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Public Policy Implications from Research on Well-Being in Daily Life

Bibliographic Data

ID22124671
AuthorsDavid B Newman (0000-0002-1296-5817, Loma Linda University, corresponding author), Paul K Lutz (0000-0001-7608-7382, Carleton University)
Year2026
Volume13
Issue1
Pages121-128
Publication date2026-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Insights from the Behavioral and Brain Sciences (JOURNAL)
Journal identifiersISSN: 2372-7322 • E-ISSN: 2372-7330
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23727322251399160
OpenAlexW4416717161
LanguageEN
References cited44

Individual well-being often plays a role in shaping public policy, yet much of the evidence that informs decisions and policy is based on cross-sectional and experimental research that fails to account for the dynamic nature of well-being. Research that utilizes Ecological Momentary Assessment (EMA) and daily diary methods highlights how within-person variation in well-being can yield insights distinct from between-person analyses and laboratory-based designs. Highlighting distinct areas of research across domains of climate anxiety, meaning in life, values, empathy, nostalgia, and alcohol use, the review illustrates how within-person processes offer unique policy implications. Findings suggest that policies may be more effective when they account for temporal fluctuations, daily contextual factors, and differences between remembered and lived experiences. EMA research underscores the importance of tailoring interventions to specific moments, whether by supporting closer human-nature connections, fostering daily meaning-making practices, or addressing the anticipation of alcohol use. Ultimately, integrating research on dynamic states of well-being into policy may enhance both individual and societal outcomes

Evidence-based policy · Policy analysis · Policy studies · Psychological intervention · Public policy · Cognitive and psychological constructs research · Mental Health Research Topics · Nostalgia and Consumer Behavior

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