The joint associations of physical activity and ultra-processed food consumption with depression: A cohort study in the UK Biobank.

BACKGROUND: Despite substantial evidence regarding independent associations between physical activity (PA) and ultra-processed foods (UPF) consumption with depression, the joint effects of these two factors remain unknown. METHODS: This study included 99,126 participants without depression in the UK Biobank at baseline. A 24-h recall method was used to assess UPF consumption, and self-reported total physical activity (TPA), moderate-to-vigorous physical activity (MVPA), and vigorous physical activity (VPA) were assessed by metabolic equivalent task (MET). A series of Cox proportional hazard regression models were used to explore the independent and joint effects of TPA, MVPA, VPA and UPF consumption on depression. RESULTS: The incidence rate of depression was 1.94 % [95 % confidence interval (CI): 1.80 %-2.10 %] per 1000 person-years after an average follow-up of 12.10 years. We found that MVPA and UPF consumption had additive interactions on depression risk (p < 0.05). Participants in Q1 of TPA and Q4 of UPF consumption (HR: 1.83, 95%CI: 1.45-2.31) showed a higher risk for depression than those in Q4 of TPA and Q1 of UPF consumption. Compared with the participants with WHO guideline-recommended MVPA and the lowest UPF consumption, those below recommended MVPA (HR: 1.51, 95%CI: 1.20-1.89) or above recommended MVPA (HR: 1.40, 95%CI: 1.10-1.78) and with the highest UPF consumption had a higher risk for depression. LIMITATIONS: Study limitations include use of self-reported data, observational study and concerns regarding generalizability. CONCLUSION: Higher UPF consumption, accompanied by lower PA levels regardless of TPA, MVPA, and VPA, is associated with a higher risk of depression. Our study offers insights on public health priorities to decrease the risk of depression in the population by addressing both PA and UPF consumption together.

Exploring the mechanisms and relationship between body mass index and asthma: findings from Mendelian randomization.

BACKGROUND: The mechanism linking BMI and asthma remains unclear. METHOD: Mendelian Randomization (MR) analysis was conducted using summary-level GWAS data from the FinnGen Biobank and the Open GWAS project. The analysis considering potential variables as mediators, including blood cell counts, blood pressure, and blood biomarkers. Three commonly used MR methods-the inverse-variance-weighted (IVW) method, weighted median (WM) method, and MR-Egger method-were employed to infer causal links. A two-step approach was used in mediation analysis to evaluate the causal links among BMI, candidate mediators, and asthma. RESULT: Elevated BMI demonstrated a substantial correlation with increased asthma risk. Thirteen biomarkers mediated the relationship between BMI and asthma, mainly including leukocyte count (5.070%), apolipoprotein A levels (7.395%), cystatin C levels (5.345%), urate levels (9.057%), diastolic blood pressure (7.365%), and albumin levels (10.888%). These factors collectively explained over 50% of the increased asthma risk associated with BMI elevation. Additionally, eosinophil count and C-reactive protein were also identified as important mediators using the WM method. CONCLUSION: This study highlights the complex relationship between obesity, blood biomarkers, and asthma risk. Additional studies are required to validate these results and investigate causal relationships in various populations.

The battle of the sexes in humans is highly polygenic.

Sex-differential selection (SDS), which occurs when the fitness effects of alleles differ between males and females, can have profound impacts on the maintenance of genetic variation, disease risk, and other key aspects of natural populations. Because the sexes mix their autosomal genomes each generation, quantifying SDS is not possible using conventional population genetic approaches. Here, we introduce a method that exploits subtle sex differences in haplotype frequencies resulting from SDS acting in the current generation. Using data from 300K individuals in the UK Biobank, we estimate the strength of SDS throughout the genome. While only a handful of loci under SDS are individually significant, we uncover highly polygenic signals of genome-wide SDS for both viability and fecundity. Selection coefficients of [Formula: see text] may be typical. Despite its ubiquity, SDS may impose a mortality load of less than 1%. An interesting life-history tradeoff emerges: Alleles that increase viability more strongly in females than males tend to increase fecundity more strongly in males than in females. Finally, we find marginal evidence of SDS on fecundity acting on alleles affecting arm fat-free mass. Taken together, our findings connect the long-standing evidence of SDS acting on human phenotypes with its impact on the genome.

