Health Psychology最新文献

Objective: Although emerging studies examine the inverse relationship between body satisfaction and disordered eating for Black women, it has not been established how racially salient aspects of body satisfaction may have implications for eating behaviors and longitudinal health outcomes.

Method: In a longitudinal sample of 455 Black women, we examined whether skin color satisfaction across ages 10-15 was directly related to adult health outcomes at age 40 (e.g., disordered eating, self-esteem, self-reported health, depressive symptoms, and cardiovascular risk). We also investigated the indirect impact of skin color satisfaction on adult health, mediated by body satisfaction, and binge eating.

Results: No significant direct or indirect effects of adolescent skin color satisfaction were observed for depressive symptoms or cardiovascular health outcomes. At ages 10 and 12, skin color satisfaction had negative and positive direct effects, respectively, on self-esteem. At age 15, greater skin color satisfaction was directly associated with greater self-reported health. Post hoc analyses revealed that when additionally accounting for adolescent body satisfaction, greater skin color satisfaction was indirectly associated with greater self-esteem and self-reported health, alongside lower cardiovascular risk.

Conclusions: Although previous research suggests that in adolescence, Black girls' skin color satisfaction affects both body satisfaction and disordered eating behaviors, this association does not hold into midlife. Rather, post hoc analyses suggest that the lasting effects of adolescent skin color satisfaction are mediated by the longitudinal stability of body satisfaction, which in turn, is associated with adult health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Various literature are suggestive of a relation between lifetime trauma and mortality risk in adulthood, however, findings seem unclear and inconsistent. In our preregistered review, we conducted a systematic review to examine the association between lifetime trauma and mortality risk in adulthood.

Method: Six databases (Scopus, Web of Science, CINAHL [EBSCO], PsycInfo [EBSCO], Embase, and Medline [PubMed]); were searched up to April 2023 for studies reporting adult mortality outcomes associated with traumatic events accumulated across the lifespan. Five studies were found, and a narrative review of the literature was conducted.

Results: Five studies met the inclusion criteria, including 5,506 individuals. Two studies with men/male-only samples reported no relation between lifetime trauma and mortality risk; however, three studies with a mixed-sex sample found a positive relation between lifetime trauma and mortality risk, indicating that the more traumatic events a person has across their lifespan, the greater their mortality risk.

Conclusion: Lifetime trauma appears to be associated with mortality risk during adulthood. The strongest evidence stems from larger samples. However, research is sparse and inconclusive. A plethora of additional research is needed to address several limitations within the current literature, which includes utilizing standardized measures of lifetime trauma, replication of effects, and the examination of vulnerable and underrepresented populations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Medication-related beliefs, for example, beliefs that medicines are unnecessary or that side effects are likely, can influence medication behaviors and experiences, potentially impacting quality of life and mortality. At times, it may be useful to change medication-related beliefs, for example, to reduce patients' concerns about side effects when extensive evidence suggests side effects are rare. Currently we do not know the most effective methods to address medication beliefs.

Method: Systematic review and meta-analysis of randomized controlled trials that measured medication-related beliefs in people prescribed medication for long-term condition(s). We extracted data on behavior change techniques (BCTs), belief measure, study and patient characteristics, risk of bias, and quality of description.

Results: We identified 56 trials randomizing 8,714 participants. In meta-analysis, interventions led to small-to-medium effects (n = 36, Hedges' g = .362, 95% confidence interval [CI] [.20, .52], p < .001) in increasing beliefs about medication need/benefit and reducing concerns about medication (n = 21, Hedges' g = -.435, 95% CI [-0.72, -0.15], p < .01). Effect sizes were higher for interventions that reported a significant effect on adherence. Problem solving, information about health consequences, and social support (unspecified) were the most prevalent BCTs. Fourteen BCTs were associated with significant effects on need/benefit beliefs and four BCTs were associated with significant effects on concern beliefs.

