Health Psychology最新文献

Objective: This research tests whether people use more emotion-based language when communicating with one another about unhealthy foods than healthy foods. This matters because emotion-based language is more persuasive.

Method: In three observational studies, we analyzed the emotionality in 1,000 online recipe descriptions, 4,403 food reviews, and 1,184 celebrity social media posts. In two experiments (N = 398), we analyzed the emotionality when people are prompted to persuade someone to consume an unhealthy food compared with a healthy food. In one experiment (N = 192), we tested persuasiveness as a function of emotionality.

Results: Speakers use more emotionality when communicating about less healthy foods. People's tendency to focus more on long-term benefits when communicating about healthy (vs. unhealthy) foods mediated the effect of food type on emotionality. Emotionality, in turn, increases persuasiveness for healthy foods.

Conclusions: People use emotionality in communicating about unhealthy (vs. healthy) foods. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: This longitudinal study explores the relationship between illness identity and well-being in emerging adults with congenital heart disease (CHD), aiming to understand the factors contributing to well-being in individuals with CHD.

Method: Dutch-speaking emerging adults with CHD (N = 254, age range = 24-28 years) participated in a three-wave study, which is part of the I-DETACH 2 project. Cross-lagged analyses examined the directionality of effects between illness identity and well-being. Multivariate latent class growth analysis identified developmental trajectory classes of illness identity. Multigroup latent growth curve modeling investigated differences in the development of well-being among these classes.

Results: Bidirectional associations were uncovered between illness identity and well-being. For instance, acceptance predicted better quality of life and less depressive symptoms over time. Three trajectory classes of illness identity were identified: high (i.e., as compared to the sample mean) acceptance and enrichment with low rejection and engulfment (Class 1), high rejection with low levels in the other dimensions (Class 2), and high rejection and engulfment along with high enrichment and low acceptance (Class 3). Individuals in Class 3 experienced the worse well-being. In addition, individuals with complex heart defects were strongly represented in this class.

Conclusions: This study demonstrates the significance of illness identity in understanding individual differences in well-being among emerging adults with CHD. Additionally, this study provided valuable insight in the development of illness identity and its longitudinal relationship with well-being. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Side effect information is routinely communicated online. However, limited experimental evidence exists regarding the role of this information in generating maladaptive health outcomes (i.e., the nocebo effect). A novel paradigm was developed to remotely induce the nocebo effect via provision of online side effect information.

Method: Participants were given information regarding the positive effects of low frequency noise (LFN). A proportion were additionally warned of LFN-induced side effects. Study 1 (N = 423) investigated the source of information (listed vs. socially communicated side effects), while Study 2 (N = 560) investigated the role of positive and negative affects on attenuating and exacerbating the nocebo effect. Pooled analysis (N = 983) explored the effect of negative and positive expectations on both the nocebo effect and positive outcomes.

Results: Across studies, a significant nocebo effect in the warned side effects occurred after LFN exposure. This did not vary by source of information (Study 1) nor was it attenuated via the induction of positive affect (Study 2). Both studies demonstrated a reduction in positive outcomes among those receiving side effect information. Pooled analysis revealed that negative, but not positive, expectations mediated the nocebo effect. Positive and negative expectations interacted to predict positive outcomes. Holding negative expectations appeared to block positive health outcomes. Specifically, when negative expectations were above average, there was no effect of positive expectations on positive outcomes.

Conclusions: Nocebo effects were remotely generated via minimal provision of side effect information. Pooled analysis revealed that future interventions should target positive and negative expectations to reduce side effects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Optimizing multicomponent behavioral and biobehavioral interventions presents a complex decision problem. To arrive at an intervention that is both effective and readily implementable, it may be necessary to weigh effectiveness against implementability when deciding which components to select for inclusion. Different components may have differential effectiveness on an array of outcome variables. Moreover, different decision-makers will approach this problem with different objectives and preferences. Recent advances in decision-making methodology in the multiphase optimization strategy (MOST) have opened new possibilities for intervention scientists to optimize interventions based on a wide variety of decision-maker preferences, including those that involve multiple outcome variables. In this study, we introduce decision analysis for intervention value efficiency (DAIVE), a decision-making framework for use in MOST that incorporates these new decision-making methods. We apply DAIVE to select optimized interventions based on empirical data from a factorial optimization trial.

Method: We define various sets of hypothetical decision-maker preferences, and we apply DAIVE to identify optimized interventions appropriate to each case.

Results: We demonstrate how DAIVE can be used to make decisions about the composition of optimized interventions and how the choice of optimized intervention can differ according to decision-maker preferences and objectives.

Conclusions: We offer recommendations for intervention scientists who want to apply DAIVE to select optimized interventions based on data from their own factorial optimization trials. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Studies have shown that contact with friends enhances emotional health, but little is known about whether friends influence cardiovascular health. This study investigated (a) whether encounters with friends and the quality of these encounters were associated with cardiovascular reactivity in everyday life and (b) whether these associations varied by race.

