Literature DB >> 33268415

Mapping the evidence regarding school-to-work/university transition and health inequalities among young adults: a scoping review protocol.

Paula Mayara Matos Fialho1, Nico Dragano2, Marvin Reuter2, Maria-Inti Metzendorf3, Bernd Richter3, Stephanie Hoffmann4, Katharina Diehl5, Benjamin Wachtler6, L Sundmacher7, Max Herke8, Claudia Pischke2.   

Abstract

INTRODUCTION: School-to-work/university transition is a sensitive period that can have a substantial impact on health and health behaviour over the life course. There is some indication that health and health behaviour is socially patterned in the age span of individuals in this transition (16-24 years) and that there are differences by socioeconomic position (SEP). However, evidence regarding this phenomenon has not been systematically mapped. In addition, little is known about the role of institutional characteristics (eg, of universities, workplaces) in the development of health and possible inequalities in health during this transition. Hence, the first objective of this scoping review is to systematically map the existing evidence regarding health and health behaviours (and possible health inequalities, for example, differences by SEP) in the age group of 16-24 years and during school-to-work transition noted in Germany and abroad. The second objective is to summarise the evidence on the potential effects of contextual and compositional characteristics of specific institutions entered during this life stage on health and health behaviours. Third, indicators and measures of these characteristics will be summarised. METHODS AND ANALYSIS: We will systematically map the evidence on health inequalities during school-to-work-transitions among young adults (aged 16-24 years), following the methodological framework proposed by Arksey and O'Malley. The literature search is performed in Ovid MEDLINE, Web of Science, International Labour Organization and National Institute for Occupational Safety and Health, using a predetermined search strategy. Articles published between January 2000 and February 2020 in English or German are considered for the review. The selection process follows a two-step approach: (1) screening of titles and abstracts, and (2) screening of full texts, both steps by two independent reviewers. Any discrepancies in the selection process are resolved by a third researcher. Data extraction will be performed using a customised data extraction sheet. The results will be presented in tabular and narrative form. ETHICS AND DISSEMINATION: Ethical approval is not required for this scoping review. The results will be published in a peer-reviewed scientific journal and presented at international conferences and project workshops. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  protocols & guidelines; public health; social medicine

Mesh:

Year:  2020        PMID: 33268415      PMCID: PMC7713198          DOI: 10.1136/bmjopen-2020-039831

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This will be the first scoping review to systematically map the existing evidence regarding health and health behaviours (and possible health inequalities, for example, differences by socioeconomic position) in the age group of 16–24 years and during school-to-work/university transition. It will also be the first attempt to summarise the evidence on the potential effects of contextual and compositional characteristics of specific institutions entered during this life stage on health and health behaviours, and to gain information on how these characteristics are typically measured. This scoping review will include various types of study designs to capture a vast range of evidence. It will be conducted based on a well-established, rigorous scoping review methodology with a systematic search approach supported by an experienced information specialist. Due to the complexity of the research question and the unreliable availability of core concepts of the research question in the abstracts of relevant references, we will probably not be able to capture all relevant studies with our search strategy.

