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Lozano CP, Neubig KE, Saha S, Broyles ST, Apolzan JW, Martin CK. Validity of the PortionSize application compared with that of MyFitnessPal for accurately estimating intake: a randomized crossover laboratory-based evaluation. Am J Clin Nutr 2024; 120:419-430. [PMID: 38825184 PMCID: PMC11347805 DOI: 10.1016/j.ajcnut.2024.05.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 05/17/2024] [Accepted: 05/28/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND PortionSize offers real-time feedback on dietary intake, including intake of MyPlate food groups but requires further evaluation on a larger sample in a laboratory-based setting. MyFitnessPal (MFP) is a commonly used commercial dietary assessment application, and to our knowledge, no known studies have evaluated MFP in a laboratory setting. OBJECTIVES The overall objective was to test the validity of PortionSize and MFP to accurately measure intake compared with that of weighed food (WB) and to compare error between applications. A secondary objective was to test usability, satisfaction, and user preference between applications. METHODS This randomized crossover study was completed between February and October 2021. Participants (N = 43) used both applications to estimate intake in a laboratory setting. Participants were provided with a preweighed plated meal and plated leftovers. Two 1-sided t tests assessed equivalence (±21% bounds) between simulated intake from PortionSize and WB, and MFP and WB. The primary outcome was energy intake, and secondary outcome measures were portion size (in grams), food groups, and other nutrients. Differences in relative absolute error, usability, satisfaction, and user preference between applications were evaluated using dependent samples t tests. Cohen d assessed effect size. RESULTS For PortionSize, energy and portion size were underestimated by 13.3% and 14.0%, respectively, and were not equivalent to WB. For MFP, energy was overestimated by 7.0%, and equivalent to WB (P = 0.04). Relative absolute error for energy did not differ between applications. For PortionSize, Cohen d was small (<0.2) for fruits, grains, protein foods, and specific nutrients. No differences were seen with usability, and the only difference for satisfaction was that participants found it easier to use MFP to find foods consumed (P = 0.019), and participants preferred using MFP (P = 0.014). CONCLUSIONS PortionSize requires further updates to improve energy estimates and usability but demonstrates clinical utility for tracking food group and nutrient intake. PortionSize did not outperform MFP for measuring energy intake. CLINICAL TRIAL REGISTRY This trial was registered at clinicaltrials.gov as NCT04700904 (https://classic. CLINICALTRIALS gov/ct2/show/NCT04700904).
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Affiliation(s)
- Chloe P Lozano
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States; Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, United States
| | - Karissa E Neubig
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
| | - Sanjoy Saha
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States; Agriculture, Food, and Nutrition Evidence Center, Texas A&M University, Fort Worth, TX, United States
| | - Stephanie T Broyles
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
| | - John W Apolzan
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States
| | - Corby K Martin
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States.
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Davis KM, Petersen KS, Matthan NR, Legro RS, Kris‐Etherton PM. Effect of Incorporating 1 Avocado per Day Versus Habitual Diet on Vascular Function in Adults With Abdominal Obesity: An Ancillary Study of HAT, a Randomized Controlled Trial. J Am Heart Assoc 2024; 13:e030497. [PMID: 38726886 PMCID: PMC11179816 DOI: 10.1161/jaha.123.030497] [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: 04/07/2023] [Accepted: 03/05/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Abdominal obesity is associated with endothelial dysfunction and poorer vascular health. Avocado consumption improves postprandial endothelial function; however, the longer-term effects remain unclear. It was hypothesized that the daily addition of 1 avocado to a habitual diet for 6 months would improve flow-mediated dilation (FMD) and carotid-femoral pulse wave velocity in individuals with abdominal obesity (waist circumference ≥35 in for women, ≥40 in for men), compared with a habitual diet low in avocados. METHODS AND RESULTS HAT (Habitual Diet and Avocado Trial) was a multicenter, randomized, controlled, parallel-arm study that investigated the health effects of adding 1 avocado per day to a habitual diet in individuals with abdominal obesity. At the Pennsylvania State University, University Park study center (n=134; age, 50 ± 13 years; women, 78%; body mass index, 32.6 ± 4.8 kg/m2), markers of vascular function were measured, including endothelial function, assessed via brachial artery flow-mediated dilation, and arterial stiffness, assessed via carotid-femoral pulse wave velocity. Between-group differences in 6-month change in flow-mediated dilation and carotid-femoral pulse wave velocity were assessed using independent t tests. Prespecified subgroup analyses were conducted using linear regression. No significant between-group differences in flow-mediated dilation (mean difference=-0.62% [95% CI, -1.70 to 0.46]) or carotid-femoral pulse wave velocity (0.25 m/s [95% CI, -0.13 to 0.63]) were observed. Results of the subgroup analyses were consistent with the primary analyses. CONCLUSIONS Longer-term consumption of 1 avocado per day as part of a habitual diet did not improve measures of vascular function compared with a habitual diet low in avocados in individuals with abdominal obesity. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT03528031.
