Associations between Recreational Screen Time and Brain Health in Middle-Aged and Older Adults: A Large Prospective Cohort Study.

OBJECTIVES: To investigate the associations of recreational screen time with risks of brain-related disorders (dementia, stroke, and Parkinson's disease) and neuroimaging features. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: A total of 407,792 participants from the UK Biobank who were free of dementia, stroke, or Parkinson's disease at enrollment (2006-2010). METHODS: TV viewing and time spent using the computer were self-reported at baseline. Among a subsample of 40,692 participants, neuroimaging features were measured by magnetic resonance imaging in 2014. Data were analyzed using Cox proportional hazard models, restricted cubic spline models, and general linear regression models. RESULTS: During a median follow-up of 12.6 years, 5227 incident dementia, 6822 stroke, and 2308 Parkinson's disease cases were identified. Compared with TV viewing >0-1 h/day, watching TV ≥5 h/day was associated with higher risks of dementia [hazard ratio (HR), 1.44; 95% confidence interval (CI), 1.28-1.62], stroke (HR, 1.12; 95% CI, 1.01-1.25), and Parkinson's disease (HR, 1.28; 95% CI, 1.06-1.54). Moreover, we observed inverse associations between TV viewing time and both gray matter volume and hippocampus volume (Ptrend <.001). However, we did not observe the significant associations between discretional computer use and brain-related disorders or neuroimaging features. CONCLUSIONS AND IMPLICATIONS: Our findings suggest that high TV viewing time is associated with increased risk of various brain-related disorders, highlighting recreational TV viewing could have an important impact on brain-related health.

Night shift work, genetic risk, and the risk of depression: A prospective cohort study.

BACKGROUND: Genetic factors and night shift work both contribute to the risk of depression, but whether the association of night shift work with depression varies by genetic predisposition remains unclear. OBJECTIVES: To assess whether night shift work is associated with a higher risk of depression regardless of genetic predisposition. METHODS: We used data from the UK biobank of 247,828 adults aged 38-71 free of depression at baseline from March 13, 2006, to October 1, 2010. Genetic predisposition to depression was assessed using polygenic risk scores (PRS) weighted sums of genetic variant indicator variables and classified as low (lowest tertile), intermediate (tertile 2), and high (highest tertile). Night shift work exposures were collected using a touchscreen questionnaire and were divided into four categories. RESULTS: After a median follow-up of 12.7 years, 7315 participants developed depression. Compared with day workers, HRs (95 % CIs) of depression were 1.28 (1.19-1.38) for shift work, but never or rarely night shifts, 1.32 (1.20-1.45) for irregular night shifts, and 1.20 (1.07-1.34) for permanent night shifts. Considering lifetime employment and compared with never shift workers, >8 nights/month (HR: 1.40; 95 % CI: 1.19-1.66) and <10 years (HR: 1.30; 95 % CI: 1.09-1.54) of night shift work were associated with a higher risk of depression. In joint effect analyses, compared to participants with low genetic predisposition and day workers, the HRs (95 % CIs) of depression were 1.49 (1.32-1.69) in those with high genetic predisposition and shift work, but never or rarely night shifts, and 1.36 (1.20-1.55) for those with high genetic predisposition and irregular/permanent night shifts. In addition, there was neither multiplicative nor additive interaction between genetic predisposition and night shift work on the risk of depression. CONCLUSIONS: Night shift work was associated with an increased risk of depression regardless of genetic risk.

Associations of environmental factors with neurodegeneration: An exposome-wide Mendelian randomization investigation.

Neurodegenerative diseases (NDDs) remain a global health challenge. Previous studies have reported potential links between environmental factors and NDDs, however, findings remain controversial across studies and elusive to be interpreted as evidence of robust causal associations. In this study, we comprehensively explored the causal associations of the common environmental factors with major NDDs including Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and multiple sclerosis (MS), based on updated large-scale genome-wide association study data through two-sample Mendelian randomization (MR) approach. Our results indicated that, overall, 28 significant sets of exposure-outcome causal association evidence were detected, 12 of which were previously underestimated and newly identified, including average weekly beer plus cider intake, strenuous sports or other exercises, diastolic blood pressure, and body fat percentage with AD, alcohol intake frequency with PD, apolipoprotein B, systolic blood pressure, and forced expiratory volume in 1 s (FEV1) with ALS, and alcohol intake frequency, hip circumference, forced vital capacity, and FEV1 with MS. Moreover, the causal effects of several environmental factors on NDDs were found to overlap. From a triangulation perspective, our investigation provided insights into understanding the associations of environmental factors with NDDs, providing causality-oriented evidence to establish the risk profile of NDDs.

