Otsego County Youth & Parent Data Overview Dec 17, 2015 Risk - - PowerPoint PPT Presentation

Otsego County Youth & Parent Data Overview

Dec 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

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.

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

From Jan 1, 2014 through September 26, 2014

Heroin 25 Suboxone 6 Cocaine 3 Meperdine 1 MDMA 2 Hydrocodone 1 Oxycodone 2 Her/Ergrotrate 2 Her/suboxone 3

Opiate Arrests- Oneonta, NY

(Opiates & Prescription Drugs)

From Jan 1, 2014 through September 26, 2014

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

Mean Felony Arrests 2004 to 2013 = 409 per year

Mental Health Issues Police Responses

January 1, 2014 through November 30, 2014

1. Mental Health-danger to self or others 2. Threatening Behavior- Police determined (danger to self or others) 3. Alcohol or Drug Related Threat (Risk Behavior or Incapacitated)

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

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

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

Local Public School Youth Risk Survey

Otsego County Spring 2013

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

Youth Risk

• By 10th grade there is a spike in experimentation/usage of

alcohol, marijuana and cigarettes; there is also a spike in

• verall “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.

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

Risk & Protective Factor Issue 6th Grade 8th Grade 10th Grade 12th Grade Drank Alcohol in the Past 30 days 1.3% 2.7% 18.7% 34.7% Smoked Marijuana Past 30 days 0.7% 0.9% 7.2% 20.4% Smoked Cigarettes Past 30 days 2.6% 1.8% 7.9% 16.3% Suicidal Ideation Past 30 Days 4.0% female 5.3% male 12.5% female 1.9% male 8.2% female 6.1% male 6.8% female 1.5% male Feel Depressed Much of Time 24.3% female 26.3% male 34.5% female 17.8% male 30.0% female 32.3% male 37.0% female 28.6% male Had Hurt Themselves (cutting or burning) When Upset 13.3% female 26.3% male 19.6% female 3.7% male 17.8% female 10.6% male 17.8% female 3.0% male Family Conflict 1.5% 2.4% 10.1% 5.0% Lack Attachment to Family 1.1% 2.2% 16.5% 6.5% Lack Family Supervision & Rules 0.6% 0.7% 12.9% 4.3%

Handout: Comparison Data

Local Schools in Otsego County Compared to MATCHING School in Another Rural Area– MATCHED SAMPLE

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

Otsego Schoharie Delaware Chenango

Prevalence Estimates (ages 12-17) 465 250 363 441 Alcohol/Drug Treatment Demand (age 12- 17) 116 63 91 110 In Treatment-All (% that are age 12-17) 11.9% 11% 21.5% 4.4% Crisis and/or Inpatient (% that are age 12-17) 3.2% 3.3% Residential (% that are age 12-17) 40% 50% 6.7% 7.1% Outpatient (% that are age 12-17) 16.1% 12.8% 28.3% 5.4% Prevalence Estimates (ages 12-17) 465 250 363 441

Bullying: Local Students

Risk & Protectiv e Factor Issue

6th Grade 8th Grade 10th Grade 12th Grade

Have you been bullied, past 30 days?

27.9% 23.1% 18.7% 12.7%

Have you been bullied another student, past 30 days?

10.5% 14.6% 15.1% 12.7%

Parenting Survey

Parent Respondents at Southside Mall Final Results N= 278

N = 278

ETHNICITY

>7

N =278

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.

How Connected I Feel to My Community

Involved In My Child’s School

How Connected My Child Feels to My Community

Compare Parent & Child: Community Connectedness

Parents Feel Connected My Child Feels Connected

School Survey: Connectedness vs. Neighborhood Attachment

Local Schools: Youth Risk Survey PROTECTIVE FACTOR- “Local Neighborhood Attachment

Parents Feel Connected

School Survey: Connectedness vs. Neighborhood Attachment

Local Schools: Youth Risk Survey PROTECTIVE FACTOR- “Local Neighborhood Attachment

My Child Feel Connected

Predicts: “I Feel Very Connected to the Community”

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

“I Feel Very Connected to the Community” R2 = .14

Co

Community MH Services

(higher Knowledge)

Income

(higher)

Parental Efficacy

(higher)

β = .16 β = .24 β = .22

Predicts: “My Child Feels Connected to the Community”

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

“My Child Feels Very Connected to the Community” R2 = .11

Co

Comfort Parental Role

(higher)

Income

(higher)

Parental Efficacy

(higher)

β = .13 β = .19 β = .24

Child-Focused Home Environment

(higher) β = .21

Parental Perception of Youth Risk for Alcohol Abuse in Otsego County

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

Parental Attitudes: Alcohol Risk

N = 278

ANOVA: How likely are you to discuss Alcohol Risk to Your Child

Less Likely to Discuss More Likely to Discuss

Yet Interestingly…

Group 1 Do Not Drink Group 2 1 to 4 Drinks/Ave. Group 3 5 or more Drinks/Ave.

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

In Favor of Lowering the Legal Drinking Age

ANOVA: Parents who drink more, are more likely to be in favor of lowering the drinking age to age 18

Do not lower drinking age If favor of lowering the drinking age Group 1 Do Not Drink Group 2 1 to 4 Drinks/Ave. Group 3 5 or more Drinks/Ave.

NEWSFLASH !

Ratings of Risk for Drug Abuse

Should Marijuana Be Legalized?

