N M O S A P R E C I P I E N T M E E T I N GA U G U S T 2 7 , 2 0 1 3

NM COMMUNITY SURVEY AND STRATEGIES FOR SUCCESS: PRELIMINARY 2013 RESULTS

WHO IMPLEMENTED THE NMCS?

Groups County Total NEligible

N

Current OSAP Sites

San Juan 400 399

  Taos 414 411

  Laguna 208 206

  N. Rio Arriba 246 230

  Albuquerque/Bernalillo 352 339

Past SPF SIG Catron 300 300

  Hidalgo 325 315Comparison sites

Zia 106 101

  Chaves 517 457

Grand total 2868 2758

WHO ASKED WHAT?

• No sites used the entire survey • Almost all sites included alcohol use and access

items• Many included prescription drug use questions• Only a few included mental health questions

DEMOGRAPHICS

Characteristics n %Age (n=2758)

Ages 18-20 234 8.5Ages 21-25 354 12.8Ages 26-30 375 13.6Ages 31-40 551 20.0Ages 41-50 536 19.4Ages 51-60 385 14.0Ages 61-70 238 8.6Ages 71 + 85 3.1

Biological Sex Male 984 36.2 Female 1737 63.8Race/Ethnicity White 926 33.6 Hispanic 1199 43.5 Native American 540 19.6 Other  93 3.4

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

40.0 37.4

18.9

6.3 5.9

21.6

12.3

6.5

18.1

5.0

15.4

Overall Prevalence of Risk Behavior and Need Among the Whole Sample

Risk Behavior

Perc

en

t

TOBACCO

PAST 30-DAY CIGARETTE AND TOBACCO USE

Whole sample

Male Female Whole sample

Male Female

Every day Some days

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

15.2%

20.6%

11.8% 11.6%

15.0%

9.3%

3.5%

7.8%

0.9%

4.4%

8.2%

1.9%

Cigarette use Tobacco use

ALCOHOLAND RELATED QUESTIONS

PAST 30 DAY ALCOHOL USE BY BIOLOGICAL SEX

0.0%

10.0%

20.0%

30.0%

40.0% 37.4%

18.9%

6.3% 5.9%

42.6%

25.4%

8.0% 7.2%

34.6%

15.4%

5.5% 5.3%

Whole Sample Male Female

PAST 30 DAY ALCOHOL USE BY RACE/ETHNICITY

0.0%

10.0%

20.0%

30.0%

40.0%39.9%

15.2%

5.6% 5.9%

39.7%

21.6%

6.8% 6.4%

24.3%18.5%

4.8% 3.7%

38.9%

19.4%13.9%

8.5%

White (n=783) Hispanic (n=1135) Native American (n=350) Other (n=72)

PAST 30-DAY ALCOHOL USE BY AGE

30-day alcohol use Five or more drinks on one occasion in past 30

days

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%

50.0%

31.3%

22.4%

39.8%

26.0%

44.7%

25.9%

44.5%

24.7%

35.7%

15.6%

33.3%

12.2%

26.8%

4.1%

Ages 18-20 Ages 21-25Ages 26-30Ages 31-40Ages 41-50 Ages 51-60Ages 61 +

PAST 30-DAY DRIVING WHILE INTOXICATED BY AGE

Driven under influence in past 30 days

Driven in past 30 days after having had 5 or

more drinks

0.0%

2.0%

4.0%

6.0%

8.0%

10.0%

12.0%

14.0%

16.0%

Ages 18-20 Ages 21-25Ages 26-30Ages 31-40Ages 41-50 Ages 51-60Ages 61 +

PAST 30-DAY BINGE DRINKING AMONG VETERANS

Veteran/Active Duty Non-Veteran0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

20.3%

17.1%

ACCESS TO ALCOHOL (N=202)

Bought it at a store

Bought it at a restaurant/bar/public place

Parent/guardian gave or bought it

Adult family member gave or bought it

Unrelated adult gave or bought it

Someone underage gave or bought it

Took it from home

Took it from store without paying

Got it in Mexico

Got it at a party

Got it some other way

0.0% 5.0% 10.0% 15.0% 20.0%

1.0%

1.8%

7.9%

7.4%

17.3%

5.0%

4.0%

0.5%

2.5%

12.9%

1.0%

PRESCRIPTION PAIN KILLERSAND RELATED QUESTIONS

PRESCRIPTION PAIN KILLER USE BY BIOLOGICAL SEX

Past Year Rx Pain Killer Prescribed

Past 30-Day Rx Pain Killer Use0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

