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American Journal of Preventive Medicine, ISSN 0749-3797, 02/2013, Volume 44, Issue 2, pp. 132 - 138
Journal Article
American Journal of Preventive Medicine, ISSN 0749-3797, 02/2013, Volume 44, Issue 2, pp. 132 - 138
Background: Prospective studies report associations between indicators of time spent sitting and obesity risk. Most studies use a single indicator of sedentary... 
Journal Article
American Journal of Preventive Medicine, ISSN 0749-3797, 02/2013, Volume 44, Issue 2, pp. 132 - 138
Background: Prospective studies report associations between indicators of time spent sitting and obesity risk. Most studies use a single indicator of sedentary... 
Journal Article
JAMA, ISSN 0098-7484, 08/2012, Volume 308, Issue 8, pp. 796 - 803
Journal Article
Journal of the American Medical Association (JAMA), ISSN 0098-7484, 08/2012, Volume 308, Issue 8, pp. 796 - 803
Context: The evidence that measurement of the common carotid intima-media thickness (CIMT) improves the risk scores in prediction of the absolute risk of... 
Medicine(all)
Journal Article
BMC Medicine, ISSN 1741-7015, 08/2018, Volume 16, Issue 1, pp. 124 - 13
Background: Studies have shown that alcohol intake trajectories differ in their associations with biomarkers of cardiovascular functioning, but it remains... 
Alcohol | IPD meta-analysis | Longitudinal design | Coronary heart disease | LIFE-COURSE | MORTALITY RISK | PATTERNS | MENDELIAN RANDOMIZATION | IPD meta analysis | BLOOD-PRESSURE | ALL-CAUSE | MEDICINE, GENERAL & INTERNAL | PROFILE | MODERATE DRINKING | CARDIOVASCULAR-DISEASE | HEALTH | France - epidemiology | Myocardial Infarction - epidemiology | Alcohol Drinking - pathology | Humans | Middle Aged | Risk Factors | Coronary Disease - epidemiology | Male | Disease Progression | Incidence | Myocardial Infarction - complications | Alcohol Drinking - epidemiology | Coronary Disease - complications | Aged, 80 and over | Adult | Female | Aged | Longitudinal Studies | United Kingdom - epidemiology | Cohort Studies | Usage | Analysis | Causes of | Drinking of alcoholic beverages | Research | Comparative analysis | Public health | Meta-analysis | Heart | Risk | Cardiovascular disease | Males | Alcohol use | Alcohols | Confidence intervals | Demographics | Trajectory analysis | Heart diseases | Stability | Ethanol | Drinking behavior | Mortality | Health risks | Data processing | Fatal | Coronary artery disease | Studies | Alcoholic beverages | Biomarkers | Cardiovascular diseases | Females | Health risk assessment | Life Sciences | Human health and pathology | Santé publique et épidémiologie | Cardiology and cardiovascular system
Journal Article
British Journal of Sports Medicine, ISSN 0306-3674, 05/2017, Volume 51, Issue 10, pp. 818 - 823
Journal Article
by Nolte, Ilja M and Munoz, M. Loretto and Tragante, Vinicius and Amare, Azmeraw T and Jansen, Rick and Vaez, Ahmad and von der Heyde, Benedikt and Avery, Christy L and Bis, Joshua C and Dierckx, Bram and van Dongen, Jenny and Gogarten, Stephanie M and Goyette, Philippe and Hernesniemi, Jussi and Huikari, Ville and Hwang, Shih-Jen and Jaju, Deepali and Kerr, Kathleen F and Kluttig, Alexander and Krijthe, Bouwe P and Kumar, Jitender and van der Laan, Sander W and Lyytikäinen, Leo-Pekka and Maihofer, Adam X and Minassian, Arpi and van der Most, Peter J and Müller-Nurasyid, Martina and Nivard, Michel and Salvi, Erika and Stewart, James D and Thayer, Julian F and Verweij, Niek and Wong, Anew and Zabaneh, Delilah and Zafarmand, Mohammad H and Abdellaoui, Abdel and Albarwani, Sulayma and Albert, Christine and Alonso, Alvaro and Ashar, Foram and Auvinen, Juha and Axelsson, Tomas and Baker, Dewleen G and de Bakker, Paul I. W and Barcella, Matteo and Bayoumi, Riad and Bieringa, Rob J and Boomsma, Dorret and Boucher, Gabrielle and Britton, Annie R and Christophersen, Ingrid and Dietrich, Anea and Ehret, George B and Ellinor, Patrick T and Eskola, Markku and Felix, Janine F and Floras, John S and Franco, Oscar H and Friberg, Peter and Gademan, Maaike G. J and Geyer, Mark A and Gieaitis, Vilmantas and Hartman, Catharina A and Hemerich, Daiane and Hofman, Albert and Hottenga, Jouke-Jan and Huikuri, Heikki and Hutri-Kähönen, Nina and Jouven, Xavier and Junttila, Juhani and Juonala, Markus and Kiviniemi, Antti M and Kors, Jan A and Kumari, Meena and Kuznetsova, Tatiana and Laurie, Cathy C and Lefrandt, Joop D and Li, Yong and Li, Yun and Liao, Duanping and Limacher, Marian C and Lin, Henry J and Lindgren, Cecilia M and Lubitz, Steven A and Mahajan, Anubha and McKnight, Barbara and Meyer zu Schwabedissen, Henriette and Milaneschi, Yuri and Mononen, Nina and Morris, Anew P and Nalls, Mike A and Navis, Gerjan and Neijts, Melanie and Nikus, Kjell and North, Kari E and O'Connor, Daniel T and Ormel, Johan and Perz, Siegfried and Peters, Annette and Psaty, Bruce M and ... and Medicinska fakulteten and Science for Life Laboratory, SciLifeLab and Medicinska och farmaceutiska vetenskapsområdet and Molekylär medicin and Geriatrik and Uppsala universitet and Institutionen för medicinska vetenskaper and Molekylär epidemiologi and Institutionen för folkhälso- och vårdvetenskap
Nature communications, ISSN 2041-1723, 2017, Volume 8, Issue 1, p. 15805
Journal Article
PLoS One, ISSN 1932-6203, 2015, Volume 10, Issue 7, p. e0132321
BACKGROUND: Clinical manifestations and outcomes of atherosclerotic disease differ between ethnic groups. In addition, the prevalence of risk factors is... 
