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Feb 20, 2019 (Heraldkeeper by way of COMTEX) -- HTF MI these days announced international commercial enterprise Fraud administration examine with 100+ market statistics Tables and Figures unfold through Pages and light to regard detailed TOC on “enterprise Fraud management. international commercial enterprise Fraud management research permits you to glean discrete strategies for maximizing your earnings. The analysis examine gives estimates for world enterprise Fraud management Forecast until 2025*. one of the crucial leading key business's covered for this analysis are nice Actimize, SAS Institute, Deloitte Touche Tohmatsu India, Capgemini, Oracle, objective Isaac, BAE methods, ACI worldwide, Fiserv, NCR, objective Isaac, allegiance countrywide suggestions capabilities, ACI international, Aquilan technologies, CA applied sciences, CyberSource, EastNets.
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international commercial enterprise Fraud management analysis for a number one enterprise is an ingenious procedure of gathering and examining the numerical statistics regarding capabilities and products. This research supply thought to aims at your centered consumer's understanding, needs and desires. additionally, exhibits how quite simply a company can meet their necessities. The market analysis collects information about the purchasers, marketing approach, rivals. The commercial enterprise Fraud administration Manufacturing industry is becoming more and more dynamic and imaginative, with greater number of deepest avid gamers coming into the industry.
essential facets that are beneath offering & key highlights of the document:
1) who are the leading Key company in world enterprise Fraud administration market space?
Following are listing of gamers which are presently profiled within the file “pleasant Actimize, SAS Institute, Deloitte Touche Tohmatsu India, Capgemini, Oracle, reasonable Isaac, BAE programs, ACI international, Fiserv, NCR, reasonable Isaac, constancy national suggestions features, ACI global, Aquilan technologies, CA technologies, CyberSource, EastNets”
** list of agencies outlined may too vary in the closing report area to identify trade / Merger and so on.2) what's going to the market size be in 2025 and what's going to the boom rate be?In 2019, the world industry Fraud administration market measurement was xx million USD and it's anticipated to reach USD xx million by the conclusion of 2025, with a CAGR of xx% complete over 2019-2025.
three) What are the Market functions & kinds:
The study is segmented by using following Product type: , class Segmentation (On Premise, Cloud, SaaS), industry Segmentation (BFSI, government, Retail, Healthcare, trip & Tourism) & Channel (Direct earnings, Distributor) Segmentation
foremost functions/conclusion-clients industry are: pleasant Actimize, SAS Institute, Deloitte Touche Tohmatsu India, Capgemini, Oracle, reasonable Isaac, BAE techniques, ACI international, Fiserv, NCR, reasonable Isaac, constancy national advice functions, ACI worldwide, Aquilan applied sciences, CA applied sciences, CyberSource, EastNets
**The market is valued in response to weighted unconcerned promoting fee (WASP) and comprises any applicable taxes on producers. complete singular money conversions used within the advent of this document were calculated using consistent annual typical 2018 singular money rates.
to understand international commercial enterprise Fraud management market dynamics on the planet particularly, the global enterprise Fraud management market is analyzed across essential regions. HTF MI additionally provides customized particular regional and country-level studies for the following areas.
? North the us: u.s., Canada, and Mexico.? South & significant the us: Argentina, Chile, and Brazil.? hub East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.? Europe: UK, France, Italy, Germany, Spain, and Russia.? Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.
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competitive analysis:the valuable thing gamers are particularly focusing innovation in production technologies to expand effectivity and shelf existence. The most efficient lengthy-term boom opportunities for this sector can too be captured by means of guaranteeing ongoing process advancements and fiscal flexibility to invest within the finest options. enterprise profile component to avid gamers akin to character Actimize, SAS Institute, Deloitte Touche Tohmatsu India, Capgemini, Oracle, reasonable Isaac, BAE techniques, ACI global, Fiserv, NCR, reasonable Isaac, constancy countrywide assistance functions, ACI worldwide, Aquilan applied sciences, CA applied sciences, CyberSource, EastNets and so forth contains its primary information infatuation legal name, website, headquarters, its market place, historic historical past and genuine 5 closest rivals through Market capitalization / revenue together with contact tips. each player/ company profits figures, boom fee and vulgar profit margin is provided in handy to recollect tabular layout for previous 5 years and a divide area on recent edifice infatuation mergers, acquisition or any recent product/provider launch and many others.research Parameter/ research Methodology
simple analysis:The simple sources involves the industry experts from the world commercial enterprise Fraud management industry including the management groups, processing organizations, analytics carrier providers of the industry's cost chain. complete fundamental sources had been interviewed to amass and authenticate qualitative & quantitative tips and investigate the future possibilities.
in the huge fundamental analysis technique undertaken for this study, the basic sources - trade specialists akin to CEOs, vice presidents, marketing director, technology & innovation directors, founders and related key executives from numerous key businesses and corporations within the global enterprise Fraud management in the industry were interviewed to harvest and determine each qualitative and quantitative features of this analysis analyze.
