Dataset Information

The Additional Costs and Health Effects of a Patient Having Overweight or Obesity: A Computational Model.

ABSTRACT:

Objective

This paper estimates specific additional disease outcomes and costs that could be prevented by helping a patient go from an obesity or overweight category to a normal weight category at different ages. This information could help physicians, other health care workers, patients, and third-party payers determine how to prioritize weight reduction.

Methods

A computational Markov model was developed that represented the BMI status, chronic health states, health outcomes, and associated costs (from various perspectives) for an adult at different age points throughout his or her lifetime.

Results

Incremental costs were calculated for adult patients with obesity or overweight (vs. normal weight) at different starting ages. For example, for a metabolically healthy 20-year-old, having obesity (vs. normal weight) added lifetime third-party payer costs averaging $14,059 (95% range: $13,956-$14,163), productivity losses of $14,141 ($13,969-$14,312), and total societal costs of $28,020 ($27,751-$28,289); having overweight vs. normal weight added $5,055 ($4,967-$5,144), $5,358 ($5,199-$5,518), and $10,365 ($10,140-$10,590). For a metabolically healthy 50-year-old, having obesity added $15,925 ($15,831-$16,020), $20,120 ($19,887-$20,352), and $36,278 ($35,977-$36,579); having overweight added $5,866 ($5,779-$5,953), $10,205 ($9,980-$10,429), and $16,169 ($15,899-$16,438).

Conclusions

Incremental lifetime costs of a patient with obesity or overweight (vs. normal weight) increased with the patient's age, peaked at age 50, and decreased with older ages. However, weight reduction even in older adults still yielded incremental cost savings.

SUBMITTER: Fallah-Fini S

PROVIDER: S-EPMC5679120 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Publications

The Additional Costs and Health Effects of a Patient Having Overweight or Obesity: A Computational Model.

Fallah-Fini Saeideh S Adam Atif A Cheskin Lawrence J LJ Bartsch Sarah M SM Lee Bruce Y BY

Obesity (Silver Spring, Md.) 20171001 10

<h4>Objective</h4>This paper estimates specific additional disease outcomes and costs that could be prevented by helping a patient go from an obesity or overweight category to a normal weight category at different ages. This information could help physicians, other health care workers, patients, and third-party payers determine how to prioritize weight reduction.<h4>Methods</h4>A computational Markov model was developed that represented the BMI status, chronic health states, health outcomes, and ...[more]

PMID: 28948718

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Project description:Background: The current knowledge about the molecular mechanisms underlying the health benefits of exercise is still limited, especially in the pediatric population. We set out to investigate the effect of a 20-week exercise intervention on whole blood transcriptome profile (RNA-seq) in children with overweight/obesity. Methods: Twenty-four pre-pubertal children (10.21 ± 1.33 years, 46% girls) with overweight/obesity, were randomized to either a 20-week exercise program (intervention group; n=10), or to a non-exercise control group (usual lifestyle, n=14). Whole blood transcriptome profile was analysed using RNA-seq STRT2 technique. Gene expression analysis was carried out with the Limma R/Bioconductor software package, and the gene ontology (GO) and pathway enrichment analyses were performed using R. Ingenuity Pathway Analysis (IPA) was performed for gene network detection. The transcriptome data were in silico validated using PHENOPEDIA and meta-analysis database extrameta.org. Results: 161 genes were differentially expressed between the exercise and the control groups among boys, and 121 genes among girls (p-value < 0.05), while after multiple correction, no significant difference between groups persisted in gene expression profiles (FDR > 0.05). Based on non-corrected analyses, the enriched GO processes and molecular pathways highlighted the effect of exercise on different immune response related pathways in boys (antigen processing and presentation, infections, and T cell receptor complex) and girls (Fc epsilon RI signaling pathway) (FDR < 0.05). In silico data mining and validation analyses (using PHENOPEDIA and meta-analysis database extrameta.org) highlight top genes regulated by exercise such as CD6, HLA-C, TNFRSF1A, MYD88, and NFKBIA genes in boys and RAC1, ANXA6, FYN, INPP5D, PIK3CD and SPARC genes in girls. Conclusion: These results suggest that 20-week exercise program influences different immune processes in children with overweight/obesity. The transcriptome differences between boys and girls could partly be explained, in addition to the gender differences, by the distinct intensity in the exercise intervention as boys had stronger exercise stimulus in training. Our findings should be considered exploratory and preliminary given the relatively small sample size. Larger and more powered randomized controlled trials should confirm or contrast our findings.

Dataset Information

The Additional Costs and Health Effects of a Patient Having Overweight or Obesity: A Computational Model.

Objective

Methods

Results

Conclusions

Publications

The Additional Costs and Health Effects of a Patient Having Overweight or Obesity: A Computational Model.

Similar Datasets

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