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13. Participant recruitment, baseline characteristics and at-home-measurements of cardiometabolic risk markers: insights from the Supreme Nudge parallel cluster-randomised controlled supermarket trial

Author

on behalf of the SUPREME NUDGE consortium, Stuber, J.M., van Hoek, B.A.C.E., Vos, A.L., Smit, E.G., Lakerveld, J., Mackenbach, J.D., Beulens, J.W.J., de Ridder, D.T.D., Gillebaart, M., Blom, S.S.A.H., de Boer, F.E., on behalf of the SUPREME NUDGE consortium, Stuber, J.M., van Hoek, B.A.C.E., Vos, A.L., Smit, E.G., Lakerveld, J., Mackenbach, J.D., Beulens, J.W.J., de Ridder, D.T.D., Gillebaart, M., Blom, S.S.A.H., and de Boer, F.E.

Abstract

Background: Recruiting participants for lifestyle programmes is known to be challenging. Insights into recruitment strategies, enrolment rates and costs are valuable but rarely reported. We provide insight into the costs and results of used recruitment strategies, baseline characteristics and feasibility of at-home cardiometabolic measurements as part of the Supreme Nudge trial investigating healthy lifestyle behaviours. This trial was conducted during the COVID-19 pandemic, requiring a largely remote data collection approach. Potential sociodemographic differences were explored between participants recruited through various strategies and for at-home measurement completion rates. Methods: Participants were recruited from socially disadvantaged areas around participating study supermarkets (n = 12 supermarkets) across the Netherlands, aged 30–80 years, and regular shoppers of the participating supermarkets. Recruitment strategies, costs and yields were logged, together with completion rates of at-home measurements of cardiometabolic markers. Descriptive statistics are reported on recruitment yield per used method and baseline characteristics. We used linear and logistic multilevel models to assess the potential sociodemographic differences. Results: Of 783 recruited, 602 were eligible to participate, and 421 completed informed consent. Most included participants were recruited via letters/flyers at home (75%), but this strategy was very costly per included participant (89 Euros). Of paid strategies, supermarket flyers were the cheapest (12 Euros) and the least time-invasive (< 1 h). Participants who completed baseline measurements (n = 391) were on average 57.6 (SD 11.0) years, 72% were female and 41% had high educational attainment, and they often completed the at-home measurements successfully (lipid profile 88%, HbA1c 94%, waist circumference 99%). Multilevel models suggested that males tended to be recruited more often via word-of-mouth (OR

Published
2023

14. A positive neighborhood walkability is associated with a higher magnitude of leisure walking in adults upon COVID‑19 restrictions: a longitudinal cohort study

Author

Spoelder, M., Schoofs, M.C.A., Raaphorst, K.M.C., Lakerveld, J., Wagtendonk, A., Hartman, Y.A.W., Van Der Krabben, E., Hopman, M.T.E., Thijssen, D.H.J., Spoelder, M., Schoofs, M.C.A., Raaphorst, K.M.C., Lakerveld, J., Wagtendonk, A., Hartman, Y.A.W., Van Der Krabben, E., Hopman, M.T.E., and Thijssen, D.H.J.

Abstract

Contains fulltext : upload_in_progress_2066_296812.pdf (Publisher’s version ) (Closed access), Background Previous cross-sectional and longitudinal observational studies revealed positive relationships between contextual built environment components and walking behavior. Due to severe restrictions during COVID- 19 pandemic lockdowns, physical activity was primarily performed within the immediate living area. Using this unique opportunity, we evaluated whether built environment components were associated with the magnitude of change in walking activity in adults during COVID-19 restrictions. Methods Data on self-reported demographic characteristics and walking behaviour were extracted from the prospective longitudinal Lifelines Cohort Study in the Netherlands of participants ≥ 18 years. For our analyses, we made use of the data acquired between 2014–2017 (n = 100,285). A fifth of the participants completed the questionnaires during COVID-19 restrictive policies in July 2021 (n = 20,806). Seven spatial components were calculated for a 500m and 1650m Euclidean buffer per postal code area in GIS: population density, retail and service destination density, land use mix, street connectivity, green space density, sidewalk density, and public transport stops. Additionally, the walkability index (WI) of these seven components was calculated. Using multivariable linear regression analyses, we analyzed the association between the WI (and separate components) and the change in leisure walking minutes/ week. Included demographic variables were age, gender, BMI, education, net income, occupation status, household composition and the season in which the questionnaire was filled in. Results The average leisure walking time strongly increased by 127 min/week upon COVID-19 restrictions. All seven spatial components of the WI were significantly associated with an increase in leisure walking time; a 10% higher score in the individual spatial component was associated with 5 to 8 more minutes of leisure walking/week. Green space density at the 500m Euclidean buffer and side-walk d

