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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Addiction. 2014 Jan 12;109(4):635–644. doi: 10.1111/add.12407

Table 1.

A. Frequency and Percentage of DSM-III-R Disorders and Sociodemographic Variables
DSM-III-R Diagnostic Information Percent Frequency (n) Missing (n)
Conditions of Focus in Manuscript
  Problem/Pathological Gambling 7.83% 614 26
  Nicotine Dependence 47.81% 3762 0
  Cannabis Abuse/Dependence 7.20% 564 31
  Simulant Abuse/Dependence 4.58% 359 30
Internalizing Diagnoses
  General Anxiety Disorder 2.25% 177 18
  Panic Disorder 1.75% 137 18
  Major Depression Disorder 9.61% 755 16
  Posttraumatic Stress Disorder 10.05% 785 56
Externalizing Diagnoses
  Alcohol Dependence 35.89% 2817 20
  Antisocial Personality Disorder 2.89% 227 18
Sociodemographic Information Percent Frequency (n) Missing (n)

  Annual Household Income (≥ $30,000) 45.76% 3407 424
  White Race 93.40% 7349 1
  Other Race 6.60% 519 1
  Employed 95.77% 7296 251
  Less Than a High School Education 3.60% 274 268
  High School Education 31.55% 2398 268
  More Than a High School Education 64.85% 4929 268
B. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Drug Abuse/Dependence Adjusting for Sociodemographics, Internalizing and Externalizing Disorders
Variable Odds Ratio (95% CI)
Age 1.00 (0.97 – 1.04)
Annual Household Income 0.97 (0.80 – 1.16)
High School Education 0.95 (0.59 – 1.54)
College 0.83 (0.51 – 1.33)
White Race 1.83 (1.31 – 2.55)
Employed 0.72 (0.50 – 1.04)
Alcohol Dependence 1.89 (1.54 – 2.34)
Antisocial Personality Disorder 2.23 (1.47 – 3.37)
Generalized Anxiety Disorder 1.29 (0.78 – 2.14)
Panic Disorder 1.35 (0.77 – 2.37)
Major Depression Disorder 1.40 (1.05 – 1.87)
Posttraumatic Stress Disorder 1.10 (0.83 – 1.47)
Nicotine Dependence 1.30 (1.06 – 1.60)
Stimulant Abuse/Dependence 1.52 (1.06 – 2.18)
Cannabis Abuse/Dependence 1.35 (0.99 – 1.84)
B_ND1. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Nicotine Dependence without Adjustment
Variable Odds Ratio (95% CI)
Nicotine Dependence 2.08 (1.75 – 2.49)
B_ND2. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Nicotine Dependence, Adjusting for Sociodemographics
Variable Odds Ratio (95% CI)
Nicotine Dependence 1.88 (1.56 – 2.27)
Age 0.98 (0.94 – 1.01)
Annual Household Income 0.91 (0.76 – 1.09)
High School Education 0.89 (0.57 – 1.40)
College 0.80 (0.51 – 1.24)
White Race 1.91 (1.38 – 2.64)
Employed 0.61 (0.43 – 0.88)
B_ND3. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Nicotine Dependence, Adjusting for Sociodemographics and Internalizing Disorders
Variable Odds Ratio (95% CI)
Nicotine Dependence 1.68 (1.39 – 2.04)
Age 0.98 (0.95 – 1.01)
Annual Household Income 0.93 (0.78 – 1.12)
High School Education 0.92 (0.58 – 1.45)
College 0.79 (0.50 – 1.23)
White Race 1.89 (1.37 – 2.61)
Employed 0.67 (0.47 – 0.95)
Generalized Anxiety Disorder 1.49 (0.91 – 2.44)
Panic Disorder 1.54 (0.88 – 2.69)
Major Depression Disorder 1.70 (1.29 – 2.24)
Posttraumatic Stress Disorder 1.39 (1.06 – 1.81)
B_SAD1. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Stimulant Abuse/Dependence without Adjustment
Variable Odds Ratio (95% CI)
Stimulant Abuse/Dependence 3.42 (2.61 – 4.50)
B_SAD2. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Stimulant Abuse/Dependence, Adjusting for Sociodemographics
Variable Odds Ratio (95% CI)
Stimulant Abuse/Dependence 3.19 (2.36 – 4.32)
Age 0.98 (0.95 – 1.02)
Annual Household Income 0.91 (0.75 – 1.09)
High School Education 0.83 (0.53 – 1.32)
College 0.70 (0.45 – 1.11)
White Race 1.67 (1.20 – 2.31)
Employed 0.65 (0.45 – 0.93)
B_SAD3. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Stimulant Abuse/Dependence, Adjusting for Sociodemographics and Internalizing Disorders
Variable Odds Ratio (95% CI)
Stimulant Abuse/Dependence 2.47 (1.81 – 3.37)
Age 0.99 (0.95 – 1.02)
Annual Household Income 0.94 (0.78 – 1.23)
High School Education 0.86 (0.54 – 1.37)
College 0.71 (0.45 – 1.12)
White Race 1.70 (1.22 – 2.35)
Employed 0.68 (0.48 – 0.97)
Generalized Anxiety Disorder 1.49 (0.90 – 2.45)
Panic Disorder 1.51 (0.87 – 2.61)
Major Depression Disorder 1.65 (1.24 – 2.20)
Posttraumatic Stress Disorder 1.43 (1.09 – 1.88)
B_CAD1. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Cannabis Abuse/Dependence without Adjustment
Variable Odds Ratio (95% CI)
Cannabis Abuse/Dependence 2.82 (2.23 – 3.56)
B_CAD2. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Cannabis Abuse/Dependence, Adjusting for Sociodemographics
Variable Odds Ratio (95% CI)
Cannabis Abuse/Dependence 2.68 (2.07 – 3.49)
Age 0.99 (0.95 – 1.02)
Annual Household Income 0.93 (0.78 – 1.13)
High School Education 0.86 (0.54 – 1.37)
College 0.72 (0.46 – 1.15)
White Race 1.73 (1.25 – 2.39)
Employed 0.62 (0.43 – 0.88)
B_CAD3. Logistic Regression Model Examining the Relationships Between Problem/Pathological Gambling and Cannabis Abuse/Dependence, Adjusting for Sociodemographics and Internalizing Disorders
Variable Odds Ratio (95% CI)
Cannabis Abuse/Dependence 2.12 (1.62 – 2.78)
Age 0.99 (0.95 – 1.02)
Annual Household Income 0.95 (0.79 – 1.15)
High School Education 0.90 (0.56 – 1.44)
College 0.74 (0.46 – 1.17)
White Race 1.74 (1.25 – 2.40)
Employed 0.66 (0.47 – 0.94)
Generalized Anxiety Disorder 1.50 (0.92 – 2.43)
Panic Disorder 1.49 (0.85 – 2.62)
Major Depression Disorder 1.64 (1.24 – 2.18)
Posttraumatic Stress Disorder 1.41 (1.07 – 1.84)

Appendix: Abuse/Dependence refers to an individual who met the DSM-III-R criteria for abuse and/or dependence on (1) nicotine (dependence only) (2) cannabis (hashish,ganja, bhang); (3) stimulants (uppers, amphetamines, speed, ice, crack, cocaine); (Xian, et al., 2000).

Abbreviations: CI = confidence interval