Genetic Variance in Heparan Sulfation Is Associated With Salt Sensitivity.

BACKGROUND: High heritability of salt sensitivity suggests an essential role for genetics in the relationship between sodium intake and blood pressure (BP). The role of glycosaminoglycan genes, which are crucial for salinity tolerance, remains to be elucidated. METHODS: Interactions between 54 126 variants in 130 glycosaminoglycan genes and daily sodium excretion on BP were explored in 20 420 EPIC-Norfolk (European Prospective Investigation Into Cancer in Norfolk) subjects. The UK Biobank (n=414 132) and the multiethnic HELIUS study (Healthy Life in an Urban Setting; n=2239) were used for validation. Afterward, the urinary glycosaminoglycan composition was studied in HELIUS participants (n=57) stratified by genotype and upon dietary sodium loading in a time-controlled crossover intervention study (n=12). RESULTS: rs2892799 in NDST3 (heparan sulfate N-deacetylase/N-sulfotransferase 3) showed the strongest interaction with sodium on mean arterial pressure (false discovery rate 0.03), with higher mean arterial pressure for the C allele in high sodium conditions. Also, rs9654628 in HS3ST5 (heparan sulfate-glucosamine 3-sulfotransferase 5) showed an interaction with sodium on systolic BP (false discovery rate 0.03). These interactions were multiethnically validated. Stratifying for the rs2892799 genotype showed higher urinary expression of N-sulfated heparan sulfate epitope D0S0 for the T allele. Conversely, upon dietary sodium loading, urinary D0S0 expression was higher in participants with stable BP after sodium loading, and sodium-induced effects on this epitope were opposite in individuals with and without BP response to sodium. CONCLUSIONS: The C allele of rs2892799 in NDST3 exhibits higher BP in high sodium conditions when compared with low sodium conditions, whereas no differences were detected for the T allele. Concomitantly, both alleles demonstrate distinct expressions of D0S0, which, in turn, correlates with sodium-mediated BP elevation. These findings underscore the potential significance of genetic glycosaminoglycan variation in human BP regulation.

Replacement of sedentary behavior with various physical activities and the risk of all-cause and cause-specific mortality.

BACKGROUND: Sedentary behavior (SB) has emerged as a significant health concern that deserves attention. This study aimed to examine the associations between prolonged sedentary behavior and the risk of all-cause and cause-specific mortality as well as to explore desirable alternatives to sitting in terms of physical activity (PA). METHODS: Two prospective cohort investigations were conducted using the UK Biobank and NHANES datasets, with a total of 490,659 and 33,534 participants, respectively. Cox proportional hazards regression models were used to estimate the associations between SB and the risk of all-cause and cause-specific mortality due to cancer, cardiovascular disease (CVD), respiratory diseases, and digestive diseases. In addition, we employed isotemporal substitution models to examine the protective effect of replacing sitting with various forms of PA. RESULTS: During the average follow-up times of 13.5 and 6.7 years, 36,109 and 3057 deaths were documented in the UK Biobank and NHANES, respectively. Both cohorts demonstrated that, compared with individuals sitting less than 5 h per day, individuals with longer periods of sitting had higher risks of all-cause and cause-specific mortality due to cancer, CVD, and respiratory diseases but not digestive diseases. Moreover, replacing SB per day with PA, even substituting 30 min of walking for pleasure, reduced the risk of all-cause mortality by 3.5% (hazard ratio [HR] 0.965, 95% confidence interval [CI] 0.954-0.977), whereas cause-specific mortality from cancer, CVD, and respiratory diseases was reduced by 1.6% (HR 0.984, 95% CI 0.968-1.000), 4.4% (HR 0.956, 95% CI 0.930-0.982), and 15.5% (HR 0.845, 95% CI 0.795-0.899), respectively. Furthermore, the protective effects of substitution became more pronounced as the intensity of exercise increased or the alternative duration was extended to 1 h. CONCLUSIONS: SB was significantly correlated with substantially increased risks of all-cause mortality and cause-specific mortality from cancer, CVD, and respiratory diseases. However, substituting sitting with various forms of PA, even for short periods involving relatively light and relaxing physical activity, effectively reduced the risk of both overall and cause-specific mortality.

Association between psychiatric disorders and irritable bowel syndrome: A bidirectional Mendelian randomization study.

