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There is increasing awareness of the importance of modelling life course trajectories to unravel how social, economic and health factors relate to health over time. Different methods have been developed and applied in public health to classify individuals into groups based on characteristics of their life course. However, the application and results of different methods are rarely compared. We compared the application and results of two methods to classify life course trajectories of individuals, i.e. sequence analysis and group-based multi-trajectory modeling (GBTM), using public health data. We used high-resolution Danish nationwide register data on 926,160 individuals born between 1987 and 2001, including information on the yearly occurrence of 7 childhood adversities in 2 dimensions (i.e. family poverty and family dynamics). We constructed childhood adversity trajectories from 0 to 15 years by applying (1) sequence analysis using optimal matching and cluster analysis using Ward's method and (2) GBTM using logistic and zero-inflated Poisson regressions. We identified 2 to 8 cluster solutions using both methods and determined the optimal solution for both methods. Both methods generated a low adversity, a poverty, and a consistent or high adversity cluster. The 5-cluster solution using sequence analysis additionally included a household psychiatric illness and a late adversity cluster. The 4-group solution using GBTM additionally included a moderate adversity cluster. Compared with the solution obtained through sequence analysis, the solution obtained through GBTM contained fewer individuals in the low adversity cluster and more in the other clusters. We find that the two methods generate qualitatively similar solutions, but the quantitative distributions of children over the groups are different. The method of choice depends on the type of data available and the research question of interest. We provide a comprehensive overview of important considerations and ben, There is increasing awareness of the importance of modelling life course trajectories to unravel how social, economic and health factors relate to health over time. Different methods have been developed and applied in public health to classify individuals into groups based on characteristics of their life course. However, the application and results of different methods are rarely compared. We compared the application and results of two methods to classify life course trajectories of individuals, i.e. sequence analysis and group-based multi-trajectory modeling (GBTM), using public health data. We used high-resolution Danish nationwide register data on 926,160 individuals born between 1987 and 2001, including information on the yearly occurrence of 7 childhood adversities in 2 dimensions (i.e. family poverty and family dynamics). We constructed childhood adversity trajectories from 0 to 15 years by applying (1) sequence analysis using optimal matching and cluster analysis using Ward's method and (2) GBTM using logistic and zero-inflated Poisson regressions. We identified 2 to 8 cluster solutions using both methods and determined the optimal solution for both methods. Both methods generated a low adversity, a poverty, and a consistent or high adversity cluster. The 5-cluster solution using sequence analysis additionally included a household psychiatric illness and a late adversity cluster. The 4-group solution using GBTM additionally included a moderate adversity cluster. Compared with the solution obtained through sequence analysis, the solution obtained through GBTM contained fewer individuals in the low adversity cluster and more in the other clusters. We find that the two methods generate qualitatively similar solutions, but the quantitative distributions of children over the groups are different. The method of choice depends on the type of data available and the research question of interest. We provide a comprehensive overview of important considerations and

Objective: We examined whether childhood adversity experienced in early childhood (0–5 years) is related to body mass index (BMI) in childhood (6–7 years) and adolescence (12–15 years). Methods: This study combined data from the nationwide register-based DANLIFE study on childhood adversities with data on height and weight of school children in Copenhagen. Data were available for 53,401 children born in Denmark between 1980 and 1996. Children were divided into groups of early childhood adversity by applying group-based multi-trajectory modelling using their yearly count of childhood adversity in three dimensions (i.e., material deprivation, loss or threat of loss, and family dynamics) from 0–5 years. Direct and total associations between the early childhood adversity groups and BMI z-scores in childhood and adolescence were estimated using sex-stratified structural equation models. Results: Five exclusive and exhaustive groups of early childhood adversity were identified, which were characterized by low adversity (51%), moderate material deprivation (30%), high material deprivation (14%), loss or threat of loss (3%) and high adversity (2%). Boys and girls exposed to moderate or high material deprivation and loss or threat of loss had a slightly higher BMI z-score, especially in adolescence, compared with those in the low adversity group, with the strongest association found for girls in the loss or threat of loss group (b (95% CI) = 0.18 (0.10, 0.26)). Additionally, boys in the high adversity group had a slightly lower BMI z-score in childhood than boys in the low adversity group (b (95% CI) = −0.12 (−0.22, −0.02)). Conclusions: Whereas associations with BMI were found for children and adolescents exposed to material deprivation, loss or threat of loss, and high adversity, the effect sizes were generally small. Contrary to prevailing hypotheses, weight changes in childhood is probably not a major explanatory mechanism linking early childhood adversity with later

