↓ Skip to main content

Diet-related greenhouse gas emissions assessed by a food frequency questionnaire and validated using 7-day weighed food records

Overview of attention for article published in Environmental Health, February 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
137 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Diet-related greenhouse gas emissions assessed by a food frequency questionnaire and validated using 7-day weighed food records
Published in
Environmental Health, February 2016
DOI 10.1186/s12940-016-0110-7
Pubmed ID
Authors

Camilla Sjörs, Sara E Raposo, Arvid Sjölander, Olle Bälter, Fredrik Hedenus, Katarina Bälter

Abstract

The current food system generates about 25 % of total greenhouse gas emissions (GHGE), including deforestation, and thereby substantially contributes to the warming of the earth's surface. To understand the association between food and nutrient intake and GHGE, we therefore need valid methods to assess diet-related GHGE in observational studies. Life cycle assessment (LCA) studies assess the environmental impact of different food items. We linked LCA data expressed as kg carbon dioxide equivalents (CO2e) per kg food product to data on food intake assessed by the food frequency questionnaire (FFQ) Meal-Q and validated it against a 7-day weighed food record (WFR). 166 male and female volunteers aged 20-63 years completed Meal-Q and the WFR, and their food intake was linked to LCA data. The mean GHGE assessed with Meal-Q was 3.76 kg CO2e per day and person, whereas it was 5.04 kg CO2e using the WFR. The energy-adjusted and deattenuated Pearson and Spearman correlation coefficients were 0.68 and 0.70, respectively. Moreover, compared to the WFR, Meal-Q provided a good ranking ability, with 90 % of the participants classified into the same or adjacent quartile according to their daily average CO2e. The Bland-Altman plot showed an acceptable level of agreement between the two methods and the reproducibility of Meal-Q was high. This is the first study validating the assessment of diet-related GHGE by a questionnaire. The results suggest that Meal-Q is a useful tool for studying the link between food habits and CO2e in future epidemiological studies.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 17%
Student > Master 22 16%
Student > Bachelor 16 12%
Researcher 15 11%
Student > Doctoral Student 5 4%
Other 17 12%
Unknown 39 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 16%
Environmental Science 11 8%
Nursing and Health Professions 11 8%
Medicine and Dentistry 10 7%
Social Sciences 8 6%
Other 29 21%
Unknown 46 34%
Attention Score in Context

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 02 March 2016.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from Environmental Health
#1,344
of 1,493 outputs
Outputs of similar age
#336,957
of 400,377 outputs
Outputs of similar age from Environmental Health
#44
of 46 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one is in the 1st percentile – i.e., 1% 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 400,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.