5 results on '"Nusselder W"'
Search Results
2. The relation between non-occupational physical activity and years lived with and without disability
- Author
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Nusselder, W J, Looman, C W N, Franco, O H, Peeters, A, Slingerland, A S, and Mackenbach, J P
- Published
- 2008
3. Lifetime risk and projected population prevalence of diabetes
- Author
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Magliano, D. J., Shaw, J. E., Shortreed, S. M., Nusselder, W. J., Liew, D., Barr, E. L. M., Zimmet, P. Z., and Peeters, A.
- Published
- 2008
- Full Text
- View/download PDF
4. Maternal educational inequalities in measured body mass index trajectories in three European countries
- Author
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Mccrory, C., Leahy, S., Ribeiro, A. I., Fraga, S., Barros, H., Avendano, M., Vineis, P., Layte, R., Alenius, H., Baglietto, L., Bartley, M., Bellone, M., Berger, E., Bochud, M., Candiani, G., Carmeli, C., Carra, L., Castagne, R., Chadeau-Hyam, M., Cima, S., Costa, G., Courtin, E., Delpierre, C., D'Errico, A., Donkin, A., Dugue, P. -A., Elliott, P., Fagherazzi, G., Fiorito, G., Gandini, Martina, Gares, V., Gerbouin-Rerrolle, P., Giles, G., Goldberg, M., Greco, D., Guida, F., Hodge, A., Karimi, M., Karisola, P., Kelly, M., Kivimaki, M., Laine, J., Lang, T., Laurent, A., Lepage, B., Lorsch, D., Machell, G., Mackenbach, J., Marmot, M., Milne, David Robert, Muennig, P., Nusselder, W., Petrovic, D., Polidoro, S., Preisig, M., Recalcati, P., Reinhard, E., Ricceri, F., Robinson, O., Jose, R., Severi, PAULA GABRIELA, Simmons, T., Stringhini, S., Terhi, V., Than, J., Vergnaud, A. -C., Vigna-Taglianti, F., Vollenweider, P., Zins, M., Epidemiology, Public Health, HRB, and ERC
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Male ,Pediatric Obesity ,obesity ,Adolescent ,Inequality ,Epidemiology ,body mass index ,children ,cohort study ,growth curves ,overweight ,social inequalities ,media_common.quotation_subject ,Social gradient ,Mothers ,Prospective data ,03 medical and health sciences ,0302 clinical medicine ,030225 pediatrics ,Prevalence ,medicine ,Humans ,Social inequality ,Prospective Studies ,Child ,media_common ,2. Zero hunger ,030219 obstetrics & reproductive medicine ,Portugal ,business.industry ,4. Education ,Health Status Disparities ,medicine.disease ,Obesity ,United Kingdom ,Millennium Cohort Study (United States) ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Cohort ,Educational Status ,Female ,business ,Ireland ,Body mass index ,Demography - Abstract
BACKGROUND: Social inequalities in the prevalence of childhood overweight and obesity are well-established, but less is known about when the social gradient first emerges and how it evolves across childhood and adolescence.OBJECTIVE: This study examines maternal education differentials in children's body mass trajectories in infancy, childhood and adolescence using data from four contemporary European child cohorts.METHODS: Prospective data on children's body mass index (BMI) were obtained from four cohort studies-Generation XXI (G21-Portugal), Growing Up in Ireland (GUI) infant and child cohorts, and the Millennium Cohort Study (MCS-UK)-involving a total sample of 41,399 children and 120,140 observations. Children's BMI trajectories were modelled by maternal education level using mixed-effect models.RESULTS: Maternal educational inequalities in children's BMI were evident as early as three years of age. Children from lower maternal educational backgrounds were characterised by accelerated BMI growth, and the extent of the disparity was such that boys from primary-educated backgrounds measured 0.42 kg/m2 (95% CI 0.24, 0.60) heavier at 7 years of age in G21, 0.90 kg/m2 (95% CI 0.60, 1.19) heavier at 13 years of age in GUI and 0.75 kg/m2 (95% CI 0.52, 0.97) heavier in MCS at 14 years of age. The corresponding figures for girls were 0.71 kg/m2 (95% CI 0.50, 0.91), 1.31 kg/m2 (95% CI 1.00, 1.62) and 0.76 kg/m2 (95% CI 0.53, 1.00) in G21, GUI and MCS, respectively.CONCLUSIONS: Maternal education is a strong predictor of BMI across European nations. Socio-economic differentials emerge early and widen across childhood, highlighting the need for early intervention.