Published
2023

15. Participant recruitment, baseline characteristics and at-home-measurements of cardiometabolic risk markers: insights from the Supreme Nudge parallel cluster-randomised controlled supermarket trial

Author

IRAS OH Epidemiology Chemical Agents, Stress and self-regulation, Leerstoel Ridder, IRAS – One Health Chemical, on behalf of the SUPREME NUDGE consortium, Stuber, J.M., van Hoek, B.A.C.E., Vos, A.L., Smit, E.G., Lakerveld, J., Mackenbach, J.D., Beulens, J.W.J., de Ridder, D.T.D., Gillebaart, M., Blom, S.S.A.H., de Boer, F.E., IRAS OH Epidemiology Chemical Agents, Stress and self-regulation, Leerstoel Ridder, IRAS – One Health Chemical, on behalf of the SUPREME NUDGE consortium, Stuber, J.M., van Hoek, B.A.C.E., Vos, A.L., Smit, E.G., Lakerveld, J., Mackenbach, J.D., Beulens, J.W.J., de Ridder, D.T.D., Gillebaart, M., Blom, S.S.A.H., and de Boer, F.E.

Published
2023

16. Associations between the urban environment and psychotic experiences in adolescents

Author

Bouter, D. C., Ravensbergen, S. J., Lakerveld, J., Hoogendijk, W. J.G., Mil, N. H.Grootendorst van, Bouter, D. C., Ravensbergen, S. J., Lakerveld, J., Hoogendijk, W. J.G., and Mil, N. H.Grootendorst van

Abstract

Objective: In 2050 two-thirds of the world's population is predicted to live in cities, which asks for a better understanding of how the urban environment affects mental health. Urbanicity has repeatedly been found to be a risk factor, in particular for psychosis. Here, we explored what factors of the urban exposome underlie the association between urban characteristics and psychotic experiences (PE) in adolescents. Methods: Participants were 815 adolescents (mean age 14.84 years, SD 0.78) from an at-risk cohort (greater Rotterdam area, the Netherlands) oversampled on their self-reported emotional and behavioral problems. We used linear regression analysis to examine the association with detailed geodata on urbanicity (surrounding address density), green space density (high and low vegetation), and mixed noise levels (road, rail, air, industry, and wind power) with PE in adolescents. Analyses were adjusted for multiple socio-economic and parental confounders. Furthermore, we explored sex-interaction effects. Results:Higher surrounding address density and low greenspace density were each independently associated with more PE (B = 0.18, 95 % CI 0.02; 0.34 and B = 0.17, 95 % CI 0.01; 0.32, respectively). High mixed noise levels were only associated with more PE in boys (B = 0.23, 95 % CI 0.01; 0.46). A sex-interaction effect was found for high urbanicity (B = −0.46, 95 % CI −0.77; −0.14) and low greenspace density (B = −0.49, 95 % CI −0.73; −0.11), illustrating that these associations with PE were specific for boys. Conclusion: Multiple characteristics of living in an urban area are associated with more PE in adolescent boys. Our observations provide leads for prevention of mental health problems via urban designing.

