Literature DB >> 25643701

Association between sense of coherence in adolescence and social benefits later in life: a 12-year follow-up study.

Else Toft Würtz1, Kirsten Fonager2, Jens Tølbøll Mortensen3.   

Abstract

OBJECTIVES: Local government concerns over expenditure on social and healthcare are growing. The aim of the present study was to explore the association between a weak 'sense of coherence' (SOC) in teens and their subsequent risk of receiving social and healthcare benefits during young adulthood, and to monitor how SOC developed during this period.
DESIGN: Prospective cohort study.
SETTING: North Denmark Region. PARTICIPANTS: 773 Pupils from seventh and eighth forms who answered a questionnaire in 1998. OUTCOME MEASURES: Different social benefits (from the Danish DREAM database embracing disbursed public social benefits). Change in SOC score from 1998 to 2010.
RESULTS: 722 had answered seven items of the original SOC-13 questionnaire (denoted by SOC-7). Girls with a weak SOC-7 (the lowest 1st quartile) in 1998 had a significantly increased risk of receiving unemployment benefits (RR 1.3 (1.1 to 1.6)), social assistance (RR 1.8 (1.3 to 2.5)) and sickness benefits (RR 1.5 (1.2 to 2.0)) compared with girls with a strong SOC-7. For boys, only minor protective and non-significant differences were found. The SOC answers from 1998 and 2010 were compared (n=394). SOC increased significantly and mostly in girls.
CONCLUSIONS: SOC-7 may serve as a predictor for social life event outcomes and hence facilitate an early identification and a selective approach to support teenage girls with a weak SOC. From adolescence to young adulthood, SOC-7 was of a relatively unstable nature. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  EPIDEMIOLOGY; PUBLIC HEALTH; SOCIAL MEDICINE

Mesh:

Year:  2015        PMID: 25643701      PMCID: PMC4316432          DOI: 10.1136/bmjopen-2014-006489

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The study found a significant association between a weak sense of coherence (SOC) in adolescent girls and receiving social benefits in young adulthood using data with complete follow-up. No information about non-responders at baseline. The study could have been easier compared with other studies using the entire SOC-13 questionnaire in 1998.

Introduction

Supporting society’s youngest citizens has both social and economic rationales. As youth employment in the age group 15–29 years has increased rapidly from 6% in 2008 to 13% in 2010,1 it has contributed to local government concerns over social and healthcare expenditures. Sense of coherence (SOC) was introduced in 1979 by Aaron Antonovsky as a salutogenic concept that captured the strength and determinants in health.2 The definition of SOC is: A global orientation that expresses the extent to which one has a pervasive, enduring, though dynamic feeling of confidence that (1) the stimuli deriving from one's internal and external environments in the course of living are structured, predictable, and explicable; (2) the resources are available to one to meet the demands posed by these stimuli; and (3) these demands are challenges, worthy of investment and engagement.3 These three components are called comprehensibility, manageability and meaningfulness, respectively. The relationship between the components is dynamic in the sense that high manageability depends on comprehensibility.3 According to Antonovsky, a person's SOC is based on biological material and psychosocial phenomena and is a result of earlier life experiences until 30 years of age, and it remains relatively stable during life.3 The original ‘orientation-to-life questionnaire’ counted 29 items distributed on 11 items of comprehensibility, 10 items of manageability and eight items of meaningfulness (ie, SOC-29). A short version, SOC-13, comprising 13 of the original 29 items, was also developed. The SOC tool appears to be a reliable, valid and cross-culturally applicable instrument measuring how people manage stressful situations and stay well.4 5 SOC seems, however, not to be as stable as was assumed by Antonovsky.5 6 Both Swedish and Danish studies have found that SOC-13 varies with age and gender in cross-sectional population studies.7 8 In general, men usually have a slightly stronger SOC than women.5 A strong SOC indicates that a person will be likely to cope more successfully with stressful situations. A strong SOC has been found to predict good health and to be related to a high quality of life.5 SOC also correlates with better school performance.9 Furthermore, SOC has been shown to have a negative correlation with anxiety and depression, a positive correlation with optimism and self-esteem, a moderate correlation with life events and to be connected with attitudes and behaviour.5 Other researchers have already addressed interventions to promote SOC.10 11 The aim of the present study was to explore the association between a weak SOC in teens and their subsequent risk of receiving social and healthcare benefits during young adulthood and to monitor how SOC developed during this period.

