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Dysregulation of the immune system and dietary patterns that increase inflammation can increase the risk for cognitive decline, but the mechanisms by which inflammatory nutritional habits may affect the development of cognitive impairment in aging are not well understood. To determine whether plasma proteins linked to inflammatory diet predict future cognitive impairment, we applied high-throughput proteomic assays to plasma samples from a subset (n = 1528) of Women's Health Initiative Memory Study (WHIMS) participants (mean [SD] baseline age, 71.3 [SD 3.8] years). Results provide insights into how inflammatory nutritional patterns are associated with an immune-related proteome and identify a group of proteins (CXCL10, CCL3, HGF, OPG, CDCP1, NFATC3, ITGA11) related to future cognitive impairment over a 14-year follow-up period. Several of these inflammatory diet proteins were also associated with dementia risk across two external cohorts (ARIC, ESTHER), correlated with plasma biomarkers of Alzheimer's disease (AD) pathology (Aß42/40) and/or neurodegeneration (NfL), and related to an MRI-defined index of neurodegenerative brain atrophy in a separate cohort (BLSA). In addition to evaluating their biological relevance, assessing their potential role in AD, and characterizing their immune-tissue/cell-specific expression, we leveraged published RNA-seq results to examine how the in vitro regulation of genes encoding these candidate proteins might be altered in response to an immune challenge. Our findings indicate how dietary patterns with higher inflammatory potential relate to plasma levels of immunologically relevant proteins and highlight the molecular mediators which predict subsequent risk for age-related cognitive impairment.
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Doença de Alzheimer , Disfunção Cognitiva , Humanos , Feminino , Idoso , Proteômica , Doença de Alzheimer/metabolismo , Disfunção Cognitiva/psicologia , Dieta , Proteínas Sanguíneas , Biomarcadores , Proteínas tau , Peptídeos beta-Amiloides , Antígenos de Neoplasias , Moléculas de Adesão CelularRESUMO
INTRODUCTION: Alzheimer's disease (AD) and AD-related dementias (ADRD) are leading causes of death among older adults in the United States. Efforts to understand risk factors for prevention are needed. METHODS: Participants (n = 146,166) enrolled in the Women's Health Initiative without AD at baseline were included. Diabetes status was ascertained from self-reported questionnaires and deaths attributed to AD/ADRD from hospital, autopsy, and death records. Competing risk regression models were used to estimate the cause-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for the prospective association of type 2 diabetes mellitus (T2DM) with AD/ADRD and non-AD/ADRD mortality. RESULTS: There were 29,393 treated T2DM cases and 8628 AD/ADRD deaths during 21.6 (14.0-23.5) median (IQR) years of follow-up. Fully adjusted HRs (95% CIs) of the association with T2DM were 2.94 (2.76-3.12) for AD/ADRD and 2.65 (2.60-2.71) for the competing risk of non-AD/ADRD mortality. DISCUSSION: T2DM is associated with AD/ADRD and non-AD/ADRD mortality. HIGHLIGHTS: Type 2 diabetes mellitus is more strongly associated with Alzheimer's disease (AD)/AD and related dementias (ADRD) mortality compared to the competing risk of non-AD/ADRD mortality among postmenopausal women. This relationship was consistent for AD and ADRD, respectively. This association is strongest among participants without obesity or hypertension and with younger age at baseline, higher diet quality, higher physical activity, higher alcohol consumption, and older age at the time of diagnosis of type 2 diabetes mellitus.
