Using Gene Expression Analysis to Examine Changes in Loneliness, Depression and Systemic Inflammation in Lonely Chronically Ill Older Adults

Loneliness is Associated With Lower Coping Self-Efficacy Among Older Adults

To address the gap of lacking research on the association between coping self-efficacy and loneliness, this study examined this relationship to inform future research and intervention on loneliness. Using data from 151 community-dwelling older adults ages 65 and older, we estimated multivariate logistic regression models with age, race/ethnicity, sex, body mass index, chronic disease composite score, social support, coping self-efficacy, and depression symptoms. Loneliness was reported in 32.1% of participants and negatively associated with coping self-efficacy (OR = 0.68, 95% CI: 0.50-0.93) while controlling for age, race, sex, chronic disease composite score, and body mass index. Our findings suggest that coping self-efficacy may be a target for intervention involving loneliness in future research; however, the causal relationship between coping self-efficacy and loneliness should be explored further.

Symptom Clusters in Family Caregivers of Hematopoietic Stem Cell Transplantation Recipients: Loneliness as a Risk Factor

A symptom cluster is a group of 2 or more symptoms that occur together and are related to each other. Family caregivers of allogeneic hematopoietic stem cell transplantation (HSCT) recipients experience multiple concurrent symptoms, but the majority of symptom research in this population has focused on assessing and managing individual symptoms. The purpose of this analysis was to determine (1) whether clusters of 5 highly prevalent symptoms (fatigue, sleep disturbance, depression, anxiety, and cognitive impairment) in allogeneic HSCT caregivers could be identified and (2) which caregiver and patient characteristics influence membership in the identified symptom cluster groups. Baseline cross-sectional data were collected from allogeneic HSCT caregivers participating in a randomized controlled trial at the National Institutes of Health Clinical Center. Measures included the Caregiver Reaction Assessment (CRA), Health-Promoting Lifestyle Profile II (HPLP-II), Fatigue Symptom Inventory (MFSI), Pittsburgh Sleep Quality Index (PSQI), and Patient-Reported Outcomes Measurement Information System (PROMIS). Cluster analysis was used to identify symptom clusters, and univariate analyses and multiple logistic regression were performed to identify factors that contribute to symptom clusters. The average age of caregivers (n = 44) was 45.20 ± 15.05 years; primarily white (52.3%) and female (88.6%) and often the spouse/partner of the patient (50.0%). Two symptom cluster groups were identified: low symptom burden (n = 24; 54.5%) and high symptom burden (n = 20; 45.5%). Caregivers with higher levels of loneliness (odds ratio, 1.12; 95% confidence interval, 1.04 to 1.22; P = .004) were more likely to be in the high symptom burden group. This study provides evidence that 5 symptoms commonly found in family caregivers-fatigue, sleep disturbance, depression, anxiety, and cognitive impairment-tend to occur in clusters. Therefore, clinicians should be aware that caregivers with 1 or more of these symptoms may be at higher risk for developing the others, and caregivers reporting high levels of loneliness may be at particular risk. Future research is needed to identify novel interventions that target multiple, co-occurring symptoms. Such interventions also might include components that decrease loneliness. © 2022 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

Loneliness: An Immunometabolic Syndrome

Loneliness has been defined as an agonizing encounter, experienced when the need for human intimacy is not met adequately, or when a person’s social network does not match their preference, either in number or attributes. This definition helps us realize that the cause of loneliness is not merely being alone, but rather not being in the company we desire. With loneliness being introduced as a measurable, distinct psychological experience, it has been found to be associated with poor health behaviors, heightened stress response, and inadequate physiological repairing activity. With these three major pathways of pathogenesis, loneliness can do much harm; as it impacts both immune and metabolic regulation, altering the levels of inflammatory cytokines, growth factors, acute-phase reactants, chemokines, immunoglobulins, antibody response against viruses and vaccines, and immune cell activity; and affecting stress circuitry, glycemic control, lipid metabolism, body composition, metabolic syndrome, cardiovascular function, cognitive function and mental health, respectively. Taken together, there are too many immunologic and metabolic manifestations associated with the construct of loneliness, and with previous literature showcasing loneliness as a distinct psychological experience and a health determinant, we propose that loneliness, in and of itself, is not just a psychosocial phenomenon. It is also an all-encompassing complex of systemic alterations that occur with it, expanding it into a syndrome of events, linked through a shared network of immunometabolic pathology. This review aims to portray a detailed picture of loneliness as an “immunometabolic syndrome”, with its multifaceted pathology.

