Physical Activity, Mental Activity, and Risk of Incident Stroke: A Prospective Cohort Study.

BACKGROUND: Cumulative evidence suggests a correlation between physical or mental activity and the risk of stroke. However, the combined impact of these activities on stroke onset remains unexplored. This study identified physical and mental activity patterns using principal component analysis and investigated their associations with risk of incident stroke in the general population. METHODS: Our study was sourced from the UK Biobank cohort between 2006 and 2010. Information on physical and mental-related activities were obtained through a touch-screen questionnaire. The incident stroke was diagnosed by physicians and subsequently verified through linkage to Hospital Episode Statistics. Principal component analysis was used to identify potential physical and mental activity patterns. Cox proportional hazard regression models were performed to calculate hazard ratios (HRs) and 95% CIs of incident stroke, adjusting for potential confounders. RESULTS: The initial UK Biobank cohort originally consisted of 502 411 individuals, of whom a total of 386 902 participants (aged 38-79 years) without any history of stroke at baseline were included in our study. During a median follow-up of 7.7 years, 6983 (1.8%) cases of stroke were documented. The mean age of the included participants was 55.9 years, and the proportion of women was 55.1%. We found that multiple individual items related to physical and mental activity showed significant associations with risk of stroke. We identified 4 patterns of physical activity and 3 patterns of mental activity using principal component analysis. The adherence to activity patterns of vigorous exercise, housework, and walking predominant patterns were associated with a lower risk of stroke by 17% (HR, 0.83 [95% CI, 0.78-0.89]; 20% (HR, 0.80 [95% CI, 0.75-0.85]; and 20% (HR, 0.80 [95% CI, 0.75-0.86), respectively. Additionally, the transportation predominant pattern (HR, 1.36 [95% CI, 1.28-1.45) and watching TV pattern (HR, 1.43 [95% CI, 1.33-1.53) were found to be significantly associated with a higher risk of stroke. These associations remained consistent across all subtypes of stroke. CONCLUSIONS: Activity patterns mainly related to frequent vigorous exercise, housework, and walking were associated with lower risks of stroke and all its subtypes. Our findings provide new insights for promoting suitable patterns of physical and mental activity for primary prevention of stroke.

The associations of dietary patterns with depressive and anxiety symptoms: a prospective study.

BACKGROUND: Diet is increasingly recognized as an important risk factor for mental health. However, evidence regarding the association between diet pattern and depressive and anxiety symptoms is limited. We aimed to investigate the associations of dietary patterns characterized by a set of nutrients of interest with depressive and anxiety symptoms. METHODS: The analyses included a total of 126,819 participants in the UK Biobank who had completed at least two dietary questionnaires. Dietary data were obtained through 24-h dietary assessment at baseline between 2006 and 2010 and four rounds of online follow-ups between 2011 and 2012. Reduced rank regression was applied to derive dietary patterns (DPs) explaining variability in energy density, free sugars, saturated fat, and fiber intakes. Depressive and anxiety symptoms were measured by the Patient Health Questionnaire-9 and General Anxiety Disorder-7 between 2016 and 2017, respectively. Logistic regression models were performed to investigate the associations between dietary patterns and depressive and anxiety symptoms. RESULTS: During a mean follow-up of 7.6 years, 2746 cases of depressive symptoms and 2202 cases of anxiety symptoms were recorded. Three major DPs were derived, explaining 74% of the variation in nutrients hypothesized to be related to depressive and anxiety symptoms. DP1 was characterized by high intakes of chocolate, confectionery, butter, and low vegetable/fruit intakes. Compared to the lowest quintile of DP1, the odds ratio (95% confidence interval) of depressive symptoms for Q2-Q5 was 0.82 (0.72-0.93), 0.86 (0.76-0.98), 1.02 (0.90-1.15), and 1.17 (1.03-1.32), respectively. Compared to the lowest quintile of DP1, the odds ratio (95% CI) of anxiety symptoms for Q2-Q5 was 0.84 (0.73-0.97), 0.91 (0.79-1.05), 1.01 (0.88-1.15), and 1.18 (1.03-1.35), respectively. DP2 featured high intakes of sugar-sweetened beverages, added sugars, and low intakes of butter/cheese but showed no significant links to depressive or anxiety symptoms. DP3 was characterized by high butter and milk desserts and low alcohol/bread intakes. Compared to the lowest quintile of DP3, the odds ratio (95% CI) of depressive symptoms for Q2-Q5 was 0.90 (0.79-1.01), 1.00 (0.88-1.13), 1.06 (0.94-1.20), and 1.17 (1.03-1.32), respectively. Compared to the lowest quintile of DP3, the odds ratio (95% CI) of anxiety symptoms for Q2-Q5 was 0.90 (0.78-1.04), 1.05 (0.91-1.20), 1.02 (0.89-1.17), and 1.21 (1.05-1.38), respectively. CONCLUSIONS: A DP characterized by high intakes of chocolate and confectionery, butter, high-fat cheese, added sugars, along with low intakes of fresh fruit and vegetables, is associated with a higher risk of depressive and anxiety symptoms.