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Doença de Alzheimer , Demência , Diabetes Mellitus Tipo 2 , Humanos , Feminino , Estados Unidos/epidemiologia , Idoso , Doença de Alzheimer/diagnóstico , Demência/epidemiologia , Demência/complicações , Diabetes Mellitus Tipo 2/epidemiologia , Diabetes Mellitus Tipo 2/complicações , Pós-Menopausa , Saúde da MulherRESUMO
BACKGROUND: Hypertension is highly prevalent and associated with the elevated risks of cardiovascular diseases, dementia, and physical disabilities among adults. Although the correlation between bilirubin and hypertension has been reported, the observation in quinquagenarian population is scarce. We aimed to examine bilirubin-hypertension association in Guankou Ageing Cohort Study. METHODS: Participants ≥ 55 years were recruited and their questionnaires and physical examination data were collected. Kaplan-Meier survival analysis and Cox proportional hazards regression were implemented to assess the hypertension risk. The non-liner dose-response relationships of bilirubin-hypertension were determined by restricted cubic spline (RCS) models. Receiver operating characteristic (ROC) curves and multiple factors analysis (MFA) were performed to evaluate the predictive abilities. RESULTS: 1881 eligible participants (male 43.75%, female 56.25%) with the median age of 61.00 (59.00-66.00) were included. The hazard ratio (HR, 95% CI) of serum total bilirubin (STB) and unconjugated bilirubin (UCB) were 1.03 (1.01-1.05) and 1.05 (1.03-1.07), while conjugated bilirubin (CB) showed a weak protective effect with the HR of 0.96 (0.92-0.99), and the associations remained significant in all models. RCS analyses further indicated the similar bidirectional effects of STB and UCB with the cut-off of 12.17 µmol/L and 8.59 µmol/L, while CB exhibited inverse bidirectional dose-response relationship with a cut-off of 3.47 µmol/L. ROC curves and MFA showed baseline STB combined with age, BMI, and waist circumference could well discriminate the low and high of hypertension risk. CONCLUSIONS: Our findings suggested the higher levels of total and unconjugated bilirubin were hazardous factors of hypertension, while an inverse effect presented when more bilirubin was conjugated.
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Bilirrubina , Hipertensão , Adulto , Envelhecimento , China/epidemiologia , Estudos de Coortes , Feminino , Seguimentos , Humanos , Masculino , Estudos Prospectivos , Fatores de RiscoRESUMO
BACKGROUND: Despite some reports of cardiometabolic disorders associated with the risk of Alzheimer's disease (AD), limited studies have been conducted to examine the association between excessive sugar intake (a risk factor for cardiometabolic disorders) and AD risk. AIM: The purpose of our study was to evaluate if excessive sugar intake has a significant long-term effect on the risk of AD. METHODS: A population sample of 37,689 participants, who enrolled in the United States (US) Women's Health Initiative - Dietary Modification Trial (WHI-DM) in 1993-2005 and its extended observational follow-up study through 1 March 2019, were analyzed. Dietary sugar intake was measured using food frequency questionnaires. AD was classified by reports using a standard questionnaire. A dietary pattern that explained the maxima variations in sugar intake was constructed using reduced rank regression (RRR) technique. Associations of RRR dietary pattern scores and sugar intake (g/day) by quartiles (Q1 through Q4) with AD risk were examined using Cox proportional hazards regression analysis with adjusting for key covariates. RESULTS: During a mean follow-up of 18.7 years, 4586 participants reported having incident AD. The total incidence rate (95% confidence interval [CI]) of AD was 6.5 (6.3-6.7) per 1000 person-years (PYs). The incidence rates (95% CI) of AD by total sugar intake were 6.2 (5.8-6.6), 6.4 (6.0-6.8), 6.6 (6.3-7.0), and 6.9 (6.5-7.3) per 1000 PYs among those in quartiles (Q) 1 to Q4 (toward higher sugar consumption) of total sugar intake, respectively (test for trend of AD incident rates, p < 0.001). Individuals in Q4 of total sugar intake had a 1.19 higher risk of incident AD than those in Q1 (hazard ratio [HR] = 1.19, 95% CI: 1.05-1.34, p = 0.01). An estimated increase of 10â g/day in total sugar intake (about 2.4 teaspoons) was associated with an increased AD risk by 1.3-1.4%. Of six subtypes of sugar intake, lactose was significantly associated with AD risk. CONCLUSIONS: Our study indicates that excessive total sugar intake was significantly associated with AD risk in women. Of six subtypes of sugar intake, lactose had a stronger impact on AD risk.