Secondary research:in the Secondary analysis vital assistance about the industries cost chain, total pool of key players, and software areas. It too assisted in market segmentation according to trade tendencies to the backside-most stage, geographical markets and key traits from each market and expertise oriented views.
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during this analyze, the years considered to rate the market measurement of global enterprise Fraud management are as follows:historical past 12 months: 2013-2018Base 12 months: 2018Estimated 12 months: 2019Forecast 12 months 2019 to 2025
Key Stakeholders in international industry Fraud administration Market:global industry Fraud management ManufacturersGlobal industry Fraud management Distributors/traders/WholesalersGlobal commercial enterprise Fraud administration Subcomponent ManufacturersIndustry AssociationDownstream vendors
**precise Numbers & In-Depth evaluation, enterprise alternatives, Market dimension Estimation obtainable in full document.
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Thanks for reading this article; you could too glean particular person chapter perspicacious section or area sage document edition infatuation North the us, Europe or Asia.
About writer:HTF Market report is a wholly owned company of HTF market Intelligence Consulting inner most restricted. HTF Market document world analysis and market intelligence consulting arduous is uniquely positioned to no longer only establish expand opportunities but to too empower and encourage you to create visionary expand concepts for futures, enabled by means of their bizarre depth and breadth of thought management, analysis, equipment, events and adventure that assist you for making desires privilege into a truth. Their understanding of the interaction between trade convergence, Mega tendencies, applied sciences and market trends offers their purchasers with recent enterprise models and enlargement alternatives. we're concentrated on choosing the "correct Forecast" in each industry they cover so their customers can harvest the merits of being early market entrants and might accomplish their "goals & pursuits".
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connected supplies: Books
ability stage: basis fame: lively
within your means: $one hundred eighty (shortest music)
summary:For programmers, analysts, records managers or anyone writing SAS programs to entry and exploit facts to duty queries and analyses.
initial requirements:You hold to tide SAS foundation programming examination ($180). The exam incorporates 70 assorted-choice questions and has a 2 hour cut-off date. A passing rating of 65% is required. practicing is available but no longer required.
make positive to hold journey in programming and statistics management using SAS. you'll want to even be capable of import and export raw facts files, exploit and seriously change facts, combine SAS facts sets, create basic detail and summary experiences the usage of SAS techniques, and identify and proper statistics, syntax and programming common sense errors.
carrying on with requirements:The SAS world Certification software now concerns versioned credentials that achieve not expire. The edition is indicated in the credential name - for instance, SAS certified foundation Programmer for SAS 9. up to now, SAS issued non-versioned credentials and required recertification every 3 years, but with the addition of versioning to the credential names, recertification necessities hold been dropped.
See complete Sas Certifications
supplier's web page for this certification
huge statistics as a service Market is expected to grow at a Compound Annual expand expense (CAGR) of +10%. the bottom year regarded for the dissect is 2018 and the forecast epoch considered is 2019 To 2025 by using HP Co. IBM Corp. SAP SE,SAS Institute ,Teradata, Accenture, Atos, Cloudera, facts Stax, Microsoft, MongoDB, Predixion utility
This press liberate changed into orginally allotted by SBWire
Houston, TX -- (SBWIRE) -- 02/13/2019 -- statistics as a service market is becoming at a quicker pace as the exact for statistical analysis increases because the huge amount of unstructured statistics is generated at nearly common intervals in quite a few agencies. as a substitute of managing huge information internally, outsource significant information to manage it. tremendous statistics as a provider is provided in numerous ways, together with giant records analysis software as a provider, statistics fabrics including statistics administration and facts aggregation. it might too be offered as a information platform carrier that makes a speciality of analytical programming and cloud infrastructure. As a provider market, immense international facts is anticipated to develop to a extremely tall CAGR as a result of the extraordinary exact for provider provision.
