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 Article supports SDG 3 by highlighting the importance of not just measuring life expectancy but also disability-free life expectancy as an indicator of population health, and showing that in Hong Kong, a word leader in life expectancy, there has been a trend of increasing disability burden, particularly in women. The authors discuss the public health implications of their findings.
This article supports SDG 3 by analysing associations between socioeconomic status and dementia risk, and finding that associations were more pronounced for early-onset than late-onset dementia risk.
This cross sectional study found that serum lipid levels were significantly correlated with lower-extremity function in participants with and without AD but not with gait disorder in participants with AD.
This Article supports SDG 3 by showing that there is a high global seroprevalence of HCV infection among pregnant women (estimated at 2.2–5.3 million cases worldwide), and particularly in lower-income settings. The authors suggest policy implications, such as expanding screening programmes for pregnant women and women of childbearing age, particularly in lower-income settings.
This Article supports SDG 3 by providing estimates of HIV and hepatitis C testing and treatment uptake among people who inject drugs. Data availability was variable, and where data were available, uptake was generally suboptimal, indicating a need for countries to implement targeted interventions to improved testing, linkage to care, and treatment among people who inject drugs
This content aligns with Goal 3: Good Health by exploring the systemic nature of attention-deficit hyperactivity disorder (ADHD) and its associations with other physical and mental health issues, emphasizing the need for comprehensive treatment approaches that address various underlying factors, including autonomic dysfunction and neuroinflammation. By proposing new targets for treatment, the chapter promotes a more holistic understanding of ADHD that can lead to improved health outcomes for affected individuals. Additionally, it supports Goal 10: Reduced Inequalities by highlighting the importance of recognizing and addressing the complex interplay of conditions that often accompany ADHD, ensuring that all individuals receive equitable and effective care tailored to their unique health needs, regardless of their background or circumstances.
This content aligns with Goal 3: Good Health and Wellbeing and Goal 9: Industry, Innovation, and Infrastructure by considering the neuroprotective properties of nutraceuticals such as soy, peanuts, and ginsenoside Rg1.
This content aligns with Goal 3: Good Health by exploring potential nutraceutical interventions for autism and related disorders, which can enhance therapeutic strategies and improve health outcomes for individuals affected by these conditions. By investigating the roles of various dietary and environmental factors, the study aims to provide a more nuanced understanding of autism's complex etiology, potentially leading to more effective management options. Additionally, it supports Goal 10: Reduced Inequalities by emphasizing the need for accessible and diverse treatment approaches, such as nutraceuticals, which can offer individuals and families more options for managing autism, regardless of their socioeconomic status or access to traditional healthcare resources.
This content aligns with Goal 3: Good Health and Wellbeing by explaining the different contributions to the mitochondrial toxic profile produced either by the virus or by the antiretroviral treatment.
Background: Hong Kong is among the many populations that has experienced the combined impacts of social unrest and the COVID-19 pandemic. Despite concerns about further deteriorations in youth mental health globally, few epidemiological studies have been conducted to examine the prevalence and correlates of major depressive episode (MDE) and other major psychiatric disorders across periods of population-level changes using diagnostic interviews. Methods: We conducted a territory-wide household-based epidemiological study from 2019 to 2022 targeting young people aged 15–24 years.

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