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Enregistrement W3174901447 · doi:10.1016/j.jadohealth.2021.04.003

The Next Phase of the Global Early Adolescent Study: Measuring How Gender Norms and Gender Inequality Intensify and Influence Health

2021· article· en· W3174901447 sur OpenAlexaff
Elizabeth Saewyc

Notice bibliographique

RevueJournal of Adolescent Health · 2021
Typearticle
Langueen
DomaineHealth Professions
ThématiqueAdolescent Sexual and Reproductive Health
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésInequalityGender inequalityAdolescent healthPsychologyPhase (matter)Developmental psychologyDemographic economicsPolitical scienceMedicineEconomicsMathematicsPhysicsNursing

Résumé

récupéré en direct d'OpenAlex

In 2017, this journal published the first supplement of research from the Global Early Adolescent Study (GEAS), which provided a rich examination of how gender is experienced during early adolescence (ages 10–14) in low-income urban areas in 15 different countries across the world [[1]Saewyc E.M. A global perspective on gender roles and identity. Special supplement, the Global Early Adolescent Study: An exploration of the factors that shape adolescence.J Adol Health. 2017; 61: S1-S2Abstract Full Text Full Text PDF PubMed Scopus (12) Google Scholar]. At the time, the theoretical and empirical literature on gender socialization and gender norms in adolescence had been developed primarily in high-income countries in the global North, among relatively affluent young adolescents. The multiple cross-country comparisons of how gender socialization intensifies and diverges for different genders during this developmental stage expanded, validated, and contextualized previous understandings of gender norms within the early adolescent years. They offered revealing insights into how and why gender is such an influential social determinant of health in adolescence and beyond. Those papers also helped map the territory for the next phase of GEAS: developing appropriate measures of gender norms, and applying those measures in larger studies of young adolescents within and across these same urban contexts, to delve both more deeply and more broadly into where gender norms are similar and different across cultural contexts, and how the intensifying patterns of gender norms contribute to differences in health and well-being. This second supplement includes eight papers that document how the GEAS research team have achieved their aims, advancing our knowledge of gender influences on young adolescent health and well-being. The first paper, led by Mmari et al. [[2]Mmari K. Cooper D. Moreau C. et al.The social context of early adolescents in the Global Early Adolescent Study.J Adol Health. 2021; Google Scholar], sets the stage for the other papers by introducing the social contexts of young people within seven of the GEAS sites, describing the similarities and differences in those family and social environments between boys and girls and across countries. It serves as an important background for the remaining papers, reminding us of the diverging social contexts in early adolescence that reinforce gender norms. In the second paper, Moreau et al. [[3]Moreau C. Li M. Ahmed S. et al.Assessing the spectrum of gender norms perceptions in early adolescence: A cross-cultural analysis of the global early adolescent study.J Adol Health. 2021; Google Scholar] introduce three key measures of perceptions of gender norms, developed from the qualitative findings from the first phase of GEAS: the sexual double standard (SDS), gender stereotypical traits, and gender stereotypical roles. These scales were designed to be developmentally appropriate, salient across the different cultural contexts in the diverse languages of the participating countries, and sensitive to change over the early adolescent period. The measures are the foundation for the other studies, which explore how perceptions of gender norms vary across groups, shift or intensify throughout early adolescence, are influenced by social exposures, and in turn influence perceptions and health outcomes in diverse ways. They fill a critical gap in measurement noted by Kågesten and Chandra-Mouli [[4]Kågesten A. Chandra-Mouli V. Gender-transformative programmes: Implications for research and action.Lancet Glob Health. 2020; 8: e159-e160Abstract Full Text Full Text PDF PubMed Scopus (14) Google Scholar] in a commentary about gender transformative programs [[5]Levy J.K. Darmstadt G.L. Ashby C. et al.Characteristics of successful programmes targeting gender inequality and restrictive gender norms for the health and wellbeing of children, adolescents, and young adults: A systematic review.Lancet Glob Health. 