Introduction

Following secondary education, a time of social stratification and mobility begins with different possible scenarios. Young individuals between the ages of 16 and 24 years (ie, from late adolescence to young adulthood) either (a) enter tertiary education, (b) start vocational training, (c) work without formal training, (d) become unemployed or (e) neither enter the labour market nor tertiary education due to several reasons.1 2 These so called ‘school-to-work/university-transitions’ are important in that individuals are leaving their parental homes and social networks which used to be relevant during childhood and adolescence, and build new friendships and networks with peers.3 Further, decisions regarding career paths are made which impact individuals’ biographies later on. During these events, individuals are confronted with new institutional contexts and the task of having to learn new social roles.4 5 For example, young adults are exposed to new, previously unknown educational contexts, such as those of vocational schools or universities, or employment conditions. Results of a study by Sawyer et al suggest that young adults entering tertiary or vocational education experience increasing psychosocial stress arising from a high workload and examinations in this context.6 In some cases, and as a result of coping with these new stressors encountered, young adults adopt health-damaging behaviour. Smoking, alcohol and substance use are initiated in late adolescence and persist beyond this life stage affecting individual health status in the long term.7 In addition, symptoms of psychological disorders, such as depression, are often observed for the first time during this stage. For example, data of the Robert Koch Institute indicate that 7% of women and 4% of men aged 18–29 years in Germany report having received a diagnosis of depression within the last 12 months.8 Also, the prevalence of overweight and obesity, a major risk factor for chronic non-communicable diseases, such as type 2 diabetes and coronary heart disease,9 10 is 30% among women and 35% among men, and 10% and 9%, respectively, among individuals aged 18–29 years, respectively.11 Despite the research outlined above highlighting the incidence of risk factors for non-communicable diseases and harmful behaviours potentially endangering health during this sensitive period, the majority of young adults are generally in good health. Many age-dependent diseases have not emerged, yet, and physical resilience is high in this age bracket.12 Previous research also suggests that health and health behaviours are socially patterned.13 14 Notably, health inequalities seem to be particularly pronounced among individuals aged 16–24 years compared with other age groups. Higher rates of impaired health among young adults with a lower socioeconomic position (SEP) have been found in several international studies examining social patterns of health conditions, such as depression,15 migraine, schizophrenia, asthma, back pain, obesity,7 early cardiovascular risk factors (eg, high blood pressure),16 work-related injuries17 and sickness absence.18 One study19 even reported inequalities in rates of mortality for young men and women based on longitudinal registry data from Finland and taking parental education as a proxy for SEP. Only few of the international studies have been replicated in Germany, but there is some evidence indicating that these social patterns may also exist there.8 20 For example, higher rates of diagnosed depression and obesity are observed among young adults with a lower SEP compared with their higher SEP counterparts. Similarly, young adults raised in disadvantaged families report poorer self-rated health compared with those from more advantaged families.8 Also, social mobility (ie, mobility in terms of SEP during life) seems to accompany better or worse health, depending on the direction of change.21 The social mobility in Great Britain report indicates that where a young person lives can be a cause of inequalities in social mobility with long-lasting effects into adulthood.22 However, little is known about the role of institutional characteristics (eg, of universities, workplaces) in the development of health and possible inequalities in health during the transition from school to work/university. Hence, the first objective of this scoping review is to systematically map the existing evidence regarding health and health behaviours (and possible health inequalities, for example, differences by SEP) in the age group of 16–24 years and during school-to-work/university transition noted in Germany and abroad. The second objective is to summarise the evidence on the potential effects of contextual and compositional characteristics of specific institutions entered during this life stage on health and health behaviours. Third, indicators and measures of these characteristics will be summarised. Due to the lack of systematic research in this area, an explorative approach will be adopted by conducting a scoping review.

Methods

Protocol design

The scoping review will be informed by the methodological framework proposed by Arksey and O’Malley23 which was further developed by Levac et al24 and the Joanna Briggs Institute.25 26 This type of review synthesises broader topics addressing complex and inter-related research questions. The difference between a scoping and a systematic review is explained by Arksey and O’Malley: ‘A systematic review might typically focus on a well-defined question where appropriate study designs can be identified in advance whilst a scoping study tends to address broader topics where many different study designs might be applicable. Second, the systematic review aims to provide answers to questions from a relatively narrow range of quality assessed studies, whilst a scoping study is less likely to seek to address very specific research questions nor, consequently, to assess the quality of included studies’ (p20).23 To conclude, this method has advantages in this particular setting because a broad range of findings is covered, including evidence from observational and qualitative studies. Arksey and O’Malley’s scoping review framework recommends organising the review process in at least five central methodological stages23: Stage 1: Identifying the research question. Stage 2: Identifying relevant studies. Stage 3: Study selection. Stage 4: Charting the data. Stage 5: Collating, summarising and reporting results. The original framework proposed by Arksey and O’Malley suggests an optional step (Stage 6: Undertaking consultations with key stakeholders), which will not be performed in our project. Furthermore, our scoping review will be performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: Extension for Scoping Reviews (PRISMA-ScR).27

