Evidence map›Paper›PMID 35395755›Full record

ArticleBMC public health2022

Adolescence exposure to China's great famine period and the association of metabolic syndrome in adulthood: a retrospective study.

Ning Sun, Wei Li, Olatokunbo Osibogun, Mohammad Ebrahimi Kalan, Rime Jebai, Prem Gautam, Tanjila Taskin, Wupeng Yin, Jeffery A Jones, Michelle Gamber and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 4 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

11 authors at 5 institutions in 1 country.

Ning SunDepartment of Biostatistics, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Wei LiDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Olatokunbo OsibogunDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Mohammad Ebrahimi KalanSchool of Medicine, Linberger Comprehensive Cancer Center, University of North Carolina in Chapel Hill, Chapel Hill, NC, USA.
Rime JebaiDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Prem GautamDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Tanjila TaskinDepartment of Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Wupeng YinDepartment of Biostatistics, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA.
Jeffery A JonesDepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
Michelle GamberSchool of Health Professions, Shenandoah University, 1775 North Sector Court, Suite 220 B, Winchester, VA, 22601, USA. mgamber@su.edu.
Wenjie SunCenter for Health Sciences, Oklahoma State University, 1111 W. 17th Street, Tulsa, OK, 74017, USA. wenjie.sun@okstate.edu.
Florida International University · USGeorgia Southern University · USOklahoma State University Center for Health Sciences · USShenandoah University · USUNC Lineberger Comprehensive Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExposure to famine during early life is related to several adverse health outcomes in adulthood, but the effect of famine exposure during adolescence is unclear. This study aims to examine whether exposure to famine in adolescence is associated with metabolic syndrome (MetS) in adulthood.

methodsThis study included 4130 Chinese adults (2059 males and 2071 females) aged 59-71 from the 2011 China Health and Retirement Longitudinal Study (CHARLS). All the selected participants were exposed to the three-year time period (1959-1961) of China's Great Famine. Participants were categorized into an adolescent-exposed group (born 01/01/1944-12/31/1948) and a non-adolescent-exposed group (born 01/01/1940-12/31/1941 and 01/01/1951-12/31/1952). Sex-stratified multiple logistic regression models were used to estimate the association between exposure to famine in adolescence and MetS.

resultsParticipants exposed to famine during adolescence were more likely to report MetS (aOR = 1.35; 95%CI 1.01-1.78) compared to the non-adolescent-exposed group. Further, males were 45% less likely to report MetS than females (aOR = 0.55; 95%CI 0.36-0.83). After stratification by sex, the effects of famine exposure during adolescence on MetS were detected among males only (aOR = 1.97; 95%CI 1.20-3.24). Additionally, males with a history of drinking were more likely to report MetS compared to those with no history of drinking (aOR = 2.63; 95%CI 1.41-4.90).

conclusionsOur findings reveal that exposure to famine during adolescence is associated with higher odds of MetS in adulthood overall, and this association is only pronounced among males. This study emphasizes that undernutrition in early life, including adolescence, may have a long-term effect and be associated with adverse health events in middle-to-late life. Targeting those elderly people who suffered famine during adolescence may help prevent the development of MetS in later life.

Indexed as

Metabolic SyndromePrenatal Exposure Delayed EffectsStarvationAdolescentAdultAgedChinaFamineFemaleHumansLongitudinal StudiesMaleRetrospective StudiesAging ChineseFamineMetabolic syndromeSex difference

Identifiers

PMID35395755
PMCPMC8991788
OpenAlexW4223616913

What OpenQuestion holds

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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.