Socio-economic differences in remote schoolwork during the COVID-19 pandemic: a trend analysis of the 2020 and 2021 school-closure periods using the UK Understanding Society data.

In the United Kingdom, the COVID-19 pandemic in 2020 and 2021 led to two extended periods of school closures. Research on inequality of learning opportunity as a result of these closures used a single indicator of socio-economic status, neglecting important determinants of remote learning. Using data from the Understanding Society (USoc) COVID-19 surveys we analysed the levels and differentials in the uptake of remote schoolwork using parental social class, information technology (IT) availability in the home and parental working patterns to capture the distinct resources that families needed to complete remote schoolwork. This is also the first study to assess the extent to which the differentials between socio-economic groups changed between the first and second school-closure periods caused by the pandemic. We found that each of the three factors showed an independent association with the volume of remote schoolwork and that their effect was magnified by their combination. Children in families where the main parent was in an upper-class occupation, where both parents worked from home and where the children had their own IT spent more time doing remote schoolwork than other groups, particularly compared to children of single parents who work from home, children in families where the main parent was in a working-class occupation, where the child had to share IT, and where the parents did not work regularly from home. The differentials between socio-economic groups in the uptake of schoolwork were found to be stable between the two school-closure periods.

COPD Exacerbations Before and During COVID-19 in France, Germany, Italy, the UK and the US.

Background: Exacerbations of chronic obstructive pulmonary disease (COPD) were reported less frequently during the COVID-19 pandemic. We report real-world data on COPD exacerbation rates before and during this pandemic. Methods: Exacerbation patterns were analysed using electronic medical records or claims data of patients with COPD before (2017-2019) and during the COVID-19 pandemic (2020 through early 2022) in France, Germany, Italy, the United Kingdom and the United States. Data from each country were analysed separately. The proportions of patients with COPD receiving maintenance treatment were also estimated. Results: The proportion of patients with exacerbations fell 45-78% across five countries in 2020 versus 2019. Exacerbation rates in most countries were reduced by >50% in 2020 compared with 2019. The proportions of patients with an exacerbation increased in most countries in 2021. Across each country, seasonal exacerbation increases seen during autumn and winter in pre-pandemic years were absent during the first year of the pandemic. The percentage of patients filling COPD prescriptions across each country increased by 4.53-22.13% in 2019 to 9.94-34.17% in 2021. Conclusion: Early, steep declines in exacerbation rates occurred in 2020 versus 2019 across all five countries and were accompanied by a loss of the seasonal pattern of exacerbation.

Exploring the psychosocial burden of foot complications in diabetes: A cross-sectional survey and qualitative interview study in a United Kingdom coastal community.

BACKGROUND: Foot complications in diabetes are common and destructive, resulting in substantial healthcare costs and high rates of morbidity. Coastal areas have a significantly higher burden of disease. People with diabetes experience disproportionately high rates of psychological health issues, including anxiety, depression and diabetes distress. These can affect self-management and concordance with preventive measures and treatments of foot complications, negatively impacting on outcomes. Access to psychological health services is variable across the United Kingdom and there is a paucity of high-quality evidence for the effectiveness of treatments for diabetes distress. This study aimed to explore experiences of psychosocial burden and perceptions and experiences of psychosocial support, among patients with diabetes and foot complications living in a coastal area. METHODS: Patients were eligible to participate if they had experienced diabetes-related foot complications (amputation, ulceration and/or Charcot neuroarthropathy) within the last 5 years and scored positive for diabetes distress on a validated screening tool (DDS2). Eligible patients completed cross-sectional questionnaires describing symptoms of diabetes distress (DDS17), anxiety (GAD-7) and depression (PHQ-9) and to take part in a face-to-face, semi-structured interview. Questionnaires were analysed using frequencies and interviews were analysed using reflexive thematic analysis. RESULTS: A total of 183 patients completed the DDS2 screening questionnaire. Of these, 56 (30.6%) screened positive for diabetes distress. Twenty-seven patients completed DDS17, GAD-7 and PHQ-9 questionnaires. Eleven (40.7%) participants indicated high levels of diabetes distress and four (14.8%) indicated moderate distress. Seventeen participants (age range 52-81 years; 12 men) took part in an interview. Four key themes were identified: impact of living with foot problems; emotional consequences of foot problems; experiences and perceptions of psychological support; and strategies to cope with the emotional impact of foot problems. CONCLUSION: Diabetes distress was prevalent among patients with diabetes-related foot complications. Foot problems impacted on participants' daily activities, social lives and ability to work. Despite expressing feelings of ongoing fear, worry and depression relating to their foot problems, only one participant had accessed formal psychological support. Many participants relied on talking to podiatrists at routine appointments and described developing various strategies to cope. The psychosocial burden of living with foot complications in diabetes must not be overlooked by health professionals. Findings from this study can inform the design of future services and interventions.