Association of impaired lung function with dementia, and brain magnetic resonance imaging indices: a large population-based longitudinal study.

OBJECTIVE: to examine the association between different patterns of impaired lung function with the incident risk of dementia and magnetic resonance imaging (MRI)-based brain structural features. METHODS: in UK Biobank, a total of 308,534 dementia-free participants with valid lung function measures (forced expiratory volume in 1 s [FEV1] and forced vital capacity [FVC]) were included. Association was assessed using Cox proportional hazards regression model. Furthermore, the association between impaired lung function and brain MRI biomarkers related to cognitive function was analysed among 30,159 participants. RESULTS: during a median follow-up of 12.6 years, 3,607 incident all-cause dementia cases were recorded. Restrictive impairment (hazard ratio [HR], 1.42; 95% confidence interval [CI], 1.27-1.60) and obstructive impairment (HR, 1.28; 95% CI, 1.15-1.42) were associated with higher risk of all-cause dementia. The restricted cubic splines indicated FEV1% predicted and FVC % predicted had reversed J-shaped associations with dementia. Participants with impaired lung function have higher risks of all-cause dementia across all apolipoprotein E (APOE) risk categories, whereas associations were stronger among those of low APOE risk (P for interaction = 0.034). In addition, restrictive and obstructive impairment were linked to lower total (ß: -0.075, SE: 0.021, Pfdr = 0.002; ß: -0.033, SE: 0.017, Pfdr = 0.069) and frontoparietal grey matter volumes, higher white matter hyperintensity, poorer white matter integrity, lower hippocampus (ß: -0.066, SE: 0.024, Pfdr = 0.017; ß: -0.051, SE: 0.019, Pfdr = 0.019) and other subcortical volumes. CONCLUSIONS: participants with restrictive and obstructive impairments had a higher risk of dementia. Brain MRI indices further supported adverse effects and provided insight into potential pathophysiology biomarkers.

Risk of Accidents or Chronic Disorders From Improper Use of Mobile Phones: A Systematic Review and Meta-analysis.