Stage 1: Identifying the research question and modifying the existing logic model

Prior to conducting the scoping review and in preparation of the grant proposal (FOR 2723),28 we outlined the following questions: What is the current state of evidence on health and health behaviours (and possible health inequalities, for example, differences by SEP) in the age group of 16–24 years during school-to-work/university transition? What is the current evidence on health effects of contextual and compositional characteristics of the specific institutions involved? How are relevant institutional characteristics measured in current and past studies? However, these questions will be refined after having analysed the literature on health inequalities during school-to-work/university transition and possible effects of contextual and compositional factors of various contexts entered by young adults on health. Further, during the preparation of the grant proposal,28 the following conceptual model was developed in an attempt to map influences of contextual and compositional factors on health (see figure 1). This model will also be adapted after the scoping review is completed.
Figure 1

Conceptual framework of the research unit.28

Conceptual framework of the research unit.28

Stage 2: Identifying relevant studies

Following the second stage of the framework of Arksey and O’Malley, we aim to identify criteria to be used for selecting studies. Studies will be included which examine the previously defined research questions in the population and contexts outlined in table 1.
Table 1

Inclusion and exclusion criteria for identification of eligible studies

Inclusion criteriaExclusion criteria
Population(aged 16–24 years)

Students

Age range only from 16 to 17 years (ie, only includes 2-year range)

Employed; unemployed

Populations with chronic diseases (type 1 or 2 diabetes, disabled populations)

Other individuals in this age group neither entering the labour market nor tertiary education due to several other reasons (eg, military service)

Teen pregnancy/sexual health

ConceptAll research investigating health inequalities in the stage of school-to-work transitions.
Studydesign

Cross-sectional studies

Case studies

Prospective or retrospective cohort studies

Comments, statements, replies, editorials

Case–control studies

Animal studies

Qualitative studies

Cell studies

Reviews (systematic and unsystematic)

Abstracts conferences

Concept papers

Context

Studies conducted at the population is in the school, university or work contexts (including: apprenticeship, vocational training, unemployment and unskilled work)

School-based studies or studies with pupils

Studies analysing contextual and compositional characteristics of institutions

University students are mentioned or young adults, but socioeconomic position29 or status30* is not reported

Only study populations from developed countries (according to the country classification of the United Nations)31 will be included

Socioeconomic status or position only adjusted for but no subgroup analyses by socioeconomic status or position presented

*‘Socioeconomic position’ is defined by the social and economic factors that influence the positions that individuals or groups occupy within the structure of a society29 and ‘socioeconomic status’ refers to a measure of social position that generally includes income, level of education and occupation.30

