The critical inquiry is how Pacific communities themselves characterize mental distress as a result of climate change. If not solastalgia, what more suitable terms might they use? This viewpoint article aims to initiate a discourse using solastalgia as the focus for the Pacific by 1. providing a definition of solastalgia; 2. examining its application in Pacific research; 3. presenting limitations of solastalgia; and 4. assessing its appropriateness for Pacific communities. There is a dearth of research using solastalgia, particularly within Pacific communities. The Pacific region’s diverse contexts may already possess terms that effectively convey place-based distress that solastalgia attempts to describe. However, the authors found that solastalgia holds limited utility in the Pacific region, primarily based on a review of the literature, which involved keyword searches in Google Scholar such as solastalgia, mental health, mental distress, wellbeing, climate change, environmental distress, displacement, and Indigenous and Pacific peoples. More importantly, the concept is limited in capturing Pacific experiences of land loss due to climate change events, particularly, as the Pacific imbues land with profound significance, intertwined with culture, identity, and wellbeing. Land loss equates to a loss of culture, identity, wellbeing, and kinship in most Pacific contexts. It is apparent that broader and more holistic approaches are required.

The influence of global climate change on temperature-related health outcomes among vulnerable populations, particularly young children, is underexplored. Using a case time series design, we analysed 647,000 hospital admissions of children aged under five years old in New Zealand, born between 2000 and 2019. We explored the relationship between daily maximum temperatures and hospital admissions across 2139 statistical areas. We used quasi-Poisson distributed lag non-linear models to account for the delayed effects of temperature over a 0–21-day window. We identified broad ICD code categories associated with heat before combining these for the main analyses. We conducted stratified analyses by ethnicity, sex, and residency, and tested for interactions with long-term temperature, socioeconomic position, and housing tenure. We found J-shaped temperature–response curves with increased risks of hospital admission above 24.1 °C, with greater sensitivity among Māori, Pacific, and Asian compared to European children. Spatial–temporal analysis from 2013–2019 showed rising attributable fractions (AFs) of admissions associated with increasing temperatures, especially in eastern coastal and densely populated areas. Interactive maps were created to allow policymakers to prioritise interventions. Findings emphasize the need for child-specific and location-specific climate change adaptation policies, particularly for socioeconomically disadvantaged groups.