Published
2023

18. Development of an objectively measured walkability index for the Netherlands

Author

Lam, TM, Wang, Z, Vaartjes, I, Karssenberg, D, Ettema, D, Helbich, Marco, Timmermans, E, Frank, L, Den Braver, N, Wagtendonk, A, Beulens, JWJ, Lakerveld, J, Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, Urban Accessibility and Social Inclusion, Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, Urban Accessibility and Social Inclusion, Epidemiology and Data Science, APH - Health Behaviors & Chronic Diseases, APH - Methodology, ACS - Diabetes & metabolism, and ACS - Heart failure & arrhythmias

Subjects
Adult, Built environment, Nutrition and Dietetics, Adolescent, Physical activity, Medicine (miscellaneous), Transport, Physical Therapy, Sports Therapy and Rehabilitation, Walkability, Walking, Middle Aged, Young Adult, Cross-Sectional Studies, Residence Characteristics, Validation, Humans, Environment Design, Aged, Netherlands
Abstract

Background Walkability indices have been developed and linked to behavioural and health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed to 1) develop a theory-based and evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total and purpose-specific walking behaviours of adults across socioeconomic (SES) and urbanisation strata, 3) explore which walkability components drive these associations. Methods Components of the index included: population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density. Each of the seven components was calculated for three Euclidean buffers: 150 m, 500 m and 1000 m around every 6-digit postal code location and for every administrative neighbourhood in GIS. Componential z-scores were averaged, and final indices normalized between 0 and 100. Data on self-reported demographic characteristics and walking behaviours of 16,055 adult respondents (aged 18–65) were extracted from the Dutch National Travel Survey 2017. Using Tobit regression modelling adjusted for individual- and household-level confounders, we assessed the associations between walkability and minutes walking in total, for non-discretionary and discretionary purposes. By assessing the attenuation in associations between partial indices and walking outcomes, we identified which of the seven components drive these associations. We also tested for effect modification by urbanization degree, SES, age and sex. Results In fully adjusted models, a 10% increase in walkability was associated with a maximum increase of 8.5 min of total walking per day (95%CI: 7.1–9.9). This association was consistent across buffer sizes and purposes of walking. Public transport density was driving the index’s association with walking outcomes. Stratified results showed that associations with minutes of non-discretionary walking were stronger in rural compared to very urban areas, in neighbourhoods with low SES compared to high SES, and in middle-aged (36–49 years) compared to young (18–35 years old) and older adults (50–65 years old). Conclusions The walkability index was cross-sectionally associated with Dutch adult’s walking behaviours, indicating its validity for further use in research.

Published
2022

25. Development of an objectively measured walkability index for the Netherlands

Author

Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, Urban Accessibility and Social Inclusion, Lam, TM, Wang, Z, Vaartjes, I, Karssenberg, D, Ettema, D, Helbich, Marco, Timmermans, E, Frank, L, Den Braver, N, Wagtendonk, A, Beulens, JWJ, Lakerveld, J, Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, Urban Accessibility and Social Inclusion, Lam, TM, Wang, Z, Vaartjes, I, Karssenberg, D, Ettema, D, Helbich, Marco, Timmermans, E, Frank, L, Den Braver, N, Wagtendonk, A, Beulens, JWJ, and Lakerveld, J

Published
2022

26. Deep phenotyping meets big data

Author

Lakerveld, J., Wagtendonk, A., Vaartjes, I., Karssenberg, D., Penninx, B., Beulens, J., Timmermans, E., Huisman, M., Kramer, S., van Wier, M., Boomsma, D., Willemsen, G., Schuengel, C., Oosterman, M., Stronks, K., Vermeulen, R., Koster, A., Stehouwer, C., van den Hurk, K., Koomen, E., de Mutsert, R., Have, M., Verschuren, M., Picavet, S., Beenackers, M., van Lenthe, F., Ikram, A., Jaddoe, V., Oldehinkel, T., de Jong, T., Mulder, S., Dotinga, A., Landdegradatie en aardobservatie, Landscape functioning, Geocomputation and Hydrology, Organizational Culture and Change, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Afd Pharmacology, Urban Accessibility and Social Inclusion, Geography and Education, Leerstoel Aken, UU LEG Research USG Public Matters, Spatial Economics, Sociology, The Social Context of Aging (SoCA), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, Clinical Child and Family Studies, LEARN! - Child rearing, APH - Aging & Later Life, RS: CAPHRI - R4 - Health Inequities and Societal Participation, Sociale Geneeskunde, MUMC+: Centrum voor Chronische Zieken (3), MUMC+: MA Med Staf Artsass Interne Geneeskunde (9), RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, MUMC+: MA Reumatologie (9), MUMC+: MA Nefrologie (9), MUMC+: MA Medische Oncologie (9), MUMC+: MA Hematologie (9), MUMC+: MA Maag Darm Lever (9), MUMC+: MA Endocrinologie (9), MUMC+: HVC Pieken Maastricht Studie (9), Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), Public Health, Epidemiology, Erasmus MC other, Pediatrics, Epidemiology and Data Science, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, APH - Societal Participation & Health, Otolaryngology / Head & Neck Surgery, APH - Quality of Care, APH - Digital Health, and Public and occupational health