COVID-19 preparedness and response in the Pitcairn Islands: keeping one of the world's smallest and most isolated populations safe in a pandemic.

Problem: While the COVID-19 pandemic threatened the entire world, the extremely remote Pitcairn Islands faced unique vulnerabilities. With only a physician and a nurse to care for an ageing population of fewer than 40 residents, and with very limited referral pathways, Pitcairn encountered distinct challenges in preparing for and responding to the COVID-19 pandemic. Context: The Pitcairn Islands is an overseas territory of United Kingdom of Great Britain and Northern Ireland consisting of four islands in the South Pacific: Pitcairn, Henderson, Ducie and Oeno. Pitcairn is the only inhabited island with a local resident population of approximately 31 people, around half of whom were over 60 years old in 2023. The islands are only accessible by sea and are located more than 2000 km from the nearest referral hospital in French Polynesia. Actions: Pitcairn's Island Council took aggressive action to delay the importation of SARS-CoV-2, vaccinate its small population and prepare for the potential arrival of the virus. Outcomes: As of May 2024, Pitcairn was one of the only jurisdictions in the world not to have had a single COVID-19 hospitalization or death. Nevertheless, the pandemic presented the islands' population with many economic, social and health challenges. Discussion: Pitcairn's population avoided COVID-19-related hospitalizations and deaths despite its elderly population's vulnerability to COVID-19, a significant level of comorbidities, and limited clinical management capabilities and options for emergency referrals. The pandemic highlighted some of the population's health vulnerabilities while also underscoring some of their innate strengths.

Association of genetic risk, lifestyle, and their interaction with obesity and obesity-related morbidities.

The extent to which modifiable lifestyle factors offset the determined genetic risk of obesity and obesity-related morbidities remains unknown. We explored how the interaction between genetic and lifestyle factors influences the risk of obesity and obesity-related morbidities. The polygenic score for body mass index was calculated to quantify inherited susceptibility to obesity in 338,645 UK Biobank European participants, and a composite lifestyle score was derived from five obesogenic factors (physical activity, diet, sedentary behavior, alcohol consumption, and sleep duration). We observed significant interaction between high genetic risk and poor lifestyles (pinteraction < 0.001). Absolute differences in obesity risk between those who adhere to healthy lifestyles and those who do not had gradually expanded with an increase in polygenic score. Despite a high genetic risk for obesity, individuals can prevent obesity-related morbidities by adhering to a healthy lifestyle and maintaining a normal body weight. Healthy lifestyles should be promoted irrespective of genetic background.

Survey assessing foot trimmer involvement in managing lameness in UK beef cattle.