For sample reproduction of this document: https://www.qyreports.com/request-pattern?file-identity=97495
This statistical surveying record investigates and examines the tall information as a service market and exhibits a miles-accomplishing rate of its evolution and its determinations. one other perspective that changed into throughout arranged is the can saturate investigation of the simple items riding the enterprise, remembering the universal profits of the manufacturers.
organizations Profiled during this report includes,HP Co. IBM Corp. SAP SE,SAS Institute ,Teradata, Accenture, Atos, Cloudera, data Stax, Microsoft, MongoDB, Predixion software
Avail covenant on this report: https://www.qyreports.com/ask-for-bargain?file-id=97495
Market Segmented via category:Hadoop-as-a-provider (HDaaS)information Analytics-as-a-provider (DAaaS)records-as-a-service (DaaS)
Market segmentationIn terms of product kinds, tall records as a provider market is classified as Hadoop-as-a-service (HDaaS) and information-as-a-provider (DAAaS). The expected cost is included in the file.The dissect too includes particulars of complete items (income and expand quotes) as well as revenue fees complete through the forecast period.
From an utility ingredient of view, the massive carrier statistics market is divided into financial and financial services, retail, manufacturing, power and utility, scientific, public sector, media and enjoyment and different sectors. The market partake of every utility and the estimated revenue that each one applications should coincide with are integrated into the file.
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Key market segments and sub-segmentsEvolving market traits and dynamicsChanging deliver and exact scenariosQuantifying market alternatives via market sizing and market forecastingTracking present traits/alternatives/challengesCompetitive insightsOpportunity mapping in terms of technological breakthroughs
table of Contents:international big records as a carrier Market research report 2019-2025Chapter 1 global big statistics as a carrier Market OverviewChapter 2 world economic impact on IndustryChapter 3 global Market competitors by using ManufacturersChapter four global production, profits (price) through RegionChapter 5 world give (production), Consumption, Export, Import with the aid of RegionsChapter 6 global construction, revenue (value), fee style via TypeChapter 7 world huge statistics as a service Market evaluation by ApplicationChapter 8 Manufacturing can saturate AnalysisChapter 9 Industrial Chain, Sourcing routine and Downstream BuyersChapter 10 advertising approach analysis, Distributors/TradersChapter eleven Market upshot factors AnalysisChapter 12 world massive statistics as a provider Market Forecast
About QY ReportsWe at, QYReports, a number one market analysis file publisher accommodate greater than 4,000 celebrated consumers worldwide inserting them at information in today's competitive world with their figuring out of analysis. Their listing of consumers contains prestigious chinese groups, multinational groups, SME's and private fairness firms whom we've helped develop and maintain with their fact-based research. Their enterprise examine covers a market size of over 30 industries providing unfailing insights into analysis to reimagine your enterprise. They specialise in forecasts crucial for investing in a recent mission, to revolutionize your business, to develop into greater client centric and enrich the best of output.
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SAS foundation Programming for SAS (r) 9
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Step 1: deserve a College Degree
Employers prefer SAS programmers who hold completed a statistics or computer science bachelor's degree program. apropos coursework in a statistics program includes statistical analysis, sampling, regression analysis, and actuarial science. Courses in computer science programs comprise database applications, foundations of programming languages, operating system design and implementation, parallel computer architecture, and mathematical foundations of computing.
While you're in college, be prepared to develop your mathematical skills. Students in statistics, computer science, and related programs should prepare themselves for advanced mathematics classes, including complete aspects of statistical calculations.
Step 2: Acquire SAS Certification
Students can start their SAS certification at any time. The SAS Global Certification program provides training, e-learning, and certification courses and exams in areas including programming, advanced analytics, industry intelligence and analytics, data management, and administration. Aspiring SAS programmers can sit for certification exams and deserve the foundation programmer, advanced programmer, and clinical trials programmer designations for SAS 9.
Step 3: regard Getting an Advanced Degree
Many employers prefer to hire SAS programmers who hold advanced degrees or master's degrees in statistics or computer science. Acquiring an advanced degree can do an individual more competitive when applying for jobs and eligible for further promotions at a given organization. For example, individuals with a master's degree in statistics can work as SAS statistical programmers or operations research analysts. A master's degree program enables individuals to work with research and develop codes that exploit data and conduct statistical evaluations.