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Doença de Alzheimer , Doenças Cardiovasculares , Humanos , Feminino , Estados Unidos/epidemiologia , Idoso , Seguimentos , Doença de Alzheimer/epidemiologia , Doença de Alzheimer/etiologia , Lactose , Carboidratos da Dieta , Fatores de Risco , Incidência , Açúcares da Dieta/efeitos adversosRESUMO
BACKGROUND: We assessed whether postmenopausal hormone therapy (HT) was associated with incident heart failure (HF) and its subtypes and examined whether there was a modifying effect of age on the associations. METHODS AND RESULTS: Postmenopausal women aged 50-79 enrolled in the Women's Health Initiative HT trials were analyzed. The 16,486 women with a uterus were randomized to receive conjugated equine estrogens (CEE 0.625 mg/day) plus medroxyprogesterone acetate (MPA 2.5 mg/day) or placebo, and 10,739 women with prior hysterectomy were randomized to receive CEE (0.625 mg/day) alone or placebo. Incident HF was defined as the first HF hospitalization. HF with reduced ejection fraction (HFrEF) or preserved EF (HFpEF) was defined as EF < 50% or ≥ 50%. During the intervention phase, median follow-up was 5.6 years in the CEE-plus-MPA trial and 7.2 years in the CEE-alone trial. During the cumulative follow-up of 18.9 years, women randomized to HT vs placebo in the 2 combined trials had incidence rates of 3.90 vs 3.89 per 1000 person-years for total HF; 1.25 vs 1.40 per 1000 person-years for HFrEF, and 1.88 vs 1.79 per 1000 person-years for HFpEF, respectively. There were no significant effects of HT on the risk of total incident HF or its subtypes in either trial, and age at randomization did not significantly modify the results. CONCLUSIONS: Postmenopausal HT did not alter the risk of hospitalization for HF or its subtypes during the intervention or cumulative 18.9 years of follow-up, and results did not vary significantly by age at randomization. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT0000611 https://clinicaltrials.gov/ct2/show/NCT00000611?cond=women%27s±health±initiative&rank=5.
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Insuficiência Cardíaca/epidemiologia , Terapia de Reposição Hormonal/tendências , Hospitalização/tendências , Pós-Menopausa/efeitos dos fármacos , Saúde da Mulher/tendências , Idoso , Método Duplo-Cego , Estrogênios Conjugados (USP)/administração & dosagem , Estrogênios Conjugados (USP)/efeitos adversos , Feminino , Seguimentos , Insuficiência Cardíaca/induzido quimicamente , Insuficiência Cardíaca/metabolismo , Terapia de Reposição Hormonal/efeitos adversos , Humanos , Acetato de Medroxiprogesterona/administração & dosagem , Acetato de Medroxiprogesterona/efeitos adversos , Pessoa de Meia-Idade , Pós-Menopausa/metabolismo , Volume Sistólico/efeitos dos fármacos , Volume Sistólico/fisiologiaRESUMO
BACKGROUND: The association between helicobacter pylori (Hp) infection and coronary heart disease (CHD) has long been debated, and the results from previous meta-analysis are varied. AIMS: The aim for this study was to identify the association between Hp and CHD using published perspective cohort studies. MATERIALS AND METHODS: A systematic review and meta-analysis were performed on studies published from January, 1992 to April, 2014. All studies included used data from prospective cohort studies of CHD events or CHD deaths. Random effect models were applied in all estimations. RESULTS: H. pylori infection increased the risk of CHD events by 11% (19 studies, n = 22,207, risk ratio (RR) = 1.11, 95% confidence interval (CI): 1.01-1.22). This effect was greater for studies that had less than 5 years' follow-up time (RR = 1.15, 95% CI: 1.00-1.32). However, this effect was not significant for studies that had follow-up times ≥10 years (n = 5100, RR = 1.04, 95% CI: 0.87-1.24). Neither Cag-A seropositive nor Cag-A seronegative strains of H. pylori were associated with a significantly increased risk of CHD events or deaths based on the current published data. CONCLUSION: In conclusion, H. pylori infection increased the risk of CHD events, especially in a patient's early life, but this association was weaker or might be masked by other CHD risk factors in long-term observations.
