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1. Full Text Ethnic differences in infectious burden and the association with metabolic risk factors for cardiovascular disease: a cross-sectional analysis
by Hartog, Lara and van Rooijen, Martijn S and Ujčič-Voortman, Joanne and Prins, Maria and van Valkengoed, Irene G. M
BMC public health, ISSN 1471-2458, 2018, Volume 18, Issue 1, pp. 276 - 9
The burden of metabolic risk factors for cardiovascular disease (CVD), such as type 2 diabetes, elevated cholesterol and hypertension, is unequally distributed... 
Hypertension | Ethnicity | Infections | Hypercholesterolemia | Diabetes | Infectious burden | MANAGEMENT | TURKEY | ATHEROSCLEROSIS | PREVALENCE | WOMEN | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | HEPATITIS-C VIRUS | PATHOGEN BURDEN | NETHERLANDS | AMSTERDAM | Ethnic Groups - statistics & numerical data | Cardiovascular Diseases - ethnology | Cross-Sectional Studies | Health Status Disparities | Humans | Middle Aged | Netherlands - epidemiology | Risk Factors | Male | Turkey - ethnology | Hypercholesterolemia - ethnology | Young Adult | Morocco - ethnology | Diabetes Mellitus, Type 2 - ethnology | Health Surveys | Hypertension - ethnology | Adolescent | Adult | Female | Aged | Communicable Diseases - ethnology | Complications and side effects | Metabolic diseases | Demographic aspects | Cardiovascular diseases | Communicable diseases | Risk factors | Hepatitis A virus | Physical activity | Laboratories | Herpes simplex | Viruses | Cardiovascular disease | Confidence intervals | Hepatitis | Body mass index | Regression models | Helicobacter pylori | Atherosclerosis | Population | Cross sections | Diabetes mellitus (non-insulin dependent) | Public health | Statistical analysis | Diabetes mellitus | Health risks | Regression analysis | Metabolism | Risk analysis | Cultural differences | Minority & ethnic groups | Cholesterol | Ethnic factors | Studies | Infectious diseases | Body mass | Body size | Socioeconomic factors | Coronary vessels | Adults | Hepatitis A
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2. Full Text Plasma Cholesteryl Ester Fatty Acids do not Mediate the Association of Ethnicity with Type 2 Diabetes: Results From the HELIUS Study
by Muilwijk, Mirthe and Celis-Morales, Carlos and Nicolaou, Mary and Snijder, Marieke B and Gill, Jason M. R and van Valkengoed, Irene G. M
Molecular nutrition & food research, ISSN 1613-4125, 2018, Volume 62, Issue 2, pp. 1700528 - n/a
Scope: Ethnic minority groups have a higher risk of type 2 diabetes (T2D) than the host population. Our aim is to identify whether plasma cholesteryl ester... 
type 2 diabetes | non‐insulin‐dependent diabetes mellitus | ethnicity | fatty acids | non-insulin-dependent diabetes mellitus | RISK-FACTORS | FOOD SCIENCE & TECHNOLOGY | PREVALENCE | COMMUNITIES | INSULIN SENSITIVITY | ATHEROSCLEROSIS RISK | EUROPE | INFLAMMATION | BETA-CELL DYSFUNCTION | HEALTH | DIETARY PATTERNS | Prevalence | Humans | Middle Aged | Male | Cholesterol Esters - blood | Energy Intake | Netherlands - ethnology | Diabetes Mellitus, Type 2 - blood | Diabetes Mellitus, Type 2 - ethnology | Ethnic Groups | Adult | Female | Fatty Acids - blood | Diabetes | Mediation | Fatty acids | Analysis | Ethnicity | Physical activity | Body mass | Diabetes mellitus | Health risks | Regression analysis | Cultural differences | Diabetes mellitus (non-insulin dependent) | Minority & ethnic groups | Smoking
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3. Full Text Do ethnic inequalities in multimorbidity reflect ethnic differences in socioeconomic status? The HELIUS study
by Verest, Wim J. G. M and Galenkamp, Henrike and Spek, Bea and Snijder, Marieke B and Stronks, Karien and van Valkengoed, Irene G. M
European journal of public health, ISSN 1101-1262, 2019, Volume 29, Issue 4, pp. 687 - 693
BACKGROUND: The burden of multimorbidity is likely higher in ethnic minority populations, as most individual diseases are more prevalent in minority groups.... 
