This Article supports SDG 3 by assessing continuity of care in people with learning disabilities or autism transitioning from paediatric to adult care, finding that planned care decreased.
This article ties to SDG 3. The aim of this study was to identify the determinants of life satisfaction and mental health disorders in Hazara Shias and ascertain which socio-demographic characteristics are associated with post-traumatic stress disorder (PTSD).

The Lancet Regional Health - Americas,
Volume 18,
2023,
100434

In response to the UN-resolution from 2021, these authorsprovide recommendations for lawmakers and policymakers in Brazil, Peru, and Colombia on how to improve public policies and national legislation for persons living with rare diseases in these three countries, based on interviews with patient advocacy groups.
This chapter aligns with Goal 14: Life Below Water and Goal 3: Good Health and Wellbeing by highlighting some of the many beneficial pharmaceutical applications of marine algae bromophenols.
Elsevier,

Current Trends and Future Developments on (Bio-) Membranes: Membrane Technologies in Environmental Protection and Public Health: Challenges and Opportunities, Volume 1, 1 January 2022

This chapter aligns with Goal 3: Good health and well-being and Goal 15: Life on land by summarizing the mechanisms through which different forms of pollution impact human health, with particular emphasis on air, water, soil, and noise pollution.
This Article supports SDG 3 by assessing uptake of lung health checks by eligible adults in socioeconomically and ethnically diverse areas and finding that inequalities between groups persist.
This article ties to SDG 3. The objective in the current review is to provide an update on the development of new pharmacological treatments for anxiety disorders and PTSD.
Elsevier,

European Journal of Obstetrics & Gynecology and Reproductive Biology: X, Volume 17, March 2023, 100177

Less sexual dysfunction seemed to relate with higher quality of life in older people.
The authors of this study adopted a novel methodology, involving the use of unsupervised machine learning to analyse a large volume of free-text data from social media tweets with content related to healthy ageing, and further categorised the arising broad themes through inductive and iterative thematic analysis.
This content links with Goal 3: Good health and well-being and Goal 10: Reduced Inequalities by providing information about esophageal squamous cell carcinoma (ESCC) and the upper aerodigestive microbiomes role in carcinogenesis and outcomes.

Pages