Evidence map›Paper›PMID 27649237›Full record

ArticleNutrients2016

Association of Parental Overweight and Cardiometabolic Diseases and Pediatric Adiposity and Lifestyle Factors with Cardiovascular Risk Factor Clustering in Adolescents.

Chun-Ying Lee, Wei-Ting Lin, Sharon Tsai, Yu-Chan Hung, Pei-Wen Wu, Yu-Cheng Yang, Te-Fu Chan, Hsiao-Ling Huang, Yao-Lin Weng, Yu-Wen Chiu and 2 more

Abstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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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

12 authors.

Chun-Ying LeeDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan. cying@ms19.hinet.net.
Wei-Ting LinInstitute of Environmental and Occupational Health Sciences, National Yang Ming University, Taipei 112, Taiwan. wtlin0123@gmail.com.
Sharon TsaiDepartment of Laboratory Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung 807, Taiwan. 0870718@kmhk.org.tw.
Yu-Chan HungDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan. ych0610@gmail.com.
Pei-Wen WuDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan. catstar1211@gmail.com.
Yu-Cheng YangDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan. l19920929@gmail.com.
Te-Fu ChanDepartment of Obstetrics and Gynecology, Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan. tefu.chan@msa.hinet.net.
Hsiao-Ling HuangDepartment of Oral Hygiene, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan. hhuang@kmu.edu.tw.
Yao-Lin WengDepartment of Food and Nutrition, Providence University, Taichung 433, Taiwan. ylweng@pu.edu.tw.
Yu-Wen ChiuHealth Policy and Systems Management Program, Health Sciences Center, School of Public Health, Louisiana State University, New Orleans, LA 70803, USA. ychiu@lsuhsc.edu.
Chia-Tsuan HuangDepartment of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan. chtshu@cc.kmu.edu.tw.
Chien-Hung LeeDepartment of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan. cnhung@kmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiometabolic risk factors or their precursors are observed in childhood and may continue into adulthood. We investigated the effects of parental overweight and cardiometabolic diseases and pediatric lifestyle factors on the clustering of cardiovascular risk factors among adolescents, and examined the mediating and modifying effects of pediatric adiposity on these associations. Representative adolescents (n = 2727; age, 12-16 years) were randomly recruited through multistage stratified sampling from 36 schools in Southern Taiwan. Adolescent and parent surveys were conducted in schools and participant homes, respectively. Their demographic factors, diet patterns, and physical, anthropometric, and clinical parameters were collected and analyzed. Adolescents with 1-2 and ≥3 risk components for pediatric metabolic syndrome (MetS) were defined as potential MetS (pot-MetS) and MetS, respectively. Adolescents whose parents were overweight/obese, or with diabetes and hypertension had a higher prevalence ratio of pot-MetS and MetS (1.5-1.6 and 1.9-4.2-fold, respectively). Low physical activity (<952.4 MET·min/week), long screen time (≥3 h/day) and high sugar-sweetened beverage intake (>500 mL/day) were associated with a 3.3- (95% confidence intervals (CI) = 1.5-7.3), 2.2- (95% CI = 1.1-4.4), and 26.9-fold (95% CI = 3.2-229.0) odds ratio (OR) of MetS, respectively. Pediatric body mass index (BMI) accounted for 18.8%-95.6% and 16.9%-60.3% increased prevalence ratios of these parental and pediatric risk factors for MetS. The OR of pot-MetS + MetS for sugar-sweetened beverage consumption was multiplicatively enhanced among adolescents with overweight/obesity (combined OR, 8.6-fold (95% CI = 4.3-17.3); p for multiplicative interaction, 0.009). The results suggest that parental overweight and cardiometabolic diseases and pediatric sedentary and high sugar-intake lifestyles correlate with the development of adolescent MetS, and an elevated child BMI explains a part of these associations. Pediatric adiposity might be multiplicatively associated with sugar-sweetened beverage consumption for enhancing the MetS prevalence ratio among adolescents.

Indexed as

AdiposityLife StyleOverweightParentsAdolescentAdultChildCross-Sectional StudiesDiabetes MellitusDyslipidemiasFemaleHumansHypertensionMaleRisk FactorsTaiwanadiposityadolescentcardiometabolic risk factorsmetabolic syndromeparental diseasescreen timesugar-sweetened beverages

Identifiers

PMID27649237
PMCPMC5037552

What OpenQuestion 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 OpenQuestion graph.