Based on the tables can you write or describe a summary for each? Thank you. Descriptive statistics of Sample Characteristics, Drug Use and Mental Health Bivariable Analyses Multivariable Analyses In this study we assess lifetime and recent drug use patterns among 261 heterosexually identified 18- to 25-year-olds through brief street intercept surveys conducted in New York City. Marijuana, hallucinogens, powder cocaine, and ecstasy were the most frequently reported drugs for both lifetime and recent use. Findings further suggest significant differences in lifetime use along the lines of gender, race=ethnicity, and school enrollment for various drugs. Males reported using significantly greater numbers of different drugs compared to females, as did those not enrolled in school compared to school enrollees. These data suggest that illicit drug use in emergent adulthood does not develop in a monolithic manner and synergies must be considered in relation to gender, school enrollment, and employment that first surface in the child and adolescent developmental stages. In addition, primary prevention efforts targeting child and adolescent drug use may mitigate the emerging adult and lifetime substance use

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
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Based on the tables can you write or describe a summary for each? Thank you.

  • Descriptive statistics of Sample Characteristics, Drug Use and Mental Health
  • Bivariable Analyses
  • Multivariable Analyses

In this study we assess lifetime and recent drug use patterns among 261 heterosexually identified 18- to 25-year-olds through brief street intercept surveys conducted in New York City. Marijuana, hallucinogens, powder cocaine, and ecstasy were the most frequently reported drugs for both lifetime and recent use. Findings further suggest significant differences in lifetime use along the lines of gender, race=ethnicity, and school enrollment for various drugs. Males reported using significantly greater numbers of different drugs compared to females, as did those not enrolled in school compared to school enrollees. These data suggest that illicit drug use in emergent adulthood does not develop in a monolithic manner and synergies must be considered in relation to gender, school enrollment, and employment that first surface in the child and adolescent developmental stages. In addition, primary prevention efforts targeting child and adolescent drug use may mitigate the emerging adult and lifetime substance use

TABLE 2 Lifetime and Recent Illicit Drug Use
Lifetime use
Drug mean (SD)
Marijuana
Hallucinogens
Powder Cocaine
Ecstasy
Acid/LSD
Ketamine
Methamphetamine
Crack Cocaine
GHB
Heroin
N
161
48
47
47
20
11
9
6
5
4
%
61.7
18.4
18.0
18.0
7.7
4.2
3.4
2.3
1.9
1.5
N
61
6
15
5
1
3
2
2
1
0
Recent use (past 30 days)
%
23.3
2.3
5.8
1.9
<1.0
1.2
<1.0
<1.0
<1.0
0
Ģ
# of days used
9.92 (10.77)
1.67 (1.21)
2.13 (2.39)
1.40 (0.55)
2.00 (N/A)
1.67 (1.16)
4.50 (3.54)
11.00 (11.31)
1.0
(N/A)
N/A
Transcribed Image Text:TABLE 2 Lifetime and Recent Illicit Drug Use Lifetime use Drug mean (SD) Marijuana Hallucinogens Powder Cocaine Ecstasy Acid/LSD Ketamine Methamphetamine Crack Cocaine GHB Heroin N 161 48 47 47 20 11 9 6 5 4 % 61.7 18.4 18.0 18.0 7.7 4.2 3.4 2.3 1.9 1.5 N 61 6 15 5 1 3 2 2 1 0 Recent use (past 30 days) % 23.3 2.3 5.8 1.9 <1.0 1.2 <1.0 <1.0 <1.0 0 Ģ # of days used 9.92 (10.77) 1.67 (1.21) 2.13 (2.39) 1.40 (0.55) 2.00 (N/A) 1.67 (1.16) 4.50 (3.54) 11.00 (11.31) 1.0 (N/A) N/A
TABLE 3 Lifetime Illicit Drug Use in Relation to Gender
Male
(N=104) (%)
Marijuana
Hallucinogens
Power Cocaine
Ecstasy
Acid/LSD**
Ketamine***
Methamphetamine*
Crack Cocaine
GHB
Heroin*
*p<.05; **p<.01; ***p<.001.
65.7
22.5
23.5
23.5
13.7
9.8
6.9
3.9
3.9
3.9
Female
(N=157) (%)
59.9
15.9
14.6
14.6
3.8
<1
1.3
1.3
<1
0
Transcribed Image Text:TABLE 3 Lifetime Illicit Drug Use in Relation to Gender Male (N=104) (%) Marijuana Hallucinogens Power Cocaine Ecstasy Acid/LSD** Ketamine*** Methamphetamine* Crack Cocaine GHB Heroin* *p<.05; **p<.01; ***p<.001. 65.7 22.5 23.5 23.5 13.7 9.8 6.9 3.9 3.9 3.9 Female (N=157) (%) 59.9 15.9 14.6 14.6 3.8 <1 1.3 1.3 <1 0
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