Evidence map›Paper›PMID 36471419›Full record

ArticleBMC nutrition2022

Energy intake, expenditure and balance, and factors associated with energy balance of young adults (20-39 years): a retrospective cross-sectional community-based cohort study.

Rufina N B Ayogu, Hannah Oshomegie, Elizabeth A Udenta

Open access · goldAbstract read
In one paragraph

Article in BMC nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 23 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

3 authors at 1 institution in 1 country.

Rufina N B AyoguDepartment of Nutrition and Dietetics, Faculty of Agriculture, University of Nigeria, Nsukka, Nigeria. rufina.ayogu@unn.edu.ng.
Hannah OshomegieDepartment of Nutrition and Dietetics, Faculty of Agriculture, University of Nigeria, Nsukka, Nigeria.
Elizabeth A UdentaDepartment of Nutrition and Dietetics, Faculty of Agriculture, University of Nigeria, Nsukka, Nigeria. elizabeth.udenta@unn.edu.ng.
University of Nigeria · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity epidemic presents major challenge to chronic disease prevention. Young adults may be at higher risk due to consumption of energy dense foods/beverages and low physical activity. This study assessed the energy intake, expenditure and balance of 20-39 year-old adults and also evaluated factors associated with energy balance to provide basis for obesity prevention and control.

methodsThis retrospective cross-sectional cohort study involved 240 respondents selected through multistage random sampling. Data were collected through questionnaire, anthropometry and three 24-h dietary recall. Energy expenditure was assessed as the sum of resting energy expenditure (REE), energy expenditure of activity (EEA) and diet-induced energy expenditure of three days. Frequencies and percentages were employed in analysing general characteristics of the respondents. T-test and analysis of variance were used to assess relationships between and among numerical variables while relationships among categorical variables were evaluated through Chi-square test. Binary and multivariate logistic regression analyses were used to evaluate the factors associated with energy balance.

resultsMajority (53.2%) had normal body mass index and this decreased as age increased (P < 0.001); 23.8% had overweight, 21.7% had general obesity, 38.3% had abdominal obesity and 39.2% had high risk waist hip ratio. Total energy intake (TEI) of the respondents was 2416.0 ± 722.728 kcal/day. Males had lower energy intake (kcal/day) of 2398.8 ± 494.761 than females (2431.1 ± 876.664). Male intake contributed less (85.7%) than female intake (110.5%) to recommended energy intake. TEI (kcal/day) was lowest among 25-29 (2285.3 ± 497.793) but highest (2586.0 ± 467.587) among 35-39 year-olds (P < 0.05). Total energy expenditure (TEE) was 2195.5 ± 384.544 kcal/day; a value of 2274.3 ± 385.792 was found among males while the females had a lower value of 2126.6 ± 371.403. TEE (kcal/day) ranged from 2169.4 ± 411.625 in 20-24 to 2248.8 ± 273.534 in 30-34 year-olds. Those with general obesity had higher energy (kcal/day) intake (2733.7 ± 1171.073), expenditure (2431.7 ± 491.666) and balance (302.0 ± 1300.186) than those without obesity (P < 0.01). Energy intake (2573.0 ± 966.553) and expenditure (2226.4 ± 372.621) were significantly higher among those with abdominal obesity than those with normal waist circumference (P < 0.05). Overall positive energy balance of the adults was 220.5 ± 787.271. The females had higher positive energy balance (304.4 ± 921.041) than males (124.5 ± 588.637). Energy balance was lowest (102.5 ± 629.780) among 25-29 and highest (373.5 ± 494.546) in 35-39 year-olds. Most (68.8%) of the participants had positive energy balance. Age (AOR:2.89, 95% C.I.:1.27-6.56) and occupation (AOR:2.30, 95% C.I.:1.05-5.03) increased the likelihood of positive energy balance by 2.

conclusionsThe study showed lower energy intake among the respondents than the recommended value; females had a value higher than what was recommended, males had less. Majority had positive energy balance and this was mostly found among those with obesity. Age and occupation were factors associated with positive energy balance. Nutrition education, health education and dietary counselling are recommended strategies to control sustained weight gain.

Indexed as

Associated factorsEnergy balanceEnergy expenditureEnergy intakeEnugu State-NigeriaYoung adults

Identifiers

PMID36471419
PMCPMC9721018
OpenAlexW4311279610

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.