ArticleObesity facts2022
Features of Childhood Growth, Lifestyle, and Environment Associated with a Cardiometabolic Risk Score in Young Adults.
Article in Obesity facts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn young adults, metabolic syndrome (MS) is rare. To better assess the risks for future cardiovascular disease (CVD), a cardiometabolic score can be used, ranking the disease risk in each subject. The score is a continuous variable, summarizing the individual z-scores for waist circumference, blood pressure, blood levels of glucose, triglycerides, and high-density-lipoprotein cholesterol. Our main aim was to assess the association between early childhood growth and the cardiometabolic score in young adults.
methodsStudy participants were recruited among subjects in the longitudinal population-based GrowUp 1990 Gothenburg study. Those with information on weight and length at birth, as well as weight, height, waist circumference, and parental body mass index (BMI) at 10 years of age were invited to participate in a health survey at 18-20 years of age. Five hundred and thirteen young adults (female 51%) were included. Multivariable linear stepwise regression analysis was applied.
resultsThe mean (standard deviation) BMI was 22.2 (3.26) in males and 21.3 (2.69) kg/m2 in females; the cardiometabolic score was 0.24 (3.12) and -0.22 (3.18), respectively. A statistically significantly higher score (p < 0.001) was seen in individuals with MS, as defined by IDF. After controlling for adult lifestyle features, the BMI z-score at 10 years of age was a significant risk factor in both sexes for an elevated cardiometabolic score in early adulthood with mean [standard error] beta 0.47 [0.19], p = 0.014 in males, and 0.82 [017], p < 0.0001 in females. In males, a high maternal BMI and low age at adiposity rebound and in females, high birth weight were also associated with a statistically significant risk. Additionally, contraceptive use in females was a risk factor for an elevated cardiometabolic score and in males, a high lifestyle-related index score showed a protective association with the cardiometabolic score.
conclusionA high BMI z-score at 10 years of age is a risk factor for the cardiometabolic state in young adults, an outcome pointing to the preventive potential of monitoring BMI in 10-year-old schoolchildren. This finding must however be validated in a new large cohort. Moreover, in young adults in whom MS is rare, the cardiometabolic score seems to be a promising and more powerful tool to detect risks for CVD later in life than using MS categorization.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.