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The association between socioeconomic deprivation and secondary school students’ health: findings from a latent class analysis of a national adolescent health survey

Overview of attention for article published in International Journal for Equity in Health, July 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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4 news outlets
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42 X users

Citations

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45 Dimensions

Readers on

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165 Mendeley
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Title
The association between socioeconomic deprivation and secondary school students’ health: findings from a latent class analysis of a national adolescent health survey
Published in
International Journal for Equity in Health, July 2016
DOI 10.1186/s12939-016-0398-5
Pubmed ID
Authors

Simon Denny, Sonia Lewycka, Jennifer Utter, Theresa Fleming, Roshini Peiris-John, Janie Sheridan, Fiona Rossen, Donna Wynd, Tasileta Teevale, Pat Bullen, Terryann Clark

Abstract

The aims of this study were to examine indicators of socioeconomic deprivation among secondary school students and to determine associations between household poverty, neighbourhood deprivation and health indicators. Data were from a nationally representative sample of 8500 secondary school students in New Zealand who participated in a health survey in 2012. Latent class analyses were used to group students by household poverty based on nine indicators of household socioeconomic deprivation: no car; no phone; no computer; their parent/s worry about not having enough money for food; more than two people sharing a bedroom; no holidays with their families; moving home more than twice that year; garages or living rooms used as bedrooms; and, no parent at home with employment. Multilevel generalized linear models were used to estimate the cross-level interaction between household poverty and neighbourhood deprivation with depressive symptoms, cigarette smoking and overweight/ obesity. Three groups of students were identified: 80 % of students had low levels of household poverty across all indicators; 15 % experienced moderate poverty; and 5 % experienced high levels of poverty. Depressive symptoms and cigarette smoking were 2-3 times higher in the poverty groups compared to student's not experiencing poverty. There were also higher rates of overweight/ obesity among students in the poverty groups compared to students not experiencing poverty, but once covariates were accounted for the relationship was less clear. Of note, students experiencing poverty and living in affluent neighbourhoods reported higher levels of depressive symptoms and higher rates of cigarette smoking than students experiencing poverty and living in low socioeconomic neighbourhoods. This cross-level interaction was not seen for overweight/ obesity. Measures of household socioeconomic deprivation among young people should not be combined with neighbourhood measures of socioeconomic deprivation due to non-linear relationships with health and behaviour indicators. Policies are needed that address household poverty alongside efforts to reduce socioeconomic inequalities in neighbourhoods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 17%
Student > Ph. D. Student 24 15%
Researcher 16 10%
Student > Bachelor 16 10%
Student > Postgraduate 12 7%
Other 27 16%
Unknown 42 25%
Readers by discipline Count As %
Nursing and Health Professions 31 19%
Medicine and Dentistry 22 13%
Social Sciences 19 12%
Psychology 14 8%
Economics, Econometrics and Finance 4 2%
Other 20 12%
Unknown 55 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 August 2017.
All research outputs
#739,163
of 25,850,671 outputs
Outputs from International Journal for Equity in Health
#79
of 2,274 outputs
Outputs of similar age
#14,301
of 374,556 outputs
Outputs of similar age from International Journal for Equity in Health
#3
of 46 outputs
Altmetric has tracked 25,850,671 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 96% 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 374,556 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 96% of its contemporaries.
We're also able to compare this research output to 46 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.