Hostile conflict in marriage can increase risks for disease and mortality. Physiological synchrony between partners-e.g., the linkage between their autonomic fluctuations-appears to capture engagement, or an inability to disengage from an exchange, and thus may amplify the health risks of noxious interactions such as marital conflict. Prior work has not examined the unique health correlates of this physiological signature. To test associations between couples' heart rate variability (HRV) synchrony during conflict and inflammation, 43 married couples engaged in a marital problem discussion while wearing heart monitors and provided four blood samples; they repeated this protocol at a second visit. When couples' moment-to-moment HRV changes tracked more closely together during conflict, they had higher levels of three inflammatory markers (i.e., IL-6, stimulated TNF-α, and sVCAM-1) across the day. Stronger HRV synchrony during conflict also predicted greater negative affect reactivity. Synchrony varied within couples, and was related to situational factors rather than global relationship traits. These data highlight partners' HRV linkage during conflict as a novel social-biological pathway to inflammation-related disease.

Scope Supplementation with linoleic acid (LA; 18:2Ω6)-rich oils increases lean mass and decreases trunk adipose mass in people. Erythrocyte fatty acids reflect the dietary pattern of fatty acid intake and endogenous metabolism of fatty acids. The aim of this study is to determine the relationship of erythrocyte LA, with aspects of body composition, insulin resistance and inflammation. Additionally, we tested for relationships of oleic acid (OA) and the sum of long chain omega-three fatty acids (LC-Ω3-SUM), on the same outcomes. Methods and Results Men and women (N=139) were evaluated for body composition, insulin resistance, and serum inflammatory markers, interleukin-6 (IL-6) and c-reactive protein (CRP) and erythrocyte fatty acid composition after an overnight fast. LA was positively related to appendicular lean mass/body mass index (ALM/BMI) and inversely related to trunk adipose mass. Additionally, LA was inversely related to insulin resistance and IL-6. While there was an inverse relationship between OA or LC-Ω3-SUM with markers of inflammation, there were no relationships between OA or LC-Ω3-SUM with body composition or HOMA-IR. Conclusions Higher erythrocyte LA was associated with improved body composition, insulin resistance and inflammation. Erythrocyte OA or LC-Ω3-SUM was unrelated to body composition and insulin resistance.

Background: Random effects regression imputation has been recommended for multiple imputation (MI) in cluster randomized trials (CRTs) because it is congenial to analyses that use random effects regression. This method relies heavily on model assumptions and may not be robust to misspecification of the imputation model. MI by predictive mean matching (PMM) is a semiparametric alternative, but current software for multilevel data relies on imputation models that ignore clustering or use fixed effects for clusters. When used directly for imputation, these two models result in underestimation (ignoring clustering) or overestimation (fixed effects for clusters) of variance estimates. Methods: We develop MI procedures based on PMM that leverage these opposing estimated biases in the variance estimates in one of three ways: weighting the distance metric (PMM-dist), weighting the average of the final imputed values from two PMM procedures (PMM-avg), or performing a weighted draw from the final imputed values from the two PMM procedures (PMM-draw). We use Monte-Carlo simulations to evaluate our newly proposed methods relative to established MI procedures, focusing on estimation of treatment group means and their variances after MI. Results: The proposed PMM procedures reduce the bias in the MI variance estimator relative to established methods when the imputation model is correctly specified, and are generally more robust to model misspecification than even the random effects imputation methods. Conclusions: The PMM-draw procedure in particular is a promising method for multiply imputing missing data from CRTs that can be readily implemented in existing statistical software.

Objectives Marital support is central to couples’ relationships, yet support’s health implications can vary widely. Guided by attribution bias and aging theories, the current study examined whether age and marital satisfaction moderate the links of perceived and received spousal support to aging-related biomarkers. Methods Couples (N = 93, ages 22–77) rated marital satisfaction, overall perceived spousal support, and the quality of support received from their spouse in a lab-based discussion. Blood samples collected at baseline, immediately post-discussion, 3 hr post-discussion, and end-of-visit were assayed for proinflammatory cytokines tumor necrosis factor (TNF)-α and interleukin (IL)-6, as well as insulin-like growth factor (IGF)-1. Results Consistent with predictions, less satisfied older couples who received lower-quality spousal support during their discussion had greater increases in TNF-α than those who received higher-quality support; highly satisfied couples of all ages and less satisfied younger couples did not show these inflammatory changes. Highly satisfied older couples with greater perceived spousal support had lower TNF-α across the day and higher IGF-1. Discussion Marital satisfaction and age may shape spousal support’s significance for healthy aging. Rose-colored lenses worn only in the most satisfying marriages may protect couples from the possible health risks of low-quality received support and enhance potential benefits of perceived support. For better or worse, these health implications may grow with older age.

Background-Prior to treatment, breast cancer patients are less physically fit compared to peers; during cancer treatment, their fitness typically declines. Depressive symptoms are associated with reduced activity up to 5 years post-treatment, but research has not identified mechanisms linking depression and lower activity. The current study assessed relationships among breast cancer patients' depression and perceived exertion during exercise as well as heart rate, an objective indicator of exertion.Methods-Participants were 106 breast cancer patients, stages I-IIIA, who completed surgery but had not started adjuvant treatment. Heart rate and self-rated exertion, measured using the Borg Scale of Perceived Exertion, were assessed every 2 min during a graded exercise test. Depression was assessed using the CES-D and a structured clinical interview.Results-Compared to women below the CES-D clinical cutoff, women with significant depressive symptoms reported steeper increases in exertion during the exercise test (p = .010) but Avelina C.