44 results on '"van Valkengoed, Irene G.M."'
Search Results
2. Sex and ethnic differences in unrecognized myocardial infarctions: Observations on recognition and preventive therapies from the multiethnic population-based HELIUS cohort
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Hummel, Bryn, van Oortmerssen, Julie A.E., Borst, CharlotteS.M., Harskamp, Ralf E., Galenkamp, Henrike, Postema, Pieter G., and van Valkengoed, Irene G.M.
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- 2024
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3. Education and age trajectories of chronic conditions: Are tests of the cumulative advantage and disadvantage hypothesis biased by underreporting?
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Leopold, Liliya, van Valkengoed, Irene G.M., and Engelhardt, Henriette
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- 2023
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4. The COVID-19 pandemic and temporal change in metabolic risk factors for cardiovascular disease: A natural experiment within the HELIUS study
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Hummel, Bryn, Yerkes, Mara A., Harskamp, Ralf E., Galenkamp, Henrike, Kunst, Anton E., Lok, Anja, and van Valkengoed, Irene G.M.
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- 2023
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5. Psychosocial factors may serve as additional eligibility criteria for cardiovascular risk screening in women and men in a multi-ethnic population: The HELIUS study
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Hummel, Bryn, Harskamp, Ralf E., Bolijn, Renee, Moll van Charante, Eric P., Galenkamp, Henrike, Mommersteeg, Paula M.C., and van Valkengoed, Irene G.M.
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- 2023
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6. The contribution of smoking to differences in cardiovascular disease incidence between men and women across six ethnic groups in Amsterdam, the Netherlands: The HELIUS study
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Bolijn, Renee, Muilwijk, Mirthe, Nicolaou, Mary, Galenkamp, Henrike, Stronks, Karien, Tan, Hanno L., Kunst, Anton E., and van Valkengoed, Irene G.M.
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- 2023
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7. Harmonization of the definition of sudden cardiac death in longitudinal cohorts of the European Sudden Cardiac Arrest network – towards Prevention, Education, and New Effective Treatments (ESCAPE-NET) consortium
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Warming, Peder Emil, Ågesen, Frederik Nybye, Lynge, Thomas Hadberg, Jabbari, Reza, Smits, Robin L.A., van Valkengoed, Irene G.M., Welten, Sabrina J.G.C., van der Heijden, Amber A., Elders, Petra J., Blom, Marieke T., Jouven, Xavier, Schwartz, Peter J., Albert, Christine M., Beulens, Joline W., Rutters, Femke, Tan, Hanno L., Empana, Jean-Philippe, and Tfelt-Hansen, Jacob
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- 2022
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8. Ethnic discrimination and depressed mood: The role of autonomic regulation
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Hagen, Julia M., Sutterland, Arjen L., Collard, Didier, de Jonge, Carien D.E., van Zuiden, Mirjam, Zantvoord, Jasper B., Tan, Hanno L., van Valkengoed, Irene G.M., van den Born, Bert Jan H., Zwinderman, Aeilko H., de Haan, Lieuwe, and Lok, Anja
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- 2021
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9. Sex and ethnic differences in unrecognized myocardial infarctions:Observations on recognition and preventive therapies from the multiethnic population-based HELIUS cohort
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Hummel, Bryn, van Oortmerssen, Julie A.E., Borst, Charlotte S.M., Harskamp, Ralf E., Galenkamp, Henrike, Postema, Pieter G., van Valkengoed, Irene G.M., Hummel, Bryn, van Oortmerssen, Julie A.E., Borst, Charlotte S.M., Harskamp, Ralf E., Galenkamp, Henrike, Postema, Pieter G., and van Valkengoed, Irene G.M.
- Abstract
Background: Epidemiological studies suggest sex differences in the prevalence and characteristics of unrecognized and recognized myocardial infarction (uMI, rMI). Despite increasingly diverse populations, observations are limited in multiethnic contexts. Gaining better understanding may inform policy makers and healthcare professionals on populations at risk of uMI who could benefit from preventive measures. Methods: We used baseline data from the multiethnic population-based HELIUS cohort (2011–2015; Amsterdam, the Netherlands). Using logistic regressions, we studied sex differences in the prevalence and proportion of uMIs across ethnic groups. Next, we studied whether symptoms, clinical parameters, and sociocultural factors were associated with uMIs. Finally, we compared secondary preventive therapies in women and men with a uMI or rMI. We relied on pathological Q-waves on a resting electrocardiogram as the electrocardiographic signature for (past) MI. Results: Overall, and in Turkish and Moroccan subgroups, the prevalence of uMIs was higher in men than women. The proportion of uMIs was similar in women (21.0%) and men (18.4%), yet varied by ethnicity. In women and men, symptoms (chest pain, dyspnea) and clinical parameters (hypertension, hypercholesterolemia), and in women also lower educational level and diabetes were associated with lower odds of uMIs. Women (0.0%) and men (3.6%) with uMI were unlikely to receive secondary preventive therapies compared to those with rMI (28.1–40.9%). Conclusions: The prevalence of uMIs was higher in men than women, and sex differences in the proportion of uMIs varied somewhat across ethnic groups. People with uMIs did not receive adequate preventative medications, posing a risk for recurrent events.
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- 2024
10. Sex Differences in Out‐of‐Hospital Cardiac Arrest Survival Trends
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Smits, Robin L.A., primary, Tan, Hanno L., additional, and van Valkengoed, Irene G.M., additional
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- 2024
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11. Socio-economic differences in incidence, bystander cardiopulmonary resuscitation and survival from out-of-hospital cardiac arrest: A systematic review
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van Nieuwenhuizen, Benjamin P., Oving, Iris, Kunst, Anton E., Daams, Joost, Blom, Marieke T., Tan, Hanno L., and van Valkengoed, Irene G.M.
