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CHILDHOOD WELLBEING & MEDIA USAGE JD felt California State University, Dominguez Hills.

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Presentation on theme: "CHILDHOOD WELLBEING & MEDIA USAGE JD felt California State University, Dominguez Hills."— Presentation transcript:

1 CHILDHOOD WELLBEING & MEDIA USAGE JD felt California State University, Dominguez Hills

2 Presentation outline  Childhood wellbeing (ChW)  What is it?  What does ChW mean to you?  Media & technology usage (M&T)  What is it?  What does M&T have to do with ChW?  Our Study  Why, what, how, & who  Discussion, conclusion & recommendations

3 Childhood wellbeing  Wellbeing; what it is & what its not  Optimal mental & physical health  (Heady, Holmstrom, & Wearing, 1984)  Not absence of illness  (WHO, 1999)  How ChW relates to ill-being  (Heady, Holmstrom, & Wearing, 1984)

4 Childhood wellbeing  What do we know about kid’s health today?  Obesity, poor eating habits, inactivity  Type II diabetes  ADHD  ASD  Stress, anxiety, & depression  (CDC, 2008; Lawlor et al, 2005; Puhl et al, 2007; Nestle, 2005; O’Dea et al, 2006)

5 M&T usage… What is it? Online usage Other computer use Email IM Talk on the phone Videogame console Texting  Online games  Listen to music  Watch TV  Watch DVD’s  Technological toys  Handheld games

6 M&T usage and ChW  Average media usage: 6.5 Hours/day  Child BMI’s: Approximately 50% of the sample at risk for overweight or obese  Poor eating habits & low phys. activity  (Dehghan, Akhtar-Danesh, & Merchant, 2005).  Tobacco, drugs, & alcohol, low academic achievement, sexual behavior, & ADHD  (Nunez-Smith, Emanuel, & Gross, (2008).

7 WHY?  Higher levels of M&T usage will predict lower levels of ChW  Greater M&T usage will promote more unhealthy eating which will in turn further increase childhood ill- being

8 Basic Model Adult age Adult gender Adult education Median income Ethnicity Child age Child gender Media Usage Unhealthy Eating Ill-being

9 What & Who?  Online survey  380 parents of children aged 6 months - 12 years  Ethnic background  Gender & age  SES

10 How?  Total M&T usage, average hours/day  Typical Dietary Intake  Healthy & Unhealthy variables  Childhood Ill-being

11 Typical Dietary Intake  Milk  Water  Diet drinks  Regular soda  Energy drinks  Coffee drinks  Fruits/veggies  Home cooked meals  Fast food  Dairy and egg products  Seafood  Pork  Beef  Chicken/turkey  Fried foods

12 Childhood Ill-being  Diabetes  High/low blood pressure  Cancer  Heart disease  Allergies  Sleeping issues  Headaches  Stomach aches  Bowel issues  Limb/joint pain  Depression  Anxiety  Stress  Over/under eating  Attention issues  Antisocial behavior  Anger, violence, emotional out bursts  Sleeping issues  Number of sick days/year

13 Basic Model Adult age Adult gender Adult education Median income Ethnicity Child age Child gender Media Usage Unhealthy Eating Ill-being

14 Results Correlational analysis Media Usage Childhood Ill-being Unhealthy Eating.47***.27***.37***

15 Result Regressional analysis Media Usage Childhood Ill-being Unhealthy Eating.27*** NS.28***

16 Result Detailed Regression Adult age Adult gender Adult education Median income Ethnicity Child age Child gender Media Usage Unhealthy Eating Ill-being -.13* -.11*.54***.27***.28*** - - - - - NS

17 Discussion  The pervasive nature of media and technology usage has a moderational effect on the relationship between eating behaviors and wellbeing, rendering it insignificant

18 Conclusion  Limitations  Correlational study  Self-report  Generalizability  Suggestions  Empirical studies  Accurate measurements  Focus on physical activity and medications

19 R ecommendations  DECREASE MEDIA USAGE  Increase physical activity  Encourage healthy eating habits, especially vegetable intake and home cooked meals  Discourage unhealthy eating habits like consuming fast foods, fried foods, soda and coffee drinks, and meat consumption.

20 Implications Media Usage Childhood Wellbeing

21 THANKS! Lynn Roxanne Joanne Steven Alex Syrah Helen Scott  WPA  George Marsh Applied Cognition Laboratory  Dr. Larry Rosen  Dr. Mark Carrier  Prof. Nancy Cheever


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