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Mendeley readers
Attention Score in Context
| Title |
Prevalence and influence factors of vitamin A deficiency of Chinese pregnant women
|
|---|---|
| Published in |
Nutrition Journal, January 2016
|
| DOI | 10.1186/s12937-016-0131-7 |
| Pubmed ID | |
| Authors |
Chun Yang, Jing Chen, Zhen Liu, Chunfeng Yun, Jianhua Piao, Xiaoguang Yang |
| Abstract |
Vitamin A plays an important role in the periods of rapid cellular growth and differentiation, especially during pregnancy, which is supplied by the mother to the fetus. The aim of this study is to assess the prevalence and potential influence factors of prenatal VAD of Chinese pregnant women. China National Nutrition and Health Survey 2010-2013(CHNNS2010-2013) is a nationally representative cross-sectional study. It involved the random selection of 150 districts (urban) or counties (rural). Each site randomly selected 30 pregnant women. Because volume of blood and incomplete data was taken into consideration,the final sample was formed by 1209 participants. Serum retinol concentrations were measured by high performance liquid chromatography. Characteristics of the pregnant women were collected by a questionnaire. Comparing retinol level across categories of independent variables was tested by the Mann-Whitney U test. Logistic and linear regression analyses were used to identify influence factors of Chinese pregnant women. The mean serum retinol level of the pregnant women was 1.63 μmol/L (95 % CI 1.60-1.67) and 64[5.3 % (95 % CI 4.03-6.56)] had VAD. The odds of VAD were significantly higher among the pregnant women in the poor rural areas and without college or university education and low- income. Pregnant women in the second and third trimester had 2.40 (95 % CI 1.05-5.46) and 2.82 (95 % CI 1.34-5.93) times increased odds of VAD compared with those in the first trimester respectively. Pregnant women of drinker had 3.10(1.65-5.81) times increased odds of VAD compared with those no drinker. Pregnant smokers had 5.68 (95 % CI 2.23-14.49) times higher odds of VAD compared with pregnant with non-smoker without passive smoking. VAD is of mild public-health issue in Chinese pregnant women. Such as : in the poor rural areas and without received college or university education and low- income and advanced gestational age and unhealthy lifestyles of pregnant women such as smoking and drinking. These were pertinent influence factors of VAD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 15% |
| Student > Master | 11 | 11% |
| Researcher | 9 | 9% |
| Other | 8 | 8% |
| Student > Postgraduate | 7 | 7% |
| Other | 13 | 13% |
| Unknown | 38 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 32% |
| Nursing and Health Professions | 13 | 13% |
| Agricultural and Biological Sciences | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Economics, Econometrics and Finance | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 39 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2018.
All research outputs
#18,437,241
of 22,842,950 outputs
Outputs from Nutrition Journal
#1,267
of 1,428 outputs
Outputs of similar age
#287,100
of 396,850 outputs
Outputs of similar age from Nutrition Journal
#28
of 29 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.