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2. A multidomain lifestyle intervention to maintain optimal cognitive functioning in Dutch older adults—study design and baseline characteristics of the FINGER-NL randomized controlled trial

Author

Deckers, Kay, Zwan, Marissa D., Soons, Lion M., Waterink, Lisa, Beers, Sonja, van Houdt, Sofie, Stiensma, Berrit, Kwant, Judy Z., Wimmers, Sophie C. P. M., Heutz, Rachel A. M., Claassen, Jurgen A. H. R., Oosterman, Joukje M., de Heus, Rianne A. A., van de Rest, Ondine, Vermeiren, Yannick, Voshaar, Richard C. Oude, Smidt, Nynke, Broersen, Laus M., Sikkes, Sietske A. M., Aarts, Esther, Köhler, Sebastian, and van der Flier, Wiesje M.

Published
2024
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20. Study Design of FINGER‐NL: a Multidomain Lifestyle Intervention in Dutch Older Adults to Maintain Optimal Cognitive Functioning

Author

Deckers, Kay, primary, Zwan, Marissa D., additional, Soons, Lion M., additional, Waterink, Lisa, additional, Beers, Sonja, additional, van Houdt, Sofie, additional, Meijer‐Krommenhoek, Yvonne, additional, van Pelt, Hilde, additional, Claassen, Jurgen A.H.R., additional, Oosterman, Joukje M., additional, de Heus, Rianne A.A., additional, van de Rest, Ondine, additional, Smidt, Nynke, additional, Broersen, Laus M., additional, Counotte, Danielle, additional, Sikkes, Sietske A.M., additional, van Boxtel, Martin P.J., additional, Aarts, Esther, additional, Köhler, Sebastian, additional, and van der Flier, Wiesje M., additional

Published
2023
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30. Relationship Between Childhood Abuse and Body Mass Index in Young Adulthood:Mediated by Depression and Anxiety?

Author

Elsenburg, Leonie K., Liefbroer, Aart C., van Eeden, Annelies E., Hoek, Hans W., Oldehinkel, Albertine J., Smidt, Nynke, Elsenburg, Leonie K., Liefbroer, Aart C., van Eeden, Annelies E., Hoek, Hans W., Oldehinkel, Albertine J., and Smidt, Nynke

Abstract

We examined whether childhood abuse is related to body mass index (BMI) in young adults and whether this relationship is mediated by depression and anxiety. Data are from the Dutch longitudinal cohort study TRAILS (nfemales = 836, nmales = 719). At wave 4, childhood sexual, physical and verbal abuse, and lifetime major depressive disorder (MDD) and generalized anxiety disorder (GAD) were assessed. BMI was measured at wave 4 and 5 (mean age = 19.2/22.4 years). Sex-stratified structural equation models were estimated. Females who had experienced sexual abuse had a higher BMI at wave 4 (B = 0.97, 95%CI = [−0.01,1.96]) and a higher increase in BMI between wave 4 and 5 (B = 0.52, 95%CI = [0.04,1.01]) than females who had not experienced sexual abuse. Additionally, MDD and BMI at wave 4 were related in females (B = 1.35, 95%CI = [0.52,2.18]). MDD mediated the relationship between sexual abuse and BMI at wave 4 in females. In addition, sexual abuse moderated the relationship between MDD and BMI at wave 4. The relationship was stronger among females who had experienced sexual abuse than among females who had not. Prevention of BMI changes among females who experienced sexual abuse may thus be warranted, particularly when they developed MDD. MDD treatment, such as abuse-focused psychotherapy, may aid this prevention

Published
2023

42. Additional file 1 of Socioeconomic differences in metabolic syndrome development: examining the mediating role of chronic stress using the Lifelines Cohort Study

Author

Hoveling, Liza A., Liefbroer, Aart C., B��ltmann, Ute, and Smidt, Nynke

Abstract

Additional file 1: Supplementary Figure 1. Graphical representation of measurements of the key variables in the study. Supplementary Figure 2. Flowchart of the selection of the study population. Supplementary Table 1. Measurements in the Lifelines Cohort Study of the variables used in the analyses. Supplementary Table 2. Chronic stress characteristics of the study population in questionnaires T2, T3 and T4. Supplementary Table 3. Baseline characteristics of the baseline population (n = 120,177) and a comparison of the study population (n = 53,216) and the participants excluded (n = 66,961). Supplementary Table 4. Baseline characteristics of the Lifelines Cohort Study (n = 152,728) and a comparison of the study population (n = 53,216) and the participants excluded (n = 99,512). Supplementary Table 5. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stress, and metabolic syndrome development in the study population (n = 53,216). Supplementary Table 6. Multivariable mediation analysis of chronic stressa in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method in the study population (n = 53,216). Supplementary Table 7. Interaction coefficients of sex*chronic stress in the multivariable logistic regression analysis between chronic stress and metabolic syndrome development (n = 53,216). Supplementary Table 8. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stress, and metabolic syndrome development among participants who did not use medication at T4 (n = 31,358). Supplementary Table 9. Multivariable mediation analysis of chronic stress in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method among participants who did not use medication at T4 (n = 31,358). Supplementary Table 10. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stress, and metabolic syndrome development among participants with more than 30% missings on variables (n = 85,957). Supplementary Table 11. Multivariable mediation analysis of chronic stress in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method among participants with more than 30% missings on variables (n = 85,957). Supplementary Table 12. Multivariable logistic- and linear regression analysis of direct associations between socioeconomic position, chronic stressa, and metabolic syndrome development among complete cases (n = 41,455). Supplementary Table 13. Multivariable mediation analysis of chronic stress in associations between socioeconomic position and metabolic syndrome development, using the Karlson-Holm-Breen method among complete cases (n = 41,455). Supplementary Table 14. Interaction coefficients of sex*SEP in the multivariable logistic regression analyses between socioeconomic position measures and metabolic syndrome development in the study population (n = 53,216).

