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Sökning: WFRF:(Chen Lin) > Örebro universitet

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1.
  • Jansen, Willemijn J, et al. (författare)
  • Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum.
  • 2022
  • Ingår i: JAMA neurology. - : American Medical Association (AMA). - 2168-6157 .- 2168-6149. ; 79:3, s. 228-243
  • Tidskriftsartikel (refereegranskat)abstract
    • One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers in cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of amyloid pathology are important for health care planning and clinical trial design.To estimate the prevalence of amyloid abnormality in persons with normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia and to examine the potential implications of cutoff methods, biomarker modality (CSF or PET), age, sex, APOE genotype, educational level, geographical region, and dementia severity for these estimates.This cross-sectional, individual-participant pooled study included participants from 85 Amyloid Biomarker Study cohorts. Data collection was performed from January 1, 2013, to December 31, 2020. Participants had normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia. Normal cognition and subjective cognitive decline were defined by normal scores on cognitive tests, with the presence of cognitive complaints defining subjective cognitive decline. Mild cognitive impairment and clinical AD dementia were diagnosed according to published criteria.Alzheimer disease biomarkers detected on PET or in CSF.Amyloid measurements were dichotomized as normal or abnormal using cohort-provided cutoffs for CSF or PET or by visual reading for PET. Adjusted data-driven cutoffs for abnormal amyloid were calculated using gaussian mixture modeling. Prevalence of amyloid abnormality was estimated according to age, sex, cognitive status, biomarker modality, APOE carrier status, educational level, geographical location, and dementia severity using generalized estimating equations.Among the 19097 participants (mean [SD] age, 69.1 [9.8] years; 10148 women [53.1%]) included, 10139 (53.1%) underwent an amyloid PET scan and 8958 (46.9%) had an amyloid CSF measurement. Using cohort-provided cutoffs, amyloid abnormality prevalences were similar to 2015 estimates for individuals without dementia and were similar across PET- and CSF-based estimates (24%; 95% CI, 21%-28%) in participants with normal cognition, 27% (95% CI, 21%-33%) in participants with subjective cognitive decline, and 51% (95% CI, 46%-56%) in participants with mild cognitive impairment, whereas for clinical AD dementia the estimates were higher for PET than CSF (87% vs 79%; mean difference, 8%; 95% CI, 0%-16%; P=.04). Gaussian mixture modeling-based cutoffs for amyloid measures on PET scans were similar to cohort-provided cutoffs and were not adjusted. Adjusted CSF cutoffs resulted in a 10% higher amyloid abnormality prevalence than PET-based estimates in persons with normal cognition (mean difference, 9%; 95% CI, 3%-15%; P=.004), subjective cognitive decline (9%; 95% CI, 3%-15%; P=.005), and mild cognitive impairment (10%; 95% CI, 3%-17%; P=.004), whereas the estimates were comparable in persons with clinical AD dementia (mean difference, 4%; 95% CI, -2% to 9%; P=.18).This study found that CSF-based estimates using adjusted data-driven cutoffs were up to 10% higher than PET-based estimates in people without dementia, whereas the results were similar among people with dementia. This finding suggests that preclinical and prodromal AD may be more prevalent than previously estimated, which has important implications for clinical trial recruitment strategies and health care planning policies.
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2.
  • Dobrosavljevic, Maja, 1986-, et al. (författare)
  • Risk prediction model for cardiovascular diseases in adults initiating pharmacological treatment for attention-deficit/hyperactivity disorder
  • 2022
  • Ingår i: Evidence-Based Mental Health. - : BMJ Publishing Group Ltd. - 1362-0347 .- 1468-960X. ; 25, s. 185-190
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Available prediction models ofcardiovascular diseases (CVDs) may not accuratelypredict outcomes among individuals initiatingpharmacological treatment for attention-deficit/hyperactivity disorder (ADHD).Objective: To improve the predictive accuracyof traditional CVD risk factors for adults initiatingpharmacological treatment of ADHD, by consideringnovel CVD risk factors associated with ADHD (comorbidpsychiatric disorders, sociodemographic factors andpsychotropic medication).Methods: The cohort composed of 24 186 adultsresiding in Sweden without previous CVDs, born between1932 and 1990, who started pharmacological treatmentof ADHD between 2008 and 2011, and were followedfor up to 2 years. CVDs were identified using diagnosesaccording to the International Classification of Diseases,and dispended medication prescriptions from Swedishnational registers. Cox proportional hazards regressionwas employed to derive the prediction model.Findings: The developed model included eighttraditional and four novel CVD risk factors. Themodel showed acceptable overall discrimination (Cindex=0.72, 95% CI 0.70 to 0.74) and calibration(Brier score=0.008). The Integrated DiscriminationImprovement index showed a significant improvementafter adding novel risk factors (0.003 (95% CI 0.001 to0.007), p<0.001).Conclusions: The inclusion of the novel CVD riskfactors may provide a better prediction of CVDs in thispopulation compared with traditional CVD predictorsonly, when the model is used with a continuous riskscore. External validation studies and studies assessingclinical impact of the model are warranted.Clinical implications: Individuals initiatingpharmacological treatment of ADHD at higher risk ofdeveloping CVDs should be more closely monitored.
