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 2011 RAD-AID Conference on International Radiology for Developing Countries discussed data, experiences, and models pertaining to radiology in the developing world, where widespread shortages of imaging services significantly reduce health care quality and increase health care disparities. This white paper from the 2011 RAD-AID conference represents consensus advocacy of multidisciplinary strategies to improve the planning, accessibility, and quality of imaging services in the developing world.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing reliable methods to quantitatively analyze the UPR and hepatic inflammation in the mouse model of NAFLD.
Following the introduction of the long-term care insurance scheme and deregulation of the market for at-home care services, Japan experienced a substantial increase in expenditure on care for the elderly. Using household-level survey data, we empirically examine whether the increase in care expenditure is associated with supplier density springing from the rise in the number of care providers following deregulation. We provide weak evidence that supplier density in the at-home care market is positively correlated with probability to use care or expenditure on care.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the role of the gastrointestinal and liver microcirculation in inflammation and immunity.
Elsevier,

Eating Behaviors, Volume 6, Issue 3, June 2005, Pages 179-187.

This research discovers gay men tend to be more dissatisfied with their bodies and may be at greater risk for symptoms of eating disorders compared to heterosexual men. This research directly contributes to SDG 3 (good health and well-being) and SDG 10 (reduced inequalities).
This chapter aligns with the SDG goal 3 of good health and wellbeing by examining viral hepatitis B and C as they pertain to the pediatric population.
Elsevier, Journal of Adolescent Health, Volume 26, April 2000
Purpose: To identify factors related to human immunodeficiency virus (HIV) antibody testing among gay, lesbian, and bisexual youth. Methods: Self-reported demographics, risk behaviors, variables related to the Health Belief Model, and HIV testing data were collected at a conference for gay youth, as well as at the Gay and Lesbian Community Center in a Southeastern metropolitan area (n = 117). Results: About one third of participating youth who reported engaging in anal and vaginal sex had done so without a condom. In addition, one in four youth reported at least one other HIV risk factor.

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