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1. A capital-based approach to better understand health inequalities: Theoretical and empirical explorations

Author

Qi, Yuwei, Vrooman, J. Cok, Almansa, Josué, Ots, Patricia, Brouwer, Sandra, Reijneveld, Sijmen A., Leerstoel Lippe, Social Networks, Solidarity and Inequality, Leerstoel Lippe, Social Networks, Solidarity and Inequality, and Public Health Research (PHR)

Subjects
Public health, Health (social science), Health Policy, Environmental and Occupational Health, Public Health, Environmental and Occupational Health, Capital, Health inequalities, Resources, Health(social science)
Abstract

Background: The persistence of health inequalities may be driven by differences in education and income, but also by other economic and non-economic factors. Our aim was to explore how the association between single-dimensional health and socioeconomic status (SES) changes when including health-related person capital, economic capital, social capital, cultural capital and attractiveness and personality capital. Methods: We used a capital-based approach to understand health inequalities. It presumes intertwined relationships between broadly measured health (‘health-related person capital’) and embodied resources (‘attractiveness and personality capital’) on the one hand, and ESC capital, i.e., economic, social, and cultural resources on the other. We used cross-sectional data on 152,592 participants from the Dutch Lifelines cohort study and estimated correlations using partial least squares structural equation modelling. Results: The correlation between SES and health-related person capital (r = 0.15) was stronger than the correlations between SES and single-dimensional health (physical and mental health; r = 0.12 and r = 0.04, respectively). ESC capital, combining economic, social and cultural capital, showed a correlation of 0.34 with health-related person capital. This was stronger than the correlation between health-related person capital and economic capital alone (r = 0.19). Lastly, the correlation between health-related person capital and ESC capital increased when health related, attractiveness and personality resources were combined into a single person capital construct (from r = 0.34 to r = 0.49). Conclusions: This exploratory study shows the empirical interconnectedness of various types of resources, and their potential role in the persistence of health inequalities. Our findings corroborate the idea of considering health as a multidimensional concept, and to extend conventional SES indicators to a broader measurement of economic and non-economic resources.

Published
2023

5. Additional file 3 of Core health-components, contextual factors and program elements of community-based interventions in Southeast Asia – a realist synthesis regarding hypertension and diabetes

Author

Pardoel, Zinzi E., Reijneveld, Sijmen A., Lensink, Robert, Widyaningsih, Vitri, Probandari, Ari, Stein, Claire, Hoang, Giang Nguyen, Koot, Jaap A. R., Fenenga, Christine J., Postma, Maarten, and Landsman, Johanna A.

Subjects
Data_FILES
Abstract

Additional file 3. Table with study characteristics.

Published
2021
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6. Additional file 2 of Core health-components, contextual factors and program elements of community-based interventions in Southeast Asia – a realist synthesis regarding hypertension and diabetes

Author

Pardoel, Zinzi E., Reijneveld, Sijmen A., Lensink, Robert, Widyaningsih, Vitri, Probandari, Ari, Stein, Claire, Hoang, Giang Nguyen, Koot, Jaap A. R., Fenenga, Christine J., Postma, Maarten, and Landsman, Johanna A.

Subjects
Data_FILES
Abstract

Additional file 2. Search terms.

Published
2021
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7. Additional file 1 of Core health-components, contextual factors and program elements of community-based interventions in Southeast Asia – a realist synthesis regarding hypertension and diabetes

Author

Pardoel, Zinzi E., Reijneveld, Sijmen A., Lensink, Robert, Widyaningsih, Vitri, Probandari, Ari, Stein, Claire, Hoang, Giang Nguyen, Koot, Jaap A. R., Fenenga, Christine J., Postma, Maarten, and Landsman, Johanna A.

Abstract

Additional file 1. Table with RAMESES checklist.

Published
2021
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8. Additional file 1 of Availability, prices, and affordability of selected essential cancer medicines in a middle-income country – the case of Mexico

Author

Moye-Holz, Daniela, Ewen, Margaret, Dreser, Anahi, Bautista-Arredondo, Sergio, Soria-Saucedo, Rene, Dijk, Jitse P. Van, Reijneveld, Sijmen A., and Hogerzeil, Hans V.

Abstract

Additional file 1. Medicines of study and their characteristics. Characteristics of selected medicines of study following inclusion criteria.

