Background: Chronic illness management is increasingly carried out at home by individuals and their informal caregivers (dyads). Although synergistic in concept, the nuances of dyadic congruence in caring for patients with heart failure are largely unexamined. Aims: The purpose of this study was to examine the role of dyadic-type congruence on patient self-care (maintenance, symptom perception, and management) while controlling for actor and partner effects. Methods: This secondary data analysis of 277 dyads consisted of a series of multilevel models to examine the impact of dyadic congruence on a patient’s self-care maintenance, symptom perception, and self-care management. Patient-level and caregiver-level data were input into each model simultaneously to account differential appraisals of factors related to the dyad. Results: Bivariate analyses yielded dyad congruence which was associated with better patient self-care maintenance, symptom perception and management. However, after multilevel models were constructed, dyad congruence was found to be a significant predictor of patient’s symptom perception scores, but not self-care maintenance or management scores. Caregiver’s satisfaction with the dyad was differentially and significantly associated with self-care – it was inversely associated with patient self-care maintenance and positively associated with patient self-care management. Conclusion: This is the first study, to our knowledge, reporting that congruence in heart failure dyads is associated with better patient symptom perception and this advances our prior hypothesis that dyad typologies could be used to predict patient self-care performance. Since symptom perception is the key to preventing heart failure exacerbation, screening heart failure patient and caregiver dyads for congruence is important in clinical settings.

The intestinal microbiota changes throughout pregnancy and influences maternal metabolic adaptations to support fetal growth. Obesity induces alterations to the microbiota that include decreased microbial diversity and shifts in microbial composition, though specific species changes are inconsistent between published studies. In animal models, probiotics and exercise moderate maternal weight gain and partially correct the maternal microbiota. Supplemental Escherichia coli, however, exacerbate maternal obesity during the perinatal period, lending weight to the theory that inflammation-induced gut epithelial barrier leak influences metabolic dysregulation. Although birth weight is not always altered when offspring are exposed to an obesogenic diet during gestation, insulin resistance and lipid metabolism are impacted through adulthood in association with this exposure and can lead to increased body weight in adulthood. Postnatal offspring growth is accelerated in response to maternal overnutrition during lactation. Offspring microbiota, metabolism, and behavior are altered in response to early exposure to high fat and high sucrose diets. Consequences to this exposure include impaired glucose and insulin homeostasis, fatty liver, and neurobehavioral deficits that can be ameliorated by improving the microbial environment. In this mini review, we provide an overview of the use of translational animal models to understand the mechanisms associated with changes to the gastrointestinal microbiota due to maternal obesity and the microbial impact on the metabolic changes of pregnancy.

Anxiety and depressive symptoms affect up to 80% of people with chronic obstructive pulmonary disease (COPD). To reduce this symptom burden, clinicians should target modifiable explanatory factors while accounting for nonmodifiable explanatory factors of these symptoms. The purpose of this secondary data analysis was to examine which modifiable factors explain anxiety and depressive symptoms in COPD. This secondary data analysis of 1,760 COPD patients used multiple regression to explain anxiety and depressive symptoms from sets of modifiable patient characteristics and demographic controls. Clinically significant symptoms of anxiety or depression presented in 29.6% ( n = 526) of participants, and 20.6% ( n = 363) had both. Significant modifiable explanatory factors of both disorder symptoms were perceived functional status, functional capacity, psychosocial impact, symptom self-management, and significant symptoms for the other. Somatic symptom burden and dyspnea explained anxiety and depressive symptoms, respectively. Addressing these modifiable factors may reduce anxiety and depressive symptoms in patients with COPD.

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