Última actualización 2 de septiembre de 2026
Key finding
Weight change at 6 months was -3.26% for the personalized group, which was not significantly different.
This study evaluated the impact of a personalized diet versus a standardized low-fat diet on weight loss in adults with obesity and abnormal glucose metabolism, finding no significant differences in weight loss between the two groups.
Quick read
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Medium-Term (3–12 mo)
Risk of bias
Some Concerns
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Plain-language summary
A plain-language read of the study’s main message and where it applies.
Study focus
This study evaluated the impact of a personalized diet versus a standardized low-fat diet on weight loss in adults with obesity and abnormal glucose metabolism, finding no significant differences in weight loss between the two groups.
Understanding the effectiveness of different dietary approaches is crucial for developing tailored weight loss strategies for individuals with obesity and abnormal glucose metabolism. This study suggests that personalized nutrition may not provide additional benefits over standardized diets, which can inform clinical practices and dietary recommendations.
Limited sample size may affect generalizability of results Short follow-up period of 6 months may not capture long-term effects Potential unmeasured confounders could influence outcomes
Published in
Publication details and source links for this paper.
Collin JP, Lu H, Anna YK, et al. Effect of a Precision Nutrition Intervention on Weight Loss in Adults with Abnormal Glucose Metabolism and Obesity. JAMA Network Open. 2022;5(9):e2233760. doi:10.1001/jamanetworkopen.2022.33760
No significant difference in percentage of weight loss at 6 months (personalized: -3.26%, standardized: -4.31%, p=0.16)
No between-group differences in fat mass and fat-free mass changes at 6 months
Significantly greater increase in resting energy expenditure in the standardized group (92.3 kcal/d, p=0.05)
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to Microbiome-guided personalized nutrition and Body fat mass, Body weight, Change in Resting Energy Expenditure (REE), and 2 more.
This study contributes evidence to
Primary intervention
Microbiome-guided personalized nutrition
Primary outcomes
Evidence topics
Primary intervention
Intervention and outcome relationships this study adds to the evidence network.
Editorial context
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Evidence network role
This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.
3
Related topics
5
Evidence pairs
1328
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Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
Evidence topic
Contributes evidence
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Evidencia principal
Tema de evidencia
matched_intervention_and_outcome
Evidencia relacionada
Tema de evidencia
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Core evidence
The primary outcomes reported in this study.
Microbiome-guided personalized nutrition → Body fat mass
Microbiome-guided personalized nutrition → Body fat mass
Microbiome-guided personalized nutrition → Body weight
Microbiome-guided personalized nutrition → Body weight
Microbiome-guided personalized nutrition → Change in Resting Energy Expenditure (REE)
Microbiome-guided personalized nutrition → Change in Resting Energy Expenditure (REE)
Microbiome-guided personalized nutrition → Lean body mass
Microbiome-guided personalized nutrition → Lean body mass
Microbiome-guided personalized nutrition → Weight loss at 6 months
Microbiome-guided personalized nutrition → Weight loss at 6 months
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Microbiome-guided personalized nutrition and Body Composition, Microbiome-guided personalized nutrition and Body Weight.
This study contributes to the evidence on the following intervention-outcome relationships.
Diet and Nutrition
Diet and Nutrition
Curated evidence collections and hubs this study is part of.
All studies measuring Body Composition
Measures Body Composition as a key outcome.
All studies measuring Body Weight
Measures Body Weight as a key outcome.
All studies on Microbiome-guided personalized nutrition
Contributes to Microbiome-guided personalized nutrition evidence base.
Jump to pre-filtered views in Evidence Explorer.
1 results
1 results
1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
Microbiome-guided personalized nutrition appears to improve change in resting energy expenditure (REE).
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Change in Resting Energy Expenditure (REE)
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear benefit of Microbiome-guided personalized nutrition for body fat mass.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Body fat mass
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear effect of Microbiome-guided personalized nutrition on body weight.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Body weight
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear effect of Microbiome-guided personalized nutrition on lean body mass.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Lean body mass
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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