MOROCCAN | EUROPE | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | DISPARITIES | SEX | CARDIOVASCULAR-DISEASE | RISK | TURKISH | HEALTH-CARE | PREVALENCE | EDUCATION | Migration and Health
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4. Full Text The high risk for type 2 diabetes among ethnic minority populations is not explained by low-grade inflammation
by Muilwijk, Mirthe and Nieuwdorp, Max and Snijder, Marieke B and Hof, Michel H. P and Stronks, Karien and van Valkengoed, Irene G. M
Scientific reports, ISSN 2045-2322, 2019, Volume 9, Issue 1, pp. 19871 - 8
Our aim was to identify whether low-grade inflammation, reflected by C-reactive protein (CRP), explains the higher risk for incident type 2 diabetes (T2D)... 
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5. Full Text The Uptake of Screening for Type 2 Diabetes and Prediabetes by Means of Glycated Hemoglobin versus the Oral Glucose Tolerance Test among 18 to 60-Year-Old People of South Asian Origin: A Comparative Study
by van Valkengoed, Irene G. M and Vlaar, Everlina M. A and Nierkens, Vera and Middelkoop, Barend J. C and Stronks, Karien
PLoS ONE, ISSN 1932-6203, 2015, Volume 10, Issue 8, p. e0136734
Direct comparisons of the effect of a glycated haemoglobin measurement or an oral glucose tolerance test on the uptake and yield of screening in people of... 
INDIVIDUALS | POPULATION | MULTIDISCIPLINARY SCIENCES | SURINAMESE | DISEASE | GENERAL-PRACTICE | PREVENTION PROGRAM | PREVALENCE | MELLITUS | INTERVENTION | CARDIOVASCULAR RISK | Glucose Tolerance Test | Glycated Hemoglobin A - metabolism | Humans | Middle Aged | Male | Suriname - epidemiology | Mass Screening - methods | Diabetes Mellitus, Type 2 - epidemiology | Diabetes Mellitus, Type 2 - diagnosis | Asian Continental Ancestry Group | Diabetes Mellitus, Type 2 - blood | Adolescent | Adult | Female | Measurement | Type 2 diabetes | Blood sugar | Hemoglobin | Diagnosis | Diabetes | Research | Properties | Elderly people | Health services | Diabetes mellitus | Health risks | Clinical trials | Systematic review | Materials selection | Regression analysis | Glucose | Medical screening | Studies | Prevention | Glucose tolerance | Screening | Dental materials | Population | Diabetes mellitus (non-insulin dependent) | Elderly | Public health | Methods | Asians
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6. Full Text Ethnic differences in metabolite signatures and type 2 diabetes: a nested case-control analysis among people of South Asian, African and European origin
by van Valkengoed, Irene G. M and Argmann, Carmen and Ghauharali-van der Vlugt, Karen and Aerts, Johannes M. F. G and Brewster, Lizzy M and Peters, R. J. G and Vaz, Frédéric M and Houtkooper, Riekelt H
NUTRITION & DIABETES, ISSN 2044-4052, 2017, Volume 7, Issue 12, pp. 300 - 8
Accumulation of metabolites may mark or contribute to the development of type 2 diabetes mellitus (T2D), but there is a lack of data from ethnic groups at high... 
