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Leonard KS, Pauley AM, Guo P, Hohman EE, Rivera DE, Savage JS, Downs DS. Feasibility and user acceptability of Breezing ™, a mobile indirect calorimetry device, in pregnant women with overweight or obesity. SMART HEALTH (AMSTERDAM, NETHERLANDS) 2023; 27:100372. [PMID: 36687500 PMCID: PMC9851426 DOI: 10.1016/j.smhl.2022.100372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Emerging evidence has suggested that prenatal resting energy expenditure (REE) may be an important determinant of gestational weight gain. Advancements in technology such as the real-time, mobile indirect calorimetry device (Breezing™) have offered the novel opportunity to continuously assess prenatal REE while also potentially capturing fluctuations in REE. The purpose of this study was to examine feasibility and user acceptability of Breezing™ to assess weekly REE from 8-36 weeks gestation in pregnant women with overweight or obesity participating in the Healthy Mom Zone intervention study. Participants (N=27) completed REE assessments once per week from 8-36 gestation using Breezing™. Feasibility of the device was calculated as compliance (# of weeks used/total # of weeks). User acceptability was measured by asking women to report on the device's enjoyability and barriers. Median compliance was 68%. However, when weeks women experienced technical difficulties (11 of 702 total events) and the device was unavailable were removed (13 of 702 total events), median compliance increased to 71%. Over half (56%) of the women reported that the device was enjoyable or they had neutral feelings about it whereas the remaining 44% reported that it was not enjoyable. The most common barrier reported (44%) was the experience of technical issues. Study compliance data suggest the feasibility of using Breezing™ to assess prenatal REE is promising. However, acceptability data suggest future interventionists should develop transparent and informative protocols to address any barriers prior to implementing the device to increase use.
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Affiliation(s)
- Krista S Leonard
- College of Health Solutions, Arizona State University, 425 N 5 St, Phoenix, AZ, 85004, USA
| | - Abigail M Pauley
- Department of Kinesiology, The Pennsylvania State University, 268 Recreation Building, University Park, PA, 16802, USA
| | - Penghong Guo
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Engineering Research Center, 974 S. Myrtle Ave, Tempe, AZ, 85281, USA
| | - Emily E Hohman
- Department of Nutritional Sciences and Center for Childhood Obesity Research, The Pennsylvania State University, 129 Noll Laboratory, University Park, PA, 16802, USA
| | - Daniel E Rivera
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Engineering Research Center, 974 S. Myrtle Ave, Tempe, AZ, 85281, USA
| | - Jennifer S Savage
- Department of Nutritional Sciences and Center for Childhood Obesity Research, The Pennsylvania State University, 129 Noll Laboratory, University Park, PA, 16802, USA
| | - Danielle Symons Downs
- Department of Kinesiology, The Pennsylvania State University, 268 Recreation Building, University Park, PA, 16802, USA
- Department of OBGYN, College of Medicine, The Pennsylvania State University, 700 HMC Cres Rd, Hershey, PA, 17033, USA
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Leonard KS, Symons Downs D. Low prenatal resting energy expenditure and high energy intake predict high gestational weight gain in pregnant women with overweight/obesity. Obes Res Clin Pract 2022; 16:281-287. [PMID: 35840506 DOI: 10.1016/j.orcp.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/30/2022] [Accepted: 07/05/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Recent evidence suggests that low resting energy expenditure (REE) is associated with gestational weight gain (GWG). However, little research has examined whether REE explains GWG beyond the contributions of energy intake (EI) and physical activity (PA). This study examined the extent to which EI, PA, and REE were associated with and explained second trimester GWG in pregnant women with overweight/obesity. METHODS Pregnant women with overweight/obesity (N = 26) participating in the Healthy Mom Zone study, a theoretically-based behavioral intervention that adapted the intervention dosage over time to regulate GWG completed weekly point estimates of EI (back-calculation), PA (wrist-worn activity monitor), and REE (mobile metabolism device) from 14- to 28-weeks gestation. Second trimester GWG was calculated as the weekly point estimate of weight from a Wi-Fi weight scale at gestational week 28 minus the weekly point estimate of weight at gestational week 14. RESULTS Partial correlations revealed second trimester EI and PA were not significantly associated with second trimester GWG, but low second trimester REE was significantly associated with high second trimester GWG. Hierarchical regression analyses showed the model of fat-free mass, EI, PA, and REE explained 56% of the variance in second trimester GWG. Low REE was the strongest determinant followed by high EI; fat-free mass and PA were not significant predictors. CONCLUSIONS While EI and PA remain important determinants of GWG, future researchers should explore the role of REE to inform individualized EI and PA goals to better regulate GWG.
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Affiliation(s)
- Krista S Leonard
- Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA; Currently at the College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Danielle Symons Downs
- Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, PA& Department of Obstetrics and Gynecology, Penn State College of Medicine, Hershey, PA, USA.
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Heslehurst N, Flynn AC, Ngongalah L, McParlin C, Dalrymple KV, Best KE, Rankin J, McColl E. Diet, Physical Activity and Gestational Weight Gain Patterns among Pregnant Women Living with Obesity in the North East of England: The GLOWING Pilot Trial. Nutrients 2021; 13:1981. [PMID: 34207613 PMCID: PMC8227571 DOI: 10.3390/nu13061981] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/26/2021] [Accepted: 06/04/2021] [Indexed: 02/04/2023] Open
Abstract
Maternal diet, physical activity (PA) behaviours, and gestational weight gain (GWG) are important for optimum health of women and their babies. This secondary analysis of the GLOWING pilot cluster trial explored these among women living with obesity in high deprivation. Pregnant women completed food frequency, PA and psychosocial questionnaires. Weights were retrieved from medical records and measured during routine appointments with midwives. Descriptive and regression analyses were stratified by obesity class. A total of 163 women were recruited; 54.0% had class 1 obesity, 25.8% class 2, 20.2% class 3, and 76.1% lived in the two most deprived quintiles. Women had suboptimal dietary intake, particularly for oily fish, fruit and vegetables. PA was predominantly light intensity, from household, care and occupational activities. Most women gained weight outside of Institute of Medicine (IOM) guideline recommendations (87.8%); women in class 3 obesity were most likely to have inadequate GWG below IOM recommendations (58.3%, p < 0.01) and reduced odds of excessive GWG compared with class 1 (AOR 0.13, 95% 0.04-0.45). Deprived women with obesity have a double inequality as both increase pregnancy risks. This population requires support to meet guideline recommendations for diet, PA and GWG. Further research exploring obesity classes would inform policies and care to achieve the best pregnancy outcomes.
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Affiliation(s)
- Nicola Heslehurst
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
| | - Angela C. Flynn
- Department of Women and Children’s Health, Kings College London, Strand, London WC2R 2LS, UK; (A.C.F.); (K.V.D.)
| | - Lem Ngongalah
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
| | - Catherine McParlin
- Faculty of Health and Life Sciences, Northumbria University, Sutherland Building, Newcastle upon Tyne NE1 8ST, UK;
| | - Kathryn V. Dalrymple
- Department of Women and Children’s Health, Kings College London, Strand, London WC2R 2LS, UK; (A.C.F.); (K.V.D.)
| | - Kate E. Best
- Leeds Institute of Health Sciences, University of Leeds, Woodhouse, Leeds LS2 9JT, UK;
| | - Judith Rankin
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
| | - Elaine McColl
- Faculty of Medical Sciences, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; (L.N.); (J.R.); (E.M.)
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