Associations between recorded loneliness and adverse mental health outcomes among patients receiving mental healthcare in South London: a retrospective cohort study.

PURPOSE: Loneliness disproportionately affects people with mental disorders, but associations with mental health outcomes in groups affected remain less well understood. METHOD: A cohort of patients receiving mental healthcare on 30th June 2012 was assembled from a large mental health records database covering a south London catchment area. Recorded loneliness within the preceding 2 years was extracted using natural language processing and outcomes were measured between 30th June 2012 until 30th December 2019, except for survival which applied a censoring point of 6th December 2020 according to data available at the time of extraction. The following mental healthcare outcomes: (i) time to first crisis episode; (ii) time to first emergency presentation; (iii) all-cause mortality; (iv) days active to service per year; and (v) face-to-face contacts per year. RESULTS: Loneliness was recorded in 4,483 (16.7%) patients in the study population and fully adjusted models showed associations with subsequent crisis episode (HR 1.17, 95% CI 1.07-1.29), emergency presentation (HR 1.30, 1.21-1.40), days active per year (IRR 1.04, 1.03-1.05), and face-to-face contacts per year (IRR 1.28, 1.27-1.30). Recorded loneliness in patients with substance misuse problems was particularly strongly associated with adverse outcomes, including risk of emergency presentation (HR 1.68, 1.29-2.18) and mortality (HR 1.29, 1.01-1.65). CONCLUSION: Patients receiving mental healthcare who are recorded as lonely have a higher risk of several adverse outcomes which may require a need for higher service input.

Multimorbidity clusters among people with serious mental illness: a representative primary and secondary data linkage cohort study.

BACKGROUND: People with serious mental illness (SMI) experience higher mortality partially attributable to higher long-term condition (LTC) prevalence. However, little is known about multiple LTCs (MLTCs) clustering in this population. METHODS: People from South London with SMI and two or more existing LTCs aged 18+ at diagnosis were included using linked primary and mental healthcare records, 2012-2020. Latent class analysis (LCA) determined MLTC classes and multinominal logistic regression examined associations between demographic/clinical characteristics and latent class membership. RESULTS: The sample included 1924 patients (mean (s.d.) age 48.2 (17.3) years). Five latent classes were identified: 'substance related' (24.9%), 'atopic' (24.2%), 'pure affective' (30.4%), 'cardiovascular' (14.1%), and 'complex multimorbidity' (6.4%). Patients had on average 7-9 LTCs in each cluster. Males were at increased odds of MLTCs in all four clusters, compared to the 'pure affective'. Compared to the largest cluster ('pure affective'), the 'substance related' and the 'atopic' clusters were younger [odds ratios (OR) per year increase 0.99 (95% CI 0.98-1.00) and 0.96 (0.95-0.97) respectively], and the 'cardiovascular' and 'complex multimorbidity' clusters were older (ORs 1.09 (1.07-1.10) and 1.16 (1.14-1.18) respectively). The 'substance related' cluster was more likely to be White, the 'cardiovascular' cluster more likely to be Black (compared to White; OR 1.75, 95% CI 1.10-2.79), and both more likely to have schizophrenia, compared to other clusters. CONCLUSION: The current study identified five latent class MLTC clusters among patients with SMI. An integrated care model for treating MLTCs in this population is recommended to improve multimorbidity care.

LncRNA PRKCQ-AS1 regulates paclitaxel resistance in triple-negative breast cancer cells through miR-361-5p/PIK3C3 mediated autophagy.