Subjects
Earth science, Big data, 010501 environmental sciences, 01 natural sciences, Health informatics, DISEASE, Environmental data, Data science, Cohort Studies, 0302 clinical medicine, 030212 general & internal medicine, Netherlands, ASSOCIATIONS, Non-communicabledisease, Environmental exposure, Non-communicable disease, SDG 11 - Sustainable Cities and Communities, Exposome, Geography, Cohort, lcsh:R858-859.7, BURDEN, medicine.medical_specialty, General Computer Science, Health geography, GREEN, Environment, lcsh:Computer applications to medicine. Medical informatics, Exposure, 03 medical and health sciences, REGRESSION, medicine, Humans, 0105 earth and related environmental sciences, business.industry, Research, Public health, Prevention, Public Health, Environmental and Occupational Health, Environmental Exposure, AIR-POLLUTION, General Business, Management and Accounting, Earth Sciences, Upstream determinants, business, Cohorts, ENVIRONMENTS
Abstract

Environmental exposures are increasingly investigated as possible drivers of health behaviours and disease outcomes. So-called exposome studies that aim to identify and better understand the effects of exposures on behaviours and disease risk across the life course require high-quality environmental exposure data. The Netherlands has a great variety of environmental data available, including high spatial and often temporal resolution information on urban infrastructure, physico-chemical exposures, presence and availability of community services, and others. Until recently, these environmental data were scattered and measured at varying spatial scales, impeding linkage to individual-level (cohort) data as they were not operationalised as personal exposures, that is, the exposure to a certain environmental characteristic specific for a person. Within the Geoscience and hEalth Cohort COnsortium (GECCO) and with support of the Global Geo Health Data Center (GGHDC), a platform has been set up in The Netherlands where environmental variables are centralised, operationalised as personal exposures, and used to enrich 23 cohort studies and provided to researchers upon request. We here present and detail a series of personal exposure data sets that are available within GECCO to date, covering personal exposures of all residents of The Netherlands (currently about 17 M) over the full land surface of the country, and discuss challenges and opportunities for its use now and in the near future.

Published
2020

28. Correction to: Built environmental characteristics and diabetes: a systematic review and meta-analysis (BMC Medicine, (2018), 16, 1, (12), 10.1186/s12916-017-0997-z)

Author

den Braver, N. R., Lakerveld, J., Rutters, F., Schoonmade, L. J., Brug, J., and Beulens, J. W. J.