It's a expedient conception to find an area of programming or statistics on which to focus. SAS programmers forward from a variety of backgrounds. The most common areas of study comprise statistics, computational biology, bioinformatics, and computer science. Some employers require candidates to hold work experience in both programming and a specific area of study. For example, an employer may be seeking candidates with experience in both SAS programming and biotechnology, for which a master's degree in computational biology would be helpful.
Step 4: Gain SAS Programming work Experience
Once an individual completes a postsecondary degree and becomes certified in SAS programming, there are a variety of industries to regard when seeking employment. If there are experiential requirements for a specific position which an individual has not met, one might regard doing volunteer work as a programmer to gain hands-on experience outside of a classroom.
As soon as possible, you'll want to combine the SAS community. The SAS community is an online group of SAS programmers where one can find answers and collaborate with others. The SAS community is too an excellent source for professional tips, articles, job openings, product information, and sharing forums.
You'll too want to combine other programming societies. Joining programming societies facilitates meeting others in the field, as well as staying current with technological news. One such society is the National Association of Programmers (NAP), which is committed to educating its members by offering certification courses and publishing industry-related articles. For individuals whose area of focus is mathematics or statistics, the Mathematical Optimization Society serves as an educational, support, and networking group.
SAS programmers hold advanced analytical and mathematics abilities. They usually hold master's degrees along with SAS certification, and they deserve a median annual salary of $79,530.
The situation of North Carolina has partnered with SAS and InterSystems to modernize the North Carolina Department of Information Technology’s NC HealthConnex, the state’s designated health information exchange. NC HealthConnex supports improved trust character and patient safety, facilitates better trust transitions, and reduces overall health trust costs by making pertinent medical data available to more than 4,500 health trust facilities across the state.
A health information exchange (HIE), infatuation NC HealthConnex, is a secure electronic network that gives authorized providers near real-time electronic access to patients’ comprehensive medical histories treatment summaries, medication lists, lab results, diagnoses and more. Access to such information helps a patient’s disparate trust teams do more timely, informed trust decisions. Studies indicate that expend of an HIE in an emergency department reduces the odds of hospital admission,  and access to an HIE reduces hospital readmissions and reiterate diagnostics infatuation imaging.
“HIEs across the country are valuable partners and facilitators for data sharing to champion whole-person care,” said Christie Burris, Executive Director, NC HealthConnex. “Like their counterparts across the country, they believe that patients deserve to hold their health records available where and when they need them. In North Carolina today, health trust providers are using more than 150 disparate electronic health record (EHR) systems. NC HealthConnex bridges the gap between them to promote access to and exchange of health information at the point of trust for more preempt treatment decisions and effective trust management. This is especially valuable for the state’s most vulnerable or chronically ill patients.”
Working with SAS, the North Carolina Department of Information Technology (NC DIT) has enhanced the usability and effectiveness of NC HealthConnex by improving provider participation and information sharing capabilities. NC HealthConnex has seen tremendous growth in the past two years, multiplying its connected participant foundation by a factor of five, with participating health trust organizations including hospitals, physician practices, long-term trust facilities, local health departments, behavioral health providers, Federally Qualified Health Centers (FQHCs), bucolic Health Clinics (RHCs), radiology centers and others. The result is a more holistic view of a patient’s health and trust that reveals patterns far beyond an individual provider’s records within their own EHR or network.
“NC HealthConnex has made Great strides in participation, information sharing and access,” said Burris. “Our commitment to improving outcomes extends beyond the day-to-day administration of care, and even beyond their borders.”
NC HealthConnex led a bold interstate data sharing project in forward of Hurricane Florence. As the storm barreled toward the East Coast, NC DIT, SAS and teams from South Carolina, Virginia, Tennessee and Georgia urgently connected the states’ HIEs via the Sequoia Project’s eHealth Exchange network. As a result, patients displaced by the deadly storm, including those injured in neighboring states, could be treated by providers with access to their full health records. Those connections remain in place, fostering better trust across much of the Southeast.The next stage of NC HealthConnex modernization
NC HealthConnex is one of the country’s fastest-scaling HIEs, thanks in Part to a recent collaboration creating a more modernized, seamless experience for health trust providers. NC HealthConnex now combines InterSystems’ leading health information exchange platform, HealthShare, with SAS health analytics. The integration was achieved with the abet of implementation confederate J2 Interactive.