Impact of COVID-19 on risks and deaths of non-communicable diseases in the Western Pacific region.

Countries and areas in the Western Pacific region (WPR) experienced the COVID-19 pandemic and took various preventive measures, which affected non-communicable diseases (NCDs) risks and mortality. Due to differences in COVID-19 prevention measures and other characteristics such as culture, religions, political systems, socioeconomic development, lifestyles, and health care systems, the effects of COVID-19 on NCDs varied greatly among WPR countries. Most countries had an increased all-cause and NCDs mortality during the pandemic, but some developed countries, including New Zealand, Singapore and Australia reported decreased mortality. The pandemic and the preventive measures increased NCD risk factors including unhealthy diet, lack of physical activity and sleep disorders. The effects varied by socioeconomic status and health conditions. COVID-19 related stress, food shortages, and confined lifestyle had immediate detrimental effects on NCDs, and also affected pregnancy outcomes with long-term effects on NCDs risks in coming years.

Trends in major non-communicable diseases and related risk factors in China 2002-2019: an analysis of nationally representative survey data.

Background: Prevention and control of non-communicable diseases (NCDs) are prioritized in both the Sustainable Development Goal and the Healthy China 2030 Initiatives. Efforts have been devoted to combating NCDs in China. This study examined changes in NCD trajectory. Methods: We described and analyzed the trends in prevalence and control of major NCDs including obesity, hypertension, diabetes, and dyslipidemia and examined selected main behavioral risk factors in China by sex, age group, and residence using nationally representative CDC survey data. Data included were from the China Chronic Disease Risk Factor Surveillance (CCDRFS, 2013 and 2018) and China National Nutrition Survey (CNNS, 2002, 2010-2013, 2015, and 2020). Annual and relative changes in rates were used. Rural-urban ratio of related indicators was assessed. Findings: NCD-attributed deaths increased from 80.0% in 2002 to 86.6% in 2012, and 88.5% in 2019, with cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes accounted for 47.1%, 24.1%, 8.8%, and 2.5% of deaths in 2019, respectively. Prevalence of obesity (7.1%-16.4%), overweight/obesity (29.9%-50.7%), hypertension (18.8%-27.5%), diabetes (2.6%-11.9%), and dyslipidemia (18.6%-35.6%) all increased from 2002 to 2018. These rates increased faster in rural areas than in urban areas. Rates of awareness, treatment and control of hypertension and diabetes increased very slowly from 2012 to 2018. Most rates were between 30 and 40% with the lowest rate of 11% for hypertension control even in 2018. The rates were worse for rural residents compared to urban residents. Furthermore, many modifiable behavioral risk factors showed little improvement and some became worse over time, including smoking, excessive alcohol use, inadequate vegetable/fruit intake, excessive red meat intake, and physical inactivity. Interpretation: NCD burden in China increased during 2002-2019 despite of the intervention efforts. To reach the global and national targets, China must strengthen its actions, especially in rural areas, including improvement of NCD screening and management and reduction of behavioral risk factors. Funding: The study was supported in part by research grants of National Key R&D Program of China (2017YFC0907200, 2017YFC0907201), International Collaboration Project from the Chinese Ministry of Science and Technology-Prevention and control of chronic diseases and health promotion (G2021170007L), Natural Scientific Foundation of China (82103846), Key R&D and Transformation Program of Qinghai (2023-QY-204).

Understanding community-dwelling older adults' preferences for home- and community-based services: A conjoint analysis.

BACKGROUND: Older adults' preference for home- and community-based service programs has been highlighted as an essential but usually ignored ingredient in current care models. Disentangling how preferences contribute to older adults' decision-making could facilitate finding optimal ways to deliver home- and community-based services in times of increasing scarcity. OBJECTIVE: To identify Chinese community-dwelling older adults' preference structure for home- and community-based services and thus to optimize service provision. METHODS: Conjoint analysis, a preference-based technique, was employed to study older adults' preferences. A stepwise qualitative approach was first adopted to identify the attributes and attribute levels of home- and community-based services. Scenarios were defined through an orthogonal fractional factorial design, and a cross-sectional survey was conducted through a face-to-face, anonymous questionnaire. Conjoint analysis was performed to determine preference weights representing the relative importance of the identified attributes, and cluster analysis was performed to identify clusters of participants with similar preference structures. All data analyses were performed using SAS v9.4 and SPSS 22.0. RESULTS: A total of 321 of 350 invited participants completed the questionnaire. Four attributes were identified and used to create the conjoint scenarios: care-giving attitude, price, technical care-giving skills, and the type of service provider. Care-giving attitude was the most valued attribute for older adults when making decisions (relative importance score = 48.28), followed by price (relative importance score = 21.618), technical care-giving skills (relative importance score = 19.518), and finally, the type of service provider (relative importance score = 10.585). Three preference phenotypes were identified by applying cluster analysis: "price-oriented", "comprehensively balanced", and "attitude-oriented". CONCLUSION: The present study underscored the importance of considering attributes valued by Chinese older adults in the design and delivery of home- and community-based services. The preference structure, including the utility score of the attribute levels, differs among older adults. The findings could inform future research and practice and suggest incorporating flexibility during the service delivery stage.