Methods

Baseline

In 1998, the Department of Clinical Epidemiology, Aalborg Hospital, Aarhus University Hospital, Denmark completed a study of teenagers’ use of over-the-counter painkillers.12 The basic population consisted of pupils from seventh and eighth forms in the former North Jutland County in Denmark. Selected public schools from districts with low, middle and high medicine use13 combined with rural and urban locations were invited to participate. Acceptance from 15 schools resulted in 1178 requests to fill in a self-administrated questionnaire during a school lesson, corresponding to 12.7% of seventh and eighth form pupils in North Jutland County in 1998.14 Questions addressed issues about spare time, pain, use of painkillers, well-being, friends and selected SOC items. In 1998, the researchers selected seven of the original 13 SOC items from Antonovsky's SOC-133 (hereafter denoted by SOC-7). The seven items were those considered that the pupils would be capably answering given their age (no 1, 4–6, 8–9 and 13 from the SOC-13). The SOC-7 items were translated by JTM and a few phrases diverged slightly from the later Danish translation.15 Answers were given on a 7-point Likert scale. The questionnaire also requested information on the Civil Registration System (CPR), which uniquely identifies all Danish citizens and was used for data linkage. The respondents’ parents received a self-administered questionnaire on their occupation, pain, use of painkillers and satisfaction with life. The schools returned 802 (68%) individual questionnaires from 433 girls and 369 boys of whom 699 also returned a parent questionnaire. The pupils’ age varied from 12 to 16 (born 1982–1985).

Follow-up

Based on the CPR number, the 1998 participants were contacted again in 2010. We reached 773 (96%). Those lost to follow-up included two whose CPR number was lacking, six who had died, 15 who had no available address and six mail deliveries that failed. Data were linked to the Danish DREAM database where information on all public social benefits are registered on a weekly basis and can be linked to the individual recipient via the CPR number. The DREAM database contains pooled data from all relevant Danish ministries, all Danish municipalities and the national bureau of statistics (Statistics Denmark) since July 1991 and the database has been found suitable for public health research.16 The DREAM database has 110 different codes which cover benefits disbursed within any given week to a citizen whether he or she has received the benefit during a single day or the whole week. It is only possible to have one registration per week in a given benefit priority. A personal letter with an internet address and a personal identification code was mailed to each follow-up participant and, if necessary, a reminder was mailed 1 month later. The internet-based questionnaire contained the SOC-13 questionnaire and 48 other questions considering self-reported health (SF12), medicine use, alcohol (Cage-C) and smoking habits, diet, physical activity, height, weight and education.

Ethical considerations

The study was conducted in accordance with the World Association's Declaration of Helsinki. The participants and their parents signed a consent form and accepted participation in a later follow-up study. In 2010, the North Denmark Region approved and notified the Danish Data Protection Agency about the follow-up study.

Statistical analyses

Only participants who had answered all SOC-7 items in 1998 were included. The SOC scores were dichotomised into first (weak) and second-to-fourth quartile (strong) SOC. No ‘normal’ level of SOC was suggested by Antonovsky, and little agreement seems to exist on how to set SOC levels. Still, several studies have used the lowest 25% of the scores to characterise the weak group.5 DREAM data were extracted from the years 2000 to 2009 and categorised in primary and secondary groups as shown in table 1.
Table 1

Selected codes for social benefits in the DREAM database and participants in groups 2000 throughout 2009

*Social benefit administered by the municipal social service department. Amount based on calculation of economic needs. Payment normally requires active job seeking through the Public Employment Service.

†Paid by the Public Employment Service to the employer of a long-term unemployed person.

‡Municipally administered benefit paid to a person or transferred to an employer if the employer pays a normal wage to a sick-listed employee.

§Jobs for citizens receiving disability pension. Jobs are on special terms as regards pay and working hours. Normally, only a few hours weekly.

¶Jobs created for persons with limited work capacity. Person receives a normal wage and the benefit is transferred to the employer. N: number in secondary group: a person may be present in several groups.