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- 2019
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12. 416 Prediction of Long-Term Survival after Out-of-Hospital Cardiac Arrest using Disease, Social, and Resuscitation Characteristics in Denmark and the Netherlands
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Sødergren, Shaun Theodor Florentz, primary, Smits, Robin L.A., additional, Møller, Sidsel Gamborg, additional, Ersbøll, Annette Kjær, additional, Folke, Fredrik, additional, Torp-Pedersen, Christian Tobias, additional, van Valkengoed, Irene G.M., additional, and Tan, Hanno L., additional
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- 2023
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13. Socioeconomic differences in sympathovagal balance: the HELIUS study
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van Nieuwenhuizen, Benjamin P., Collard, Didier, Tan, Hanno L., Blom, Marieke T., van den Born, Bert Jan H., Kunst, Anton E., and van Valkengoed, Irene G.M.
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- 2020
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14. The COVID-19 pandemic and temporal change in metabolic risk factors for cardiovascular disease: A natural experiment within the HELIUS study
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Leerstoel Yerkes, Social Policy and Public Health, Hummel, Bryn, Yerkes, Mara A., Harskamp, Ralf E., Galenkamp, Henrike, Kunst, Anton E., Lok, Anja, van Valkengoed, Irene G.M., Leerstoel Yerkes, Social Policy and Public Health, Hummel, Bryn, Yerkes, Mara A., Harskamp, Ralf E., Galenkamp, Henrike, Kunst, Anton E., Lok, Anja, and van Valkengoed, Irene G.M.
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- 2023
15. Plasma Cholesteryl Ester Fatty Acids do not Mediate the Association of Ethnicity with Type 2 Diabetes: Results From the HELIUS Study
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Muilwijk, Mirthe, Celis‐Morales, Carlos, Nicolaou, Mary, Snijder, Marieke B., Gill, Jason M.R., and van Valkengoed, Irene G.M.
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- 2018
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16. Association Between Income and Risk of Out-of-Hospital Cardiac Arrest: A Retrospective Cohort Study
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van Nieuwenhuizen, Benjamin P., primary, Tan, Hanno L., additional, Blom, Marieke T., additional, Kunst, Anton E., additional, and van Valkengoed, Irene G.M., additional
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- 2022
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17. Sarcopenia and its relation to protein intake across older ethnic populations in the Netherlands: the HELIUS study
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Dorhout, Berber G., Overdevest, Elvera, Tieland, Michael, Nicolaou, Mary, Weijs, Peter J.M., Snijder, Marieke B., Peters, Ron J.G., Van Valkengoed, Irene G.M., Haveman-Nies, Annemien, De Groot, Lisette C.P.G.M., Dorhout, Berber G., Overdevest, Elvera, Tieland, Michael, Nicolaou, Mary, Weijs, Peter J.M., Snijder, Marieke B., Peters, Ron J.G., Van Valkengoed, Irene G.M., Haveman-Nies, Annemien, and De Groot, Lisette C.P.G.M.
- Abstract
Objective: To examine the prevalence of sarcopenia and its association with protein intake in men and women in a multi-ethnic population.Design: We used cross-sectional data from the HELIUS (Healthy Life in an Urban Setting) study, which includes nearly 25,000 participants (aged 18–70 years) of Dutch, South-Asian Surinamese, African Surinamese, Turkish, Moroccan, and Ghanaian ethnic origin. For the current study, we included 5161 individuals aged 55 years and older. Sarcopenia was defined according to the EWGSOP2. In a subsample (N = 1371), protein intake was measured using ethnic-specific Food Frequency Questionnaires. Descriptive analyses were performed to study sarcopenia prevalence across ethnic groups in men and women, and logistic regression analyses were used to study associations between protein intake and sarcopenia.Results: Sarcopenia prevalence was found to be sex- and ethnic-specific, varying from 29.8% in Turkish to 61.3% in South-Asian Surinamese men and ranging from 2.4% in Turkish up to 30.5% in South-Asian Surinamese women. Higher protein intake was associated with a 4% lower odds of sarcopenia in the subsample (OR = 0.96, 95%-CI: 0.92–0.99) and across ethnic groups, being only significant in the South-Asian Surinamese group.Conclusion: Ethnic differences in the prevalence of sarcopenia and its association with protein intake suggest the need to target specific ethnic groups for prevention or treatment of sarcopenia.
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- 2022
18. The association between gender-related characteristics and type 2 diabetes risk in a multi-ethnic population: The HELIUS study
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Muilwijk, Mirthe, primary, Bolijn, Renee, additional, Galenkamp, Henrike, additional, Stronks, Karien, additional, Moll van Charante, Eric, additional, and van Valkengoed, Irene G.M., additional
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- 2022
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19. Sex differences in incidence of out-of-hospital cardiac arrest across ethnic and socioeconomic groups: A population-based cohort study in the Netherlands
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Bolijn, Renee, primary, Sieben, Cenne H.A.M., additional, Kunst, Anton E., additional, Blom, Marieke, additional, Tan, Hanno L., additional, and van Valkengoed, Irene G.M., additional
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- 2021
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20. Dietary Protein Intake in Older Adults from Ethnic Minorities in the Netherlands, a Mixed Methods Approach
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Overdevest, Elvera, Dorhout, Berber G., Nicolaou, Mary, Van Valkengoed, Irene G.M., Haveman-Nies, Annemien, Oztürk, Halime, De Groot, Lisette C.P.G.M., Tieland, Michael, Weijs, Peter J.M., Overdevest, Elvera, Dorhout, Berber G., Nicolaou, Mary, Van Valkengoed, Irene G.M., Haveman-Nies, Annemien, Oztürk, Halime, De Groot, Lisette C.P.G.M., Tieland, Michael, and Weijs, Peter J.M.
