| Title |
Association between dietary lead intake and 10-year mortality among Chinese adults
|
|---|---|
| Published in |
Environmental Science and Pollution Research, March 2017
|
| DOI | 10.1007/s11356-017-8871-2 |
| Pubmed ID | |
| Authors |
Zumin Shi, Shiqi Zhen, Nicola Orsini, Yonglin Zhou, Yijing Zhou, Jianghong Liu, Anne W. Taylor |
| Abstract |
Blood lead level is associated with increased risk of mortality, but dietary lead exposure and mortality, particularly with cancer, has not been studied in the general population. The objective of the study was to assess the association between lead intake and 10-year mortality among 2832 Chinese adults. Food intake was measured by 3-day weighed food record in 2002. We documented 184 deaths (63 cancer deaths and 70 cardiovascular disease (CVD) deaths) during 27,742 person-years of follow-up. Dietary lead intake was positively associated with cancer and all-cause mortality. Across quartiles of lead intake, hazard ratios (HRs) for cancer mortality were 1.00, 0.80 (0.33-1.92), 1.52 (0.65-3.56), and 3.00 (1.06-8.44) (p for trend 0.028). HRs for all-cause mortality were 1.00, 1.28 (0.83-1.98), 1.24 (0.78-1.97), and 2.24 (1.28-3.94) (p for trend 0.011). Each 30 μg/day increase of lead intake was associated with 25% (95% CI 3-52%) increase of all-cause mortality. There was an interaction between lead intake and hypertension in relation to CVD mortality (p for interaction 0.003): HRs conferred by every 30 μg/day of lead intake were 1.57 (0.98-2.52) and 1.06 (0.81-1.39) among those with or without hypertension. Dietary lead intake was positively related to cancer and all-cause mortality. |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Master | 1 | 7% |
| Professor | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 14% |
| Computer Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Psychology | 1 | 7% |
| Materials Science | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 57% |
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 03 April 2017.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#3,738
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Outputs of similar age
#197,697
of 311,580 outputs
Outputs of similar age from Environmental Science and Pollution Research
#74
of 173 outputs
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