Cross-Sectional and Longitudinal Associations Between Psychosocial Well-Being and Cardiometabolic Markers in European Children and Adolescents

A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents

Childhood obesity is a complex disorder that appears to be influenced by an interacting system of many factors. Taking this complexity into account, we aim to investigate the causal structure underlying childhood obesity. Our focus is on identifying potential early, direct or indirect, causes of obesity which may be promising targets for prevention strategies. Using a causal discovery algorithm, we estimate a cohort causal graph (CCG) over the life course from childhood to adolescence. We adapt a popular method, the so-called PC-algorithm, to deal with missing values by multiple imputation, with mixed discrete and continuous variables, and that takes background knowledge such as the time-structure of cohort data into account. The algorithm is then applied to learn the causal structure among 51 variables including obesity, early life factors, diet, lifestyle, insulin resistance, puberty stage and cultural background of 5112 children from the European IDEFICS/I.Family cohort across three waves (2007-2014). The robustness of the learned causal structure is addressed in a series of alternative and sensitivity analyses; in particular, we use bootstrap resamples to assess the stability of aspects of the learned CCG. Our results suggest some but only indirect possible causal paths from early modifiable risk factors, such as audio-visual media consumption and physical activity, to obesity (measured by age- and sex-adjusted BMI z-scores) 6 years later.

Adolescent Psychological Assets and Cardiometabolic Health Maintenance in Adulthood: Implications for Health Equity

Background Positive cardiometabolic health (CMH) is defined as meeting recommended levels of multiple cardiometabolic risk factors in the absence of manifest disease. Prior work finds that few individuals-particularly members of minoritized racial and ethnic groups-meet these criteria. This study investigated whether psychological assets help adolescents sustain CMH in adulthood and explored interactions by race and ethnicity. Methods and Results Participants were 3478 individuals in the National Longitudinal Study of Adolescent Health (49% female; 67% White, 15% Black, 11% Latinx, 6% other [Native American, Asian, or not specified]). In Wave 1 (1994-1995; mean age=16 years), data on 5 psychological assets (optimism, happiness, self-esteem, belongingness, and feeling loved) were used to create a composite asset index (range=0-5). In Waves 4 (2008; mean age=28 years) and 5 (2016-2018; mean age=38 years), CMH was defined using 7 clinically assessed biomarkers. Participants with healthy levels of ≥6 biomarkers at Waves 4 and 5 were classified as maintaining CMH over time. The prevalence of CMH maintenance was 12%. Having more psychological assets was associated with better health in adulthood (odds ratio [OR]_{linear trend}, 1.12 [95% CI, 1.01-1.25]). Subgroup analyses found substantive associations only among Black participants (OR, 1.35 [95% CI, 1.00-1.82]). Additionally, there was some evidence that racial and ethnic disparities in CMH maintenance may be less pronounced among participants with more assets. Conclusions Youth with more psychological assets were more likely to experience favorable CMH patterns 2 decades later. The strongest associations were observed among Black individuals. Fostering psychological assets in adolescence may help prevent cardiovascular disease and play an underappreciated role in shaping health inequities.

Psychological Well-Being in Childhood and Cardiometabolic Risk in Middle Adulthood: Findings From the 1958 British Birth Cohort

Childhood adversity is linked to poor cardiometabolic outcomes, but less is known about positive childhood factors. Using data from 4,007 members of the 1958 British Birth Cohort, we investigated whether children with greater psychological well-being had lower adulthood cardiometabolic risk. At age 11, participants wrote essays about their future. Two judges rated each essay for nine psychological well-being items (Finn's r = .82-.91), which were combined into a standardized overall score (Cronbach's α = .91). When participants reached age 45, nurses assessed their blood pressure, heart rate, lipids, glycosylated hemoglobin, fibrinogen, and C-reactive protein, which were standardized and summed for total cardiometabolic risk. Regressions indicated that children with greater psychological well-being had lower cardiometabolic risk (b = -0.14, 95% confidence interval [CI] = [-0.28, -0.006]): specifically, healthier total cholesterol (b = -0.04, 95% CI = [-0.07, -0.003]) and triglycerides (b = -0.06, 95% CI = [-0.09, -0.02]). Childhood psychological well-being may promote adulthood cardiometabolic health.

Media use trajectories and risk of metabolic syndrome in European children and adolescents: the IDEFICS/I.Family cohort

Background

Media use may influence metabolic syndrome (MetS) in children. Yet, longitudinal studies are scarce. This study aims to evaluate the longitudinal association of childhood digital media (DM) use trajectories with MetS and its components.

Methods

Children from Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain and Sweden participating in the IDEFICS/I.Family cohort were examined at baseline (W1: 2007/2008) and then followed-up at two examination waves (W2: 2009/2010 and W3: 2013/2014). DM use (hours/day) was calculated as sum of television viewing, computer/game console and internet use. MetS z-score was calculated as sum of age- and sex-specific z-scores of four components: waist circumference, blood pressure, dyslipidemia (mean of triglycerides and HDL-cholesterol⁻¹) and homeostasis model assessment for insulin resistance (HOMA-IR). Unfavorable monitoring levels of MetS and its components were identified (cut-off: ≥ 90^th percentile of each score). Children aged 2–16 years with ≥ 2 observations (W1/W2; W1/W3; W2/W3; W1/W2/W3) were eligible for the analysis. A two-step procedure was conducted: first, individual age-dependent DM trajectories were calculated using linear mixed regressions based on random intercept (hours/day) and linear slopes (hours/day/year) and used as exposure measures in association with MetS at a second step. Trajectories were further dichotomized if children increased their DM duration over time above or below the mean.

Results

10,359 children and adolescents (20,075 total observations, 50.3% females, mean age = 7.9, SD = 2.7) were included. DM exposure increased as children grew older (from 2.2 h/day at 2 years to 4.2 h/day at 16 years). Estonian children showed the steepest DM increase; Spanish children the lowest. The prevalence of MetS at last follow-up was 5.5%. Increasing media use trajectories were positively associated with z-scores of MetS (slope: β = 0.54, 95%CI = 0.20–0.88; intercept: β = 0.07, 95%CI = 0.02–0.13), and its components after adjustment for puberty, diet and other confounders. Children with increasing DM trajectories above mean had a 30% higher risk of developing MetS (slope: OR = 1.30, 95%CI = 1.04–1.62). Boys developed steeper DM use trajectories and higher risk for MetS compared to girls.

Conclusions

Digital media use appears to be a risk factor for the development of MetS in children and adolescents. These results are of utmost importance for pediatricians and the development of health policies to prevent cardio-metabolic disorders later in life.

Trial registration

ISRCTN, ISRCTN62310987. Registered 23 February 2018- retrospectively registered.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-021-01186-9.