Paclitaxel (PTX) resistance is a key cause of chemotherapy failure in patients with triple negative breast cancer (TNBC). The aim of this study is to investigate the effect and mechanism of long non-coding RNA (lncRNA) on the PTX resistance of TNBC cells through autophagy. MDA-MB-231 cells are used to induce the PTX-resistant TNBC cell line MDA-MB-231.PR (MDR) by increasing dose intermittently. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate the mRNA levels of phosphoinositide-3-kinase class 3 (PIK3C3), miR-361-5p and lncRNA PRKCQ-AS1 in the cells, and Western blot analysis was used to detect the protein expressions of PIK3C3, autophagy-related, drug-resistant and apoptosis-related genes. MDC staining detected the formation of autophagic vacuoles. The interactions between miR-361-5p and PIK3C3 and between lncRNA PRKCQ-AS1 and miR-361-5p were verified by dual-luciferase assay. Cell viability, apoptosis, migration and invasion were assessed by performing MTT, flow cytometry assay, and transwell assay. The mRNA level of miR-361-5p and the autophagy and drug resistance levels of TNBC PTX-resistant cells were significantly up-regulated. miR-361-5p could target autophagy-related gene PIK3C3, and overexpression of miR-361-5p could down-regulate PIK3C3 protein expression and autophagy level and PTX resistance of MDR cells. LncRNA PRKCQ-AS1 was selected through bioanalysis, and miR-361-5p could target lncRNA PRKCQ-AS1. In addition, lncRNA PRKCQ-AS1 level was up-regulated in TNBC PTX-resistant cells, and knockdown of lncRNA PRKCQ-AS1 could weaken autophagy and drug resistance level and could promote cell apoptosis. Overexpression of lncRNA PRKCQ-AS1 reversed the pro-apoptotic effect and down-regulation of autophagy and resistance levels was induced by miR-361-5p. In vivo experiments were performed to verify the role of lncRNA PRKCQ-AS1. We demonstrate that down-regulation of lncRNA PRKCQ-AS1 weakened PTX resistance and promoted cell apoptosis by miR-361-5p/PIK3C3 mediated autophagy.

MMP19 Variants in Familial and Sporadic Idiopathic Pulmonary Fibrosis.

BACKGROUND: Gene variants have been identified in patients with familial or sporadic idiopathic pulmonary fibrosis (IPF). These variants may partially account for the genetic risk of IPF. The aim of this study was to identify potential genes involved in both familial and sporadic IPF. METHODS: A Han family in northern China with four members diagnosed with IPF was investigated in this observational study. Whole-exome sequencing (WES) was used to identify germline variants underlying disease phenotypes in five members of this family. Candidate rare variants were validated by Sanger sequencing in samples from 16 family members and 119 patients with sporadic IPF. The plasma levels of proteins encoded by the above candidate genes were also examined in 16 family members, 119 other patients with sporadic IPF and 120 age- and sex-matched healthy controls. RESULTS: In a Chinese Han family, MMP19 c.1222 C > T was identified in all familial IPF patients and six offspring from generations III and IV. This variant introduces a premature stop codon, which may damage protein function. Sanger sequencing revealed that 7.6% (9/119) of sporadic IPF patients harbored three MMP19 variants. The genetic risk analysis for pulmonary fibrosis showed that MMP19 c.1499 C > T and c.1316G > A were significantly associated with an increased risk of IPF (OR 3.66, p = 0.028 and OR 8.64, p < 0.001, respectively). The plasma levels of MMP19 were significantly higher in patients with sporadic or familial IPF than in healthy controls (all p < 0.001). CONCLUSIONS: MMP19 variants were identified in familial or sporadic IPF, thus providing a potential new clue into IPF pathogenesis.

[The causal relationship between gut microbiota and male reproductive and sexual health].

OBJECTIVE: The purpose of this study was to use the MR method to explore the causal relationship between 211 gut microbiota and male reproductive and sexual health. METHODS: The MiBioGen alliance published genome-wide association study (GWAS) related genetic variation data was used as instrumental variables (IVs) for gut microbiota, and the Finngen biobank GWAS related genetic variation data was used as IVs for male infertility, abnormal sperm, sexual dysfunction, erectile dysfunction, and testicular dysfunction. The inverse variance-weighted (IVW) method was used as the MR analysis method, the results were evaluated according to the odds ratio and 95% confidence interval of the effect measures, and data sensitivity analysis was performed. RESULTS: The results showed that 6 types of gut microbiota were related to male infertility, 12 types were related to abnormal sperm, 5 types were related to sexual dysfunction, 4 types were related to erectile dysfunction, and 4 types were related to testicular dysfunction. And there was no abnormality in the data sensitivity analysis. CONCLUSION: The intestinal microbiota is closely related to male reproductive and sexual health.