Published
2020
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9. Longitudinal patterns and predictors of multiple health risk behaviors among adolescents: The TRAILS study

Author

de Winter, Andrea F., Visser, Leenke, Verhulst, Frank C., Vollebergh, Wilma A M, Reijneveld, Sijmen A., Leerstoel Vollebergh, Youth in Changing Cultural Contexts, Marketing and Entrepreneurship, Public Health Research (PHR), Child and Adolescent Psychiatry / Psychology, Leerstoel Vollebergh, and Youth in Changing Cultural Contexts

Subjects
Male, Longitudinal study, Sports medicine, Epidemiology, Health Behavior, Overweight, CANADIAN CHILDREN, 0302 clinical medicine, Prevalence, Prospective Studies, 030212 general & internal medicine, Child, Smoking, Adolescence, Self-control, CHILDHOOD SELF-CONTROL, PUBLIC-HEALTH, Population study, Female, Public Health, medicine.symptom, Multiple health risk behaviors, 0305 other medical science, risicofactoren, medicine.medical_specialty, Adolescent, Alcohol Drinking, gezondheidsgedrag, DIETARY BEHAVIORS, Marijuana Smoking, AMERICAN-COLLEGE, SPORTS-MEDICINE, Parental health behaviors, 03 medical and health sciences, Risk-Taking, SDG 3 - Good Health and Well-being, Environmental health, medicine, Humans, Obesity, Exercise, Socioeconomic status, 030505 public health, business.industry, Public health, Environmental and Occupational Health, Public Health, Environmental and Occupational Health, medicine.disease, LIFE-STYLE FACTORS, PHYSICAL-ACTIVITY, Social Class, Adolescent Behavior, Social factors, PRIMARY PREVENTION, business, jeugd, SOCIOECONOMIC POSITION
Abstract

Background. Most studies on multiple health risk behaviors among adolescents have cross-sectionally studied a limited number of health behaviors or determinants. Purpose. To examine the prevalence, longitudinal patterns and predictors of individual and multiple health risk behaviors among adolescents.Methods. Eight health risk behaviors (no regular consumption of fruit, vegetables or breakfast, overweight or obesity, physical inactivity, smoking, alcohol use and cannabis use) were assessed in a prospective population study (second and third wave). Participants were assessed in three waves between ages 10 and 17 (20012008; n = 2230). Multiple linear regression was used to assess the influence of gender, self-control, parental health risk behaviors, parental monitoring and socioeconomic factors on the number of health risk behaviors adjusted for preceding multiple health risk behaviors (analysis: 2013-2014).Results. Rates of >5 health risk behaviors were high: 3.6% at age 13.5 and 10.2% at age 16. Smoking at age 13.5 was frequently associated with health risk behaviors at age 16. No regular consumption of fruit, vegetables and breakfast, overweight or obesity, physical inactivity and smoking predicted the co-occurrence of health risk behaviors at follow-up. Significant predictors of the development of multiple health risk behaviors were adolescents' levels of self-control, socioeconomic status and maternal smoking.Conclusions. Multiple health risk behaviors are common among adolescents. Individual and social factors predict changes in multiple health risk behaviors, showing that prevention targeting multiple risk behaviors is needed. Special attention should be paid to adolescents with low self-control and families with low socioeconomic status or a mother who smokes. (C) 2015 Elsevier Inc. All rights reserved.

Published
2016

10. Bijeenkomst vroegsignalering ELS-NL

Author

Visser Bochane, Margot, Luinge, Margreet, Dieleman, Liesbeth, Reijneveld, Sijmen A, and van der Schans, Cees

Subjects
Healthy Ageing, Spraak-, Taalontwikkeling, Speech And Hearing, Jeugdgezondheidszorg, Spraak En Gehoor
Abstract