- Abstract
Optimizing protein intake is a novel strategy to prevent age associated loss of muscle mass and strength in older adults. Such a strategy is still missing for older adults from ethnic minority populations. Protein intake in these populations is expected to be different in comparison to the majority of the population due to several socio-cultural factors. Therefore, the present study examined the dietary protein intake and underlying behavioral and environmental factors affecting protein intake among older adults from ethnic minorities in the Netherlands. We analyzed frequency questionnaire (FFQ) data from the Healthy Life in an Urban Setting (HELIUS) cohort using ANCOVA to describe dietary protein intake in older adults from ethnic minorities in the Netherlands (N = 1415, aged >55 years, African Surinamese, South Asian Surinamese, Moroccan, and Turkish). Additionally, we performed focus groups among older adults from the same ethnic minority populations (N = 69) to discover behavioral and environmental factors affecting protein intake; 40–60% of the subjects did not reach minimal dietary protein recommendations needed to maintain muscle mass (1.0 g/kg bodyweight per day (BW/day)), except for Turkish men (where it was 91%). The major sources of protein originated from animal products and were ethnic specific. Participants in the focus groups showed little knowledge and awareness about protein and its role in aging. The amount of dietary protein and irregular eating patterns seemed to be the major concern in these populations. Optimizing protein intake in these groups requires a culturally sensitive approach, which accounts for specific protein product types and sociocultural factors.
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- 2021
21. Gender-related characteristics and disparities in estimated cardiovascular disease risk in a multi-ethnic general population: The HELIUS study
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Bolijn, Renee, primary, Perini, Wilco, additional, Tan, Hanno L., additional, Galenkamp, Henrike, additional, Kunst, Anton E., additional, and van Valkengoed, Irene G.M., additional
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- 2021
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22. Sex Differences in the Association Between Serum Ferritin and Fasting Glucose in Type 2 Diabetes Among South Asian Surinamese, African Surinamese, and Ethnic Dutch: The population-based SUNSET study
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Dekker, Louise H., Nicolaou, Mary, van der A, Daphne L., Busschers, Wim B., Brewster, Lizzy M., Snijder, Marieke B., Stronks, Karien, and van Valkengoed, Irene G.M.
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- 2013
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23. Ethnic differences in discrepancies between self-reported and measured weight, height and body mass index
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van Valkengoed, Irene G.M., Nicolaou, Mary, and Stronks, Karien
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- 2011
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24. Socioeconomic Differences in Sympathovagal Balance: The Healthy Life in an Urban Setting Study
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van Nieuwenhuizen, Benjamin P., primary, Collard, Didier, additional, Tan, Hanno L., additional, Blom, Marieke T., additional, van den Born, Bert-Jan H., additional, Kunst, Anton E., additional, and van Valkengoed, Irene G.M., additional
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- 2020
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25. The iHealth-T2D study: Statistical analysis plan for a cluster randomised controlled trial with intensive family-based lifestyle modification programme to reduce type 2 diabetes risk amongst South Asians
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Muilwijk, Mirthe, primary, Loh, Marie, additional, Mahmood, Sara, additional, Palaniswamy, Saranya, additional, Siddiqui, Samreen, additional, Silva, Wnurinham, additional, Frost, Gary S., additional, Gage, Heather M., additional, Jarvelin, Marjo-Riitta, additional, Rannan-Eliya, Ravindra P., additional, Ahmed, Sajjad, additional, Jha, Sujeet, additional, Kasturiratne, Anuradhani, additional, Katulanda, Prasad, additional, Khawaja, Khadija I., additional, Kooner, Jaspal S., additional, Wickremasinghe, Ananda R., additional, van Valkengoed, Irene G.M., additional, and Chambers, John C., additional
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- 2020
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26. Association Between CNDP1 Genotype and Diabetic Nephropathy Is Sex Specific
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Mooyaart, Antien L., Zutinic, Ana, Bakker, Stephan J.L., Grootendorst, Diana C., Kleefstra, Nanne, van Valkengoed, Irene G.M., Böhringer, Stefan, Bilo, Henk J.G., Dekker, Friedo W., Bruijn, Jan Anthonie, Navis, Gerjan, Janssen, Bart, Baelde, Hans J., and De Heer, Emile
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- 2010
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27. Women have lower chances thanmen to be resuscitated and survive out-of-hospital cardiac arrest
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Blom, Marieke T., Oving, Iris, Berdowski, Jocelyn, van Valkengoed, Irene G.M., Bardai, Abdenasser, and Tan, Hanno L.
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Aims: Previous studies on sex differences in out-of-hospital cardiac arrest (OHCA) had limited scope and yielded conflicting results. We aimed to provide a comprehensive overall view on sex differences in care utilization, and outcome of OHCA. Methods and results: We performed a population-based cohort-study, analysing all emergency medical service (EMS) treated resuscitation attempts in one province of the Netherlands (2006–2012). We calculated odds ratios (ORs) for the association of sex and chance of a resuscitation attempt by EMS, shockable initial rhythm (SIR), and in-hospital treatment using logistic regression analysis. Additionally, we provided an overview of sex differences in overall survival and survival at successive stages of care, in the entire study population and in patients with SIR. We identified 5717 EMS-treated OHCAs (28.0% female). Women with OHCA were less likely than men to receive a resuscitation attempt by a bystander (67.9% vs. 72.7%; P < 0.001), even when OHCA was witnessed (69.2% vs. 73.9%; P < 0.001). Women who were resuscitated had lower odds than men for overall survival to hospital discharge [OR 0.57; 95% confidence interval (CI) 0.48–0.67; 12.5% vs. 20.1%; P < 0.001], survival from OHCA to hospital admission (OR 0.88; 95% CI 0.78–0.99; 33.6% vs. 36.6%; P = 0.033), and survival from hospital admission to discharge (OR 0.49, 95% CI 0.40– 0.60; 33.1% vs. 51.7%). This was explained by a lower rate of SIR in women (33.7% vs. 52.7%; P < 0.001). After adjustment for resuscitation parameters, female sex remained independently associated with lower SIR rate. Conclusion: In case of OHCA, women are less often resuscitated by bystanders than men. When resuscitation is attempted, women have lower survival rates at each successive stage of care. These sex gaps are likely explained by lower rate of SIR in women, which can only partly be explained by resuscitation characteristics.
