Psychosomatic Medicine最新文献

Objective: Antibody response to vaccination is a powerful paradigm for studying the effects of chronic stress on immune function. In the present study, we used this paradigm to examine the interaction between caregiving (as a type of chronic stress) and sex on the antibody response to a single dose of a COVID-19 vaccination; recent research has called for examination of sex differences on health outcomes among family caregivers. A three-way interaction between caregiving, sex, and psychological distress was also examined.

Methods: COVID-19 antibody data were extracted from 165 caregivers (98 females) and 386 non-caregivers (244 females) from the UK's Understanding Society COVID-19 study. Relevant sociodemographics, health and lifestyle, and distress variables were gathered as potential covariates.

Results: In a 2 × 2 ANOVA, we found that the interaction between caregiving and sex was significant; male caregivers had a lower antibody response to the vaccine compared to female caregivers ( F (1,547), =24.82, p < .001, η2p = 0.043). Following adjustment, male caregivers had the lowest antibody response relative to all other groups. The three-way interaction model, controlling for covariates, was also significant ( R2 = 0.013, p = .049); the conditional effects for the three-way interaction revealed that male caregivers, compared to the other groups, had a lower antibody response at both low and medium levels of psychological distress.

Conclusion: This study found evidence of a three-way interaction between caregiving, sex, and distress on antibody response. Male caregivers had poorer antibody response to a single shot of the COVID-19 vaccination than female caregivers and male and female non-caregivers, and this was evident at low and medium levels of distress. Our findings will be discussed in relation to the caregiver and sex interactions during the pandemic.

Objective: Multimorbidity or the co-occurrence of multiple health conditions is increasing globally and is associated with significant psychological complications. It is unclear whether digital mental health (DMH) interventions for patients experiencing multimorbidity are effective, particularly given that this patient population faces more treatment resistance. The goal of the current study was to examine the impact of smartphone-delivered DMH interventions for patients presenting with elevated internalizing symptoms that have reported multiple lifetime medical conditions.

Methods: This preregistered (see https://osf.io/vh2et/ ) retrospective cohort intent-to-treat study with 2819 patients enrolled in a therapist-supported DMH intervention examined the associations between medical multimorbidity (MMB) and mental health outcomes.

Results: Results indicated that more MMB was significantly associated with greater presenting mental health symptom severity. MMB did not have a deleterious influence on depressive symptom trajectories across treatment, although having one medical condition was associated with a steeper decrease in anxiety symptoms compared to patients with no medical conditions. Finally, MMB was not associated with time to dropout, but was associated with higher dropout and was differentially associated with fewer beneficial treatment outcomes, although this is likely attributable to higher presenting symptom severity, rather than lesser symptom reductions during treatment.

Conclusions: Overall, the Meru Health Program was associated with large effect size decreases in depressive and anxiety symptoms regardless of the number of MMB. Future DMH treatments and research might investigate tailored barrier reduction and extended treatment lengths for patients experiencing MMB to allow for greater treatment dose to reduce symptoms below clinical outcome thresholds.

Objective: Acute exercise elicits various biobehavioral and psychological responses, but results are mixed with regard to the magnitude of exercise-induced affective reactions. This meta-analysis examines the magnitude of general mood state, anxiety, and depressive symptom responses to acute exercise while exploring exercise protocol characteristics and background health behaviors that may play a role in the affective response.

Methods: A total of 2770 articles were identified from a MEDLINE/PubMed search and an additional 133 articles from reviews of reference sections. Studies had to have measured general mood before the acute exercise bout and within 30 minutes after exercise completion. Effect sizes were estimated using Hedges' g , with larger values indicating improvement in the outcome measure.

Results: A total of 103 studies were included presenting data from 4671 participants. General mood state improved from preexercise to postexercise ( g = 0.336, 95% confidence interval [CI] = 0.234-0.439). Anxiety ( g = 0.497, 95% CI = 0.263-0.730) and depressive symptoms ( g = 0.407, 95% CI = 0.249-0.564) also improved with exercise. There was substantial and statistically significant heterogeneity in each of these meta-analyses. This heterogeneity was not explained by differences in participants' health status. Meta-regression analyses with potential moderators (intensity of exercise, mode of exercise, usual physical activity level, or weight status of participants) also did not reduce the heterogeneity.

Conclusion: This meta-analysis shows significantly improved general mood, decreased anxiety, and lower depressive symptoms in response to an acute bout of exercise. There was substantial heterogeneity in the magnitude of the effect sizes, indicating that additional research is needed to identify determinants of a positive affective response to acute exercise.