Selected codes for social benefits in the DREAM database and participants in groups 2000 throughout 2009 *Social benefit administered by the municipal social service department. Amount based on calculation of economic needs. Payment normally requires active job seeking through the Public Employment Service. †Paid by the Public Employment Service to the employer of a long-term unemployed person. ‡Municipally administered benefit paid to a person or transferred to an employer if the employer pays a normal wage to a sick-listed employee. §Jobs for citizens receiving disability pension. Jobs are on special terms as regards pay and working hours. Normally, only a few hours weekly. ¶Jobs created for persons with limited work capacity. Person receives a normal wage and the benefit is transferred to the employer. N: number in secondary group: a person may be present in several groups. The risk of receiving different social benefits was analysed using two different categories: (1) Any social benefit received, (2) Long duration of social benefit (unemployment benefit >6 months, social assistance >3 months, and sickness benefit >3 months). Bivariate associations were tested with χ2 statistics. The association between a weak SOC as a teen and the risk of receiving social benefits in young adulthood was assessed by relative risk (RR) estimates. However, since it was possible to receive more than one type of social benefits during the study period, restricted analyses were performed that compared participants with a specific benefit with participants receiving no benefit at all in the study period. The internal consistency reliability of the SOC scale items were measured with Cronbach's α coefficient. In order to compare SOC in 1998 with SOC in 2010, the test–retest correlation was measured with Pearson's correlation coefficient. Only participants who answered the SOC-7 items in 2010 were included. The statistical significance level was set at p<0.05 and CIs of 95% were reported. Analyses were completed in STATA V.9.2.

Results

The baseline SOC-7 range and mean (SD) was 9–49, 36.2 (7.1), respectively, and were significantly higher in boys (18–49, 37.8 (6.4)) compared with girls (9–49, 35.0 (7.4)). The scale reliability coefficient of the SOC-7 items from 1998 was 0.77 (boys 0.73 and girls 0.79). Baseline data (table 2) were stratified according to answers to the SOC-7 items: Answering
Table 2

Description of study population in 1998 stratified on answers to sense of coherence questions

SOC-7*
<7 itemsN=511st quartileN=1812nd–4th quartilesN=541TotalN=773
N (%)N (%)N (%)N (%)
Age, mean (SD)14 (0.8)13.9 (0.7)13.9 (0.7)13.9 (0.7)
Gender
 Boys30 (59)†56 (31)‡266 (49)352 (46)
Form
 7th24 (47) 75 (41)234 (43)333 (43)
Living
 Rural26 (51) 87 (48)255 (47)368 (48)
 With mum and dad36 (78)132 (73)420 (78)588 (77)
Siblings
 0–237 (84) 121 (72)‡415 (82)573 (80)
Spare time
 Practise sport34 (77)122 (70)396 (76)552 (75)
 Have work28 (65)109 (64)301 (59)438 (60)
Health
 Healthy§39 (89) 131 (80)‡444 (87)614 (86)
Well-being
 Good everyday life¶43 (96)168 (93) 540 (100)751 (98)
 Enough time**41 (89)155 (86)‡515 (96)711 (93)
 Feel rested††29 (67)90 (51)‡350 (65)469 (62)
 Have a good friend‡‡42 (93)†170 (96)‡529 (99)741 (98)
Parents (N=682)
 Satisfied with life§§44 (96)147 (94)454 (95)645 (95)

*SOC-7; sense of coherence. Seven of the SOC-13 items were used in 1998 (item 1, 4–6, 8–9 and 13).

†Significant when compared with those who answered all seven SOC items, p<0.05.

‡Significant when compared with the 2nd–4th SOC quartile, p<0.05.

§Question: ‘Do you see yourself as a completely healthy person?’

¶Question: ‘Are you well in everyday life?’

**Question: ‘Do you have time to do the things you want to do on a daily basis?’

††Question: ‘Do you get enough sleep to feel rested?’

‡‡Question: ‘Do you mostly have a good friend?’

§§Question: ‘Are you satisfied with your life?’

N, number.

