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Youth Risk and Parent Attitudes in Otsego County: Data Overview and Mental Health Arrests

This data overview highlights youth risk behaviors and parent attitudes in Otsego County, NY. It also presents information on mental health-related arrests and police responses. The survey data collection was made possible through a grant from the Scriven Foundation.

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Youth Risk and Parent Attitudes in Otsego County: Data Overview and Mental Health Arrests

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  1. Otsego County Youth & Parent Data OverviewDec 17, 2015 Risk Behaviors & Arrests Alcohol / Drugs Arrests & Police Related Calls Youth Risk Behaviors College-Related Age Risk & Behaviors Parent Attitude About Youth Risk Survey

  2. Data Collection and Presentation was made possible through a grant from the Scriven Foundation.Space and equipment at the Foothills Performing Arts Center was made possible through the support of Five Star Subaru.The Principal Investigator for this project is James Zians, PhD, from SUNY Oneonta.

  3. Opiate Arrests- Oneonta, NY(Opiates & Prescription Drugs) • Age (Mean 28) • Range age 17 to age 55 • Sex: • 33 Men, 12 Women • Arrest Type • 20 Felony, • 16 Misdemeanor • 9 Felony/Misdemeanor • Sale 6, Possession 34 Sale & Possession 4

  4. Opiate Arrests- Oneonta, NY(Opiates & Prescription Drugs) From Jan 1, 2014 through September 26, 2014

  5. Opiate & Prescription Drug Related Arrests– ONEONTA POLICE DEPT. All Age Groups January 1, 2014 through September, 26 2014

  6. Felonies 2004 to 2013Otsego County, NY

  7. Mean Felony Arrests 2004 to 2013 = 409 per year

  8. Mental Health IssuesPolice Responses January 1, 2014 through November 30, 2014 Mental Health-danger to self or others Threatening Behavior- Police determined (danger to self or others) Alcohol or Drug Related Threat (Risk Behavior or Incapacitated)

  9. MENTAL HEALTH RELATED POLICE RESPONSES– ONEONTA POLICE DEPT. Only Ages 25 and Less (Range Age 6 to Age 25) January 2014 through November 2014 Under age 15 = 6 Age 15 to 19 = 17 Age 20 to 25 = 45 Youth & Young Adults (Age 25 and less) comprise 68 of 157 total Mental Health Arrests

  10. AGE GROUPS OF MENTAL HEALTH RELATED POLICE RESPONSES ONEONTA POLICE DEPT. January 2014 through November 2014 These 3 areas Ages 25 and less

  11. TRANSPORTS MENTAL HEALTH-RELATED RESPONSES– ONEONTA POLICE DEPT. January 2014 through November 2014 Transport No Transport Necessary 83 Bassett = 39 Fox Hospital = 34 Binghamton = 1 ______________________ Total 157

  12. Local Public SchoolYouth Risk Survey Otsego County Spring 2013

  13. Youth Risk & Protective Factors Survey, Otsego County Schools, 2013 (N = 498)

  14. Youth Risk • By 10th grade there is a spike in experimentation/usage of alcohol, marijuana and cigarettes; there is also a spike in overall “sensation-seeking” behaviors, which, when not supervised, may be prerequisites of serious risk-taking behaviors. • Also of great concern are the unusually high rates of depressed feelings and suicidal ideation among the local adolescent sample, and of reporting a history of self harm when upset.

  15. Youth Risk Alcohol & Drug Use, Otsego County 2013 (N = 498; male = 240, female = 258)

  16. Handout: Comparison Data Local Schools in Otsego County Compared to MATCHING School in Another Rural Area– MATCHED SAMPLE

  17. 2012-2013: Four Counties of Southern Tier. Profile from NY State Office of Alcohol & Substance Abuse Services for Local Youth-Related Substance Abuse.

  18. Bullying: Local Students

  19. Parenting Survey Parent Respondents at Southside Mall Final Results N= 278

  20. ETHNICITY N = 278

  21. >7 N =278

  22. Community Connectedness • Empirical research shows that youth (and their families) who live in rural areas and feel more “attached” or “connected” to their communities are at less risk for problem behaviors such as mental illness, suicide risk, truancy, vandalism, alcohol or drug use problems, juvenile delinquency and other conduct problems and problems involving legal issues and local court systems. • A lack of “attachment” or “connectedness” to one’s community may sound an alarm that community actions and interventions are needed.