BACKGROUND: Cattle lameness is a significant welfare and economic problem facing the livestock industry. Published research has investigated foot trimming practices in dairy herds, but little is known about the practices in beef herds. Therefore, the objective of this study was to obtain information about the current practices of professional cattle foot trimmers concerning beef cattle within the UK. METHODS: An online survey comprising 16 questions was created using the Joint Information Systems Committee platform. The survey was open for 3 months. RESULTS: There was a significant difference (p < 0.05) between the proportions of dairy cattle and beef cattle receiving preventative foot trims. Digital dermatitis was the most commonly recorded cause of lameness when a lame beef animal was trimmed by the respondents, followed by white line disease. A thematic analysis of foot trimmers' opinions of barriers to engagement on beef farms is presented, in addition to their opinions on veterinary involvement with beef lameness. LIMITATIONS: Distribution bias may have affected the results, as the survey was distributed online with support from the Cattle Hoof Care Standards Board and the National Association of Cattle Hoof Trimmers. The percentage of foot trimmers not affiliated with either professional body is not known. CONCLUSION: Further research on the impact of lameness on suckler and finishing cattle, including investigations into preventative actions to reduce lameness in beef systems, is warranted.

Artificial sweeteners and risk of incident cardiovascular disease and mortality: evidence from UK Biobank.

BACKGROUND: Artificial sweeteners are widely popular worldwide as substitutes for sugar or caloric sweeteners, but there are still several important unknowns and controversies regarding their associations with cardiovascular disease (CVD). We aimed to extensively assess the association and subgroup variability between artificial sweeteners and CVD and CVD mortality in the UK Biobank cohort, and further investigate the modification effects of genetic susceptibility and the mediation role of type 2 diabetes mellitus (T2DM). METHODS: This study included 133,285 participants in the UK Biobank who were free of CVD and diabetes at recruitment. Artificial sweetener intake was obtained from repeated 24-hour diet recalls. Cox proportional hazard models were used to estimate HRs. Genetic predisposition was estimated using the polygenic risk score (PRS). Furthermore, time-dependent mediation was performed. RESULTS: In our study, artificial sweetener intake (each teaspoon increase) was significantly associated with an increased risk of incident overall CVD (HR1.012, 95%CI: 1.008,1.017), coronary artery disease (CAD) (HR: 1.018, 95%CI: 1.001,1.035), peripheral arterial disease (PAD) (HR: 1.035, 95%CI: 1.010,1.061), and marginally significantly associated with heart failure (HF) risk (HR: 1.018, 95%CI: 0.999,1.038). In stratified analyses, non-whites were at greater risk of incident overall CVD from artificial sweetener. People with no obesity (BMI < 30 kg/m2) also tended to be at greater risk of incident CVD from artificial sweetener, although the obesity interaction is not significant. Meanwhile, the CVD risk associated with artificial sweeteners is independent of genetic susceptibility, and no significant interaction exists between genetic susceptibility and artificial sweeteners in terms of either additive or multiplicative effects. Furthermore, our study revealed that the relationship between artificial sweetener intake and overall CVD is significantly mediated, in large part, by prior T2DM (proportion of indirect effect: 70.0%). In specific CVD subtypes (CAD, PAD, and HF), the proportion of indirect effects ranges from 68.2 to 79.9%. CONCLUSIONS: Our findings suggest significant or marginally significant associations between artificial sweeteners and CVD and its subtypes (CAD, PAD, and HF). The associations are independent of genetic predisposition and are mediated primarily by T2DM. Therefore, the large-scale application of artificial sweeteners should be prudent, and the responses of individuals with different characteristics to artificial sweeteners should be better characterized to guide consumers' artificial sweeteners consumption behavior.

Associations of metabolic changes and polygenic risk scores with cardiovascular outcomes and all-cause mortality across BMI categories: a prospective cohort study.