Pulmonary hypertension in patients with pneumoconiosis with progressive massive fibrosis.

OBJECTIVES: This study aims to explore the prevalence and clinical features of pulmonary hypertension (PH) in patients with progressive massive fibrosis (PMF) and its correlation with large opacities on CT scans. METHODS: This retrospective study collected 235 patients with PMF, and 199 were eligible for analysis. The probability of PH development was estimated based on tricuspid regurgitation velocity measured by echocardiogram. The size and the location of large opacities on chest CT were recorded. Potential risk factors for PH secondary to PMF were analysed using regression analysis. RESULTS: The prevalence of a high or intermediate probability of PH was 39.7% in patients with PMF. Type C of large opacities (OR 6.99, 95% CI 2.34 to 23.00, p<0.001) and central type of the large opacities (OR 8.12, 95% CI 2.89 to 24.71, p<0.001) were identified as the risk factors for PH secondary to PMF. Over a median follow-up of 32.8 months, the survival rate was 73.3% in the PH group, significantly lower than that in the non-PH group (96.6%, p<0.001). CONCLUSIONS: Over one-third of patients with PMF developed PH. The increased size and the central distribution of large opacities were identified as the risk factors.

Serum Oncomarkers in Patients with MPO-ANCA-Positive Vasculitis: Diagnostic and Prognostic Predictive Values for Interstitial Lung Disease.

PURPOSE: To explore in myeloperoxidase-antineutrophil cytoplasmic autoantibody-associated vasculitis (MPO-AAV) the value of circulating oncomarkers in identifying interstitial lung disease (ILD) and predicting prognosis. METHODS: Newly diagnosed MPO-AAV patients were evaluated retrospectively at a single center. The serum levels of carbohydrate antigen (CA) 19-9, CA125, cytokeratin fraction 21-1 (CYFRA21-1), carcinoembryonic antigen, squamous cell carcinoma antigen, and neuron-specific enolase were compared between patients with and without ILD. The strength of the oncomarkers in identifying ILD was assessed through logistic regression and receiver operating characteristic (ROC) curves. Correlation analysis was applied to detect the associations between oncomarkers and ILD severity. The significance of serum oncomarkers as prognosis predictors for MPO-AAV associated ILD was evaluated by survival analysis. RESULTS: 169 MPO-AAV patients were included and ILD was found in 101 patients. Serum CA125, CA19-9, and CYFRA21-1 were significantly higher in patients with ILD than those without ILD. The area under the ROC curve of CA19-9, CA125, and CYFRA21-1 for identifying ILD was 0.701, 0.660, and 0.711, respectively. A specificity of 98.5% for diagnosing ILD was found for CA19-9 at the recommended normal level. CA19-9 was positively correlated with HRCT fibrosis score (r = 0.498, p < 0.001) and CYFRA21-1 was correlated with ground-glass score (r = 0.316, p = 0.002). Both CA19-9 and CYFRA21-1 were independent risk factors for all-cause mortality in patients with ILD. CONCLUSION: Serum CA19-9 and CYFRA21-1 might be useful markers in the diagnosis, disease severity evaluation, and prognosis prediction of MPO-AAV-associated ILD.

High-resolution computed tomography features of asbestosis versus fibrotic hypersensitivity pneumonitis: an observational study.