BACKGROUND: Mobile phone use has brought convenience, but the long or improper use of mobile phones can cause harm to the human body. OBJECTIVE: We aimed to assess the impact of improper mobile phone use on the risks of accidents and chronic disorders. METHODS: We systematically searched in PubMed, EMBASE, Cochrane, and Web of Science databases for studies published prior to April 5, 2019; relevant reviews were also searched to identify additional studies. A random-effects model was used to calculate the overall pooled estimates. RESULTS: Mobile phone users had a higher risk of accidents (relative risk [RR] 1.37, 95% CI 1.22 to 1.55). Long-term use of mobile phones increased accident risk relative to nonuse or short-term use (RR 2.10, 95% CI 1.63 to 2.70). Compared with nonuse, mobile phone use resulted in a higher risk for neoplasms (RR 1.07, 95% CI 1.01 to 1.14), eye diseases (RR 2.03, 95% CI 1.27 to 3.23), mental health disorders (RR 1.16, 95% CI 1.02 to 1.32), and headaches (RR 1.25, 95% CI 1.18 to 1.32); the pooled risk of other chronic disorders was 1.20 (95% CI 0.90 to 1.59). Subgroup analyses also confirmed the increased risk of accidents and chronic disorders. CONCLUSIONS: Improper use of mobile phones can harm the human body. While enjoying the convenience brought by mobile phones, people have to use mobile phones properly and reasonably.

Detecting Lung Cancer Trends by Leveraging Real-World and Internet-Based Data: Infodemiology Study.

BACKGROUND: Internet search data on health-related terms can reflect people's concerns about their health status in near real time, and hence serve as a supplementary metric of disease characteristics. However, studies using internet search data to monitor and predict chronic diseases at a geographically finer state-level scale are sparse. OBJECTIVE: The aim of this study was to explore the associations of internet search volumes for lung cancer with published cancer incidence and mortality data in the United States. METHODS: We used Google relative search volumes, which represent the search frequency of specific search terms in Google. We performed cross-sectional analyses of the original and disease metrics at both national and state levels. A smoothed time series of relative search volumes was created to eliminate the effects of irregular changes on the search frequencies and obtain the long-term trends of search volumes for lung cancer at both the national and state levels. We also performed analyses of decomposed Google relative search volume data and disease metrics at the national and state levels. RESULTS: The monthly trends of lung cancer-related internet hits were consistent with the trends of reported lung cancer rates at the national level. Ohio had the highest frequency for lung cancer-related search terms. At the state level, the relative search volume was significantly correlated with lung cancer incidence rates in 42 states, with correlation coefficients ranging from 0.58 in Virginia to 0.94 in Oregon. Relative search volume was also significantly correlated with mortality in 47 states, with correlation coefficients ranging from 0.58 in Oklahoma to 0.94 in North Carolina. Both the incidence and mortality rates of lung cancer were correlated with decomposed relative search volumes in all states excluding Vermont. CONCLUSIONS: Internet search behaviors could reflect public awareness of lung cancer. Research on internet search behaviors could be a novel and timely approach to monitor and estimate the prevalence, incidence, and mortality rates of a broader range of cancers and even more health issues.

Leveraging Internet Search Data to Improve the Prediction and Prevention of Noncommunicable Diseases: Retrospective Observational Study.

BACKGROUND: As human society enters an era of vast and easily accessible social media, a growing number of people are exploiting the internet to search and exchange medical information. Because internet search data could reflect population interest in particular health topics, they provide a new way of understanding health concerns regarding noncommunicable diseases (NCDs) and the role they play in their prevention. OBJECTIVE: We aimed to explore the association of internet search data for NCDs with published disease incidence and mortality rates in the United States and to grasp the health concerns toward NCDs. METHODS: We tracked NCDs by examining the correlations among the incidence rates, mortality rates, and internet searches in the United States from 2004 to 2017, and we established forecast models based on the relationship between the disease rates and internet searches. RESULTS: Incidence and mortality rates of 29 diseases in the United States were statistically significantly correlated with the relative search volumes (RSVs) of their search terms (P<.05). From the perspective of the goodness of fit of the multiple regression prediction models, the results were closest to 1 for diabetes mellitus, stroke, atrial fibrillation and flutter, Hodgkin lymphoma, and testicular cancer; the coefficients of determination of their linear regression models for predicting incidence were 80%, 88%, 96%, 80%, and 78%, respectively. Meanwhile, the coefficient of determination of their linear regression models for predicting mortality was 82%, 62%, 94%, 78%, and 62%, respectively. CONCLUSIONS: An advanced understanding of search behaviors could augment traditional epidemiologic surveillance and could be used as a reference to aid in disease prediction and prevention.

