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

Open Access 01-12-2018 | Study protocol

A school-based interdisciplinary approach to promote health and academic achievement among children in a deprived neighborhood: study protocol for a mixed-methods evaluation

Authors: Mariëlle E. Abrahamse, Caroline S. Jonkman, Janneke Harting

Published in: BMC Public Health | Issue 1/2018

Login to get access

Abstract

Background

The large number of children that grow up in poverty is concerning, especially given the negative developmental outcomes that can persist into adulthood. Poverty has been found as a risk factor to negatively affect academic achievement and health outcomes in children. Interdisciplinary interventions can be an effective way to promote health and academic achievement. The present study aims to evaluate a school-based interdisciplinary approach on child health, poverty, and academic achievement using a mixed-method design. Generally taken, outcomes of this study increase the knowledge about effective ways to give disadvantaged children equal chances early in their lives.

Methods

An observational study with a mixed-methods design including both quantitative and qualitative data collection methods will be used to evaluate the interdisciplinary approach. The overall research project exists of three study parts including a longitudinal study, a cross-sectional study, and a process evaluation. Using a multi-source approach we will assess child health as the primary outcome. Child poverty and child academic achievement will be assessed as secondary outcomes. The process evaluation will observe the program’s effects on the school environment and the program’s implementation in order to obtain more knowledge on how to disseminate the interdisciplinary approach to other schools and neighborhoods.

Discussion

The implementation of a school-based interdisciplinary approach via primary schools combining the cross-sectoral domains health, poverty, and academic achievement is innovative and a step forward to reach an ethnic minority population. However, the large variety of the interventions and activities within the approach can limit the validity of the study. Including a process evaluation will therefore help to improve the interpretation of our findings. In order to contribute to policy and practice focusing on decreasing the unequal chances of children growing up in deprived neighborhoods, it is important to study whether the intervention leads to positive developmental outcomes in children.

