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. 2020 Jun 17:13:2049-2055.
doi: 10.2147/DMSO.S245486. eCollection 2020.

Adult Obesity and Health-Related Quality of Life, Patient Activation, Work Productivity, and Weight Loss Behaviors in the United States

Affiliations

Adult Obesity and Health-Related Quality of Life, Patient Activation, Work Productivity, and Weight Loss Behaviors in the United States

Heather Rozjabek et al. Diabetes Metab Syndr Obes. .

Abstract

Introduction: While it is generally believed that people living with more severe obesity experience greater negative impacts on health-related quality of life (HRQoL), their experience may be impacted by other factors such as age, gender, and type 2 diabetes mellitus (T2DM).

Methods: The 36-Item Short Form Health Survey physical component score and mental component score, Work Productivity and Activity Impairment, and Patient Activation Measure® data from the 2018 National Health and Wellness Survey were analyzed in adults by body mass index (BMI) categories (normal weight: ≥18.5-<25kg/m2, overweight: ≥25-<30kg/m2, class 1 obesity: ≥30-<35kg/m2, class 2 obesity: ≥35-<40kg/m2, class 3 obesity: ≥40kg/m2, combined class 2/3 obesity: ≥35kg/m2). Findings were further stratified across age groups (young: 18-35y, middle-aged: 36-64y, older: ≥65y), by gender, and by T2DM status.

Results: Overall, as BMI increased people had greater negative effects on HRQoL, felt less involved with and in control of their healthcare, and had greater work productivity and activity impairments. The largest declines were generally observed between class 2 and 3 obesity categories. Young adults with obesity were more likely to feel less engaged with their health care than middle-aged/older adults with obesity. The effects of obesity on HRQoL and patient activation were generally consistent by gender. People with T2DM and obesity tended to have greater declines in physical functioning and more work and activity impairments than people with obesity without T2DM. The proportion of people trying to lose weight increased with increasing BMI category, and people with T2DM were less likely to exercise and more likely to diet than those without T2DM.

Conclusion: Increasing levels of obesity tended to have a greater negative impact on HRQoL, patient activation, work productivity, and weight loss behaviors, but some differences in effects by age, gender, and T2DM status were observed.

Keywords: HRQoL; activation; behaviors; health-related quality of life; obesity; productivity.

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Conflict of interest statement

H.R. and J.F. are full-time employees of Janssen Global Services, LLC. A.L. and N.S. are full-time employees of Kantar. The authors report no other conflicts of interest in this work.

Figures

Figure 1
Figure 1
NHWS Results by BMI Category (A) Mean SF-36v2, (B) PAM, and (C) WPAI Scores. Notes: aP<0.05 compared with normal weight. bP<0.05 compared with overweight. cP<0.05 compared with class 1 obesity. dP<0.05 compared with class 2 obesity. eP<0.05 compared with class 3 obesity. fP<0.05 compared with combined class 2/3 obesity. Abbreviations: BMI, body mass index; MCS, mental component score; NHWS, National Health and Wellness Survey; PAM®, Patient Activation Measure®; PCS, physical component score; SF-36v2, 36-Item Short Form Health Survey; WPAI, Work Productivity and Activity Impairment.

References

    1. Fastenau J, Kolotkin RL, Fujioka K, Alba M, Canovatchel W, Traina S. A call to action to inform patient-centred approaches to obesity management: development of a disease-illness model. Clin Obes. 2019;9(3):e12309. - PMC - PubMed
    1. Kantar Health. National Health and Wellness Survey: patient-reported healthcare insights. Available from: https://www.kantarhealth.com/docs/datasheets/kh-national-health-and-well.... Accessed August9, 2019.
    1. Maruish ME, ed. User’s Manual for the SF-36v2 Health Survey. 3rd ed. Lincoln (RI): QualityMetric, Inc; 2011.
    1. Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics. 1993;4(5):353–365. doi:10.2165/00019053-199304050-00006 - DOI - PubMed
    1. Insignia Health®. Patient Activation Measure® (PAM®). 2003-2017 University of Oregon. All rights reserved. Available from: https://www.insigniahealth.com/products/pam-survey. Accessed August9, 2019.