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Doença da Artéria Coronariana/microbiologia , Infecções por Helicobacter/complicações , Helicobacter pylori/fisiologia , Doença da Artéria Coronariana/etiologia , Infecções por Helicobacter/microbiologia , Humanos , Estudos Prospectivos , Fatores de RiscoRESUMO
BACKGROUND: Obesity is a major independent risk factor for chronic diseases such as hypertension and coronary diseases, it might not be only related to the amount of body fat but its distribution. The single body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) or waist to stature ratio (WSR) provides limited information on fat distribution, and the debate about which one is the best remained. On the other hand, the current classification of body shape is qualitative rather than quantitative, and only crudely measure fat distribution. Therefore, a synthetical index is highly desirable to quantify body shape. METHODS: Based on the China Health and Nutrition Survey (CHNS) data, using Lohmäller PLSPM algorithm, six Partial Least Squares Path Models (PLSPMs) between the different obesity measurements and hypertension as well as two synthetical body shape scores (BSS1 by BMI/WC/Hip circumference, BSS2 by BMI/WC/WHR/WSR) were created. Simulation and real data analysis were conducted to assess their performance. RESULTS: Statistical simulation showed the proposed model was stable and powerful. Totally 15,172 (6,939 male and 8,233 female) participants aged from 18 to 87 years old were included. It indicated that age, height, weight, WC, WHR, WSR, SBP, DBP, the prevalence of hypertension and obesity were significantly sex-different. BMI, WC, WHR, WSR, Hip, BSS1 and BSS2 between hypertension and normotensive group are significantly different (p < 0.05). PLSPM method illustrated the biggest path coefficients (95% confidence interval, CI) were 0.220(0.196, 0.244) for male and 0.205(0.182, 0.228) for female in model of BSS1. The area under receiver-operating characteristic curve (AUC(95% CI)) of BSS1(0.839(0.831,0.847)) was significantly larger than that of BSS2(0.834(0.825,0.842)) as well as the four single indices for female, and similar trend can be found for male. CONCLUSIONS: BSS1 was an excellent measurement for quantifying body shape and detecting the association between body shape and hypertension.
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Hipertensão/epidemiologia , Obesidade/epidemiologia , Relação Cintura-Quadril , Tecido Adiposo , Adulto , Idoso , Pressão Sanguínea , Estatura , Índice de Massa Corporal , Peso Corporal , China/epidemiologia , Feminino , Humanos , Hipertensão/prevenção & controle , Masculino , Pessoa de Meia-Idade , Obesidade/prevenção & controle , Prevalência , Curva ROC , Fatores de Risco , Circunferência da Cintura , Adulto JovemRESUMO
This pioneering study introduces the use of transformer-based machine learning models and explainable AI approaches to explore the impact of nutrition on Alzheimer's disease (AD) mortality. Using data from the Third National Health and Nutrition Examination Survey (Nhanes iii 1988 to 1994) and the NHANES III Mortality-Linked File (2019) databases, we investigate the intricate relationship between various nutritional factors and AD mortality. Our approach features a novel application of transformer models, which are then benchmarked against established methods like random forests and support vector machines. This comparison not only underscores the strengths of transformer models in handling complex medical datasets but also highlights their potential for providing deeper insights into disease progression. Key findings, such as the significant roles of Platelet distribution width in AD mortality in transformer and Serum Vitamin B12 in random forest, are enhanced by the use of Explainable Artificial Intelligence (XAI), particularly the Shapley Additive Explanations (SHAP) and the integrated gradient methods. This study serves as a vital step forward in applying advanced AI techniques to medical research, offering new perspectives in understanding and combating Alzheimer's Disease.
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Background and objectives: There is a scarcity of data stemming from large-scale epidemiological longitudinal studies focusing on potentially preventable and controllable risk factors for Alzheimer's disease (AD) and AD-related dementia (ADRD). This study aimed to examine the effect of multiple metabolic factors and cardiovascular disorders on the risk of cognitive decline and AD/ADRD. Methods: We analyzed a cohort of 6,440 participants aged 45-84 years at baseline. Multiple metabolic and cardiovascular disorder factors included the five components of the metabolic syndrome [waist circumference, high blood pressure (HBP), elevated glucose and triglyceride (TG) concentrations, and reduced high-density lipoprotein cholesterol (HDL-C) concentrations], C-reactive protein (CRP), fibrinogen, interleukin-6 (IL-6), factor VIII, D-dimer, and homocysteine concentrations, carotid intimal-medial thickness (CIMT), and urine albumin-to-creatinine ratio (ACR). Cognitive decline was defined using the Cognitive Abilities Screening Instrument (CASI) score, and AD/ADRD cases were classified using clinical diagnoses. Results: Over an average follow-up period of 13 years, HBP and elevated glucose, CRP, homocysteine, IL-6, and ACR concentrations were significantly associated with the risk of mortality in the individuals with incident AD/ADRD or cognitive decline. Elevated D-dimer and homocysteine concentrations, as well as elevated ACR were significantly associated with incident AD/ADRD. Elevated homocysteine and ACR were significantly associated with cognitive decline. A dose-response association was observed, indicating that an increased number of exposures to multiple risk factors corresponded to a higher risk of mortality in individuals with cognitive decline or with AD/ADRD. Conclusion: Findings from our study reaffirm the significance of preventable and controllable factors, including HBP, hyperglycemia, elevated CRP, D-dimer, and homocysteine concentrations, as well as, ACR, as potential risk factors for cognitive decline and AD/ADRD.
