| Title |
Association Between Childhood Residential Mobility and Non-medical Use of Prescription Drugs Among American Youth
|
|---|---|
| Published in |
Maternal and Child Health Journal, July 2015
|
| DOI | 10.1007/s10995-015-1785-z |
| Pubmed ID | |
| Authors |
Meagan E. Stabler, Kelly K. Gurka, Laura R. Lander |
| Abstract |
Prescription drug abuse is a public health epidemic, resulting in 15,000 deaths annually. Disruption of childhood residence has been shown to increase drug-seeking behavior among adolescents; however, little research has explored its association specifically with non-medical use of prescription drugs (NMUPD). The objective of the study was to measure the association between residential mobility and NMUPD. The 2010 National Survey on Drug Use and Health data were analyzed for 15,745 participants aged 12-17 years. NMUPD was defined as self-report of any non-medical use (i.e., taking a prescription drug that was not prescribed to them or consumption for recreational purposes) of tranquilizers, pain relievers, sedatives, or stimulants. Logistic regression for survey data was used to estimate the association between residential mobility and NMUPD, adjusting for potential confounders. After controlling for demographic, intrapersonal, interpersonal, and community factors, adolescents with low mobility (1-2 moves in the past 5 years) and residential instability (≥3 moves) were 16 % (OR 1.16, 95 % CI 1.01, 1.33) and 25 % (OR 1.25, 95 % CI 1.00, 1.56) more likely to report NMUPD compared to non-mobile adolescents (0 moves). Low-mobile adolescents were 18 % (OR 1.18, 95 % CI 1.01, 1.38) more likely to abuse pain relievers, specifically. No relationship was found between moving and tranquilizer, stimulant, or sedative use. Increasing childhood residential mobility is associated with NMUPD; therefore, efforts to prevent NMUPD should target mobile adolescents. Further examination of the psychological effects of moving and its association with pain reliever abuse is indicated. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Student > Bachelor | 10 | 18% |
| Researcher | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 19% |
| Psychology | 7 | 12% |
| Social Sciences | 5 | 9% |
| Unspecified | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 June 2021.
All research outputs
#7,884,135
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#828
of 2,039 outputs
Outputs of similar age
#90,174
of 265,376 outputs
Outputs of similar age from Maternal and Child Health Journal
#22
of 39 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. 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 265,376 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.