Health and population

Health and population dynamics are intertwined, embodying an intricate relationship with significant implications on the Sustainable Development Goals (SDGs). Health is fundamentally at the center of these 17 global goals, aimed to transform the world by 2030. Specifically, Goal 3 endeavors to "Ensure healthy lives and promote well-being for all at all ages." It acknowledges that health is pivotal to human life quality, social cohesion, and sustainable development. Inextricably linked to this are the complexities of population dynamics, including growth rates, age structure, fertility and mortality rates, and migration patterns.

With the world's population projected to exceed 9.7 billion by 2050, the pressure on health systems will undoubtedly escalate. The demographic transition, with an aging population and an increasing prevalence of non-communicable diseases, poses new challenges for health systems globally. Additionally, areas with high fertility rates often overlap with extreme poverty, resulting in heightened health risks, including higher maternal and child mortality rates, malnutrition, and infectious diseases.

Moreover, rapid urbanization and migration present both opportunities and threats to health. While urban areas may provide better access to healthcare, they also harbor risks of disease transmission, air and water pollution, and social determinants of health like inadequate housing and social inequality. Simultaneously, migrants often face disproportionate health risks due to unstable living conditions, exploitation, and limited access to healthcare services.

Achieving the SDGs will necessitate comprehensive approaches that consider the intricate interplay of health and population dynamics. It means strengthening health systems, promoting universal health coverage, and addressing social determinants of health. It also implies crafting policies that recognize demographic realities and foster an environment conducive to sustainable development. Only by understanding and harnessing these dynamics can the world meaningfully progress towards realizing the SDGs, ensuring healthy lives and well-being for all.

This study supports SDG 3 and 10 by highlighting an overrepresentation of Black children and adolescents in involuntary psychiatric hospitalisations, which may establish potentially lifelong negative mental health treatment trajectories and contribute to cycles of health inequality that persist in later life.
This study supports SDGs 3 and 10 by investigating the role of genetic ancestry in ethnic disparities in type 2 diabetes, and interactions with socioeconomic deprivation. The effects of environmental risk factors were found to differ among ancestry groups, suggesting the need for group-specific interventions.
Elsevier,

Vascular Disease in Women, An Overview of the Literature and Treatment Recommendations, 2021, Pages 307-338

This chapter addresses SDG 3 and SDG 10 by discussing how to mitigate racial disparities in vascular care.

Stroke (Seventh Edition): Pathophysiology, Diagnosis, and Management, 2022, Pages 179-186.e3

This chapter advances the UN SDG Goal 3: Good Health and Goal 10: Reduced Inequalities by examining the evidence that lower socioeconomic status is associated with both higher incidence of stroke and worse outcomes following stroke.
Elsevier,

Zika Virus Biology, Transmission, and Pathology Volume 1: The Neuroscience of Zika 2021, Pages 43-54

This book chapter advances SDG3 Good Health and Wellbeing and SDG 10 Reducing Inequalities by focusing on the social inequalities in the occurrence of Zika virus (ZIKV) infection and congenital Zika syndrome (CZS).
This book chapter advances SDG3 Good Health and Wellbeing and SDG10 Reducing Inequalities by focusing on the he use of wearable devices for disabled and extreme sports.
An article on dementia risk factors, in the context of SDG 3, focusing specifically on the association between common infections and dementia.
An article on cognitive assessment in dementia, in the context of SDG 3, focusing specifically on the predictive accuracy of alternative definitions of cognitive impairment.
A Comment on mental health data, in the context of SDG 3, focusing specifically on sharing of data between data custodians and researchers in the UK.
A Comment on Alzheimer's disease plaques, in the context of SDG 3, focusing specifically on donanemab and its target.

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