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DNA methylation (DNAm)-based deconvolution estimates contain relative data, forming a composition, that standard methods (testing directly on cell proportions) are ill-suited to handle. In this study we examined the performance of an alternative method, analysis of compositions of microbiomes (ANCOM), for the analysis of DNAm-based deconvolution estimates. We performed two different simulation studies comparing ANCOM to a standard approach (two sample t-test performed directly on cell proportions) and analyzed a real-world data from the Women's Health Initiative to evaluate the applicability of ANCOM to DNAm-based deconvolution estimates. Our findings indicate that ANCOM can effectively account for the compositional nature of DNAm-based deconvolution estimates. ANCOM adequately controls the false discovery rate while maintaining statistical power comparable to that of standard methods.
DNA methylation (DNAm)-based deconvolution provides highly accurate estimates of the proportion of each cell type in a mixed-cell type biological sample (e.g., whole-blood). These estimates can be used for examining the association between cell type proportions and biological or clinical end points; for example, comparing the estimated neutrophil proportion in whole blood between smokers and non-smokers. Cell proportion data has unique features which present challenges for traditional and widely used statistical methods. In response to this issue, our work presents two simulation studies and a real-world analysis that benchmark the performance of current standard statistical methods against an alternative method called analysis composition of microbes (ANCOM), which was originally developed for the analysis of microbiome data. In our real-world analysis we used DNAm data collected from Women's Health Initiative Long Life Study I and compared the results of each method against a gold-standard that is typically not available for these analyses. In each of our simulation studies, ANCOM was able to detect true differences in cell proportions between the groups being compared but had a much lower rate of false discovery compared with the standard statistical methods. Our real-world analysis demonstrated similar findings. Overall, our study highlights the potential of ANCOM as a powerful and robust method for analyzing DNAm-derived deconvolution estimates when the interest is comparisons of cell type proportions and biological or clinical end points. ANCOM's ability to minimize false discovery while maintaining robust statistical power positions it as a valuable addition to the epigenomic analysis toolkit.
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We aimed to test two hypotheses that (1) there were significant variations in the prevalence of hypertension (HBP) across neighborhoods in the city of Philadelphia and (2) these variations were significantly explained by the variations in the neighborhood physical and socioeconomic environment (PSE). We used data from the Southeastern Pennsylvania Household Health Surveys in 2002-2004 (study period 1, n = 8,567), and in 2008-2010 (period 2, n = 8,747). An index of neighborhood PSE was constructed using multiple specific measures. The associations of HBP with PSE at the neighborhood level and other risk factors at the individual level were examined using multilevel regression analysis. The results show that age-adjusted prevalence of HBP increased from 30.33 to 33.04 % from study periods 1 to 2 (p < 0.001). An estimate of 44 and 53 % of the variations in the prevalence of HBP could be explained by the variations in neighborhood PSE in study periods 1 and 2, respectively. In conclusion, prevalence of HBP significantly increased from 2002-2004 to 2008-2010. Individuals living in neighborhoods with disadvantaged PSE have significantly higher risk of the prevalence of HBP.
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Hipertensão/epidemiologia , Saúde da População Urbana/estatística & dados numéricos , Adolescente , Adulto , Distribuição por Idade , Idoso , Peso Corporal , Estudos Transversais , Feminino , Comportamentos Relacionados com a Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Philadelphia , Características de Residência , Fatores de Risco , Distribuição por Sexo , Fatores Socioeconômicos , Adulto JovemRESUMO
BACKGROUND: Our aim was to assess the associations between vitamin D (vitD) status, metabolic profile and polymorphisms in genes involved in the transport (Group-Component: GC) and the hydroxylation (NAD synthetase 1: NADSYN1) of 25 hydroxyvitamin D (25(OH)D) in non-diabetic individuals. METHODS: We conducted a cross-sectional study with 323 individuals recruited from the Health Center of Guadeloupe, France. The rs2282679 T > G and rs2298849 T > C in GC and rs12785878 G > T in NADSYN1 were genotyped. RESULTS: Mean age was 46(range 18-86) years. 57% of participants had vitD insufficiency, 8% had vitD deficiency, 61% were overweight and 58% had dyslipidemia. A higher frequency of overweight was noted in women carrying rs2298849T allele v CC carriers (71% v 50%; P = 0.035). The rs2282679G allele was associated with increased risks of vitD deficiency and vitD insufficiency (OR =3.53, P = 0.008, OR = 2.34, P = 0.02 respectively). The rs2298849 TT genotype was associated with vitD deficiency and overweight (OR =3.4, P = 0.004 and OR = 1.76, P = 0.04 respectively) and the rs12785878 GG genotype with vitD insufficiency and dyslipidemia (OR = 1.80, P = 0.01 and OR = 1.72, P = 0.03 respectively). Based on the number of risk alleles for rs2282679 and rs12785878 combined, a genotype score of 3 (vs. 0-1) was associated with a 5.5 ng/mL average reduction in serum 25(OH)D levels (P = 0.001). CONCLUSIONS: The GC and NADSYN1 genes are associated with the vitamin D status and might contribute to dyslipidemia and overweight independently of 25(OH)D levels.