2020; 8: e225-e236Abstract Full Text Full Text PDF PubMed Scopus (30) Google Scholar] designed to reduce gender inequalities: we lack measures about gender norms for adolescents, relevant for different contexts and sensitive to change, that can document whether these programs actually change gender norms and improve gendered health outcomes. The other papers in the supplement, which draw on one or more of these gender norms measures, offer a complex and sometimes unexpected picture of how gender norms are shaped by social context, and in turn can influence perceptions, behaviors, and the well-being of young people. For example, Cislaghi et al [[6]Cislaghi B. Bhatia A. Li M. et al.Changes in the sexual double standard associated with socio-developmental factors among young adolescents in Kinshasa.J Adol Health. 2021; Google Scholar] measured the shift in perceptions of gender norms over early adolescence in Kinshasa, DRC: they found that the SDS was high among boys and higher among girls, and increased over time, although different sociodemographic factors were associated with lower or higher average increases. The study across four countries by Yu et al [[7]Yu C. Kågesten A.E. De Meyer S. et al.Pornography use and perceived gender norms among young adolescents in urban poor environments: A cross-site study.J Adol Health. 2021; Google Scholar] found that pornography consumption among young adolescents was strongly gendered, as boys were more likely to report pornography exposure, but the relationship between pornography and unequal gender norms varied across countries and genders. Blum et al [[8]Blum R.W. Li M. Choirriyah I. et al.Body satisfaction in early adolescence: A multi-site comparison.J Adol Health. 2021; PubMed Google Scholar] also found that the relationship between body satisfaction and gender norms across six countries varied by site and by sex, as well as by family and neighborhood factors, in complex ways. In four countries of the GEAS, Koenig et al. [[9]Koenig L.R. Blum R.W. Shervington D. et al.The role of gender expectations in the mental health of young adolescents: A cross-sectional, cross-cultural study.J Adol Health. 2021; Google Scholar] found that more equal gender norms were linked to lower depressive symptoms among boys and girls, and gender norms partially mediated the relationship between sex and mental health. Ramaiya et al. [[10]Ramaiya A. Choirriyah I. Heise L. et al.Understanding the relationship between adverse childhood experiences, peer violence perpetration and gender norms among very young adolescents in Indonesia: A cross-sectional study.J Adol Health. 2021; PubMed Google Scholar] studied how adverse childhood events (primarily violence exposure) and gender norms differentially contributed to peer violence among boys and girls in Indonesia, where SDSs were linked to peer violence among boys but not girls. Finally, Zimmerman et al. [[11]Zimmerman L. Koenig L.R. Pulerwitz J. et al.Disentangling power and gender norms: A case for addressing empowerment and gender unequal norms among young adolescents.J Adol Health. 2021; Google Scholar] identified the ways more unequal gender norms were associated with increased agency (having a voice and decision-making) for boys, and lower agency for girls. In all of these studies, these new measures document that unequal stereotypical gender traits and roles and SDSs exist in each of the different country contexts to varying degrees, and reinforce gender inequalities among young adolescents. Whether the intensification of unequal gender norms during early adolescence is a continuation of even earlier gender socialization in society, or an abrupt social change at puberty, these unequal norms often contribute to poorer health, and may help explain shifting health disparities between genders. They demonstrate that gender matters, but gender norms operate in complex ways in influencing young people, and may even vary within the same person across different contexts. As intriguing as these contributions are in advancing our knowledge, there is still more work to do. The studies reveal how pervasively gender has been constructed and reinforced as a binary, comprised of only boys and girls. This binary creates challenges for the 2% or larger proportion of gender-diverse, transgender, nonbinary, and intersex adolescents, who are invisible within or excluded from these samples [[12]Frohard-Dourlent H. Dobson S. Clark B. et al."I would have preferred more options": Accounting for non-binary youth in health research.Nurs Inq. 2017; 25: e12150Crossref Scopus (55) Google Scholar]. For all genders, these papers offer compelling evidence that interventions are needed at individual, community, and societal levels to address unequal gender norms as a step toward improving gender equality and reducing differential health effects across genders. With these new measures around perceived gender norms for young adolescents, researchers can now evaluate the effectiveness of such interventions in changing norms, and improving adolescent health.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,340
Tête enseignante GPT0,479
Écart entre enseignants0,139 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2021
Routes d'admission1
Résumé présentoui

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