Evidence map›Paper›PMID 25716579›Full record

ArticleJournal of epidemiology2015

The associations of month of birth with body mass index, waist circumference, and leg length: findings from the China Kadoorie Biobank of 0.5 million adults.

Jun Lv, Canqing Yu, Yu Guo, Zheng Bian, Sarah Lewington, Huiyan Zhou, Yunlong Tan, Junshi Chen, Zhengming Chen, Liming Li and 1 more

Abstract read
In one paragraph

Article in Journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center.
Canqing Yu
Yu Guo
Zheng Bian
Sarah Lewington
Huiyan Zhou
Yunlong Tan
Junshi Chen
Zhengming Chen
Liming Li
China Kadoorie Biobank collaborative group

Funding

Medical Research Council MC_U137686851Medical Research Council MC_U137686857Wellcome TrustWellcome Trust 088158/Z/09/Z
6 · The paper itself

Abstract

backgroundSeason of birth (SoB) has been linked with various health outcomes. This study aimed to examine the associations between month of birth (MoB) and adult measures of leg length (LL), body mass index (BMI), and waist circumference (WC).

methodsWe analysed survey data from 10 geographically diverse areas of China obtained through the China Kadoorie Biobank. Analysis included 487 529 adults with BMI ≥ 18.5 kg/m(2). A general linear model was used to examine the associations between MoB and adult measures of LL, BMI, and WC, adjusted for survey site, sex, age, education level, smoking habit, alcohol consumption, physical activity level, sedentary leisure time, height (only for WC and LL), and hip circumference (only for LL).

resultsMoB was independently associated with both BMI and WC. Birth months in which participants had higher measures of adiposity were March-July for BMI and March-June for WC. The peak differences were 0.14 kg/m(2) for BMI and 0.47 cm for WC. The association between MoB and LL depended on survey site. Participants who were born in February-August in four sites (Harbin, Henan, Gansu, and Hunan) had the shortest LL (all P < 0.01). The peak difference in mean LL was 0.21 cm. No statistically significant association between MoB and LL was noted in the other sites (Qingdao, Suzhou, Sichuan, Zhejiang, Liuzhou, and Haikou).

conclusionsThese findings suggest that MoB is associated with variations in adult adiposity measures and LL among Chinese adults. Low exposure to ultraviolet B radiation and subsequent reduced levels of vitamin D during the late second and early third trimesters may be involved in these phenomena.

Indexed as

Body Mass IndexSeasonsWaist CircumferenceAdultChinaDatabases, FactualFemaleHumansLegMaleMiddle AgedTime Factors

Identifiers

PMID25716579
PMCPMC4340999

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