BACKGROUND: Asbestosis and fibrotic hypersensitivity pneumonitis (FHP) share the pathogenetic mechanisms induced bronchiolocentric fibrotic process secondary to inhalation exposure. Under the occupational and environmental mixed exposures, asbestosis and FHP are needed to make the differential diagnoses on high-resolution computed tomography (HRCT), especially in the countries still using asbestos. The study aimed to analyze the HRCT features of asbestosis versus FHP. METHODS: The patients with asbestosis or with HP were sequentially recruited in this comparative study at Beijing Chaoyang Hospital between January 2006 and December 2016. Patients' clinical data were obtained from a predesigned charts. The international classification of HRCT for occupational and environmental respiratory diseases was used to categorize chest imaging findings in patients. The calculation of test statistics was used to compare the imaging features of asbestosis and FHP. RESULTS: 341 patients with asbestosis and 158 patients with HP were sequentially recruited, among which 204 patients with asbestosis and 74 patients with FHP were eligible for data analysis. Patients with asbestosis were older and had a longer latent period until disease manifestation than those with FHP. Asbestosis was characterized by irregular and/or linear opacities, with lower lung preponderance, accompanied by ground-glass opacities and mosaic attenuation. Notably, 98.5% of patients with asbestosis showed benign pleural abnormalities, and 39.7% of these patients had diffuse pleural thickening with parenchymal bands and/or rounded atelectasis. Abnormalities of the mediastinal and diaphragmatic pleura were observed only in cases of asbestosis, and this finding showed high specificity for the diagnosis for asbestosis compared with that for FHP. Subpleural dots or diaphragmatic pleural abnormalities showed moderate sensitivity and high specificity for diagnosis of asbestosis compared with that for FHP. Interobserver reliability was good for evaluation of imaging findings including honeycombing, pleural calcification, lymphadenectasis, and lymph node calcification. CONCLUSIONS: HRCT-based imaging findings can distinguish between asbestosis and FHP to a certain extent, particularly with regard to subpleural dots and diaphragmatic pleural abnormalities that characterize the former.

Small airway dysfunction in pneumoconiosis: a cross-sectional study.

BACKGROUND: Although several histological studies have documented airway inflammation and remodelling in the small airways of dust-exposed workers, little is known regarding the prevalence and risk factors of small airway dysfunction (SAD) in pneumoconiosis. The present study investigated the prevalence and characteristics of spirometry-defined SAD in pneumoconiosis and assessed the risk factors for associated with SAD. METHODS: A total of 1255 patients with pneumoconiosis were invited to participate, of whom 1115 patients were eligible for final analysis. Spirometry was performed to assess SAD using the following three indicators: maximal mid-expiratory flow and forced expiratory flow 50% and 75%. SAD was defined as at least two of these three indicators being less than 65% of predicted value. Logistic regression analyses were used to analyse the relationships between clinical variables and SAD. RESULTS: Overall, 66.3% of patients with pneumoconiosis had SAD, among never-smokers the prevalence of SAD was 66.7%. The proportion of SAD did not differ among the subtypes of pneumoconiosis. In addition, SAD was present across the patients with all stages of pneumoconiosis. Even among those with forced expiratory volume in 1 s (FEV1) ≥ 80% and FEV1/forced vital capacity ratio ≥ 70%, 40.8% of patients had SAD. Patients with SAD were older than patients without SAD, more likely to be women and heavy smokers. Importantly, patients with SAD had more severe airflow obstruction, air trapping, and diffusion dysfunction. All patients with both pneumoconiosis and chronic obstructive pulmonary disease had SAD. Based on multivariate analysis, overall, aged 40 years and older, female sex, heavy smoking, body mass index ≥ 25.0 kg/m2 and pneumoconiosis stage III were significantly associated with increased risk of SAD. Among the never smokers, risk factors for SAD included female sex, BMI ≥ 25.0 kg/m2, pneumoconiosis stage II and stage III CONCLUSION: Spirometry-defined SAD is one of the common functional abnormalities caused by occupational dust exposure and should be taken into account when monitoring respiratory health of workers to guide the early precautions and management in pneumoconiosis.

Loneliness and the onset of new mental health problems in the general population.

