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.

Background: Stay-at-home orders (lockdowns) have been deployed globally to control COVID-19 transmission, and might impair economic conditions and mental health, and exacerbate risk of food insecurity and intimate partner violence. The effect of lockdowns in low-income and middle-income countries must be understood to ensure safe deployment of these interventions in less affluent settings. We aimed to determine the immediate impact of COVID-19 lockdown orders on women and their families in rural Bangladesh.
Background: Stay-at-home orders (lockdowns) have been deployed globally to control COVID-19 transmission, and might impair economic conditions and mental health, and exacerbate risk of food insecurity and intimate partner violence. The effect of lockdowns in low-income and middle-income countries must be understood to ensure safe deployment of these interventions in less affluent settings. We aimed to determine the immediate impact of COVID-19 lockdown orders on women and their families in rural Bangladesh.
It has recently been proposed that short-term memory (STM) binding deficits might be an important feature of Alzheimer's disease (AD), providing a potential avenue for earlier detection of this disorder. By contrast, work in Parkinson's disease (PD), using different tasks, has suggested that the STM impairment in this condition is characterised by increased random guessing, possibly due to fluctuating attention.
This study explored an established primary care–based dementia pathway in New Zealand (NZ) and nurse practitioner dementia diagnosis and care in 1 small United States state that has adopted a value-based delivery model. Central to the NZ model was the education of primary care providers, clear delineation of specialists’ support and referral pathways, and routine and predictable family carer respite. The US respondents reported that the essential resources necessary to support the diagnosis and management of dementia were lacking.
In April, 2019, the Alzheimer's Association Dementia Care Provider Roundtable convened to discuss common challenges faced when implementing person-centered, non-pharmacological practices in long-term care and other settings that provide care and programs for persons living with dementia, and to develop relevant, specific guidance from the perspective of administrative leaders from 23 long-term and community-based care provider organizations (representing home, community-based, and residential care).
Alzheimer's disease is a progressive neurodegenerative disorder. In this disease neurodegeneration occurs due to deposition of aggregated amyloid-beta plaques and neurofibrillary tangles (hyperphosphorylated tau proteins). Present study focuses on interaction of different phytochemicals with presenilin stabilization factor like protein (PSFL). PSFL protein is known to stabilize Presenilin, which is mainly involved in intramembrane hydrolysis of selected type- I membrane proteins, including amyloid-beta precursor protein, and produces amyloid-beta protein.
Elsevier, EClinicalMedicine, Volume 28, November 2020
Background: The aim of this study is to use classification methods to predict future onset of Alzheimer's disease in cognitively normal subjects through automated linguistic analysis. Methods: To study linguistic performance as an early biomarker of AD, we performed predictive modeling of future diagnosis of AD from a cognitively normal baseline of Framingham Heart Study participants. The linguistic variables were derived from written responses to the cookie-theft picture-description task.
Elsevier, Forensic Science International: Mind and Law, Volume 1, November 2020
Elsevier, Forensic Science International: Mind and Law, Volume 1, November 2020

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