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Family lifestyle dynamics and childhood obesity: evidence from the millennium cohort study

Overview of attention for article published in BMC Public Health, April 2018
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2 tweeters

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3 Dimensions

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41 Mendeley
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Title
Family lifestyle dynamics and childhood obesity: evidence from the millennium cohort study
Published in
BMC Public Health, April 2018
DOI 10.1186/s12889-018-5398-5
Pubmed ID
Authors

Laura A. Gray, Monica Hernandez Alava, Michael P. Kelly, Michael J. Campbell

Abstract

The prevalence of childhood obesity has been increasing but the causes are not fully understood. Recent public health interventions and guidance aiming to reduce childhood obesity have focused on the whole family, as opposed to just the child but there remains a lack of empirical evidence examining this relationship. Using data from the longitudinal Millennium Cohort Study (MCS), we investigate the dynamic relationship between underlying family lifestyle and childhood obesity during early childhood. The MCS interviewed parents shortly after the birth of their child and follow up interviews were carried out when the child was 3, 5 and 7 years. We use a dynamic latent factor model, an approach that allows us to identify family lifestyle, its evolution over time (in this case between birth and 7 years) and its influence on childhood obesity and other observable outcomes. We find that family lifestyle is persistent, 87.43% of families which were above the 95th percentile on the lifestyle distribution, remained above the 95th percentile when the child was 7 years old. Family lifestyle has a significant influence on all outcomes in the study, including diet, exercise and parental weight status; family lifestyle accounts for 11.3% of the variation in child weight by age 7 years. The analysis suggests that interventions should therefore be prolonged and persuasive and target the underlying lifestyle of a family as early as possible during childhood in order to have the greatest cumulative influence. Our results suggest that children from advantaged backgrounds are more likely to be exposed to healthier lifestyles and that this leads to inequalities in the prevalence of obesity. To reduce inequalities in childhood obesity, policy makers should target disadvantaged families and design interventions specifically for these families.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 10 24%
Student > Master 7 17%
Student > Ph. D. Student 6 15%
Student > Bachelor 4 10%
Student > Postgraduate 4 10%
Other 10 24%
Readers by discipline Count As %
Unspecified 12 29%
Medicine and Dentistry 8 20%
Nursing and Health Professions 8 20%
Social Sciences 4 10%
Psychology 3 7%
Other 6 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 July 2018.
All research outputs
#7,641,909
of 13,266,991 outputs
Outputs from BMC Public Health
#6,171
of 9,135 outputs
Outputs of similar age
#139,576
of 270,849 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 13,266,991 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,135 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 29th percentile – i.e., 29% 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 270,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them