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3.
  • Han, Hedong, et al. (författare)
  • Prevalence, trends, and outcomes of atrial fibrillation in hospitalized patients with metastatic cancer : findings from a national sample
  • 2021
  • Ingår i: Cancer Medicine. - : John Wiley & Sons. - 2045-7634. ; 10:16, s. 5661-5670
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Epidemiological evidence regarding the link between cancer and atrial fibrillation (AF) are limited and outcomes of metastatic cancer comorbid with AF need to be elucidated.Objective: This study aims to evaluate the prevalence, temporal trends, and outcomes of AF in hospitalized metastatic cancer patients.Methods: The National Inpatient Sample (NIS) database was used to identify adult patients with metastatic tumors from 2003 to 2014. We analyzed the trends in AF prevalence, in-hospital mortality, total cost, length of stay (LOS), and comorbidities pertaining to metastatic cancer. Multivariable-adjusted models were used to evaluate the association of AF with clinical factors, in-hospital mortality, total cost, and LOS.Results: Among 2,478,598 patients with metastatic cancer, 8.74% (216,737) were diagnosed with AF. The proportion of comorbid AF increased from 8.28% in 2003 to 10.06% in 2014 (p < 0.0001). Older age, white race, male, Medicare, higher income, larger hospital bed size, and urban teaching hospital were associated with higher AF occurrence. Among primary tumor sites, lung cancer experienced the highest odds of AF compared to other cancers. Patients with metastasis to lymph node and respiratory organ had higher odds of AF. In metastatic cancer, AF was associated with higher in-hospital mortality (odds ratio: 1.48; 95% confidence interval: 1.43-1.54), 18% longer LOS, and 19% higher cost.Conclusions: AF prevalence in metastatic cancer continues to increase from 2003 to 2014. AF is linked to poorer prognosis and higher healthcare resource utilization. As the population ages, optimal preventive and treatment management strategies are needed for metastatic cancer comorbid with AF.
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5.
  • Kase, Bezawit E., et al. (författare)
  • Longitudinal Associations Between Symptoms of ADHD and BMI From Late Childhood to Early Adulthood
  • 2021
  • Ingår i: Pediatrics. - : American Academy of Pediatrics. - 0031-4005 .- 1098-4275. ; 147:6
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND AND OBJECTIVES: Attention-deficit/hyperactivity disorder (ADHD) and obesity are 2 frequent conditions that co-occur, which has implications for the management of both conditions. We hypothesized that ADHD symptoms predict BMI and vice versa from late childhood (10-12 years) up to early adulthood (20-22 years).METHODS: Participants were adolescents in the Netherlands (n = 2773, 52.5% male, mean age = 11 years at baseline, 5 waves up to mean age 22) from the Tracking Adolescents' Individual Lives Survey cohort. We examined bidirectional relationship between ADHD symptoms (hyperactivity/impulsivity and inattention) and BMI using the random intercept cross-lagged panel model. Time-varying covariates were pubertal status, stimulant use, depressive symptoms, and family functioning, and socioeconomic status was a time-invariant covariate.RESULTS: We found a time-invariant association of BMI with hyperactivity and impulsivity, but not with inattention, which was slightly stronger in female adolescents (female: r = 0.102; male: r = 0.086, P < .05). No longitudinal direct effects were found between ADHD symptoms and BMI during this period.CONCLUSIONS: Over the course of adolescence, the link between ADHD and BMI is stable and is predominantly with hyperactive and impulsive symptoms rather than inattention. There was no direct effect of ADHD symptoms on BMI increase nor of BMI on enhanced ADHD symptoms during this developmental period. The findings point to a shared genetic or familial background and/or potential causal effects established already earlier in childhood, thus suggesting that intervention and prevention programs targeting overweight and obesity in children with ADHD should be implemented in early childhood.
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6.
