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Causal inference

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https://www.readbyqxmd.com/read/29338538/increased-nature-relatedness-and-decreased-authoritarian-political-views-after-psilocybin-for-treatment-resistant-depression
#1
Taylor Lyons, Robin L Carhart-Harris
RATIONALE: Previous research suggests that classical psychedelic compounds can induce lasting changes in personality traits, attitudes and beliefs in both healthy subjects and patient populations. AIM: Here we sought to investigate the effects of psilocybin on nature relatedness and libertarian-authoritarian political perspective in patients with treatment-resistant depression (TRD). METHODS: This open-label pilot study with a mixed-model design studied the effects of psilocybin on measures of nature relatedness and libertarian-authoritarian political perspective in patients with moderate to severe TRD ( n=7) versus age-matched non-treated healthy control subjects ( n=7)...
January 1, 2018: Journal of Psychopharmacology
https://www.readbyqxmd.com/read/29337679/the-effects-of-physical-activity-on-chronic-subclinical-systemic-inflammation
#2
Alba Maria Dalbello Tir, Marina Labor, Davor Plavec
Chronic subclinical systemic inflammation (CSSI) is a pathogenic event and a common risk factor for many noncommunicable diseases like atherosclerosis, metabolic syndrome, cardiovascular disease, insulin resistance and type 2 diabetes, cancer, and obstructive lung disease. On the other hand, regular physical activity has been found to reduce this risk. Many studies of different design were conducted to assess the association between inflammatory mediators as markers of CSSI and regular physical activity. The aim of this review was to present the current level of evidence and understanding of potential mechanisms by which physical activity reduces inflammatory mediators involved in CSSI and the types of physical activity required for the expected effect...
December 20, 2017: Arhiv za Higijenu Rada i Toksikologiju
https://www.readbyqxmd.com/read/29335400/causal-associations-between-risk-factors-and-common-diseases-inferred-from-gwas-summary-data
#3
Zhihong Zhu, Zhili Zheng, Futao Zhang, Yang Wu, Maciej Trzaskowski, Robert Maier, Matthew R Robinson, John J McGrath, Peter M Visscher, Naomi R Wray, Jian Yang
Health risk factors such as body mass index (BMI) and serum cholesterol are associated with many common diseases. It often remains unclear whether the risk factors are cause or consequence of disease, or whether the associations are the result of confounding. We develop and apply a method (called GSMR) that performs a multi-SNP Mendelian randomization analysis using summary-level data from genome-wide association studies to test the causal associations of BMI, waist-to-hip ratio, serum cholesterols, blood pressures, height, and years of schooling (EduYears) with common diseases (sample sizes of up to 405,072)...
January 15, 2018: Nature Communications
https://www.readbyqxmd.com/read/29334416/investigating-causal-associations-between-use-of-nicotine-alcohol-caffeine-and-cannabis-a-two-sample-bidirectional-mendelian-randomization-study
#4
Karin J H Verweij, Jorien L Treur, Jacqueline M Vink
BACKGROUND AND AIMS: Epidemiological studies consistently show co-occurrence of use of different addictive substances. Whether these associations are causal or due to overlapping underlying influences remains an important question in addiction research. Methodological advances have made it possible to use published genetic associations to infer causal relationships between phenotypes. In this exploratory study, we used Mendelian randomization (MR) to examine the causality of well-established associations between nicotine, alcohol, caffeine, and cannabis use...
January 15, 2018: Addiction
https://www.readbyqxmd.com/read/29334170/representing-causal-knowledge-in-environmental-policy-interventions-advantages-and-opportunities-for-qualitative-influence-diagram-applications
#5
John F Carriger, Brian E Dyson, William H Benson
This article develops and explores a methodology for using qualitative influence diagrams in environmental policy and management to support decision making efforts that minimize risk and increase resiliency. Influence diagrams are representations of the conditional aspects of a problem domain. Their graphical properties are useful for structuring causal knowledge relevant to policy interventions and can be used to enhance inference and inclusivity of multiple viewpoints. Qualitative components of influence diagrams are beneficial tools for identifying and examining the interactions among the critical variables in complex policy development and implementation...