Abstract

After publication, it came to the authors’ attention that after revision and update of the literature search, some numbers were inconsistently implemented (differences between tables and text) and some reference categories were incorrectly transformed in the original article [1]. This Correction displays the corrected information ahead. These adjustments did not change the results. – The third sentence of the Findings sub-section of the Abstract should instead state the following: Higher neighbourhood walkability was associated with lower T2DM risk/prevalence (n=6, OR=0.79 (95%-CI= 0.7-0.9; I2=92%)) and more green space was associated with lower T2DM risk/prevalence (n=4, OR=0.91 (95%- CI=0.88–0.95; I2=0%)). – The eighth paragraph of the Results should instead state the following: Eight studies investigated the association between green space and T2DM risk/prevalence. Two studies received a strong quality rating [44, 59]. Five studies observed that a higher availability of green space was associated with lower T2DM risk/prevalence [44, 54, 59, 64, 66] and three studies did not observe an association [42, 53, 60]. In meta-analyses of four studies, more green space was associated with lower T2D risk/prevalence with a pooled-risk ratio of 0.91(95%-CI: 0.88 – 0.95) with an I2 for heterogeneity of 0%. – The final paragraph of the Results should instead state the following: Five studies investigated the association between residential noise and T2DM risk/prevalence. One study received a strong quality rating [82]. Four studies observed that higher exposure to residential noise was associated with increased T2D risk/prevalence [82-85], and two studies did not observe an association [56, 85]. In meta-analyses of three studies [83, 85, 86], higher exposure to residential noise was not associated with T2DM risk/ prevalence (1.95 (95%CI: 0.96 – 3.97), I2 = 44.2%). – Figure 1 has been amended and the correct version can be viewed ahead. – Figure 2 has been amended and the correct version can be viewed ahead along with its corrected caption. – The heading of Table 3 should instead state the following: Table 3: Study results of studies investigating the association of physical activity environment, food environment or residential noise with T2D. – The caption of Supplementary Table 2 should instead state the following: Additional File 2: Study characteristics and results of studies with a weak quality rating – The corrected version of Supplementary Table 2 can be viewed attached alongside this Correction article (as ‘Additional file 1’ here).

Published
2021

40. impact of mass-media campaigns on physical activity: a review of reviews through a policy lens.

Author

Braver, Nicolette R den, Bengoechea, Enrique Garcia, Messing, Sven, Kelly, Liam, Schoonmade, Linda J, Volf, Kevin, Zukowska, Joanna, Gelius, Peter, Forberger, Sarah, Woods, Catherine B, and Lakerveld, J

Subjects
ONLINE information services, MEDICAL databases, CINAHL database, HEALTH policy, MASS media, MEDICAL information storage & retrieval systems, SYSTEMATIC reviews, SPORTS, PHYSICAL activity, MEDLINE, INFORMATION storage & retrieval systems, HEALTH promotion
Abstract

Background This review of reviews aimed to: (1) summarize the evidence from published reviews on the effectiveness of mass-media campaigns to promote physical activity (PA) or PA-related determinants (intermediate psychological and proximal outcomes) and (2) to identify policy-relevant recommendations related to successful PA campaigns. Methods An extensive literature search was performed on 1 March 2021. Reviews that evaluated the impact of campaigns on distal (e.g. PA) and/or proximal outcomes of PA (awareness, knowledge, etc.) and that targeted the general population or subsets were included. Quality of reviews was assessed using the AMSTAR-2 tool. Policy-relevant recommendations were systematically derived and synthesized and formulated as good practice statements. A protocol was registered beforehand (ID: CRD42021249184). Results A total of 1915 studies were identified, of which 22 reviews were included. The most consistent evidence was found for the effectiveness of mass-media campaigns on proximal outcomes, while the evidence for distal outcomes was mixed. Good practice statements were derived: (1) to achieve behaviour change, mass-media is an important component of larger, multilevel and multicomponent strategies; (2) mass-media strategies should be coordinated and aligned at local- and national-level and be sustained, monitored and resourced at these levels and (3) media should be tailored to reduce socioeconomic inequalities. Conclusions Mass-media can play an important role in the promotion of PA. In general, evidence was more inconsistent for effectiveness on distal outcomes than for proximal outcomes. Policy-relevant recommendations include that mass-media strategies should be resourced, coordinated, aligned, sustained, monitored and evaluated on the local and national level. [ABSTRACT FROM AUTHOR]

Published
2022
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44. Cognitive function in patients with late stage amyotrophic lateral sclerosis

Author

Lakerveld, J., Kotchoubey, B., and Kubler, A.