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BACKGROUND: A limited number of studies have been conducted to test the magnitudes of the association between apparent treatment resistant hypertension (aTRH) and risk of cardiovascular disease (CVD). AIM: To investigate the association between aTRH and risk of CVD and examine whether sex and age modify this association. METHODS: We applied an observational analysis study design using data from the United States Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). ALLHAT recruited participants (n = 25516) from 625 primary care settings throughout the United States, Canada, Puerto Rico, and United States Virgin Islands, aged 55 and older with hypertension and at least one additional risk factor for heart disease. aTRH was assessed from the year 2 visit. CVD event was defined as one of the following from the year 2 follow-up visit: Fatal or non-fatal myocardial infarction, coronary revascularization, angina, stroke, heart failure, or peripheral artery disease. Cox proportional hazards regression was used to examine the effect of aTRH on CVD risk. Potential modifications of sex and age on this association were examined on the multiplicative scale by interaction term and additive scale by joint effects and relative excess risk for interaction. RESULTS: Of the total study participants (n = 25516), 5030 experienced a CVD event during a mean of 4.7 years follow-up. aTRH was associated with a 30% increase in risk of CVD compared to non-aTRH [hazards ratio (HR) = 1.3, 95%CI: 1.19-1.42]. Sex and age modified this relationship on both multiplicative and additive scales independently. Stratified by sex, aTRH was associated with a 64% increase in risk of CVD (HR = 1.64, 95%CI: 1.43-1.88) in women, and a 13% increase in risk of CVD (HR = 1.13, 95%CI: 1.01-1.27) in men. Stratified by age, aTRH had a stronger impact on the risk of CVD in participants aged < 65 (HR = 1.53, 95%CI: 1.32-1.77) than it did in those aged ≥ 65 (HR = 1.18, 95%CI: 1.05-1.32). Significant two-way interactions of sex and aTRH, and age and aTRH on risk of CVD were observed (P < 0.05). The observed joint effect of aTRH and ages ≥ 65 years (HR = 1.85, 95%CI: 1.22-2.48) in males was less than what was expected for both additive and multiplicative models (HR = 4.10, 95%CI: 3.63-4.57 and 4.88, 95%CI: 3.66-6.31), although three-way interaction of sex, age, and aTRH on the risk of CVD and coronary heart disease did not reach a statistical significance (P > 0.05). CONCLUSION: aTRH was significantly associated with an increased risk of CVD and this association was modified by both sex and age. Further studies are warranted to test these mechanisms.
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PURPOSE: To examine the association between pre-existing cardiovascular disorders and the risk of coronavirus disease 2019 (COVID-19) among community-dwelling adults in the United States. METHODS: We analyzed data from the 2021 National Health Interview Survey, encompassing 28,848 nationally representative participants aged ≥18. We examined the association by two age groups, younger adults (aged 18-59) and older adults (aged ≥60). Weighted analyses were conducted to consider the complex sampling design used in the National Health Interview Survey. RESULTS: The results show that 13.9% of younger and 8.2% of older adults were infected with coronavirus, corresponding to a nationwide estimate of 23,701,358 COVID-19 cases in younger adults and 6310,206 in older adults in 2021. Pre-existing cardiovascular risk factors (overweight, obesity, hypertension, and diabetes) in both age groups and pre-existing cardiovascular diseases (angina, heart attack, and coronary heart disease) in older adults were significantly associated with COVID-19 infection. Significant dose-response relationships existed between increased pre-existing cardiovascular risk factors and COVID-19 infection, with the strongest association in non-Hispanic Black, followed by Hispanic ethnicities and non-Hispanic White. CONCLUSIONS: Pre-existing cardiovascular disorders are significantly associated with the risk of COVID-19 infection. The magnitudes of this risk association are more substantial among minority populations.
