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Journal of General Internal Medicine

, Volume 34, Issue 9, pp 1775–1781 | Cite as

Understanding Primary Care Patients’ Self-weighing Habits: Cohort Analysis from the PaTH Clinical Data Research Network

  • Carolyn T. Bramante
  • Kathleen M. McTigue
  • Harold P. Lehmann
  • Jeanne M. Clark
  • Scott Rothenberger
  • Jennifer Kraschnewski
  • Michelle R. Lent
  • Sharon J. Herring
  • Molly B. Conroy
  • Jody McCullough
  • Wendy L. Bennett
Original Research

Abstract

Background

Greater than 60% of adults have overweight or obesity. Self-weighing is an effective weight loss and weight maintenance tool. However, little is known about self-weighing habits among the primary care patient population. Our objective was to examine the frequency of patient-reported self-weighing, and to evaluate the associations of self-weighing with demographic characteristics and self-monitoring behaviors.

Methods

We conducted an analysis of survey data collected as part of the PaTH Clinical Data Research Network, which recruited a cohort of 1,021 primary care patients at 4 academic medical centers. Patients of all body mass index (BMI) categories were included.

Results

Response rate of 6-month survey was 727 (71%). The mean age was 56 years, and most were female (68%), White (78%), college graduates (66%), and employed/retired (85%). The mean BMI was 30.2 kg/m2, 80% of participants had a BMI ≧ 25 kg/m2. Of patients with BMI ≧ 25 kg/m2, 35% of participants self-weighed weekly and 23% daily. Participants who reported self-weighing at least weekly were more likely to be older (59 vs 54 years, p < 0.01), married (p = 0.01), college graduates (p = 0.03), White (p < 0.01), and employed vs disabled/unemployed (p < 0.01). Patients who self-weighed daily had a lower BMI (29 kg/m2 vs 31 kg/m2, p = 0.04). Patients who tracked exercise or food intake were more likely to self-weigh daily (p < 0.01), as were patients wanting to lose or maintain weight (p < 0.01).

Conclusions

Despite its potential for primary and secondary obesity prevention, only 35% of primary care patients with overweight or obesity engage in self-weighing weekly and less than a quarter (23%) self-weigh daily. Socioeconomic status appears to be a factor influencing regular self-weighing in this population, potentially contributing to greater health disparities in obesity rates. Patients who self-weighed daily had a lower BMI, suggesting that it may play a role in primary prevention of obesity. More work is needed to explore self-weighing among patients.

KEY WORDS

self-weighing obesity weight loss primary care self-monitoring 

Notes

Funding Source

This work was funded through a Patient-Centered Outcomes Research Institute (PCORI) Award (PCORI CDRN no. 1306-04912) for development of the National Patient-Centered Clinical Research Network, known as PCORnet. Dr. Bramante was funded by the Behavioral Research in Heart and Vascular Disease Program Fellowship Training Program (T32HL007180-41A1; PI: Levine, David). The views presented in this article are solely the responsibility of the author(s) and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute (PCORI), its Board of Governors or Methodology Committee, or other participants in PCORnet.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Supplementary material

11606_2019_5153_MOESM1_ESM.docx (47 kb)
ESM 1 (DOCX 46 kb)

