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. 2022 Jun 27;28:101870. doi: 10.1016/j.pmedr.2022.101870

Table 2.

Demographic characteristics, mental health conditions and risks.

Variable N (Total N = 567) %
Gender
 Female 345 60.8
 Male 220 38.8
 Transgender or gender non-conforming 2 0.4
Age
 18 – 34 206 36.3
 35 – 54 257 45.3
 55+ 104 18.3
Employment Status
 Employedb 136 24.0
 Unemployed 120 21.2
 Unable work due to health reasons 231 40.7
 Otherc 80 14.1
Marital Status
 Never married 285 50.3
 Married or living together in a relationship 136 24.0
 Otherd 146 25.7
Education Level
 Some high school or lesse 210 37.0
 Completed high school certificate 92 16.2
 Technical and further education (TAFE) certificate or diploma 212 37.4
 Diploma, University degree or higher 53 9.3
Aboriginal or Torres Strait Islander 77a 13.6
Mental Health Conditionfg
 Depression 343 60.5
 Anxiety 302 53.3
 Schizophrenia or other psychotic disorder 150 26.5
 Bipolar disorder 119 21.0
 Post-traumatic stress disorder 87 15.3
 Personality disorder 83 14.6
 Substance use disorder 36 6.3
 Eating disorder 29 5.1
 Obsessive-compulsive disorder 9 1.6
 Otherh 17 3.0
Behavioural Risk Variables i, j
 Tobacco smoking 303 53.5
 Harmful chronic alcohol consumption 114 20.1
 Harmful acute alcohol consumption 246 43.5
 Inadequate fruit and vegetable intakek 355 66.0
 Inadequate moderate to vigorous physical activity 428 75.5
 Inadequate strength activity 464 81.8
BMIi
 Underweight (<18.5) 23 4.6
 Healthy weight (18.5 – 24.9) 137 27.5
 High BMIl (25.0 + ) 339 67.9
a

n = 1 Torres Strait Islander.

b

includes full time, part time, casual, on maternity leave.

c

includes home duties, student, retired, other.

d

includes separated, divorced, widowed.

e

includes never attended school, some primary school, completed primary school, some high school, school certificate.

f

participants could report one or more mental health conditions.

g

N = 18 report did not report a mental health condition.

h

other conditions reported included ADHD, Autism and Epilepsy.

i

there was some variability in total n sizes for each variable (n BMI = 499; n fruit and vegetable intake = 538; n smoking = 566; n both alcohol = 566; and n both activity = 567) due to missing data.

j

the proportion of participants at risk due to ‘‘don’t know’ responses, ranged from 0% (smoking) to 4.3% (chronic alcohol consumption).

k

88.5% (n = 476) were at risk for vegetable intake, and 66.5% (n = 358) were at risk for fruit intake. N = 29 not asked as had an eating disorder.

l

24.6% (n = 123) were overweight (25.0 – 29.9), and 43.3% (n = 216) were obese (30.0 + ).