BACKGROUND: Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility underlying these associations remains unexplored. We aimed to examine how metabolic status, metabolic transitions, and genetic susceptibility collectively impact cardiovascular outcomes and all-cause mortality across diverse body mass index (BMI) categories. METHODS: In our analysis of the UK Biobank, we included a total of 481,576 participants (mean age: 56.55; male: 45.9%) at baseline. Metabolically healthy (MH) status was defined by the presence of < 3 abnormal components (waist circumstance, blood pressure, blood glucose, triglycerides, and high-density lipoprotein cholesterol). Normal weight, overweight, and obesity were defined as 18.5 ≤ BMI < 25 kg/m2, 25 ≤ BMI < 30 kg/m2, and BMI ≥ 30 kg/m2, respectively. Genetic predisposition was estimated using the polygenic risk score (PRS). Cox regressions were performed to evaluate the associations of metabolic status, metabolic transitions, and PRS with cardiovascular outcomes and all-cause mortality across BMI categories. RESULTS: During a median follow-up of 14.38 years, 31,883 (7.3%) all-cause deaths, 8133 (1.8%) cardiovascular disease (CVD) deaths, and 67,260 (14.8%) CVD cases were documented. Among those with a high PRS, individuals classified as metabolically healthy overweight had the lowest risk of all-cause mortality (hazard ratios [HR] 0.70; 95% confidence interval [CI] 0.65, 0.76) and CVD mortality (HR 0.57; 95% CI 0.50, 0.64) compared to those who were metabolically unhealthy obesity, with the beneficial associations appearing to be greater in the moderate and low PRS groups. Individuals who were metabolically healthy normal weight had the lowest risk of CVD morbidity (HR 0.54; 95% CI 0.51, 0.57). Furthermore, the inverse associations of metabolic status and PRS with cardiovascular outcomes and all-cause mortality across BMI categories were more pronounced among individuals younger than 65 years (Pinteraction < 0.05). Additionally, the combined protective effects of metabolic transitions and PRS on these outcomes among BMI categories were observed. CONCLUSIONS: MH status and a low PRS are associated with a lower risk of adverse cardiovascular outcomes and all-cause mortality across all BMI categories. This protective effect is particularly pronounced in individuals younger than 65 years. Further research is required to confirm these findings in diverse populations and to investigate the underlying mechanisms involved.

Outbreak of Ralstonia pickettii associated with contamination of saline products distributed internationally, the United Kingdom, 2024.

We describe an outbreak of Ralstonia pickettii in the United Kingdom, with isolates genetically indistinguishable from a 2023 Australian outbreak linked to internationally distributed saline solutions. Confirmed cases (n = 3) had bacteraemia, clinically relevant infection, indwelling venous lines and frequent healthcare contact. Multi-stakeholder intervention was required including product recall and risk communications. We recommend a low threshold for investigating clusters of Ralstonia species and similar opportunistic pathogens, considering contaminated product sources. Effective mitigation requires multi-agency partnership and international collaboration.

Association between alcohol consumption and all-cause mortality, cardiovascular disease, and chronic kidney disease: A prospective cohort study.

In recent years, significant progress has been achieved in comprehending the impact of alcohol consumption on adverse health outcomes. However, the quality of evidence remains limited. Our objective was to conduct a prospective study examining the relationship between different types of alcoholic beverages and the risk of all-cause mortality, cardiovascular disease (CVD), and chronic kidney disease (CKD), and identifying the thresholds of safe dose stratified by sex using data from the UK Biobank. 502,490 participants were enrolled. These participants were initially registered between 2006 and 2010, and underwent reassessment between 2012 and 2013. All participants completed a detailed questionnaire on their alcohol consumption, including total alcohol consumption yesterday, weekly consumption of red wine, champagne plus white wine, beer, spirits, and fortified wine. All-cause mortality and the incidence of CVD and CKD were considered as the primary outcomes. 2852 participants reported CKD during a median follow-up period of 11.94 years, while 79,958 participants reported CVD over a median follow-up period of 11.35 years. Additionally, 18,923 participants died over a median follow-up period of 11.89 years. After adjusting for variables such as age, sex, education level, smoking status, diet score, and exercise score, total alcohol consumption showed a U-shaped relationship with the risk of CVD and all-cause mortality, but showed an inverse association with the risk of CKD. Upon further classification of alcoholic beverages, our analysis revealed that red wine, champagne plus white wine, beer, spirits, and fortified wine presented a U-shaped relationship with the risk of all-cause mortality and CKD. However, spirits were positively associated with the risk of CVD, only red wine, champagne plus white wine, beer, and fortified wine showed a U-shaped relationship with the risk of CVD. The safe doses of total alcohol consumption should be < 11 g/d for males and < 10 for females, red wine consumption should be < 7 glasses/week for males and < 6 for females, champagne plus white wine consumption should be < 5 glasses/week, and fortified wine consumption should be < 4 glasses/week. Red wine, champagne plus white wine, beer, and fortified wine below the corresponding thresholds of safe dose in our analysis were significantly associated with a lower risk of all-cause mortality, CVD, and CKD. And these alcoholic beverages under safe doses exhibited a protective effect against conditions like diabetes, depression, dementia, epilepsy, liver cirrhosis, and other digestive diseases, while didn't increase the risk of cancer.

Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data.

BACKGROUND: Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data. METHODS: 2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were identified from the NIHR Health Informatics Collaborative database. Partition-based, model-based, and density-based machine learning clustering techniques were applied. Cox Proportional Hazards and Fine-Gray competing risks models were used to compare outcomes (all-cause mortality and hospitalisation for HF) across phenogroups. RESULTS: Three phenogroups were identified: (1) Younger, predominantly female patients with high prevalence of cardiometabolic and coronary disease; (2) More frail patients, with higher rates of lung disease and atrial fibrillation; (3) Patients characterised by systemic inflammation and high rates of diabetes and renal dysfunction. Survival profiles were distinct, with an increasing risk of all-cause mortality from phenogroups 1 to 3 (p < 0.001). Phenogroup membership significantly improved survival prediction compared to conventional factors. Phenogroups were not predictive of hospitalisation for HF. CONCLUSIONS: Applying unsupervised machine learning to routinely collected electronic health record data identified phenogroups with distinct clinical characteristics and unique survival profiles.

Exploring patient experiences of surveillance for pancreatic cystic neoplasms: a qualitative study.

BACKGROUND: Pancreatic cystic neoplasms (PCN) are considered premalignant conditions to pancreatic adenocarcinoma with varying degrees of cancerous potential. Management for individuals who do not require surgical treatment involves surveillance to assess for cancerous progression. Little is known about patients' experience and the impact of living with surveillance for these lesions. AIMS: To explore the experiences of patients living with surveillance for PCNs. METHODS: Semi-structured qualitative interviews were conducted with patients under surveillance for pancreatic cystic neoplasms in the UK. Age, gender, time from surveillance and surveillance method were used to purposively sample the patient group. Data were analysed using reflexive thematic analysis. RESULTS: A PCN diagnosis is incidental and unexpected and for some, the beginning of a disruptive experience. How patients make sense of their PCN diagnosis is influenced by their existing understanding of pancreatic cancer, explanations from clinicians and the presence of coexisting health concerns. A lack of understanding of the diagnosis and its meaning for their future led to an overarching theme of uncertainty for the PCN population. Surveillance for PCN could be seen as a reminder of fears of PCN and cancer, or as an opportunity for reassurance. CONCLUSIONS: Currently, individuals living with surveillance for PCNs experience uncertainty with a lack of support in making sense of a prognostically uncertain diagnosis with no immediate treatment. More research is needed to identify the needs of this population to make improvements to patient care and reduce negative experiences.

Clinical practice guideline for the management of lipids in adults with diabetic kidney disease: abbreviated summary of the Joint Association of British Clinical Diabetologists and UK Kidney Association (ABCD-UKKA) Guideline 2024.

The contribution of chronic kidney disease (CKD) towards the risk of developing cardiovascular disease (CVD) is magnified with co-existing type 1 or type 2 diabetes. Lipids are a modifiable risk factor and good lipid management offers improved outcomes for people with diabetic kidney disease (DKD).The primary purpose of this guideline, written by the Association of British Clinical Diabetologists (ABCD) and UK Kidney Association (UKKA) working group, is to provide practical recommendations on lipid management for members of the multidisciplinary team involved in the care of adults with DKD.