Inclusion and exclusion criteria for identification of eligible studies Students Age range only from 16 to 17 years (ie, only includes 2-year range) Employed; unemployed Populations with chronic diseases (type 1 or 2 diabetes, disabled populations) Other individuals in this age group neither entering the labour market nor tertiary education due to several other reasons (eg, military service) Teen pregnancy/sexual health Cross-sectional studies Case studies Prospective or retrospective cohort studies Comments, statements, replies, editorials Case–control studies Animal studies Qualitative studies Cell studies Reviews (systematic and unsystematic) Abstracts conferences Concept papers Studies conducted at the population is in the school, university or work contexts (including: apprenticeship, vocational training, unemployment and unskilled work) School-based studies or studies with pupils Studies analysing contextual and compositional characteristics of institutions University students are mentioned or young adults, but socioeconomic position29 or status30* is not reported Only study populations from developed countries (according to the country classification of the United Nations)31 will be included Socioeconomic status or position only adjusted for but no subgroup analyses by socioeconomic status or position presented *‘Socioeconomic position’ is defined by the social and economic factors that influence the positions that individuals or groups occupy within the structure of a society29 and ‘socioeconomic status’ refers to a measure of social position that generally includes income, level of education and occupation.30 We defined the below criteria that the studies have to meet to be eligible for inclusion: Descriptive study (cross-sectional): Differences in health and health behaviours (eg, by SEP) are described. Trajectories/transitions (longitudinal studies): T0 and T1 within the age range. Clear contextual reference (eg, workplace, university) in studies describing trajectories. The following criteria will also be used as eligibility criteria: Language: only studies published in English or German will be included. Timeframe: January 2000–current. The following resources will be searched: Electronic database: Ovid MEDLINE. Electronic database: Web of Science. Grey literature: website of the International Labour Organization. Grey literature: website of the US National Institute for Occupational Safety and Health. The search strategy to identify the relevant literature is described in online supplemental appendix 1. The search strategy was developed by an information specialist using text analysis methods with the web-based tools Voyant (https://voyant-tools.org/) and Search Refiner (https://ielab-searchrefiner.uqcloud.net/). The strategy was conceptualised based on a set of 13 relevant references known to the authors.

Stage 3: Study selection

Following the framework of Arksey and O’Malley, the third stage of the scoping review process aims to identify the studies that will be included in the scoping review. The search results will be deduplicated using the reference management software EndNote. The resulting set will be imported to and screened with the online tool Rayyan (https://rayyan.qcri.org/welcome). We will report the process of study selection using an adapted PRISMA flow chart (see figure 2).
Figure 2

Adapted Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram. From: Moher et al.32

Adapted Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram. From: Moher et al.32 The study selection phase will involve two screening stages and will be performed independently by two members of the research team. During the first stage, titles and abstracts of each article will be examined to assess their relevance for the review according to predefined inclusion and exclusion criteria; during the second stage, all records included in the first stage will be full text read for data extraction. Any disagreement between the two reviewers will be resolved with a third researcher of the team. According to the ‘Joanna Briggs Institute Reviewers’ Manual 2015’,26 a scoping review does not require an assessment of the quality of the studies included. Therefore, the quality assessment will not be performed.

Stage 4: Charting the data

In this stage, we will collect the basic characteristics of the studies and relevant information on outcomes that will be used to answer our refined research questions. Data extraction will be performed independently by two authors. Any disagreement will be resolved by discussion or, if no consensus can be reached, by consulting with a third researcher of the team. Inter-rater reliability will not be assessed at this stage. Hand searching of the reference lists of the included records (snowballing) will be performed. Also, if necessary, key authors will be contacted for articles in press or recently submitted. As a tool for systematic data extraction, a predetermined template in Microsoft Excel will be developed by the authors. Data extraction in this scoping review will include mainly charting the results in a descriptive summary. The extracted data will include, but are not limited, to the following information: Author. Year of publication. Study location. Number of participants. Age range. Study population. Size of population. Study design. Outcomes.

Stage 5: Collating, summarising and reporting the results

After charting the relevant data of the studies in the spreadsheets, major findings will be discussed with the research team and after reaching agreement, the collected data will be summarised according to the specific research question addressed in our planned publication (evidence mapping). The results will be presented in a tabular and narrative form. The content of the articles will be analysed by using a qualitative synthesis approach in order to extract the most important information on health inequalities. The synthesis will also include quantitative analysis (eg, frequency analysis) of the study design, country of the study, main health outcomes. We will use the PRISMA-ScR27 to report the results.

Patient and public involvement

No patient involved.