Through the collaboration, NC HealthConnex fosters interoperability between trust settings, providing practical patient information at the point of trust and enabling the situation to better understand trust and outcomes in diverse communities. Integrating SAS analytics technologies will give providers insight into the drivers behind particular conditions, while policy and program stakeholders can explore more prescriptive paths to system-wide improvements.
“Health trust providers often just exchange data without abysmal analysis, missing the opportunity to help patient matching and learn more about the health of their communities,” said vouchsafe Brooks, Vice President of SAS’ US Government and Education Practice.”NC HealthConnex enables health providers to gain a more complete view of a patient and build trust strategies centered around their needs.”
NC HealthConnex’s notification services can too alert providers when a patient experiences a change in health status. The service, called NC*Notify, notifies providers as their patients receive trust across the trust continuum, including acute and ambulatory trust settings.
InterSytems HealthShare is used by some of the most successful situation and regional HIEs to help data sharing among health providers, including the largest in the nation, Healthix, which serves recent York City and Long Island, and Manifest MedEx, the largest nonprofit health data network in California.
“North Carolina is a pioneer in using cutting-edge information technology to forward emerging trust initiatives,” said Don Woodlock, Vice President of HealthShare at InterSystems. “Through InterSystems’ partnership with NC HealthConnex, the situation has made significant strides in connectivity, as well as value-based trust and managed trust efforts, complete by making the HIE the central source of clinical data to better manage needs of the patient population.”
Attendees of HIMSS, the industry's largest health information and technology conference, can learn more by visiting the SAS Booth 4769 or InterSystems Booth 1559, February 11-15 in Orlando, FL.
About the NC Department of Information TechnologyThe North Carolina Department of Information Technology (it.nc.gov) promotes a stronger North Carolina through broadband, public safety, healthcare, cybersecurity and customer service.
About InterSystems and InterSystems HealthShare®InterSystems (intersystems.com) is the information engine that powers some of the world’s most valuable applications. In healthcare, finance, government, and other sectors where lives and livelihoods are at stake, InterSystems has been a strategic technology provider since 1978. InterSystems is a privately held company headquartered in Cambridge, Massachusetts (USA), with offices worldwide, and its software products are used daily by millions of people in more than 80 countries.
InterSystems HealthShare is a suite of connected health solutions that unites providers, patients, and payers with a unified health record and analytics that span the trust continuum. HealthShare integrates data from a variety of health information systems and pulls it into one status to give trust teams a complete view of the patient.
 Vest JR, Kern LM, Campion TR Jr, Silver MD, Kaushal R. Association between expend of a health information exchange system and hospital admissions. Appl Clin Inf 2014; 5: 219 231. Vest JR, Kern LM, Silver MD, et al. The potential for community-based health information exchange systems to reduce hospitalReadmissions. J Am Med Inform (published online first). Vest JR, Kaushal R, Silver MD, Hentel K, Kern LM. Health Information Exchange and the Frequency of reiterate Medical Imaging. Am J Manag Care. 2014;(11 Spec No. 17):eSP16-eSP24.
About SASSAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.
The Coronary Artery Risk evolution in immature Adults (CARDIA) study is a population-based longitudinal study of the determinants of cardiovascular disease in immature black and white adults22. At baseline (1985–1986), the study recruited 5115 participants aged 18–30 years randomly selected by telephone numbers from census tracts in four US cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and Oakland, California); the sample was balanced by race (black, white), sex, and education (high school degree or less, higher than tall school). Participants were followed for 25 years (with examinations at year 2, 5, 7, 10, 15, 20, and 25 of follow-up); 72% (n = 3499) of the surviving baseline cohort participated in the 25th year examination.
At the 25th year examination, a sub-sample took Part in the CARDIA brain magnetic resonance imaging (MRI) sub-study. That sub-study enrolled participants from three CARDIA realm centers (Birmingham, Minneapolis, and Oakland) and aimed to achieve a balanced sample within sex-race groups. Exclusion criteria were a contra-indication to MRI or a corpse size too big for the MRI tube bore. In total, 719 subjects participated in the MRI sub-study.
CARDIA is annually approved by the institutional review boards at each site (the Institutional Review Board of the University of Minnesota, the Kaiser Permanente Northern California Institutional Review Board, University of Pennsylvania Institutional Review Board, The University of Alabama Birmingham Institutional Review Board, and the NIH Office of Human Subjects Research Protection for the Intramural Research Program, National Institute on Aging); divide approval was obtained for the brain MRI study. Each participant provided written informed consent at each exam12.