PURPOSE: Loneliness is associated with poor health including premature mortality. There are cross-sectional associations with depression, anxiety, psychosis, and other mental health outcomes. However, it is not known whether loneliness is causally linked with the new onset of mental health problems in the general population. Longitudinal studies are key to understanding this relationship. We synthesized evidence from longitudinal studies investigating the relationship between loneliness and new onset of mental health problems, in the general population. METHOD: We systematically searched six electronic databases, unpublished sources, and hand-searched references, up to August 2021. We conducted a meta-analysis of eight independent cohorts and narrative synthesis of the remaining studies. RESULTS: We included 32 studies, of which the majority focused on depression. Our narrative synthesis found most studies show loneliness at baseline which is associated with the subsequent new onset of depression. The few studies on anxiety and self-harm also showed a positive association. Our meta-analysis found a pooled adjusted odds ratio of 2.33 (95% CI 1.62-3.34) for risk of new onset depression in adults who were often lonely compared with people who were not often lonely. This should be interpreted with caution given evidence of heterogeneity. CONCLUSION: Loneliness is a public mental health issue. There is growing evidence it is associated with the onset of depression and other common mental health problems. Future studies should explore its impact across the age range and in more diverse populations, look beyond depression, and explore the mechanisms involved with a view to better informing appropriate interventions.

Associations between loneliness and acute hospitalisation outcomes among patients receiving mental healthcare in South London: a retrospective cohort study.

PURPOSE: It is well known that loneliness can worsen physical and mental health outcomes, but there is a dearth of research on the impact of loneliness in populations receiving mental healthcare. This study aimed to investigate cross-sectional correlates of loneliness among such patients and longitudinal risk for acute general hospitalisations. METHOD: A retrospective observational study was conducted on the data from patients aged 18 + receiving assessment/care at a large mental healthcare provider in South London. Recorded loneliness status was ascertained among active patients on the index date, 30th Jun 2012. Acute general hospitalisation (emergency/elective) outcomes were obtained until 31st Mar 2018. Length of stay was modelled using Poisson regression models and time-to hospitalisation and time-to mortality were modelled using Cox proportional hazards regression models. RESULTS: The data from 26,745 patients were analysed. The prevalence of patients with recorded loneliness was 16.4% at the index date. In the fully adjusted model, patients with recorded loneliness had higher hazards of emergency (HR 1.15, 95% CI 1.09-1.22) and elective (1.05, 1.01-1.12) hospitalisation than patients who were not recorded as lonely, and a longer duration of both emergency (IRR 1.06, 95% CI 1.05-1.07) and elective (1.02, 1.01-1.03) general hospitalisations. There was no association between loneliness and mortality. Correlates of loneliness included having an eating disorder (OR 1.67, 95% CI 1.29-2.25) and serious mental illnesses (OR 1.44, 1.29-1.62). CONCLUSION: Loneliness in patients receiving mental healthcare is associated with higher use of general hospital services. Increased attention to the physical healthcare of this patient group is therefore warranted.

Light-intensity physical activity and mental ill health: a systematic review of observational studies in the general population.

BACKGROUND: Most of theevidence has focused on examining the influence of moderate-to-vigorous intensity physical activity on mental health, but he role of light intensity physical activity (LIPA) is less understood. The purpose of this systematic review was to assess the relationship between time spent in LIPA and mental ill health across the lifespan. METHODS: Data were obtained from online databases (Medline, Embase, Scopus, PsychInfo and CINAHL). The search and collection of eligible studies was conducted up to May 28, 2020. Observational studies conducted in the general population and reporting on the association between LIPA (1.6-2.9 metabolic equivalents; either self-reported or device-based measured) and mental ill health were included. RESULTS: Twenty-two studies were included in the review (16 cross-sectional and 6 longitudinal). In older adults (≥ 65 years) and adults (18-64 years), the evidence examining the relationship between LIPA and depressive symptoms is mixed. Data on anxiety, psychological distress and overall mental health are scarce, and results are inconclusive. There is no evidence suggesting favorable associations between LIPA and anxiety in college students. Finally, very limited data was found in adolescents (11-17 years) (n = 2 studies) and children (6-10 years) (n = 2 studies), but the evidence suggests that LIPA does not influence mental health outcomes in these age groups. CONCLUSIONS: This review provided mostly cross-sectional evidence indicating that LIPA may not be associated with mental health outcomes across age groups. Future research efforts employing prospective research designs are warranted to better understand the role of LIPA on mental ill health across age groups.

Multimorbidity and obesity in older adults from six low- and middle-income countries.