Effects of the family customised online FOCUS programme on patients with heart failure and their informal caregivers: a multicentre, single-blind, randomised clinical trial.

Background: Living with heart failure can severely affect the physical and mental health of patients with heart failure and their caregivers. Available dyadic self-care interventions for heart failure are scarce, especially in China. We aimed to develop and test the family FOCUS programme. Methods: This single-blind, randomised, controlled study was conducted at four hospitals in Tianjin, China. Patients with heart failure (aged at least 18 years) and their caregiver (dyads) were randomly assigned to either the intervention (n = 71) or control (n = 71) group in a 1:1 ratio. The primary outcomes of this study were patient self-care, with three specific dimensions (self-care maintenance, symptom perception, and self-care management), and caregiver contribution to self-care, mirroring these three dimensions. The outcomes were assessed at baseline (T0) and 4 (T1), 12 (T2), and 24 (T3) weeks post-discharge, respectively. This work is registered on ChiCTR, ChiCTR2100053168. Findings: Between May 20, 2022, and September 30, 2022, 142 dyads with heart failure were enrolled. The intervention group exhibited dropout rates of 6%, 8.5%, and 18.3% at 4, 12, and 24 weeks after discharge, while the control group showed 9.9%, 12.3%, and 25.4%. Compared with the control group, patients in the intervention group reported improved self-care maintenance (ß: 8.5, 95% CI: 0.7, 16.4) and management (ß: 7.2, 95% CI: 0.1, 14.3) at T1, as well as improved symptom perception at both T1 (ß: 9.7, 95% CI: 1.5, 17.9) and T2 (ß: 9.6, 95% CI: 0.6, 18.6). Furthermore, caregiver contributions to self-care maintenance, self-care management, and symptom perception (excluding T3) exhibited significant improvements at all timepoints. Interpretation: Although the significant improvements in patients' self-care were not long-lasting, this study suggested that the family FOCUS programme consistently enhanced caregivers' contributions to self-care. Future work could explore the effect of the family FOCUS programme on families with multiple chronic conditions. Funding: The National Natural Science Foundation of China.

Association of plant-based diets with total and cause-specific mortality across socioeconomic deprivation level: a large prospective cohort.

PURPOSE: Current evidence on the association between plant-based diet indices (PDIs) and mortality is inconsistent. We aimed to investigate the association of PDIs with all-cause and cause-specific mortality and to examine whether such associations were modified by socioeconomic deprivation level. METHODS: A total of 189,003 UK Biobank participants with at least one 24-h dietary assessment were included. All food items were categorised into three groups, including healthy plant foods, less healthy plant foods, and animal foods. Three PDIs, including the overall PDI (positive scores for all plant-based food intake and inverse scores for animal-based foods), the healthful PDI (hPDI) (positive scores only for healthy plant food intake and inverse scores for others), and the unhealthful PDI (uPDI) (positive scores only for less healthy plant food intake and inverse scores for others), were calculated according to the quantities of each food subgroup in three categories. The Townsend deprivation index was used as the indicator of socioeconomic deprivation level. Cox proportional hazard models were used to estimate the hazard ratios (HRs) of PDIs for all-cause and cause-specific mortality. The modification effects of socioeconomic deprivation levels on these associations were evaluated. RESULTS: During a median follow-up of 9.6 years, 9335 deaths were documented. Compared with the lowest quintile, the highest quintile of overall PDI was associated with adjusted HRs of 0.87 (95% CI 0.81-0.93) for all-cause mortality and 0.77 (0.66-0.91) for cardiovascular mortality. Compared with the lowest quintile, the highest quintile of hPDI was associated with lower risks of all-cause mortality (0.92, 0.86-0.98), and death caused by respiratory disease (0.63, 0.47-0.86), neurological disease (0.65, 0.48-0.88), and cancer (0.90, 0.82-0.99). Compared with the lowest quintile, the highest quintile of uPDI was associated with an HR of 1.29 (1.20-1.38) for all-cause mortality, 1.95 (1.40-2.73) for neurological mortality, 1.54 (1.13-2.09) for respiratory mortality, and 1.16 (1.06-1.27) for cancer mortality. The magnitudes of associations of hPDI and uPDI with mortality were larger in the most socioeconomically deprived participants (the highest tertile) than in the less deprived ones (p-values for interaction were 0.039 and 0.001, respectively). CONCLUSIONS: This study showed that having a high overall PDI and hPDI were related to a reduced risk of death, while the uPDI was linked to a higher risk of death. Sticking to a healthy plant-based diet may help decrease mortality risks across socioeconomic deprivation levels, especially for those who are the most socioeconomically deprived.