Objective: Evidence shows that higher depressive symptoms are associated with mortality among people living with and beyond cancer (LWBC). However, prior studies have not accounted for a wider range of potential confounders, and no study has explored whether socioeconomic position (SEP) moderates the association. This study aimed to examine the association between depressive symptoms and mortality among people LWBC, and moderation by SEP.

Methods: Participants from the English Longitudinal Study of Aging, diagnosed with cancer and with a measure of depressive symptoms within 4 years after their diagnosis, were included. Elevated depressive symptoms were indicated by a score of ≥3 on the eight-item Center for Epidemiologic Studies Depression Scale. Cox regression models examined associations with all-cause mortality. Competing risk regression examined associations with cancer mortality.

Results: In 1352 people LWBC (mean age = 69.6 years), elevated depressive symptoms were associated with a 93% increased risk of all-cause mortality (95% confidence interval = 1.52-2.45) within the first 4 years of follow-up and a 48% increased risk within a 4- to 8-year follow-up (95% confidence interval = 1.02-2.13) after multivariable adjustment. Elevated depressive symptoms were associated with a 38% increased risk of cancer mortality, but not after excluding people who died within 1 year after baseline assessments. There were no interactions between depressive symptoms and SEP.

Conclusions: Elevated depressive symptoms are associated with a greater risk of all-cause mortality among people LWBC within an 8-year follow-up period. Associations between depressive symptoms and cancer mortality might be due to reverse causality.

Objective: Depression can promote inflammation and accelerate aging. Metformin, a widely prescribed antidiabetic, has shown promising preclinical evidence of aging-related health benefits, including decreased inflammation. The current study examined whether metformin usage buffers the association between depressive symptoms and inflammatory markers in two large samples of middle-aged and older, primarily White adults, and older Latino adults.

Methods: Data from the Midlife in the United States Study ( N = 1255) and the Sacramento Area Latino Study on Aging ( N = 1786) included information on medication use, depressive symptoms, and inflammatory markers, namely, interleukin 6 (IL-6), tumor necrosis factor α, and C-reactive protein (CRP). These data were merged into a harmonized sample, and the sample group variable was included in a three-way interaction for analysis.

Results: Specifically, in the Midlife in the United States Study sample, metformin buffered the association between depressive symptoms and CRP ( b = -0.029, standard error [SE] = 0.013, p = .007) and IL-6 ( b = 0.21, SE = 0.010, p = .046), whereas no significant association was found with tumor necrosis factor α. Metformin nonusers displayed higher depressive symptoms associated with elevated CRP ( b = 0.01, SE = 0.003, p < .001) and IL-6 ( b = 0.011, SE = 0.003, p < .001), whereas this association was not present among metformin users ( p values > .068). Conversely, in the Sacramento Area Latino Study on Aging sample, metformin use did not show a significant protective link.

Conclusions: Results from mostly White, highly educated adults supported a mitigating role of metformin in ties between depression, a well-known behavioral risk factor, and inflammation, a key source of biological aging. However, the benefits did not extend to a large sample of older Mexican Americans. The findings reveal a hidden potential benefit of this therapeutic agent and raise important questions around its health equity.

Trial registration: The study was preregistered on OSF ( https://osf.io/c92vw/ ).

Objective: Eudaimonic facets of psychological well-being (PWB), like purpose in life and sense of mastery, are associated with healthy aging. Variation in the gut microbiome may be one pathway by which mental health influences age-related health outcomes. However, associations between eudaimonic PWB and the gut microbiome are understudied. We examined whether purpose in life and sense of mastery, separately, were associated with features of the gut microbiome in older women.

Methods: Participants were from the Mind-Body Study ( N = 206, mean age = 61 years), a substudy of the Nurses' Health Study II cohort. In 2013, participants completed the Life Engagement Test and the Pearlin Mastery Scale. Three months later, up to two pairs of stool samples were collected, 6 months apart. Covariates included sociodemographics, depression, health status, and health behaviors. Analyses examined associations of PWB with gut microbiome taxonomic diversity, overall community structure, and specific species/pathways. To account for multiple testing, statistical significance was established using Benjamini-Hochberg adjusted p values (i.e., q values ≤0.25).

Results: We found no evidence of an association between PWB and gut microbiome alpha diversity. In multivariate analysis, higher purpose levels were significantly associated with lower abundance of species previously linked with poorer health outcomes, notably Blautia hydrogenotrophica and Eubacterium ventriosum ( q values ≤0.25). No significant associations were found between PWB and metabolic pathways.

Conclusions: These findings offer early evidence suggesting that eudaimonic PWB is linked with variation in the gut microbiome, and this might be one pathway by which PWB promotes healthy aging.