  • Li, Lin, 1989-, et al. (författare)
  • Attention-deficit/hyperactivity disorder symptoms and dietary habits in adulthood : A large population-based twin study in Sweden
  • 2020
  • Ingår i: American Journal of Medical Genetics Part B. - : John Wiley & Sons. - 1552-4841 .- 1552-485X. ; 183:8, s. 475-485
  • Tidskriftsartikel (refereegranskat)abstract
    • Associations between adult attention-deficit/hyperactivity disorder (ADHD) symptoms and dietary habits have not been well established and the underlying mechanisms remain unclear. We explored these associations using a Swedish population-based twin study with 17,999 individuals aged 20-47 years. We estimated correlations between inattention and hyperactivity/impulsivity with dietary habits and fitted twin models to determine the genetic and environmental contributions. Dietary habits were defined as (a) consumption of food groups, (b) consumption of food items rich in particular macronutrients, and (c) healthy and unhealthy dietary patterns. At the phenotypic level, inattention was positively correlated with seafood, high-fat, high-sugar, high-protein food consumptions, and unhealthy dietary pattern, with correlation coefficients ranging from 0.03 (95%CI: 0.01, 0.05) to 0.13 (95% CI: 0.11, 0.15). Inattention was negatively correlated with fruits, vegetables consumptions and healthy dietary pattern, with correlation coefficients ranging from -0.06 (95%CI: -0.08, -0.04) to -0.07 (95%CI: -0.09, -0.05). Hyperactivity/impulsivity and dietary habits showed similar but weaker patterns compared to inattention. All associations remained stable across age, sex and socioeconomic status. Nonshared environmental effects contributed substantially to the correlations of inattention (56-60%) and hyperactivity/impulsivity (63-80%) with dietary habits. The highest and lowest genetic correlations were between inattention and high-sugar food (rA = .16, 95% CI: 0.07, 0.25), and between hyperactivity/impulsivity and unhealthy dietary pattern (rA = .05, 95% CI: -0.05, 0.14), respectively. We found phenotypic and etiological overlap between ADHD and dietary habits, although these associations were weak. Our findings contribute to a better understanding of common etiological pathways between ADHD symptoms and various dietary habits.
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7.
  • Li, Lin, 1989-, et al. (författare)
  • Genetic and environmental contributions to the association between ADHD symptoms and unhealthy dietary habits in adulthood : a large population-based twin study
  • 2019
  • Ingår i: Behavior Genetics. - : Springer. - 0001-8244 .- 1573-3297. ; 49:6, s. 511-512
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • ADHD may be associated with unhealthy dietary habits in children and adolescents. The link between diets and adult ADHD symptoms are not well established and the underlying genetic and environmental mechanisms remain unclear. Therefore, we firstly estimated associations between ADHD symptoms (inattention, hyperactivity or both) and three unhealthy dietary groups (unhealthy food, high-sugar food, and high-fat food), and also stratified based on age, sex, and socioeconomic status (SES). This was done using self-report data from a Swedish population-based twin study on ADHD symptoms and food frequency questionnaire in 17,999 twins, aged 20 to 47 years. Secondly, univariate and bivariate twin model-fitting anal-yses were conducted to determine the relative contribution of genetic and environmental factors to the observed associations. We have found that at the phenotypical level, ADHD total score were positively associated with unhealthy food (r = 0.11, 95% CI 0.09, 0.13), high-sugar food (r = 0.10, 95% CI 0.08, 0.12), and high-fat food (r = 0.11, 95% CI 0.09, 0.13). Similar association patterns were also found when analyzing separately the inattention and hyperactivity symptoms of the ADHD total score. All these associations remained stable across age, sex, and SES. Genetic and non-shared environmental effects accounted for similar proportions of the phenotypical correlations. The highest bivariate heritability was between ADHD total score and high-sugar food (h2 = 40%, 95% CI 7, 70). This study is the first to provide evidence for a genetic overlap between ADHD symptoms and unhealthy dietary habits. The remaining non-shared environmental effects also suggest an opportunity for treatments and interventions targets that focus on modifiable non-genetic risk factors.
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8.