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Affiliation(s)
- Kristin M. Davis
- Department of Nutritional SciencesPennsylvania State UniversityUniversity ParkPAUSA
- Department of PsychologyWayne State UniversityDetroitMIUSA
| | - Kristina S. Petersen
- Department of Nutritional SciencesPennsylvania State UniversityUniversity ParkPAUSA
| | - Nirupa R. Matthan
- Jean Mayer USDA Human Nutrition Center on AgingTufts UniversityBostonMAUSA
| | - Richard S. Legro
- Department of Obstetrics and GynecologyPennsylvania State UniversityHersheyPAUSA
- Department of Public Health SciencesPennsylvania State UniversityHersheyPAUSA
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Brock DJP, Markwalter T, Li L, Venkatesh S, Helms C, Reid A, Zoellner JM. Exploring biorepository donation patterns, experiences, and recommendations: a mixed-methods study among Appalachian adults enrolled in a sugary drink reduction program. Front Public Health 2024; 12:1371768. [PMID: 38784591 PMCID: PMC11111869 DOI: 10.3389/fpubh.2024.1371768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/23/2024] [Indexed: 05/25/2024] Open
Abstract
Background Under-represented subgroups in biomarker research linked to behavioral health trials may impact the promise of precision health. This mixed methods study examines biorepository donations across an Appalachian sample enrolled in a sugary drink reduction intervention trial. Methods Participants enrolled in the behavioral trial were asked to join an optional biomarker study and were tracked for enrollment and biospecimen returns (stool and/or buccal sample). At 6 months, participants completed a summative interview on decision-making process, experiences collecting samples, and recommendations to encourage biospecimen donation. Return rates were analyzed across demographics (i.e., age, gender, race, education, income, health literacy status, and rurality status) using chi-squares. Qualitative data were content coded with differences compared by biomarker study enrollment and donation choices. Results Of the 249 invited participants, 171 (61%) enrolled, and 63% (n = 157) returned buccal samples and 49% (n = 122) returned stool samples. Metro residing participants were significantly more likely (56%) to return stool samples compared to non-metro (39%) counterparts [x2(1) = 6.61; p = 0.01]. Buccal sample return had a similar trend, 67 and 57%, respectively for metro vs. non-metro [x2(1) = 2.84; p = 0.09]. An additional trend indicated that older (≥40 years) participants were more likely (55%) to donate stool samples than younger (43%) participants [x2(1) = 3.39; p = 0.07]. No other demographics were significantly associated with biospecimen return. Qualitative data indicated that societal (66-81%) and personal (41-51%) benefits were the most reported reasons for deciding to donate one or both samples, whereas mistrust (3-11%) and negative perceptions of the collection process (44-71%) were cited the most by those who declined one or both samples. Clear instructions (60%) and simple collection kits (73%) were donation facilitators while challenges included difficult stool collection kits (16%) and inconveniently located FedEx centers (16%). Recommendations to encourage future biorepository donation were to clarify benefits to science and others (58%), provide commensurate incentives (25%), explain purpose (19%) and privacy protections (20%), and assure ease in sample collection (19%). Conclusion Study findings suggest the need for biomarker research awareness campaigns. Researchers planning for future biomarker studies in medically underserved regions, like Appalachia, may be able to apply findings to optimize enrollment.