Prevalence of multimorbidity (i.e., ≥2 chronic conditions), chronic diseases, and obesity is increasing in low- and middle-income countries (LMICs), posing a potential threat to the health of older adults living in these areas. This study hence investigates the unexplored association between obesity and multimorbidity among older adults from LMICs. Cross-sectional, community-based data from the WHO Study on global Ageing and adult health (SAGE) were analysed. The sample consisted of 20,198 individuals aged ≥60 years [Mean age (SD) = 69.3 (13.1) years; 54.1% female] from China, India, Ghana, Mexico, Russia, South Africa. Twelve chronic conditions were assessed. Multivariable logistic regression was conducted to assess the association between BMI ≥ 30 kg/m2, high waist circumference (WC, cut-points > 102 cm for males and > 88 cm for females) and multimorbidity. After adjusting for potential confounders, overall, BMI ≥ 30 kg/m2 was associated with 1.43 (95%CI = 1.21-1.69) times higher odds for multimorbidity, while this estimate for high WC was 1.50 (95%CI = 1.21-1.86). Significant associations emerged between obesity measures and five out of twelve chronic conditions. Results from this study underline the need to reduce obesity among older adults in areas where its prevalence is increasing, as it is associated with increased odds for multimorbidity. Future longitudinal research in this setting is required to assess the impact of obesity reduction on multimorbidity incidence.

Trajectories of loneliness and objective social isolation and associations between persistent loneliness and self-reported personal recovery in a cohort of secondary mental health service users in the UK.

BACKGROUND: Loneliness is a frequent and distressing experience among people with mental health problems. However, few longitudinal studies have so far investigated the trajectories of loneliness and objective social isolation, and the extent to which both issues may impact mental health outcomes among mental health service users. Therefore, this study aims to describe the trajectories of loneliness and objective social isolation and their associations with self-rated personal recovery among people leaving crisis resolution teams (CRTs). METHODS: A total of 224 participants receiving care from CRTs (recruited for a large multi-site randomised controlled trial) were included in this longitudinal cohort study. They completed the eight-item University of California at Los Angeles Loneliness Scale (ULS-8), Lubben-Social Network Scale (LNSN-6), and the Questionnaire about the Process of Recovery (QPR) (primary outcome) at baseline, 4- and 18-month follow-up, as well as baseline sociodemographic and clinical variables. RESULTS: We compared groups who were persistently lonely (at all time points), intermittently lonely (at one or two time points) and never lonely. After adjusting for all potential confounders and baseline predictive variables, persistent severe loneliness was associated with worse personal recovery at 18-month follow-up compared with the never lonely (reference group) (coef. = - 12.8, 95% CI -11.8, - 3.8, p < .001), as was being intermittently lonely (coef. = - 7.8, 95% CI -18.8, - 6.8, p < .001). The persistently objectively social isolated group (coef. = - 9.8, 95% CI -15.7, - 3.8, p = .001) also had poorer self-rated recovery at 18-month follow-up than those who were not socially isolated at any timepoint (i.e., reference category). CONCLUSION: Results suggest that both persistent loneliness and objective social isolation are associated with poorer self-rated recovery following a crisis, compatible with a causal relationship. These findings suggest a potential role for interventions aimed at alleviating loneliness and objective social isolation in improving recovery outcomes for people with mental health symptoms. Increased awareness of both issues among health practitioners is also warranted.

PI1M: A Benchmark Database for Polymer Informatics.

Open-source data on large scale are the cornerstones for data-driven research, but they are not readily available for polymers. In this work, we build a benchmark database, called PI1M (referring to ∼1 million polymers for polymer informatics), to provide data resources that can be used for machine learning research in polymer informatics. A generative model is trained on ∼12 000 polymers manually collected from the largest existing polymer database PolyInfo, and then the model is used to generate ∼1 million polymers. A new representation for polymers, polymer embedding (PE), is introduced, which is then used to perform several polymer informatics regression tasks for density, glass transition temperature, melting temperature, and dielectric constants. By comparing the PE trained by the PolyInfo data and that by the PI1M data, we conclude that the PI1M database covers similar chemical space as PolyInfo, but significantly populate regions where PolyInfo data are sparse. We believe that PI1M will serve as a good benchmark database for future research in polymer informatics.

