BackgroundAlthough many cross-sectional studies reported that children with overweight or obesity show more food approaching and less food avoidant eating behaviors, there is a lack of replication in longitudinal studies. Therefore, the question remains whether healthcare professionals should target eating behaviors in childhood obesity interventions and prevention. We aimed to examine the longitudinal and possible bi-directional associations between eating behavior and body composition across childhood.MethodsData was included from 3331 children participating in the Generation R Study. At 4 and 10 years, mothers reported on the Child Eating Behavior Questionnaire including the subscales Food Responsiveness, Enjoyment of Food, Emotional Overeating and Satiety Responsiveness, and children’s BMI was measured. Body composition, consisting of Fat Mass Index and Fat Free Mass Index was measured at 6 and 10 years with Dual-energy-X-ray-Absorptiometry scans.ResultsCross-lagged models including both directions of the BMI – eating behavior association showed that a higher BMI at the age of 4 years predicted more food responsiveness and enjoyment of food and less satiety responsiveness at 10 years (e.g. satiety responsiveness:β = − 0.10, 95% CI = − 0.14, − 0.07), but no associations were found in the opposite direction. For emotional overeating, however, a bi-directional association was found with BMI predicting more emotional eating and vice versa. Multivariable linear regression analyses showed that associations were stronger for Fat Mass Index than for Fat Free Mass Index.ConclusionsResults showed that a higher BMI, and particularly higher fat mass, at pre-school age predicted more food approaching and less food avoidant eating behaviors at the age of 10 years, rather than the hypothesized reverse direction. This suggests that increased adiposity in early childhood might upregulate appetite and related eating behaviors.Electronic supplementary materialThe online version of this article (10.1186/s12966-018-0725-x) contains supplementary material, which is available to authorized users.
Objective
Favorable cardiovascular health is associated with greater longevity free of cardiovascular disease. Although the prevalence of cardiovascular health decreases with age, less is known about protective factors that promote and preserve it over time. We investigated whether optimism was associated with better cardiovascular health over a 10-year period.
Methods
Participants included 3188 Black and White men and women from the Coronary Artery Risk Development in Young Adults study. Self-reported optimism was assessed in 2000 (this study’s baseline) with the revised Life Orientation Test. Favorable cardiovascular health was defined by healthy status on five components of cardiovascular functioning that were repeatedly assessed through 2010 either clinically or via self-report (blood pressure, lipids, body mass index, diabetes, and smoking status). Linear mixed-effects models examined whether optimism predicted cardiovascular health over time, adjusting for covariates such as sociodemographic characteristics, health behaviors, health status, and depression diagnosis.
Results
In models adjusting for sociodemographic characteristics, optimism was associated with better cardiovascular health across all time points (β = 0.08, 95% confidence interval = 0.04–0.11, p ≤ .001) but not with rate of change in cardiovascular health. Findings were similar when adjusting for additional covariates. Optimism did not interact significantly with race (p = .85) but did with sex, such that associations seemed stronger for women than for men (p = .03).
Conclusions
Optimism may contribute to establishing future patterns of cardiovascular health in adulthood, but other factors may be more strongly related to how slowly or quickly cardiovascular health deteriorates over time.
BACKGROUND: Research shows that the development of cardiometabolic disease can begin early in life with risk factors accumulating over time, but less is known about protective pathways to positive health. In this study, we use prospective data to test whether childhood assets predict a greater likelihood of being in optimal cardiometabolic health by age 17. METHODS: Data are from 3074 participants in the Avon Longitudinal Study of Parents and Children (mean age = 17.8). Four childhood assets were prospectively assessed via cognitive tests and parent report when children were between ages 8 and 10: strong executive functioning skills, prosocial behaviors, and low levels of internalizing and externalizing problems. Cardiometabolic health was assessed at ages 9 and 17 by using a composite dysregulation score derived from multiple biological parameters, including cholesterol, blood pressure, C-reactive protein, insulin resistance, and BMI. Associations between assets and optimal health at age 17 (ie, a dysregulation score of #1) were evaluated with Poisson regression models with robust error variances. RESULTS: After controlling for covariates (including sociodemographics, correlates of cardiometabolic health, and dysregulation scores at age 9), participants with multiple assets were 1.08 to 1.27 times more likely to be in optimal cardiometabolic health at age 17 compared with those with 0 or 1 asset. Each additional asset conferred a 6% greater likelihood of optimal health over time (relative risk = 1.06 [95% confidence interval: 1.01 to 1.11]). CONCLUSIONS: Childhood assets predicted cardiometabolic health with seemingly cumulative impacts. Identifying early assets may provide novel targets for prevention and elucidate pathways to positive adult health.
Although a statistically significant difference was detected between the visual acuity of radiologists in the morning and acuity in other parts of the day, this difference was relatively modest and within previously published ranges of variability for similar visual acuity tests. It is unlikely that such variation in visual acuity among radiologists influences diagnostic performance. Not every radiologist had 20/20 vision, a few needed visual correction, and more than a few had not undergone a thorough eye examination for as many as 15 years before the study.
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.
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