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- 2019
28. Does a high sugar high fat dietary pattern explain the unequal burden in prevalence of type 2 diabetes in a multi-ethnic population in the Netherlands? The HELIUS study
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Huisman, Merel J., Soedamah-Muthu, Sabita S., Vermeulen, Esther, Muilwijk, Mirthe, Snijder, Marieke B., Nicolaou, Mary N., Van Valkengoed, Irene G.M., Huisman, Merel J., Soedamah-Muthu, Sabita S., Vermeulen, Esther, Muilwijk, Mirthe, Snijder, Marieke B., Nicolaou, Mary N., and Van Valkengoed, Irene G.M.
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The risk for type 2 diabetes (T2D) in ethnic minorities in Europe is higher in comparison with their European host populations. The western dietary pattern, characterized by high amounts of sugar and saturated fat (HSHF dietary pattern), has been associated with a higher risk for T2D. Information on this association in minority populations is scarce. Therefore, we aimed to investigate the HSHF dietary pattern and its role in the unequal burden of T2D prevalence in a multi-ethnic population in The Netherlands. We included 4694 participants aged 18-70 years of Dutch, South-Asian Surinamese, African Surinamese, Turkish, and Moroccan origin from the HELIUS study. Dutch participants scored the highest on the HSHF dietary pattern, followed by the Turkish, Moroccan, African Surinamese, and South-Asian Surinamese participants. Prevalence ratios (PR) for T2D were then calculated using multivariate cox regression analyses, adjusted for sociodemographic, anthropometric, and lifestyle factors. Higher adherence to an HSHF diet was not significantly related to T2D prevalence in the total study sample (PR 1.04 high versus low adherence, 95% CI: 0.80-1.35). In line, adjustment for HSHF diet score did not explain the ethnic differences in T2D. For instance, the PR of the South-Asian Surinamese vs. Dutch changed from 2.76 (95% CI: 2.05-3.72) to 2.90 (95% CI: 2.11-3.98) after adjustment for HSHF. To conclude, a western dietary pattern high in sugar and saturated fat was not associated with T2D, and did not explain the unequal burden in prevalence of T2D across the ethnic groups.
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- 2018
29. Plasma Cholesteryl Ester Fatty Acids do not Mediate the Association of Ethnicity with Type 2 Diabetes: Results From the HELIUS Study
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Muilwijk, Mirthe, primary, Celis‐Morales, Carlos, additional, Nicolaou, Mary, additional, Snijder, Marieke B., additional, Gill, Jason M.R., additional, and van Valkengoed, Irene G.M., additional
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- 2017
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30. Socioeconomic Differences in Sympathovagal Balance: The Healthy Life in an Urban Setting Study
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van Nieuwenhuizen, Benjamin P., Collard, Didier, Tan, Hanno L., Blom, Marieke T., van den Born, Bert-Jan H., Kunst, Anton E., and van Valkengoed, Irene G.M.
- Abstract
Supplemental digital content is available in the text.
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- 2021
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31. The role of body weight, fat distribution and weight change in ethnic differences in the 9-year incidence of hypertension
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Grootveld, Laura R., primary, Van Valkengoed, Irene G.M., additional, Peters, Ron J.G., additional, Ujcic-Voortman, Joanne K., additional, Brewster, Lizzy M., additional, Stronks, Karien, additional, and Snijder, Marieke B., additional
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- 2014
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32. Association Between Income and Risk of Out-of-Hospital Cardiac Arrest: A Retrospective Cohort Study.
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van Nieuwenhuizen, Benjamin P., Tan, Hanno L., Blom, Marieke T., Kunst, Anton E., and van Valkengoed, Irene G.M.
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Background: Previous studies have observed a higher out-of-hospital cardiac arrest (OHCA) risk among lower socioeconomic groups. However, due to the cross-sectional and ecological designs used in these studies, the magnitude of these inequalities is uncertain. This study is the first to assess the individual-level association between income and OHCA using a large-scale longitudinal study. Methods: This retrospective cohort study followed 1 688 285 adults aged 25 and above, living in the catchment area of an OHCA registry in a Dutch province. OHCA cases (n=5493) were linked to demographic and income registries. Cox proportional hazard models were conducted to determine hazard ratios of OHCA for household and personal income quintiles, stratified by sex and age. Results: The total incidence of OHCA per 100 000 person years was 30.9 in women and 87.1 in men. A higher OHCA risk was observed with lower household and personal income. Compared with the highest household income quintile, the adjusted hazard ratios from the second highest to the lowest household income quintiles ranged from 1.24 (CI=1.01–1.51) to 1.75 (CI=1.46–2.10) in women and from 0.95 (CI=0.68–1.34) to 2.30 (CI=1.74–3.05) in men. For personal income, this ranged from 0.95 (CI=0.68–1.34) to 2.30 (CI=1.74–3.05) in women and between 1.28 (CI=1.16–1.42) and 1.68 (CI=1.48–1.89) in men. Comparable household and personal income gradients were found across age groups except in the highest (>84 years) age group. For example, household income in women aged 65 to 74 ranged from 1.25 (CI=1.02–1.52) to 1.65 (CI=1.36–2.00). Sensitivity analyses assessing the prevalence of comorbidities at baseline and different lengths of follow-up yielded similar estimates. Conclusions: This study provides new evidence for a substantial increase in OHCA risk with lower income in different age and sex groups. Low-income groups are likely to be a suitable target for intervention strategies to reduce OHCA risk. [ABSTRACT FROM AUTHOR]
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- 2023
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33. The angiotensin converting enzyme insertion/deletion polymorphism and differences in fasting plasma glucose in Hindustani Surinamese, African Surinamese and ethnic Dutch: The population-based SUNSET-study
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van Valkengoed, Irene G.M., Stronks, Karien, Hahntow, Ines N., Hoekstra, Joost B.L., and Holleman, Frits
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- 2008
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34. Vitamin D status partly explains ethnic differences in blood pressure
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Kohli, Nupur R., primary, Van Valkengoed, Irene G.M., additional, Nicolaou, Mary, additional, Brewster, Lizzy M., additional, Van Der A, Daphne L., additional, Stronks, Karien, additional, and Snijder, Marieke B., additional
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- 2012
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35. Newly Proposed Body Adiposity Index (BAI) by Bergman et al . Is Not Strongly Related to Cardiovascular Health Risk
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Snijder, Marieke B., primary, Nicolaou, Mary, additional, van Valkengoed, Irene G.M., additional, Brewster, Lizzy M., additional, and Stronks, Karien, additional
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- 2012
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36. Immunological Analysis of Treatment Interruption After Early Highly Active Antiretroviral Therapy
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Schellens, Ingrid M.M., primary, Pogany, Katalin, additional, Westerlaken, Geertje H.A., additional, Borghans, José A.M., additional, Miedema, Frank, additional, van Valkengoed, Irene G.M., additional, Kroon, Frank P., additional, Lange, Joep M.A., additional, Brinkman, Kees, additional, Prins, Jan M., additional, and van Baarle, Debbie, additional
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- 2010
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37. Transient Lowering of the Viral Set Point After Temporary Antiretroviral Therapy of Primary HIV Type 1 Infection
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Steingrover, Radjin, primary, Garcia, Evian Fernandez, additional, van Valkengoed, Irene G.M., additional, Bekker, Vincent, additional, Bezemer, Daniela, additional, Kroon, Frank P., additional, Dekker, Linda, additional, Prins, Maria, additional, de Wolf, Frank, additional, Lange, Joep M.A., additional, and Prins, Jan M., additional
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- 2010
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38. Are RGS2 Gene Polymorphisms Associated With High Blood Pressure in an Ethnicity- and Gender-Specific Manner?
