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.

The associations between traffic-related air pollution (TRAP) and numerous health effects have been established in epidemiology and emerging health effects are continuously being studied. This book synthesizes the state-of-the-art knowledge on TRAP and human health. The SDG goal 3.9.1 is to reduce the mortality rate attributed to household and ambient air pollution.
Elsevier,

Global Mental Health and Neuroethics, Volume , 16 January 2020

This chapter provides an overview of some of the ethical issues raised by the emergence of global mental health as a distinct field as well as supporting calls for a more inclusive bioethics paradigm for considering health on a global scale.
Elsevier,

Mental and Behavioral Health of Immigrants in the United States: Cultural, Environmental, and Structural Factors, Volume , 1 January 2020

The immigrant population of the United States is expected to increase over the coming years, and the constant influx of new immigrants will mix in with previous generations of immigrants. This chapter reviews current literature that proves immigrants are susceptible to various mental health conditions such as depression, anxiety, and posttraumatic stress disorder (PTSD) due to a wide array of psychological and emotional distress from the immigration and acculturation process.
This chapter explores the utility of various therapeutic modalities, including their method of delivery, in working with older adults, which can lead to better health and well-being for individuals.
The chapter provides an overview of the mechanisms and factors likely to influence mental health and access to care of ethnic minority older adults.
Mental health and human rights are both global concerns that have been shaped by two complementary discourses: the human rights of mental health patients, and mental health care as a human right. Both discourses have influenced the development of strategies to better understand and address—at a global scale—the mental health treatment gap.
Elsevier,

Mental Health in a Digital World
Global Mental Health in Practice
2022, Pages 191-206

The Internet continues to be a widely used resource to access mental health information. However, the overall low quality of online mental disorder information, with the possible exception of that for mood disorders, raises concerns that consumers may be receiving an incomplete or inaccurate picture of their disorder of interest or concern. Ongoing evaluations of website quality are needed to ensure that consumers are empowered with accurate and usable information for good health and well being.
Elsevier,

Mental Health in a Digital World
Global Mental Health in Practice
2022, Pages 109-143

Mental health problems are widely recognized as a major public health challenge worldwide. This highlights the need for effective tools for detecting mental health disorders in the population. Social media data is a promising source of information where people publish rich personal information that can be mined to extract valuable psychological information. However, social media data poses its own set of challenges, such as the specific terms and expressions used on different platforms, interactions between different users through likes and shares, and the need to disambiguate between statements about oneself and about third parties.
Elsevier,

Emerging and Reemerging Viral Pathogens, Volume 1: Fundamental and Basic Virology Aspects of Human, Animal and Plant Pathogens, 2020, Pages 127-149

This book chapter addresses goals 3, 13 and 15 by discussing the coronavirus family (Coronaviridae) as a species specificity and interspecies transmission.
Background: Metabolic syndrome is characterised by a clustering of metabolic risk factors including abdominal obesity, raised triglycerides, lowered HDL cholesterol, hypertension and impaired glucose tolerance. Multifaceted lifestyle interventions including diet and exercise are recommended as the first-line treatment for the metabolic syndrome. Objective: To investigate the effects of lifestyle interventions that include both diet interventions and supervised exercise on outcomes for people with metabolic syndrome. Methods: A systematic review and meta-regression was conducted.

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