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- 2019
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5. Reducing socio-economic inequalities in all-cause mortality: a counterfactual mediation approach
- Author
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Marcel Goldberg, Graham G. Giles, Jessica E. Laine, Cyrille Delpierre, Salvatore Panico, Henrique Barros, Martina Gandini, Pierre Antoine Dugué, Gianluca Severi, Marie Zins, Paolo Vineis, Roger L. Milne, Silvia Stringhini, Allison M. Hodge, Carlotta Sacerdote, Valéria Troncoso Baltar, Marc Chadeau-Hyam, Rosario Tumino, Mika Kivimäki, Vittorio Krogh, Vittorio Perduca, LIFEPATH Consortium, Alenius, H., Avendano, M., Baltar, V., Bartley, M., Barros, H., Bochud, M., Carmeli, C., Carra, L., Castagné, R., Chadeau-Hyam, M., Clavel-Chapelon, F.O., Costa, G., Courtin, E., Delpierre, C., Donkin, A., D'Errico, A., Dugué, P.A., Elliott, P., Fiorito, G., Fraga, S., Garès, V., Gandini, M., Giles, G., Goldberg, M., Greco, D., Hodge, A., Karimi, M., Kelly-Irving, M., Karisola, P., Kivimaki, M., Krogh, V., Laine, J., Lang, T., Layte, R., Lepage, B., Mackenbach, J., Marmot, M., de Mestral, C., McCrory, C., Milne, R., Muennig, P., Nusselder, W., Panico, S., Petrovic, D., Polidoro, S., Preisig, M., Raitakari, O., Ribeiro, A.I., Ricceri, F., Reinhard, E., Robinson, O., Valverde, J.R., Sacerdote, C., Satolli, R., Severi, G., Shipley, M.J., Stringhini, S., Tumino, R., Tieulent, J., Vaccarella, S., Vergnaud, A.C., Vineis, P., Vollenweider, P., Zins, M., Medical Research Council (MRC), and Commission of the European Communities
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LIFEPATH Consortium ,Adult ,Male ,Mediation (statistics) ,medicine.medical_specialty ,Socio-economic inequalities ,Social Determinants of Health ,Epidemiology ,030209 endocrinology & metabolism ,1117 Public Health and Health Services ,health behaviours ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Cause of Death ,all-cause mortality ,causal inference ,intervention ,mediation ,multiple mediators ,Humans ,Medicine ,030212 general & internal medicine ,Mortality ,ddc:613 ,Cause of death ,business.industry ,0104 Statistics ,Hazard ratio ,Health Status Disparities ,General Medicine ,Middle Aged ,Mortality/trends ,Confidence interval ,Editorial Commentary ,Socioeconomic Factors ,Female ,Observational study ,business ,Body mass index ,Demography ,Cohort study - Abstract
Background Socio-economic inequalities in mortality are well established, yet the contribution of intermediate risk factors that may underlie these relationships remains unclear. We evaluated the role of multiple modifiable intermediate risk factors underlying socio-economic-associated mortality and quantified the potential impact of reducing early all-cause mortality by hypothetically altering socio-economic risk factors. Methods Data were from seven cohort studies participating in the LIFEPATH Consortium (total n = 179 090). Using both socio-economic position (SEP) (based on occupation) and education, we estimated the natural direct effect on all-cause mortality and the natural indirect effect via the joint mediating role of smoking, alcohol intake, dietary patterns, physical activity, body mass index, hypertension, diabetes and coronary artery disease. Hazard ratios (HRs) were estimated, using counterfactual natural effect models under different hypothetical actions of either lower or higher SEP or education. Results Lower SEP and education were associated with an increase in all-cause mortality within an average follow-up time of 17.5 years. Mortality was reduced via modelled hypothetical actions of increasing SEP or education. Through higher education, the HR was 0.85 [95% confidence interval (CI) 0.84, 0.86] for women and 0.71 (95% CI 0.70, 0.74) for men, compared with lower education. In addition, 34% and 38% of the effect was jointly mediated for women and men, respectively. The benefits from altering SEP were slightly more modest. Conclusions These observational findings support policies to reduce mortality both through improving socio-economic circumstances and increasing education, and by altering intermediaries, such as lifestyle behaviours and morbidities.
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- 2019
- Full Text
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