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Parents, Peers, Perceived Risk of Harm, and the Neighborhood: Contextualizing Key Influences on Adolescent Substance Use

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Abstract

Recent research has affirmed the need to examine contextual influences on adolescent substance use in a multilevel framework. This study examined the role of neighborhood opportunities for substance use in promoting adolescent substance use. Data came from two components of the Project on Human Development in Chicago Neighborhoods: the Longitudinal Cohort Study, consisting of interviews with youth and their primary caregivers across three waves of data with an average span of 4.5 years; and a Community Survey of neighborhood residents. Analysis used an Item-Response Theory-based statistical approach on 6556 substance use item responses from 1639 youth (49.0 % female) within 80 neighborhoods to assess the extent to which neighborhood opportunities for substance use had direct and indirect effects on adolescent substance use. Neither direct nor mediated effects of neighborhood opportunities for substance use on adolescent substance use were detected. But, analyses revealed moderating effects such that higher levels of neighborhood opportunities for substance use: (1) amplified the detrimental effects of parental substance use and peer substance use on youth substance use; and (2) attenuated the protective effect of adolescents’ perceived harm of substance use on adolescent substance use. The results suggest that the ways in which neighborhood characteristics impact adolescent behavior are nuanced. Rather than impact individual-level outcomes directly, neighborhood context may be particularly relevant by conditioning the effects of salient individual-level risk and protective factors for substance use.

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Acknowledgments

This research uses data from the Project on Human Development in Chicago Neighborhoods, obtained from the Inter-University Consortium for Political and Social Research.

Author contributions

GMZ conceived of the study, participated in its design, conducted all statistical analyses, constructed the methods and results sections, and edited the introduction and discussion sections. CF participated in the design of the manuscript, drafted the introduction and discussion sections, and edited the methods and results sections. All authors read and approved the final manuscript.

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Correspondence to Gregory M. Zimmerman.

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Conflicts of interest

The authors report no conflict of interests.

Ethical approval

The use of PHDCN data for this study was approved by the Institutional Review Board at Northeastern University.

Informed consent

No data identifiable to a person were collected by the researchers. Gregory M. Zimmerman is an Associate Professor of Criminology and Criminal Justice at Northeastern University. He received his doctorate in Criminal Justice from the University at Albany, SUNY. His research focuses on the interrelationships among individual and contextual causes of criminal offending. Chelsea Farrell is a Doctoral student in the School of Criminology and Criminal Justice at Northeastern University. Her research focuses on neighborhood effects, victimization, and gendered relationships in the etiology of offending.

Appendices

Appendix 1

Variable descriptions and summary statistics

Outcome measure (Wave 3)

Substance use

 In the past 12 months, have you…

  … had a drink of beer, wine, wine coolers, or liquor? (n = 505; 30.8 %)

  … smoked cigarettes? (n = 321; 19.6 %)

  … used marijuana? (n = 261; 15.9 %)

  … used cocaine, crack, inhalants, psychedelics, heroin, amphetamines, barbiturates, or tranquilizers? (n = 38; 2.3 %)

Note The items were taken from the Substance Use questionnaire at wave 3 of the study. The dichotomous items, which conformed to a unidimensional scale (α = .67), were incorporated into a scale of substance use, a latent variable representing each person’s propensity for substance use, in the first level of a multilevel item response model

Focal independent variables

Neighborhood opportunities for substance use (1994–1995 CS)

 How much of a problem is…

  …drinking in public [in your neighborhood]?

  … people selling or using drugs [in your neighborhood]?

  Mean = 3.7

SD = 0.9

Range 2.1–5.4

r = .90

Note: Responses ranged from 1 (“Not a problem”) to 3 (“A big problem”). The measure is the sum of the highly correlated items. Higher values on the scale represent higher levels of substance use in the neighborhood. The standardized scale ranges from −1.87 to 1.99

Parental substance use (Wave 1) (n = 243; 14.8 %)

Note: Youths’ primary caregivers were asked two filter questions in the wave 1 Family Mental Health and Legal History protocol: (1) Has drinking ever caused any of the people in your family to have problems with health, family, job, or police? (2) Has drug use ever caused any of the people in your family to have problems with health, family, job, or police? The measure of parental substance use was coded in the affirmative if the primary caregiver answered yes to at least one of these questions and indicated that the family member was the youth’s mother and/or father

Peer substance use (Wave 2)

 In the previous 12 months, have any of your friends…

  … had a drink of beer, wine, wine coolers, or liquor?

  … smoked cigarettes?

  … used marijuana?

   Mean = 4.2

SD = 1.8

Range 3–12

Reliability = .80

Note In the wave 2 deviance of peers questionnaire, respondents reported their friends’ substance-using behaviors on a scale from 1 (“None of them”) to 4 (“All of them”). Higher values represent higher levels of peer substance use. The standardized scale ranges from −.65 to 4.24

Perceived harm of substance use (Wave 2)

 Do you think a person would hurt themselves if they…

  … smoked one or more pack of cigarettes a day?

