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Family management risk and protective factors for adolescent substance use in South Africa

Overview of attention for article published in Substance Abuse Treatment, Prevention, and Policy, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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34 Dimensions

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218 Mendeley
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Title
Family management risk and protective factors for adolescent substance use in South Africa
Published in
Substance Abuse Treatment, Prevention, and Policy, June 2018
DOI 10.1186/s13011-018-0163-4
Pubmed ID
Authors

Beatrice Wamuyu Muchiri, Monika M. L. dos Santos

Abstract

An increasingly recognised prevention approach for substance use entails a reduction in risk factors, and the enhancement of promotive, or protective factors in individuals and the environment surrounding them during their growth and development. This exploratory study evaluated the effect of potential risk and protective factors associated with family management relating to adolescent substance use in South Africa. Exploratory analysis and cumulative odds ordinal logistic regression modelling was performed on the data, while controlling for the influence of demographic and socio-economic characteristics on adolescent substance use. The most frequently used substances were cannabis, followed by other illicit substances and alcohol in decreasing order of use intensity. The specific protective, or risk effect of family management factors, varied according to substance. Risk factors associated with demographic and socio-economic factors included being male, of a younger age, lower education grades, of a coloured ethnicity, adolescents from divorced parents, and unemployed or fully employed mothers. Several family management factors, categorised as parental monitoring, discipline, behavioural control and rewards, demonstrated either risk or protective effects on adolescent substance use. This exploratory study demonstrated that various risk and protective factors associated with family management may affect adolescent substance use. Interaction amongst risk or protective factors, as well as the type of substance, should be considered when further considering interventions based on these risk or protective factors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 15%
Student > Postgraduate 21 10%
Student > Bachelor 20 9%
Researcher 13 6%
Student > Ph. D. Student 13 6%
Other 35 16%
Unknown 84 39%
Readers by discipline Count As %
Psychology 34 16%
Nursing and Health Professions 26 12%
Social Sciences 16 7%
Medicine and Dentistry 16 7%
Unspecified 8 4%
Other 26 12%
Unknown 92 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 28 July 2018.
All research outputs
#4,091,104
of 23,577,654 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#220
of 685 outputs
Outputs of similar age
#77,373
of 329,123 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#10
of 13 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 66% 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 329,123 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 76% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.