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COVID-19 , Doenças Cardiovasculares , Idoso , Humanos , Negro ou Afro-Americano/estatística & dados numéricos , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etnologia , COVID-19/epidemiologia , COVID-19/etnologia , Fatores de Risco de Doenças Cardíacas , Fatores de Risco , Estados Unidos/epidemiologia , Adolescente , Adulto Jovem , Adulto , Pessoa de Meia-Idade , Hispânico ou Latino/estatística & dados numéricos , Brancos/estatística & dados numéricosRESUMO
BACKGROUND: Charcot-Marie-Tooth disease and related inherited peripheral neuropathies (CMT&RIPNs) brings great suffering and heavy burden to patients, but its global prevalence rates have not been well described. METHODS: We searched major English and Chinese databases for studies reporting the prevalence of CMT&RIPNs from the establishment of the databases to September 26, 2022. Based on the age, gender, study design, study region, and disease subtype, the included studies were correspondingly synthesized for meta-analyses on the overall prevalence and/or the subgroup analyses by using pool arcsine transformed proportions in the random-effects model. RESULTS: Of the finally included 31 studies, 21 studied the whole age population and various types of CMT&RIPNs, and the others reported specific disease subtype(s) or adult or non-adult populations. The pooled prevalence was 17.69/100,000 (95% CI 12.32-24.33) for the whole age population and significantly higher for CMT1 [10.61/100,000 (95% CI 7.06-14.64)] than for other subtypes (P' < 0.001). Without statistical significance, the prevalence seemed higher in those aged ≥ 16 or 18 years (21.02/100,000) than in those aged < 16 years (16.13/100,000), in males (22.50/100,000) than in females (17.95/100,000), and in Northern Europe (30.97/100,000) than in other regions. CONCLUSION: CMT&RIPNs are relatively more prevalent as CMT1 in the disease subtypes, and probably prevalent in older ages, males, and Northern Europe. More studies on the epidemiological characteristics of CMT&RIPNs with well-defined diagnosis criteria are needed to improve the prevalence evaluation and to arouse more attention to health care support.
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Doença de Charcot-Marie-Tooth , Masculino , Feminino , Humanos , Doença de Charcot-Marie-Tooth/epidemiologia , Doença de Charcot-Marie-Tooth/genética , Prevalência , Europa (Continente) , Gerenciamento de DadosRESUMO
BACKGROUND: It has been recently demonstrated that serum uric acid (UA) is associated with metabolic syndrome (MetS) or its related clinical indications based on cross-sectional or prospective cohort studies. Nonetheless, due to the fact that UA level constantly fluctuates from time to time even for the person, using a single measure of UA level at baseline of those studies may not be sufficient for estimating the UA-Mets association. METHODS: To further estimate this time-dependent association, we fitted a generalized estimating equation (GEE) regression model with data from a large-scale 6-year longitudinal study, which included 2222 participants aged > =25 years with an average of 3.5 repeated measures of UA per person in the Health Management Center of Shandong Provincial Hospital, Shandong, China. RESULTS: After adjusting for other potential confounding factors (i.e., total cholesterol, low-density lipoprotein), it was verified that time-dependent UA level was an independent risk factor for MetS (OR = 1.6920, p < 0.0001). It was found that UA level was positively associated with obesity, hypertension, and dyslipidemia, but was inversely associated with hyperglycemia. CONCLUSIONS: Serum UA level may serve as an important risk factor of MetS. Additionally, our study suggested that UA level be an independent risk factor to obesity, hypertension and dyslipidemia, but a protective factor to hyperglycemia. These findings are concordant with results from other studies on Asian populations, and jointly provide a basis to further develop a risk assessment model for predicting MetS using UA levels and other factors in China.