Brain MRI data
Brain MRIs were acquired using 3-T MR scanners (Oakland: Siemens 3 T Tim Trio/VB 15 platform; Minnesota: Siemens 3 T Tim Trio/VB 15 platform; and Alabama: Philips 3 T Achieva/126.96.36.199 platform). In collaboration with the MRI reading hub at the University of Pennsylvania (Section of Biomedical Image Analysis, Department of Radiology), each MRI realm hub performed the MRI scans and transferred the data to the reading center, according to standardized procedures and following criterion character assurance protocols, previously described12. Brain tissue volumes were estimated from the sagittal 3D T1 sequence (Plane Sagittal Coil 12channel File name 3D T1 MPRAGE: Tr 1900 Te 2.89 Fov 250 mm, thickness 1 mm slices 176 slices, foundation Res 255, facet res 100%, Matrix 256 × 256 NSA 1 TI 900 ms Pixel BW 170hz. ETL = 1 Flip = 9).
Image processing, character control checks, and automated brain tissue volume computations were complete performed at the MRI reading hub following standardized protocols12,23,24,25,26. First, complete imaging data were converted to Neuroimaging Informatics Technology Initiative (NIFTI) format. Initial character control (QC) was performed through manual inspection of each subject’s T1 scan for motion artifacts and other character issues. The preprocessing of the T1-weighted scan involved brain extraction (i.e., the removal of the skull, extra-cerebral tissues and cerebellum) using a multi-atlas segmentation method27, correction of image inhomogeneities28, and segmentation of the brain parenchyma into GM, WM and cerebrospinal fluid29. Brain tissue was segmented into anatomical regions by transferring expert defined region of interest (ROI) labels on a criterion template image space to the subject T1 space through non-linear registration23. GM and WM were classified into regions of interest according to the Jakob atlas30 and further into prevalent and abnormal and tissue. Within each ROI, GM and WM volumetric measurements are calculated. Total brain volume was obtained by summing GM and WM volumes; total intracranial volume was the sum of GM, WM, and cerebral spinal fluid volumes.
Here, they assessed the associations of smoking with total GM volume, and as a comparison with total brain tissue and total WM volume. They examined associations with lobar GM to assess whether smoking had a global compared to specific association with GM. They too assessed the relationship of smoking with GM volumes in specific brain structures. These regions hold been linked to dementia and cognitive impairment and to addiction disorders and hold been implicated in memory, learning and cognition as well as emotion and reward processes: hippocampus (memory and emotion regulation), parahippocampal gyrus (memory encoding and recall), entorhinal cortex (memory), precuneus (memory and cognition), cuneus (visual processing and inhibitory control), thalamus (perception, sensory, and motor processes), caudate (motor, learning, and reward processes), putamen (movement and learning), nucleus accumbens (reward), cingulate (emotion and behavior regulation), insula (emotional experience and perception), and the amygdala (affective processing and emotional memory)21,31,32,33,34,35.
Smoking data were collected with the identical interviewer-based questionnaire administered at each study examination. Participants were asked if they hold ever smoked regularly (defined as at least 5 cigarettes per week, almost every week) for at least three months. If they answered no, they were classified as never-smoker at that study wave. If they answered yes, participants were then asked whether they currently smoked regularly (at least five cigarettes per week, almost every week) for at least three months; participants were classified as current smokers if they answered yes, and as former smokers if they reported no current regular cigarette smoking.
Mid-life smoking status was based on self-reported status (never, former, current) at year 25. This self-report was verified against prior data from earlier study exams; for most participants, self-reported status was consistent across study waves, and for 57 (8.7%) subjects who reported being never-smokers at Year 25, they re-coded them as former-smokers because they had reported being smokers or former-smokers at multiple previous study exams.
All analyses were adjusted for age, race (black/white), educational attainment (≤high school diploma, >high school diploma), total intracranial volume, and study center. They then incorporated data on several factors combined into three groups, representing three mechanisms and pathways that are hypothesized to act as confounders or mediators of the smoking-GM volume relationship: vascular, respiratory, and gist use/psychological factors.