Description of study population in 1998 stratified on answers to sense of coherence questions *SOC-7; sense of coherence. Seven of the SOC-13 items were used in 1998 (item 1, 4–6, 8–9 and 13). †Significant when compared with those who answered all seven SOC items, p<0.05. ‡Significant when compared with the 2nd–4th SOC quartile, p<0.05. §Question: ‘Do you see yourself as a completely healthy person?’ ¶Question: ‘Are you well in everyday life?’ **Question: ‘Do you have time to do the things you want to do on a daily basis?’ ††Question: ‘Do you get enough sleep to feel rested?’ ‡‡Question: ‘Do you mostly have a good friend?’ §§Question: ‘Are you satisfied with your life?’ N, number. Significant differences between the first quartile and the second–fourth quartiles were seen in terms of gender, number of siblings, health, enough time, feeling rested and having a good friend. The distribution was more equal for age, form, spare time, living and the parents’ satisfaction with life. DREAM data were available for all reached 773 participants in 2010. The distribution of the participants in DREAM groups appears in table 1. It should be noted that a respondent could be registered in several groups in the time span. According to the selected codes of interest, 266 participants had no entry in DREAM from 2000 until the end of 2009. In all, 49% had received unemployment benefit, 21% social assistance, 37% sickness benefit and 0.5% permanent health-related benefit. A total of 722 pupils had answered all SOC-7 items in 1998. Among the 51 pupils (773–722) who disregarded some or all SOC-7 items in 1998, significantly more pupils were boys and more pupils were missing ‘a good friend’ than among the 722 answering all the SOC-7 items. Girls (n=21) more frequently received social assistance (38% vs 25%) and sickness benefit (52% vs 37%) later in life compared to girls who completed SOC-7. In contrast, boys (n=30) received less sickness benefits (23% vs 37%) later in life compared to boys who completed SOC-7. At follow-up, 57% (441 out of 773) answered the internet-based questionnaire and 394 (94%) had answered the same SOC-7 items as in 1998. The range, mean (SD) and the scale reliability coefficient of the SOC-7 items were 16–49, 39.6 (7.3) and 0.84, respectively (Girls: 16–49, 39.3 (7.5) and 0.85; boys: 16–49, 40.0 (7.0) and 0.82). SOC-7 increased significantly from 1998 to 2010, mostly in the girls. Mean differences in SOC-7 were 3.7 for girls and 1.8 for boys. The 332 non-responders in 2010 were significantly more often males than females, more often in the weak than in the strong SOC-7 group, and had an increased risk of receiving social benefits and sickness benefits later in life compared with those who completed the questionnaire. The equivalent values within the SOC-13 items were 31–84, 67.0 (9.9) and 0.89, respectively (Girls: 31–84, 67.0 (9.9) and 0.89; boys: 35–83, 67.5 (10.0) and 0.89). Using all the SOC-13 items seemed to eliminate the scale reliability gender difference observed with SOC-7.

SOC and social benefits

Girls had more often received any kind of social benefit than boys (table 3). Compared with girls with a strong SOC-7, girls with a weak SOC-7 had a significantly increased RR of receiving unemployment benefits (RR 1.3; 95% CI 1.1 to 1.6), social assistance (RR 1.8; 95% CI 1.3 to 2.5) and sickness benefit (RR 1.5; 95% CI 1.2 to 2.0), but non-significant permanent health-related benefits (RR 6.6; 95% CI 0.7 to 62.8; table 3). Excluding participants receiving one of the other social benefits listed in table 1 did not change the estimates, except for the permanent health-related benefit which significantly exhibited an increased risk. Girls’ excess risk of receiving social benefits was increased even further in the long term (table 4). For boys, only minor non-significant protective differences were found between the SOC-7 groups.
Table 3

Young adult's risk of receiving any selected social benefits later in life (2000–2009) if having a weak sense of coherence (SOC-7) in 1998 (N=722)

 Female
Male
1st quartileSOCN=1252nd–4th quartileSOCN=275RR (95% CI)RR* (95% CI)1st quartileSOCN=562nd–4th quartileSOCN=266RR (95% CI)RR* (95% CI)
Per centPer centPer centPer cent
Unemployment benefit (table 2: A)57431.32 (1.08 to 1.62)1.37 (1.15 to 1.64)43530.81 (0.59 to 1.12)0.91 (0.68 to 1.21)
Social assistance (table 2: B)35201.76 (1.26 to 2.46)1.81 (1.36 to 2.41)14160.90 (0.45 to 1.82)0.92 (0.49 to 1.73)
Sickness benefit (table 2: C)49321.53 (1.19 to 1.96)1.52 (1.23 to 1.88)43361.20 (0.85 to 1.69)1.07 (0.80 to 1.45)
Permanent health-related benefit (table 2: D+E)2.40.46.60 (0.69 to 62.8)10.27 (1.10 to 95.5)00

Bold: p<0.05.

*Excluding participants receiving some of the other selected social benefits.

N, number; RR, relative risk.

Table 4

Young adult's risk of receiving selected social benefits for at least 3 months* later in life (2000–2009) if having a weak sense of coherence (SOC-7) in 1998 (N=722)

 Female
Male
1st quartileSOCN=1252nd–4th quartileSOCN=275RR (95% CI)RR† (95% CI)1st quartileSOCN=562nd–4th quartileSOCN=266RR (95% CI)RR† (95% CI)
Per centPer centPer centPer cent
Unemployment benefit (table 2: A)39211.89 (1.38 to 2.60)1.89 (1.41 to 2.53)11260.42 (0.19 to 0.92)0.47 (0.22 to 1.01)
Social assistance (table 2: B)30152.04 (1.38 to 3.00)2.23 (1.53 to 3.23)7110.66 (0.24 to 1.79)0.61 (0.23 to 1.65)
Sickness benefit (table 2: C)30152.09 (1.41 to 3.09)2.35 (1.64 to 3.37)11190.57 (0.26 to 1.26)0.68 (0.32 to 1.46)

Bold: p<0.05.