Trial registration

(NTR 6571) (retrospectively registered on August 4, 2017).
Literature
1.
go back to reference Nieuwenhuis J, Yu R, Branje S, Meeus W, Hooimeijer P. Neighbourhood poverty, work commitment and unemployment in early adulthood: a longitudinal study into the moderating effect of personality. PLoS One. 2016;11:e0167830.CrossRefPubMedPubMedCentral Nieuwenhuis J, Yu R, Branje S, Meeus W, Hooimeijer P. Neighbourhood poverty, work commitment and unemployment in early adulthood: a longitudinal study into the moderating effect of personality. PLoS One. 2016;11:e0167830.CrossRefPubMedPubMedCentral
2.
go back to reference Dietz RD. The estimation of neighborhood effects in the social sciences: an interdisciplinary approach. Soc Sci Res. 2002;31:539–75.CrossRef Dietz RD. The estimation of neighborhood effects in the social sciences: an interdisciplinary approach. Soc Sci Res. 2002;31:539–75.CrossRef
3.
go back to reference Van Steen PJM, Pellenbarg PH. Dutch children at risk of poverty. Tijdschr Econ Soc Geogr. 2014;105:237–9.CrossRef Van Steen PJM, Pellenbarg PH. Dutch children at risk of poverty. Tijdschr Econ Soc Geogr. 2014;105:237–9.CrossRef
5.
go back to reference Yoshikawa H, Aber JL, Beardslee WR. The effects of poverty on the mental, emotional, and behavioral health of children and youth: implications for prevention. Am Psychol. 2012;67:272–84.CrossRefPubMed Yoshikawa H, Aber JL, Beardslee WR. The effects of poverty on the mental, emotional, and behavioral health of children and youth: implications for prevention. Am Psychol. 2012;67:272–84.CrossRefPubMed
6.
go back to reference Chaudry A, Wimer C. Poverty is not just an indicator: the relationship between income, poverty, and child well-being. Acad Pediatr. 2016;16:23–9.CrossRef Chaudry A, Wimer C. Poverty is not just an indicator: the relationship between income, poverty, and child well-being. Acad Pediatr. 2016;16:23–9.CrossRef
7.
go back to reference Shelleby EC, Votruba-Drzal E, Shaw DS, Dishion TJ, Wilson MN, Gardner F. Income and children’s behavioral functioning: a sequential mediation analysis. J Fam Psychol. 2014;28:936–46.CrossRefPubMed Shelleby EC, Votruba-Drzal E, Shaw DS, Dishion TJ, Wilson MN, Gardner F. Income and children’s behavioral functioning: a sequential mediation analysis. J Fam Psychol. 2014;28:936–46.CrossRefPubMed
8.
go back to reference Luby J, Belden A, Botteron K, Marrus N, Harms MP, Babb C, Nishino T, Barch D. The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. JAMA Pediatr. 2013;167:1135–42.CrossRefPubMedPubMedCentral Luby J, Belden A, Botteron K, Marrus N, Harms MP, Babb C, Nishino T, Barch D. The effects of poverty on childhood brain development: the mediating effect of caregiving and stressful life events. JAMA Pediatr. 2013;167:1135–42.CrossRefPubMedPubMedCentral
9.
go back to reference Duncan GJ, Magnuson K, Votruba-Drzal E. Moving beyond correlations in assessing the consequences of poverty. Annu Rev Psychol. 2017;68:413–34.CrossRefPubMed Duncan GJ, Magnuson K, Votruba-Drzal E. Moving beyond correlations in assessing the consequences of poverty. Annu Rev Psychol. 2017;68:413–34.CrossRefPubMed
10.
go back to reference Wodtke GT, Parbst M. Neighborhoods, schools, and academic achievement: a formal mediation analysis of contextual effects on reading and mathematics abilities. Demography. 2017;54:1653–76.CrossRefPubMed Wodtke GT, Parbst M. Neighborhoods, schools, and academic achievement: a formal mediation analysis of contextual effects on reading and mathematics abilities. Demography. 2017;54:1653–76.CrossRefPubMed
11.
go back to reference Willms JD. School composition and contextual effects on student outcomes. Teach Coll Rec. 2010;112:1008–37. Willms JD. School composition and contextual effects on student outcomes. Teach Coll Rec. 2010;112:1008–37.
12.
go back to reference Duncan GJ, Ziol-Guest KM, Kalil A. Early-childhood poverty and adult attainment, behavior, and health. Child Dev. 2010;81:306–25.CrossRefPubMed Duncan GJ, Ziol-Guest KM, Kalil A. Early-childhood poverty and adult attainment, behavior, and health. Child Dev. 2010;81:306–25.CrossRefPubMed
13.
go back to reference Van der Berg S. Poverty and education. Paris: International Institute for Education. Planning. 2008; Van der Berg S. Poverty and education. Paris: International Institute for Education. Planning. 2008;
14.
go back to reference Glass TA, McAtee MJ. Behavioral science at the crossroads in public health: extending horizons, envisioning the future. Soc Sci Med. 2006;62:1650–71.CrossRefPubMed Glass TA, McAtee MJ. Behavioral science at the crossroads in public health: extending horizons, envisioning the future. Soc Sci Med. 2006;62:1650–71.CrossRefPubMed
15.
go back to reference Gortmaker SL, Cheung LY, Peterson KE, Chomitz G, Cradle JH, Dart H, et al. Impact of a school-based interdisciplinary intervention on diet and physical activity among urban primary school children: eat well and keep moving. Archives of Pediatrics & Adolescent Medicine. 1999;153:975–83.CrossRef Gortmaker SL, Cheung LY, Peterson KE, Chomitz G, Cradle JH, Dart H, et al. Impact of a school-based interdisciplinary intervention on diet and physical activity among urban primary school children: eat well and keep moving. Archives of Pediatrics & Adolescent Medicine. 1999;153:975–83.CrossRef
16.
go back to reference Lytle LA, Kelder SH, Perry CL, Klepp K-I. Covariance of adolescent health behaviors: the class of 1989 study. Health Educ Res. 1995;10:133–46.CrossRef Lytle LA, Kelder SH, Perry CL, Klepp K-I. Covariance of adolescent health behaviors: the class of 1989 study. Health Educ Res. 1995;10:133–46.CrossRef
17.
go back to reference Hollar D, Lombardo M, Lopez-Mitnik G, Hollar TL, Almon M, Agatston AS, Messiah SE. Effective multi-level, multi-sector, school-based obesity prevention programming improves weight, blood pressure, and academic performance, especially among low-income, minority children. J Health Care Poor Underserved. 2010;21:93–108.PubMed Hollar D, Lombardo M, Lopez-Mitnik G, Hollar TL, Almon M, Agatston AS, Messiah SE. Effective multi-level, multi-sector, school-based obesity prevention programming improves weight, blood pressure, and academic performance, especially among low-income, minority children. J Health Care Poor Underserved. 2010;21:93–108.PubMed