N = 278

Endorsements: Marijuana Legalization by Lowering the Drinking Age

Predicts: “Likely to Talk to My Child About Drug Abuse Risks”

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

“Likely to Discuss Drug Abuse Risks with Child” R2 = .41

Parental Role

(high Confidence)

Belief Alcohol Risk

(high)

Attitude “Never Drugs”

(high)

Violence Unlikely My Child

(high)

Concern Bullying

(high)

β = .24 β = .17 β = .48 β = .23 β = .21

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

Concern About Child Having a Fake ID?

Bullying Concerns: Parents

Knowledge of Services for Substance Abuse Treatment in Otsego County

Know How to Access Services?

Rate Your Knowledge of Mental Health Services?

College Students

Oneonta, NY Spring 2014 Data

College Students: CORE Alcohol & Drug Survey- Spring 2014

• In Spring 2014, the CORE Alcohol and Drug Survey was

administered to undergraduate students at SUNY Oneonta.

• Participation for the 39- item survey was voluntary, and all

respondents remained anonymous.

• While 659 students participated in the survey, three students

were eliminated from these analyses due to a majority of incomplete data (N =656).

• The sample was well represented by each year-level of the

college: Freshman 18.6%, Sophomore 22.3%, Junior 26.8%, Senior 29.9%,

Substance Abuse Risk Among SUNY Oneonta Students, Spring 214 (N = 667)

*Note: “Never Used” category is not included in this table.

These data only include the students who reported using alcohol or the drug listed. Those who “NEVER USED” the drug are not included here…

College: How Often Do You Use Alcohol?

Frequency of Alcohol Use During Past Year

N = 656

College: Use Alcohol in

• n Campus?

College: Use Alcohol in the Residence Halls?

College: Alcohol Frequency by Age

Percent of Alcohol & Drug Use During the Past 30 Days

Percent Use Past 30 days

195 students

N = 656

128 students 525 students 26 students 21 Students 9 students 28 students

Males reported more frequent use of marijuana during the past 30 days (male mean=2.7, female mean=1.7, t[649]=3.3, p=.001).

College Students: CORE Alcohol & Drug Survey- Spring 2014

• EARLY USE vs. 1st-USE IN COLLEGE. A variable was created to

discriminate between two groups of students: 1) those who experimented with alcohol before attending college (“first use before age 18”) versus 2) those who experimented with alcohol

• nce attending college (“first use after age 18”).
• DATA. 32% of the sample reported that they had experience with

1st- Use of alcohol before age 18; only 8.6% of the sample (57 respondents) reported that they “do not use” alcohol.

• RESULTS. Results demonstrated that students who reported binge-

drinking behaviors were associated with those who experimented with alcohol before attending college (before age 18) (χ2 = 35.0, p < .001).

Binge Drinking Behaviors Past 30 Days

N = 656

Yes No

While binge drinking was prevalent among both males (64.8%) and females (56.5%), the higher rate for males was significant (χ2=3.9, p<.05).

Perception of Risk: Having Five or More Drinks…

N = 656

Predicts: “Binge Drinking Behavior

During the Past 30 Days”

Zero Order Correlations

• Pot Use Past 30 Days (Higher) r = .30*
• Sex (Male) r = -.08*
• Alcohol First Use Before Age 18 (Yes) r = -.24*
• Age (Younger) r = -.12*
• Not Have a Job (Full-time or Part-time) r = .12*
• Grades GPA (Lower) r = -.15*
• Member or Leader - Fraternity or Sorority (Yes) r = .14*
• Live Off-Campus Housing (Yes) r =.18*

Logistic Regression Final Model

“Reported Binge Drinking Behaviors During the Past 30 Days”

R2 = .14

Having a Job

(No Job either Full or Part-Time)

Sex (Male) Alcohol 1st Use Before 18

(Yes)

“Pot” Use Past 30 Days

(Higher)

Fraternity Sorority

(Yes)

β = .12 β = -.08 β = -.20 β = .17 β = .10

Live Off-Campus

(Yes)

β = .09

College Student: How Often Do You Use Marijuana?

College: Age of First Use: Marijuana

Perception of Risk: Smoking Marijuana Regularly…

N = 656

Predicts: “Higher Marijuana Use

During the Past 30 Days”

Zero Order Correlations

• Binge Drinking (Yes) r = .30*
• Sex (Male) r = -.14*
• Alcohol First Use Before Age 18 (Yes) r = -.21*
• Grades GPA (Lower) r = -.14*
• Member or Leader-Fraternity or Sorority (Yes) r = .13*
• Live Off-Campus Housing (Yes) r =.16*

Linear Regression Final Model

“Higher Marijuana Use During the Past 30 Days”

R2 = .15

Live Off-Campus

(Yes)

Sex (Male) Alcohol 1st Use Before 18

(Yes)

Binge Drinking

(Yes)

Fraternity Sorority

(Yes)

β = .11 β = -.14 β = -.16 β = .17 β = .11

College Students: LAW ENFORCEMENT PROBLEMS- Spring 2014

• Respondents were also asked about problems with law

enforcement during the past year due to alcohol or drugs with 18.4% (124 respondents) reporting law enforcement problems.

• Interestingly female students were as likely as male students to

report law enforcement problems (80 female, 44 male, χ2 not significant). When asked whether they had ever “been taken advantage of sexually” while using drugs or alcohol, 14.6% responded yes (74 female, 22 males).

Problems While Using Alcohol or Drugs

N = 656

Problems While Using Alcohol or Drugs

N = 656

College Use: Opiates

ccc ccc

College: Age of First Use: Opiates

N = 23 out of 647

College: Frequency of Use: Cocaine

College: How Often Do You Use Tobacco?