21.6%

12.3%

18.0%

12.5%

23.8%

12.2%

Whole Sample Male Female

PAST 30-DAY PRESCRIPTION PAIN KILLER USE BY RACE/ETHNICITY

-5.0%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

12.8%10.1%

14.3%

24.4%

PAST 30-DAY PRESCRIPTION PAIN KILLER USE BY AGE

Ages 18-20

Ages 21-25

Ages 26-30

Ages 31-40

Ages 41-50

Ages 51-60

Ages 61 +0.0%

2.0%

4.0%

6.0%

8.0%

10.0%

12.0%

14.0%

16.0%

18.0%

20.0%18.1%

11.5%

9.1%

14.1%

9.9%

13.1%12.0%

PAST 30-DAY PRESCRIPTION PAIN KILLER USE BY ARMED SERVICE STATUS

Veteran/Active Duty Civilian0.0%

5.0%

10.0%

15.0%13.6%

14.7%

PAST 30-DAY PRESCRIPTION DRUG USE BY BINGE DRINKING STATUS

Non-Binge Drinker (n= 1566) Current Binge Drinker (n=381)0.0%

2.0%

4.0%

6.0%

8.0%

10.0%

12.0%

14.0%

16.0%

18.0%

20.0%

9.8%

18.6%

REASONS OF PRESCRIPTION DRUG USE (N=283)

To treat pain that my doctor or dentist identified

For pain not identified by my physician

To have fun with a friend or friend(s) socially

To help me sleep

To get high, messed up or stoned

To cope with anxiety or stress

To substitute for other drugs or medications

To affect the impact other drugs

To cope with social pressure

To avoid the bad feelings of withdrawal

Another reason

0.0% 20.0% 40.0% 60.0% 80.0%

60.1%

25.1%

3.9%

10.6%

8.1%

8.8%

3.9%

1.4%

3.5%

3.5%

3.9%

SOURCES OF PRESCRIPTION DRUGS (N=283)

One doctor prescribed for one pain problem

Different doctors prescribed for one pain problem

Different doctors prescribed for different pain problems

Family member shared

Friend shared

Bought from a dealer/stranger

Taken from a friend/relative

Bought on the internet

Bought in Mexico

Other places

0.0% 20.0% 40.0% 60.0% 80.0%

62.5%

4.2%

3.5%

14.5%

15.9%

3.2%

1.4%

0.4%

3.9%

2.1%

MENTAL HEALTHAND RELATED QUESTIONS

MENTAL HEALTH CONCERNS BY BIOLOGICAL SEX

0.0%

4.0%

8.0%

12.0%

16.0%

20.0%

6.5%

18.1%

5.0%

15.4%

5.8%

18.5%

7.4%

14.1%7.1%

18.1%

3.8%

16.4%

Whole Sample Male Female

MENTAL HEALTH CONCERNS BY RACE/ETHNICITY

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

6.1%

21.0%

7.4%

20.8%

7.0%

16.4%

4.1%

13.1%

4.1%

19.3%

3.8%

14.0%15.8% 15.9%

7.3%

16.3%

White Hispanic Native American Other

MENTAL HEALTH CONCERNS BY AGE

0.0%5.0%

10.0%15.0%20.0%25.0%

Ages 18-20 Ages 21-25Ages 26-30Ages 31-40Ages 41-50 Ages 51-60Ages 61 +

MENTAL HEALTH CONCERNS BY AGE

0.0%5.0%

10.0%15.0%20.0%25.0%

Ages 18-20 Ages 21-25Ages 26-30Ages 31-40Ages 41-50 Ages 51-60Ages 61 +

MENTAL HEALTH CONCERNS BY ARMED SERVICE STATUS

0.0%

4.0%

8.0%

12.0%

16.0%

20.0%

5.6%8.2%

4.9%6.5%6.0%

18.5%

4.8%

13.5%

Veteran/Active Duty Civilian

MENTAL HEALTH CONCERNS BY BINGE DRINKING

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

6.4%

15.8%

4.7%

15.4%

7.3%

26.5%

1.2%

15.0%

No (n=1566) Yes (n=381)

SOURCES OF PROFESSIONAL HELP (N=180)

Primary care provider

Private therapist or counselor

Community mental or behavioral health center

Psychiatrist

Other healers like herbalist etc.

