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PMCID: PMC3395162
NIHMSID: NIHMS266326
Dog Ownership and Adolescent Physical Activity
The publisher's final edited version of this article is available at Am J Prev Med
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Abstract
Background
Positive
associations between dog ownership and adult health outcomes have been
observed, but research involving youth is lacking.
Purpose
The
purpose of this study was to assess the relationship of family dog
ownership to adolescent and parent physical activity, weight status, and
metabolic risk factors.
Methods
Data
were collected on dog ownership in 618 adolescent/parent pairs between
9/2006 and 6/2008 and analyzed in 2010. Adolescent physical activity was
assessed by ActiGraph accelerometers. Trained staff measured blood
pressure, height and weight, and percentage body fat was calculated by
impedance. A subsample of adolescents (n=318) opted for a
fasting blood draw used to derive a metabolic risk cluster score.
Parents and adolescents provided consent and assent, respectively.
Results
Adolescents’
mean age was 14.6±1.8 years and 49% were male. White and higher SES
adolescents were more likely to own a dog. In models adjusted for age,
puberty, gender, race, total household members and SES, adolescent
physical activity (mean counts min−1 day−1)
remained significantly associated with dog ownership (β=24.3, SE=12.4,
p=0.05) while the association with minutes of moderate-to-vigorous
physical activity day−1 became nonsignificant (β=2.2, SE=1.2, p=0.07). No significant results were observed for other adolescent characteristics.
Conclusions
Dog
ownership was associated with more physical activity among adolescents.
Further research using longitudinal data will help clarify the role
that dog ownership may have on adolescent physical activity.
INTRODUCTION
Physical inactivity is a major public health problem1–3 and may play a substantial role in the etiology of youth obesity and type II diabetes.4–6
Recently, dog ownership has been positively associated with
health-related factors among middle-aged and older adults, including
physical activity,7–12 weight,9 and mental health.13–16
However, there is little information about the associations between dog
ownership and youth health behaviors and outcomes. The family dog may
provide external motivation for physical activity similar to having a
walking or workout partner—a common method used to increase exercise
adherence. The purpose of this study was to determine the relationship
of family dog ownership to adolescent physical activity, screen time and
related health outcomes. It was hypothesized that dog ownership would
be positively associated with physical activity and negatively
associated with weight status, screen time and other health outcomes.
METHODS
Samples
Adolescent
participants were enrolled in one of two cohort studies: (1) the
Identifying Determinants of Eating and Activity Study (IDEA, 2006–2007)
and (2) the Etiology of Childhood Obesity Study (ECHO, 2007–2008). Both
studies were conducted within the metropolitan area of Minneapolis–St.
Paul, Minnesota, and included identical measurement protocols. These
samples were combined in order to provide a larger and more diverse
sample. Both studies have been described previously.17–18
Measures
Data
were collected during a 2-hour clinic visit with an optional
supplemental study including a fasting blood draw. All study protocols
were approved by the University of Minnesota IRB.
Independent variable
Dog ownership
was self-reported by parents by asking “How many dogs are in your
home?” Response options of “0”, 1”, “2”, and “3 or more” were recoded to
“none” and “one or more”.
Dependent variables
The
ActiGraph accelerometer, model 7164 (ActiGraph, LLC, Pensacola, FL) was
used to collect 7 days of physical activity data using standard right
hip placement and 30-second epochs (data collection intervals).19,20 ActiGraph data were reduced using the ActiProcess software 21
which employs imputation based on the Expectation Maximization
algorithm. Summary physical activity variables were calculated using the
Freedson age-specific count cutoffs 22 distinguishing moderate- and vigorous-intensity based on age-adjusted METs.23,24 Mean accelerometer counts per minute were also calculated as a measure of total movement.
Covariates
Adolescents
reported their gender and age; parents reported the number of people
living in the household, if their child qualified for free or reduced
priced lunch (FRL, Y/N), and highest level of education among the adults
living in the household (≥College degree, Y/N). Adolescents completed
the self-report Pubertal Development Scale (Cronbach’s α = 0.77)28 to control for puberty’s confounding effects when examining associations with BMI and body fat.