Loneliness as a predictor of outcomes in mental disorders among people who have experienced a mental health crisis: a 4-month prospective study.

BACKGROUND: Loneliness has not until recently been a prominent focus in research on outcomes of mental illness. The aim of this study was to determine whether loneliness at baseline predicts poor outcomes at 4-month follow-up for individuals who have experienced mental health crises. The outcomes in this study included overall symptom severity, affective symptoms, self-rated recovery and health-related quality of life. METHODS: Our study reports a secondary analysis of data from a randomised controlled trial. The sample (n = 399) was taken from patients who received treatment from community crisis services. Respondents (n = 310) completed the follow-up measurement 4 months after baseline. Loneliness at baseline was assessed using an eight-item UCLA Loneliness Scale. The four mental health outcomes were measured at both baseline and follow-up. Two scales (or part thereof) assessed objective social isolation and neighbourhood social capital at baseline. Regression analyses were conducted to investigate longitudinal associations between loneliness at baseline and mental health outcomes at follow-up. RESULTS: Loneliness at baseline was associated with all four mental health outcomes at 4-month follow-up, adjusting for psychosocial, socio-demographic and clinical characteristics. A one-point higher loneliness score was associated with 0.74-point (95% CI 0.45, 1.02) and 0.34-point (95% CI 0.21, 0.47) increase in overall symptom severity score and affective symptoms score respectively, and with 1.08-point (95% CI -1.45, - 0.71) and 1.27-point (95% CI -1.79, - 0.75) decrease in self-rated recovery score and health-related quality of life score respectively. Loneliness was a better predictor of clinical outcomes than objective social isolation and social capital, even though the associations with clinical outcomes were reduced and no longer statistically significant following adjustment for their baseline values. A significant association with quality of life persisted after adjustment for its baseline score. CONCLUSIONS: Greater loneliness at baseline predicted poorer health-related quality of life at follow-up. There were cross-sectional associations between loneliness and clinical outcomes, but their longitudinal relationship cannot be confirmed. Further research is needed to clearly establish their underpinning pathways. Reducing loneliness may be a promising target to improve recovery for mental health community crisis service users.

Epidemiology of loneliness in a cohort of UK mental health community crisis service users.

PURPOSE: Loneliness is an important issue for mental health service users. However, it has not been a particularly prominent focus of recent mental health research. This paper aimed to explore the severity of loneliness among people leaving mental health community crisis services, and to identify factors associated with loneliness. METHODS: A total of 399 participants experiencing mental health crises recruited for a research trial from community crisis services were included in this cross-sectional study. They completed the eight-item measure of the University of California at Los Angeles Loneliness Scale and a set of instruments assessing socio-demographic, psychosocial, and psychiatric variables. RESULTS: Severity of loneliness was high among people leaving community crisis services. Longer years since first contact with mental health services (2-10 years, coefficient = 1.83, 95% CI 0.49-3.16; more than 10 years, coefficient = 1.91, 95% CI 0.46-3.36) and more severe affective symptoms (coefficient = 0.32, 95% CI 0.23-0.40) were associated with greater loneliness, whereas bigger social network size (coefficient = - 0.56, 95% CI - 0.76 to - 0.36) and greater social capital (coefficient = - 0.16, 95% CI - 0.31 to - 0.003) were associated with less severe loneliness. CONCLUSIONS: This paper supports a view that people experiencing mental health crises often report relatively severe loneliness, and that loneliness tends to become more severe during the course of illness. A greater awareness of loneliness among mental health professionals may be beneficial. Loneliness is a potential focus of the development of interventions to improve the lives and outcomes of people with significant mental health problems.

The effectiveness of interventions for reducing subjective and objective social isolation among people with mental health problems: a systematic review.