Associations of sugar-sweetened, artificially sweetened, and naturally sweet juices with Alzheimer's disease: a prospective cohort study.

Epidemiological studies of sugar-sweetened beverages (SSBs) and artificially sweetened beverages (ASBs) with Alzheimer's disease (AD) have provided controversial findings. Furthermore, little is known about the association between pure fruit/vegetable juices and AD. The present study aims to estimate the associations of SSBs, ASBs, and pure fruit/vegetable juices with AD, and to evaluate the theoretical effects of replacing SSBs and ASBs with the different consumption of pure fruit/vegetable juices on the risk of AD. This prospective cohort study of the UK Biobank included 206,606 participants aged 39-72 years free of dementia at baseline between 2006 and 2010. Dietary intake of SSBs, ASBs, and pure fruit/vegetable juices (naturally sweet juices) were collected using a 24-h dietary recall questionnaire completed between 2009 and 2012. Incident AD was identified by medical and mortality records. Cox proportional hazard models and substitution models were conducted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 699 cases of AD were identified over a median follow-up of 9.5 years. The consumption of SSBs and ASBs (> 2 units/d) were associated with a higher risk of AD. However, participants who drank > 1-2 units/d of pure fruit/vegetable juices were associated with a lower risk of AD. In substitution models, replacing SSBs with an equivalent consumption of pure fruit/vegetable juices could be associated with a risk reduction of AD.

Predictive value of lung function measures for cardiovascular risk: a large prospective cohort study.

INTRODUCTION: Although lung function measures are associated with cardiovascular disease (CVD), the added predictive values of these measures remain unclear. METHODS: From the UK Biobank, 308 415 participants free of CVD with spirometry parameters were included. The CVD outcomes included were defined by QRISK3, the American College of Cardiology/American Heart Association (ACC/AHA) and the European Systematic Coronary Risk Evaluation (SCORE) prediction models, respectively. Cox proportional hazard models were used to estimate the associations of lung function measures with CVD outcomes. The predictive capability was determined by the decision curve analyses. RESULTS: Over a median follow-up of 12.5 years, 21 885 QRISK3 events, 12 843 ACC/AHA events and 2987 SCORE events were recorded. The associations of spirometry parameters with CVD outcomes were L-shaped. Restrictive and obstructive impairments were associated with adjusted HRs of 1.84 (95% CI: 1.65 to 2.06) and 1.72 (95% CI: 1.55 to 1.90) for SCORE CVD, respectively, compared with normal spirometry. Similar associations were seen for QRISK3 CVD (restrictive vs normal, adjusted HR: 1.30, 95% CI: 1.25 to 1.36; obstructive vs normal, adjusted HR: 1.20, 95% CI: 1.15 to 1.25) and ACC/AHA CVD (restrictive vs normal, adjusted HR: 1.39, 95% CI: 1.31 to 1.47; obstructive vs normal, adjusted HR: 1.26, 95% CI: 1.19 to 1.33). Using models that integrated non-linear forced expiratory volume in 1 s led to additional 10-year net benefits per 100 000 persons of 25, 43 and 5 for QRISK3 CVD at the threshold of 10%, ACC/AHA CVD at 7.5% and SCORE CVD at 5.0%, respectively. CONCLUSION: Clinicians could consider spirometry indicators in CVD risk assessment. Cost-effectiveness studies and clinical trials are needed to put new CVD risk assessment into practice.

A low-inflammatory diet is associated with a lower incidence of diabetes: role of diabetes-related genetic risk.

