A Systematic Review of the Long-Term Trajectory of Hemodynamics and Body Composition in Childhood Obesity
Bibliographic record
Abstract
Obesity has long been cited as a significant risk factor for high blood pressure, with long-term exposure linked with an increased incidence of carotid artery atherosclerosis. However, as obesity is becoming more common in young-aged children, it is important to recognize combinational factors like lifestyle, socioeconomic, and genetic factors as a cause. Increasing weight during childhood, on the other hand, is a clinically significant challenge for many physicians. It is critical to identify these risk factors since early prevention (primordial prevention) or treatment (primary prevention) to reverse the potential risks is much more likely to be effective. The objective of this review was to explore the relationship between lifestyle, anthropometric, and genetic factors and cardiometabolic risk factors. We are hopeful that our findings may aid in the primary prevention of hypertension in children and the prevention of any related cardiovascular complications that may arise later in life as a result of obesity. The synthesis of this systematic review includes a total of 15 studies using defined criteria, published up to October 2021. In addition, a total of 2,397 articles were found through an initial electronic database search and included a total of 38,182 participants. Studies explored included one or more of the following cardiovascular risk factors: body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides (TG). The findings of this study support the notion that childhood obesity may be a risk factor for a variety of adult cardiovascular disease risk factors. Several behavioral, genetic, and anthropometric factors are linked to the development of obesity during early ages, overall creating challenges in cardiovascular health during adulthood. As a result, addressing the risk factors for childhood hypertension would be advantageous for the primary prevention of its sequelae in adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.010 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".