Aim This study investigated the association between mothers' migration background and infant regulatory problems and analysed the mediating role of maternal mental health. We also explored whether the child's sex, parity and length of residence moderated the effect of a maternal migrant background. Methods Child health surveillance data from the Danish home visiting programme were used. Community health nurses followed infants from birth to 12 months of age. The source population comprised 103 813 infants born between 1 January 2008 and 31 December 2018. The final sample comprised 62 964 infants, including 3.4% with a refugee background. A maternal migrant background was the primary exposure. The results are presented as risk ratios (RR) and 95% confidence intervals (CI). Results A maternal refugee background increased the risk of regulatory problems in offspring (RR 1.34, 95% CI: 1.18–1.51). The effect was partially mediated by maternal postpartum mental health concerns. The association between maternal refugee background and infant regulatory problems was more pronounced in first-time mothers (RR 1.80, 95% CI: 1.51–2.15). Conclusion The risk of infant regulatory problems was higher in the first-born children of refugee mothers. First-time refugee parents may need tailored support to identify mental health needs and infants with regulatory problems., Aim: This study investigated the association between mothers' migration background and infant regulatory problems and analysed the mediating role of maternal mental health. We also explored whether the child's sex, parity and length of residence moderated the effect of a maternal migrant background. Methods: Child health surveillance data from the Danish home visiting programme were used. Community health nurses followed infants from birth to 12 months of age. The source population comprised 103 813 infants born between 1 January 2008 and 31 December 2018. The final sample comprised 62 964 infants, including 3.4% with a refugee background. A maternal migrant background was the primary exposure. The results are presented as risk ratios (RR) and 95% confidence intervals (CI). Results: A maternal refugee background increased the risk of regulatory problems in offspring (RR 1.34, 95% CI: 1.18–1.51). The effect was partially mediated by maternal postpartum mental health concerns. The association between maternal refugee background and infant regulatory problems was more pronounced in first-time mothers (RR 1.80, 95% CI: 1.51–2.15). Conclusion: The risk of infant regulatory problems was higher in the first-born children of refugee mothers. First-time refugee parents may need tailored support to identify mental health needs and infants with regulatory problems.

Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate racial bias between non-Hispanic Whites and non-Hispanic Blacks. We used National Health and Nutrition Examination Survey (NHANES) data, sampled in six independent two-year batches between 1999 and 2010. A total of 9,987 adults without a prior diagnosis of diabetes and with fasting blood samples available were included. We calculated race- and year-specific average predicted risks of type 2 diabetes according to the risk models. We compared the predicted risks with observed ones extracted from the US Diabetes Surveillance System across racial groups (summary calibration). All investigated models were found to be miscalibrated with regard to race, consistently across the survey years. The Framingham Offspring Risk Score overestimated type 2 diabetes risk for non-Hispanic Whites and underestimated risk for non-Hispanic Blacks. The PRT and the ARIC models overestimated risk for both races, but more so for non-Hispanic Whites. These landmark models overestimated the risk of type 2 diabetes for non-Hispanic Whites more severely than for non-Hispanic Blacks. This may result in a larger proportion of non-Hispanic Whites being prioritized for preventive interventions, but it also increases the risk of overdiagnosis and overtreatment in this group. On the other hand, a larger proportion of non-Hispanic Blacks may be potentially underprioritized and undertreated.