INTIMA-MEDIA THICKNESS | POPULATION | PROFILE | IMMIGRATION | MULTIDISCIPLINARY SCIENCES | DISEASE | ATHEROSCLEROSIS | HEALTH | BLOOD-PRESSURE | PROGRESSION | PREDICTION | Age Distribution | Prevalence | Follow-Up Studies | Dyslipidemias - ethnology | Humans | Middle Aged | Hypertension - drug therapy | Male | Incidence | Stroke - pathology | Ethnic Groups | Carotid Artery Diseases - pathology | Myocardial Infarction - pathology | Adult | Cholesterol, LDL - blood | Female | Continental Population Groups | Global Health | Carotid Intima-Media Thickness | Comorbidity | Risk Factors | Proportional Hazards Models | Linear Models | Carotid Artery Diseases - ethnology | Smoking - ethnology | Hypertension - ethnology | Cholesterol, HDL - blood | Diabetes Mellitus - ethnology | Stroke - ethnology | Aged | Myocardial Infarction - ethnology | Stroke (Disease) | Prognosis | Blood cholesterol | Atherosclerosis | Development and progression | Cardiovascular diseases | Risk factors | Heart attack | Myocardial infarction | Health sciences | Hispanic Americans | Cardiovascular disease | Prevention | Regression models | Etiology | Race | Population | Blood pressure | Cardiology | Lipoproteins (high density) | Cerebral infarction | Stroke | Internal medicine | Mortality | Health risks | Gender differences | Regression analysis | Metabolism | Risk analysis | Cultural differences | Minority & ethnic groups | Primary care | Ethnic factors | Cholesterol | Medicine | Disease prevention | Neurology | Hospitals | Arteriosclerosis | Immigration | Infarction | Diabetes | Health risk assessment | Smoking | VDP | Klinisk medisinske fag: 750 | Cardiology: 771 | Medisinske Fag: 700 | Kardiologi: 771 | Clinical medical disciplines: 750 | Medical disciplines: 700 | Kardiologi | Clinical Medicine | Cardiac and Cardiovascular Systems | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap
Journal Article
PLoS One, ISSN 1932-6203, 2017, Volume 12, Issue 3, p. e0173393
BACKGROUND: The relation of a single risk factor with atherosclerosis is established. Clinically we know of risk factor clustering within individuals. Yet,... 
INDIVIDUALS | EVENTS | COUNTRIES | DETERMINANTS | MULTIDISCIPLINARY SCIENCES | MALMO DIET | ATHEROSCLEROSIS | FUTURE | ARTERY | PROGRESSION | PREDICTION | Meta-Analysis as Topic | Age Factors | Cross-Sectional Studies | Carotid Intima-Media Thickness | Cholesterol - blood | Humans | Middle Aged | Risk Factors | Linear Models | Male | Overweight - diagnostic imaging | Overweight - epidemiology | Smoking - epidemiology | Cardiovascular Diseases - diagnostic imaging | Sex Factors | Cardiovascular Diseases - epidemiology | Female | Aged | Hypertension - diagnostic imaging | Hypertension - epidemiology | Cluster Analysis | Cohort Studies | Analysis | Atherosclerosis | Research | Carotid artery | Health risk assessment | Health aspects | Risk factors | Cluster analysis | Health sciences | Body weight | Cardiovascular disease | Epidemiology | Carotid arteries | Blood | Prevention | Regression models | Population | Blood pressure | Cardiology | Public health | Hypertension | Stroke | Nutrition | Internal medicine | Health risks | Regression analysis | Metabolism | Risk analysis | Clustering | Minority & ethnic groups | Primary care | Cholesterol | Ethnic factors | Medicine | Studies | Neurology | Arteriosclerosis | Men | Diabetes | Cardiovascular diseases | Smoking | VDP | Medisinske Fag: 700 | Klinisk medisinske fag: 750 | Clinical medical disciplines: 750 | Medical disciplines: 700 | rotterdam | disease | general-population | Hälsovetenskaper | prediction | progression | artery | subclinical atherosclerosis | events | Health Sciences | clinical-practice | malmo diet
Journal Article