January 15, 2018: Integrated Environmental Assessment and Management
https://www.readbyqxmd.com/read/29334168/representing-causal-knowledge-in-environmental-policy-interventions-advantages-and-opportunities-for-qualitative-influence-diagram-applications
#6
John F Carriger, Brian E Dyson, William H Benson
This article develops and explores a methodology for using qualitative influence diagrams in environmental policy and management to support decision making efforts that minimize risk and increase resiliency. Influence diagrams are representations of the conditional aspects of a problem domain. Their graphical properties are useful for structuring causal knowledge relevant to policy interventions and can be used to enhance inference and inclusivity of multiple viewpoints. Qualitative components of influence diagrams are beneficial tools for identifying and examining the interactions among the critical variables in complex policy development and implementation...
January 15, 2018: Integrated Environmental Assessment and Management
https://www.readbyqxmd.com/read/29329344/maintenance-of-muscle-strength-retains-a-normal-metabolic-cost-in-simulated-walking-after-transtibial-limb-loss
#7
Elizabeth Russell Esposito, Ross H Miller
Recent studies on relatively young and fit individuals with limb loss suggest that maintaining muscle strength after limb loss may mitigate the high metabolic cost of walking typically seen in the larger general limb loss population. However, these data are cross-sectional and the muscle strength prior to limb loss is unknown, and it is therefore difficult to draw causal inferences on changes in strength and gait energetics. Here we used musculoskeletal modeling and optimal control simulations to perform a longitudinal study (25 virtual "subjects") of the metabolic cost of walking pre- and post-limb loss (unilateral transtibial)...
2018: PloS One
https://www.readbyqxmd.com/read/29328949/conditionals-and-inferential-connections-a-hypothetical-inferential-theory
#8
Igor Douven, Shira Elqayam, Henrik Singmann, Janneke van Wijnbergen-Huitink
Intuition suggests that for a conditional to be evaluated as true, there must be some kind of connection between its component clauses. In this paper, we formulate and test a new psychological theory to account for this intuition. We combined previous semantic and psychological theorizing to propose that the key to the intuition is a relevance-driven, satisficing-bounded inferential connection between antecedent and consequent. To test our theory, we created a novel experimental paradigm in which participants were presented with a soritical series of objects, notably colored patches (Experiments 1 and 4) and spheres (Experiment 2), or both (Experiment 3), and were asked to evaluate related conditionals embodying non-causal inferential connections (such as "If patch number 5 is blue, then so is patch number 4")...
January 9, 2018: Cognitive Psychology
https://www.readbyqxmd.com/read/29328877/designing-difference-in-difference-studies-best-practices-for-public-health-policy-research
#9
Coady Wing, Kosali Simon, Ricardo A Bello-Gomez
The difference in difference (DID) design is a quasi-experimental research design that researchers often use to study causal relationships in public health settings where randomized controlled trials (RCTs) are infeasible or unethical. However, causal inference poses many challenges in DID designs. In this article, we review key features of DID designs with an emphasis on public health policy research. Contemporary researchers should take an active approach to the design of DID studies, seeking to construct comparison groups, sensitivity analyses, and robustness checks that help validate the method's assumptions...
January 12, 2018: Annual Review of Public Health
https://www.readbyqxmd.com/read/29324886/changes-in-network-connectivity-during-motor-imagery-and-execution
#10
Yun Kwan Kim, Eunhee Park, Ahee Lee, Chang-Hwan Im, Yun-Hee Kim
BACKGROUND: Recent studies of functional or effective connectivity in the brain have reported that motor-related brain regions were activated during motor execution and motor imagery, but the relationship between motor and cognitive areas has not yet been completely understood. The objectives of our study were to analyze the effective connectivity between motor and cognitive networks in order to define network dynamics during motor execution and motor imagery in healthy individuals. Second, we analyzed the differences in effective connectivity between correct and incorrect responses during motor execution and imagery using dynamic causal modeling (DCM) of electroencephalography (EEG) data...
