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The 2024 U.S. election will shape the future of global health policy, with crucial implications for continuing U.S. leadership in global health. The United States has long played a critical role in global health governance, through multilateral institutions under the United Nations (UN) and bilateral assistance to advance U.S. priorities. However, political shifts have challenged U.S. engagement in global health, with the politicization of global health policy threatening global governance under the World Health Organization (WHO) and dividing global health support across political parties. This political polarization in global health proved catastrophic in the COVID-19 pandemic response and influential in the 2020 Presidential Elections. With the United States again seeking to advance global health policy, the 2024 Elections present a clear contrast in global health visions across U.S. political parties – with sweeping impacts on global governance, health funding, sexual and reproductive health, corporate regulations, tax equity, humanitarian challenges, and climate change. The future of U.S. leadership in global health hangs in the balance of this election, raising an imperative for candidates to highlight their global health positions and for voters to consider the global health implications. [ABSTRACT FROM AUTHOR]

Purpose: This study evaluates the changes in social networks of older and younger breast cancer patients over a 6-month period following their first diagnosis and how such modifications are associated with changes in the patients' mood state. Design and Methods: Newly diagnosed breast cancer patients were interviewed shortly after their diagnosis and again 6 months later. Female support network members enumerated by patients were interviewed once within 3 months of the patients' initial interview. Results: Findings based on information for 149 network members of 26 patients indicate that members in older ([greater than or equal to] 51 years) patients' networks were less likely to be dropped at follow-up (odds ratio [OR] = 0.21, p = .04) compared with those in younger patients' networks. Network members who provided more support were less likely to be dropped by younger patients (OR = 0.42, p < .01). Decrease in network size was associated with decrease in mood disturbances among younger patients (Profile of Mood State--Bipolar: [beta] = 0. 35, p [less than or equal to] .01). Implications: Reducing the number of network members after cancer diagnosis may not necessarily lead to psychological distress, providing support for self-regulation of social network resources among cancer patients. Older patients' network members were more embedded in patients' networks, making it more stable over time. Identifying important network members (e.g., frequent support providers for younger patients and family members for older patients) and facilitating positive social interactions between these network members and patients may be beneficial. Key Words: Social relationships, Social support, Cancer survivor, Social selectivity, Psychological adaptation