  … smoked marijuana regularly?

  … smoked marijuana now and then?

  … tried marijuana once or twice?

  … used inhalants regularly?

  … tried inhalants once or twice?

  … used heroin regularly?

  … tried heroin once or twice?

  … used cocaine regularly?

  … used cocaine now and then?

  … tried cocaine once or twice?

  … had one or two drinks of alcohol (i.e., beer, wine, or liquor) nearly every day?

  … had four or five drinks of alcohol nearly every day?

  … had five or more drinks of alcohol twice a week?

   Mean = 42.7

SD = 6.9

Range 14–56

Reliability = .88

Note In the wave 2 Perceptions of Drug Risk instrument, respondents reported their perceptions of the harm of substance use on a scale from 1 (“Definitely no”) to 4 (“Definitely yes”). Higher values represent higher levels of perceived harm of substance use. The standardized scale ranges from −4.27 to 1.89

Control variables—demographic characteristics (Wave 1)

Male (n = 836; 51.0 %)

Age (Mean = 10.6; SD 1.5; Range 7.8–13.2)

Race/ethnicity

 Hispanic (n = 755; 46.1 %)

 Black (n = 587; 35.8 %)

 White (reference) (n = 227; 13.9 %)

 Other (n = 70; 4.2 %)

Immigrant generational status

First (n = 195; 11.9 %)

 Second (n = 532; 32.5 %)

 Third or higher (reference) (n = 912; 55.6 %)

Note These variables were taken from the wave 1 Master File, except for Immigrant Generational Status, which was constructed primarily from information in the wave 1 Demographic File

Control variables—family background factors (Wave 1)

Years at residence (Mean = 6.0; SD 6.7; Range .1–59)

Household socioeconomic status (SES) (Mean = –.1; SD 1.4; Range –3.6–3.7)

Note Household SES was constructed as the first principal component of (1) the maximum of the PC’s total annual personal income and the subject’s total annual household income; (2) the maximum of the PC’s education level and the PC’s partner’s education level; and (3) the maximum of the PC’s occupational status and the PC’s partner’s occupational status

Number of siblings (Mean = 2.3; SD 1.7; Range 0–10)

Family size (Mean = 5.4; SD 2.0; Range 2–14)

Primary caregiver employed (n = 967; 59.0 %)

Family structure

 Two parents, both biological (reference) (n = 780; 47.6 %)

 Two parents, one or both non-biological (n = 340; 20.7 %)

 One parent, biological (n = 462; 28.2 %)

 One parent, non-biological (n = 58; 3.5 %)

Note The family-level variables were taken from the wave 1 Master File.

Control variables—behavioral and cognitive factors

Low self-control (Wave 1)

 Lack of inhibitory control

  Has trouble controlling impulses

  Usually cannot stand waiting

  Can tolerate frustration better than most (reverse-coded)

  Has trouble resisting temptation

  Finds self-control easy to learn (reverse-coded)

 Present-orientation

  Often says the first thing that comes into head

  Likes to plan things way ahead of time (reverse-coded)

  Often acts on the spur of the moment

  Always likes to make detailed plans before doing something (reverse-coded)

  Often has trouble making up mind (reverse-coded)

 Sensation seeking

  Feels happiest in familiar surroundings (reverse-coded)

  Generally seeks new and exciting experiences and sensations

  Will try anything once

  Sometimes does “crazy” things just to be different

  Tends to get bored easily

 Lack of Persistence

  Generally likes to see things through to the end (reverse-coded)

  Tends to give up easily

  Unfinished tasks really bother (reverse-coded)

  Once gets going on something hates to stop (reverse-coded)

  Tends to hop from one interest to another

   Mean = 2.7

SD = .6

Range 1.0–4.6

Reliability = .75

Note These items were in the emotionality, activity, sociability, and impulsivity temperament survey, administered to respondents’ primary caregivers during the wave 1 interview. Item responses ranged from 1 (“Uncharacteristic”) to 5 (“Characteristic”). The measure is the average of the items

Prior substance use (Wave 2)

 Have you ever…

  … had a drink of beer, wine, wine coolers, or liquor?

  … smoked cigarettes?

  … used marijuana?

  … used cocaine, crack, inhalants, psychedelics, heroin, methamphetamine, amphetamine, barbiturates, or tranquilizers?

