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Dietary pattern transitions, and the associations with BMI, waist circumference, weight and hypertension in a 7-year follow-up among the older Chinese population: a longitudinal study

Overview of attention for article published in BMC Public Health, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
facebook
2 Facebook pages

Citations

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40 Dimensions

Readers on

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100 Mendeley
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Title
Dietary pattern transitions, and the associations with BMI, waist circumference, weight and hypertension in a 7-year follow-up among the older Chinese population: a longitudinal study
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3425-y
Pubmed ID
Authors

Xiaoyue Xu, Julie Byles, Zumin Shi, Patrick McElduff, John Hall

Abstract

Few studies explored the effects of nutritional changes on body mass index (BMI), weight (Wt), waist circumference (WC) and hypertension, especially for the older Chinese population. By using China Health and Nutrition Survey 2004-2011 waves, a total of 6348 observations aged ≥ 60 were involved in the study. The number of participants dropped from 2197 in 2004, to 1763 in 2006, 1303 in 2009, and 1085 in 2011. Dietary information was obtained from participants using 24 hour-recall over three consecutive days. Height, Wt, WC, systolic and diastolic blood pressure were also measured in each survey year. The dietary pattern was derived by exploratory factor analysis using principal component analysis methods. Linear Mixed Models were used to investigate associations of dietary patterns with BMI, Wt and WC. Generalized Estimating Equation models were used to assess the associations between dietary patterns and hypertension. Over time, older people's diets were shifting towards a modern dietary pattern (high intake of dairy, fruit, cakes and fast food). Traditional and modern dietary patterns had distinct associations with BMI, Wt and WC. Participants with a diet in the highest quartile for traditional composition had a β (difference in mean) of -0.23 (95 % CI: -0.44; -0.02) for BMI decrease, β of -0.90 (95 % CI: -1.42; -0.37) for Wt decrease; and β of -1.57 (95 % CI: -2.32; -0.83) for WC decrease. However, participants with a diet in the highest quartile for modern diet had a β of 0.29 (95 % CI: 0.12; 0.47) for BMI increase; β of 1.02 (95 % CI: 0.58; 1.46) for Wt increase; and β of 1.44 (95 % CI: 0.78; 2.10) for Wt increase. No significant associations were found between dietary patterns and hypertension. We elucidate the associations between dietary pattern and change in BMI, Wt, WC and hypertension in a 7-year follow-up study. The strong association between favourable body composition and traditional diet, compared with an increase in BMI, WC and Wt with modern diet suggests that there is an urgent need to develop age-specific dietary guideline for older Chinese people.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Student > Master 12 12%
Student > Bachelor 12 12%
Student > Doctoral Student 8 8%
Researcher 5 5%
Other 17 17%
Unknown 33 33%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Nursing and Health Professions 18 18%
Social Sciences 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Agricultural and Biological Sciences 3 3%
Other 7 7%
Unknown 42 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 February 2017.
All research outputs
#2,291,522
of 22,882,389 outputs
Outputs from BMC Public Health
#2,632
of 14,924 outputs
Outputs of similar age
#44,663
of 364,244 outputs
Outputs of similar age from BMC Public Health
#78
of 385 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 82% 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 364,244 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 87% of its contemporaries.
We're also able to compare this research output to 385 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.