Evidence map›Paper›PMID 38308923›Full record

SynthesisThe journal of nutrition, health & aging2024

Effectiveness of an intermittent fasting diet versus regular diet on fat loss in overweight and obese middle-aged and elderly people without metabolic disease: a systematic review and meta-analysis of randomized controlled trials.

Ke Yao, Hao Su, Kaiyin Cui, Ye Gao, Dengyun Xu, Qian Wang, Zhitong Ha, Teng Zhang, Shuning Chen, Tao Liu

Open access · goldAbstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Ke YaoKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Hao SuKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China. Electronic address: suhao1982@163.com.
Kaiyin CuiKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Ye GaoKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Dengyun XuKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Qian WangKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Zhitong HaKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Teng ZhangKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Shuning ChenKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Tao LiuKey Laboratory of Exercise and Physical Fitness, Beijing Sport University, Beijing, China; The School of Sports Science, Beijing Sport University, Beijing, China.
Beijing Sport University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs the number of adults aged over 40 with obesity increases dramatically, intermittent fasting interventions (IF) may help them to lose fat and weight. This systematic review investigated the most recent research on the effects of intermittent fasting and a regular diet on body composition and lipids in adults aged over 40 with obesity without the metabolic disease. DATA SOURCES: Randomized controlled trials (RCTs) on IF on adults aged over 40 with obesity were retrieved from PubMed, Web of Science, EBSCO, China Knowledge Network (CNKI), VIP database, Wanfang database with the experimental group using IF and the control group using a regular diet. Revman was used for meta-analysis. Effect sizes are expressed as weighted mean differences (WMD) and 95% confidence intervals (CI). STUDY SELECTION: A total of 9 articles of randomised controlled trials that met the requirements were screened for inclusion. Studies typically lasted 2-6 weeks. The experimental population was aged 42-66 years, with a BMI range of 25.7-35 kg/m SYNTHESIS: A total of 9 RCTs were included. meta-analysis showed that body weight (MD: -2.05 kg; 95% CI (-3.84, -0.27); p = 0.02), BMI (MD: -0.73 kg/m

conclusionIF had a reduction in body weight, BMI, fat mass, and TG in adults aged over 40 with obesity without metabolic disease compared to RD, and IF did not cause a significant decrease in lean body mass, which suggests healthy and effective fat loss. However, more long-term and high-quality trials are needed to reach definitive conclusions.

Indexed as

Intermittent FastingObesityOverweightRandomized Controlled Trials as TopicAdultAgedBody CompositionBody Mass IndexDiet, ReducingFemaleHumansMaleMiddle AgedWeight LossFat lossIntermittent fastingMeta-analysisMiddle-agedObesity

Identifiers

PMID38308923
PMCPMC12880419
OpenAlexW4391503462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.