Skip to main content

Table 3 Associations of socio-demographic, health status, and lifestyle characteristics with number of habit-forming risk behaviorsa (N = 32,622, reference = 1 risk behavior; NutriNet-Santé cohort; 2021–2022; France)

From: Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study

 

No risk behavior

n = 27,036

≥ 2 risk behaviors

n = 884

Overall

p-valueb

 

ORb

(95% CI)b

p-valueb

ORb

(95% CI)b

p-valueb

Sex

      

0.125

 Female

1

  

1

   

 Male

0.92

(0.85–1.00)

0.06

0.89

(0.73–1.07)

0.21

 

Age category

      

< 0.001

 18–39 years

0.20

(0.18–0.22)

< 0.001

2.04

(1.62–2.56)

< 0.001

 

 40–59 years

0.46

(0.42–0.50)

< 0.001

1.32

(1.09–1.60)

0.004

 

 ≥ 60 years

1

  

1

   

Educational level

      

< 0.001

 Less than high school

1

  

1

   

 High school diploma or equivalent

0.90

(0.78–1.04)

0.15

0.99

(0.73–1.34)

0.94

 

 Some college, undergraduate, graduate degree

0.77

(0.68–0.86)

< 0.001

0.99

(0.76–1.28)

0.91

 

Type of professional activity

      

< 0.001

 Mostly sedentary, retired, otherc

0.83

(0.75–0.91)

< 0.001

1.10

(0.88–1.37)

0.39

 

 Mostly active

1

  

1

   

Prior divorce

      

0.148

 No

1

  

1

   

 Yes

0.93

(0.86–1.01)

0.10

0.87

(0.72–1.05)

0.14

 

Current household financial situation

      

< 0.001

 Comfortable, good

1

  

1

   

 Barely making it, in debt

0.85

(0.78 − 0.94)

< 0.001

1.29

(1.08–1.54)

0.005

 

Self-perceived health status

      

< 0.001

 Very good, good

1

  

1

   

 Acceptable

0.76

(0.70–0.82)

< 0.001

1.30

(1.09–1.55)

0.003

 

 Poor or very poor

0.53

(0.46–0.61)

< 0.001

1.70

(1.32–2.20)

< 0.001

 

Self-perceived dietary quality

      

< 0.001

 Excellent, very good

1

  

1

   

 Good, acceptable

0.63

(0.58–0.68)

< 0.001

1.39

(1.14–1.69)

< 0.001

 

 Poor

0.20

(0.16–0.26)

< 0.001

2.88

(2.06–4.02)

< 0.001

 

BMI (kg/m2) category

      

< 0.001

 Underweight (< 18.5)

0.95

(0.81–1.12)

0.55

1.46

(1.05–2.04)

0.03

 

 Normal weight (18.5–24.9)

1

  

1

   

 Overweight (25.0–29.9)

0.76

(0.70–0.83)

< 0.001

1.18

(0.98–1.43)

0.08

 

 Obesity (≥ 30.0)

0.54

(0.48–0.60)

< 0.001

1.62

(1.31–1.99)

< 0.001

 

Tobacco smoking status

      

< 0.001

 Never smoker

1

  

1

   

 Former smoker

0.74

(0.68–0.80)

< 0.001

0.96

(0.80–1.16)

0.69

 

 Current smoker

0.33

(0.29–0.36)

< 0.001

1.97

(1.62–2.39)

< 0.001

 

Current e-cigarette use

      

< 0.001

 No

1

  

1

   

 Yes

0.71

(0.59–0.85)

< 0.001

1.09

(0.82–1.44)

0.56

 

Alcohol use, # glasses/weekd

      

< 0.001

 0

1

  

1

   

 < 2

1.07

(0.96–1.20)

0.19

1.05

(0.80–1.37)

0.74

 

 2–6

0.63

(0.56–0.70)

< 0.001

1.86

(1.43–2.43)

< 0.001

 

 ≥ 7

0.05

(0.04–0.06)

< 0.001

2.82

(2.10–3.80)

< 0.001

 

Lack of affection during childhood

      

< 0.001

 No

1

  

1

   

 Yes

0.58

(0.53–0.63)

< 0.001

1.41

(1.18–1.69)

< 0.001

 

Self-reported lifetime prevalence or medication use for a mental health conditione

       

 No

1

  

1

  

< 0.001

 Yes

0.63

(0.58–0.67)

< 0.001

1.46

(1.24–1.73)

< 0.001

 
  1. BMI: Body Mass Index; CI: Confidence Interval; OR: Odds Ratio
  2. a Habit-forming risk behaviors include alcohol use disorders, nicotine dependence, food addiction, and Internet addiction, which were assessed by the Alcohol Use Disorders Identification Test (≥ 8 points), the 12-item Cigarette Dependence Scale (≥ 43 points), the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test (≥ 50 points), respectively
  3. b Values are obtained from a polytomous logistic regression model (reference = 1 risk behavior; n = 4,702). Variables are mutually adjusted
  4. c Other = Without professional activity (homemaker, sick leave, unemployment, parental leave, disability) or not specified
  5. d 1 glass = 10 g of ethanol
  6. e Mental health conditions include memory impairment, Alzheimer’s disease, anorexia nervosa, anxiety disorders, bipolar disorder, depression, and insomnia