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Fatigue in the general population- associations to age, sex, socioeconomic status, physical activity, sitting time and self-rated health: the northern Sweden MONICA study 2014

Overview of attention for article published in BMC Public Health, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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5 news outlets
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3 X users

Citations

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138 Dimensions

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208 Mendeley
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Title
Fatigue in the general population- associations to age, sex, socioeconomic status, physical activity, sitting time and self-rated health: the northern Sweden MONICA study 2014
Published in
BMC Public Health, August 2017
DOI 10.1186/s12889-017-4623-y
Pubmed ID
Authors

Isak Engberg, Johan Segerstedt, Göran Waller, Patrik Wennberg, Mats Eliasson

Abstract

Fatigue is widespread in the population and a common complaint in primary care. Little is known about prevalence of fatigue in the population and its predictors. We aimed to describe the pattern of fatigue in the general population and to explore the associations with age, sex, socioeconomic status, self-reported physical activity, sitting time and self-rated health. One thousand, five hundred and fifty-seven out of 2500 invited subjects in the Northern Sweden MONICA Study 2014, aged 25-74 years, filled out the Multidimensional Fatigue Inventory (MFI-20), consisting of four subscales: General fatigue (GF), Physical fatigue (PF), Reduced activity (RA) and Mental fatigue (MF). Questions regarding age, sex, socioeconomic status, physical activity, sitting time and self-rated health were also included. Higher age correlated significantly with lower fatigue scores for the GF and MF subscales. Women had higher fatigue scores than men on all subscales (p < 0.05). Among men, higher socioeconomic status was related to lower fatigue for the GF, PF and RA subscales (age adjusted p < 0.05). Among women, higher socioeconomic status was related to lower fatigue for the PF and MF subscales (age adjusted p < 0.05). Higher physical activity was connected to lower levels of fatigue for all subscales (age and sex adjusted p < 0.001) except for MF. Longer time spent sitting was also related to more fatigue on all subscales (age and sex adjusted p < 0.005) except for MF. Better self-rated health was strongly associated with lower fatigue for all subscales (age and sex adjusted p < 0.001). Older, highly educated, physically active men, with little sedentary behavior are generally the least fatigued. Self-rated health is strongly related to fatigue. Interventions increasing physical exercise and reducing sedentary behavior may be important to help patients with fatigue and should be investigated in prospective studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 208 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 16%
Student > Bachelor 25 12%
Researcher 17 8%
Student > Ph. D. Student 17 8%
Other 10 5%
Other 28 13%
Unknown 78 38%
Readers by discipline Count As %
Medicine and Dentistry 33 16%
Nursing and Health Professions 25 12%
Psychology 16 8%
Sports and Recreations 7 3%
Engineering 7 3%
Other 34 16%
Unknown 86 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 08 March 2024.
All research outputs
#909,440
of 25,446,666 outputs
Outputs from BMC Public Health
#977
of 17,598 outputs
Outputs of similar age
#18,562
of 327,393 outputs
Outputs of similar age from BMC Public Health
#14
of 190 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,598 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 94% 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 327,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.