BACKGROUND: Whether a low-inflammatory diet relates to type 2 diabetes risk remains unclear. We examined the association between a low-inflammatory diet and risk of type 2 diabetes among normoglycemic and prediabetic participants. We also explored whether a low-inflammatory diet modifies genetic risk for type 2 diabetes. METHODS: Among 142,271 diabetes-free UK Biobank participants (aged 39-72 years), 126,203 were normoglycemic and 16,068 were prediabetic at baseline. Participants were followed for up to 15 years to detect incident type 2 diabetes. At baseline, dietary intake was assessed with a 24-h dietary record. An inflammatory diet index (IDI) was generated based on high-sensitivity C-reactive protein levels and was a weighted sum of 34 food groups (16 anti-inflammatory and 18 pro-inflammatory). Participants were grouped into tertiles corresponding to inflammatory level (low, moderate, and high) based on IDI scores. Prediabetes at baseline was defined as HbA1c 5.7-6.4% in diabetes-free participants. Incident type 2 diabetes and age of onset were ascertained according to the earliest recorded date of type 2 diabetes in the Primary Care and Hospital inpatient data. A diabetes-related genetic risk score (GRS) was calculated using 424 single-nucleotide polymorphisms. Data were analyzed using Cox regression and Laplace regression. RESULTS: During follow-up (median 8.40 years, interquartile range 6.89 to 11.02 years), 3348 (2.4%) participants in the normoglycemia group and 2496 (15.5%) in the prediabetes group developed type 2 diabetes. Type 2 diabetes risk was lower in normoglycemic (hazard ratio [HR] = 0.71, 95% confidence interval [CI] 0.65, 0.78) and prediabetic (HR = 0.81, 95% CI 0.73, 0.89) participants with low IDI scores compared to those with high IDI scores. A low-inflammatory diet may prolong type 2 diabetes onset by 2.20 (95% CI 1.67, 2.72) years among participants with normoglycemia and 1.11 (95% CI 0.59, 1.63) years among participants with prediabetes. In joint effect analyses, normoglycemic or prediabetes participants with low genetic predisposition to type 2 diabetes and low IDI scores had a significant 74% (HR = 0.26, 95% CI 0.21, 0.32) or 51% (HR = 0.49, 95% CI 0.40, 0.59) reduction in type 2 diabetes risk compared to those with high genetic risk plus high IDI scores. There were significant additive and multiplicative interactions between IDI and GRS in relation to type 2 diabetes risk in the normoglycemia group. CONCLUSIONS: A low-inflammatory diet is associated with a decreased risk of type 2 diabetes and may delay type 2 diabetes onset among participants with normal blood glucose or prediabetes. A low-inflammatory diet might significantly mitigate the risk of genetic factors on type 2 diabetes development.

Different types of screen time, physical activity, and incident dementia, Parkinson's disease, depression and multimorbidity status.

BACKGROUND: Several previous studies have shown that excessive screen time is associated with an increased prevalence of dementia, Parkinson's disease (PD), and depression. However, the results have been inconsistent. This study aimed to prospectively investigate the association between different types of screen time and brain structure, as well as the incidence of dementia, Parkinson's disease, depression, and their multimorbidity status. METHODS: We included 473,184 participants initially free of dementia, PD, and depression from UK Biobank, as well as 39,652 participants who had magnetic resonance imaging (MRI) data. Screen time exposure variables including TV viewing and computer using were self-reported by participants. Cox proportional hazards regression models were used to estimate the association between different types of screen time and the incidence of dementia, Parkinson's disease, depression, and their multimorbidity status. Multiple linear regression models were used to assess the linear relationship between different types of screen time and MRI biomarkers in a subgroup of participants. RESULTS: During the follow up, 6,096, 3,061, and 23,700 participants first incident cases of dementia, PD, and depression respectively. For moderate versus the lowest computer uses, the adjusted HRs (95% CIs) were 0.68 (0.64, 0.72) for dementia, 0.86 (0.79, 0.93) for PD, 0.85 (0.83, 0.88) for depression, 0.64 (0.55, 0.74) for dementia and depression multimorbidity, and 0.59 (0.47, 0.74) for PD and depression multimorbidity. The multivariable HRs (95% CIs) for the highest versus the lowest group of TV viewing time were 1.28 (1.17, 1.39) for dementia, 1.16 (1.03, 1.29) for PD, 1.35 (1.29, 1.40) for depression, 1.49 (1.21, 1.84) for dementia and depression multimorbidity, and 1.44 (1.05, 1.97) for PD and depression multimorbidity. Moderate computer using time was negatively associated with white matter hyperintensity volume (ß = -0.042; 95% CI -0.067, -0.017), and positively associated with hippocampal volume (ß = 0.059; 95% CI 0.034, 0.084). Participants with the highest TV viewing time were negatively associated with hippocampal volume (ß = -0.067; 95% CI -0.094, -0.041). In isotemporal substitution analyses, substitution of TV viewing or computer using by equal time of different types of PA was associated with a lower risk of all three diseases, with strenuous sports showing the strongest benefit. CONCLUSION: We found that moderate computer use was associated with a reduced risk of dementia, PD, depression and their multimorbidity status, while increased TV watching was associated with a higher risk of these disease. Notably, different screen time may affect the risk of developing diseases by influencing brain structures. Replacing different types of screen time with daily-life PA or structured exercise is associated with lower dementia, PD, and depression risk.