References

  1. 1.
    Hales CM, Fryar CD, Carroll MD, Freedman DS, Ogden CL. Trends in Obesity and Severe Obesity Prevalence in US Youth and Adults by Sex and Age, 2007-2008 to 2015-2016. JAMA. 2018;319(16):1723–1725.CrossRefGoogle Scholar
  2. 2.
    Jensen MD, Ryan DH, Apovian CM, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. J Am Coll Cardiol. 2014;63(25 Pt B):2985–3023.CrossRefGoogle Scholar
  3. 3.
    Macumber I, Schwartz S, Leca N. Maternal obesity is associated with congenital anomalies of the kidney and urinary tract in offspring. Pediatr Nephrol. 2016.Google Scholar
  4. 4.
    Mitchell A, Fantasia HC. Understanding the Effect of Obesity on Fertility Among Reproductive-Age Women. Nurs Womens Health. 2016;20(4):368–376.CrossRefGoogle Scholar
  5. 5.
    Simeone RM, Tinker SC, Gilboa SM, et al. Proportion of selected congenital heart defects attributable to recognized risk factors. Ann Epidemiol. 2016;26(12):838–845.CrossRefGoogle Scholar
  6. 6.
    Flegal KM, Graubard BI, Williamson DF, Gail MH. Cause-specific excess deaths associated with underweight, overweight, and obesity. JAMA. 2007;298(17):2028–2037.CrossRefGoogle Scholar
  7. 7.
    Go AS, Mozaffarian D, Roger VL, et al. Heart disease and stroke statistics--2014 update: a report from the American Heart Association. Circulation. 2014;129(3):e28-e292.PubMedPubMedCentralGoogle Scholar
  8. 8.
    Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284–2291.CrossRefGoogle Scholar
  9. 9.
    Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111(1):92–102.CrossRefGoogle Scholar
  10. 10.
    Bandura A, Schunk DH. Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. J Pers Soc Psychol. 1981;41(3):586–598.CrossRefGoogle Scholar
  11. 11.
    Kozak AT, Buscemi J, Hawkins MA, et al. Technology-based interventions for weight management: current randomized controlled trial evidence and future directions. J Behav Med. 2017;40(1):99–111.CrossRefGoogle Scholar
  12. 12.
    Butryn ML, Phelan S, Hill JO, Wing RR. Consistent self-monitoring of weight: a key component of successful weight loss maintenance. Obesity (Silver Spring, Md). 2007;15(12):3091–3096.CrossRefGoogle Scholar
  13. 13.
    Helander EE, Vuorinen AL, Wansink B, Korhonen IK. Are breaks in daily self-weighing associated with weight gain? PloS One. 2014;9(11):e113164.CrossRefGoogle Scholar
  14. 14.
    VanWormer JJ, Martinez AM, Martinson BC, et al. Self-weighing promotes weight loss for obese adults. Am J Prev Med. 2009;36(1):70–73.CrossRefGoogle Scholar
  15. 15.
    Zheng Y, Klem ML, Sereika SM, Danford CA, Ewing LJ, Burke LE. Self-weighing in weight management: a systematic literature review. Obesity (Silver Spring, Md). 2015;23(2):256–265.CrossRefGoogle Scholar
  16. 16.
    Painter SL, Ahmed R, Hill JO, et al. What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring. J Med Internet Res. 2017;19(5):e160.CrossRefGoogle Scholar
  17. 17.
    Steinberg DM, Bennett GG, Askew S, Tate DF. Weighing every day matters: daily weighing improves weight loss and adoption of weight control behaviors. J Acad Nutr Diet. 2015;115(4):511–518.CrossRefGoogle Scholar
  18. 18.
    Steinberg DM, Tate DF, Bennett GG, Ennett S, Samuel-Hodge C, Ward DS. The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail. Obesity (Silver Spring). 2013;21(9):1789–1797.PubMedCentralPubMedGoogle Scholar
  19. 19.
    Garvey WT, Mechanick JI, Brett EM, et al. American association of clinical endocrinologists and american college of endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity. Endocr Pract. 2016;22 Suppl 3:1–203.CrossRefGoogle Scholar
  20. 20.
    Amin W, Tsui FR, Borromeo C, et al. PaTH: towards a learning health system in the Mid-Atlantic region. J Am Med Inform Assoc. 2014;21(4):633–636.CrossRefGoogle Scholar
  21. 21.
    Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–381.CrossRefGoogle Scholar
  22. 22.
    Vitolins MZ, Anderson AM, Delahanty L, et al. Action for Health in Diabetes (Look AHEAD) trial: baseline evaluation of selected nutrients and food group intake. J Am Diet Assoc. 2009;109(8):1367–1375.CrossRefGoogle Scholar
  23. 23.
    Steeves JA, Liu B, Willis G, Lee R, Smith AW. Physicians' personal beliefs about weight-related care and their associations with care delivery: The U.S. National Survey of Energy Balance Related Care among Primary Care Physicians. Obes Res Clin Pract. 2015;9(3):243–255.CrossRefGoogle Scholar
  24. 24.
    Roger VL. Epidemiology of heart failure. Circ Res. 2013;113(6):646–659.CrossRefGoogle Scholar
  25. 25.
    Maukonen M, Mannisto S, Tolonen H.. A comparison of measured versus self-reported anthropometrics for assessing obesity in adults: a literature review. Scand J Public Health. 2018;46(5):565–579.CrossRefGoogle Scholar

Copyright information

© Society of General Internal Medicine 2019

Authors and Affiliations

  • Carolyn T. Bramante
    • 1
    • 2
  • Kathleen M. McTigue
    • 3
  • Harold P. Lehmann
    • 4
  • Jeanne M. Clark
    • 5
  • Scott Rothenberger
    • 3
  • Jennifer Kraschnewski
    • 6
  • Michelle R. Lent
    • 7
  • Sharon J. Herring
    • 8
  • Molly B. Conroy
    • 9
  • Jody McCullough
    • 6
  • Wendy L. Bennett
    • 5
  1. 1.Division of General Internal MedicineUniversity of MinnesotaMinneapolisUSA
  2. 2.Department of PediatricsUniversity of MinnesotaMinneapolis, MNUSA
  3. 3.Division of General Internal MedicineUniversity of Pittsburgh School of MedicinePittsburghUSA
  4. 4.Division of Health InformaticsJohns Hopkins School of MedicineBaltimoreUSA
  5. 5.Division of General Internal MedicineJohns Hopkins School of MedicineBaltimoreUSA
  6. 6.Department of MedicinePenn State UniversityState CollegeUSA
  7. 7.Geisinger Health SystemDanville, PAUSA
  8. 8.Center for Obesity Research and EducationLewis Katz School of Medicine at Temple UniversityPhiladelphiaUSA
  9. 9.Division of General Internal MedicineUniversity of Utah School of MedicineSalt Lake CityUSA

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