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Mendeley readers
Attention Score in Context
| Title |
Relationship between risk factors for infertility in women and lead, cadmium, and arsenic blood levels: a cross-sectional study from Taiwan
|
|---|---|
| Published in |
BMC Public Health, December 2015
|
| DOI | 10.1186/s12889-015-2564-x |
| Pubmed ID | |
| Authors |
Hsiao-Ling Lei, Hsiao-Jui Wei, Hsin-Yi Ho, Kai-Wei Liao, Ling-Chu Chien |
| Abstract |
The World Health Organization reported that more than 10 % of women are severely affected by infertility, making the condition a major worldwide public health problem. Lead (Pb), cadmium (Cd), and arsenic (As) are environmental pollutants that may contribute to reproductive disorders. This cross-sectional study investigated the association between blood concentrations of Pb, Cd, and As and risk factors for infertility in women. Women who were infertile (N = 310) or pregnant (N = 57) were recruited from the gynecology and obstetrics department of a hospital. The participants were interviewed to obtain their sociodemographic, reproductive, and lifestyle information. The concentrations of Pb, Cd, and As in their blood samples were measured using inductively coupled plasma mass spectrometry. Our findings suggested that the concentrations of Pb and As, but not Cd, were significantly higher in the blood of infertile women than in that of pregnant women. A higher percentage of the infertile women consumed more alcohol, used Chinese herbal medicine more frequently, and lacked physical activity compared with the pregnant women. After accounting for potentially relevant predictors, we observed that blood Pb levels might be elevated by using Chinese herbal medicine 1-6 times per week (aOR = 2.82, p = 0.05). In addition, engaging in physical activity 1-2 times per week (aOR = 0.37, p = 0.05) might assist in reducing Pb accumulation in infertile women, though the p value was borderline. Lack of physical activity and frequent use of Chinese herbal medicine may be associated with elevated blood Pb levels in infertile women. Chinese herbal medicine use was observed to increase the Pb body burden of both infertile and pregnant women in this study. The risk-benefit for Chinese herbal medicine intake should be evaluated by women of childbearing age. |
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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 16% |
| Researcher | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Student > Postgraduate | 7 | 6% |
| Other | 17 | 15% |
| Unknown | 42 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 19% |
| Nursing and Health Professions | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Agricultural and Biological Sciences | 8 | 7% |
| Engineering | 2 | 2% |
| Other | 15 | 14% |
| Unknown | 45 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 19 March 2019.
All research outputs
#14,242,730
of 22,835,198 outputs
Outputs from BMC Public Health
#10,344
of 14,878 outputs
Outputs of similar age
#203,689
of 389,036 outputs
Outputs of similar age from BMC Public Health
#156
of 228 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 27th percentile – i.e., 27% 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 389,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.