OBJECTIVE: Previous studies have suggested that irritable bowel syndrome (IBS) is strongly associated with psychiatric disorders. However, it is unclear whether this association is causal, concomitant, or accidental. Thus, we performed Mendelian randomization (MR) analysis to evaluate the causal effects of several psychiatric disorders on IBS. METHODS: Summary data of genome-wide association studies (GWASs) were obtained mainly from the Psychiatric Genomics Consortium (PGC) on individuals of European ancestry and from a recent GWAS on IBS. We used three MR methods, the inverse-variance weighting (IVW), weighted median (WM), and MR-Egger regression (MR-Egger). In addition, two other indicators, namely, the MR-IVW Cochran's Q statistic and MR-Egger intercept, were used to assess heterogeneity and detect directional horizontal pleiotropy, respectively. RESULTS: Heritability was high for bipolar disorder (81.18 %, 95 % CI = 73.18-148.18 %), schizophrenia (33.88 %, 95 % CI = 33.57-38.19 %), and panic disorder (30.66 %, 95 % CI = 20.74-40.58 %). For other disorders, there was a low liability-scale SNP heritability for major depressive disorder (MDD) (0.67 %, 95 % CI = 0.61-0.73 %), anxiety disorder (7.63 %, 95 % CI = 1.67-13.59 %), PTSD (0.96 %, 95 % CI = 0.12-1.8 %), and IBS (2.44 %, 95 % CI = 2.13-2.75 %). We also observed that schizophrenia had a significant causal effect on IBS according to MR-IVW. Notably, the individual causal estimates of genetic instruments for MDD and schizophrenia were heterogeneous, but no pleiotropic effects were observed. CONCLUSIONS: Our analyses revealed the causal effects of MDD and schizophrenia on IBS, a matter that has been subject to debate for decades, and also showed that IBS had causal effects on MDD.

Mitochondrial related variants associated with cardiovascular traits.

Introduction: Cardiovascular disease (CVD) is responsible for over 30% of mortality worldwide. CVD arises from the complex influence of molecular, clinical, social, and environmental factors. Despite the growing number of autosomal genetic variants contributing to CVD, the cause of most CVDs is still unclear. Mitochondria are crucial in the pathophysiology, development and progression of CVDs; the impact of mitochondrial DNA (mtDNA) variants and mitochondrial haplogroups in the context of CVD has recently been highlighted. Aims: We investigated the role of genetic variants in both mtDNA and nuclear-encoded mitochondrial genes (NEMG) in CVD, including coronary artery disease (CAD), hypertension, and serum lipids in the UK Biobank, with sub-group analysis for diabetes. Methods: We investigated 371,542 variants in 2,527 NEMG, along with 192 variants in 32 mitochondrial genes in 381,994 participants of the UK Biobank, stratifying by presence of diabetes. Results: Mitochondrial variants showed associations with CVD, hypertension, and serum lipids. Mitochondrial haplogroup J was associated with CAD and serum lipids, whereas mitochondrial haplogroups T and U were associated with CVD. Among NEMG, variants within Nitric Oxide Synthase 3 (NOS3) showed associations with CVD, CAD, hypertension, as well as diastolic and systolic blood pressure. We also identified Translocase Of Outer Mitochondrial Membrane 40 (TOMM40) variants associated with CAD; Solute carrier family 22 member 2 (SLC22A2) variants associated with CAD and CVD; and HLA-DQA1 variants associated with hypertension. Variants within these three genes were also associated with serum lipids. Conclusion: Our study demonstrates the relevance of mitochondrial related variants in the context of CVD. We have linked mitochondrial haplogroup U to CVD, confirmed association of mitochondrial haplogroups J and T with CVD and proposed new markers of hypertension and serum lipids in the context of diabetes. We have also evidenced connections between the etiological pathways underlying CVDs, blood pressure and serum lipids, placing NOS3, SLC22A2, TOMM40 and HLA-DQA1 genes as common nexuses.

Sleep pattern, genetic risk, and the risk of incident rheumatoid arthritis: A cohort study.