Vascular risk factors included corpse mass index, history of hypertension (defined as current or prior incident of: diastolic blood pressure ≥90 and/or systolic blood pressure ≥ 140mmHg and/or taking antihypertensive medication), cerebro/vascular events (yes/no variable indicating self-reported incident of any of the following: heart attack, angina, heart failure, rheumatic heart disease, mitral valve prolapse, stroke and peripheral vascular disease), history of diabetes (defined following ADA criteria for levels of fasting, non-fasting or postprandial OGTT results, HbA1c percent, or expend of anti-diabetes medication), and hypercholesterolemia (total cholesterol ≥ 240 mg/DL and/or expend of cholesterol lowering medication).
Respiratory factors were history of respiratory illness (defined as current or prior self-reported incident of asthma, tuberculosis, inveterate bronchitis, inveterate obstructive pulmonary disease, emphysema, or expend of medication for asthma or for breathing problems), and forced expiratory volume (FEV1 estimated at 1 sec, in liters, and measured using a spirometer).
Substance use/psychological factors investigated were self-reported lifetime illicit drug expend (yes/no for having ever-used any of the following: marijuana, amphetamines, methamphetamines, cocaine, crack, heroin, or pain-killers for non-medical reasons), depressive symptoms (Center for Epidemiologic Studies – Depression; CES-D) scale36, and alcohol consumption, which was based on questions regarding the customary number of alcoholic beverages (wine, beer, or arduous liquor) consumed per week; assuming that one drink of beer, wine, or liquor contains 16.7, 17.0, and 19.1 milliliters (mL) of ethanol respectively (as per CARDIA protocol), they computed total consumption per week in mL of ethanol and divided it by 17.24 mL of ethanol per unconcerned drink to rate the customary number of drinks per week. Accordingly, alcohol consumption was classified as no alcohol expend (no consumption of alcohol beverages), high-risk alcohol expend (based on the sex-specific weekly maximum drinking limits published by the National Institute on Alcohol abuse and Alcoholism (for men > 14, women > 7 criterion drinks/week)), and low-risk alcohol expend (>0 and ≤7 drinks for women and >0 and ≤14 drinks for men).
FEV1 measures were collected at the year 20 exam, the study visit prior to the MRI. For complete other covariates, they used their values at the time of the MRI (year 25 exam).
In sensitivity analyses, they too included adjustment for cancer history (current or previous incident of cancer and tumor) and physical activity (measured at year 25 using physical activity scores expressed in exercise units, calculated based on the reported frequency and intensity of participation in 13 categories of moderate and vigorous recreational sports, exercise, leisure, and occupational activities over the prior 12 months)37. Since results did not change with these adjustments, data are not shown.
Of the 719 subjects with MRI data, 698 had complete data on smoking and potential covariates, and 643 had data on FEV1. Total and regional GM volumes were normally distributed. Multivariable linear regression models were used to examine their relationships with mid-life smoking status at the time of the MRI. In complete analyses, they adjusted for basic covariates (age, sex, race, educational attainment, intracranial volume, and study centers). They systematically examined the role of other potentially valuable covariates by using three models, one adjusting for vascular factors, one for respiratory factors, and one for gist use/psychological factors. Then, they tested, using interaction terms, whether these factors modified the associations of smoking and GM volumes and conducted stratified analyses to examine significant interactions. They primarily focused on other vascular risk factors— which often co-occur with smoking and might influence smoking behavior and its outcomes6,12,38— and on alcohol use, given its tall co-morbidity with smoking and emerging findings regarding their interactions11,19,39.
Given the tall prevalence of self-reported ever-use of marijuana (Supplementary Table S1), they assessed in sensitivity analyses, whether there was a change in results after adjusting for or testing for upshot modification by the lifetime expend (yes/no) of marijuana and by the lifetime extent of marijuana expend (the number of times participants reported using marijuana up to study year 25 (classified into ≤2, 3 to 10, 11 to 99, 100 to 499, and ≥500 times)); they saw no significant inequity in the conclusions.
In additional analyses, they evaluated the relationship of indicators of smoking history (cumulative pack-years, age at start of smoking, and years of smoking cessation) and GM outcomes among ever-smokers.
All analyses tested two-tailed hypotheses with a significance flush of 0.05. Analyses were completed using SAS version 9.3 (SAS Institute, Cary, NC). Data and statistical codes are available from the CARDIA Coordinating Center: http://www.cardia.dopm.uab.edu/contact-cardia.