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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Associations between night work and BMI, alcohol, smoking, caffeine and exercise - a cross-sectional study
|
|---|---|
| Published in |
BMC Public Health, November 2015
|
| DOI | 10.1186/s12889-015-2470-2 |
| Pubmed ID | |
| Authors |
Hogne Vikanes Buchvold, Ståle Pallesen, Nicolas M. F. Øyane, Bjørn Bjorvatn |
| Abstract |
Shift work is associated with negative health effects. Increased prevalence of several cardiovascular risk factors among shift workers/night workers compared with day workers have been shown resulting in increased risk of cardiovascular events among shift workers and night workers. Previous studies have taken a dichotomous approach to the comparison between day and night workers. The present study uses a continuous approach and provides such a new perspective to the negative effects of night work load as a possible risk factor for undesirable health effects. This cross sectional study (The SUrvey of Shift work, Sleep and Health (SUSSH)) uses data collected from December 2008 to March 2009. The study population consists of Norwegian nurses. The study collected information about demographic and lifestyle factors: Body Mass Index (BMI), smoking habits, alcohol consumption, caffeine consumption and exercise habits. The lifestyle parameters were evaluated using multiple hierarchical regression and binary logistic regression. Number of night shifts worked last year (NNL) was used as operationalization of night work load. Adjustment for possible confounders were made. Obesity was defined as BMI > 30. Alcohol Consumption was evaluated using the short form of the Alcohol Use Disorders Identification Test Consumption (AUDIT-C). Data were analyzed using SPSS version 22. We had data from 2059 nurses. NNL was significantly and positively associated with BMI, both when evaluated against BMI as a continuous parameter (Beta = .055, p < .05), and against obesity (OR = 1.01, 95 % CI = 1.00-1.01). The AUDIT-C score was significantly and positively associated with hours worked per week (OR = 1.03, 95 % CI = 1.01-1.05). We found a positive significant association between night work load and BMI. This suggests that workers with a heavy night work load might need special attention and frequent health checks due to higher risk of undesirable health effects. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 18% |
| Japan | 3 | 18% |
| Austria | 1 | 6% |
| United Arab Emirates | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | <1% |
| United States | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 276 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 53 | 19% |
| Student > Master | 42 | 15% |
| Student > Ph. D. Student | 28 | 10% |
| Researcher | 14 | 5% |
| Student > Doctoral Student | 14 | 5% |
| Other | 41 | 15% |
| Unknown | 88 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 68 | 24% |
| Nursing and Health Professions | 48 | 17% |
| Agricultural and Biological Sciences | 13 | 5% |
| Biochemistry, Genetics and Molecular Biology | 9 | 3% |
| Social Sciences | 9 | 3% |
| Other | 32 | 11% |
| Unknown | 101 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 02 December 2019.
All research outputs
#2,870,974
of 23,342,092 outputs
Outputs from BMC Public Health
#3,287
of 15,202 outputs
Outputs of similar age
#41,500
of 283,904 outputs
Outputs of similar age from BMC Public Health
#50
of 247 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 78% of its peers.
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 283,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.