Robert S. Stawski

Appraisals of daily stressors (e.g., daily stressor control) have been theorized to be associated with better short-term and long-term health and well-being. Although daily stressor control has been identified as a resource for buffering same-day and next-day affective responses to daily stressors, little work has explored associations across type of daily stressor. As such, the current study aimed to understand the potential protective utility of perceived stressor control for daily stressor-affect associations. Using the National Study of Daily Experiences (NSDEIII; n = 1,263, Mage = 62.62, 57.20% women), two-level multilevel models revealed a protective pattern where stressor control was associated with dampened affective response to daily stressors, particularly for interpersonal stressors (ps < .05). On days when people perceived more control over their arguments or avoided arguments participants exhibited less negative and positive affective reactivity compared to days with less perceived control. Perceived control over daily interpersonal and home stressors were associated with dampened negative and positive affective reactivity, respectively. Results underscore the importance of perceived stressor control for interpersonal and home stressors and the utility of perceived control as a protective factor for the more immediate/same day effects of daily stress. Individuals may aim to leverage resources (e.g., social support, active coping) to feel more in control of their own daily interpersonal stress.

Background: Companies in the Health and Life Insurance space are increasingly turning to digital tools to promote healthier behaviours among their user base and reduce future health risks. This approach shifts insurers’ role from passive underwriters to partners in health management. These tools, often smartphone or wearable-tracker-based, enable real-time monitoring of behaviours (such as physical activity or meditation), providing fruitful targets for behavioural change interventions. Gamification, a Behavioural Change Technique with rich theoretical backing, is increasingly used in this context; however, despite its theoretical promise, current evidence remains mixed, and makes it hard to disambiguate its effect compared to more isolated financial incentives, the extent to which initial effects may be sustained over time, and how such changes in behaviour potentially translate to downstream health risk reductions. Objective: This 9-month parallel-group, open-label Randomised Controlled Trial was designed to assess the causal impact of gamification in promoting health behaviours, independent of financial incentivisation. This was conducted in a real-world workplace setting, involving a cohort of participants using the YuLife Health and Wellbeing app, provided within an employer-sponsored group cover setting. Methods: For the purposes of the RCT, the app was adapted such that gamification features could be turned on or off in a controlled manner, and in-app rewards in the form of “YuCoin” were adjusted between treatment groups to account for the effect of financial incentives. Following a baseline phase involving acquisition of baseline step estimates and questionnaire data, 1,288 participants – recruited from a number of companies partnered with YuLife, spanning various sectors – were randomised to gamified versus non-gamified versions of the app using stratified block-randomisation, and evaluated at specific milestones over a 9-month period, to enable comparison of short-term to long-term outcomes. The primary outcomes assessed were absolute differences in mean daily step count and engagement with the YuLife app. The data were analysed using Linear Mixed-Effects Models (LMMs). Additionally, a Cox Proportional Hazards model fitted to UK Biobank data was used to map step differences directly onto downstream health risks, and reductions were evaluated using an LMM. Further secondary outcomes (such as smoking and alcohol consumption) were also evaluated using non-parametric statistics. Results: Compared with control, the gamified intervention was associated with greater mean daily steps throughout the study, with month × intervention interaction effects reaching one-sided 5% significance at months 3 (β=473.84, p=0.027), 5 (β=626.54, p=0.006), and 9 (β=480.91, p=0.033). Additionally, strong seasonal effects were identified, with fewer steps in Autumn (β≈−943.50, pTrial Pre-registration: https://osf.io/926pd

Chronic health conditions impose substantial financial and operational burdens on the public health sector and insurance providers in the United Kingdom. While gamification demonstrates the potential for enhancing health behavior, a structured analysis linking to established behavioral frameworks is missing. We provide a viewpoint on whether, as health and life insurers transition from traditional risk assessment toward proactive risk reduction strategies, gamification offers an innovative mechanism to strengthen their prevention initiatives and insurer-insured relationships. We examine how gamification aligns with key theoretical models, including the Behavior Change Wheel and Behavior Change Techniques, and how gamification elements can be mapped onto them. This enables combining multiple Behavior Change Techniques into effective interventions, which provide engaging user experiences and promote intrinsic motivation. We distinguish gamification from mere incentivization, highlighting its potential for sustained health outcomes. We also explore the ethical and practical considerations of gamification in the insurance sector. We highlight the need for a robust ethical framework that preserves an individual’s ability to make free and informed decisions, while ensuring inclusivity and absence of discrimination based on personal characteristics that may affect their capacity to engage in healthy behaviors. Similarly, we highlight how privacy, transparency, and accountability need to be prioritized in the governance structure of gamification programs in the sector. Our analysis emphasizes that gamification has the potential to represent the new panacea for the insurance sector, if effective gamified interventions incorporate inclusive design principles, theoretical grounding, ethical accountability, and continuous refinement to ensure alignment with long-term public and individual health objectives. This viewpoint is the first to map gamification and behavioral change frameworks into a unified model for insurer-led health behavior interventions and encourage greater investment in gamified wellness products and the use of theory-driven behavioral science in insurance-led digital health tools.

