Health and wellbeing

Health and well-being have a central role in the 17 Sustainable Development Goals (SDGs) endorsed by the United Nations, emphasizing the integral part they play in building a sustainable future. The third SDG explicitly calls for ensuring healthy lives and promoting well-being for all at all ages. This goal encompasses a wide range of health objectives, from reducing maternal and child mortality rates, combatting disease epidemics, to improving mental health and well-being. But beyond SDG 3, health is intrinsically linked with almost all the other goals.

When addressing SDG 1, which aims to end poverty, one cannot neglect the social determinants of health. Economic hardship often translates into poor nutrition, inadequate housing, and limited access to health care, leading to a vicious cycle of poverty and poor health. Similarly, achieving SDG 2, ending hunger, also contributes to better health through adequate nutrition, essential for physical and mental development and the prevention of various diseases.

Conversely, the repercussions of climate change, encapsulated in SDG 13, profoundly impact health. Rising global temperatures can lead to increased spread of infectious diseases, compromised food and water supplies, and increased frequency and intensity of extreme weather events, all posing severe health risks. Conversely, the promotion of good health can also mitigate climate change through the reduction of carbon-intensive lifestyles and adoption of healthier, more sustainable behaviors.

SDG 5, advocating for gender equality, also has substantial health implications. Ensuring women's access to sexual and reproductive health services not only improves their health outcomes, but also contributes to societal and economic development. Furthermore, achieving SDG 4, quality education, is also critical for health promotion. Education fosters health literacy, empowering individuals to make informed health decisions, hence improving overall community health.

Lastly, SDG 17 underlines the importance of partnerships for achieving these goals. Multi-sector collaboration is vital to integrate health considerations into all policies and practices. Stakeholders from various sectors, including health, education, agriculture, finance, and urban planning, need to align their efforts in creating sustainable environments that foster health and well-being.

Hence, the relationship between health, well-being, and the SDGs is reciprocal. Improving health and well-being helps in achieving sustainable development, and vice versa. In this context, health and well-being are not just outcomes but are also powerful enablers of sustainable development. For the world to truly thrive, it must recognize and act upon these interconnections.

Changes in β-amyloid (Aβ) and hyperphosphorylated tau (T) in brain and cerebrospinal fluid (CSF) precede Alzheimer's disease (AD) symptoms, making the CSF proteome a potential avenue to understand disease pathophysiology and facilitate reliable diagnostics and therapies. Using the AT framework and a three-stage study design (discovery, replication, and meta-analysis), we identified 2,173 analytes (2,029 unique proteins) dysregulated in AD. Of these, 865 (43%) were previously reported, and 1,164 (57%) are novel.
The article discusses advancements in using 3D models and human iPSC-derived microglia to study neurodevelopment and neurological disorders, highlighting their potential for understanding brain development, microglial functions, and disease mechanisms. It also explores various models, including organoids and xenotransplantation, and their applications in studying conditions like Alzheimer’s, Parkinson’s, and autism.
This systematic review examined the relationship between cognition and motor speech production in healthy older adults and those with mild cognitive impairment, analyzing 22 studies with 747 participants. Findings suggest that cognitive functions, particularly attention and executive abilities, are linked to motor speech performance, though evidence quality varies and gaps remain.
The article discusses the role of gut dysbiosis, bacterial amyloids, and metabolic diseases in the development and progression of Alzheimer's disease (AD). It highlights the bidirectional relationship between the gut microbiome, inflammation, and metabolic disorders, and how these interconnected pathways contribute to neurodegeneration. The review explores potential therapeutic strategies targeting the gut-brain-metabolic axis to mitigate AD progression.
Real-world evidence can supplement clinical trial data to optimize Alzheimer’s disease care by aiding early patient identification and assessing drug effectiveness and safety in everyday use in diverse clinical settings/populations. This information helps inform clinical practice guidelines and supports the development of tools for timely diagnosis and personalized treatment strategies.
 Empirical evidence on cognitive function and its association with demographic, socioeconomic, health and behavioural factors among older adults in rural Bangladesh.
The article provides a comprehensive review of the role of semaphorin 3A (Sema3A) in the pathogenesis and progression of Alzheimer's disease and other aging-related diseases. It discusses the expression patterns and mechanisms of action of Sema3A in various age-related disorders, including its involvement in oxidative stress, inflammatory responses, apoptosis, and synaptic plasticity.

The article examines the relationship between falls, chronic pain, and frailty among middle-aged and older adults in Yunnan Province, China, with a focus on ethnic minority populations.

Elsevier,

 

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Despite global progress, maternal mortality remains high, especially in sub-Saharan Africa, highlighting the urgent need for strong leadership, increased investment in well-trained midwives, and equitable, culturally sensitive maternity care to achieve the Sustainable Development Goal of reducing maternal deaths to less than 70 per 100,000 live births by 2030.

This study identified over 2,000 proteins in cerebrospinal fluid that change at different stages before Alzheimer's symptoms appear, revealing key biological processes involved in the disease. Using machine learning, the researchers developed highly accurate models to predict Alzheimer's biomarker status, clinical diagnosis, and future disease progression.

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