Associations of ultra-processed food consumption, circulating protein biomarkers, and risk of cardiovascular disease.

BACKGROUND: We aim to examine the association between ultra-processed foods (UPF) consumption and cardiovascular disease (CVD) risk and to identify plasma proteins associated with UPF. METHODS: This prospective cohort study included 26,369 participants from the Swedish Malmö Diet and Cancer Study, established in 1991-1996. Dietary intake was assessed using a modified diet history method, and UPF consumption was estimated using the NOVA classification system. A total of 88 selected CVD-related proteins were measured among 4475 subjects. Incident CVD (coronary heart disease and ischemic stroke) was defined as a hospital admission or death through registers. Cox proportional hazards regression models were performed to analyze the associations of UPF intake with risks of CVD. Linear regression models were used to identify the plasma proteins associated with UPF intake. RESULTS: During 24.6 years of median follow-up, 6236 participants developed CVD, of whom 3566 developed coronary heart disease and 3272 developed ischemic stroke. The adjusted hazard ratio (95% confidence interval) in the 4th versus 1st quartile of UPF was 1.18 (1.08, 1.29) for CVD, 1.20 (1.07, 1.35) for coronary heart disease, and 1.17 (1.03, 1.32) for ischemic stroke. Plasma proteins interleukin 18, tumor necrosis factor receptor 2, macrophage colony-stimulating factor 1, thrombomodulin, tumor necrosis factor receptor 1, hepatocyte growth factor, stem cell factor, resistin, C-C motif chemokine 3, and endothelial cell-specific molecule 1 were positively associated with UPF after correcting for multiple testing. CONCLUSIONS: Our study showed that high UPF intake increased the risk of CVD and was associated with several protein biomarkers. Future studies are warranted to validate these findings and assess the potential pathways between UPF intake and CVD.

Associations between an obesity-related dietary pattern and incidence of overall and site-specific cancers: a prospective cohort study.

BACKGROUND: A dietary pattern (DP) may impact on cancer incidence more strongly than individual foods, but this association remains uncertain. Here, we aimed to broadly explore the associations of an obesity-related DP with overall and 19 site-specific cancers. METHODS: This study included 114,289 cancer-free participants with at least two dietary assessments. A total of 210 food items were classified into 47 food groups, and the mean amount of each food group was used in reduced-rank regression to derive the obesity-related DP. Cox regressions were conducted to explore the associations of the obesity-related DP with overall and 19 site-specific cancers. The parallel mediation model was constructed to quantify the mediating roles of potential mediators. RESULTS: During a median follow-up period of 9.4 years, 10,145 (8.9%) incident cancer cases were documented. The derived-DP was characterized by a higher intake of beer and cider, processed meat, high sugar beverages, red meat, and artificial sweetener, and a lower intake of fresh vegetables, olive oil, tea, and high fiber breakfast cereals. Observational analysis showed that a higher obesity-related DP Z-score was linearly associated with an increased risk of overall cancer (adjusted hazard ratio (HR) = 1.02, 95% CI: 1.01, 1.04 per 1-SD increase, corrected P < 0.001). For site-specific cancer, positive linear associations for six cancer sites (oral, colorectal, liver, lung, endometrium, and thyroid) and nonlinear associations for six cancer sites (esophagus, malignant melanoma, prostate, kidney, bladder, and multiple myeloma) were observed. The paralleled mediation analysis suggested that the association between the obesity-related DP and overall cancer is mediated by the body mass index (BMI), the waist-to-hip ratio (WHR), C-reactive protein, high-density lipoproteins (HDLs), and triglycerides. CONCLUSIONS: The developed obesity-related DP is strongly associated with overall and multiple cancer sites. Our findings highlight the complicated and diverse associations between an obesity-related DP and cancers and provide clues for future research directions.

Associations of the inflammatory diet index and smoking status with the risk of chronic obstructive pulmonary disease and lung cancer.

