Evidence map›Paper›PMID 42077978›Full record

ArticleFrontiers in public health2026

Age assurance for online sexual content: applying the health policy triangle to UK early signals and transferable safeguards for sub-Saharan Africa.

Moses Ifeatu Nwuzoh, Stanley Chinedu Eneh, Collins Chibueze Anokwuru, Onyeka Chukwudalu Ekwebene, Moses Obinna John, Runyi Bassey Ogbet, Ruth Senibi, Samson Adiaetok Udoewah

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Moses Ifeatu NwuzohDepartment of Food Science and Technology, Chukwuemeka Odumegwu Ojukwu University, Igbariam, Anambra, Nigeria.
Stanley Chinedu EnehYouth in Research Hub, Enugu, Nigeria.
Collins Chibueze AnokwuruYouth in Research Hub, Enugu, Nigeria.
Onyeka Chukwudalu EkwebeneYouth in Research Hub, Enugu, Nigeria.
Moses Obinna JohnYouth in Research Hub, Enugu, Nigeria.
Runyi Bassey OgbetYouth in Research Hub, Enugu, Nigeria.
Ruth SenibiYouth in Research Hub, Enugu, Nigeria.
Samson Adiaetok UdoewahYouth in Research Hub, Enugu, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children's exposure to sexually explicit online material has been associated with early sexualisation, distorted gender norms, risky sexual behaviours, and adverse mental health outcomes, with first exposure often occurring before the age of 12 and increasingly through mainstream digital platforms. Age assurance has therefore emerged as a regulatory approach that shifts the responsibility of restricting underage access from parents to digital services. The United Kingdom Online Safety Act 2023 establishes one of the first comprehensive statutory age assurance frameworks, combining risk-based duties, regulatory guidance, multiple verification pathways, privacy protections, and staged enforcement. This study applies a desk-based policy analysis, guided by the Health Policy Triangle, to examine the regulatory architecture of the United Kingdom age assurance framework and assess the conditional transferability of its safeguards to sub-Saharan Africa. The sources included legislation, regulatory guidance, official policy documents, civil society analyses, peer-reviewed literature, and early implementation reports published between 2020 and 2025. Early implementation signals indicate platform compliance actions, reported traffic reductions to certain adult sites, increased circumvention behaviour, including the use of virtual private networks, and mixed public responses characterised by broad support for child protection alongside concerns about the effectiveness of the measures and the sharing of identity credentials. These indicators are interpreted as preliminary governance and implementation signals rather than the evidence of policy effectiveness. Five policy design elements appear potentially adaptable under equity and capacity constraints: risk-based proportionality, multiple and document-free verification pathways, transparency and vendor accountability, staged supervision and enforcement, and cross-regulator coordination. The study provides a policy analytic framework for country-level adaptation in sub-Saharan Africa and highlights priorities for context-sensitive implementation and future evaluation.

Indexed as

Health PolicyInternetSexual BehaviorAfrica South of the SaharaAge FactorsChildDigital MediaHumansUnited Kingdomage assurancechild online protectiondigital governanceequityhealth policy triangleonline safety regulationsub-Saharan AfricaUnited Kingdom online safety act

Identifiers

PMID42077978
PMCPMC13131333

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.