2018: PloS One
https://www.readbyqxmd.com/read/29322536/two-step-estimation-in-ratio-of-mediator-probability-weighted-causal-mediation-analysis
#11
Edward Bein, Jonah Deutsch, Guanglei Hong, Kristin E Porter, Xu Qin, Cheng Yang
This study investigates appropriate estimation of estimator variability in the context of causal mediation analysis that employs propensity score-based weighting. Such an analysis decomposes the total effect of a treatment on the outcome into an indirect effect transmitted through a focal mediator and a direct effect bypassing the mediator. Ratio-of-mediator-probability weighting estimates these causal effects by adjusting for the confounding impact of a large number of pretreatment covariates through propensity score-based weighting...
January 10, 2018: Statistics in Medicine
https://www.readbyqxmd.com/read/29321518/mediation-analysis-of-alcohol-consumption-dna-methylation-and-epithelial-ovarian-cancer
#12
Dongyan Wu, Haitao Yang, Stacey J Winham, Yanina Natanzon, Devin C Koestler, Tiane Luo, Brooke L Fridley, Ellen L Goode, Yanbo Zhang, Yuehua Cui
Epigenetic factors and consumption of alcohol, which suppresses DNA methylation, may influence the development and progression of epithelial ovarian cancer (EOC). However, there is a lack of understanding whether these factors interact to affect the EOC risk. In this study, we aimed to gain insight into this relationship by identifying leukocyte-derived DNA methylation markers acting as potential mediators of alcohol-associated EOC. We implemented a causal inference test (CIT) and the VanderWeele and Vansteelandt multiple mediator model to examine CpG sites that mediate the association between alcohol consumption and EOC risk...
January 10, 2018: Journal of Human Genetics
https://www.readbyqxmd.com/read/29321046/application-of-causal-inference-methods-in-the-analyses-of-randomised-controlled-trials-a-systematic-review
#13
REVIEW
Ruth E Farmer, Daphne Kounali, A Sarah Walker, Jelena Savović, Alison Richards, Margaret T May, Deborah Ford
BACKGROUND: Applications of causal inference methods to randomised controlled trial (RCT) data have usually focused on adjusting for compliance with the randomised intervention rather than on using RCT data to address other, non-randomised questions. In this paper we review use of causal inference methods to assess the impact of aspects of patient management other than the randomised intervention in RCTs. METHODS: We identified papers that used causal inference methodology in RCT data from Medline, Premedline, Embase, Cochrane Library, and Web of Science from 1986 to September 2014, using a forward citation search of five seminal papers, and a keyword search...
January 10, 2018: Trials
https://www.readbyqxmd.com/read/29319627/opioid-prescription-morbidity-and-mortality-in-us-transplant-recipients
#14
Kevin C Abbott, Chyng-Wen Fwu, Paul W Eggers, Anne W Eggers, Prudence P Kline, Paul L Kimmel
BACKGROUND: CDC guidelines recommend caution in prescribing opioids for chronic pain. The characteristics of opioid prescription (OpRx) among kidney transplant (KTx) recipients has not been described in a national population. METHODS: We assessed OpRx prevalence among prevalent KTx recipients, and associated duration (chronic, defined as ≥90 days in a year) and dosing (in morphine milligram equivalents per day, MME, of <50, 50-89, and ≥90) with outcomes, death and graft loss, among incident KTx recipients using 2006-2010 US Renal Data System files, including Medicare Part D for medication ascertainment...
January 10, 2018: Transplantation
https://www.readbyqxmd.com/read/29307294/mendelian-randomization-in-multiple-sclerosis-a-causal-role-for-vitamin-d-and-obesity
#15
Adil Harroud, J Brent Richards
The etiology of multiple sclerosis (MS) involves a complex interplay of genetic and environmental factors. Epidemiologic studies have furthered our understanding of these risk factors but remain limited by residual confounding and potential for reverse causation, particularly in MS where time of disease onset is not known. Mendelian randomization (MR) uses genetic variants to study the causal effect of modifiable exposures on an outcome. This method avoids some of the limitations of classical epidemiology and can strengthen causal inference...