Signaleren van problemen in de spraak-, taalontwikkeling. Zowel in de jeugdgezondheidszorg als in het onderwijs worden verschillende instrumenten ingezet voor de monitoring van de spraak- en taalontwikkeling en de opsporing van mogelijke problemen in de spraak- en taalontwikkeling. Geen van deze instrumenten hebben bewezen voldoende psychometrische eigenschappen. Het doel is om een valide uniform signaleringsinstrument te ontwikkelen voor de opsporing van spraak-, taalproblemen bij kinderen van 1 tot 6 jaar voor zowel de Jeugdgezondheidszorg als voor het basisonderwijs. Voor de constructie van het signaleringsinstrument is (1) een Delphistudie uitgevoerd naar het construct ‘spraak-, taalontwikkeling’ en de alarmsignalen van een niet goed verlopende ontwikkeling; (2) is de face validity van de vragen over de items (samenvoeging alarmsignalen en items andere instrumenten) bepaald, en (3) zijn de ervaringen en wensen van ouders en professionals ten aanzien van signalering in kaart gebracht door middel van semigestructureerde interviews.In de normeringsfase wordt de geconstrueerde lijst afgenomen bij een gestratificeerde steekproef van in totaal 2000 ouders van kinderen (1 tot 6 jaar) in Nederland. De uiteindelijke vragenlijst bevat 75 items die vallen binnen het construct ‘spraak-, taalontwikkeling’ en beschrijven de linguïstische domeinen en interactie. Uit de semigestructureerd interviews kwam naar voren dat…….(ik weet niet meer wat ik daar had opgeschreven) Tijdens het congres worden de eerste resultaten van de normeringsfase gepresenteerdOns instrument draagt bij aan de gezamenlijke taak van zorg en onderwijs in het monitoren van de spraak- en taalontwikkeling en de opsporing en verwijzing van kinderen met problemen in de spraak- en taalontwikkeling.

Published
2014

11. Signaleren van problemen in de spraak-, taalontwikkeling

Author

Visser Bochane, Margot, Luinge, Margreet, Dieleman, Liesbeth, Reijneveld, Sijmen A, and van der Schans, Cees

Subjects
Healthy Ageing, Spraak, - Taalontwikkeling, Jeugdgezondheidszorg, Preventie, Onderwijs, Education
Abstract

Signaleren van problemen in de spraak-, taalontwikkeling. Siméa 30-10-2014. Zowel in de jeugdgezondheidszorg als in het onderwijs worden verschillende instrumenten ingezet voor de monitoring van de spraak- en taalontwikkeling en de opsporing van mogelijke problemen in de spraak- en taalontwikkeling. Geen van deze instrumenten hebben bewezen voldoende psychometrische eigenschappen. Het doel is om een valide uniform signaleringsinstrument te ontwikkelen voor de opsporing van spraak-, taalproblemen bij kinderen van 1 tot 6 jaar voor zowel de Jeugdgezondheidszorg als voor het basisonderwijs. Voor de constructie van het signaleringsinstrument is (1) een Delphistudie uitgevoerd naar het construct ‘spraak-, taalontwikkeling’ en de alarmsignalen van een niet goed verlopende ontwikkeling; (2) is de face validity van de vragen over de items (samenvoeging alarmsignalen en items andere instrumenten) bepaald, en (3) zijn de ervaringen en wensen van ouders en professionals ten aanzien van signalering in kaart gebracht door middel van semigestructureerde interviews.In de normeringsfase wordt de geconstrueerde lijst afgenomen bij een gestratificeerde steekproef van in totaal 2000 ouders van kinderen (1 tot 6 jaar) in Nederland. De uiteindelijke vragenlijst bevat 75 items die vallen binnen het construct ‘spraak-, taalontwikkeling’ en beschrijven de linguïstische domeinen en interactie. Uit de semigestructureerd interviews kwam naar voren dat…….(ik weet niet meer wat ik daar had opgeschreven)Tijdens het congres worden de eerste resultaten van de normeringsfase gepresenteerd. Ons instrument draagt bij aan de gezamenlijke taak van zorg en onderwijs in het monitoren van de spraak- en taalontwikkeling en de opsporing en verwijzing van kinderen met problemen in de spraak- en taalontwikkeling.