Faith-based services

Spiritual healer

Emergency room

Inpatient behavioral health services or detox

While in jail or prison

Other health practitioner

0.0% 10.0% 20.0% 30.0% 40.0%

35.6%

36.1%

30.6%

10.6%

10.0%

10.0%

3.3%

7.8%

5.0%

3.9%

7.2%

TYPES OF PROFESSIONAL HELP (N=120)

One on one therapy

Group therapy

Self-help groups like 12- step, AA

Minister, priest or other spiritual guide/healer

Inpatient (overnight)

Emergency care

Detox

Medication

Herbs, acupuncture or homeopathy

Something else

0.0%

10.0

%

20.0

%

30.0

%

40.0

%

50.0

%

60.0

%

70.0

%

60.8%

14.2%

14.2%

7.5%

3.3%

0.8%

4.2%

23.3%

10.8%

8.3%

ACCESS TO ALCOHOL AND PERCEPTION OF RISK

ACCESS TO ALCOHOL

Mean (SD) Range

Very difficul

t

Somewhat difficult

Somewhat easy

Very easy

Don't know

Teens in the community to get alcohol (n=1225)

1.73 (0.87) 1-4 4.6% 10.1% 29.4% 42.7

%13.2%

Teens in the community to get alcohol from stores and restaurants (n=1636)

2.72 (1.01) 1-4 23.4% 27.7% 22.7% 12.3

%13.9%

PERCEPTION OF RISK OF LEGAL CONSEQUENCES

 Mean (SD)

RangeVery likely

Somewhat likely

Not very likely

Not at all

likely

Don't know

Likelihood of police breaking up parties where teens are drinking (n=1864)

2.67 (0.92) 1-4 16.5% 35.9% 23.7% 10.9

%13.0%

Likelihood of police arresting an adult for giving alcohol to someone under 21 (n=2037)

2.78 (1.00) 1-4 25.4% 27.6% 22.4% 11.1

%13.4%

Likelihood of someone being arrested if caught selling alcohol to a drunk or intoxicated person (n=2115)

2.62 (1.00) 1-4 20.8% 27.6% 28.2% 13.4

%10.0%

Likelihood of being stopped by police if driving after drinking too much (n=2117)

2.93 (0.90) 1-4 27.1% 39.1% 19.4% 7.1% 7.4%

Likelihood of being convicted if stopped and charged with DWI (n=2081)

3.36 (0.83) 1-4 47.7% 29.3% 7.4% 4.3% 11.4%

2013 NMCS SUMMARY OF RESULTS

• Over 20% of males reported smoking cigarettes every day• Over 25% of males reported binge drinking in the

past 30 days• 18-20 year olds report the highest prevalence of

driving under the influence and after 5 or more drinks compared to all other age groups; but they are not reporting the most drinking or binge drinking• Rx pain killer use is most prevalent among 18-20

year olds and 31 to 40 year olds.• Current binge drinkers are almost twice as likely to

report using Rx pain killers.

2013 NMCS SUMMARY OF RESULTS

• In the past year, males were almost twice as likely as females to report having suicidal thoughts

• 18 to 20 year olds were far less likely to have received professional help for a mental health or substance abuse problem despite reporting some of the highest reported prevalences of past 30-day & past year mental health problems and suicidal ideation

• 31-40 year olds also experience a higher prevalence of mental health problems than other ages but they also are most likely to receive treatment.

• Binge drinkers are far more likely to report having had a mental health/drug/alcohol problem in the past year but only equally likely to get professional help for it

• Over 72% of respondents thought it was very easy or somewhat easy for teens to get alcohol in their communities

STRATEGIES FOR SUCCESSPRELIMINARY ANALYSES

DEMOGRAPHICS

Demographic% SFS Program

Participants Male (n=344)

% SFS Program Participants Female

(n=346)

Grade    

5th grade 0.58 1.456th grade 47.97 49.717th grade 33.14 35.268th grade 18.31 13.58

Race/Ethnicity    White 12.79 10.69Hispanic 65.12 64.74Native American 18.31 21.97Other 3.78 2.60

Language Other than English Spoken Most Oftenb,c    

Yes 51.16 55.49

TOTAL MATCHED PAIRS

•Total Matched Pairs: N= 625

PREVALENCE OF ATOD USE AMONG FEMALES AT PRE- AND POST-TEST

Ciga-rettes

Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant ever use

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

2.0

1.0

5.6

2.3

3.6 3.63.3

0.7

6.5

3.6

4.34.6

Female Pretest Female Posttest

Perc

en

t

PREVALENCE OF ATOD USE AMONG MALES AT PRE- AND POST-TEST

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant ever use

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

9.0

3.5

0.6

8.2

2.5

4.53.8

2.51.9

8.5

2.5

5.75.1

Male Pretest Male Posttest

Perc

en

t

CHANGE IN THE PREVALENCE OF FEMALE RESPONDENTS WHO REPORTED ATOD USE PRE-TEST COMPARED TO

POST-TEST (N= 32)

