An Integrated Analysis of Social, Economic, and Environmental Indicators’ Effects on Public Health and Health Inequality Globally: From the Perspective of Vulnerability

Yang, Xinya; Geng, Liuna

doi:10.1007/s11205-022-02877-x

Cited by 9 publications

(9 citation statements)

References 51 publications

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“…These studies have shown that animals in lower hierarchical positions or with restricted access to resources exhibit higher levels of stress and are more prone to engage in drug-seeking behaviors. This mirrors findings in human populations, where individuals facing economic hardship and social marginalization are at a higher risk for developing addiction [59,60].…”

Section: Economic and Social Inequality Addiction Risk Factorssupporting

confidence: 72%

Bridging Species and Disciplines: Incorporating Sociological Frameworks into Animal Models of Addiction

Fields

2024

Multidisciplinary Approach for Better Understanding of Addictive Behaviour [Working Title]

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This chapter explores the integration of sociological concepts and frameworks into animal models of addictive behaviors, aiming to enhance cross-species validity and deepen understanding of addiction’s multifaceted biopsychosocial roots. Through an interdisciplinary approach merging sociology and behavioral neuroscience, the investigation examines how experiences of discrimination and constrained agency may contribute to addiction vulnerability. Specifically, chronic social defeat stress’s impact on drug-seeking behaviors is explored, drawing parallels between rodent models and human experiences of racial battle fatigue resulting from daily racial microaggressions. The chapter also delves into how lack of autonomy, social isolation, and perceived loss of control due to discrimination may precipitate substance use as a coping mechanism. Additionally, the influence of social hierarchies, bonding patterns, and intergenerational epigenetic effects on resilience versus susceptibility to addiction is considered. Current methodologies are critically evaluated, with a proposal to enhance ecological validity in animal experiments to better simulate nuanced sociocultural stressors associated with addiction risk. Emphasizing the urgent need for cross-disciplinary collaborations between rodent researchers and social scientists, the chapter advocates for the incorporation of relevant sociological concepts into behavioral assays. Ultimately, the integration of diverse perspectives is crucial for comprehensively addressing the psychosocial and neurobiological dynamics underlying addiction across mammalian species and for developing more effective and equitable prevention and treatment approaches.

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Section: Economic and Social Inequality Addiction Risk Factorssupporting

confidence: 72%

Bridging Species and Disciplines: Incorporating Sociological Frameworks into Animal Models of Addiction

Fields

2024

Multidisciplinary Approach for Better Understanding of Addictive Behaviour [Working Title]

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“…However, accurately quantifying social vulnerability remains a challenge, and the COVID-19 pandemic has highlighted a critical need to identify those most eligible and provide support to mitigate risks, such as understanding the relationship between social vulnerability and SARS-CoV-2 incidence. It is critical to understand the interplay between social determinants and implement risk mitigation guidelines that can reduce the spread of infectious diseases [21,22].…”

Section: Construction Of the Potential Epidemic Vulnerability Indexmentioning

confidence: 99%

Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region

2023

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Background: COVID-19 is a significant public health problem that can have a negative impact, especially in vulnerable regions. Objective: This study aimed to provide evidence that could positively influence coping with COVID-19 based on the relationship between the potential epidemic vulnerability index (PEVI) and socioepidemiological variables. This could be used as a decision-making tool for the planning of preventive initiatives in regions with relevant vulnerability indices for the spread of SARS-CoV-2. Methodology: We performed a cross-sectional study, with the analysis of the population characteristics of COVID-19 cases associated with neighborhoods’ PEVIs in the conurbation region of Crajubar, northeastern Brazil, through the mapping of socioeconomic–demographic factors and spatial autocorrelation. Results: The PEVI distribution indicated low vulnerability in areas with high real estate and commercial value; as communities moved away from these areas, the vulnerability levels increased. As for the number of cases, three of the five neighborhoods with a high–high autocorrelation, and some other neighborhoods showed a bivariate spatial correlation with a low–low PEVI but also high–low with indicators that make up the PEVI, representing areas that could be protected by public health measures to prevent increases in COVID-19 cases. Conclusions: The impact of the PEVI revealed areas that could be targeted by public policies to decrease the occurrence of COVID-19.

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“…The second category is social factors, where socioeconomic factors are considered fundamental factors affecting health inequalities [ 38 ]. The impact of different socioeconomic conditions on health inequalities has been demonstrated, and it has been found that increased income disparity leads to unhealthy habits, lack of material resources, and shortage of social capital in low-income groups [ 39 , 40 ], and negative emotions such as depression and loneliness in low-income groups also increase with age [ 41 , 42 ].…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

“Digital Dividend” or “Digital Divide”: What Role Does the Internet Play in the Health Inequalities among Chinese Residents?

Zhang

Jiao

et al. 2022

IJERPH

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With the vigorous development of the medical industry in China, residents’ health has been significantly improved. However, along with the income gap, urban–rural gap, and healthcare resource gap caused by economic development, health inequality has become a fundamental barrier to the promotion of residents’ health. The popularity of the Internet has helped close the gap to some extent, but it also has drawbacks. Using data from the China Family Panel Studies (CFPS) from 2014 to 2018, we evaluated the effects of Internet usage on health disparities among residents using fixed effect models, mediation effect models, and other methodologies. The findings indicate that Internet usage can help to minimize health inequality since it lowers income inequality, promotes health consciousness, and reduces depression. Furthermore, Internet usage plays a greater role on the health improvement of the middle-aged, the elderly, urban residents, and females. Although the Internet has brought “digital dividends” in general, the Internet usage rates among different groups also reveal that there is a clear “digital gap” among rural residents, elderly groups, and low-income groups. These results have significant implications for promoting healthcare equality.

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An Integrated Analysis of Social, Economic, and Environmental Indicators’ Effects on Public Health and Health Inequality Globally: From the Perspective of Vulnerability

Cited by 9 publications

References 51 publications

Bridging Species and Disciplines: Incorporating Sociological Frameworks into Animal Models of Addiction

Bridging Species and Disciplines: Incorporating Sociological Frameworks into Animal Models of Addiction

Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region

“Digital Dividend” or “Digital Divide”: What Role Does the Internet Play in the Health Inequalities among Chinese Residents?

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