Subjects
Amyotrophic lateral sclerosis -- Diagnosis, Amyotrophic lateral sclerosis -- Development and progression, Amyotrophic lateral sclerosis -- Research, Cognition disorders -- Testing, Neuropsychological tests -- Usage, Health, Psychology and mental health
Published
2008

45. Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands

Author

Lakerveld, J., Wagtendonk, A., Vaartjes, I., Karssenberg, D., Penninx, B., Beulens, J., Timmermans, E., Huisman, M., Kramer, S., van Wier, M., Boomsma, D., Willemsen, G., Schuengel, C., Oosterman, M., Stronks, K., Vermeulen, R., Koster, A., Stehouwer, C., van den Hurk, K., Koomen, E., de Mutsert, R., Have, M., Verschuren, M., Picavet, S., Beenackers, M., van Lenthe, F., Ikram, A., Jaddoe, V., Oldehinkel, T., de Jong, T., Mulder, S., Dotinga, A., Landdegradatie en aardobservatie, Landscape functioning, Geocomputation and Hydrology, Organizational Culture and Change, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Afd Pharmacology, Urban Accessibility and Social Inclusion, Geography and Education, Leerstoel Aken, and UU LEG Research USG Public Matters

Subjects
Exposome, Big data, Prevention, Non-communicabledisease, Upstream determinants, Environment, Cohorts, Exposure, Data science
Abstract

Environmental exposures are increasingly investigated as possible drivers of health behaviours and disease outcomes. So-called exposome studies that aim to identify and better understand the effects of exposures on behaviours and disease risk across the life course require high-quality environmental exposure data. The Netherlands has a great variety of environmental data available, including high spatial and often temporal resolution information on urban infrastructure, physico-chemical exposures, presence and availability of community services, and others. Until recently, these environmental data were scattered and measured at varying spatial scales, impeding linkage to individual-level (cohort) data as they were not operationalised as personal exposures, that is, the exposure to a certain environmental characteristic specific for a person. Within the Geoscience and hEalth Cohort COnsortium (GECCO) and with support of the Global Geo Health Data Center (GGHDC), a platform has been set up in The Netherlands where environmental variables are centralised, operationalised as personal exposures, and used to enrich 23 cohort studies and provided to researchers upon request. We here present and detail a series of personal exposure data sets that are available within GECCO to date, covering personal exposures of all residents of The Netherlands (currently about 17 M) over the full land surface of the country, and discuss challenges and opportunities for its use now and in the near future.

Published
2020

47. Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement

Author

Jia, P., Remais, J.V., Stein, A., Brownson, R.C., Lakerveld, J., Yang, L., Amer, S., Pearce, J., Kestens, Y., Kwan, M.-P., Xu, F., Rundle, A., Xiao, Q., Xue, H., Cheng, G., Panter, J., Kingham, S., Jones, A., Johnson, B.T., Mavoa, S., Toivonen, T., Mwenda, K.M., Verschuren, W.M.M., Vermeulen, R., James, P., Landdegradatie en aardobservatie, SGPL Stadsgeografie, IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Subjects
Reporting standard, Big data, Artificial intelligence, Exposome, Lifecourse epidemiology, Reporting guideline, Spatial lifecourse epidemiology, ISLE, Exposomics, Spatial epidemiology, Location-based
Abstract

Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisions to be based on the strongest science possible, transparency and clarity in reporting in spatial lifecourse epidemiologic studies is essential. A task force supported by the International Initiative on Spatial Lifecourse Epidemiology (ISLE) identified a need for guidance in this area and developed a Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) Statement. The aim is to provide a checklist of recommendations to improve and make more consistent reporting of spatial lifecourse epidemiologic studies. The STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement for cohort studies was identified as an appropriate starting point to provide initial items to consider for inclusion. Reporting standards for spatial data and methods were then integrated to form a single comprehensive checklist of reporting recommendations. The strength of our approach has been our international and multidisciplinary team of content experts and contributors who represent a wide range of relevant scientific conventions, and our adherence to international norms for the development of reporting guidelines. As spatial, location-based, and artificial intelligence technologies used in spatial lifecourse epidemiology continue to evolve at a rapid pace, it will be necessary to revisit and adapt the ISLE-ReSt at least every 2–3 years from its release.

Published
2020

48. Adherence to a food group based dietary guideline and incidence of prediabetes and type 2 diabetes

Author

den Braver, N.R., Rutters, F., Kortelever van der Spek, A.L.J., Ibi, D., Looman, M., Geelen, A., Elders, P., van der Heijden, A.A., Brug, J., Lakerveld, J., Soedamah-Muthu, S.S., Beulens, J.W.J., den Braver, N.R., Rutters, F., Kortelever van der Spek, A.L.J., Ibi, D., Looman, M., Geelen, A., Elders, P., van der Heijden, A.A., Brug, J., Lakerveld, J., Soedamah-Muthu, S.S., and Beulens, J.W.J.