It remains unknown whether a low-inflammatory diet could modify the chronic obstructive pulmonary disease (COPD) and lung cancer risk related to smoking. To investigate the association between a low-inflammatory diet, smoking status, and the risk of COPD and lung cancer. A total of 171 050 COPD-free and lung cancer-free (mean age: 55.80) individuals were included in this study. COPD and lung cancer were defined as hospital admission. An inflammatory diet index (IDI) was developed based on C-reactive protein levels and was a weighted sum of 34 food groups. Participants were grouped into tertiles corresponding to IDI scores (lowest, middle, and highest). Over 2 091 071 person-years of follow-up, a total of 4007 individuals developed COPD (person-years: 2 075 579), and 1049 developed lung cancer. In comparison with the highest tertile of the IDI score, hazard ratios (HRs) and 95% confidence intervals (CIs) of COPD and lung cancer related to a low-inflammatory diet were 0.66 (0.61, 0.72) and 0.76 (0.65, 0.89), respectively. A low-inflammatory diet may prolong COPD onset by 1.88 (1.50, 2.27) years and lung cancer onset by 1.05 (0.45, 1.65) years. In joint effect analyses, participants with the lowest/middle IDI score and smoking had a significant 37% decrease in COPD risk and a 35% decrease in lung cancer risk compared to the participants with the highest IDI score and smoking. Replacing each standard deviation unit (≈1080.426 g day-1) of pro-inflammatory foods with anti-inflammatory foods was associated with a 30% lower COPD risk. Our findings suggest that a low-inflammatory diet may significantly mitigate the risk of smoking on COPD development, and delay the COPD onset by about 2 years. However, a low-inflammatory diet is associated with a reduced risk of lung cancer among only smokers. Substituting equal intake of pro-inflammatory foods with anti-inflammatory foods is related to a decreased risk of COPD, but not lung cancer.

Association between behavioural risks and Alzheimer's disease: Elucidated with an integrated analysis of gene expression patterns and molecular mechanisms.

Alzheimer's disease (AD) remains a global health challenge. Previous studies have reported linkages between AD and multiple behavioural risk exposures, however, the underlying biological mechanisms and crucial genes of gene expression patterns driven by behavioural risks on the onset or progression of AD remains ambiguous. In this study, we performed an integrated analysis on the influence of behavioural risks including smoking, excessive alcohol consumption, physical inactivity, and non-healthy dietary pattern on AD with a comprehensive strategy. Our results demonstrated that multiple behavioural risk exposures could independently or collectively influence diverse hierarchical levels of gene expression patterns through multiple biological mechanisms such as Wnt, mitogen-activated protein kinase (MAPK), AMP-activated protein kinase (AMPK), nuclear factor (NF)-κB, phosphatidylinositol 3-kinase (PI3K)-Akt, and insulin (INS) signalling pathways-mediated pathological processes, thereby prodromally or intermediately impacting AD. Our study provided insights into understanding the association of behavioural risk exposures with AD and informative support for further studies.

Association of time spent in outdoor light and genetic susceptibility with the risk of type 2 diabetes.

To explore the joint association of time spent in outdoor light and genetic susceptibility with the risk of type 2 diabetes (T2D). A total of 395,809 individuals of European ancestry with diabetes-free at baseline in the UK Biobank were included. Time spent in outdoor light on a typical day in summer or winter was obtained from the questionnaire. T2D genetic risk was quantified via the polygenic risk score (PRS) and divided into three levels based on tertiles (lower, intermediate, and higher). T2D cases were ascertained according to the hospital records of diagnoses. After the median follow-up of 12.55 years, the association of outdoor light time and T2D risk demonstrated a nonlinear (J-shaped) trend. Compared to individuals with an average of 1.5-2.5 h/day of outdoor light, individuals who spent <1.5 h/day or >2.5 h/day in outdoor light both had an elevated risk of T2D, and the risk of T2D related to <1.5 h/day outdoor light time was much higher (hazard ratio [HR] = 1.10, 95 % confidence interval [CI]: 1.06 to 1.15). After combining with PRS, in comparison with the lower PRS - average 1.5-2.5 h/day outdoor light group (reference), the higher PRS - <1.5 h/day outdoor light group had the highest T2D risk (HR = 2.74, 95 % CI: 2.55 to 2.94), the higher PRS - >2.5 h/day outdoor light group also had a higher risk of T2D (HR = 2.58, 95 % CI: 2.43 to 2.74). The interaction between average outdoor light time and genetic susceptibility for T2D was statistically significant (Paverage for interaction <0.001). We found that optimal outdoor light time may modify the genetic risk for T2D. This suggests the T2D risk related to genetic factors could be prevented by spending optimal outdoor light time.

The association of obesity-related dietary patterns and main food groups derived by reduced-rank regression with cardiovascular diseases incidence and all-cause mortality: findings from 116,711 adults.

