Evidence map›Paper›PMID 26729156›Full record

ArticleNutrients2015

Associations between Sugar Intake from Different Food Sources and Adiposity or Cardio-Metabolic Risk in Childhood and Adolescence: The Korean Child-Adolescent Cohort Study.

Yang-Im Hur, Hyesook Park, Jae-Heon Kang, Hye-Ah Lee, Hong Ji Song, Hae-Jeung Lee, Ok-Hyun Kim

Abstract read
In one paragraph

Article in Nutrients, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Pooled it
  6. Article
  7. Observational
  8. Article
  9. Article
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  11. Tolerable upper intake level for dietary sugars.EFSA journal. European Food Safety Authority · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Prevention of metabolic diseases: fruits (including fruit sugars) vs. vegetables.Current opinion in clinical nutrition and metabolic care · 2017
    Review
  18. Review
  19. Epidemiology of Childhood Obesity in Korea.Endocrinology and metabolism (Seoul, Korea) · 2016
    Review
  20. Article
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

7 authors.

Yang-Im HurDepartment of Family Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul 100032, Korea. yangimhur@gmail.com.
Hyesook ParkDepartment of Preventive Medicine, Ewha Womans University School of Medicine, Seoul 07985, Korea. hpark@ewha.ac.kr.
Jae-Heon KangDepartment of Family Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul 100032, Korea. jhkang@paik.ac.kr.
Hye-Ah LeeDepartment of Preventive Medicine, Ewha Womans University School of Medicine, Seoul 07985, Korea. khyeah@naver.com.
Hong Ji SongDepartment of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang-si, Gyeonggi-do 14068, Korea. hongjisong5@gmail.com.
Hae-Jeung LeeDepartment of Food and Nutrition, Eulji University, Seongnam-si, Gyeonggi-do 13135, Korea. skysea1010@gmail.com.
Ok-Hyun KimInstitute for Clinical Nutrition, Inje University, Seoul 100032, Korea. okhyunee@daum.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of childhood obesity is a serious public health problem associated with co-morbidities in adulthood, as well as childhood. This study was conducted to identify associations between total sugar intake and sugar intake from different foods (fruit, milk, and sugar-sweetened beverages (SSBs)), and adiposity and continuous metabolic syndrome scores (cMetS) among Korean children and adolescents using cohort data. The study subjects were children (n = 770) who participated in the 4th year (2008) of the Korean Child-Adolescent Cohort Study (KoCAS). Dietary intake data were collected via three-day 24-h food records, and sugar intake was calculated for the total sugar content of foods using our database compiled from various sources. Anthropometric measurements, assessments of body composition, and blood sample analysis were performed at baseline and at follow-up four years later. The cMetS was calculated based on waist circumference, triglycerides, high-density lipoprotein cholesterol, glucose, and mean arterial blood pressure. According to multiple linear regression analysis, there were no significant associations between total sugar intake and adiposity and cMetS. However, higher intake of fruit sugar at baseline was significantly associated with lower body mass index (BMI) z-scores and body fat percentages at baseline (β = -0.10, p = 0.02 and β = -0.78, p < 0.01, respectively). At follow-up, sugar intake from fruit at baseline was still negatively associated with the above outcomes, but only the relationship with BMI z-scores retained statistical significance (β = -0.08, p < 0.05). There was a significant positive relationship between consumption of sugar from SSBs and cMetS at baseline (β = 0.04, p = 0.02), but that relationship was not observed at follow-up (p = 0.83). Differences in consumption sugars from fruit and SSBs might play an important role in the risk of adiposity and metabolic disease in children and adolescents. Our results suggest that strategies for reducing sugar intake need to target particular food groups. Consequently, this information could be of value to obesity- and metabolic disease-prevention strategies.

Indexed as

Body CompositionDietFeeding BehaviorAdipose TissueAdiposityBeveragesBody Mass IndexCarbohydratesCardiovascular DiseasesChildDiet RecordsFemaleFood PreferencesFruitHumansMaleCarbohydratesbody weightcontinuous metabolic syndrome scores (cMetS)fruitmetabolic diseasesugarsugar-sweetened beverages

Identifiers

PMID26729156
PMCPMC4728634

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.