FASTING GLUCOSE | PROFILES | NUTRITION & DIETETICS | DIET | INSULIN-RESISTANCE | SURINAMESE | ENDOCRINOLOGY & METABOLISM | RISK | Amino acids | Diabetes | Metabolites | Cultural differences | Minority & ethnic groups
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7. Full Text Socio-economic differences in incidence, bystander cardiopulmonary resuscitation and survival from out-of-hospital cardiac arrest: A systematic review
by van Nieuwenhuizen, Benjamin P and Oving, Iris and Kunst, Anton E and Daams, Joost and Blom, Marieke T and Tan, Hanno L and van Valkengoed, Irene G.M
Resuscitation, ISSN 0300-9572, 08/2019, Volume 141, pp. 44 - 62
Individuals with a low socioeconomic status (SES) may have a greater mortality rate from out of hospital cardiac arrest (OHCA) than those with a high SES. We... 
Arrhythmia | ESCAPE-NET | Out-of-hospital | Cardiopulmonary resuscitation | Cardiac arrest | Socioeconomic | Survival | Incidence | UNITED-STATES | MORTALITY | INITIATED CPR | NEIGHBORHOOD CHARACTERISTICS | INDIVIDUAL-LEVEL | EMERGENCY MEDICINE | CARDIOVASCULAR-DISEASE | HEALTH | CORONARY-HEART-DISEASE | ASSOCIATION | MAJOR RISK-FACTORS | CRITICAL CARE MEDICINE | CPR (First aid) | Mortality | Analysis
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8. Full Text Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants
by Zhou, Bin and Lu, Yuan and Hajifathalian, Kaveh and Bentham, James and Di Cesare, Mariachiara and Danaei, Goodarz and Bixby, Honor and Cowan, Melanie J and Ali, Mohammed K and Taddei, Cristina and Lo, Wei-Cheng and Reis-Santos, Barbara and Stevens, Gretchen A and Riley, Leanne M and Miranda, J. Jaime and Bjerregaard, Peter and Rivera, Juan A and Fouad, Heba M and Ma, Guansheng and Mbanya, Jean Claude N and McGarvey, Stephen T and Mohan, Viswanathan and Onat, Altan and Pilav, Aida and Ramachanan, Ambady and Romdhane, Habiba Ben and Paciorek, Christopher J and Bennett, James E and Ezzati, Majid and Abdeen, Ziad A and Abdul Kadir, Khalid and Abu-Rmeileh, Niveen M and Acosta-Cazares, Benjamin and Adams, Robert and Aekplakorn, Wichai and Aguilar-Salinas, Carlos A and Agyemang, Charles and Ahmadvand, Alireza and Al-Othman, Amani Rashed and Alkerwi, Ala'a and Amouyel, Philippe and Amuzu, Antoinette and Andersen, Lars Bo and Anderssen, Sigmund A and Anjana, Ranjit Mohan and Aounallah-Skhiri, Hajer and Brewster, Lizzy M and Snijder, Marieke B and Stronks, Karien and van Valkengoed, Irene G. M and NCD Risk Factor Collaboration and NCD Risk Factor Collaboration (NCD-RisC) and Umeå universitet
Lancet, ISSN 0140-6736, 2016, Volume 387, Issue 10027, pp. 1513 - 1530
Background One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its... 