Objective: Aging is associated with increased proinflammatory gene expression and systemic inflammation, and psychosocial stress may accelerate these changes. Mindfulness interventions show promise for reducing psychosocial stress and extending healthspan. Inflammatory pathways may play a role. In a sample of lonely older adults, we tested whether mindfulness training reduces proinflammatory gene expression and protein markers of systemic inflammation.

Methods: Lonely older adults (65-85 years; N = 190) were randomly assigned to an 8-week Mindfulness-Based Stress Reduction (MBSR) or matched Health Enhancement Program (HEP). Blood was drawn before and after the intervention and at 3-month follow-up. In peripheral blood mononuclear cells, RNA profiling was used to assess transcriptional regulation by proinflammatory nuclear factor κB (NF-κB) as well as β-adrenergic cAMP response element-binding protein (CREB), antiviral interferon regulatory factor (IRF), and glucocorticoid receptor (GR) transcription factors. Plasma was assayed for proinflammatory markers interleukin 6 (IL-6) and C-reactive protein (CRP). Analyses tested time (pre, post, follow-up) by condition (MBSR versus HEP) effects.

Results: MBSR reduced NF-κB ( d = 0.17, p = .028) but did not alter CREB ( d = 0.10, p = .20), IRF ( d = 0.13, p = .086), or GR activity ( d = 0.14, p = .063) relative to HEP over time. Contrary to predictions, there were no time by condition effects of MBSR compared with HEP on reducing circulating IL-6 or CRP.

Conclusions: In lonely older adults, MBSR reduced cellular proinflammatory gene regulation in ways that would predict reduced disease risk. However, no similar effect was observed for circulating protein markers of inflammation. These results provide specificity about how mindfulness interventions may impact distinct inflammatory markers among aging adults in ways that may have important implications for healthspan.

Trial registration: Clinical Trials identifier NCT02888600.

Objective: Social stress-loneliness, isolation, and low relationship quality-increase risks of aging-related diseases. However, the ways in which they intersect to undermine healthy aging remain poorly understood. We used latent class analysis to identify groups of older adults based on their social stress in both the United States and Mexico. Thereafter, we examined their cross-sectional associations with markers of functional and biological aging.

Method: Participants in the Health and Retirement Study (HRS; N = 8316) and Mexican Health and Aging Study (MHAS; N = 15,001) reported their loneliness, isolation (i.e., living alone), and relationship quality with spouse, children, and friends. Outcomes included C-reactive protein, functional limitations, self-rated health, comorbidities, gait speed, and grip strength. Models controlled for demographics, health behaviors, and body mass index.

Results: In both countries, five classes emerged, a supported group and four with elevated social stress: a) strained, b) isolated, c) spousal ambivalence, and d) unhappily married. Compared with the others, strained participants in both samples had greater functional limitations, poorer self-rated health, and more comorbidities, as well as slower gait in HRS and weaker grip in MHAS. Generally, supported participants fared better than the other groups. In HRS, C-reactive protein levels differed between the strained group and others, but these associations were explained by health behaviors and body mass index.

Conclusions: Older adults in both countries with strained relationships fared worst in their aging-related outcomes, revealing new insights about the links between toxic social stress and unhealthy aging.

Abstract: The "geroscience hypothesis" posits that slowing the physiological processes of aging would lead to delayed disease onset and longer healthspan and lifespan. This shift from a focus on solely treating existing disease to slowing the aging process is a shift toward prevention, including a focus on risk factors found in the social environment. Although geroscience traditionally has focused on the molecular and cellular drivers of biological aging, more fundamental causes of aging may be found in the social exposome-the complex array of human social environmental exposures that shape health and disease. The social exposome may interact with physiological processes to accelerate aging biology. In this commentary, we review the potential of these insights to shape the emerging field of translational geroscience. The articles in this special issue highlight how social stress and social determinants of health are associated with biomarkers of aging such as inflammation, epigenetic clocks, and telomeres, and spotlight promising interventions to mitigate stress-related inflammation. For geroscience to incorporate the social exposome into its translational agenda, studies are needed that elucidate and quantify the effects of social exposures on aging and that consider social exposures as intervention targets. The life course perspective allows us to measure both exposures and aging biology over time including sensitive periods of development and major social transitions. In addition, given rapid changes in the measurement of aging biology, which include machine learning techniques, multisystem phenotypes of aging are being developed to better reflect whole body aging, replacing reliance on single system biomarkers. In this expanded and more integrated field of translational geroscience, strategies targeting factors in the social exposome hold promise for achieving aging health equity and extending healthy longevity.