A real-world evaluation of a tertiary care childhood obesity intervention to reduce metabolic risk in a hard-to-reach urban population

Evaluation of a Childhood Obesity Program Serving a High-Need Population in Brooklyn, New York Using Survival Analysis

In this study, we used survival analysis to evaluate whether contact hours intensity was associated with a reduction in time to improvement of various BMI metrics over a 5-year follow-up period at the Live Light Live Right pediatric obesity program in Brooklyn, New York. This was a single-center retrospective longitudinal study of 406 patients during 2010-2016. Participants were categorized based on hours of exposure to Live Light Live Right's interventions; high contact hours (≥50 h) vs. low contact hours (<50 h). At baseline, 88% of patients in the high contact hour group had severe obesity and the mean age for this group was 10.0 ± 2.66. High contact hours were independently associated with a shorter time to BMI improvement in the sample. There was also a significant association between high contact hours and a longer duration in the improved state. Survival analysis was successful in evaluating the efficacy of the Live Light Live Right Program and demonstrated a positive association between greater intervention intensity and a healthier metabolic profile. Patients' active engagement in a robust treatment model exemplified by Live Light Live Right is recommended to address the childhood obesity crisis in central Brooklyn.

Effects of risk factor numbers on the development of the metabolic syndrome

This study was performed to identify the factors affecting the develop-ment of metabolic syndrome by comparing the numbers of risk factors of the syndrome and by identifying the factors influencing the develop-ment of metabolic syndrome. Two hundred forty-eight health screening of examinee were used for the study (101 males, 147 females). Diagnostic basis ratio of metabolic syndrome risk factors showed that 35.1% of the subjects had abdominal obesity, 32.7% for high blood pressure, 66.1% for high insulin blood sugar, 43.1% for high triglyceride lipidemia, and 7.3% for low high-density lipoprotein lipidemia. No significant difference of the incidence of metabolic syndrome was found between gender. The diagnostic number for male was the highest with 1 risk factor (31.7%) while the highest with 2 factors (30.6%) in female. Significant differences were found in age and body mass index (BMI) between normal group with no risk factor and metabolic syndrome group. There was significant difference in BMI between the syndrome group with 1 risk factor and 3 risk factors. BMI was significantly higher (5.282 times) compared to their counterpart (P<0.001). Significant difference was found in BMI between 2 risk factors and the syndrome group with more than 3 risk factors and the incidence was higher (4.094 times) in the overweight group than their counterpart (P<0.001).

Epidemiology, Predisposing Factors, Biomarkers, and Prevention Mechanism of Obesity: A Systematic Review

Background. Globally, obesity is becoming a public health problem in the general population. Various determinants were reported by different scholars even though there are inconsistencies. Different biomarkers of obesity were identified for the prediction of obesity. Even though researchers speculate the factors, biomarkers, consequences, and prevention mechanisms, there is a lack of aggregate and purified data in the area of obesity. Summary. In this review, the epidemiology, predisposing factors, biomarkers, consequences, and prevention approaches of obesity were reviewed. Key Messages. The epidemiology of obesity increased in low-, middle-, and high-income countries. Even if the factors vary across regions and socioeconomic levels, sociodemographic, behavioral, and genetic factors were prominent for the development of obesity. There are a lot of biomarkers for obesity, of which microRNA, adipocytes, oxidative stress, blood cell profile, nutrients, and microbiota were promising biomarkers for determination of occurrence of obesity. Since the consequences of obesity are vast and interrelated, multidimensional prevention strategy is mandatory in all nations.