Conclusion: It is possible to modify medication-related beliefs using a range of interventions and techniques. Future research should explore the best ways to operationalize these BCTs for specific health conditions to support medication beliefs and improve adherence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Antimicrobial resistance is a global health threat perpetuated by the overprescribing of antibiotics in primary care. One strategy to reduce antibiotic use in this setting is delayed prescribing. However, several psychological factors might undermine its effectiveness. The aim of the study was to test whether different interventions aiming at helping patients to manage diagnostic uncertainty in the period of watchful waiting promote appropriate antibiotic use.

Method: We conducted a preregistered online experiment (N = 690 adult participants from the United Kingdom) in which we modeled delayed prescription in a decision task with behavior-contingent incentives. Participants had either a fictional viral or bacterial infection and received interventions that aimed at facilitating symptom monitoring (i.e., passive monitoring) and engaging participants in the task (i.e., active monitoring).

Results: Both interventions decreased antibiotic use when the disease was viral. Active monitoring was more efficient in decreasing antibiotic use than passive monitoring.

Conclusions: The findings have practical implications for managing uncertainty and fostering appropriate antibiotic use in delayed prescribing situations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Individuals who grow up in low-socioeconomic status (SES) families are at an increased risk of health problems across the lifespan. Although supportive social relationships are postulated to be a protective factor for the health of these individuals, the role of friend support in adolescence is not well understood. Given that low-grade inflammation is one key biological mechanism proposed to explain links between family SES and health outcomes, we examined whether adolescents' friend support buffers the association between family SES and low-grade inflammation among adolescents.

Method: 277 dyads of adolescents (63.5% female; 39.4% White, 38.3% Black, and 32.1% Hispanic; M_age = 13.92 years) and one of their parents participated in this longitudinal study (two waves approximately 2 years apart). Parents reported family objective SES (i.e., income, savings, and education) and family subjective SES (i.e., subjective social status). Adolescents reported perceived friend support. Fasting antecubital blood was drawn from adolescents at both visits. Low-grade inflammatory activity was represented by a composite of inflammatory biomarkers and numbers of classical monocytes.

Results: Adolescents' friend support moderated the associations of family subjective SES with both the inflammation composite and classical monocyte counts across cross-sectional, longitudinal, and prospective change (only significant for the inflammation composite) analyses. Specifically, lower family subjective SES was associated with higher levels of low-grade inflammation only among adolescents lower, but not higher, in friend support. No moderation was observed for objective SES.

Conclusion: Supportive peer relationships buffer the link between family subjective, but not objective, SES and low-grade inflammation in adolescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objective: Personality traits have been regularly linked with all-cause mortality risk. However, what mechanisms may provide an indirect pathway from personality traits to mortality is unclear. We sought to systematically review the literature and provide an overview of the potential mechanisms that have been identified in the literature.

Method: Five electronic databases (PubMed, Web of Science, CINAHL, PsycInfo, and PsycArticles) were searched from inception to January 27, 2023. From 611 studies initially identified, seven studies met the final inclusion criteria. These seven papers have a combined sample of 60,104 individuals (M = 8,585, SD = 14,600; range 957-44,094).

Results: These papers found that several variables, such as smoking, inflammation biomarkers, blood pressure, and sleep, mediated the relationship between various personality traits and mortality. There was considerable variation in the impact of results across cohorts, even when looking at similar variables, and notable differences in methodological approaches and reporting were discussed.

Conclusions: This review identified a small pool of research looking at a range of indirect pathways (mediating variables). The review identified traits with well-established associations with mortality risk, such as neuroticism, do not have consistent findings in the mediation literature and a high level of variance in the degree to which mediators account for the personality-mortality relation between different cohorts. Despite these limitations, it is clear that examining indirect effects (mediation) has a crucial role to play in developing our understanding of the complex pathways that connect personality-mortality risk. We identify several avenues and considerations for future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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).