PURPOSE: Research about using reduced-rank regression (RRR) to simultaneously study the effects of both individual and combined consumption of foods on cardiovascular diseases (CVD) is scarce. METHODS: This study included 116,711 CVD-free participants (a median of 11.8 year follow-up) with 2 or more 24-h online dietary assessments. A total of 210 food items were classified into 45 food groups, and the mean amount of each food group was used in RRR to derive dietary patterns (DPs) explaining the maximum shared variation in obesity-related indicators. The associations of DPs and its main food groups (|factor loading| [Formula: see text] 0.2) with the incident CVD and all-cause mortality were examined by Cox model. In cross-sectional analyses, the associations of DP scores with cardiometabolic risk factors (biomarkers) were examined by linear regression. RESULTS: The derived DP was characterized by higher intakes of beer and cider, high-sugar beverages, processed meat, red meat, artificial sweetener, and crisps, chips and savory snacks, and lower intakes of olive oil, high fiber breakfast cereals, tea, and vegetable. Compared to the lowest dietary score quintile, those in the highest were associated with higher risks of total CVD (adjusted-HR: 1.45, 95% CI 1.33-1.57) and all-cause mortality (adjusted-HR 1.31, 95% CI 1.18-1.45). We observed consumption alone of these food groups had a consistent but limited health effect on total CVD and all-cause death incidence. These associations were modified by age and sex. Higher DP scores were related to adverse biomarkers profiles. CONCLUSIONS: We developed obesity-related DPs prospectively associated with increased risks of CVD and all-cause mortality.

The mediation effects of metabolic and immune-inflammation factors on the depression-premature coronary heart disease association.

BACKGROUND: Accumulated evidence confirmed depression was positively associated with coronary heart disease (CHD). But evidence of the association between depression and premature CHD is still unknown. OBJECTIVES: To explore the association between depression and premature CHD, and to investigate whether and to what extent the association is mediated by metabolic factors and systemic immune-inflammation index (SII). METHODS: In this large population-based cohort study based on the UK Biobank, 176,428 CHD-free (mean age: 52.70) adults were followed up for 15 years to detect incident premature CHD. Depression and premature CHD (mean age: female, 54.53; male, 48.13) were ascertained from self-report data and linked hospital-based clinical diagnosis. Metabolic factors included central obesity, hypertension, dyslipidemia, hypertriglyceridemia, hyperglycemia, and hyperuricemia. Systemic inflammation was evaluated by calculating SII, which equals platelet count (/L) × neutrophil count (/L) / lymphocyte count (/L). Data were analyzed using Cox proportional hazards models and generalized structural equation model (GSEM). RESULTS: During follow-up (median: 8.0 years, interquartile range: 4.0 to 14.0 years), 2990 participants developed premature CHD (1.7 %). The adjusted hazard ratio (HR) and 95 % confidence interval (CI) of premature CHD related to depression were 1.72 (1.44-2.05). The association between depression and premature CHD was 32.9 % mediated by comprehensive metabolic factors (ß = 0.24, 95 % CI: 0.17-0.32) and 2.7 % by SII (ß = 0.02, 95 % CI = 0.01-0.04), respectively. Concerning metabolic factors, the strongest indirect association was for central obesity, accounting for 11.0 % of the association between depression and premature CHD (ß = 0.08, 95 % CI: 0.05-0.11). CONCLUSIONS: Depression was associated with an increased risk of premature CHD. Our study provided evidence that metabolic and inflammatory factors might play a mediating role in the association between depression and premature CHD, especially central obesity.

Association of Ultra-Processed Food Intake with Cardiovascular and Respiratory Disease Multimorbidity: A Prospective Cohort Study.

SCOPE: Evidence suggests a positive association between ultra-processed food (UPF) consumption and the incidence of cardiovascular disease (CVD). The study aims to investigate associations between UPF intake and respiratory disease, CVD, and their multimorbidity in a large prospective cohort. METHODS AND RESULTS: Within the UK Biobank, participants who are free from respiratory disease or CVD at baseline and completed at least two times 24-h dietary records are included in this study. After adjusting for socioeconomic status and lifestyle factors, the hazard ratios (95% confidence interval) for each 10% increase in UPF are 1.06 (1.04, 1.09) for CVD, 1.04 (1.02, 1.06) for respiratory disease, 1.15 (1.08, 1.22) for CVD mortality, and 1.06 (1.01, 1.12) for their multimorbidity, respectively. In addition, replacing 20% of UPF weight in diet with an equivalent proportion of unprocessed or minimally processed foods is estimated to be associated with 11% lower risk of CVD, 7% lower risk of respiratory disease, 25% lower risk of CVD mortality, and 11% lower risk of CVD and respiratory disease multimorbidity. CONCLUSION: In this prospective cohort study, higher consumption of UPF is associated with higher risks of CVD and respiratory disease multimorbidity. Further longitudinal studies are needed to confirm these findings.