  23. How Connected I Feel to My Community

  24. Involved In My Child’s School

  25. How Connected My Child Feels to My Community

  26. Compare Parent & Child: Community Connectedness Parents Feel Connected My Child Feels Connected

  27. School Survey:Connectedness vs. Neighborhood Attachment Parents Feel Connected Local Schools: Youth Risk Survey PROTECTIVE FACTOR- “Local Neighborhood Attachment

  28. School Survey:Connectedness vs. Neighborhood Attachment My Child Feel Connected Local Schools: Youth Risk Survey PROTECTIVE FACTOR- “Local Neighborhood Attachment

  29. Zero Order Correlations Income (higher) r = .22* Parental Skill-Efficacy (higher) r = .21* Parents Create Child-Focused Home Environment (higher) r = .21* Belief: Should Marijuana Be Legalized? (not endorse) r = -.20* Knowledge of Drug & Alcohol Services Available in Otsego County (higher) r = -.15* Knowledge of Mental Health Services Available in Otsego County (higher) r = -.20* Confident I Could Access Mental Health Services for My Child If Needed (higher) r = -.17* Linear Regression Final Model Predicts: “I Feel Very Connected to the Community” Income (higher) “I Feel Very Connected to the Community” R2 = .14 β = .24 Parental Efficacy (higher) β = .22 Co Community MH Services (higher Knowledge) β = .16 Number of Children Number of Children

  30. Zero Order Correlations Income (higher) r = .14* Parental Skill-Efficacy (higher) r = .24* Parents Create Child-Focused Home Environment (higher) r = .21* Belief: Should Marijuana Be Legalized? (not endorse) r = -.20* Attitude that children should never use marijuana (higher) r = -.13* Linear Regression Final Model Predicts: “My Child FeelsConnected to the Community” Income (higher) “My Child Feels Very Connected to the Community” R2 = .11 β = .19 Parental Efficacy (higher) β = .24 Co Comfort Parental Role (higher) β = .13 Child-Focused Home Environment (higher) β = .21 Number of Children Number of Children

  31. Parental Perception of Youth Risk for Alcohol Abuse in Otsego County

  32. ALCOHOL RISK: Do you think your risk rating is higher, same or lower than other parents?

  33. Parental Attitudes: Alcohol Risk N = 278

  34. ANOVA: How likely are you to discuss Alcohol Risk to Your Child Yet Interestingly… More Likely to Discuss Less Likely to Discuss Group 2 1 to 4 Drinks/Ave. Group 3 5 or more Drinks/Ave. Group 1 Do Not Drink

  35. Do Parents Know What to Do If Faced with Drug or Alcohol Problems?

  36. In Favor of Lowering the Legal Drinking Age

  37. ANOVA: Parents who drink more, are more likely to be in favor of lowering the drinking age to age 18 NEWSFLASH ! If favor of lowering the drinking age Do not lower drinking age Group 2 1 to 4 Drinks/Ave. Group 3 5 or more Drinks/Ave. Group 1 Do Not Drink

  38. Ratings of Risk for Drug Abuse

  39. Should Marijuana Be Legalized? N = 278

  40. Endorsements: Marijuana Legalization by Lowering the Drinking Age

  41. Zero Order Correlations Age(older) r = .14* Parental role (high confidence) r = .24* Belief: Otsego Youth are At-Risk for Alcohol Abuse (higher) r = .19* Attitude: My Child Should Never Use Drugs (higher) r = .49* Belief: Otsego Youth are At Risk for Drug Abuse (higher) r = .14* Belief: My Child is Unlikely At Risk for Youth Violence (high belief) r = -.21* Concern My Child At Risk for Being Bullied (high concern) r = .15* Past History Using Support Services for School-related Problems (endorsed) r =.22* Past History Using Support Services for Drug/Alcohol-related Problems (endorsed) r =.28* When I Drink, Average Number of Drinks in One Evening (fewer) r = -.28* Logistic Regression Final Model Predicts: “Likely to Talk to My Child About Drug Abuse Risks” Parental Role (high Confidence) β = .24 Belief Alcohol Risk (high) “Likely to Discuss Drug Abuse Risks with Child” R2 = .41 β = .17 Attitude “Never Drugs” (high) β = .48 Violence Unlikely My Child (high) β = .23 Concern Bullying (high) β = .21

  42. Newspaper Article in The Star, Oneonta, NY, Oct. 29, 2014. Posts Tagged ‘Lt Doug Brenner’ Kids Back, Phony IDs Surfacing Published on Wednesday, 29 October 2014 10:42 AllOtsego.com Kids Back, Phony IDs Surfacing By LIBBY CUDMORE•Hometown Oneonta Edition of Friday, Oct. 17, 2014 The Chinese website www.reallygoodfakes.com could never be accused of false advertising. “They make fake IDs that fool the scanners at bars,” said Lt. Douglas Brenner, Oneonta Police Department. “They’ve even got the holograms.” Since college began, Brenner and the OPD

  43. Concern About Child Having a Fake ID?

  44. Bullying Concerns: Parents

  45. Knowledge of Services for Substance Abuse Treatment in Otsego County

  46. Know How to Access Services?

  47. Rate Your Knowledge of Mental Health Services?

  48. College Students Oneonta, NY Spring 2014 Data

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