Identification and analysis of oxygen responsive microRNAs in the root of wild tomato (S. habrochaites).

BACKGROUND: MicroRNA (miRNA) are key players in regulating expression of target genes at post-transcriptional level. A number of miRNAs are implicated in modulating tolerance to various abiotic stresses. Waterlogging is an abiotic stress that deters plant growth and productivity by hypoxia. Dozens of reports mention about the miRNAs expressed in response to waterlogging and hypoxia. Despite the fact that tomato is a model vegetable but waterlogging sensitive crop, the role of miRNAs in hypoxia tolerance is poorly understood in tomato. RESULTS: In this study, we investigated the differentially expressed miRNAs between hypoxia-treated and untreated wild tomato root by using high-throughput sequencing technology. A total of 33 known miRNAs were lowly expressed, whereas only 3 miRNAs showed higher expression in hypoxia-treated wild tomato root compared with untreated wild tomato root. Then two conserved and lowly expressed miRNAs, miR171 and miR390, were deactivated by Short Tandem Target Mimic (STTM) technology in Arabidopsis. As the results, the number and length of lateral roots were more in STTM171 and STTM390 transgenic lines compared with that of wild type plant, which partly phenocopy the increase root number and shortening the root length in hypoxia-treated wild tomato root. CONCLUSIONS: The differentially expressed miRNAs between hypoxia-treated wild tomato and control root, which contribute to the auxin homeostasis, morphologic change, and stress response, might result in reduction in the biomass and length of the root in hypoxiated conditions.

Association Between Cancer Incidence and Mortality in Web-Based Data in China: Infodemiology Study.

BACKGROUND: Cancer poses a serious threat to the health of Chinese people, resulting in a major challenge for public health work. Today, people can obtain relevant information from not only medical workers in hospitals, but also the internet in any place in real-time. Search behaviors can reflect a population's awareness of cancer from a completely new perspective, which could be driven by the underlying cancer epidemiology. However, such Web-retrieved data are not yet well validated or understood. OBJECTIVE: This study aimed to explore whether a correlation exists between the incidence and mortality of cancers and normalized internet search volumes on the big data platform, Baidu. We also assessed whether the distribution of people who searched for specific types of cancer differed by gender. Finally, we determined whether there were regional disparities among people who searched the Web for cancer-related information. METHODS: Standard Boolean operators were used to choose search terms for each type of cancer. Spearman's correlation analysis was used to explore correlations among monthly search index values for each cancer type and their monthly incidence and mortality rates. We conducted cointegration analysis between search index data and incidence rates to examine whether a stable equilibrium existed between them. We also conducted cointegration analysis between search index data and mortality data. RESULTS: The monthly Baidu index was significantly correlated with cancer incidence rates for 26 of 28 cancers in China (lung cancer: r=.80, P<.001; liver cancer: r=.28, P=.016; stomach cancer: r=.50, P<.001; esophageal cancer: r=.50, P<.001; colorectal cancer: r=.81, P<.001; pancreatic cancer: r=.86, P<.001; breast cancer: r=.56, P<.001; brain and nervous system cancer: r=.63, P<.001; leukemia: r=.75, P<.001; Non-Hodgkin lymphoma: r=.88, P<.001; Hodgkin lymphoma: r=.91, P<.001; cervical cancer: r=.64, P<.001; prostate cancer: r=.67, P<.001; bladder cancer: r=.62, P<.001; gallbladder and biliary tract cancer: r=.88, P<.001; lip and oral cavity cancer: r=.88, P<.001; ovarian cancer: r=.58, P<.001; larynx cancer: r=.82, P<.001; kidney cancer: r=.73, P<.001; squamous cell carcinoma: r=.94, P<.001; multiple myeloma: r=.84, P<.001; thyroid cancer: r=.77, P<.001; malignant skin melanoma: r=.55, P<.001; mesothelioma: r=.79, P<.001; testicular cancer: r=.57, P<.001; basal cell carcinoma: r=.83, P<.001). The monthly Baidu index was significantly correlated with cancer mortality rates for 24 of 27 cancers. In terms of the whole population, the number of women who searched for cancer-related information has slowly risen over time. People aged 30-39 years were most likely to use search engines to retrieve cancer-related knowledge. East China had the highest Web search volumes for cancer. CONCLUSIONS: Search behaviors indeed reflect public awareness of cancer from a different angle. Research on internet search behaviors could present an innovative and timely way to monitor and estimate cancer incidence and mortality rates, especially for cancers not included in national registries.