Analysis
Analyses
were conducted in 2010 using SAS v. 9.1 (SAS Institute, Cary, NC). Only
one parent/adolescent dyad from each household was included in these
analyses. Unadjusted analyses included t-tests to determine differences
by dog ownership category and Spearman correlations to determine
bivariate associations between dog ownership and dependent variables.
Subsequent regression analyses were conducted using those variables with
p<0.05 in correlational analyses. PROC GENMOD (General Estimating
Equations) was used for linear regression, adjusting for covariates, the
study sample (IDEA vs ECHO), and accounting for possible clustering by
school. Interactions were tested to determine if the relationship
between dog ownership and the dependent variables was modified by
adolescent gender and age.
Results
After excluding dyads with missing data, the final sample was n=618.
Adolescents who were white and/or not receiving FRL were more likely to
be from dog-owning families (p<0.05 and p<0.01, respectively).
Mean daily minutes of Moderate to Vigorous Physical Activity (MVPA) was
significantly greater for adolescents who owned a dog (p<0.05). See Table 1.
Participant health-related physiologic and behavioral measures by dog ownership (n=618); M (SD) or %
Table 2
shows both measures of physical activity (accelerometer counts per
minute and MVPA) were positively correlated with dog ownership
(p<0.05). Therefore, these variables were evaluated in an adjusted
regression model.
Spearman correlations between dog ownership (0 vs 1+) and health-related physiologic and behavioral variables
Mean
daily accelerometer counts per minute remained significantly associated
with dog ownership (B = 24.3, SE = 12.4, p = 0.05) after controlling
for all potential confounders. The association between dog ownership and
mean daily minutes of MVPA was no longer significant (B = 2.2, SE =
1.2, p = 0.07) after controlling for confounders. There were no
significant (p>0.05) interactions.
DISCUSSION
A
small but positive association was observed between dog ownership and
adolescent total activity (mean daily ActiGraph counts per minute) that
remained significant after controlling for a wide range of demographic
confounders. Several previous studies observed similar positive
associations between dog ownership and adult physical activity.11
Children and adolescents may not have the primary responsibility of
walking the dog but may actively play with the family dog, thus
contributing to their overall minutes engaging in physical activity.
However, dog walking behavior and active play with the family dog were
not assessed in this study and need to be studied further. Although
small, the magnitude of these associations should be considered within
an ecologic perspective where physical activity is affected by multiple
factors at several levels of influence.
The
cross-sectional nature of this study does not allow us to determine
causality between dog ownership and activity. Therefore, families with
more-active children may be more likely to get a dog as a pet, rather
than dogs causing youth to be more active. Longitudinal data measuring
physical activity and other health outcomes before and after dog
acquisition in large, representative samples are needed to address this
question. Several small longitudinal studies have indicated increases in
adult walking and physical activity following dog acquisition,29–31 but there have been no comparable studies with youth.
In
addition, this study did not assess factors that could potentially
moderate the association between physical activity and dog ownership,
such as the size and breed of the dog, the home and neighborhood
environments, the role of specific family members in walking and/or
actively playing with the dog, and the level of attachment to the dog.
Furthermore, the relatively healthy, homogeneous sample may have limited
the ability to see stronger associations that might be more apparent
with a more diverse population.
CONCLUSION
A
positive association was observed between family dog ownership and
objectively measured adolescent physical activity. In contrast, dog
ownership was not significantly associated with youth sedentary
behavior. This study is among the first of its kind to examine such
relationships among youth. Additional research is needed to further
understand the associations between dog ownership and health.
Acknowledgments
The
authors thank the participating families and our funding sources: NCI’s
Transdisciplinary Research in Energetics & Cancer Initiative (NCI
Grant 1 U54 CA116849-01), Examining the Obesity Epidemic Through Youth,
Family & Young Adults (PI: Robert Jeffery, PhD).
Footnotes
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