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant Ever Use

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

Percentage at pre-test Percentage at post-test

Perc

en

t

16.6% Decrease

52.9% Decrease

42.9% Decrease

45.5% Decrease18.2% Decrease

100.0% Decrease

CHANGE IN THE PREVALENCE OF MALE RESPONDENTS WHO REPORTED ATOD USE PRE-TEST COMPARED TO

POST-TEST (N=46)

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant Ever Use

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Percentage at pre-test Percentage at post-test

Perc

en

t

44.2% Decrease

104.4% Increase

35.6% Decrease

34.7% Decrease

21.6% Decrease

3.5% Decrease

CHANGE IN THE PREVALENCE OF HISPANIC FEMALE RESPONDENTS WHO REPORTED ATOD USE PRE-TEST

COMPARED TO POST-TEST

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant Ever Use

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Percentage at pre-test Percentage at post-test

Perc

en

t

92.7% Increase

28.7% Decrease

12.8% Decrease

22.3% Increase

22.0% Decrease

CHANGE IN THE PREVALENCE OF HISPANIC MALE RESPONDENTS WHO REPORTED ATOD

USE PRE-TEST COMPARED TO POST-TEST

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant Ever Use

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

Percentage at pre-test Percentage at post-test

Perc

en

t

19.7% Increase

27.5% Decrease

23.2% Decrease

18.4% Decrease

16.4% Decrease

30.7% Decrease

CHANGE IN THE PREVALENCE OF NATIVE AMERICAN FEMALE RESPONDENTS WHO REPORTED ATOD USE

PRE-TEST COMPARED TO POST-TEST

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant Ever Use

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%

50.0%

Percentage at pre-test Percentage at post-test

Perc

en

t

16.2% Decrease 30.2% Decrease

62.8% Decrease

10.6% decrease

58.1% Decrease

CHANGE IN THE PREVALENCE OF NATIVE AMERICAN MALE RESPONDENTS WHO REPORTED ATOD USE PRE-TEST

COMPARED TO POST-TEST

Cigarettes Chewing Tobacco

Alcohol Binge Drinking

Marijuana Inhalant Ever Use

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%Percentage at pre-test Percentage at post-test

Perc

en

t

52.8% Decrease

64.6% Decrease

36.2% Decrease

57.5% Decrease

13.7% Decrease

32.4% Decrease

PERCENT OF ALL RESPONDENTS WHO REPORTED ANY Rx DRUG MISUSE PRE- AND POST-TEST

Pre Post Pre PostMale Female

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

1.3%

5.7%

4.9% 4.9%

Perc

en

t

PERCENT WHO PERCEIVED MODERATE OR GREAT RISK OF HARM

0.0%

20.0%

40.0%

60.0%

80.0%Baseline Posttest

Percen

t

PERCENT WHO PERCEIVED ATTITUDES TOWARDS ALCOHOL AS

WRONG OR VERY WRONG

How wrong parents feel for you to drink alcohol

How wrong you feel for someone your age to drink

alcohol

0.0%10.0%20.0%30.0%40.0%50.0%60.0%70.0%80.0%90.0%

100.0% 96.5% 94.7%95.3% 93.7%

Baseline Posttest

Perc

en

t

SUMMARY OF SFS FINDINGS

• Alcohol remains the substance used most widely for both males and females.

• ATOD use increased only slightly, if at all, and is likely attributable to maturation

• Among those youth already using any substance at pre-test, there were dramatic decreases in prevalence at post-test for almost everyone with some notable exceptions.

• Hispanic females -cigarettes and marijuana • Hispanic males – cigarettes• Prevalence at post-test among Native American

males and females who reported using any substance at pre-test decreased across the board.

SUMMARY OF SFS FINDINGS

• Males increased their prescription drug use from pre- to post-test however, females started higher than males and did not change.• Perceived risk of harm increased modestly but is

still lower than ideal.• Perceived attitudes did not change but were

already quite high.

THOUGHTS, QUESTIONS, CONCERNS

Martha Wallermwaller@pire.org919-265-2631

Liz Lilliott Lilliott@pire.org 505-765-2330

Lei Zhang

lzhang@pire.org919-265-2624