Published
2014

25. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

Author

Vogelezang, Suzanne, Bradfield, Jonathan P., Ahluwalia, Tarunveer S., Curtin, John A., Lakka, Timo A., Grarup, Niels, Scholz, Markus, Van Der Most, Peter J., Monnereau, Claire, Stergiakouli, Evie, Heiskala, Anni, Horikoshi, Momoko, Fedko, Iryna O., Vilor-Tejedor, Natalia, Cousminer, Diana L., Standl, Marie, Wang, Carol A., Viikari, Jorma, Geller, Frank, Íñiguez, Carmen, Pitkänen, Niina, Chesi, Alessandra, Bacelis, Jonas, Yengo, Loic, Torrent, Maties, Ntalla, Ioanna, Helgeland, Øyvind, Selzam, Saskia, Vonk, Judith M., Zafarmand, Mohammed H., Heude, Barbara, Farooqi, Ismaa Sadaf, Alyass, Akram, Beaumont, Robin N., Have, Christian T., Rzehak, Peter, Bilbao, Jose Ramon, Schnurr, Theresia M., Barroso, Inês, Bønnelykke, Klaus, Beilin, Lawrence J., Carstensen, Lisbeth, Charles, Marie-Aline, Chawes, Bo, Clément, Karine, Closa-Monasterolo, Ricardo, Custovic, Adnan, Eriksson, Johan G., Escribano, Joaquin, Groen-Blokhuis, Maria, Grote, Veit, Gruszfeld, Dariusz, Hakonarson, Hakon, Hansen, Torben, Hattersley, Andrew T., Hollensted, Mette, Hottenga, Jouke-Jan, Hyppönen, Elina, Johansson, Stefan, Joro, Raimo, Kähönen, Mika, Karhunen, Ville, Kiess, Wieland, Knight, Bridget A., Koletzko, Berthold, Kühnapfel, Andreas, Landgraf, Kathrin, Langhendries, Jean-Paul, Lehtimäki, Terho, Leinonen, Jaakko T., Li, Aihuali, Lindi, Virpi, Lowry, Estelle, Bustamante, Mariona, Medina-Gomez, Carolina, Melbye, Mads, Michaelsen, Kim F., Morgen, Camilla S., Mori, Trevor A., Nielsen, Tenna R. H., Niinikoski, Harri, Oldehinkel, Albertine J., Pahkala, Katja, Panoutsopoulou, Kalliope, Pedersen, Oluf, Pennell, Craig E., Power, Christine, Reijneveld, Sijmen A., Rivadeneira, Fernando, Simpson, Angela, Sly, Peter D., Stokholm, Jakob, Teo, Kook K., Thiering, Elisabeth, Timpson, Nicholas J., Uitterlinden, André G., Van Beijsterveldt, Catharina E. M., Van Schaik, Barbera D. C., Vaudel, Marc, Verduci, Elvira, Vinding, Rebecca K., Vogel, Mandy, Zeggini, Eleftheria, Sebert, Sylvain, Lind, Mads V., Brown, Christopher D., Santa-Marina, Loreto, Reischl, Eva, Frithioff-Bøjsøe, Christine, Meyre, David, Wheeler, Eleanor, Ong, Ken, Nohr, Ellen A., Vrijkotte, Tanja G. M., Koppelman, Gerard H., Plomin, Robert, Njølstad, Pål R., Dedoussis, George D., Froguel, Philippe, Sørensen, Thorkild I. A., Jacobsson, Bo, Freathy, Rachel M., Zemel, Babette S., Raitakari, Olli, Vrijheid, Martine, Feenstra, Bjarke, Lyytikäinen, Leo-Pekka, Snieder, Harold, Kirsten, Holger, Holt, Patrick G., Heinrich, Joachim, Widén, Elisabeth, Sunyer, Jordi, Boomsma, Dorret I., Järvelin, Marjo-Riitta, Körner, Antje, Davey Smith, George, Holm, Jens-Christian, Atalay, Mustafa, Murray, Clare, Bisgaard, Hans, McCarthy, Mark I., Early Growth Genetics Consortium, Jaddoe, Vincent W. V., Grant, Struan F. A., and Felix, Janine F.

Subjects
2. Zero hunger, Research and analysis methods, Physical sciences, Medicine and health sciences, Biology and life sciences, nutritional and metabolic diseases, FOS: Physical sciences, Research Article
Abstract