Aims/hypothesis To examine whether childhood adversity is related to development of type 2 diabetes in early adulthood (16 to 38 years) among men and women. Methods We used nationwide register data of 1,277,429 individuals born in Denmark between 1 January 1980 and 31 December 2001, who were still resident in Denmark and without diabetes at age 16 years. Individuals were divided into five childhood adversity groups based on their yearly exposure to childhood adversities (from age 0–15 years) across three dimensions: material deprivation, loss or threat of loss, and family dynamics. We estimated HR and hazard differences (HD) for type 2 diabetes according to the childhood adversity groups using Cox proportional hazards and Aalen additive hazards models. Results During follow-up from age 16 to 31 December 2018, 4860 individuals developed type 2 diabetes. Compared with the low adversity group, the risk of type 2 diabetes was higher in all other childhood adversity groups among both men and women. For example, the risk was higher in the high adversity group characterised by high rates of adversity across all three dimensions among men (HR 2.41; 95% CI 2.04, 2.85) and women (1.58; 1.31, 1.91), translating into 36.2 (25.9, 46.5) additional cases of type 2 diabetes per 100,000 person-years among men and 18.6 (8.2, 29.0) among women. Conclusions/interpretation Individuals who experienced childhood adversity are at higher risk of developing type 2 diabetes in early adulthood. Intervening upon proximal determinants of adversity may help reduce the number of type 2 diabetes cases among young adults., Aims/hypothesis To examine whether childhood adversity is related to development of type 2 diabetes in early adulthood (16 to 38 years) among men and women.Methods We used nationwide register data of 1,277,429 individuals born in Denmark between 1 January 1980 and 31 December 2001, who were still resident in Denmark and without diabetes at age 16 years. Individuals were divided into five childhood adversity groups based on their yearly exposure to childhood adversities (from age 0-15 years) across three dimensions: material deprivation, loss or threat of loss, and family dynamics. We estimated HR and hazard differences (HD) for type 2 diabetes according to the childhood adversity groups using Cox proportional hazards and Aalen additive hazards models.Results During follow-up from age 16 to 31 December 2018, 4860 individuals developed type 2 diabetes. Compared with the low adversity group, the risk of type 2 diabetes was higher in all other childhood adversity groups among both men and women. For example, the risk was higher in the high adversity group characterised by high rates of adversity across all three dimensions among men (HR 2.41; 95% CI 2.04, 2.85) and women (1.58; 1.31, 1.91), translating into 36.2 (25.9, 46.5) additional cases of type 2 diabetes per 100,000 person-years among men and 18.6 (8.2, 29.0) among women.Conclusions/interpretation Individuals who experienced childhood adversity are at higher risk of developing type 2 diabetes in early adulthood. Intervening upon proximal determinants of adversity may help reduce the number of type 2 diabetes cases among young adults.

Background: Childhood adversity such as poverty, loss of a parent, and dysfunctional family dynamics may be associated with exposure to environmental and behavioral hazards, interfere with normal biological functions, and affect cancer care and outcomes. To explore this hypothesis, we assessed the cancer burden among young men and women exposed to adversity during childhood. Methods: We undertook a population-based study using Danish nationwide register data on childhood adversity and cancer outcomes. Children who were alive and resident in Denmark until their 16th birthday were followed into young adulthood (16–38 years). Group-based multi-trajectory modelling was used to categorize individuals into five distinct groups: low adversity, early material deprivation, persistent material deprivation, loss/threat of loss, and high adversity. We assessed the association with overall cancer incidence, mortality, and five-year case fatality; and cancer specific outcomes for the four most common cancers in this age group in sex-stratified survival analyses. Findings: 1,281,334 individuals born between Jan 1, 1980, and Dec 31, 2001, were followed up until Dec 31, 2018, capturing 8229 incident cancer cases and 662 cancer deaths. Compared to low adversity, women who experienced persistent material deprivation carried a slightly lower risk of overall cancer (hazard ratio (HR) 0.90; 95% CI 0.82; 0.99), particularly due to malignant melanoma and brain and central nervous system cancers, while women who experienced high adversity carried a higher risk of breast cancer (HR 1.71; 95% CI 1.09; 2.70) and cervical cancer incidence (HR 1.82; 95% CI 1.18; 2.83). While there was no clear association between childhood adversity and cancer incidence in men, those men who had experienced persistent material deprivation (HR 1.72; 95% CI 1.29; 2.31) or high adversity (HR 2.27; 95% CI 1.38; 3.72) carried a disproportionate burden of cancer mortality during adolescence or young adulthood compared