Trial-to-trial variability in response times (RT inconsistency; RTI) has emerged as an important dimension of performance for characterizing cognitive function and cognitive status. The present study explores whether (a) RT inconsistency is associated with attention switching performance between-persons and within-persons over time, (b) RTI-attention switching associations differ as a function of cognitive impairment status, and (c) RTI-attention switching associations change longitudinally over 4 years. A sample of 304 adults (64-92 years) at baseline completed measures of attention switching and a 1-back choice response time task weekly for 4-5 weeks, repeating this protocol and a basic neuropsychological assessment annually for 4 years. Three cognitive status subgroups were identified at baseline: healthy controls (HC), as well as cognitive impairment-no dementia (CIND) status based upon single (CIND-S) and multiple (CIND-M) domains. Greater RTI was associated with significantly slower attention switching performance between-persons and within-persons over time. Importantly, RTI-attention switching associations were specific to individuals exhibiting cognitive impairment. Specifically, within-person associations were evident among CIND-M participants, while between-person associations emerged for CIND-S and CIND-M participants. RTI-attention switching associations did not reliably change over time. All associations were independent of age, education, chronic health conditions, and mean RT. RTI confers a unique information about cognitive function and status and holds promise as a functional indicator of pathological cognitive aging. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Background: Modern psychology has long recognized that understanding human behavior requires knowledge about a person’s current context, which is often examined through daily diary studies. These studies offer ecologically valid insights into how everyday experiences—particularly stressors—affect health and well-being. The National Study of Daily Experiences (NSDE) addresses a critical gap by applying this approach in a large, longitudinal, and publicly accessible study that captures daily life across adulthood. Objective: The NSDE is the largest and longest-running publicly accessible daily diary study in the United States. The purpose of this paper is to provide a guide for researchers interested in initiating similar naturalistic studies and to facilitate research using the existing NSDE data. Methods: The NSDE includes 3510 adults (aged 24-97 years), yielding over 42,000 days of information to capture how daily life changes with age, over time, and across different cohorts, and how these daily experiences predict later health and well-being. This intensive longitudinal dataset includes an 8-day daily diary collected via phone survey, spans more than 20 years, and consists of 2 longitudinal datasets. During the daily phone interviews, participants provide reports of their experiences regarding daily events, including their stressors (Daily Inventory of Stressful Events), as well as their physical health indices, emotional experiences, and cognitive health. In addition, saliva is collected concurrently with days 2-5 of the daily phone interviews (4 collections per day for 4 consecutive days) and is used to measure biomarkers such as cortisol and alpha amylase. Results: Recruitment began in 1995, with data collection occurring every 9-10 years. The most recent data collection is ongoing through 2027. All NSDE data are housed under the Midlife in the United States (MIDUS) study umbrella, with archived and updated datasets made available to the public on the online portal, MIDUS Colectica. Conclusions: Results from the NSDE have refined our understanding of daily stress processes. The study’s timescale has provided insight into daily life for hundreds of studies, yet much more can be learned from using these data. Microlongitudinal measures and combinations of factors provide for new avenues of research and promise for better understanding of health and aging. Moreover, NSDE data can be combined with datasets from neuroscience, biomarker, and macrolongitudinal subprojects from MIDUS to examine health-related processes. In addition to offering information on how to use the NSDE, this protocol serves as a resource for secondary data analyses and an outline for investigators wishing to replicate an intensive assessment design to other populations and research questions to continue to refine our understanding of how daily stress processes influence health and well-being. International Registered Report Identifier (IRRID): DERR1-10.2196/76453

