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SUPPORTING INFORMATI ON Supplementary Table 1. Detail of each construct, its operationalisation, measures including response options and scoring.

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SUPPORTING INFORMATION

Supplementary Table 1. Detail of each construct, its operationalisation, measures including response options and scoring.

Variable Measure Reference No item/

dental examination

Response set Scoring/interpretation Cronbach’s

alpha POPULATION

CHARACTERISTICS Predisposing /social structures

Education - 1 ‘What is the highest level of school you have completed?’

Primary/middle school = 1, High school = 2, University = 3

Higher scores more pre-disposing

-

Annual household income

- 1 ‘≤300,000NOK’ =1, ‘>300,000-450,000NOK’ = 2, ‘>450,000- 900,000NOK’ = 3, ‘900,000+

NOK’ = 4.

Higher scores more pre-disposing

-

Urbanization - 1 ‘Rural/municipalities with widespread

settlement’ = 1, ‘Suburban/municipalities with smaller towns’ = 2, ‘Urban/municipalities with larger towns’ = 3.

Higher scores more pre-disposing

-

Predisposing /salutogenic resources

Sense of coherence

Antonovsky 1993 Eide 1991

13 An example of item: ’Do you have the feeling that you don’t really care about what goes on around you?’ 7 point Likert scale ranging from 1 to 7. The sum scores from 13–91.

Higher scores indicate stronger SOC = more pre- disposing

0.84

Enabling recourses Declined treatment due to costs

- 1 ‘Have you during the last two years refrained from dental services because you did not have enough money?’

‘Yes‘= 1 and ‘No’ = 2.

Higher scores more resources

-

Difficulty attending dental health care services

Marshman et al. 2012

1 ‘Is it difficult for you to get routine (e.g. check- up and fillings) dental health care?’

‘Yes/don’t know’’ = 1,’No’ = 2

Higher scores more resources

-

(2)

Dental anxiety (DAS)

Corah’s 1969, Kvale et al. 1997

4 5-point Likert scale yield sum scores from 4 to 20.

Scores reversed:

Higher scores indicate less dental anxiety = more resources

0.92

Needs Respondents

perceived treatment need

Marshman et al. 2012

1 ‘If you saw a dentist tomorrow, do you think you would need treatment?’

‘I would not need treatment’ = 1, ‘Don’t know’

=2, and ‘I would need treatment’= 3.

Higher scores more needs

-

ORAL HEALTH BEHAVIORS Personal health practices

Toothbrushing frequency

- 1 ‘How often do you brush your teeth?’

‘Twice a day’ = 3, ‘once a day’ = 2, and ‘not daily’ = 1

Higher scores more frequent brushing

-

Smoking status

- 1 Smoking status was categorized in three

groups based on number of pack years: ‘Non- smoker’ = 1, ‘Light smoker’ = 2, ‘Heavy smoker’ = 3.

Higher scores more smoking

-

Use of dental services

Frequency of dental attendance

Marshman et al. 2012

1 ‘How often do you attend dental services?’

‘Only when having problems’ = 1, ‘Longer intervals than 2 years’ = 2, ‘Every second year’= 3, ‘Every year” = 4.

Higher scores more frequent use

-

Attendance orientation

Marshman et al. 2012

1 ‘When do you use dental services?

‘Seldom/never attend DHCS’ = 1, ‘Only when having problems (pain, lost fillings)’ = 2,

‘Having routine recall/check-up’ = 3.

Higher scores more frequent use

-

ORAL HEALTH OUTCOMES

Clinical outcomes Periodontitis Eke et al.

2015

Dental examination

Periodontitis was categorized in three groups:

‘Healthy’ = 1, ‘non-severe’ = 2, ‘severe’ = 3.

Higher scores more periodontitis.

-

(3)

Person-reported oral health outcome

Oral Health impact profile (OHIP-14)

Slade 1997, Dahl 2011

14 5-point Likert scale coded as never (1), hardly ever (2), occasionally (3), fairly often (4), and very often (5). The sum scores from 14-70.

Responses to item 1- 5, and 10 represent physical function;

item 6-9 psychological function; items 11-14 represents social function. The higher the score the greater oral health impacts were experienced.

0.89

(4)

Supplementary Figure 1. Full structural model with all direct hypothesised pathways.

DS = Dental services

(5)

1) Population characteristics: social structures (i.e. high education, high income, living in a larger town with high availability to dental services) and SOC (higher scores) would predict more enabling resources (i.e. no difficulty in accessing dental services, no decline of treatment due to costs, and no dental anxiety).

2) Enabling recourses would in turn predict patients’ perceived treatment need. More enabling resources would relate to less perceived treatment need.

3) Social structure, SOC, enabling and treatment need would predict use of dental services, where more social structure, greater SOC, more enabling resources and less treatment need would relate to more use of dental services.

4) Social structures, SOC, enabling resources, treatment need and use of dental services would predict periodontal health, which in turn would predict oral impacts, with more severe periodontitis relating to more oral impacts.

5) Additionally, social structure and SOC would directly predict use of dental services, personal oral health practices (toothbrushing and

smoking), periodontitis, and oral impacts. Use of dental services would predict personal oral health practices and oral impacts. Finally, personal

oral health practices would predict periodontitis

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