OBJECTIVE: To investigate the associations of sleep behaviors with the risk of rheumatoid arthritis, and whether the associations differ among individuals with low, intermediate, or high genetic risk. METHODS: We included participants who were free of rheumatoid arthritis at baseline based the UK Biobank. We evaluated the associations of five sleep behaviors with the risk of rheumatoid arthritis using Cox proportional hazard regression models. We then generated a sleep risk score which combined five sleep behaviors and assessed its association with the risk of rheumatoid arthritis. We finally generated a genetic risk score and examined the joint effects of sleep patterns and genetic susceptibility on the risk of rheumatoid arthritis. RESULTS: Of the 375,133 participants at baseline, 4913 incident rheumatoid arthritis cases were identified over a median follow-up of 11.73years. We found that insomnia and daytime sleepiness were associated with a 33% and a 38% increased risk of rheumatoid arthritis. A U-shaped association was observed between sleep duration and the risk of rheumatoid arthritis, with a 29% higher risk for those with short sleep and a 30% higher risk for those with long sleep. Participants with unfavorable sleep patterns had a 63% increased risk of rheumatoid arthritis compared with those with favorable sleep patterns. Participants with unfavorable sleep patterns and high genetic risk showed the highest risk of rheumatoid arthritis although no statistically significant multiplicative or additive interaction was found. CONCLUSIONS: Our study suggested that insomnia, daytime sleepiness, and short or long sleep duration, as well as sleep risk score were associated with an increased risk of rheumatoid arthritis.

Diurnal timing of physical activity and risk of colorectal cancer in the UK Biobank.

BACKGROUND: Physical activity reduces colorectal cancer risk, yet the diurnal timing of physical activity in colorectal cancer etiology remains unclear. METHODS: This study used 24-h accelerometry time series from UK Biobank participants aged 42 to 79 years to derive circadian physical activity patterns using functional principal component analysis. Multivariable Cox proportional hazard models were used to examine associations with colorectal cancer risk. RESULTS: Among 86,252 participants (56% women), 529 colorectal cancer cases occurred during a median 5.3-year follow-up. We identified four physical activity patterns that explained almost 100% of the data variability during the day. A pattern of continuous day-long activity was inversely associated with colorectal cancer risk (hazard ratio (HR) = 0.94, 95% confidence interval (CI) = 0.89-0.99). A second pattern of late-day activity was suggestively inversely related to risk (HR = 0.93, 95% CI = 0.85-1.02). A third pattern of early- plus late-day activity was associated with decreased risk (HR = 0.89, 95% CI = 0.80-0.99). A fourth pattern of mid-day plus night-time activity showed no relation (HR = 1.02, 95% CI = 0.88-1.19). Our results were consistent across various sensitivity analyses, including the restriction to never smokers, the exclusion of the first 2 years of follow-up, and the adjustment for shift work. CONCLUSIONS: A pattern of early- plus late-day activity is related to reduced colorectal cancer risk, beyond the benefits of overall activity. Further research is needed to confirm the role of activity timing in colorectal cancer prevention.

Flavonoid intakes, chronic obstructive pulmonary disease, adult asthma, and lung function: a cohort study in the UK Biobank.

BACKGROUND: Given their antioxidative stress, anti-allergic, anti-inflammatory, and immune-modulating effects, flavonoids are hypothesized to play a role in preventing chronic obstructive pulmonary disease (COPD) and asthma. OBJECTIVES: This cohort study aimed to examine associations between flavonoid intake and COPD, asthma, and lung function. METHODS: Among 119,466 participants of the UK Biobank, median [interquartile range] age of 60 [53, 65] y, we estimated intakes of flavonoids, flavonoid-rich foods, and a flavodiet score from 24-h diet assessments. Prospective associations with both incident COPD and asthma and cross-sectional associations with measures of lung function [%predicted forced expiratory volume in 1s (FEV1); and FEV1/forced vital capacity (FVC)] were examined using multivariable-adjusted Cox proportional hazards and linear regression models, respectively. We investigated mediation by inflammation--represented by the INFLA score--and stratified analyses by smoking status. RESULTS: Compared with low intakes, moderate intakes of total flavonoids, flavonols, theaflavins + thearubigins, and flavanones, and moderate-to-high intakes of flavanol monomers, proanthocyanidins, anthocyanins, flavones, and the flavodiet score were associated with up to an 18% lower risk of incident COPD {e.g., [hazard ratio (95% confidence interval) for total flavonoids: 0.83 (0.75, 0.92)]} but not incident asthma. Furthermore, compared with low intakes, higher intakes of all flavonoid subclasses (except theaflavins + thearubigins), and the flavodiet score were associated with better percent predicted FEV1 baseline. Associations were most apparent in ever (current or former) smokers. Flavonoid intakes were inversely associated with the INFLA score, which appeared to mediate 11%-14% of the association between intakes of proanthocyanidins and flavones and incident COPD. CONCLUSIONS: Moderate-to-high flavonoid intakes were associated with a lower risk of COPD and better lung function, particularly among ever smokers. Promoting intakes of healthy flavonoid-rich foods, namely, tea, apples, and berries, may improve respiratory health and lower COPD risk, particularly in individuals with a smoking history.