BACKGROUND Modern psychology has long recognized that understanding human behavior requires knowledge about a person’s current context, which is often examined through daily diary studies. These studies offer ecologically valid insights into how everyday experiences—particularly stressors—affect health and well-being. The National Study of Daily Experiences (NSDE) addresses a critical gap by applying this approach in a large, longitudinal, and publicly accessible study that captures daily life across adulthood. OBJECTIVE The NSDE is the largest and longest-running publicly accessible daily diary study in the United States. The purpose of this paper is to provide a guide for researchers interested in initiating similar naturalistic studies and to facilitate research using the existing NSDE data. METHODS The NSDE includes 3510 adults (aged 24-97 years), yielding over 42,000 days of information to capture how daily life changes with age, over time, and across different cohorts, and how these daily experiences predict later health and well-being. This intensive longitudinal dataset includes an 8-day daily diary collected via phone survey, spans more than 20 years, and consists of 2 longitudinal datasets. During the daily phone interviews, participants provide reports of their experiences regarding daily events, including their stressors (Daily Inventory of Stressful Events), as well as their physical health indices, emotional experiences, and cognitive health. In addition, saliva is collected concurrently with days 2-5 of the daily phone interviews (4 collections per day for 4 consecutive days) and is used to measure biomarkers such as cortisol and alpha amylase. RESULTS Recruitment began in 1995, with data collection occurring every 9-10 years. The most recent data collection is ongoing through 2027. All NSDE data are housed under the Midlife in the United States (MIDUS) study umbrella, with archived and updated datasets made available to the public on the online portal, MIDUS Colectica. CONCLUSIONS Results from the NSDE have refined our understanding of daily stress processes. The study’s timescale has provided insight into daily life for hundreds of studies, yet much more can be learned from using these data. Microlongitudinal measures and combinations of factors provide for new avenues of research and promise for better understanding of health and aging. Moreover, NSDE data can be combined with datasets from neuroscience, biomarker, and macrolongitudinal subprojects from MIDUS to examine health-related processes. In addition to offering information on how to use the NSDE, this protocol serves as a resource for secondary data analyses and an outline for investigators wishing to replicate an intensive assessment design to other populations and research questions to continue to refine our understanding of how daily stress processes influence health and well-being. CLINICALTRIAL INTERNATIONAL REGISTERED REPORT DERR1-10.2196/76453

Background: Personalized approaches to behavior change to improve mental and physical health outcomes are needed. Reducing the intensity, duration, and frequency of stress responses is a mechanism for interventions to improve health behaviors. We developed an ambulatory, dynamic stress measurement approach that can identify personalized stress responses in the moments and contexts in which they occur; we propose that intervening in these stress responses as they arise (ie, just in time; JIT) will result in positive impacts on health behaviors. Objective: This study aims to (1) use an experimental medicine approach to evaluate the impact of a smartphone-delivered JIT stress management intervention on the frequency and intensity of person-specific stress responses (ie, stress reactivity, nonrecovery, and pileup); (2) evaluate the impact of the JIT intervention on the enactment of health behaviors in everyday life (physical activity and sleep); and (3) explore whether changes in stress responses mediate the interventions’ effects on health behaviors. Methods: In a 2-arm phase 2 clinical trial, we will enroll 210 adults in either a JIT stress management intervention or an active control condition. For 4 weeks, participants will complete 8 brief smartphone surveys each day and wear devices to assess sleep and physical activity. After a 1-week run-in period, participants will be randomized into the JIT intervention or an active control condition for 2 weeks. Participants in the JIT intervention will receive very brief stress management activities when reporting greater than typical stress responses, whereas control participants will receive no personalized stress management activities. Participants enrolled in both conditions will engage in self-monitoring for the entire study period and have access to a general stress management education module. Self-report outcomes will be assessed again 1 month after the intervention. We will use mixed-effects models to evaluate differences in person-specific stress responses between the intervention and control groups. We will conduct parallel analyses to evaluate whether the intervention is associated with improvement in health behavior enactment (ie, sleep and physical activity). The Pennsylvania State University Institutional Review Board approved all study procedures (STUDY00012740). Results: Initial participant recruitment for the trial was initiated on August 15, 2022, and enrollment was completed on June 9, 2023. A total of 213 participants were enrolled in this period. Data are currently being processed; analyses have not yet begun. Conclusions: We anticipate that this research will contribute to advancing stress measurement, thereby enhancing understanding of health behavior change mechanisms and, more broadly, providing a conceptual roadmap to advance JIT interventions aimed at improving stress management and health behaviors. Trial Registration: Clinicaltrials.gov NCT05502575; https://clinicaltrials.gov/study/NCT05502575 International Registered Report Identifier (IRRID): DERR1-10.2196/58985