  • Li, Lin, 1989-, et al. (författare)
  • Maternal pre-pregnancy overweight/obesity and the risk of attention-deficit/hyperactivity disorder in offspring : a systematic review, meta-analysis and quasi-experimental family-based study
  • 2020
  • Ingår i: International Journal of Epidemiology. - : Oxford University Press. - 0300-5771 .- 1464-3685. ; 49:3, s. 857-875
  • Forskningsöversikt (refereegranskat)abstract
    • BACKGROUND: Previous studies are inconclusive concerning the association between maternal pre-pregnancy overweight/obesity and risk of attention-deficit/hyperactivity disorder (ADHD) in offspring. We therefore conducted a systematic review and meta-analysis to clarify this association. To address the variation in confounding adjustment between studies, especially inadequate adjustment of unmeasured familial confounding in most studies, we further performed cousin and sibling comparisons in a nationwide population-based cohort in Sweden.METHODS: We searched PubMed, Embase and PsycINFO during 1975-2018. We used random-effects models to calculate pooled risk ratios (RRs) with 95% confidence interval. In the population-based study, Cox proportional hazard models were used to calculate the unadjusted hazard ratios (HRs) and HRs adjusted for all confounders identified in previous studies. Stratified Cox models were applied to data on full cousins and full siblings to further control for unmeasured familial confounding.RESULTS: Eight cohorts with a total of 784 804 mother-child pairs were included in the meta-analysis. Maternal overweight [RRoverweight = 1.31 (1.25-1.38), I2 = 6.80%] and obesity [RRobesity = 1.92 (1.84-2.00), I2 = 0.00%] were both associated with an increased risk of ADHD in offspring. In the population-based cohort of 971 501 individuals born between 1992 and 2004, unadjusted Cox models revealed similar associations [HRoverweight = 1.30 (1.28-1.34), HRobesity = 1.92 (1.87-1.98)]. These associations gradually attenuated towards the null when adjusted for measured confounders [HRoverweight = 1.21 (1.19-1.25), HRobesity = 1.60 (1.55-1.65)], unmeasured factors shared by cousins [HRoverweight = 1.10 (0.98-1.23), HRobesity = 1.44 (1.22-1.70)] and unmeasured factors shared by siblings [HRoverweight = 1.01 (0.92-1.11), HRobesity = 1.10 (0.94-1.27)].CONCLUSION: Pre-pregnancy overweight/obesity is associated with an increased risk of ADHD in offspring. The observed association is largely due to unmeasured familial confounding.
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9.
  • Li, Lin, 1989- (författare)
  • Somatic and occupational outcomes in adult ADHD : epidemiology studies based on real-world data
  • 2022
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders, characterized by inattention or hyperactivity–impulsivity, or both. ADHD is a multifactorial disorder influenced by the complex interplay between genetic and environmental risk factors, but a detailed understanding of the causal status of these factors is lacking. ADHD is associated with many psychiatric disorders, but somatic comorbidity in ADHD has received less attention in the research literature. Pharmacological treatment is effective in reducing the core symptoms of ADHD, but the effects on occupational outcomes remain unclear. The overarching aim of this thesis is to extend previous knowledge on the early risk factors of ADHD, and to increase the awareness and the understanding on somatic and occupational outcomes of ADHD in adults.In Study I, we combined a systematic review and mate-analysis with a population based cohort of 971,501 individuals born between 1992 and 2004 in Sweden. The meta-analysis revealed a positive association between maternal pre-pregnancy overweight/obesity and risk of ADHD in offspring. However, these associations gradually attenuated toward the null when adjusted for measured confounders,unmeasured factors shared by cousins and unmeasured factors shared by siblings. In Study II, by using a Swedish population-based twin study with 17,999 individuals aged 20–47 years, we found both inattention and hyperactivity/impulsivity was associated with higher consumption of high-sugar food and unhealthy dietary habits, although these associations were generally weak. Further, the observed associations was explained by both genetic and non-shared environmental factors.In Study III, we explored the prospective associations between ADHD and a broad range of cardiovascular diseases in 5,389,519 adults from Sweden, and found that ADHD may be a novel and independent risk factor for cardiovascular diseases. In Study IV, based on the longitudinal cohort of 12,875 middle-aged adults with ADHD, we found the use of ADHD medications during the previous two years was associated with a 10% reduction in the risk of long-term unemployment in the following year.Taken together, findings from the thesis highlight the need of future studies with various study designs, to fully understand the aetiology and long-term health outcomes of ADHD across the lifespan.
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10.
  • Liao, Qianfang, 1983-, et al. (författare)
  • Control structure selection based on Type-1 and Type-2 T-S fuzzy models for MIMO processes
  • 2015
  • Ingår i: 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA). - : IEEE. - 9781479983896 ; , s. 1602-1607
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents a control structure selection guideline based on Type-1 and Type-2 T-S fuzzy models for multi-input-multi-output (MIMO) processes. By virtue of relative normalized gain array (RNGA), the interactions between process inputs and outputs are analyzed to determine a decentralized control configuration as well as a richer control structure for an MIMO process controller design. Simple calculating procedures based on both Type-1 and Type-2 T-S fuzzy models are provided. An MIMO process is utilized as an example to demonstrate effectiveness and robustness of the proposed method.
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