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Hahntow, Ines N., primary, Mairuhu, Gideon, additional, van Valkengoed, Irene G.M., additional, Baas, Frank, additional, Alewijnse, Astrid E., additional, Koopmans, Richard P., additional, and Michel, Martin C., additional
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- 2009
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39. Disappointing performance of literature-derived selective screening criteria for asymptomatic Chlamydia trachomatis infection in an inner-city population.
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Van Valkengoed, Irene G.M., Boeke, A. Joan P., van Valkengoed, I G, Boeke, A J, Morré, S A, van den Brule, A J, Meijer, C J, Devillé, W, and Bouter, L M
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CHLAMYDIA trachomatis , *MEDICAL screening - Abstract
Background: In an inner-city population with a low prevalence of Chlamydia trachomatis infection, selective screening may be indicated to increase the efficiency of screening.Goal: To evaluate the performance of sets of selective screening criteria for asymptomatic Chlamydia trachomatis infection in an inner-city population. The criteria were derived from reports of studies carried out in various settings.Study Design: A total of 5714 women age 15 to 40 years living in Amsterdam were invited for a screening based on home-obtained urine specimens. Criteria identified from the literature were applied to the screening population. A calculated area under the receiver-operator characteristic curve (AUC) of greater than 0.75 was considered a good measure of diagnostic accuracy.Results: Of the four sets of criteria, selection based on the following determinants showed the highest diagnostic accuracy: younger than 25 years, being unmarried, number of partners during the previous 6 months, Surinam or Antillean origin (black), and vaginal douching (AUC, 0.67; 95% CI, 0.65-0.69). Selection based on age alone showed an AUC of 0.57 (95% CI, 0.55-0.69).Conclusion: The performance of selective screening criteria for asymptomatic C trachomatis infection in an inner-city population in Amsterdam was insufficient to recommend its implementation in practice. [ABSTRACT FROM AUTHOR]- Published
- 2000
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40. Socio-economic differences in incidence, bystander cardiopulmonary resuscitation and survival from out-of-hospital cardiac arrest: A systematic review
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van Nieuwenhuizen, Benjamin P., Oving, Iris, Kunst, Anton E., Daams, Joost, Blom, Marieke T., Tan, Hanno L., and van Valkengoed, Irene G.M.
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education ,population characteristics ,social sciences ,3. Good health - Abstract
Background 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 explored whether SES disparities in OHCA mortality manifest in the incidence of OHCA, the chance of receiving bystander cardiopulmonary resuscitation (CPR) or in the chance of surviving an OHCA. We also studied whether sex and age differences exist in such SES disparities. Methods The Medline, Embase and Scopus databases were searched from 01-01-1993 until 31-01-2019. Studies utilising any study design or population were included. Studies were included if the exposure was SES of the OHCA victim or the OHCA location and the outcome was either OHCA incidence, CPR provision and/or survival rate after OHCA. Study selection and quality assessment were conducted by two reviewers independently. Descriptive data and measures of association were extracted, both in the total study population and in subgroups stratified by age and/or sex. This review was carried out following the PRISMA guidelines. Results Overall 32 studies were included. Twelve studies reported on OHCA incidence, thirteen on bystander CPR provision and fourteen on survival. Some evidence for SES differences was found in each identified stage. In all the studies on incidence, SES was measured over the area of the OHCA victims’ residence and was consistently associated with OHCA. In studies on bystander CPR, SES of the area in which the OHCA occurred was associated with bystander CPR, while evidence on individual SES was lacking. In studies on OHCA survival, SES of the victim measured at the individual level and SES of the area in which the OHCA occurred were associated, while SES of the victim, measured at the area of residence was not. Studies reporting age and sex differences in the SES trends were scarce. Conclusion SES disparities in OHCA mortality likely manifest in OHCA incidence, bystander CPR provision and survival rate after OHCA. However, there is a distinct lack of data on SES measured at the individual level and on differences within subgroups, e.g. by sex and age.
41. Socio-economic differences in incidence, bystander cardiopulmonary resuscitation and survival from out-of-hospital cardiac arrest: A systematic review
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van Nieuwenhuizen, Benjamin P., Oving, Iris, Kunst, Anton E., Daams, Joost, Blom, Marieke T., Tan, Hanno L., and van Valkengoed, Irene G.M.