   Mean = .4

SD = .8

Range 0–4

Reliability = .65

Note These items were asked during the Substance Use questionnaire at wave 2 of the study. The measure is the count of the items

Control variables—additional person-level covariates

Age 17 at wave 3 (n = 175; 10.7 %)

Moved between study waves (n = 617; 37.6 %)

Unit-level missing data due to attrition across study waves (n = 474; 28.9 %)

Item-level missing due to non-response (n = 227; 13.8 %)

Control variables—1990 census neighborhood variables

Concentrated disadvantage

 Percentage of families below the poverty line

 Percentage of households receiving public assistance

 Percentage of female-headed families with children

 Percentage of population unemployed

 Median household income in 1989

   Mean = 0.0

SD = 1.0

Range –1.7 to 2.2

 

Note The variables were combined using a weighted factor regression score (all loadings ≥ 0.83 using principal components analysis with oblique rotation) such that high levels reflect high levels of disadvantage

Ethnic heterogeneity (Mean = 0.0; SD 1.0; Range –3.1 to 1.9)

Note The standardized scale was constructed using Blau’s equation: 1 − ∑p 2 i , where p i is the proportion of the population in each racial/ethnic group (White, Black, Native American, Asian, Hispanic, Other). The resulting variable takes into account both the relative sizes of the groups and the number of groups in the population. Higher values reflect greater levels of heterogeneity

Residential stability

 Percentage of residents living in the same house as 5 years earlier

 Percentage of owner-occupied homes

   Mean = 0.0

SD = 1.0

Range –1.7 to 2.2

 

Note The items were summed and then standardized. The items were highly correlated across neighborhood clusters (r = .89, p < .001). Higher levels on the scale represent higher levels of residential stability in the neighborhood

Control variables—1994/1995 community survey neighborhood variables

Tolerance of substance use

 How wrong is it for teenagers around 13 years of age to…

  … smoke cigarettes?

  … use marijuana?

  … drink alcohol?

 How wrong is it for teenagers around 19 years of age to…

  … use marijuana?

  … drink alcohol?

   Mean = 0.0

SD = 1.0

Range –2.0 to 2.8

Reliability = .89

Note Responses ranged from 1 (“Extremely wrong”) to 5 (“Not wrong at all”). The measure is the standardized sum of the items. Higher values on the scale represent higher levels of tolerance of substance use in the neighborhood

Collective efficacy

 Shared expectations for social control

  How likely is it that people in your neighborhood would…

  … do something about kids skipping school?

  … do something about kids defacing a building?

  … scold a child for not showing respect?

  … break up a fight in front of their house?

  … organize to keep a local fire station?

 Social cohesion/trust

  This is a close-knit neighborhood

  People are willing to help their neighbors

  People in the neighborhood can be trusted

  People don’t get along (reverse-coded)

  People in the neighborhood do not share the same values (reverse-coded)

   Mean = 0.0

SD = 1.0

Range –1.9 to 2.5

 

Note Responses on the shared expectations for social control scale ranged from 1 (“Very unlikely”) to 5 (“Very likely”). Responses on the social cohesion/trust scale ranged from 1 (“Strongly disagree”) to 5 (“Strongly agree”). Cronbach’s alpha for the shared expectations for social control scale was .78. Cronbach’s alpha for the social cohesion/trust scale was .78. The scales were strongly related across neighborhood clusters (r = 0.80) and constructed following accepted procedures (see Sampson et al. 1997) as follows: first, “don’t know” responses were recoded into the middle category of “neither agree nor disagree” or “neither likely nor unlikely.” Then, for respondents answering all ten questions, their responses were averaged. For respondents who answered at least one but not all of the questions, a linear item-response model was used to account for the number and difficulty of the answered items. The ecometric or aggregate-level reliability (see Raudenbush and Sampson 1999) of the collective efficacy scale was 0.85

Appendix 2

Sensitivity analysis regressing the disaggregated outcomes on cross-level interactions between neighborhood opportunities for substance use and parental substance use, peer substance use, and the perceived harm of substance use

 

Model 1

Model 2

Model 3

Model 4

Model 5

Independent variables

Alcohol, tobacco, and marijuana

Alcohol

Tobacco

Marijuana

Illicit drug use

Parental substance use

1.36*

1.29

1.46*

1.27

1.00

 ×Neighborhood opportunities for substance use

1.23

1.14

1.41*

1.18

1.41

Peer substance use

1.47***

1.60**

1.46***

1.40***

1.42*

 ×Neighborhood opportunities for substance use

1.12**

1.14*

1.12

1.08

1.00

Perceived harm of substance use

.74*

.85*

.68**

.67***

.77**

 ×Neighborhood opportunities for substance use

1.07

1.03

1.10

1.14

1.14

  1. The models control for all item-, individual-, and neighborhood-level variables as in Table 
  2. Model 1 is a multilevel Rasch model (N = 4,917 item responses, 1,639 persons, 80 neighborhoods). Models 2–5 are hierarchical logistic regression models (N = 1639 persons, 80 neighborhoods)
  3. p < .10; * p < .05; ** p < .01; *** p < .001. p values were determined by two-tailed test

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Zimmerman, G.M., Farrell, C. Parents, Peers, Perceived Risk of Harm, and the Neighborhood: Contextualizing Key Influences on Adolescent Substance Use. J Youth Adolescence 46, 228–247 (2017). https://doi.org/10.1007/s10964-016-0475-5

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