Ethics and dissemination

Because a scoping review is aimed at collecting, reviewing and synthesising material from publicly available publications, this study does not require an ethical approval. The results of the scoping review will be published in a peer-reviewed scientific journal and presented at national and international conferences. This scoping review is part of a multicentre research project. For this reason, the results will also be presented at project workshops.
  17 in total

1.  Adolescence: a foundation for future health.

Authors:  Susan M Sawyer; Rima A Afifi; Linda H Bearinger; Sarah-Jayne Blakemore; Bruce Dick; Alex C Ezeh; George C Patton
Journal:  Lancet       Date:  2012-04-25       Impact factor: 79.321

2.  Adolescence and the social determinants of health.

Authors:  Russell M Viner; Elizabeth M Ozer; Simon Denny; Michael Marmot; Michael Resnick; Adesegun Fatusi; Candace Currie
Journal:  Lancet       Date:  2012-04-25       Impact factor: 79.321

Review 3.  Pathways and mechanisms in adolescence contribute to adult health inequalities.

Authors:  Pernille Due; Rikke Krølner; Mette Rasmussen; Anette Andersen; Mogens Trab Damsgaard; Hilary Graham; Bjørn E Holstein
Journal:  Scand J Public Health       Date:  2011-03       Impact factor: 3.021

4.  Systolic blood pressure, socioeconomic status, and biobehavioral risk factors in a nationally representative US young adult sample.

Authors:  Beverly H Brummett; Michael A Babyak; Ilene C Siegler; Michael Shanahan; Kathleen Mullan Harris; Glen H Elder; Redford B Williams
Journal:  Hypertension       Date:  2011-07-05       Impact factor: 10.190

Review 5.  Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism.

Authors:  Paul Poirier; Thomas D Giles; George A Bray; Yuling Hong; Judith S Stern; F Xavier Pi-Sunyer; Robert H Eckel
Journal:  Circulation       Date:  2005-12-27       Impact factor: 29.690

6.  Social mobility and social accumulation across the life course in relation to adult overweight and obesity: the Whitehall II study.

Authors:  A Heraclides; E Brunner
Journal:  J Epidemiol Community Health       Date:  2009-09-07       Impact factor: 3.710

7.  Interrelationships between education, occupational class and income as determinants of sickness absence among young employees in 2002-2007 and 2008-2013.

Authors:  Hilla Sumanen; Olli Pietiläinen; Jouni Lahti; Eero Lahelma; Ossi Rahkonen
Journal:  BMC Public Health       Date:  2015-04-08       Impact factor: 3.295

Review 8.  The potential use of physical resilience to predict healthy aging.

Authors:  Anna Schorr; Christy Carter; Warren Ladiges
Journal:  Pathobiol Aging Age Relat Dis       Date:  2017-11-21

9.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

Review 10.  The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis.

Authors:  Daphne P Guh; Wei Zhang; Nick Bansback; Zubin Amarsi; C Laird Birmingham; Aslam H Anis
Journal:  BMC Public Health       Date:  2009-03-25       Impact factor: 3.295

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  2 in total

Review 1.  School-to-work and school-to-university transition and health inequalities among young adults: a scoping review.

Authors:  Paula Mayara Matos Fialho; Nico Dragano; Marvin Reuter; Christian Deindl; Sarah Schleberger; Maria-Inti Metzendorf; Stephanie Hoffmann; Katharina Diehl; Benjamin Wachtler; Wiebke Schüttig; Max Herke; Matthias Richter; Claudia R Pischke
Journal:  BMJ Open       Date:  2022-07-12       Impact factor: 3.006

Review 2.  Role of contextual and compositional characteristics of schools for health inequalities in childhood and adolescence: a scoping review.

Authors:  Max Herke; Irene Moor; Kristina Winter; Miriam Hack; Stephanie Hoffmann; Jacob Spallek; Jennifer Hilger-Kolb; Raphael Herr; Claudia Pischke; Nico Dragano; Anna Novelli; Matthias Richter
Journal:  BMJ Open       Date:  2022-02-01       Impact factor: 2.692

  2 in total

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