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Table 1 Descriptive statistics: Mental health indicators, substance use, and sociodemographic characteristics

From: Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: a latent class analysis

  Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 All waves
Variables n % n % n % n % n % n % n %
Mental health indicators
  Moderate/severe anxiety 256 25.5% 215 21.5% 196 19.5% 193 19.2% 212 21.1% 244 24.3% 1319 21.9%
  Felt depressed 205 20.4% 212 21.2% 185 18.4% 188 18.7% 213 21.2% 218 21.7% 1222 20.3%
  Felt lonely 233 23.2% 237 23.7% 211 21.0% 231 23.0% 202 20.1% 234 23.3% 1349 22.4%
Alcohol and cannabis use
  Cannabis use past week 115 11.5% 130 13.0% 124 12.4% 131 13.1% 119 11.9% 160 16.0% 781 13.0%
  Heavy Episodic Drinking 238 23.7% 247 24.7% 267 26.6% 271 27.2% 255 25.5% 257 25.7% 1537 25.6%
  Increase in cannabis use 64 6.4% 70 7.0% 59 5.9% 62 6.2% 53 5.3% 93 9.3% 401 6.7%
  Increase in alcohol use 253 25.2% 244 24.4% 216 21.5% 209 20.8% 168 16.7% 208 20.7% 1295 21.5%
Covariates
  Men 504 50.1% 492 49.1% 501 49.9% 502 50.0% 497 49.6% 492 49.1% 2986 49.6%
  Women 498 49.6% 497 49.6% 499 49.7% 492 49.1% 498 49.7% 503 50.1% 2986 49.6%
  Living with others 797 79.5% 788 78.9% 787 78.7% 799 79.9% 797 79.6% 796 79.8% 4763 79.4%
  Living alone 205 20.5% 211 21.1% 213 21.3% 201 20.1% 204 20.4% 201 20.2% 1236 20.6%
  Presence of children 229 22.8% 236 23.6% 237 23.6% 242 24.1% 234 23.3% 216 21.5% 1397 23.2%
  No children 776 77.2% 766 76.4% 768 76.4% 761 75.9% 769 76.7% 787 78.5% 4624 76.8%
  Household income less than $40K 128 12.7% 121 12.1% 136 13.5% 118 11.8% 116 11.6% 110 11.0% 729 12.1%
  Household income in $40,000-$79,999 268 26.7% 236 23.6% 238 23.7% 235 23.4% 247 24.6% 236 23.5% 1457 24.2%
  Household income in $80,000-$119,999 226 22.5% 229 22.9% 220 21.9% 213 21.2% 237 23.6% 241 24.0% 1367 22.7%
  Household income $120,000+ 217 21.6% 259 25.8% 247 24.6% 252 25.1% 228 22.7% 251 25.0% 1451 24.1%
  Household income missing 166 16.5% 157 15.7% 164 16.3% 185 18.4% 175 17.4% 165 16.5% 1012 16.8%
  College 190 18.9% 211 21.1% 189 18.8% 204 20.3% 183 18.2% 221 22.0% 1198 19.9%
  High school 111 11.0% 104 10.4% 129 12.8% 122 12.2% 119 11.9% 99 9.9% 686 11.4%
  Post-secondary 159 15.8% 165 16.5% 148 14.7% 162 16.2% 147 14.7% 150 15.0% 933 15.5%
  University 538 53.5% 516 51.5% 531 52.8% 502 50.0% 548 54.6% 521 51.9% 3155 52.4%
  Non-White 287 28.6% 271 27.1% 294 29.3% 280 27.9% 278 27.7% 288 28.7% 1698 28.2%
  White 698 69.5% 702 70.1% 691 68.8% 697 69.5% 699 69.7% 691 68.9% 4179 69.4%
  Urban 465 46.3% 459 45.8% 485 48.3% 467 46.6% 463 46.2% 474 47.3% 2812 46.7%
  Suburban 382 38.0% 379 37.8% 369 36.7% 365 36.4% 376 37.5% 365 36.4% 2234 37.1%
  Rural 158 15.7% 164 16.4% 151 15.0% 171 17.0% 164 16.4% 164 16.4% 969 16.1%
  Separated 128 12.7% 132 13.2% 119 11.8% 122 12.2% 113 11.3% 118 11.8% 735 12.2%
  Married 613 61.0% 605 60.4% 622 61.9% 634 63.2% 638 63.6% 653 65.1% 3763 62.5%
  Single 251 25.0% 251 25.0% 253 25.2% 233 23.2% 239 23.8% 216 21.5% 1445 24.0%
  Age 18–39 394 39.2% 389 38.8% 394 39.2% 388 38.7% 390 38.9% 392 39.1% 2348 39.0%
  Age 40–59 306 30.4% 312 31.1% 307 30.5% 309 30.8% 305 30.4% 305 30.4% 1842 30.6%
  Age 60+ 305 30.3% 301 30.0% 304 30.2% 306 30.5% 308 30.7% 306 30.5% 1830 30.4%
Total respondents 1005 100% 1002 100% 1005 100% 1003 100% 1003 100% 1003 100% 6021 100%