guillamón N, Granero R, de la Osa N, Doménech JM, Moya I (In press) Prevalence of mental disorders in children and adolescents from a Spanish slum. Social Science & Medicine
23.
de la Osa N, Ezpeleta L, Granero R, Doménech JM (2006) Brief Mental Health Screening Questionnaire for children attending to primary care settings. Manuscript submitted for publication
24.
Reich W (2000) Diagnostic Interview for Children and Adolescents (DICA). J Am Acad Child Adolesc Psychiatry 39:59–66PubMedCrossRef
25.
de la Osa N, Ezpeleta L, Doménech JM, Navarro JB, Losilla JM (1997) Convergent and discriminant validity of the Structured Diagnostic Interview for Children and Adolescents (DICA-R). Psychol Spain 1:37–44
26.
Ezpeleta L, de la Osa N, Doménech JM, Navarro JB, Losilla JM (1997) Fiabilidad test-retest de la adaptación española de la Diagnostic Interview for Children and Adolescents - DICA-R. Psicothema 9:529–539
27.
Ezpeleta L, de la Osa N, Júdez J, Doménech JM, Navarro JB, Losilla JM (1997) Diagnostic agreement between clinician and the Diagnostic Interview for Children and Adolescents––DICA-R in a Spanish outpatient sample. J Child Psychol Psychiatry 38:431–440PubMedCrossRef
28.
American Psychiatric Association (1994) Diagnostic and statistical manual of mental disorders—IV. Author, Washington DC
29.
Piacentini JC, Cohen P, Cohen J (1992) Combining discrepant diagnostic information from multiple sources: are complex algorithms better than simple ones? J Abnorm Child Psychol 20:51–63PubMedCrossRef
30.
Youngstrom EA, Findling RL, Calabrese JR (2003) Who are the comorbid adolescents? Agreement between psychiatric diagnosis, youth, parent and teacher report. J Abnorm Child Psychol 31:231–245PubMedCrossRef
31.
Shaffer D, Gould MS, Brasic J, Ambrosini P, Fisher P, Bird H, et al. (1983) A Children’s Global Assessment Scale (CGAS). Arch Gen Psychiatry 40:1228–1231PubMed
32.
Ezpeleta L, Granero R, de la Osa N (1999) Evaluación del deterioro en niños y adolescentes a través de la Children’s Global Assessment Scale (CGAS). Revista de Psiquiatría Infanto-Juvenil 1:18–26
33.
Achenbach TM, Rescorla LA (2001) Manual for the ASEBA school-age forms & Profiles. University of Vermont - Research Center for Children Youth & Families Burlington VT
34.
Unitat d’Epidemiologia i de Diagnòstic en Psicopatologia del Desenvolupament (1997) Protocolo de Factores de Riesgo. Versión para padres. Universitat Autònoma de Barcelona - Departament de Psicologia de la Salut i de Psicologia Social, Barcelona
35.
Hollingshead AB (1975) Four factor index of social status. Unpublished manuscript—Yale University Department of Sociology, New Haven CT
36.
Kotaniemi JT, Hassi J, Kataja M, Jonsson E, Laitinen LA, Sovijarvi AR, et al. (2001) Does non-responder bias have a significant effect on the results in a postal questionnaire study? Eur J Epidemiol 17:809–817PubMedCrossRef
37.
Angold A, Costello EJ, Messer SC, Pickles A, Winder F, Silver D (1995) The development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. Int J Methods Psychiatric Res 5:237–249
38.
Goodman R (1997) The strengths and difficulties questionnaire: A research note. J Child Psychol Psychiatry 38:581–586PubMedCrossRef
Metadata
Title
Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies
Authors
Rosario Granero Pérez
Lourdes Ezpeleta
José María Domenech
Publication date
01-03-2007
Publisher
Steinkopff-Verlag
Published in
Social Psychiatry and Psychiatric Epidemiology / Issue 3/2007
Print ISSN: 0933-7954
Electronic ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-006-0155-y

Other articles of this Issue 3/2007

Social Psychiatry and Psychiatric Epidemiology 3/2007 Go to the issue

ORIGINAL PAPER

Assessing morale in community mental health professionals

ORIGINAL PAPER

Risk factors for suicide in the immediate post-discharge period

ORIGINAL PAPER

Does the level of expressed emotion (LEE) questionnaire have the same factor structure for adolescents as it has for adults?

ORIGINAL PAPER

Gender differences in depressive symptoms among older adults: a cross-national comparison

ORIGINAL PAPER

Antidepressant utilization in primary care in a Spanish region

ORIGINAL PAPER

Major depression in Chinese Americans