Association of accelerometer-derived physical activity with all-cause and cause-specific mortality among individuals with cardiovascular diseases: A prospective cohort study.

AIMS: To investigate the association of accelerometer-measured intensity-specific physical activity (PA) with all-cause and cause-specific mortality among individuals with cardiovascular disease (CVD). METHODS: In this prospective cohort study, 8,024 individuals with pre-existing CVD (mean age: 66.6 years, female: 34.1%) from the UK Biobank had their PA measured using wrist-worn accelerometers over a 7-day period in 2013-2015. All-cause, cancer, and CVD mortality was ascertained from death registries. Cox regression modelling and restricted cubic splines were used to assess the associations. Population-attributable fractions (PAFs) were used to estimate the proportion of preventable deaths if more PA were undertaken. RESULTS: During an average of 6.8 years of follow-up, 691 deaths (273 from cancer and 219 from CVD) were recorded. An inverse non-linear association was found between PA duration and all-cause mortality risk, irrespective of PA intensity. The hazard ratio (HR) of all-cause mortality plateaued at 1800 minutes/week for light-intensity PA (LPA), 320 minutes/week for moderate-intensity PA (MPA) and 15 minutes/week for vigorous-intensity PA (VPA). The highest quartile of PA associated lower risks for all-cause mortality, with HRs of 0.63 (95% confidence interval [CI]: 0.51-0.79), 0.42 (0.33-0.54) and 0.47 (0.37-0.60) for LPA, MPA, and VPA, respectively. Similar associations were observed for cancer and CVD mortality. Additionally, the highest PAF were noted for VPA, followed by MPA. CONCLUSION: We found an inverse non-linear association between all intensities of PA (LPA, MPA, VPA, and MVPA) and mortality risk in CVD patients using accelerometer-derived data, but with larger magnitude of the associations than that in previous studies based on self-reported PA.

This study investigated the associations of accelerometer-derived intensity-specific physical activity (PA) with the risks of all-cause and cause-specific mortality among individuals with cardiovascular disease (CVD). L-shaped dose-response relationships between the duration of PA and all-cause mortality were observed across all levels of PA intensities. The risk reduction for mortality exhibited a sharp decline from 0 to 1800 minutes/week of light-intensity PA, followed by reaching a plateau. Notably, the inflection points for moderate-intensity PA and vigorous-intensity PA were found at 320 and 15 minutes per week, respectively. The population-attributable fraction analysis indicated that a significant number of deaths could potentially be prevented if individuals with CVD engaged in more vigorous physical activities.

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.

Hearing disorders, genetic predisposition, and risk of new-onset atrial fibrillation: A prospective cohort study in the UK biobank.

