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Effects of Diet and Exercise on the Mental Health of Adolescents in California. Katherine Williamson Padilla 12/16/2010 Bay Bridge Training Center. Agenda. Background Data Sources & Collection Method Univariate Analysis (1) Multivariate Analysis (2) Qualitative Analysis (3) Conclusion
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Katherine Williamson Padilla
Bay Bridge Training Center
Adolescence is key!
Causes of Mental Illness
Research on Adults..but what about kids?
Why is this important?
Clayton SL, Brindis, CD, Hamor JA, Raiden-Wright H, Fong, C. (2000). Investing in Adolescent
Health: A Social Imperative for California’s Future. San Francisco, CA: University of California, San Francisco. National Adolescent Health Information Center.
RDD telephone survey of land / cell phone lines in CA
41 single county strata & 3 multi-county strata of 17 counties
1 Adult & 1 Adolescent
N = 3,638 adolescents
Unit of Analysis: Adolescents in the State of CA
Dependent Variable: Mental Health Status as measured by “feelings of depression within the last 30 days”
Independent Variables: Eating & Exercise habits
Is mental health normally distributed? (No!)
1 = All of the Time
2 = Most of the Time
3 = Some of the Time
4 = Not very much of the Time
5 = Not at All
.5% = All of the Time
77.3% = Not at All
Skewness = -2.303
Are good eating habits normally distributed? (No!)
1 = Yes
2 = No
21.8% = Yes
Skewness = -.1.369
Are good exercise habits normally distributed? (Somewhat)
Regression Analysis reveals that more fruits/veggies & more exercise =less depression
What effects how much exercise/fruits/veggies a kid gets?
Maybe SES…Multivariate Analysis (2)
R squared = .015
There is a correlation, but its weak …..
Crosstab of SES & depression reveals a correlation- 81% of kids in top SES class not at all depressed compared with 61% of kids in the bottom SES (4% vs. 11% for “sometimes depressed)
R squared for fruits/vegs & exercise & depression = .015
R squared for SES & depression = .020
R squared for SES & exercise = .023
*knowing exercise only increased predictive value by 3% (but forecast accuracy does increase by 50% more than knowing just fruits/vegs)...SES is most significant
7 question, open-ended survey
Example Questions --
Question 1: How do life style choices like eating and exercise habits influence the mental health of teens?
42% Of total responses indicated diet & exercise make adolescents feel better (endorphins) when dealing with depression
37% said higher levels of diet/exercise led to improved self-esteem in kids
There is a link…but its weak
Qualitative Data Confirms
SES is more predictive
What can I take away from this?