Depression, brain structure and socioeconomic status: A UK Biobank study.

BACKGROUND: Depression results from interactions between biological, social, and psychological factors. Literature shows that depression is associated with abnormal brain structure, and that socioeconomic status (SES) is associated with depression and brain structure. However, limited research considers the interaction between each of these factors. METHODS: Multivariate regression analysis was conducted using UK Biobank data on 39,995 participants to examine the relationship between depression and brain volume in 23 cortical regions for the whole sample and then separated by sex. It then examined whether SES affected this relationship. RESULTS: Eight out of 23 brain areas had significant negative associations with depression in the whole population. However, these relationships were abolished in seven areas when SES was included in the analysis. For females, three regions had significant negative associations with depression when SES was not included, but only one when it was. For males, lower volume in six regions was significantly associated with higher depression without SES, but this relationship was abolished in four regions when SES was included. The precentral gyrus was robustly associated with depression across all analyses. LIMITATIONS: Participants with conditions that could affect the brain were not excluded. UK Biobank is not representative of the general population which may limit generalisability. SES was made up of education and income which were not considered separately. CONCLUSIONS: SES affects the relationship between depression and cortical brain volume. Health practitioners and researchers should consider this when working with imaging data in these populations.

Smoking Cessation and Incident Atrial Fibrillation in a Longitudinal Cohort.

BACKGROUND: Although smoking heightens the risk of AF, it remains unknown if that risk is amenable to modification after smoking cessation. OBJECTIVES: This study sought to evaluate the association between smoking cessation and atrial fibrillation (AF) risk in a large longitudinal cohort. METHODS: After excluding those with prevalent AF and no history of smoking at baseline, we evaluated 146,772 UK Biobank participants with serial smoking assessments. We compared AF risk between former smokers at baseline and those who quit smoking during the study to current smokers. Incident AF was ascertained from outpatient and inpatient encounters and identified using International Classification of Diseases codes. Cox models were used to compare the risk of incident AF among current and former smokers as well as those who quit smoking during the study while controlling for age, sex, race, body mass index, education, cardiovascular comorbidities, alcohol use, and pack-years. RESULTS: Among the 146,772 participants (48.3% female; age: 57.3 ± 7.9 years), 37,377 (25.5%) currently smoked; 105,429 (72.0%) were former smokers; and 3,966 (2.7%) quit smoking during the study. Over a mean 12.7 ± 2.0 years of follow-up, 11,214 (7.6%) participants developed AF. Compared to current smokers, the adjusted risk of AF was 13% lower in former smokers (HR: 0.87; 95% CI: 0.83-0.91) and 18% lower in those who quit smoking during the study (HR: 0.82; 95% CI: 0.70-0.95). CONCLUSIONS: Compared to those who continue to smoke, smoking cessation was associated with a lower risk of AF.

The Relationship Between Physical Activity and Non-Modifiable Risk Factors on Alzheimer's Disease and Brain Health Markers: A UK Biobank Study.