BACKGROUND: Atrial fibrillation (AF) is the most common sustained arrhythmia and is associated with significant morbidity and mortality. Hearing impairment has been linked to several cardiovascular diseases. However, the association between hearing disorders, genetic predisposition, and new-onset AF remains largely unknown. METHODS: A total of 476,773 participants (mean age 56.5 years) free of AF at baseline (from 2006 to 2010) were included from the UK Biobank study. The presence of hearing disorders including hearing difficulty and tinnitus was self-reported through the touchscreen questionnaire. AF was defined using ICD-10 code: I48 and was followed till February 1st. 2022. The Cox model was used to calculate hazard ratios (HRs) and 95% confidence intervals (95% CI). RESULTS: During a median follow-up of 13.0 years, the AF incidence rate was 2.9 per 1000 person-years. After adjustments for potential confounders, the presence of hearing difficulty (HR, 1.35; 95% CI: 1.32-1.39) and the use of hearing aid (1.45; 1.37-1.53) were significantly associated with risk of new-onset AF. Compared to individuals without tinnitus, the AF risk increased by 17% among those who experienced tinnitus occasionally (1.17; 1.09-1.25), 23% among those who experienced tinnitus frequently (1.23; 1.10-1.39), and 32% among those who experienced tinnitus consistently (1.32; 1.22-1.42). No significant difference was observed across different groups of genetic risk score for AF onset. CONCLUSIONS: Our study provides evidence regarding significant associations of hearing difficulty, use of hearing aid, and tinnitus with risk of incident AF. Findings highlight the potential that screening hearing disorders can benefit AF prevention.

Accelerometer-derived physical activity and mortality in individuals with type 2 diabetes.

Physical activity (PA) has been shown to reduce diabetes mortality, but largely based on imprecise self-reported data, which may hinder the development of related recommendations. Here, we perform a prospective cohort study of 19,624 individuals with type 2 diabetes (T2D) from the UK Biobank with a median follow-up of 6.9 years. Duration and intensity of PA are measured by wrist-worn accelerometers over a 7-day period. We observe L-shaped associations of longer duration of PA, regardless of PA intensity, with risks of all-cause and cancer mortality, as well as a negatively linear association with cardiovascular disease mortality. 12.7%, 15.8%, and 22.3% of deaths are attributable to the lowest level of light-intensity, moderate-intensity PA, and vigorous-intensity PA, respectively. Collectively, our findings provide insights for clinical guidelines that should highlight the potential value of adherence to greater intensity and duration of PA for patients with T2D.

Leucocyte telomere length, brain volume and risk of dementia: a prospective cohort study.

Background: The evidence regarding the association between leucocyte telomere length (LTL) and brain health is sparse and inconclusive. Aims: To investigate the associations of LTL with brain structure and the risk of dementia based on a large-scale prospective study. Methods: LTL in the peripheral blood was measured by the quantitative polymerase chain reaction (qPCR) assay from 439 961 individuals in the UK Biobank recruited between 2006 and 2010 and followed up until 2020. Electronic health records were used to record the incidence of dementia, including Alzheimer's disease (AD) and vascular dementia (VD). The brain structure, including total and regional brain volume, of 38 740 participants was then assessed by magnetic resonance imaging (MRI). Results: During a median follow-up of 11.6 years, a total of 5 820 (1.3%) dementia cases were documented. The restricted cubic spline model showed significant overall associations between LTL and the risk of dementia and AD (p for overall <0.05). The multivariable adjusted hazard ratios (HRs) for the lowest LTL tertile compared with the highest LTL tertile were 1.14 (95% confidence interval (CI): 1.06 to 1.21) for dementia, 1.28 (95% CI: 1.12 to 1.46) for AD and 1.18 (95% CI: 0.98 to 1.42) for VD. Furthermore, we found that shorter LTL was associated with smaller total brain volume (ß=-0.012 8, p=0.003), white matter volume (ß=-0.022 4, p<0.001), hippocampus volume (ß=-0.017 2, p<0.001), thalamus volume (ß=-0.023 9, p<0.001) and accumbens (ß=-0.015 5, p=0.001). Conclusions: Shorter LTL is associated with total and regional brain structure and a higher risk of incident dementia and AD, implying the potential of telomere length as a predictive biomarker of brain health.

