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Record W4394692404 · doi:10.2196/51542

The Effect of a Combined Intermittent Fasting Healthy Plate Intervention on Anthropometric Outcomes and Body Composition Among Adults With Overweight and Obesity: Nonrandomized Controlled Trial

2024· article· en· W4394692404 on OpenAlexvenueno aff
Shazana Rifham Abdullah, Ruziana Mona Wan Mohd Zin, Nur Hayati Azizul, Nur Suffia Sulaiman, Norhayati Mustafa Khalid, Roshan Jahn Mohd Salim Mullahi Jahn, Muhamad Khairul Nazrin Khalil, Norhashimah Abu Seman, Nur Azlin Zainal Abidin, Azizan Ali, You Zhuan Tan, Mohd Azahadi Omar, Zamtira Seman, Abqariyah Yahya, Mohd Fairulnizal Md Noh

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsnot available
FundersKementerian Kesihatan Malaysia
KeywordsMedicineOverweightWaistAnthropometryObesityBody mass indexBody fat percentageInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Adult obesity and overweight pose a substantial risk to global public health and are associated with various noncommunicable diseases. Although intermittent fasting (IF) is increasingly used as a relatively new dietary strategy for weight loss, the effectiveness of 2 days per week of dry fasting remains unknown. OBJECTIVE: This study aims to evaluate the effectiveness of a combined dry IF and healthy plate (IFHP) and healthy plate (HP) intervention in improving anthropometric outcomes and body composition. METHODS: This nonrandomized controlled trial involved 177 adults who were overweight and obese. Among them, 91 (51.4%) were allocated to the IFHP group and 86 (48.6%) were allocated to the HP group. The overall study duration was 6 months (October 2020 to March 2021). The intervention was divided into 2 phases: supervised (3 months) and unsupervised (3 months). The data were collected at baseline, after the supervised phase (month 3), and after the unsupervised phase (month 6). Anthropometric (weight, height, waist circumference, and hip circumference) and body composition (body fat percentage, body fat mass, skeletal muscle mass, and visceral fat area) data were measured at all 3 data collection points. Sociodemographic data were obtained using a questionnaire at baseline. RESULTS: Most participants were female (147/177, 83.1%) and Malay (141/177, 79.7%). After 3 months, there were significant reductions in weight (difference -1.68; P<.001), BMI (difference -0.62; P<.001), body fat percentage (difference -0.921; P<.001), body fat mass (difference -1.28; P<.001), and visceral fat area (difference -4.227; P=.008) in the IFHP group, whereas no significant changes were observed in the HP group. Compared to baseline, participants in the IFHP group showed a significant decrease in weight (difference -1.428; P=.003), BMI (difference -0.522; P=.005), body fat percentage (difference -1.591; P<.001), body fat mass (difference -1.501; P<.001), visceral fat area (difference -7.130; P<.001), waist circumference (difference -2.304; P=.001), and hip circumference (difference -1.908; P=.002) at month 6. During the unsupervised phase, waist (IFHP difference -3.206; P<.001, HP difference -2.675; P=.004) and hip (IFHP difference -2.443; P<.001; HP difference -2.896; P<.001) circumferences were significantly reduced in both groups (P<.01), whereas skeletal muscle mass (difference 0.208; P=.04) and visceral fat area (difference -2.903; P=.003) were significantly improved in the IFHP group only. No significant difference in the between-group comparison was detected throughout the intervention (all P>.05). CONCLUSIONS: A combined IFHP intervention was effective in improving anthropometric outcomes and body composition in adults with overweight and obesity. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/33801.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.393
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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