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education ,social sciences ,3. Good health - Abstract
Background 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 explored whether SES disparities in OHCA mortality manifest in the incidence of OHCA, the chance of receiving bystander cardiopulmonary resuscitation (CPR) or in the chance of surviving an OHCA. We also studied whether sex and age differences exist in such SES disparities. Methods The Medline, Embase and Scopus databases were searched from 01-01-1993 until 31-01-2019. Studies utilising any study design or population were included. Studies were included if the exposure was SES of the OHCA victim or the OHCA location and the outcome was either OHCA incidence, CPR provision and/or survival rate after OHCA. Study selection and quality assessment were conducted by two reviewers independently. Descriptive data and measures of association were extracted, both in the total study population and in subgroups stratified by age and/or sex. This review was carried out following the PRISMA guidelines. Results Overall 32 studies were included. Twelve studies reported on OHCA incidence, thirteen on bystander CPR provision and fourteen on survival. Some evidence for SES differences was found in each identified stage. In all the studies on incidence, SES was measured over the area of the OHCA victims’ residence and was consistently associated with OHCA. In studies on bystander CPR, SES of the area in which the OHCA occurred was associated with bystander CPR, while evidence on individual SES was lacking. In studies on OHCA survival, SES of the victim measured at the individual level and SES of the area in which the OHCA occurred were associated, while SES of the victim, measured at the area of residence was not. Studies reporting age and sex differences in the SES trends were scarce. Conclusion SES disparities in OHCA mortality likely manifest in OHCA incidence, bystander CPR provision and survival rate after OHCA. However, there is a distinct lack of data on SES measured at the individual level and on differences within subgroups, e.g. by sex and age.
42. Re: Duplicate publication.
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Boeke, A. Joan P., van Valkengoed, Irene G.M., Morre, Servaas A., van den Brule, Adriaan J.C., Deville, Walter, Meijer, Chris J.L.M., Bouter, Lex M., Boeke, A J, van Valkengoed, I G, Morré, S A, van den Brule, A J, Devillé, W, Meijer, C J, and Bouter, L M
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RESEARCH , *CHLAMYDIA infections , *PUBLISHING - Abstract
Presents the response of the authors on the issue of duplicate publication regarding the research for Chlamydia trachomatis infection in Amsterdam, Netherlands. Discussion on the objectives of the two papers; Determination of diagnostic accuracy; Explanation on the absence of references.
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43. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
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Ahmad F, Yusoff, Muhammad Fadhli M, Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingffeng, Zimmermann, Esther, Cisneros, Julio Zuñiga, Zhu, Dan, and Eggertsen, Robert
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presión sanguínea ,hypertension ,Settore MED/09 - Medicina Interna ,united-states ,humanos ,Blood Pressure ,systematic analysis ,Global Health ,Risk Factors ,General & Internal Medicine ,Prevalence ,factores de riesgo ,Humans ,secular trends ,cardiovascular risk-factors ,Medicine (all) ,global burden ,prevalencia ,Bayes Theorem ,gender-differences ,purl.org/pe-repo/ocde/ford#3.02.00 [https] ,sodium-intake ,health examination surveys ,low-income ,teorema de Bayes - Abstract
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7-128.3) in men and 122.3 mm Hg (121.0-123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9-79.5) for men and 76.7 mm Hg (75.9-77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4-27.1) in men and 20.1% (17.8-22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1.13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust., Wellcome Trust.
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- 2017
44. Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
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Shyong, Tarawneh, Mohammed, Tarqui-Mamani, Carolina B., Thijs, Lutgarde, Tolstrup, Janne S., Topbas, Murat, Torrent, Maties, Traissac, Pierre, Trinh, Oanh T. H., Tulloch-Reid, Marshall K., Tuomainen, Tomi-Pekka, Turley, Maria L., Tzourio, Christophe, Ueda, Peter, Ukoli, Flora M., Ulmer, Hanno, Valdivia, Gonzalo, Van Valkengoed, Irene G. M., Vanderschueren, Dirk, Vanuzzo, Diego, Vega, Tomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, Monique, Vioque, Jesus, Virtanen, Jyrki, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Wade, Alisha N., Wagner, Aline, Walton, Janette, Mohamud, Wan Nazaimoon Wan, Wang, Ming-Dong, Wang, Ya Xing, Wannamethee, S. Goya, Weerasekera, Deepa, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Wojtyniak, Bogdan, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Aleksander Giwercman, Wu, Frederick C., Wu, Shou Ling, Xu, Haiquan, Yang, Xiaoguang, Ye, Xingwang, Yoshihara, Akihiro, Younger-Coleman, Novie O., Zambon, Sabina, Zargar, Abdul Hamid, Zdrojewski, Tomasz, Zhao, Wenhua, Zheng, Yingfeng, NCD Risk Factor Collaboration (NCD-RisC), Epidemiology, Radiology & Nuclear Medicine, General Internal