Background: Modifiable (physical activity) and non-modifiable (sex and genotype) risk factors interact to affect Alzheimer's disease (AD) risk. Further investigation is necessary to understand if these factors influence brain volume and cognition. Objective: The study aimed to assess the effect of physical activity, APOE genotype, and sex on AD risk, brain volume, and cognition. Methods: UK Biobank data from 2006 to 2023 was accessed. Physical activity was measured by accelerometers, and International Physical Activity Questionnaire. Outcomes were AD incidence; brain volume (ventricular cerebrospinal fluid and total brain); and cognition (executive function, memory, visuospatial ability, processing speed, and reaction time). Logistic and linear regression models were conducted. Results: 69,060 participants met inclusion criteria (mean age: 62.28 years, SD: 7.84; 54.64% female). Higher self-reported (OR = 0.63, 95% CI [0.40, 1.00], p = 0.047) and accelerometer-assessed (OR = 0.96 [0.93, 0.98], p = 0.002) physical activity was associated with lower disease incidence. Smaller ventricular cerebrospinal fluid volume (ß= - 65.43 [- 109.68, - 17.40], p = 0.007), and larger total brain volume (ß= 4398.46 [165.11, 8631.82], p <  0.001) was associated with increased accelerometer-assessed and self-reported physical activity respectively. Both brain volume analyses were moderated by sex. Increased accelerometer-assessed physical activity levels were associated with faster reaction time (ß= - 0.43 [- 0.68, - 0.18], p = 0.001); though poorer visuospatial ability (ß= - 0.06 [- 0.09, - 0.03], p <  0.001), and executive function (ß= 0.49 [0.31, 0.66], p <  0.001; ß= 0.27 [0.10, 0.45], p = 0.002) was related to self-reported physical activity levels. Conclusions: Higher levels of physical activity reduce AD risk independently of non-modifiable risk factors. Moderation of sex on brain volume highlighted the importance of incorporating non-modifiable risk factors in analysis.

The impact of solid fuel use on major depression and the buffering effect of outdoor time in the UK adults: A 12-year cohort study.

BACKGROUND: This study aims to investigate age- and gender-specific effects of household solid fuels for heating on major depression and buffering effects of outdoor time in a high-income country. METHODS: Data were obtained from the UK Biobank. Participants with complete information on our studied variables and no prior diagnosis of major depression at baseline were included. Cox proportional hazards regression models were used to examine the effects of household solid fuels for heating on major depression. Subgroup analyses were conducted to investigate the buffering effects of outdoor time in summer and winter. Sensitivity analyses were performed to test the robustness of the main findings. RESULTS: Of 255,505 participants (50.2 % women), the 12-year cumulative incidence of major depression was 4.4 %. Household solid fuels for heating increased the risk of major depression only in women aged <45 years (HR (95%CI) = 1.30 (1.04, 1.63)). In this group, the solid fuel effect was moderated by outdoor time spending both in summer (HR (95%CI), ≤2 h/day: 1.61 (1.13, 2.28); >2 h/day: 1.13 (0.84, 1.52)) and winter (≤1 h/day: 1.35 (1.01, 1.08); >1 h/day: 1.24 (0.86, 1.77)). LIMITATIONS: Self-reported measures might lead to recall bias and some potential confounders, such as ventilation efficiency, were not measured and controlled in data analyses. CONCLUSIONS: Younger women are more vulnerable to the impact of domestic air pollution on major depression. Promoting outdoor activities is a cost-effective and efficient approach to mitigating the risk of major depression caused by household solid fuels.

Habitual Coffee, Tea, and Caffeine Consumption, Circulating Metabolites, and the Risk of Cardiometabolic Multimorbidity.

CONTEXT: Cardiometabolic multimorbidity (CM) is an increasing public health concern. Previous observational studies have suggested inverse associations between coffee, tea, and caffeine intake and risks of individual cardiometabolic diseases; however, their associations with CM and related biological markers are unknown. METHODS: This prospective study involved 172 315 (for caffeine analysis) and 188 091 (tea and coffee analysis) participants free of any cardiometabolic diseases at baseline from the UK Biobank; 168 metabolites were measured among 88 204 and 96 393 participants. CM was defined as the coexistence of at least 2 of the following conditions: type 2 diabetes, coronary heart disease, and stroke. RESULTS: Nonlinear inverse associations of coffee, tea, and caffeine intake with the risk of new-onset CM were observed. Compared with nonconsumers or consumers of less than 100 mg caffeine per day, consumers of moderate amount of coffee (3 drinks/d) or caffeine (200-300 mg/d) had the lowest risk for new-onset CM, with respective hazard ratios (95% CIs) of 0.519 (0.417-0.647) and 0.593 (0.499-0.704). Multistate models revealed that moderate coffee or caffeine intake was inversely associated with risks of almost all developmental stages of CM, including transitions from a disease-free state to single cardiometabolic diseases and subsequently to CM. A total of 80 to 97 metabolites, such as lipid components within very low-density lipoprotein, histidine, and glycoprotein acetyls, were identified to be associated with both coffee, tea, or caffeine intake and incident CM. CONCLUSION: Habitual coffee or caffeine intake, especially at a moderate level, was associated with a lower risk of new-onset CM and could play important roles in almost all transition phases of CM development. Future studies are warranted to validate the implicated metabolic biomarkers underlying the relation between coffee, tea, and caffeine intake and CM.