January 2018: Multiple Sclerosis: Clinical and Laboratory Research
https://www.readbyqxmd.com/read/29306695/intimate-partner-violence-and-mental-disorders-co-occurrence-and-gender-differences-in-a-large-cross-sectional-population-based-study-in-spain
#16
Isabel Ruiz-Pérez, Miguel Rodríguez-Barranco, Jorge A Cervilla, Ignacio Ricci-Cabello
BACKGROUND: Intimate partner violence (IPV) and mental disorders (MD) are important public health problems disproportionally affecting women. We aimed to study the epidemiology of IPV victimization, MD, and co-occurring IPV-MD in Spanish men and women in terms of i) prevalence, ii) association between IPV and MD, and iii) sociodemographic and clinical characteristics associated with IPV, MD, and co-occurring IPV-MD. METHODS: Community-based cross-sectional study with 4507 randomly selected participants...
December 27, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/29304085/a-new-test-of-multivariate-nonlinear-causality
#17
Zhidong Bai, Yongchang Hui, Dandan Jiang, Zhihui Lv, Wing-Keung Wong, Shurong Zheng
The multivariate nonlinear Granger causality developed by Bai et al. (2010) (Mathematics and Computers in simulation. 2010; 81: 5-17) plays an important role in detecting the dynamic interrelationships between two groups of variables. Following the idea of Hiemstra-Jones (HJ) test proposed by Hiemstra and Jones (1994) (Journal of Finance. 1994; 49(5): 1639-1664), they attempt to establish a central limit theorem (CLT) of their test statistic by applying the asymptotical property of multivariate U-statistic...
2018: PloS One
https://www.readbyqxmd.com/read/29304014/environmental-risk-factors-for-developing-type-2-diabetes-mellitus-a-systematic-review
#18
REVIEW
Tashi Dendup, Xiaoqi Feng, Stephanie Clingan, Thomas Astell-Burt
Different elements of the environment have been posited to influence type 2 diabetes mellitus (T2DM). This systematic review summarizes evidence on the environmental determinants of T2DM identified in four databases. It proposes a theoretical framework illustrating the link between environment and T2DM, and briefly discusses some methodological challenges and potential solutions, and opportunities for future research. Walkability, air pollution, food and physical activity environment and roadways proximity were the most common environmental characteristics studied...
January 5, 2018: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29303707/the-influence-of-disease-modifying-anti-rheumatic-drugs-and-corticosteroids-on-the-association-between-rheumatoid-arthritis-and-skin-cancer-a-nationwide-retrospective-case-control-study-in-taiwan
#19
Hui-Wen Tseng, Ling-Ying Lu, Hing-Chung Lam, Kuo-Wang Tsai, Wei-Chun Huang, Yow-Ling Shiue
OBJECTIVES: To investigate the influence of corticosteroids and disease-modifying anti-rheumatic drugs (DMARDs, including conventional synthetic and biologic DMARDs) treatment on the association between rheumatoid arthritis (RA) and non-melanoma skin cancer (NMSC). METHODS: This nationwide retrospective case-control study retrieved data from Taiwan National Health Insurance Research Database during 1995-2013. Cases with newly-diagnosed NMSC (n=19,603) were matched with control without NMSC in a 1:1 ratio according to age, sex, and reference date...
December 15, 2017: Clinical and Experimental Rheumatology
https://www.readbyqxmd.com/read/29297379/constructing-an-integrated-gene-similarity-network-for-the-identification-of-disease-genes
#20
Zhen Tian, Maozu Guo, Chunyu Wang, LinLin Xing, Lei Wang, Yin Zhang
BACKGROUND: Discovering novel genes that are involved human diseases is a challenging task in biomedical research. In recent years, several computational approaches have been proposed to prioritize candidate disease genes. Most of these methods are mainly based on protein-protein interaction (PPI) networks. However, since these PPI networks contain false positives and only cover less half of known human genes, their reliability and coverage are very low. Therefore, it is highly necessary to fuse multiple genomic data to construct a credible gene similarity network and then infer disease genes on the whole genomic scale...
September 20, 2017: Journal of Biomedical Semantics
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