Assuntos
Povo Asiático/estatística & dados numéricos , Síndrome Metabólica/etnologia , População Urbana/estatística & dados numéricos , Ácido Úrico/sangue , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores/sangue , China/etnologia , Humanos , Estudos Longitudinais , Masculino , Síndrome Metabólica/sangue , Pessoa de Meia-Idade , Fatores de RiscoRESUMO
Hyperuricemia (HUA) is associated with dietary and genetic factors. However, studies on dietary patterns and their interaction effect with genes on the risk of HUA are limited. We aimed to explore the association between dietary patterns and HUA, and dietary patterns-gene interactions on the risk of HUA. A population-based cross-sectional study was conducted in adults aged 18 and older in Liangshan Yi Autonomous Prefecture of China. Dietary consumption was collected using a standard Food Frequency Questionnaire. Vein blood samples were collected after overnight fasting, and DNA was extracted from peripheral blood leukocytes. Dietary patterns were derived using principal component and factor analysis. Of the 2646 participants, the prevalence of HUA was 26.8%. Three dietary patterns were classified. Of them, a dietary pattern with higher meat consumption (defined as meat-based) had the strongest association with HUA than a dietary pattern with plant-based or local special diet-based. A higher frequency of T allele at ABCG2 rs2231142 and SLC2A9 rs11722228 loci was observed in participants with HUA than those without HUA. An additive interaction of meat-based dietary pattern with rs2231142 locus was significantly associated with an increased risk of HUA. The relative excess risks of interaction, attributable proportion of interaction, and synergy index (S) were 0.482 (95% CI: 0.012-0.976), 0.203 (95% CI: 0.033-0.374), and 1.544 (95% CI: 1.012-2.355), respectively. In conclusion, a dietary pattern with meat-based was significantly associated with an increased risk of HUA. There was an additive interaction between a meat-based dietary pattern and the ABCG2 rs2231142 locus. Individuals with rs2231142 T allele were at higher risk of HUA than those with rs2231142 GG allele.
Assuntos
Membro 2 da Subfamília G de Transportadores de Cassetes de Ligação de ATP/genética , Hiperuricemia , Proteínas de Neoplasias/genética , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Feminino , Predisposição Genética para Doença , Humanos , Hiperuricemia/genética , Hiperuricemia/metabolismo , Masculino , Pessoa de Meia-Idade , Polimorfismo de Nucleotídeo Único , Fatores de Risco , Adulto JovemRESUMO
Spatial epidemiology is the description and analysis of geographic patterns and variations in disease risk factors, morbidity and mortality with respect to their distributions associated with demographic, socioeconomic, environmental, health behavior, and genetic risk factors, and time-varying changes. In the Letter to Editor, we had a brief description of the practice for the mortality and the space-time patterns of John Snow's map of cholera epidemic in London, United Kingdom in 1854. This map is one of the earliest public heath practices of developing and applying spatial epidemiology. In the early history, spatial epidemiology was predominantly applied in infectious disease and risk factor studies. However, since the recent decades, noncommunicable diseases have become the leading cause of death in both developing and developed countries, spatial epidemiology has been used in the study of noncommunicable disease. In the Letter, we addressed two examples that applied spatial epidemiology to cluster and identify stroke belt and diabetes belt across the states and counties in the United States. Similar to any other epidemiological study design and analysis approaches, spatial epidemiology has its limitations. We should keep in mind when applying spatial epidemiology in research and in public health practice.
RESUMO
Selenoprotein P (SELENOP) is an extracellular antioxidant, selenium transporter, and hepatokine interfering with glucose and lipid metabolism. To study the association between the circulating SELENOP concentration and glucose and lipid metabolic diseases (GLMDs), including gestational diabetes (GD), metabolic syndrome (MetS), non-alcoholic fatty liver disease, obesity, and type 2 diabetes, as well as the individual markers, a meta-analysis was conducted by searching multiple databases from their establishment through March 2022 and including 27 articles published between October 2010 and May 2021, involving 4033 participants. Participants with GLMDs had higher levels of SELENOP than those without GLMDs (standardized mean difference = 0.84, 95% CI: 0.16 to 1.51), and the SELENOP levels were positively correlated with the markers of GLMDs (pooled effect size = 0.09, 95% CI: 0.02 to 0.15). Subgroup analyses showed that the SELENOP concentrations were higher in women with GD and lower in individuals with MetS than their counterparts, respectively. Moreover, SELENOP was positively correlated with low-density lipoprotein cholesterol, but not with the other markers of GLMDs. Thus, the heterogenicity derived from diseases or disease markers should be carefully considered while interpreting the overall positive association between SELENOP and GLMDs. Studies with a larger sample size and advanced design are warranted to confirm these findings.