UNITED-STATES | HEALTH EXAMINATION SURVEYS | MIDDLE-INCOME COUNTRIES | LIFE-STYLE INTERVENTION | MEDICINE, GENERAL & INTERNAL | RISK-FACTORS | CARDIOVASCULAR-DISEASE | IMPAIRED GLUCOSE-TOLERANCE | FOLLOW-UP | PREVALENCE | SCIENTIFIC STATEMENT | Diabetes Mellitus - blood | Hypoglycemic Agents - therapeutic use | Age Distribution | Prevalence | Global Health | Developing Countries - statistics & numerical data | Humans | Diabetes Mellitus - drug therapy | Cost of Illness | Male | Incidence | Health Surveys | Diabetes Mellitus - epidemiology | Age of Onset | Bayes Theorem | Sex Distribution | Adult | Female | Blood Glucose - metabolism | Insulin - therapeutic use | Research Report - standards | Diabetics | Analysis | VDP | Medisinske Fag: 700 | Klinisk medisinske fag: 750 | Clinical medical disciplines: 750 | Medical disciplines: 700 | Clinical Medicine | Medical and Health Sciences | Endokrinologi och diabetes | Klinisk medicin | Medicin och hälsovetenskap | Endocrinology and Diabetes | HNE Voeding en Gezondheid in de Levenscyclus | Wereldvoeding | VLAG | Chair Nutrition and Health over the Lifecourse | Global Nutrition | HNE Nutrition and Health over the Lifecourse
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9. Full Text Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants
by Di Cesare, Mariachiara and Bentham, James and Stevens, Gretchen A and Zhou, Bin and Danaei, Goodarz and Lu, Yuan and Bixby, Honor and Cowan, Melanie J and Riley, Leanne M and Hajifathalian, Kaveh and Fortunato, Léa and Taddei, Cristina and Bennett, James E and Ikeda, Nayu and Khang, Young-Ho and Kyobutungi, Catherine and Laxmaiah, Avula and Li, Yanping and Lin, Hsien-Ho and Miranda, J. Jaime and Mostafa, Aya and Turley, Maria L and Paciorek, Christopher J and Gunter, Marc and Ezzati, Majid and Abdeen, Ziad A and Hamid, Zargar Abdul and Abu-Rmeileh, Niveen M and Acosta-Cazares, Benjamin and Adams, Robert and Aekplakorn, Wichai and Aguilar-Salinas, Carlos A and Ahmadvand, Alireza and Ahrens, Wolfgang and Ali, Mohamed M and Alkerwi, Ala'a and Alvarez-Pedrerol, Mar and Aly, Eman and Amouyel, Philippe and Amuzu, Antoinette and Andersen, Lars Bo and Anderssen, Sigmund A and Andrade, Dolores S and Anjana, Ranjit Mohan and Aounallah-Skhiri, Hajer and Ariansen, Inger and Aris, Tahir and Arlappa, Nimmathota and Arveiler, Dominique and Assah, Felix K and Avdicová, Mária and Azizi, Fereidoun and Babu, Bontha V and Balakrishna, Nagalla and Bandosz, Piotr and Banegas, José R and Barbagallo, Carlo M and Barceló, Alberto and Barkat, Amina and Barros, Mauro V and Bata, Iqbal and Batieha, Anwar M and Batista, Rosangela L and Baur, Louise A and Beaglehole, Robert and Romdhane, Habiba Ben and Benet, Mikhail and Bernabe-Ortiz, Antonio and Bernotiene, Gailute and Bettiol, Heloisa and Bhagyalaxmi, Aroor and Bharadwaj, Sumit and Bhargava, Santosh K and Bhatti, Zaid and Bhutta, Zulfiqar A and Bi, HongSheng and Bi, Yufang and Bjerregaard, Peter and Bjertness, Espen and Bjertness, Marius B and Björkelund, Cecilia and Blake, Margaret and Blokstra, Anneke and Bo, Simona and Bobak, Martin and Boddy, Lynne M and Boehm, Bernhard O and Boeing, Heiner and Boissonnet, Carlos P and Bongard, Vanina and Bovet, Pascal and Braeckman, Lutgart and Bragt, Marjolijn C.E and Brajkovich, Imperia and Branca, Francesco and Breckenkamp, Juergen and Brenner, Hermann and Brewster, Lizzy M and Brian, Garry R and Bruno, Graziella and ... and NCD Risk Factor Collaboration NCD and Medicinska fakulteten and Institutionen för folkhälsa och klinisk medicin and Kardiologi and Umeå universitet
The Lancet, ISSN 0140-6736, 04/2016, Volume 387, Issue 10026, pp. 1377 - 1396
Background Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean... 