Medicine, Landsteiner Laboratory, APH - Amsterdam Public Health, Public and occupational health, Danaei, Goodarz, Fahimi, Saman, Lu, Yuan, Zhou, Bin, Hajifathalian, Kaveh, Cesare, Mariachiara Di, Lo, Wei-Cheng, Reis-Santos, Barbara, Cowan, Melanie J., Shaw, Jonathan E., Bentham, Jame, Lin, John K., Bixby, Honor, Magliano, Dianna, Bovet, Pascal, Miranda, J. Jaime, Khang, Young-Ho, Stevens, Gretchen A., Riley, Leanne M., Ali, Mohammed K., Ezzati, Majid, Kadir, Khalid Abdul, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Aekplakorn, Wichai, Aguilar-Salinas, Carlos A., Ahmadvand, Alireza, Nsour, Mohannad Al, Alkerwi, Ala'a, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A., Andrade, Dolores S., Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Assah, Felix K., Avdicová, Mária, Balakrishna, Nagalla, Bandosz, Piotr, Barbagallo, Carlo M., Alberto Barceló, null, Batieha, Anwar M., Baur, Louise A., Romdhane, Habiba Ben, Bernabe-Ortiz, Antonio, Bhargava, Santosh K., Bi, Yufang, Bjerregaard, Peter, Björkelund, Cecilia, Blake, Margaret, Blokstra, Anneke, Bo, Simona, Boehm, Bernhard O., Boissonnet, Carlos P., Brajkovich, Imperia, Breckenkamp, Juergen, Brewster, Lizzy M., Brian, Garry R., Bruno, Graziella, Bugge, Anna, de León, Antonio Cabrera, Can, Gunay, Cândido, Ana Paula C, Capuano, Vincenzo, Carvalho, Maria J., Casanueva, Felipe F., Caserta, Carmelo A., Castetbon, Katia, Chamukuttan, Snehalatha, Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Shuohua, Cheng, Ching-Yu, Chetrit, Angela, Chiou, Shu-Ti, Cho, Yumi, Chudek, Jerzy, Cifkova, Renata, Claessens, Frank, Concin, Han, Cooper, Cyru, Cooper, Rachel, Costanzo, Simona, Cottel, Dominique, Cowell, Chri, Crujeiras, Ana B., D'Arrigo, Graziella, Dallongeville, Jean, Dankner, Rachel, Dauchet, Luc, de Gaetano, Giovanni, de Henauw, Stefaan, Deepa, Mohan, Dehghan, Abba, Dhana, Klodian, Di Castelnuovo, Augusto F., Djalalinia, Shirin, Doua, Kouamelan, Drygas, Wojciech, Du, Yong, Egbagbe, Eruke E., Eggertsen, Robert, Ati, Jalila El, Elosua, Roberto, Erasmus, Rajiv T., Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Escobedo-de la Peña, Jorge, Fall, Caroline H., Farzadfar, Farshad, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernández-Bergés, Daniel, Ferrari, Marika, Ferreccio, Catterina, Finn, Joseph D., Föger, Bernhard, Foo, Leng Huat, Fouad, Heba M., Francis, Damian K., do Carmo Franco, Maria, Franco, Oscar H., Frontera, Guillermo, Furusawa, Takuro, Gaciong, Zbigniew, Galbarczyk, Andrzej, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Geleijnse, Johanna M., Ghasemain, Anoosheh, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Gross, Marcela Gonzalez, González Rivas, Juan P., Gorbea, Mariano Bonet, Gottrand, Frederic, Grant, Janet F., Grodzicki, Tomasz, Grøntved, Ander, Gruden, Grabriella, Gu, Dongfeng, Guan, Ong Peng, Guerrero, Ramiro, Guessous, Idri, Guimaraes, Andre L., Gutierrez, Laura, Hardy, Rebecca, Kumar, Rachakulla Hari, He, Jiang, Heidemann, Christin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C., Hofman, Albert, Russo Horimoto, Andrea R.V., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Hussieni, Abdullatif S., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Ikeda, Nayu, Ikram, Arfan M., Irazola, Vilma E., Islam, Muhammad, Iwasaki, Masanori, Jacobs, Jeremy M., Jafar, Tazeen, Jasienska, Grazyna, Jiang, Chao Qiang, Jonas, Jost B., Joshi, Pradeep, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kasaeian, Amir, Katz, Joanne, Kaur, Prabhdeep, Kavousi, Maryam, Kelishadi, Roya, Kengne, Andre P., Kersting, Mathilde, Khader, Yousef Saleh, Kiechl, Stefan, Kim, Jeongseon, Kiyohara, Yutaka, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kratzer, Wolfgang, Kromhout, Daan, Kula, Krzysztof, Kurjata, Pawel, Kyobutungi, Catherine, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Laxmaiah, Avula, Leclercq, Catherine, Lee, Jeannette, Lee, Jeonghee, Lehtimäki, Terho, Lekhraj, Rampal, León-Muñoz, Luz M., Li, Yanping, Lim, Wei-Yen, Fernanda Lima-Costa, M., Lin, Hsien-Ho, Lin, Xu, Lissner, Lauren, Lorbeer, Roberto, Lozano, José Eugenio, Lundqvist, Annamari, Lytsy, Per, Ma, Guansheng, Machado-Coelho, George L.L., Machi, Suka, Maggi, Stefania, Makdisse, Marcia, Rao, Kodavanti Mallikharjuna, Manios, Yanni, Manzato, Enzo, Margozzini, Paula, Marques-Vidal, Pedro, Martorell, Reynaldo, Masoodi, Shariq R., Matsha, Tandi E., Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McLachlan, Stela, McNulty, Breige A., Mediene-Benchekor, Sounnia, Meirhaeghe, Aline, Menezes, Ana Maria B., Merat, Shahin, Meshram, Indrapal I., Mi, Jie, Miquel, Juan Francisco, Mohamed, Mostafa K., Mohammad, Kazem, Mohan, Viswanathan, Yusoff, Muhammad Fadhli Mohd, Moller, Niels C., Molnar, Dene, Mondo, Charles K., Moreno, Luis A., Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota, Jorge, Muiesan, Maria L., Müller-Nurasyid, Martina, Mursu, Jaakko, Nagel, Gabriele, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Navarrete-Muñoz, Eva Maria, Ndiaye, Ndeye Coumba, Nervi, Flavio, Nguyen, Nguyen D., Nieto-Martínez, Ramfis E., Ning, Guang, Ninomiya, Toshiharu, Noale, Marianna, Noto, Davide, Ochoa-Avilés, Angélica M., Oh, Kyungwon, Onat, Altan, Osmond, Clive, Otero, Johanna A., Palmieri, Luigi, Panda-Jonas, Songhomitra, Panza, Francesco, Parsaeian, Mahboubeh, Peixoto, Sergio Viana, Pereira, Alexandre C., Peters, Annette, Peykari, Niloofar, Pilav, Aida, Pitakaka, Freda, Piwonska, Aleksandra, Piwonski, Jerzy, Plans-Rubió, Pedro, Porta, Miquel, Portegies, Marileen