The problem of social desirability bias when measuring desire for adolescent pregnancy
Notice bibliographique
Résumé
Accurate reporting of pregnancy desire is instrumental to develop programmes that meet the needs of adolescents and can ensure their right to safety and support during their development into adulthood. In the paper by Estrada et al. (BJOG 2018;125:1330–6), the authors present more needed data on pregnancy desire in Latin America through secondary analysis of the UNICEF Multiple Indicator Cluster Surveys (https://mics.unicef.org/surveys). In this study, the authors found that pregnancy desire varied significantly by region, ranging from 38% in Panama to 79% in Cuba. The authors use robust methodology to account for between-country differences and identified that older adolescents with lower levels of education and lower parity and who were already married or cohabiting were more likely to desire their pregnancy. These findings have significant implications for effective programme design to reduce the adolescent pregnancy rate. In this analysis, the authors rightly state a limitation of their data as ‘a proportion of the population was retrospectively reporting pregnancy desire and would be subject to recall bias while others were currently pregnant and biased by social desirability’. The issue of social desirability bias is one that probably affects the entire population included in this study. It may have led to inflated estimates of pregnancy desire in some respondents, particularly those who are older and cohabiting, and reduced reporting in those who are younger or more educated, as is represented in the findings of this study. Social desirability bias is an issue that could and should be addressed in future research on pregnancy desire in adolescents. It is motivated by psychosocial determinants, such as the need for social approval and avoidance of embarrassment, and can also be determined by survey type, location and time (Krumpal Qual Quant 2013;47:2025–47). Methods to address social desirability bias in sexual health surveys have been presented, including indirect questioning and informal confidential voting interviews (Gregson et al. Sexually Transm Dis 2002;29:568–75). Reducing adolescent pregnancy is a health and human rights issue that requires urgent attention if we are to meet our global targets for health and prosperity set out in the Sustainable Development Goals. Specifically, programmes are needed that support the reduction of adolescent pregnancy in a respectful and inclusive manner, and that promote responsible and healthy reproductive and sexual behaviours, to ensure that girls meet their full potential. Effective programme design requires understanding the needs of adolescent girls, including the factors motivating their desire to become pregnant at such a young age. Estrada et al. begin to fill the gap in knowledge regarding pregnancy desire in Latin American adolescents, but further work is required that takes into account the social structure, societal norms, and individual and collective values surrounding girls during their adolescent years. The author would like to acknowledge thanks to Sumedha Sharma and Marianne Vidler for their editorial assistance. None declared. Completed disclosure of interests form available to view online as supporting information. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,413 | 0,648 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,005 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,008 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».