MORTALITY | MEDICINE, GENERAL & INTERNAL | OBESITY | RISK-FACTORS | INCOME | BIAS | OVERWEIGHT | EPIDEMIC | ASSOCIATION | CHILDREN | Measurement | Body mass index | Adults | Analysis | Hälsovetenskaper | Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi | Medical and Health Sciences | Medicin och hälsovetenskap | Public Health, Global Health, Social Medicine and Epidemiology | Health Sciences
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10. Full Text Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults
by Abarca-Gómez, Leandra and Abdeen, Ziad A and Hamid, Zargar Abdul and Abu-Rmeileh, Niveen M and Acosta-Cazares, Benjamin and Acuin, Cecilia and Adams, Robert J and Aekplakorn, Wichai and Afsana, Kaosar and Aguilar-Salinas, Carlos A and Agyemang, Charles and Ahmadvand, Alireza and Ahrens, Wolfgang and Ajlouni, Kamel and Akhtaeva, Nazgul and Al-Hazzaa, Hazzaa M and Al-Othman, Amani Rashed and Al-Raddadi, Rajaa and Al Buhairan, Fadia and Al Dhukair, Shahla and Ali, Osman and Ali, Mohamed M and Alkerwi, Ala'a and Alvarez-Pedrerol, Mar and Aly, Eman and Amarapurkar, Deepak N and Amouyel, Philippe and Amuzu, Antoinette and Andersen, Lars Bo and Anderssen, Sigmund A and Andrade, Dolores S and Ängquist, Lars H and Anjana, Ranjit Mohan and Aounallah-Skhiri, Hajer and Araújo, Joana and Ariansen, Inger and Aris, Tahir and Arlappa, Nimmathota and Arveiler, Dominique and Aryal, Krishna K and Aspelund, Thor and Assah, Felix K and Assunção, Maria Cecília F and Aung, May Soe and Avdicová, Mária and Azevedo, Ana and Azizi, Fereidoun and Babu, Bontha V and Bahijri, Suhad and Baker, Jennifer L and Balakrishna, Nagalla and Bamoshmoosh, Mohamed and Banach, Maciej and Bandosz, Piotr and Banegas, José R and Barbagallo, Carlo M and Barceló, Alberto and Barkat, Amina and Barros, Aluisio JD and Barros, Mauro VG and Bata, Iqbal and Batieha, Anwar M and Batista, Rosangela L and Batyrbek, Assembekov and Baur, Louise A and Beaglehole, Robert and Romdhane, Habiba Ben and Benedics, Judith and Benet, Mikhail and Bennett, James E and Bernabe-Ortiz, Antonio and Bernotiene, Gailute and Bettiol, Heloisa and Bhagyalaxmi, Aroor and Bharadwaj, Sumit and Bhargava, Santosh K and Bhatti, Zaid and Bhutta, Zulfiqar A and Bi, Hongsheng and Bi, Yufang and Biehl, Anna and Bikbov, Mukharram and Bista, Bihungum and Bjelica, Dusko J and Bjerregaard, Peter and Bjertness, Marius B and Bjertness, Espen and Björkelund, Cecilia and Blokstra, Anneke and Bo, Simona and Bobak, Martin and Boddy, Lynne M and Boehm, Bernhard O and Boeing, Heiner and Boggia, Jose G and Boissonnet, Carlos P and Bonaccio, Marialaura and Bongard, Vanina and Bovet, Pascal and Braeckevelt, Lien and ... and NCD Risk Factor Collaboration (NCD-RisC) and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Omvårdnad
The Lancet, ISSN 0140-6736, 12/2017, Volume 390, Issue 10113, pp. 2627 - 2642
Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to... 
Body Mass Index | Prevalence | Age Factors | Humans | Child, Preschool | Male | Young Adult | Thinness - epidemiology | Overweight - epidemiology | Obesity - epidemiology | Adolescent | Bayes Theorem | Global Health - statistics & numerical data | Sex Factors | Adult | Female | Child | Pediatric Obesity - epidemiology | Adolescence | Body mass index | Obesity | Infectious diseases | Body weight | Underweight | Population studies | Adults | Children | Adolescents | Weight | VDP | Medisinske Fag: 700 | Klinisk medisinske fag: 750 | Clinical medical disciplines: 750 | Medical disciplines: 700 | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
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