Published
2020

49. Aircraft noise control policy and mental health: A natural experiment based on the Longitudinal Aging Study Amsterdam (LASA)

Author

Li, L. (Liming), Carrino, L. (Ludovico), Reinhard, E. (Erica), Timmermans, E.J. (Erik), Huisman, M. (Martijn), Claassens, J. (Jip), Lakerveld, J. (Jeroen), Avendano, M. (Mauricio), Li, L. (Liming), Carrino, L. (Ludovico), Reinhard, E. (Erica), Timmermans, E.J. (Erik), Huisman, M. (Martijn), Claassens, J. (Jip), Lakerveld, J. (Jeroen), and Avendano, M. (Mauricio)

Abstract

Background: This study examines the impact of environmental noise policy on depressive symptoms by exploiting the national experiment afforded by the New Deal aircraft noise control policy introduced in Schiphol (Amsterdam) in 2008. Methods: Data came from older adults (ages 57-102) participating in three waves (2005/2006, 2008/2009 and 2011/2012) of the Longitudinal Aging Study Amsterdam (LASA) (N=1746). Aircraft noise data from the Netherlands Environmental Assessment Agency were linked to LASA cohort addresses using the GeoDMS software. The Centre for Epidemiologic Studies - Depression (CES-D) scale was used to measure depressive symptoms. Using a difference-in-dfferences (DiD) approach, we compared changes in CES-D levels of depressive symptoms before and after the policy between people living close (≤15 km) and those living far away (>15 km) from Schiphol airport. Results: There were few changes in noise levels after the introduction of the policy. Estimates suggested that the policy did not lead to a reduction in noise levels in the treatment areas relative to the control areas (DiD estimate=0.916 dB(A), SE=0.345), and it had no significant impact on levels of depressive symptoms (DiD estimate=0.044, SE=0.704). Results were robust to applying different distance thresholds. Conclusion: The

Published
2020
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50. Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands

Author

Landdegradatie en aardobservatie, Landscape functioning, Geocomputation and Hydrology, LS Cultuurgeschiedenis, OGKG - Cultuurgeschiedenis, Organizational Culture and Change, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Afd Pharmacology, Urban Accessibility and Social Inclusion, Geography and Education, Leerstoel Aken, Lakerveld, J., Wagtendonk, A., Vaartjes, I., Karssenberg, D., Penninx, B., Beulens, J., Timmermans, E., Huisman, M., Kramer, S., van Wier, M., Boomsma, D., Willemsen, G., Schuengel, C., Oosterman, M., Stronks, K., Vermeulen, R., Koster, A., Stehouwer, C., van den Hurk, K., Koomen, E., de Mutsert, R., Have, M., Verschuren, M., Picavet, S., Beenackers, M., van Lenthe, F., Ikram, A., Jaddoe, V., Oldehinkel, T., de Jong, T., Mulder, S., Dotinga, A., Landdegradatie en aardobservatie, Landscape functioning, Geocomputation and Hydrology, LS Cultuurgeschiedenis, OGKG - Cultuurgeschiedenis, Organizational Culture and Change, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Afd Pharmacology, Urban Accessibility and Social Inclusion, Geography and Education, Leerstoel Aken, Lakerveld, J., Wagtendonk, A., Vaartjes, I., Karssenberg, D., Penninx, B., Beulens, J., Timmermans, E., Huisman, M., Kramer, S., van Wier, M., Boomsma, D., Willemsen, G., Schuengel, C., Oosterman, M., Stronks, K., Vermeulen, R., Koster, A., Stehouwer, C., van den Hurk, K., Koomen, E., de Mutsert, R., Have, M., Verschuren, M., Picavet, S., Beenackers, M., van Lenthe, F., Ikram, A., Jaddoe, V., Oldehinkel, T., de Jong, T., Mulder, S., and Dotinga, A.

Published
2020

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