Healthy sleep patterns and common mental disorders among individuals with cardiovascular disease: A prospective cohort study.

BACKGROUND: Sleep behaviors are potentially modifiable risk factors for common mental disorders and cardiovascular disease (CVD). However, the associations between combined sleep behaviors and common mental disorders among individuals with CVD remain unclear. METHODS: A total of 18,776 participants with a history of CVD from UK Biobank, who were free of depression or anxiety from 2006 to 2010 were included. A composite healthy sleep score was constructed based on five sleep behaviors (chronotype, sleep duration, insomnia, snoring, and excessive daytime sleepiness). Cox proportional hazard regression models were performed to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs) for incident depression and anxiety. RESULTS: During a median follow-up of 11.8 years, 965 depression and 812 anxiety cases were recorded. The adjusted HRs for participants with a healthy sleep pattern compared with a poor sleep pattern were 0.45 (95 % CI: 0.35-0.57) for depression and 0.77 (95 % CI: 0.58-1.03) for anxiety. There was a linear dose-response association of healthy sleep score with incident depression and anxiety (HR = 0.82, 95 % CI: 0.77-0.87; HR = 0.92, 95 % CI: 0.86-0.99 per 1-score increase, respectively). Likewise, these associations were observed among individuals with coronary heart disease, stroke, heart failure and atrial fibrillation. CONCLUSIONS: A healthy sleep pattern is significantly associated with a lower risk of depression among individuals with CVD, highlighting the importance of monitoring and improving sleep health in the prevention of common mental disorders among individuals with CVD.

Effect of psychotropics on the risk of COVID-19 in middle-aged and older adults.

Older adults have been markedly impacted by the coronavirus disease 19 (COVID-19) pandemic, and many reports have cited concerns regarding potential psychiatric sequelae of coronavirus disease (COVID-19), but the actual effects of psychotropics on the COVID-19 are unclear. In this study, multivariate logistic regression was used to evaluate associations between the prescription of psychotropics and the risk of SARS-CoV-2 infection, and COVID-19-related death among the participants who were tested for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) before October 18, 2021, in UK Biobank. The psychotropics included 18 types of medications. Among 168,173 participants who underwent testing for SARS-CoV-2 RNA, 30,577 (18.2%) were positive, and 14,284 (8.5%) participants used psychotropics. Among 30,577 participants who were infected with SARS-CoV-2, 1,181 (3.9%) were COVID-19-related deaths, and 2,542 (8.3%) participants used psychotropics. In multivariate logistic regression, psychotropics use was significantly associated with the risk of SARS-CoV-2 infection (odds ratio [OR], 0.95; 95% confidence interval [CI], 0.88-0.98), and COVID-19-related death (OR, 0.78; 95% CI, 0.64-0.98). Interestingly, the use of diazepam was significantly associated with a 31% lower risk of SARS-CoV-2 infection (OR, 0.69; 95% CI, 0.53-0.88). The use of sertraline was significantly associated with a 89% lower risk of COVID-19-related death (OR, 0.11; 95% CI, 0.02-0.39). In conclusion, our findings suggested that the use of psychotropics was associated with a lower risk of SARS-CoV-2 infection and COVID-19-related deaths.

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.

The association between coffee consumption and risk of incident depression and anxiety: Exploring the benefits of moderate intake.