The causality between leisure sedentary behaviors, physical activity and obstructive sleep apnea: a bidirectional Mendelian randomization study.

Background: Previous observational studies have shown a correlation between leisure sedentary behaviors (LSB) and physical activity (PA) with the incidence of obstructive sleep apnea (OSA). However, the causal associations remain unknown. Therefore, our study used bidirectional two-sample Mendelian randomization (MR) to identify potential causal relationships between LSB/PA and OSA. Methods: We sourced genetic variation data for LSB and PA from the UK Biobank, while data on OSA were collected from the FinnGen study. The primary analysis method employed was the inverse variance weighted (IVW) approach, complemented by the weighted median and MR-Egger methods. For sensitivity analyses, we conducted Cochran's Q test, the MR-Egger intercept test, the MR-PRESSO global test, and the leave-one-out analysis. Results: IVW analyses showed that genetically predicted leisure television watching (odds ratio [OR] = 1.38, 95% confidence interval [CI] = 1.09-1.75, p = 0.007) and computer use (OR = 1.48, 95% CI = 1.15-1.92, p = 0.002) significantly increased the risk of OSA. Conversely, self-reported vigorous physical activity (VPA) (OR = 0.33, 95% CI = 0.11-0.98, p = 0.046) may reduce the risk of OSA. No causal effects on OSA risk were observed for driving or self-reported moderate-to-vigorous physical activity. Furthermore, the reverse MR analysis indicated no significant causal relationship between OSA and any LSB/PA phenotype. Sensitivity tests showed no significant heterogeneity or horizontal pleiotropy. Conclusion: This study suggests that leisurely television watching and computer use are risk factors for OSA, while VPA may be a protective factor. Additionally, OSA does not affect PA or LSB levels. We recommend reducing sedentary activities, particularly television watching and computer use, and prioritizing VPA to reduce the risk of OSA. Further research in diverse populations and settings is needed to validate these findings.

Prediction of Future Parkinson Disease Using Plasma Proteins Combined With Clinical-Demographic Measures.

BACKGROUND AND OBJECTIVES: Identification of individuals at high risk of developing Parkinson disease (PD) several years before diagnosis is crucial for developing treatments to prevent or delay neurodegeneration. This study aimed to develop predictive models for PD risk that combine plasma proteins and easily accessible clinical-demographic variables. METHODS: Using data from the UK Biobank (UKB), which recruited participants across the United Kingdom, we conducted a longitudinal study to identify predictors for incident PD. Participants with baseline plasma proteins and no PD were included. Through machine learning, we narrowed down predictors from a pool of 1,463 plasma proteins and 93 clinical-demographic. These predictors were then externally validated using the Parkinson's Progression Marker Initiative (PPMI) cohort. To further investigate the temporal trends of predictors, a nested case-control study was conducted within the UKB. RESULTS: A total of 52,503 participants without PD (median age 58, 54% female) were included. Over a median follow-up duration of 14.0 years, 751 individuals were diagnosed with PD (median age 65, 37% female). Using a forward selection approach, we selected a panel of 22 plasma proteins for optimal prediction. Using an ensemble tree-based Light Gradient Boosting Machine (LightGBM) algorithm, the model achieved an area under the receiver operating characteristic curve (AUC) of 0.800 (95% CI 0.785-0.815). The LightGBM prediction model integrating both plasma proteins and clinical-demographic variables demonstrated enhanced predictive accuracy, with an AUC of 0.832 (95% CI 0.815-0.849). Key predictors identified included age, years of education, history of traumatic brain injury, and serum creatinine. The incorporation of 11 plasma proteins (neurofilament light, integrin subunit alpha V, hematopoietic PGD synthase, histamine N-methyltransferase, tubulin polymerization promoting protein family member 3, ectodysplasin A2 receptor, Latexin, interleukin-13 receptor subunit alpha-1, BAG family molecular chaperone regulator 3, tryptophanyl-TRNA synthetase, and secretogranin-2) augmented the model's predictive accuracy. External validation in the PPMI cohort confirmed the model's reliability, producing an AUC of 0.810 (95% CI 0.740-0.873). Notably, alterations in these predictors were detectable several years before the diagnosis of PD. DISCUSSION: Our findings support the potential utility of a machine learning-based model integrating clinical-demographic variables with plasma proteins to identify individuals at high risk for PD within the general population. Although these predictors have been validated by PPMI, additional validation in a more diverse population reflective of the general community is essential.