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values

29. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

Author

Vogelezang, Suzanne, Bradfield, Jonathan P, Ahluwalia, Tarunveer S, Curtin, John A, Lakka, Timo A, Grarup, Niels, Scholz, Markus, Van Der Most, Peter J, Monnereau, Claire, Stergiakouli, Evie, Heiskala, Anni, Horikoshi, Momoko, Fedko, Iryna O, Vilor-Tejedor, Natalia, Cousminer, Diana L, Standl, Marie, Wang, Carol A, Viikari, Jorma, Geller, Frank, Íñiguez, Carmen, Pitkänen, Niina, Chesi, Alessandra, Bacelis, Jonas, Yengo, Loic, Torrent, Maties, Ntalla, Ioanna, Helgeland, Øyvind, Selzam, Saskia, Vonk, Judith M, Zafarmand, Mohammed H, Heude, Barbara, Farooqi, Ismaa Sadaf, Alyass, Akram, Beaumont, Robin N, Have, Christian T, Rzehak, Peter, Bilbao, Jose Ramon, Schnurr, Theresia M, Barroso, Inês, Bønnelykke, Klaus, Beilin, Lawrence J, Carstensen, Lisbeth, Charles, Marie-Aline, Chawes, Bo, Clément, Karine, Closa-Monasterolo, Ricardo, Custovic, Adnan, Eriksson, Johan G, Escribano, Joaquin, Groen-Blokhuis, Maria, Grote, Veit, Gruszfeld, Dariusz, Hakonarson, Hakon, Hansen, Torben, Hattersley, Andrew T, Hollensted, Mette, Hottenga, Jouke-Jan, Hyppönen, Elina, Johansson, Stefan, Joro, Raimo, Kähönen, Mika, Karhunen, Ville, Kiess, Wieland, Knight, Bridget A, Koletzko, Berthold, Kühnapfel, Andreas, Landgraf, Kathrin, Langhendries, Jean-Paul, Lehtimäki, Terho, Leinonen, Jaakko T, Li, Aihuali, Lindi, Virpi, Lowry, Estelle, Bustamante, Mariona, Medina-Gomez, Carolina, Melbye, Mads, Michaelsen, Kim F, Morgen, Camilla S, Mori, Trevor A, Nielsen, Tenna RH, Niinikoski, Harri, Oldehinkel, Albertine J, Pahkala, Katja, Panoutsopoulou, Kalliope, Pedersen, Oluf, Pennell, Craig E, Power, Christine, Reijneveld, Sijmen A, Rivadeneira, Fernando, Simpson, Angela, Sly, Peter D, Stokholm, Jakob, Teo, Kook K, Thiering, Elisabeth, Timpson, Nicholas J, Uitterlinden, André G, Van Beijsterveldt, Catharina EM, Van Schaik, Barbera DC, Vaudel, Marc, Verduci, Elvira, Vinding, Rebecca K, Vogel, Mandy, Zeggini, Eleftheria, Sebert, Sylvain, Lind, Mads V, Brown, Christopher D, Santa-Marina, Loreto, Reischl, Eva, Frithioff-Bøjsøe, Christine, Meyre, David, Wheeler, Eleanor, Ong, Ken, Nohr, Ellen A, Vrijkotte, Tanja GM, Koppelman, Gerard H, Plomin, Robert, Njølstad, Pål R, Dedoussis, George D, Froguel, Philippe, Sørensen, Thorkild IA, Jacobsson, Bo, Freathy, Rachel M, Zemel, Babette S, Raitakari, Olli, Vrijheid, Martine, Feenstra, Bjarke, Lyytikäinen, Leo-Pekka, Snieder, Harold, Kirsten, Holger, Holt, Patrick G, Heinrich, Joachim, Widén, Elisabeth, Sunyer, Jordi, Boomsma, Dorret I, Järvelin, Marjo-Riitta, Körner, Antje, Davey Smith, George, Holm, Jens-Christian, Atalay, Mustafa, Murray, Clare, Bisgaard, Hans, McCarthy, Mark I, Early Growth Genetics Consortium, Jaddoe, Vincent WV, Grant, Struan FA, and Felix, Janine F

Subjects
2. Zero hunger, Adult, Male, Menarche, Adolescent, Monosaccharide Transport Proteins, Waist-Hip Ratio, Nedd4 Ubiquitin Protein Ligases, nutritional and metabolic diseases, Cardiometabolic Risk Factors, Blood Pressure, Mendelian Randomization Analysis, 3. Good health, Body Mass Index, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Child, Preschool, Humans, Female, Genetic Predisposition to Disease, Child, Genome-Wide Association Study
Abstract

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values

30. School Health Services

Author

Danielle Jansen, Johanna Vervoort, Annemieke Visser, Reijneveld, Sijmen A., Kocken, P., and Michaud, P. A.

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