Accumulating evidence has reported the associations of coffee consumption with physical conditions and mortality, but the associations with mental disorders were limited. The objective of this study was to examine the associations of coffee consumption with incident depression and anxiety, and to assess whether the associations differed by coffee subtypes (instant, ground, and decaffeinated coffee) or additives (milk, sugar-sweetened, and artificial-sweetened). In this prospective cohort study, we utilized data from the UK Biobank and included a total of 146,566 participants who completed the touchscreen questionnaire at baseline between 2006 and 2010. During the follow-up, incident depression and anxiety were measured in 2016 using the Patient Health Questionnaire (PHQ)-9 and the Generalised Anxiety Disorder Assessment (GAD)-7, respectively. Multivariable-adjusted logistic regression models and restricted cubic splines were used to assess the associations. Approximately 80.7% of participants reported consuming coffee, and most drank 2 to 3 cups per day (41.2%). We found J-shaped associations between coffee consumption and both incident depression and anxiety, with the lowest risk of the mental disorders occurring at around 2-3 cups per day. Results were similar for participants who drank 2-3 cups of ground coffee, milk-coffee, or unsweetened coffee. Our findings highlight that 2-3 cups of coffee consumption could be recommended as part of a healthy lifestyle to improve mental health.

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.

Cardiorespiratory fitness, genetic susceptibility, inflammation and risk of incident type 2 diabetes: A population-based longitudinal study.

OBJECTIVE: To examine whether the association between cardiorespiratory fitness (CRF) and type 2 diabetes (T2D) is modified by genetic susceptibility and inflammation. PARTICIPANTS: The prospective study included 57,185 participants (40-70 years) who were free from T2D and received the CRF assessment at enrollment (2006-2010) in the UK biobank. CRF was examined through a submaximal cycle ergometer test and expressed in metabolic equivalent of tasks (METs), genetic susceptibility was quantified using a genetic risk score, and inflammation was assessed according to the concentration of C-reactive protein. All these three factors were categorized into tertiles. RESULTS: During a median follow-up of 10.4 years, 5477 (7.0%) cases of T2D were ascertained. CRF was inversely associated with the risk of T2D in a dose-response manner. The hazard ratio (HR) was 0.85 (95% confidence interval [CI]: 0.79-0.92) per 1 MET increment of CRF. There was a significant interaction between CRF and genetic susceptibility to T2D in relation to the risk of T2D (P for interaction = 0.03). Compared with participants with high CRF and low genetic susceptibility, the HR was 4.98 (95% CI: 3.17-7.82) for those with low CRF and high genetic susceptibility. A similar pattern was observed in participants with low CRF and high inflammation compared with those who had high CRF and low inflammation (HR = 2.53; 95% CI: 1.83-3.48), though the interaction between CRF and inflammation did not reach statistical significance. T2D risk declined progressively with increased CRF among different inflammation categories. CONCLUSION: Our study reveals that genetic susceptibility may modify the association between CRF and T2D, highlighting that risk of T2D associated with genetics could benefit most from interventions on improving CRF.

The role of type 2 diabetes in the association between habitual glucosamine use and dementia: a prospective cohort study.

BACKGROUND: Growing evidence has showed an association between habitual glucosamine use and type 2 diabetes (T2D). However, the effect of habitual glucosamine use on risk of dementia remains poorly understood. Our study aimed to examine the association between glucosamine use and risk of dementia and further to identify the mediating role of T2D in the association. METHODS: A total of 495,942 participants from UK Biobank who completed a questionnaire on habitual glucosamine use were included at baseline (2006-2010) and then followed up for incidence of dementia until 2020. Cox proportional hazard regressions were performed to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident dementia. Markov multi-state models were used to explore the role of incidence of T2D during the follow-up in the association. RESULTS: Overall, 18.80% of the participants reported habitual use of glucosamine at baseline. A total of 6831 dementia events were recorded during a median follow-up of 11 years. In fully adjusted models, habitual glucosamine use was associated with a significantly lower risk of dementia (HR = 0.87, 95% CI: 0.82-0.93). Multi-state models showed that the association between glucosamine use and dementia was mediated by the incidence of T2D during the follow-up (HR of dementia without T2D: 0.92, 95% CI: 0.86-0.99; HR of post-T2D dementia: 0.79, 95% CI: 0.67-0.93). CONCLUSIONS: Our findings reveal that habitual use of glucosamine supplement is associated with a lower risk of dementia, which might be explained by incidence of T2D.