Greater adherence to the Mediterranean Dietary Approaches to Stop Hypertension Intervention for Neurodegenerative Delay (MIND) diet is associated with lower risk of inflammatory bowel disease: a prospective cohort study.

Background: The Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet is emerging as a promising candidate for preventive measures against inflammatory bowel disease (IBD), though there is currently no direct evidence from population-based studies. This study aims to bridge the gap in understanding of the association of the MIND diet with IBD risk. Methods: We utilized data from 187 490 participants in the UK Biobank who provided dietary information and were free of IBD at baseline. Dietary information was obtained using a validated web-based 24-hour dietary recall questionnaire. A MIND diet score was evaluated based on the intake of ten beneficial and five unhealthy food groups and the scores were further grouped into tertiles. The outcome of interest was incident IBD, Crohn's disease (CD), and ulcerative colitis (UC). Multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard models adjusted for demographic characteristics, lifestyle factors, cancer history, and other dietary factors. Mediation analyses were performed to evaluate the role of systemic inflammation and metabolic disorders represented by the integrated biomarkers in the MIND diet-IBD association. Results: After a mean follow-up of 10.7 years, we documented 825 incident IBD cases (250 CD and 575 UC). The average age of the participants was 56.2 years, of which 55.0% were females. We found that greater adherence to the MIND diet, represented by a higher diet score, was associated with a lower risk of IBD (HRcomparing extreme tertiles 0.74, 95% CI 0.62-0.90, p = 0.002; p for trend = 0.005), CD (HR 0.66, 95% CI 0.47-0.94, p = 0.022; p for trend = 0.023), and UC (HR 0.78, 95% CI 0.62-0.98, p = 0.031; p for trend = 0.022). The associations were partially mediated by metabolic and inflammation status (mediation proportion: 5.5-15.9%). Conclusion: We found higher adherence to the MIND diet was associated with a lower risk of IBD, and that inflammatory and metabolic conditions may play an important role in the underlying mechanistic pathways.

Predicting psychological distress in advanced ovarian cancer patients during the COVID-19 pandemic.

PURPOSE: This longitudinal study investigated distress rates in patients with advanced ovarian cancer during the COVID-19 pandemic and examined whether time, illness representations, and coping strategies predicted distress levels. METHODS: UK patients with stage 3 or 4 ovarian cancer were recruited between September 2020 and March 2021. Data were collected at baseline (T0), 2 months (T1), and 4 months (T2) post-enrolment. Validated questionnaires assessed distress (anxiety, depression, PTSD, fear of progression) and predictors (coping strategies and illness perceptions), analysed via multilevel modelling. RESULTS: Seventy-two participants returned a questionnaire at T0, decreasing to 49 by T2. High distress was observed, with over 50% of participants experiencing anxiety and depression consistently. Nearly 60% reported clinical levels of fear of progression at some point. PTSD rates resembled the general population. Although distress levels remained stable over time, some individual variability was observed. Time had minimal effect on distress. Coping strategies and illness perceptions remained stable. Threatening illness perceptions consistently predicted distress, while specific coping strategies such as active coping, acceptance, self-blame, and humour predicted various aspects of distress. Together, these factors explained up to half of the distress variance. CONCLUSION: The findings have implications for routine screening for distress and the inclusion of psychological treatment pathways in advanced ovarian cancer care. Addressing illness representations is crucial, with attention to informational support. Future research should explore the long-term effects of heightened distress and the effectiveness of interventions targeting illness perceptions. This study informs current clinical practice and future pandemic preparedness in cancer care.