L.P., Poustchi, Hossein, Pradeepa, Rajendra, Price, Jacqueline F., Punab, Margu, Qasrawi, Radwan F., Qorbani, Mostafa, Raitakari, Olli, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Rafel, Rampal, Sanjay, Rathmann, Wolfgang, Redon, Josep, Reganit, Paul Ferdinand M., Rigo, Fernando, Robinson, Sian M., Robitaille, Cynthia, Rodríguez, Laura A., Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rojas-Martinez, Rosalba, Romaguera, Dora, Rosengren, Annika, Rubinstein, Adolfo, Rui, Ornela, Ruiz-Betancourt, Blanca Sandra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S., Saidi, Olfa, Sakarya, Sibel, Salanave, Benoit, Salonen, Jukka T., Salvetti, Massimo, Sánchez-Abanto, Jose, dos Santos, Renata Nune, Santos, Rute, Sardinha, Luis B., Scazufca, Marcia, Schargrodsky, Herman, Scheidt-Nave, Christa, Shibuya, Kenji, Shin, Youchan, Shiri, Rahman, Siantar, Rosalynn, Sibai, Abla M., Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, Snijder, Marieke B., Solfrizzi, Vincenzo, Sonestedt, Emily, Soumare, Aicha, Staessen, Jan A., Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stessman, Jochanan, Stöckl, Dori, Stokwiszewski, Jakub, Strufaldi, Maria Wany, Sun, Chien-An, Sundström, Johan, Suriyawongpaisal, Paibul, Sy, Rody G., Tai, E Shyong, Tarawneh, Mohammed, Tarqui-Mamani, Carolina B., Thijs, Lutgarde, Tolstrup, Janne S., Topbas, Murat, Torrent, Matie, Traissac, Pierre, Trinh, Oanh T.H., Tulloch-Reid, Marshall K., Tuomainen, Tomi-Pekka, Turley, Maria L., Tzourio, Christophe, Ueda, Peter, Ukoli, Flora M., Ulmer, Hanno, Valdivia, Gonzalo, van Valkengoed, Irene G.M., Vanderschueren, Dirk, Vanuzzo, Diego, Vega, Toma, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, Monique, Vioque, Jesu, Virtanen, Jyrki, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vollenweider, Peter, Voutilainen, Sari, Wade, Alisha N., Wagner, Aline, Walton, Janette, Mohamud, Wan Nazaimoon Wan, Wang, Ming-Dong, Wang, Ya Xing, Wannamethee, S Goya, Weerasekera, Deepa, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Wojtyniak, Bogdan, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Aleksander Giwercman, Wu, Frederick C., Wu, Shou Ling, Xu, Haiquan, Yang, Xiaoguang, Ye, Xingwang, Yoshihara, Akihiro, Younger-Coleman, Novie O., Zambon, Sabina, Zargar, Abdul Hamid, Zdrojewski, Tomasz, Zhao, Wenhua, Zheng, Yingfeng, and Wellcome Trust
- Subjects
Male ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Global Health ,0302 clinical medicine ,Endocrinology ,education.field_of_study ,Diabetis ,purl.org/pe-repo/ocde/ford#3.02.18 [https] ,Diabetes Mellitus/blood/diagnosis/epidemiology ,Sciences bio-médicales et agricoles ,adulto ,sensibilidad y especificidad ,health survey ,3. Good health ,priority journal ,CARDIOVASCULAR-DISEASE ,diabetes mellitus ,medicine.medical_specialty ,glucosa sanguínea ,Survey sampling ,oral glucose tolerance test ,Medical sciences ,Sensitivity and Specificity ,Article ,Internal Medicine ,Effects of diabetes ,Hemoglobin A, Glycosylated/metabolism ,03 medical and health sciences ,false positive result ,SDG 3 - Good Health and Well-being ,Diabetes prevalence ,Diabetes Mellitus ,SYSTEMATIC ANALYSIS ,Humans ,human ,diagnostic test accuracy study ,gross national product ,OLDER-ADULTS ,education ,prueba de tolerancia a la glucosa ,glycosylated hemoglobin ,HEMOGLOBIN A(1C) MEASUREMENT ,VLAG ,Glycated Hemoglobin ,Hemoglobin A, Glycosylated ,Science & Technology ,Blood Glucose/metabolism ,nutritional and metabolic diseases ,Glucose Tolerance Test ,economic aspect ,medicine.disease ,glucose blood level ,Glucose ,age ,chemistry ,Faculdade de Ciências Sociais ,Glucosa ,Global surveillance of diabetes ,TOLERANCE TEST ,WORLDWIDE STANDARDIZATION ,Biomarkers ,Biomedical sciences ,Blood Glucose ,Settore MED/09 - Medicina Interna ,Nutrition and Disease ,humanos ,Biomarkers/metabolism ,geography ,chemistry.chemical_compound ,Voeding en Ziekte ,Diagnosis ,Prevalence ,Medicine and Health Sciences ,vigilancia centinela ,030212 general & internal medicine ,hemoglobin A1c ,US POPULATION ,Diabetes diagnosis ,Glucose tolerance test ,INSULIN-RESISTANCE ,medicine.diagnostic_test ,Research Support, Non-U.S. Gov't ,Diabetes ,prevalencia ,SCREENING-TEST ,health ,Articles ,Glucose blood ,Diabetes and Metabolism ,income ,Population-based health examination surveys ,Female ,Life Sciences & Biomedicine ,Adult ,Population ,population group ,CONSENSUS STATEMENT ,030209 endocrinology & metabolism ,GLYCATED HEMOGLOBIN ,high income region ,Endocrinology & Metabolism ,Insulin resistance ,Research Support, N.I.H., Extramural ,blood ,Internal medicine ,Diabetes mellitus ,parasitic diseases ,Journal Article ,medicine ,Life Science ,ddc:613 ,business.industry ,Insulin ,body mass ,Biological marker ,FASTING PLASMA-GLUCOSE ,Ciencias socio biomédicas ,Glycated hemoglobin ,business ,metabolism ,Sentinel Surveillance - Abstract
Diabetes has been defined on the basis of different biomarkers, including fasting plasma glucose (FPG), 2-h plasma glucose in an oral glucose tolerance test (2hOGTT), and HbA1c. We assessed the effect of different diagnostic definitions on both the population prevalence of diabetes and the classification of previously undiagnosed individuals as having diabetes versus not having diabetes in a pooled analysis of data from population-based health examination surveys in different regions., 0, info:eu-repo/semantics/published
- Published
- 2015
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