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Affiliation(s)
- Donna-Jean P. Brock
- School of Medicine, Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Theresa Markwalter
- School of Medicine, Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Li Li
- School of Medicine, Family Medicine, University of Virginia, Charlottesville, VA, United States
| | - Samyukta Venkatesh
- School of Medicine, Family Medicine, University of Virginia, Charlottesville, VA, United States
| | - Cheyanne Helms
- School of Medicine, Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Annie Reid
- School of Medicine, Public Health Sciences, University of Virginia, Charlottesville, VA, United States
| | - Jamie M. Zoellner
- School of Medicine, Public Health Sciences, University of Virginia, Charlottesville, VA, United States
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Liu Y, Yang M, Ding Y, Wang H, Zhang H, Wang D, Zhuang T, Ji M, Cui Y, Wang H. Clinical significance of potential drug-drug interactions in older adults with psychiatric disorders: a retrospective study. BMC Psychiatry 2022; 22:563. [PMID: 35996119 PMCID: PMC9394082 DOI: 10.1186/s12888-022-04207-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 08/12/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Polypharmacy increases the risk of potential drug-drug interactions (pDDIs). This retrospective analysis was conducted to detect pDDIs and adverse drug reactions (ADRs) among older adults with psychiatric disorder, and identify pDDIs with clinical significance. METHODS A retrospective analysis was carried out based on the medical records of older adults with psychiatric disorders. Data on demographic characteristics, substance abuse, medical history, and medications were extracted. The Lexi-Interact online database was used to detect pDDIs. The minimal clinically important difference (MCID) was set as the change in the Treatment Emergent Symptom Scale (TESS) score between admission and discharge. The median and interquartile ranges were used for continuous variables, and frequencies were calculated for dichotomous variables. Poisson regression was implemented to determine the factors influencing the number of ADR types. The influencing factors of each ADR and the clinical significance of the severity of the ADR were analysed using binary logistic regression. P < 0.05 was considered statistically significant. RESULTS A total of 308 older adults were enrolled, 171 (55.52%) of whom had at least 1 pDDI. Thirty-six types of pDDIs that should be avoided were found, and the most frequent pDDI was the coadministration of lorazepam and olanzapine (55.5%). A total of 26 ADRs induced by pDDIs were identified, and the most common ADR was constipation (26.05%). There was a 9.4 and 10.3% increase in the number of ADR types for each extra medical diagnosis and for each extra drug, respectively. There was a 120% increase in the number of ADR types for older adults hospitalized for 18-28 days compared with those hospitalized for 3-17 days. There was an 11.1% decrease in the number of ADR types for each extra readmission. The length of hospitalization was a risk factor for abnormal liver function (P < 0.05). The use of a large number of drugs was a risk factor for gastric distress (P < 0.05) and dizziness and fainting (P < 0.05). None of the four pDDIs, including coadministrations of olanzapine and lorazepam, quetiapine and potassium chloride, quetiapine and escitalopram, and olanzapine and clonazepam, showed clinical significance of ADR severity (P > 0.05). CONCLUSIONS pDDIs are prevalent in older adults, and the rate is increasing. However, many pDDIs may have no clinical significance in terms of ADR severity. Further research on assessing pDDIs, and possible measures to prevent serious ADRs induced by DDIs is needed to reduce the clinical significance of pDDIs.
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Affiliation(s)
- Yu Liu
- grid.89957.3a0000 0000 9255 8984Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province P.R. China 211166 ,grid.89957.3a0000 0000 9255 8984Department of Nursing Management, Kangda College, Nanjing Medical University, Lianyungang, Jiangsu Province P.R. China 222000
| | - Man Yang
- grid.89957.3a0000 0000 9255 8984Department of Psychiatry, The Fourth People’s Hospital of Lianyungang, Affiliated to Kangda College, Nanjing Medical University, Lianyungang, Jiangsu Province P.R. China 222003
| | - Yaping Ding
- grid.89957.3a0000 0000 9255 8984Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province P.R. China 211166
| | - Huanqiang Wang
- grid.89957.3a0000 0000 9255 8984Department of Occupational Medicine and Environmental Health, Kangda College, Nanjing Medical University, Lianyungang, Jiangsu Province P.R. China 222000
| | - Hailin Zhang
- grid.460072.7Department of Nursing, The First People’s Hospital of Lianyungang, Affiliated to Kangda College, Nanjing Medical University, Lianyungang, Jiangsu Province P.R. China 222061
| | - Dandan Wang
- grid.89957.3a0000 0000 9255 8984Department of Fundamental Nursing, Kangda College, Nanjing Medical University, Lianyungang, Jiangsu Province, P.R. China 222000
| | - Tianchi Zhuang
- grid.89957.3a0000 0000 9255 8984Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province P.R. China 211166
| | - Minghui Ji
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, P.R. China, 211166.
| | - Yan Cui
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu Province, P.R. China, 211166.
| | - Hong Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu Province, P.R. China, 210029.
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