Method: Participants were from the Stress and Well-being in Everyday Life Study which included Black (n = 76; aged = 34-76) and White (n = 87, aged = 34-91) adults residing in the United States. Participants provided background and social network information in a baseline interview, followed by a 4-day ecological momentary assessment in which they reported social encounters every 3 hr. Concurrently, participants wore an electrocardiogram monitor which collected physiological data in real time. To assess cardiovascular reactivity, heart rate variability (HRV) was analyzed.

Results: Multilevel models revealed that at times when individuals encountered friends (particularly positive encounters), they exhibited a momentary reduction in HRV (within-person association). But those with more friend encounters during the study period (particularly positive encounters) had higher HRV than those with fewer friend encounters during the study period (between-person association). These links were observed only among Black adults, but not among White adults.

Conclusions: This study contributes to the conceptual model of social integration and enriches the literature on racial disparities in cardiovascular health from a social perspective. Findings highlight the implications of engagement with friends for momentary cardiovascular reactivity and suggest that friends may be more salient for Black adults' cardiovascular health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: A diagnosis of chronic kidney disease (CKD) may increase the risk for depression. The network perspective focuses on dynamic relationships among individual symptoms, which could advance our understanding of the development of depression during the transition to a diagnosis of CKD. The aim of this study was to use network analysis to examine the longitudinal associations of depressive symptoms from before to after a diagnosis of CKD.

Method: The analytic sample included 1,386 participants from the Chinese Health and Retirement Longitudinal Study. Participants were aged 45 years or older and reported a doctor's diagnosis of CKD in any wave of interviews between 2011 and 2018. Depressive symptoms were measured by the 10-item version of the Center for Epidemiological Studies Depression. Cross-lagged panel network analysis was conducted to examine relationships between symptoms at three time points: prediagnosis; onset of diagnosis, and postdiagnosis).

Results: After controlling for other symptoms and covariates, feeling unable to get going and less happiness at prediagnosis were the most predictive of other symptoms at the diagnosis of CKD. Feeling effortful to do everything and depressed mood at the diagnosis of CKD were the most predictive of other symptoms at postdiagnosis.

Conclusions: Fatigue (i.e., feeling unable to get going, feeling effortful to do everything), less happiness, and depressed mood were central symptoms during the transition to a diagnosis of CKD. These findings highlight the benefits of identifying and managing these central symptoms to reduce the risk of activating other depressive symptoms. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: This trial explored the psychological and immunological effects of two brief interventions, targeting improving positive mood, administered to older adults immediately prior to influenza vaccination. The primary aim was to examine whether the interventions resulted in greater positive mood compared to usual care, and if so, which was superior. Secondary outcomes included antibody responses to vaccination and feasibility of collecting clinical outcome data (e.g., respiratory infections).

Method: Six hundred and fifty-four older adults (65-85 years) participated in a three-arm, parallel, randomized controlled trial between September 2019 and May 2020. Immediately prior to receiving an adjuvanted trivalent influenza vaccine (Fluad, Seqirus UK Ltd), participants viewed one of two brief (15-min) video-based positive mood interventions (one fixed content, one allowing participant choice) or received usual care. State affect was measured immediately prior to, and following, intervention exposure or usual care. Antibody responses were measured prevaccination and 4 weeks postvaccination. Clinical outcomes were extracted from primary care records for 6 months following vaccination.

Results: Both interventions were equally effective at improving mood prior to vaccination compared to usual care. Antibody responses were highly robust with postvaccination seroprotection rates of > 88% observed for all vaccine strains. Antibody responses did not significantly differ between groups. Clinical outcome data were feasible to collect.

Conclusions: Brief psychological interventions can improve mood prior to vaccination. However, altering antibody responses to highly immunogenic adjuvanted vaccines may require more targeted or prolonged interventions. The provision of choice did not notably enhance the interventions impact on mood or antibody outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: This study examined the association between neighborhood social environment and sleep among urban American Indian and Alaska Native (AI/AN) adolescents as well as the moderating role of cultural factors in this association.

Method: The analytic sample included 133 urban AI/AN adolescents (age 12-16, 57.1% female, M_age = 14.03, SD_age = 1.35). Perceived neighborhood social environment included safety and cohesion. Cultural factors included AI/AN cultural identification and historical loss. Sleep duration, efficiency, and wake after sleep onset (WASO) were measured via actigraphy. Sleep disturbance was measured via a questionnaire.

Results: Greater neighborhood safety was significantly associated with lower sleep disturbance (b = -2.17, SE = 0.8, p = .008), higher sleep efficiency (b = 1.75, SE = 0.64, p = .006), and lower WASO (b = -8.60, SE = 3.34, p = .01). Neighborhood cohesion was not associated with any sleep outcomes. Cultural factors moderated the association between neighborhood social environment and sleep outcomes (p < .05). Specifically, both neighborhood safety and cohesion were associated with lower sleep disturbance, only among individuals reporting higher levels of AI/AN cultural identification. Further, neighborhood safety was associated with greater sleep efficiency and lower WASO (i.e., better sleep) only among adolescents with higher contemplation of historical loss.

Conclusions: Findings highlight the importance of considering cultural factors in addressing sleep and health disparities. AI/AN cultural identification and a sense of historical loss may be important targets for identifying adolescents who might benefit the most from policies and interventions focused on improving the social environment in order to improve sleep and other health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).