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:ObjectivesAssociations between BMI and health-related quality of life (HRQoL) in SLE have been implied, but data are scarce. We determined the impact of overweight and obesity on HRQoL in a large SLE population.MethodsWe pooled cross-sectional baseline data from the BLISS-52 (NCT00424476) and BLISS-76 (NCT00410384) trials (N = 1684). HRQoL was evaluated using the 36-item Short Form Health Survey (SF-36), Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue scale and the European Quality of Life 5-dimension questionnaire (EQ-5D). Comparisons between BMI groups were conducted using the Mann-Whitney U test and adjustments using linear regression. Clinical relevance was determined by minimal clinically important differences (MCIDs).ResultsIn total, 43.2% of the patients had BMI above normal and 17.4% were obese. Overweight and obese patients reported worse SF-36 physical component summary (PCS), physical functioning, role physical, bodily pain and FACIT-Fatigue scores than normal weight patients. Divergences were greater than corresponding MCIDs and more prominent with increasing BMI. Despite no clinically important difference in SF-36 mental component summary scores across BMI categories, patients experienced progressively diminished vitality and social functioning with increasing BMI. In linear regression analysis, BMI above normal and obesity were associated with worse PCS (standardized coefficient β = -0.10, P < 0.001 and β = -0.17, P < 0.001, respectively), FACIT-Fatigue (β = -0.11, P < 0.001 and β = -0.16, P < 0.001) and EQ-5D (β = -0.08, P = 0.001 and β = -0.12, P < 0.001) scores, independently of demographic and disease-related factors. The impact of BMI on the PCS and FACIT-Fatigue was more pronounced than that of SLE activity.ConclusionPatients with SLE and BMI above normal experienced clinically important HRQoL diminutions in physical aspects, fatigue and social functioning. A survey of potential causality underlying this association is warranted.

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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