Loneliness among cancer caregivers: A narrative review

OBJECTIVE

Providing care to a loved one with cancer places demands on caregivers that result in changes to their daily routines and disruptions to their social relationships that then contribute to loneliness. Though caregivers' psychosocial challenges have been well studied, loneliness - a determinant of health - has not been well studied in this population. This narrative review sought to describe the current evidence on loneliness among caregivers of cancer patients. We aimed to (1) define loneliness, (2) describe its prevalence, (3) describe the association between loneliness and health outcomes, (4) describe risks and consequences of loneliness among cancer caregivers, (5) identify ways to assess loneliness, and (6) recommend strategies to mitigate loneliness in this unique population.

METHOD

We used evidence from articles listed in PubMed, PsycINFO, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases, book chapters, and reports. Articles were reviewed for the following inclusion criteria: (1) published in English, (2) caregivers of cancer patients, (3) loneliness as a study variable, and (4) peer-reviewed with no restriction on the timeframe of publication. Caregivers were defined as relatives, friends, or partners who provide most of the care and support for someone with cancer.

RESULTS

Eighteen studies met inclusion criteria and were included in the analysis. Caregivers' experiences of loneliness can contribute to negative effects on one's social, emotional, and physical well-being. Social support interventions may not be sufficient to address this problem. Existing recommendations to mitigate loneliness include cognitive and psychological reframing, one-on-one and group therapy, befriending, resilience training, and technology-based interventions.

SIGNIFICANCE OF RESULTS

Limited attention to loneliness in cancer caregivers poses a twofold problem that impacts patient and caregiver outcomes. Interventions are critically needed to address loneliness as a determinant of health in caregivers, given their pivotal role in providing care and impacting health outcomes for people with cancer.

An observational study protocol to explore loneliness and systemic inflammation in an older adult population with chronic venous leg ulcers

BACKGROUND

Chronic venous leg ulcers (CVLUs) are the most common type of lower extremity wound. Even when treated with evidenced-based care, 30-50% of CVLUs fail to heal. A specific gap exists about the association between psychosocial stressors, particularly loneliness, and biomarkers of inflammation and immunity. Loneliness is highly prevalent in persons with CVLUs, has damaging effects on health, and contributes to the development of multiple chronic conditions, promotes aberrant inflammation, and diminishes healing. However, the confluence of loneliness, inflammation and the wound healing trajectory has not been elucidated; specifically whether loneliness substantially mediates systemic inflammation and alters healing over time. This study seeks to address whether there is a specific biomarker profile associated with loneliness, CVLUs, and wound healing that is different from non-lonely persons with CVLUs.

METHODS

An observational prospective study will identify, characterize and explore associations among psychosocial stressors, symptoms and biomarkers between 2 CVLU groups, with loneliness+ (n = 28) and without loneliness- (n = 28) during 4 weeks of wound treatment, measured at 3 time points. We will examine psychosocial stressors and symptoms using psychometrically-sound measures include PROMIS® and other questionnaires for loneliness, social isolation, depression, anxiety, stigma, sleep, fatigue, pain, quality of life, cognition, and function. Demographics data including health history, sex, age, wound type and size, wound age, and treatment will be recorded from the electronic health record. We will characterize a biomarker panel of inflammatory genes including chemotaxic and growth factors, vascular damage, and immune regulators that express in response to loneliness to loneliness and CVLUs using well-established RNA sequence and PCR methods for whole blood samples. In an exploratory aim we will explore whether age and sex/psychological stressors and symptoms indicate potential moderation/mediation of the effect of loneliness on the biomarker profile over the study period.

DISCUSSION

This study will provide insight into the influence of psychosocial stressors, symptoms, and biological mechanisms on wound healing, towards advancing a future healing prediction model and interventions to address these stressors and symptoms experienced by persons with CVLUs.

A Cross-Sectional Exploration of Cytokine-Symptom Networks in Breast Cancer Survivors Using Network Analysis

PURPOSE

The purpose of this study is to (a) visualize the symptom-cytokine networks (perceived stress, fatigue, loneliness, perceived cognitive impairment, daytime sleepiness, sleep quality, and 13 cytokines) and (b) explore centrality metrics of symptom-cytokine networks in breast cancer survivors who completed chemotherapy treatment.

