Literature DB >> 31313111

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

Carolyn T Bramante1,2, Kathleen M McTigue3, Harold P Lehmann4, Jeanne M Clark5, Scott Rothenberger3, Jennifer Kraschnewski6, Michelle R Lent7, Sharon J Herring8, Molly B Conroy9, Jody McCullough6, Wendy L Bennett5.   

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.

Entities:  

Keywords:  obesity; primary care; self-monitoring; self-weighing; weight loss

Mesh:

Year:  2019        PMID: 31313111      PMCID: PMC6712152          DOI: 10.1007/s11606-019-05153-w

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  24 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Trends in Obesity Among Adults in the United States, 2005 to 2014.

Authors:  Katherine M Flegal; Deanna Kruszon-Moran; Margaret D Carroll; Cheryl D Fryar; Cynthia L Ogden
Journal:  JAMA       Date:  2016-06-07       Impact factor: 56.272

Review 3.  Self-weighing in weight management: a systematic literature review.

Authors:  Yaguang Zheng; Mary Lou Klem; Susan M Sereika; Cynthia A Danford; Linda J Ewing; Lora E Burke
Journal:  Obesity (Silver Spring)       Date:  2014-12-17       Impact factor: 5.002

4.  Weighing every day matters: daily weighing improves weight loss and adoption of weight control behaviors.

Authors:  Dori M Steinberg; Gary G Bennett; Sandy Askew; Deborah F Tate
Journal:  J Acad Nutr Diet       Date:  2015-02-12       Impact factor: 4.910

Review 5.  A comparison of measured versus self-reported anthropometrics for assessing obesity in adults: a literature review.

Authors:  Mirkka Maukonen; Satu Männistö; Hanna Tolonen
Journal:  Scand J Public Health       Date:  2018-03-10       Impact factor: 3.021

6.  Cause-specific excess deaths associated with underweight, overweight, and obesity.

Authors:  Katherine M Flegal; Barry I Graubard; David F Williamson; Mitchell H Gail
Journal:  JAMA       Date:  2007-11-07       Impact factor: 56.272

7.  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.

Authors:  Jeremy A Steeves; Benmei Liu; Gordon Willis; Richard Lee; Ashley Wilder Smith
Journal:  Obes Res Clin Pract       Date:  2014-08-28       Impact factor: 2.288

Review 8.  Epidemiology of heart failure.

Authors:  Véronique L Roger
Journal:  Circ Res       Date:  2013-08-30       Impact factor: 17.367

9.  Are breaks in daily self-weighing associated with weight gain?

Authors:  Elina E Helander; Anna-Leena Vuorinen; Brian Wansink; Ilkka K J Korhonen
Journal:  PLoS One       Date:  2014-11-14       Impact factor: 3.240

10.  The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail.

Authors:  Dori M Steinberg; Deborah F Tate; Gary G Bennett; Susan Ennett; Carmen Samuel-Hodge; Dianne S Ward
Journal:  Obesity (Silver Spring)       Date:  2013-07-02       Impact factor: 5.002

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  2 in total

1.  Minority and low-income patients are less likely to have a scale for self-weighing in their home: A survey in primary care.

Authors:  Carolyn T Bramante; Grace Lee; Safira S Amsili; Jennifer A Linde; Sean M Phelan; Lawrence J Appel; Wendy L Bennett; Jeanne M Clark; Kimberly A Gudzune
Journal:  Clin Obes       Date:  2020-05-07

2.  Self-Weighing Behaviors of Diverse Community-Dwelling Adults Motivated for a Lifestyle Change.

Authors:  Yoshimi Fukuoka; Yoo-Jung Oh
Journal:  Int J Environ Res Public Health       Date:  2022-04-26       Impact factor: 4.614

  2 in total

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