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Age, period and cohort effects on adult physical activity levels from 1991 to 2011 in China

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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6 X users

Citations

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40 Dimensions

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103 Mendeley
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Title
Age, period and cohort effects on adult physical activity levels from 1991 to 2011 in China
Published in
International Journal of Behavioral Nutrition and Physical Activity, April 2016
DOI 10.1186/s12966-016-0364-z
Pubmed ID
Authors

Jiajie Zang, Shu Wen Ng

Abstract

To date no work has differentiated the effects of age, period, and cohort on physical activity (PA) among Chinese adults, while also considering biological, behavioral, economic, and environmental factors over time. We used data from the China Health and Nutrition Survey (CHNS) between 1991 and 2011 (20 years). The outcomes of interest are metabolic equivalent of task (MET) hours per week from work and domestic activities. Age, individual characteristics, household size, asset ownership, urbanization were included as covariates. Analyses for adult (≥20y) males (n = 29,343) and females (n = 31,094) was conducted to explicitly assess differences in PA due to age vs period effects, and implicitly assess differences by cohorts due to the period-specific experiences across individuals of varying ages. The mean age of the sample rose from 41.31 to 50.8 years and PA decreased from 427.75 ± 264.35 MET hours per week (MET-hr/wk) in 1991 to 245.99 ± 206.65 MET-hr/wk in 2011, with much steeper declines for women compared to men. For both genders, we found non-linear decreases in PA with age over time. Controlling for age effects, negative period effects on PA were observed in each survey year, and were substantial from 1993 to 2000 for males and from 1993 to 2011 for females. The interaction between survey year and age (P < 0.05) were observed from 2004 to 2011. Higher community urbanicity, vehicle ownership, TV and computer ownership, overweight and obese, higher education served as negative predictors. Bicycle ownership, bigger household size, non-professional jobs, being married and having more children (for women) were positive predictors of PA (P < 0.05). Furthermore, at any given age, individuals who were younger at baseline had higher mean PA compared with individuals older at baseline. This study followed a large cohort of adults over a significant portion of their lives. Strong age and secular trends were observed, resulting in an increasing number of participants who have or are likely to lower their PA levels. These trends suggest that tackling the rapid PA decline among its population is of high priority for China's public health outlook as its population ages and continues to experience significant economic and environmental changes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 102 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Student > Bachelor 13 13%
Researcher 12 12%
Student > Master 11 11%
Student > Doctoral Student 7 7%
Other 17 17%
Unknown 29 28%
Readers by discipline Count As %
Medicine and Dentistry 17 17%
Nursing and Health Professions 12 12%
Sports and Recreations 11 11%
Social Sciences 9 9%
Economics, Econometrics and Finance 5 5%
Other 14 14%
Unknown 35 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 29 November 2017.
All research outputs
#2,056,103
of 22,865,319 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#789
of 1,935 outputs
Outputs of similar age
#35,338
of 299,364 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#14
of 25 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,935 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.6. This one has gotten more attention than average, scoring higher than 59% 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 299,364 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 88% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.