To examine the effect of childhood adversity on the development of cardiovascular disease (CVD) between ages 16 and 38, specifically focusing on ischaemic heart disease and cerebrovascular disease, Aims To examine the effect of childhood adversity on the development of cardiovascular disease (CVD) between ages 16 and 38, specifically focusing on ischaemic heart disease and cerebrovascular disease. Methods and results Register data on all children born in Denmark between 1 January 1980 and 31 December 2001, who were alive and resident in Denmark without a diagnosis of CVD or congenital heart disease until age 16 were used, totalling 1 263 013 individuals. Cox proportional hazards and Aalen additive hazards models were used to estimate adjusted hazard ratios (HRs) and adjusted hazard differences of CVD from ages 16 to 38 in five trajectory groups of adversity experienced between ages 0 and 15. In total, 4118 individuals developed CVD between their 16th birthday and 31 December 2018. Compared with those who experienced low levels of adversity, those who experienced severe somatic illness and death in the family (men: adjusted HR: 1.6, 95% confidence interval: 1.4-1.8, women: 1.4, 1.2-1.6) and those who experienced very high rates of adversity across childhood and adolescence (men: 1.6, 1.3-2.0, women: 1.6, 1.3-2.0) had a higher risk of developing CVD, corresponding to 10-18 extra cases of CVD per 100 000 person-years in these groups. Conclusions Individuals who have been exposed to childhood adversity are at higher risk of developing CVD in young adulthood compared to individuals with low adversity exposure. These findings suggest that interventions targeting the social origins of adversity and providing support for affected families may have long-term cardio-protective effects.

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

Aims Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications, and though it may be linked to childhood adversity, the effect of different types of adversity remains unclear. Childhood adversity is linked to a younger maternal age, which may hide the overall impact of adversity on GDM risk. We therefore aimed to explore the association between different types of childhood adversity and GDM while accounting for the potential impact of maternal age. Methods We used Danish nation-wide register data, including 208,207 women giving birth for the first time from 2004 to 2018. Five adversity groups were used to examine the effect of childhood adversity on GDM risk: (1) low (referent group), (2) early life material deprivation, (3) persistent deprivation, (4) loss or threat of loss within the family and (5) high adversity. Results 5375 women were diagnosed with GDM in the study population (2.6% absolute risk). Compared to women who experienced low adversity, the other adversity groups had a higher GDM risk (absolute difference [%]) directly; early material deprivation (0.64% [95% CI 0.44; 0.84]), persistent deprivation (0.63% [0.41; 0.86]), loss or threat of loss (0.73% [0.42; 1.05]) and high adversity (0.80% [0.32; 1.27]). The indirect effect of maternal age attenuated the total effect of childhood adversity on GDM by an absolute difference of 0.25%–0.46%. Conclusions Experiencing childhood adversity to any extent is associated with a higher risk of GDM. Interventions aimed at preventing childhood adversity may have a positive effect in reducing GDM burden and the associated health risks., Aims: Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications, and though it may be linked to childhood adversity, the effect of different types of adversity remains unclear. Childhood adversity is linked to a younger maternal age, which may hide the overall impact of adversity on GDM risk. We therefore aimed to explore the association between different types of childhood adversity and GDM while accounting for the potential impact of maternal age. Methods: We used Danish nation-wide register data, including 208,207 women giving birth for the first time from 2004 to 2018. Five adversity groups were used to examine the effect of childhood adversity on GDM risk: (1) low (referent group), (2) early life material deprivation, (3) persistent deprivation, (4) loss or threat of loss within the family and (5) high adversity. Results: 5375 women were diagnosed with GDM in the study population (2.6% absolute risk). Compared to women who experienced low adversity, the other adversity groups had a higher GDM risk (absolute difference [%]) directly; early material deprivation (0.64% [95% CI 0.44; 0.84]), persistent deprivation (0.63% [0.41; 0.86]), loss or threat of loss (0.73% [0.42; 1.05]) and high adversity (0.80% [0.32; 1.27]). The indirect effect of maternal age attenuated the total effect of childhood adversity on GDM by an absolute difference of 0.25%–0.46%. Conclusions: Experiencing childhood adversity to any extent is associated with a higher risk of GDM. Interventions aimed at preventing childhood adversity may have a positive effect in reducing GDM burden and the associated health risks.