18.
go back to reference Khambalia A, Dickinson S, Hardy L, Ta G, Baur L. A synthesis of existing systematic reviews and meta-analyses of school-based behavioural interventions for controlling and preventing obesity. Obes Rev. 2012;13:214–33.CrossRefPubMed Khambalia A, Dickinson S, Hardy L, Ta G, Baur L. A synthesis of existing systematic reviews and meta-analyses of school-based behavioural interventions for controlling and preventing obesity. Obes Rev. 2012;13:214–33.CrossRefPubMed
19.
go back to reference Johnson RB, Onwuegbuzie AJ, Turner LA. Toward a definition of mixed methods research. Journal of Mixed Methods Research. 2007;1:112–33.CrossRef Johnson RB, Onwuegbuzie AJ, Turner LA. Toward a definition of mixed methods research. Journal of Mixed Methods Research. 2007;1:112–33.CrossRef
20.
go back to reference Creswell JW, Plano Clark VL. Designing and conducting mixed methods research. Thousand Oaks: Sage Publications; 2007. Creswell JW, Plano Clark VL. Designing and conducting mixed methods research. Thousand Oaks: Sage Publications; 2007.
21.
go back to reference Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258.CrossRefPubMedPubMedCentral Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258.CrossRefPubMedPubMedCentral
22.
go back to reference Currie C, Zanotti C, Morgan A, Currie D, De Looze M, Roberts C, et al. Social determinants of health and well-being among young people: HBSC international report from the 2009/2010 survey. Copenhagen: world health. Organization. 2012; Currie C, Zanotti C, Morgan A, Currie D, De Looze M, Roberts C, et al. Social determinants of health and well-being among young people: HBSC international report from the 2009/2010 survey. Copenhagen: world health. Organization. 2012;
23.
go back to reference Cantril H. Pattern of human concerns. New Brunswick: Rutgers University Press; 1965. Cantril H. Pattern of human concerns. New Brunswick: Rutgers University Press; 1965.
24.
go back to reference Van Widenfelt BM, Goedhart AW, Treffers PD, Goodman R. Dutch version of the strengths and difficulties questionnaire (SDQ). European Child & Adolescent Psychiatry. 2003;12:281–9.CrossRef Van Widenfelt BM, Goedhart AW, Treffers PD, Goodman R. Dutch version of the strengths and difficulties questionnaire (SDQ). European Child & Adolescent Psychiatry. 2003;12:281–9.CrossRef
25.
go back to reference Muris P, Meesters C, Eijkelenboom A, Vincken M. The self-report version of the strengths and difficulties questionnaire: its psychometric properties in 8- to 13-year-old non-clinical children. Br J Clin Psychol. 2004;43:437–48.CrossRefPubMed Muris P, Meesters C, Eijkelenboom A, Vincken M. The self-report version of the strengths and difficulties questionnaire: its psychometric properties in 8- to 13-year-old non-clinical children. Br J Clin Psychol. 2004;43:437–48.CrossRefPubMed
26.
go back to reference Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Power M, et al. The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Value Health. 2008;11:645–58.CrossRefPubMed Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Power M, et al. The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Value Health. 2008;11:645–58.CrossRefPubMed
27.
go back to reference Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M. Researching health inequalities in adolescents: the development of the health behaviour in school-aged children (HBSC) family affluence scale. Soc Sci Med. 2008;66:1429–36.CrossRefPubMed Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M. Researching health inequalities in adolescents: the development of the health behaviour in school-aged children (HBSC) family affluence scale. Soc Sci Med. 2008;66:1429–36.CrossRefPubMed
28.
go back to reference Hartley JEK, Levin K, Currie C. A new version of the HBSC family affluence scale - FAS III: Scottish qualitative findings from the international FAS development study. Child Indicators Research. 2016;9:233–45.CrossRefPubMed Hartley JEK, Levin K, Currie C. A new version of the HBSC family affluence scale - FAS III: Scottish qualitative findings from the international FAS development study. Child Indicators Research. 2016;9:233–45.CrossRefPubMed
29.
go back to reference Steketee M, Nederland T, Mak J, van der Gaag R, van Bommel M, Roebroek L, et al. Kinderen in armoede in Nederland. De Kinderombudsman: Den Haag; 2013. Steketee M, Nederland T, Mak J, van der Gaag R, van Bommel M, Roebroek L, et al. Kinderen in armoede in Nederland. De Kinderombudsman: Den Haag; 2013.
30.
go back to reference Zee M, Koomen HMY. Teacher self-efficacy and its effects on classroom processes, student academic adjustment, and teacher well-being. Rev Educ Res. 2016;86:981–1015.CrossRef Zee M, Koomen HMY. Teacher self-efficacy and its effects on classroom processes, student academic adjustment, and teacher well-being. Rev Educ Res. 2016;86:981–1015.CrossRef
31.
go back to reference Zee M, Koomen HM, Jellesma FC, Geerlings J, de Jong PF. Inter-and intra-individual differences in teachers' self-efficacy: a multilevel factor exploration. J Sch Psychol. 2016;55:39–56.CrossRefPubMed Zee M, Koomen HM, Jellesma FC, Geerlings J, de Jong PF. Inter-and intra-individual differences in teachers' self-efficacy: a multilevel factor exploration. J Sch Psychol. 2016;55:39–56.CrossRefPubMed
32.
go back to reference Tschannen-Moran M, Teachers WHA. Sense of efficacy scale. J Educ Psychol. 2001;83:81–91. Tschannen-Moran M, Teachers WHA. Sense of efficacy scale. J Educ Psychol. 2001;83:81–91.
33.
go back to reference Donkers A, Klimaatschaal VA. Handleiding [class climate scale: manual]. Uden, the Netherlands: Orthopraktijk Ad Donkers & Ad Vermulst; 2014. Donkers A, Klimaatschaal VA. Handleiding [class climate scale: manual]. Uden, the Netherlands: Orthopraktijk Ad Donkers & Ad Vermulst; 2014.
Metadata
Title
A school-based interdisciplinary approach to promote health and academic achievement among children in a deprived neighborhood: study protocol for a mixed-methods evaluation
Authors
Mariëlle E. Abrahamse
Caroline S. Jonkman
Janneke Harting
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/s12889-018-5309-9

Other articles of this Issue 1/2018

BMC Public Health 1/2018 Go to the issue