METHODS

Cross-sectional analysis of data collected from 66 breast cancer survivors who were on average three years post chemotherapy completion. Perceived stress, fatigue, loneliness, perceived cognitive impairment, daytime sleepiness, and sleep quality were measured with self-report instruments, and a panel of 13 cytokines was measured from serum using multiplex assays. Symptoms and cytokines were simultaneously evaluated with correlations, network analysis, and community analysis.

RESULTS

Network analysis revealed the nodes with the greatest degree and closeness were interleukin-2, granulocyte-macrophage colony-stimulating factor, interleukin-13, and perceived cognitive impairment. Node betweenness was highest for perceived cognitive impairment and interleukin-2. Community analysis revealed two separate communities of nodes within the network (symptoms and the cytokines). Several edges connected the two communities including perceived cognitive impairment, stress, fatigue, depression, interleukin-2, granulocyte-macrophage colony-stimulating factor, interleukin-8, interleukin-13, and interleukin-10. Partial correlation analyses revealed significant negative relationships between interleukin-2 and fatigue, loneliness, stress, and perceived cognitive impairment (rs = -.27 to -.37, ps < .05) and a significant negative relationship between perceived cognitive impairment and granulocyte-macrophage colony-stimulating factor (r = -.34, p < .01).

CONCLUSIONS

Our analyses support that perceived cognitive impairment, stress, loneliness, depressive symptoms, and fatigue co-occur and extend the literature by suggesting that interleukin-2 may contribute to the underlying mechanistic pathway of these co-occurring symptoms. Our findings add to a growing body of literature that is shifting to study symptoms as they co-occur, or cluster, rather than individual symptoms.

Psychosocial Determinants of Chronic Disease: Implications for Lifestyle Medicine

We have previously identified a number of "determinants" of chronic disease, using the acronym NASTIE ODOURS. These have been given the collective term "anthropogens," in this journal and other publications, to help direct the management of modern chronic ailments to a monocausal focus, akin to that afforded infectious diseases by the "germ theory." We suggested the acronym NASTIE ODOURS as a starting point for a taxonomy of lifestyle medicine determinants. In the current article, we add 3, less quantifiable, but currently increasingly more important psychosocial experiences to these: Lack of Meaning, Alienation, and Loss of culture, changing the previous acronym to NASTIE MAL ODOURS. As with other determinants, all have accumulating evidence of an underlying low-grade, systemic, inflammatory physiological base ("metaflammation"), but with the need for further research to solidify these findings.

Loneliness in middle age and biomarkers of systemic inflammation: Findings from Midlife in the United States

OBJECTIVE

Middle-aged adults who are lonely have an elevated likelihood of death. Systemic inflammation may contribute to these increased odds. Using population-level data, this study tested if systemic inflammation is associated with loneliness in a broad age range of middle-aged adults in the United States.

METHODS

This study used data from the Midlife in the US (MIDUS) survey Biomarker Project, which collected data on psychological, social, and physiological measures from a sample of middle-aged adults. This sample included the 927 participants who were 35-64 years at Biomarker Project data collection. MIDUS collected baseline data from 1995-1996 and a follow-up survey was conducted from 2004-2006. The baseline Milwaukee sample of African Americans was collected in 2005-2006 and the biomarker database was collected in 2004-2009. Biomarkers were obtained from a fasting blood sample. Self-reported loneliness was categorized as feeling lonely or not feeling lonely. Hierarchical regressions examined the association between biomarkers of systemic inflammation (interleukin-6, fibrinogen, C-reactive protein) and feeling lonely, adjusted for covariates.

RESULTS

Twenty-nine percent of the sample reported feeling lonely most or some of the time. There was a positive significant relationship between loneliness and the three systemic inflammation biomarkers after controlling for covariates: interleukin-6 (n = 873) (b [se] = 0.07 [0.03], p = .014); fibrinogen (n = 867) (b [se] = 18.24 [7.12], p = .011); and C-reactive protein (n = 867) (b [se] = 0.08 [0.04], p = .035).

CONCLUSIONS

Feeling lonely is associated with systemic inflammation in middle-aged community-dwelling US adults.