Quantifying Triglyceride-Rich Lipoprotein Atherogenicity, Associations With Inflammation, and Implications for Risk Assessment Using Non-HDL Cholesterol.

BACKGROUND: Triglyceride-rich lipoproteins and remnants (TRL/remnants) have a causal, but not yet quantified, relationship with coronary heart disease (CHD): myocardial infarction plus revascularization. OBJECTIVES: The authors sought to estimate TRL/remnant per-particle atherogenicity, investigate causal relationships with inflammation, and determine whether differences in the atherogenicity of TRL/remnants and low-density lipoprotein (LDL) impact the causal association of non-high-density lipoprotein cholesterol (non-HDL-C) with CHD. METHODS: Single nucleotide polymorphisms (SNPs) (N = 1,357) identified by genome-wide association in the UK Biobank were ranked into 10 clusters according to the effect on TRL/remnant-C vs LDL-C. Mendelian randomization analysis was used to estimate for each SNP cluster CHD ORs per 10 mg/dL apolipoprotein B (apoB) and per 0.33 mmol/L non-HDL-cholesterol, and to evaluate association of TRL/remnants with biomarkers of systemic inflammation. RESULTS: SNPs in cluster 1 predominantly affected LDL-C, whereas SNPs in cluster 10 predominantly affected TRL/remnant-C. CHD risk per genetically predicted increase in apoB and in non-HDL-C rose across clusters. ORs per 10 mg/dL higher apoB was 1.15 (95% CI: 1.11-1.19) in cluster 1 vs 1.70 (95% CI: 1.52-1.90) in cluster 10. Comparing ORs between these TRL/remnant-predominant and LDL-predominant clusters, we estimated that TRL/remnants were at least 3.9 (95% CI: 2.8-5.4) times more atherogenic than LDL on a per-particle basis. For non-HDL-C, CHD ORs per 0.33 mmol/L rose from 1.15 (95% CI: 1.11-1.19) for cluster 1 to 1.40 (95% CI: 1.30-1.50) for cluster 10. TRL/remnants exhibited causal relationships with inflammation, but this did not explain their greater atherogenicity. CONCLUSIONS: TRL/remnants are about 4 times more atherogenic than LDL. Variation in the causal association of non-HDL-C with CHD indicates that adjustment for percentage TRL/remnant-C may be needed for accurate risk prediction.

Relationship between weight-adjusted-waist index and all-cause and cardiovascular mortality in individuals with type 2 diabetes.

AIM: To investigate the relationship between the weight-adjusted-waist index (WWI) and all-cause mortality as well as cardiovascular mortality in individuals with type 2 diabetes. METHODS: We used data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 and the UK Biobank database. Restricted cubic spline curves and Cox proportional hazards models were employed to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality. RESULTS: In the UK Biobank database, compared with the lowest WWI quartile, the HR for all-cause and cardiovascular death in the highest quartile was 1.846 (95% CI 1.687-2.019) and 2.118 (95% CI 1.783-2.517), respectively, in the fully adjusted model. In the NHANES database, compared with the lowest WWI quartile, the highest quartile had an HR of 1.727 (95% CI 1.378-2.163) for all-cause death and 1.719 (95% CI 1.139-2.595) for cardiovascular death in the fully adjusted model. CONCLUSIONS: Our study indicates that WWI has a long-term synergistic negative impact on all-cause mortality and cardiovascular mortality in individuals with type 2 diabetes. The WWI is an independent predictor of mortality in individuals with type 2 diabetes.

How well can we measure chronic pain impact in existing longitudinal cohort studies? Lessons learned.