What is the risk of adverse childhood experiences (ACEs) for a child who grows up in Denmark with a parent who is a refugee affected by trauma? In The Lancet Public Health, Line Bager and colleagues1 used Danish registry data to address this question. As one might expect, the authors showed that these children are at higher risk of experiencing adversity compared with the rest of the population. More strikingly, the authors also showed that children of parents who migrate to Denmark from a refugee-sending country have a markedly higher risk of experiencing adversity

BackgroundChild maltreatment is a common negative experience and has potential long-lasting adverse consequences for mental and physical health, including increased risk for major depressive disorder (MDD) and metabolic syndrome. In addition, child maltreatment may increase the risk for comorbid physical health conditions to psychiatric conditions, with inflammation as an important mediator linking child maltreatment to poor adult health. However, it remains unresolved whether experiencing child maltreatment increases the risk for the development of comorbid metabolic syndrome to MDD. Therefore, we investigated whether child maltreatment increased the risk for comorbid metabolic syndrome to depressed mood. Subsequently, we examined whether C-reactive protein (CRP), as an inflammatory marker, mediated this association. In addition, we investigated whether effects differed between men and women. MethodsAssociations were examined within cross-sectional data from the multiethnic HELIUS study (N = 21,617). Adult residents of Amsterdam, Netherlands, self-reported on child maltreatment (distinct and total number of types experienced before the age of 16 years) as well as current depressed mood (PHQ-9 score >= 10), and underwent physical examination to assess metabolic syndrome. The CRP levels were assessed in N = 5,998 participants. Logistic and linear regressions were applied for binary and continuous outcomes, respectively. All analyses were adjusted for relevant demographic, socioeconomic, and lifestyle characteristics, including ethnicity. ResultsA higher number of maltreatment types as well as distinct types of emotional neglect, emotional abuse, and sexual abuse were significantly associated with a higher risk for current depressed mood. Child maltreatment was not significantly associated with the risk for metabolic syndrome in the whole cohort, nor within individuals with depressed mood. As child maltreatment was not significantly associated with the CRP level

Introduction: Numerous studies have examined the consequences of childhood adversity (CA) and socioeconomic status (SES) for health over the life course. However, few studies have examined the relation between childhood SES and CA as well as the influence of CA on adult SES. The objective of this study was to examine direct and indirect associations between childhood SES, CA and adult SES. Methods: Participants in the National Longitudinal Study of Adolescent to Adult Health, (N = 6844) reported on nine CA experiences. Childhood SES was characterized as a composite measure of parental highest education level, median household income, and parental occupational status. Adult SES was characterized as composite measure of highest education level attained at age 37, median household income and occupation. Results: In mediation analyses, adjusted for age, race and sex pathways were noted in that lower child SES was associated with CAs and CAs were associated with lower adult SES. Furthermore, CAs partially mediated the relation between childhood SES and adult SES. The proportion mediated by CA was small and only noted among African-American (4%) and White participants (5%). Conclusions: Childhood SES is associated with CAs. In turn, CAs are associated with lower adult SES, independent of childhood SES supporting the notion that intervening on CAs early on in the lifecourse could influence health and wellbeing throughout the life course.

Background Children who are exposed to adversities might be more susceptible to disease development during childhood and in later life due to impaired physiological and mental development. To explore this hypothesis, we assessed hospitalisation patterns through childhood and into adult life among those exposed to different trajectories of adversities during childhood. Methods For this population-based cohort study, we used annually updated data from Danish nationwide registers covering more than half a million children (aged 0–15 years) born between 1994 and 2001. Children who were alive and resident in Denmark on their 16th birthday were included in the analysis. Cluster analysis was used to divide children into five distinct trajectories according to their experience of childhood adversities, including poverty and material deprivation, loss or threat of loss within the family, and aspects of family dynamics. To describe comprehensively the disease patterns experienced by these groups of children, we assessed the associations of each adversity trajectory with hospital admission patterns according to the entire spectrum of disease diagnoses in the International Classification of Diseases 10th edition, from birth to 24 years of age, using survival models. Findings 508 168 children born between Jan 1, 1994, and Dec 31, 2001, were followed up until Dec 31, 2018, capturing more than 3·8 million hospital admissions from birth to early adulthood. Hospitalisation rates were consistently higher in all four adversity groups compared with the low adversity group. The high adversity group (14 577 children, 3%), who were exposed to adversities of deprivation, family loss, and negative family dynamics, had a markedly higher rate of hospitalisations across all ages. For example, we observed 243 additional hospital admissions per 1000 person-years (95% CI 238–248) in the high versus low adversity group for those aged 16–24 years. These associations we