BACKGROUND Personalized approaches to behavior change to improve mental and physical health outcomes are needed. Reducing the intensity, duration, and frequency of stress responses is a mechanism for interventions to improve health behaviors. We developed an ambulatory, dynamic stress measurement approach that can identify personalized stress responses in the moments and contexts in which they occur; we propose that intervening in these stress responses as they arise (ie, just in time; JIT) will result in positive impacts on health behaviors. OBJECTIVE This study aims to (1) use an experimental medicine approach to evaluate the impact of a smartphone-delivered JIT stress management intervention on the frequency and intensity of person-specific stress responses (ie, stress reactivity, nonrecovery, and pileup); (2) evaluate the impact of the JIT intervention on the enactment of health behaviors in everyday life (physical activity and sleep); and (3) explore whether changes in stress responses mediate the interventions’ effects on health behaviors. METHODS In a 2-arm phase 2 clinical trial, we will enroll 210 adults in either a JIT stress management intervention or an active control condition. For 4 weeks, participants will complete 8 brief smartphone surveys each day and wear devices to assess sleep and physical activity. After a 1-week run-in period, participants will be randomized into the JIT intervention or an active control condition for 2 weeks. Participants in the JIT intervention will receive very brief stress management activities when reporting greater than typical stress responses, whereas control participants will receive no personalized stress management activities. Participants enrolled in both conditions will engage in self-monitoring for the entire study period and have access to a general stress management education module. Self-report outcomes will be assessed again 1 month after the intervention. We will use mixed-effects models to evaluate differences in person-specific stress responses between the intervention and control groups. We will conduct parallel analyses to evaluate whether the intervention is associated with improvement in health behavior enactment (ie, sleep and physical activity). The Pennsylvania State University Institutional Review Board approved all study procedures (STUDY00012740). RESULTS Initial participant recruitment for the trial was initiated on August 15, 2022, and enrollment was completed on June 9, 2023. A total of 213 participants were enrolled in this period. Data are currently being processed; analyses have not yet begun. CONCLUSIONS We anticipate that this research will contribute to advancing stress measurement, thereby enhancing understanding of health behavior change mechanisms and, more broadly, providing a conceptual roadmap to advance JIT interventions aimed at improving stress management and health behaviors. CLINICALTRIAL Clinicaltrials.gov NCT05502575; https://clinicaltrials.gov/study/NCT05502575 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/58985

Objectives: Caregiving dynamics may shape caregivers’ views on their own aging in ways that affect their (de)motivation to improve their current and future health and well-being. In this study, we investigated within-person associations of daily positive and negative caregiving appraisals, future self-views (physical functioning, cognitive, and overall health domains), and physical activity goal pursuit among adult-daughter dementia caregivers. Methods: Data came from 33 middle-aged caregivers (M = 55.03) who participated in a 30-day microlongitudinal study of caregiving (N of occasions = 855). We used multilevel modeling to analyze within-person associations. Results: Daily positive caregiving appraisals were not associated with daily future self-views. However, on days when caregivers reported higher negative caregiving appraisals, they thought more negatively about their future older selves in all domains. In turn, on days when caregivers thought more negatively about their future older selves in all domains, they reported lower physical activity goal pursuit. Future self-views in all domains mediated the association between negative caregiving appraisals and physical activity goal pursuit. Future self-views did not mediate the association between positive caregiving appraisals and physical activity goal pursuit. However, cognitive future self-views moderated the association between positive caregiving appraisals and physical activity goal pursuit. Discussion: Results suggest that one pathway through which subjective caregiving experiences, especially negative caregiving appraisals, affect caregivers’ physical activity goal pursuit is through future self-views. Thus, this study offers a deeper theoretical understanding of caregivers’ self-regulatory health behavior and new empirical information on how caregiving might affect life-span developmental motivation.

The current study examines daily stress processes as risk factors for comprised mental health in midlife and later life, specifically for gender differences in depression risk. Using data from the Midlife in the United States (MIDUS) study and the National Study of Daily Experiences (NSDE), we examine (1) gender differences in depression; (2) the prospective effects of differential exposure and affective responses on 10-year depression status; (3) gender differences in daily stress-depression links. Furthermore, we explore whether the protective factor of help-seeking behavior moderates the effects of daily stress on depression. Participants included 1289 (mage = 55; SD = 12; range = 34–83; 56% female) individuals who completed the second waves of MIDUS and the 8-day NSDE daily diary protocol and participated in the third wave of MIDUS approximately 10 years later. Respondents completed assessments of depression and their seeking assistance from a psychiatrist, mental health professional, counselor, or religious leader. Covariate-adjusted logistic regression analyses revealed increased odds of depression among women compared to men, but no significant gender difference after taking daily stress into account. Higher levels of stressor exposure, negative affect, and affective reactivity were associated with increased odds of depression for both men and women. Compared to those who did not engage in help-seeking behavior, those who did had significantly greater odds of depression, and there were asymmetric patterns of daily stress effects across groups. These findings highlight differential exposure, negative affect, and affective responses to daily stress as potentially accessible intervention targets for reducing stress in daily life and mitigating longer-term depression risk during mid- and later life.