Multiple large longitudinal cohorts provide opportunities to address questions about predictors of pain and pain trajectories, even when not anticipated in design of the historical databases. This focus article uses two empirical examples to illustrate the processes of assessing the measurement properties of data from large cohort studies to answer questions about pain. In both examples, data were screened to select candidate variables that captured the impact of chronic pain on self-care activities, productivity and social activities. We describe a series of steps to select candidate items and evaluate their psychometric characteristics in relation to the measurement of pain impact proposed. In UK Biobank, a general lack of internal consistency of variables selected prevented the identification of a satisfactory measurement model, with lessons for the measurement of chronic pain impact. In the English Longitudinal Study of Ageing, a measurement model for chronic pain impact was identified, albeit limited to capturing the impact of pain on self-care and productivity but lacking coverage related to social participation. In conjunction with its supplementary material, this focus article aims to encourage exploration of these valuable prospectively collected data; to support researchers to make explicit the relationships between items in the databases and constructs of interest in pain research; and to use empirical methods to estimate the possible biases in these variables. PERSPECTIVE: This focus article outlines a theory-driven approach for fitting new measurement models to data from large cohort studies, and evaluating their psychometric properties. This aims to help researchers develop an empirical understanding of the gains and limitations connected with the process of re-purposing the data stored in these datasets.

Time from waking to the first cigarette and mortality and incident cardiovascular disease.

BACKGROUND: This study aimed to investigate the associations of time from waking to the first cigarette (TWFC) with all-cause mortality, cardiovascular disease (CVD) mortality and incident CVD among people smoking. METHODS: Data were from the UK Biobank, including 32 519 people smoking aged 40-70 years. TWFC was investigated using a touch-screen questionnaire. Outcomes included all-cause mortality and mortality from and incidence of CVD, ischemic heart disease (IHD) and stroke. RESULTS: Compared with participants reporting TWFC >120 min, those reporting TWFC between 61 and 120 min (HR, 1.30; 95% CI, 1.10-1.53), TWFC between 5 and 60 min (1.48, 1.30-1.70) and TWFC <5 min (1.65, 1.42-1.93) had a higher risk of all-cause mortality. Compared with participants reporting TWFC >120 min, those reporting TWFC between 5 and 60 min and TWFC <5 min had higher risks of CVD and IHD mortality and incident CVD and IHD, but those reporting TWFC between 61 and 120 min did not. The associations of TWFC with stroke mortality and incident stroke were not observed. CONCLUSION: In this cohort study, a shorter TWFC was associated with higher risks of all-cause mortality, mortality from CVD and IHD, as well as incident CVD and IHD.

Improving prediction models of amyotrophic lateral sclerosis (ALS) using polygenic, pre-existing conditions, and survey-based risk scores in the UK Biobank.

BACKGROUND AND OBJECTIVES: Amyotrophic lateral sclerosis (ALS) causes profound impairments in neurological function, and a cure for this devastating disease remains elusive. This study aimed to identify pre-disposing genetic, phenotypic, and exposure-related factors for amyotrophic lateral sclerosis using multi-modal data and assess their joint predictive potential. METHODS: Utilizing data from the UK (United Kingdom) Biobank, we analyzed an unrelated set of 292 ALS cases and 408,831 controls of European descent. Two polygenic risk scores (PRS) are constructed: "GWAS Hits PRS" and "PRS-CS," reflecting oligogenic and polygenic ALS risk profiles, respectively. Time-restricted phenome-wide association studies (PheWAS) were performed to identify pre-existing conditions increasing ALS risk, integrated into phenotypic risk scores (PheRS). A poly-exposure score ("PXS") captures the influence of environmental exposures measured through survey questionnaires. We evaluate the performance of these scores for predicting ALS incidence and stratifying risk, adjusting for baseline demographic covariates. RESULTS: Both PRSs modestly predicted ALS diagnosis but with increased predictive power when combined (covariate-adjusted receiver operating characteristic [AAUC] = 0.584 [0.525, 0.639]). PheRS incorporated diagnoses 1 year before ALS onset (PheRS1) modestly discriminated cases from controls (AAUC = 0.515 [0.472, 0.564]). The "PXS" did not significantly predict ALS. However, a model incorporating PRSs and PheRS1 improved the prediction of ALS (AAUC = 0.604 [0.547, 0.667]), outperforming a model combining all risk scores. This combined risk score identified the top 10% of risk score distribution with a fourfold higher ALS risk (95% CI [2.04, 7.73]) versus those in the 40%-60% range. DISCUSSION: By leveraging UK Biobank data, our study uncovers pre-disposing ALS factors, highlighting the improved effectiveness of multi-factorial prediction models to identify individuals at highest risk for ALS.