Background: In response to the COVID-19 pandemic, governments around the world instituted various public-health measures. Our project aimed to highlight the most significant similarities and differences in key mental-health indicators between four Western and Northern European countries, and identify the population subgroups with the poorest mental-health outcomes during the first months of the pandemic. Methods: We analysed time-series survey data of 205,084 individuals from seven studies from Denmark, France, the Netherlands, and the UK to assess the impact of the pandemic and associated lockdowns. All analyses focused on the initial lockdown phase (March-July 2020). The main outcomes were loneliness, anxiety, and COVID-19-related worries and precautionary behaviours. Findings: COVID-19-related worries were consistently high in each country but decreased during the gradual reopening phases. While only 7% of the respondents reported high levels of loneliness in the Netherlands, percentages were higher in the rest of the three countries (1318%). In all four countries, younger individuals and individuals with a history of mental illness expressed the highest levels of loneliness. Interpretation: The pandemic and associated country lockdowns had a major impact on the mental health of populations, and certain subgroups should be closely followed to prevent negative long-term consequences. Younger individuals and individuals with a history of mental illness would benefit from tailored public-health interventions to prevent or counteract the negative effects of the pandemic. Individuals across Western and Northern Europe have thus far responded in psychologically similar ways despite differences in government approaches to the pandemic.

Aims: There is a need to document the mental-health effects of the COVID-19 pandemic and its associated societal lockdowns. We initiated a large mixed-methods data collection, focusing on crisis-specific worries and mental-health indicators during the lockdown in Denmark. Methods: The study incorporated five data sources, including quantitative surveys and qualitative interviews. The surveys included a time series of cross-sectional online questionnaires starting on 20 March 2020, in which 300 (3×100) Danish residents were drawn every three days from three population groups: the general population (N=1046), families with children (N=1032) and older people (N=1059). These data were analysed by trend analysis. Semi-structured interviews were conducted with 32 people aged 24–83 throughout Denmark to provide context to the survey results and to gain insight into people’s experiences of the lockdown. Results: Absolute level of worries, quality of life and social isolation were relatively stable across all population groups during the lockdown, although there was a slight deterioration in older people’s overall mental health. Many respondents were worried about their loved ones’ health (74–76%) and the potential long-term economic consequences of the pandemic (61–66%). The qualitative interviews documented significant variation in people’s experiences, suggesting that the lockdown’s effect on everyday life had not been altogether negative. Conclusions: People in Denmark seem to have managed the lockdown without alarming changes in their mental health. However, it is important to continue investigating the effects of the pandemic and various public-health measures on mental health over time and across national contexts.

Objective: This study systematically summarizes the evidence of all observational studies investigating the relation between accumulation of adverse life events and measures of overweight in children <18 years. Methods: MEDLINE, Embase, PsycINFO, and CINAHL were systematically searched (last search date 18 February 2015). The Newcastle-Ottawa Scale was used for methodological quality assessment. Study estimates were pooled using a random-effects model, and sources of heterogeneity were explored (PROSPERO registration number CRD42014014927). Results: Eighteen articles were included, containing five longitudinal (n = 6,361) and fourteen cross-sectional and case-control study results (n = 52,318). The pooled estimate of the longitudinal studies showed that accumulation of adverse life events is positively related to childhood overweight measures (OR [95% CI] = 1.12 [1.01-1.25]). Cross-sectional and case-control study results were heterogeneous. Subgroup analyses showed that cross-sectional and case-control studies using a continuous adverse events measure, studies using a continuous overweight measure, and studies in children >6-12 years also generated positive pooled estimates, while the pooled estimate of studies assessing recent adverse events (past 2 years) was indicative of no relation with overweight. Conclusions: Accumulation of adverse life events and childhood overweight measures are positively associated. However, increases in overweight measures in response to adverse childhood events do not seem to occur instantaneously.