Published
2022
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44. Supplemental Material - Relationship Between Childhood Abuse and Body Mass Index in Young Adulthood: Mediated by Depression and Anxiety?

Author

Elsenburg, Leonie K., Liefbroer, Aart C., van Eeden, Annelies E., Hoek, Hans W., Oldehinkel, Albertine J., and Smidt, Nynke

Subjects
160299 Criminology not elsewhere classified, FOS: Law
Abstract

Supplemental Material for Relationship Between Childhood Abuse and Body Mass Index in Young Adulthood: Mediated by Depression and Anxiety? by Leonie K. Elsenburg, Aart C. Liefbroer, Annelies E. Van Eeden, Hans W. Hoek, Albertine J. Oldehinkel, and Nynke Smidt in Child Maltreatment

Published
2022
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48. Relationship Between Childhood Abuse and Body Mass Index in Young Adulthood: Mediated by Depression and Anxiety?

Author

Elsenburg, Leonie K., Liefbroer, Aart C., van Eeden, Annelies E., Hoek, Hans W., Oldehinkel, Albertine J., and Smidt, Nynke

Subjects
OBESITY risk factors, MENTAL depression risk factors, STRUCTURAL equation modeling, CHILD sexual abuse, CONFIDENCE intervals, CHILD abuse, COMPARATIVE studies, MENTAL depression, DESCRIPTIVE statistics, RESEARCH funding, BODY mass index, PSYCHOLOGY of adult child abuse victims, GENERALIZED anxiety disorder, LONGITUDINAL method, INVECTIVE, ADULTS
Abstract

We examined whether childhood abuse is related to body mass index (BMI) in young adults and whether this relationship is mediated by depression and anxiety. Data are from the Dutch longitudinal cohort study TRAILS (nfemales = 836, nmales = 719). At wave 4, childhood sexual, physical and verbal abuse, and lifetime major depressive disorder (MDD) and generalized anxiety disorder (GAD) were assessed. BMI was measured at wave 4 and 5 (mean age = 19.2/22.4 years). Sex-stratified structural equation models were estimated. Females who had experienced sexual abuse had a higher BMI at wave 4 (B = 0.97, 95%CI = [−0.01,1.96]) and a higher increase in BMI between wave 4 and 5 (B = 0.52, 95%CI = [0.04,1.01]) than females who had not experienced sexual abuse. Additionally, MDD and BMI at wave 4 were related in females (B = 1.35, 95%CI = [0.52,2.18]). MDD mediated the relationship between sexual abuse and BMI at wave 4 in females. In addition, sexual abuse moderated the relationship between MDD and BMI at wave 4. The relationship was stronger among females who had experienced sexual abuse than among females who had not. Prevention of BMI changes among females who experienced sexual abuse may thus be warranted, particularly when they developed MDD. MDD treatment, such as abuse-focused psychotherapy, may aid this prevention. [ABSTRACT FROM AUTHOR]

Published
2023
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50. Neighborhood socioeconomic differences in BMI: The role of fast‐food outlets and physical activity facilities.

Author

van Diepen, Rianne J., van Erpecum, Carel‐Peter L., Tabak, Demi, van Zon, Sander K.R., Bültmann, Ute, and Smidt, Nynke

Subjects
FAST food restaurants, PHYSICAL activity, NEIGHBORHOODS, SOCIOECONOMIC status, REGRESSION analysis
Abstract

Objective: The goal of this study was to investigate the association between neighborhood socioeconomic status (NSES) and BMI and to what extent this association is moderated by availability of fast‐food (FF) outlets and pay‐for‐use physical activity (PA) facilities. Methods: Baseline data of adults in Lifelines (N = 146,629) were linked to Statistics Netherlands and a register using geocoding to compute, respectively, NSES (i.e., low, middle, high) and the number of FF outlets and PA facilities within 1 km of the residential address. Multivariable multilevel linear regression analyses were performed to examine the association between NSES and BMI. Two‐way and three‐way interaction terms were tested to examine moderation by FF outlets and PA facilities. Results: Participants living in low NSES areas had a higher BMI than participants living in high (B [95% CI]: 0.76 [0.65 to 0.87]) or middle NSES areas (B [95% CI]: 0.40 [0.28 to 0.51]), independent of individual socioeconomic status. Although two‐ and three‐way interactions between NSES, FF outlets, and PA facilities were significant, stratified analyses did not show consistent moderation patterns. Conclusions: People living in lower NSES areas had a higher BMI, independent of their individual socioeconomic status. The study found no clear moderation of FF outlets and PA facilities. Environmental factors that may mitigate NSES differences in BMI should be the subject of future research. [ABSTRACT FROM AUTHOR]

Published
2023
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