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Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms

Overview of attention for article published in Frontiers in Nutrition, June 2017
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Title
Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms
Published in
Frontiers in Nutrition, June 2017
DOI 10.3389/fnut.2017.00025
Pubmed ID
Authors

Maria João Gregório, Ana M. Rodrigues, Mónica Eusébio, Rute Dinis Sousa, Sara Dias, Beate André, Kjersti Grønning, Pedro S. Coelho, Jorge M. Mendes, Pedro Graça, Geir A. Espnes, Jaime C. Branco, Helena Canhão

Abstract

We aimed to identify dietary patterns (DPs) of Portuguese adults, to assess their socioeconomic, demographic, lifestyle determinants, and to identify their impact on health. EpiDoC 2 study included 10,153 Portuguese adults from the EpiDoC Cohort, a population-based study. In this study, trained research assistants using computer-assisted telephone interview collected socioeconomic, demographic, dietary, lifestyles, and health information from March 2013 to July 2015. Cluster analysis was performed, based on questions regarding the number of meals, weekly frequency of soup consumption, vegetables, fruit, meat, fish, dairy products, and daily water intake. Factors associated with DP were identified through logistic regression models. Two DPs were identified: the "meat dietary pattern" and the "fruit & vegetables dietary pattern." After multivariable adjustment, women (OR = 0.52; p < 0.001), older adults (OR = 0.97; p < 0.001), and individuals with more years of education (OR = 0.96; p = 0.025) were less likely to adopt the "meat dietary pattern," while individuals in a situation of job insecurity/unemployment (OR = 1.49; p = 0.013), Azores island residents (OR = 1.40; p = 0.026), current smoking (OR = 1.58; p = 0.001), daily alcohol intake (OR = 1.46; p = 0.023), and physically inactive (OR = 1.86; p < 0.001) were positively and significantly associated with "meat dietary pattern." Moreover, individuals with depression symptoms (OR = 1.50; p = 0.018) and the ones who did lower number of medical appointments in the previous year (OR = 0.98; p = 0.025) were less likely to report this DP. Our results suggest that unhealthy DPs (meat DP) are part of a lifestyle behavior that includes physical inactivity, smoking habits, and alcohol consumption. Moreover, depression symptoms are also associated with unhealthy DPs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 20%
Student > Bachelor 16 13%
Researcher 15 12%
Student > Ph. D. Student 10 8%
Other 5 4%
Other 12 10%
Unknown 39 32%
Readers by discipline Count As %
Medicine and Dentistry 24 20%
Nursing and Health Professions 18 15%
Agricultural and Biological Sciences 9 7%
Psychology 6 5%
Social Sciences 5 4%
Other 21 17%
Unknown 39 32%
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 01 September 2021.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from Frontiers in Nutrition
#2,525
of 4,634 outputs
Outputs of similar age
#199,350
of 317,509 outputs
Outputs of similar age from Frontiers in Nutrition
#18
of 23 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 38th percentile – i.e., 38% 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 317,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.