PURPOSE: Subjective and objective social isolation are important factors contributing to both physical and mental health problems, including premature mortality and depression. This systematic review evaluated the current evidence for the effectiveness of interventions to improve subjective and/or objective social isolation for people with mental health problems. Primary outcomes of interest included loneliness, perceived social support, and objective social isolation. METHODS: Three databases were searched for relevant randomised controlled trials (RCTs). Studies were included if they evaluated interventions for people with mental health problems and had objective and/or subjective social isolation (including loneliness) as their primary outcome, or as one of a number of outcomes with none identified as primary. RESULTS: In total, 30 RCTs met the review's inclusion criteria: 15 included subjective social isolation as an outcome and 11 included objective social isolation. The remaining four evaluated both outcomes. There was considerable variability between trials in types of intervention and participants' characteristics. Significant results were reported in a minority of trials, but methodological limitations, such as small sample size, restricted conclusions from many studies. CONCLUSION: The evidence is not yet strong enough to make specific recommendations for practice. Preliminary evidence suggests that promising interventions may include cognitive modification for subjective social isolation, and interventions with mixed strategies and supported socialisation for objective social isolation. We highlight the need for more thorough, theory-driven intervention development and for well-designed and adequately powered RCTs.

Evaluating Polymer Representations via Quantifying Structure-Property Relationships.

Machine learning techniques are being applied in quantifying structure-property relationships for a wide variety of materials, where the properly represented materials play key roles. Although algorithms for representation learning are extensively studied, their applications to domain-specific areas, such as polymers, are limited largely due to the lack of benchmark databases. In this work, we investigate different types of polymer representations, including Morgan fingerprint (MF), molecular embedding (ME), and molecular graph (MG), based on the benchmark database from a subset of the well-known web-based polymer databases, PolyInfo. We evaluate the quality of different polymer representations via quantifying the relationships between the representations and polymer properties, including density, melting temperature, and glass transition temperature. Different representation learning schemes for MEs, such as supervised learning, semisupervised learning, and transfer learning, are investigated. In supervised learning, only labeled molecules in our benchmark database are used for representation learning, in semisupervised learning, both labeled and unlabeled molecules in our benchmark database are used, and in transfer learning, molecules from an external database that is different from the benchmark database are used for representation learning. It is found that ME (with the R2 of 0.724 in the density case, 0.684 in the melting temperature case, and 0.865 in the glass transition temperature case) outperforms the other representations for structure-property relationship quantification in all cases studied, and MG (with the R2 of 0.260 in the density case, -0.149 in the melting temperature case, and 0.711 in the glass transition case) is shown to be much inferior to ME and MF (with the R2 of 0.562 in the density case, 0.645 in the melting temperature case, and 0.849 in the glass transition case), likely due to the relatively small volumes of training data available. For MEs, it is found that the similarities of substructure MEs under different learning schemes (e.g., SL, SSL, and TL) are differently estimated, thus leading to different performance scores in structure-property relation quantification. Combinations of MEs show little effect on predictive performance when comparing to the single MEs in the corresponding regression tasks, proving no information gain in mixing MEs.

Associations between loneliness and perceived social support and outcomes of mental health problems: a systematic review.

BACKGROUND: The adverse effects of loneliness and of poor perceived social support on physical health and mortality are established, but no systematic synthesis is available of their relationship with the outcomes of mental health problems over time. In this systematic review, we aim to examine the evidence on whether loneliness and closely related concepts predict poor outcomes among adults with mental health problems. METHODS: We searched six databases and reference lists for longitudinal quantitative studies that examined the relationship between baseline measures of loneliness and poor perceived social support and outcomes at follow up. Thirty-four eligible papers were retrieved. Due to heterogeneity among included studies in clinical populations, predictor measures and outcomes, a narrative synthesis was conducted. RESULTS: We found substantial evidence from prospective studies that people with depression who perceive their social support as poorer have worse outcomes in terms of symptoms, recovery and social functioning. Loneliness has been investigated much less than perceived social support, but there is some evidence that greater loneliness predicts poorer depression outcome. There is also some preliminary evidence of associations between perceived social support and outcomes in schizophrenia, bipolar disorder and anxiety disorders. CONCLUSIONS: Loneliness and quality of social support in depression are potential targets for development and testing of interventions, while for other conditions further evidence is needed regarding relationships with outcomes.