*(A) Having received payment for more than 6 months in the period. (B) Having received payment for more than 3 months in the period. (C) Having received payment for more than 3 months in the period.

†Excluding participants receiving some of the other selected social benefits.

N, number; RR, relative risk.

Young adult's risk of receiving any selected social benefits later in life (2000–2009) if having a weak sense of coherence (SOC-7) in 1998 (N=722) Bold: p<0.05. *Excluding participants receiving some of the other selected social benefits. N, number; RR, relative risk. Young adult's risk of receiving selected social benefits for at least 3 months* later in life (2000–2009) if having a weak sense of coherence (SOC-7) in 1998 (N=722) Bold: p<0.05. *(A) Having received payment for more than 6 months in the period. (B) Having received payment for more than 3 months in the period. (C) Having received payment for more than 3 months in the period. †Excluding participants receiving some of the other selected social benefits. N, number; RR, relative risk.

SOC and self-rated health

Self-rated health was explored in 2010 by the question: ‘In general, would you say your health is...’ and answers were 9% ‘Excellent’, 48% ‘Very good’, 33% ‘Good’, 8% ‘Fair’ and 1% ‘Poor’ (n=432). Having a weak SOC-7 in 1998 significantly increased the risk that the participants would rate their health as fair or poor compared with excellent, very good or good (RR 1.99 (95% CI 1.03 to 3.86); n=409).

Test–retest of SOC

Pearson's correlation coefficients were equal among boys and girls (0.31 and 0.30). This corresponds to an imperfect positive correlation between SOC-7 due to actual changes in the populations’ SOC-7 scores. Figure 1 shows the SOC-7 items from 1998 and 2010 scored as continuous variables (n=394). Notable changes were observed: 35% of the girls and 27% of the boys changed the SOC-7 group. The change from a weak 1998 to a strong 2010 SOC-7 was more prominent among boys (64%) than among girls (58%), whereas the girls accounted for the largest change from a high 1998 to a weak 2010 SOC-7 (27%) against the identical change in boys (21%).
Figure 1

Sense of coherence (SOC) among 394 participants answering the same seven items of the SOC-13 questionnaire (no. 1, 4–6, 8–9 and 13) in 1998 and 2010. Dotted lines separate the 1st and 2nd–4th quartiles of SOC-7.

Sense of coherence (SOC) among 394 participants answering the same seven items of the SOC-13 questionnaire (no. 1, 4–6, 8–9 and 13) in 1998 and 2010. Dotted lines separate the 1st and 2nd–4th quartiles of SOC-7.

Discussion

A weak SOC-7 among girls in their teenage years increased their risk of becoming recipients of all the social benefits analysed in this study. All respondents had an increased risk of having a fair or poor self-rated health in 2010 if they had a weak SOC-7 in 1998. SOC-7 appeared to be somewhat unstable with a significant increase during the study period, especially in females. The 1998 response rate was 68% and we had no information on non-responders. The selected sample and low response rate may reduce our ability to make general conclusions on the basis of the estimations. Looking at SOC-7 non-responders, we found them to be similar in terms of living, spare time and health to those who had answered all the SOC-7 items. However, girls answering less than seven SOC-7 items more frequently received social assistance and sickness benefits later in life than those who answered all the SOC-7 questions, while the 30 boys received less sickness benefit later in life compared to those who answered all seven SOC items. Furthermore, selection bias regarding the participating schools could not be rejected, although urban and rural schools are present. The differences in scale reliability coefficients between boys and girls (0.73 and 0.79, respectively) at baseline support the common a priori belief that girls are more mature than boys in seventh and eighth forms given the more coherent answers, while the equal coefficients for SOC-13 in 2010 but not SOC-7 might rather point to a matter of selected questions. A main strength of this study is the complete follow-up in DREAM data. The response rate for the follow-up questionnaire was 57%, considered low, but expectable in a 12-year follow-up study, with no further contact with the participants. However, we believe that the internet-based questionnaire was ideal for this young target group and would not expect an increased response using an ordinary hard copy format. The mean SOC in 2010 may have been overestimated because a large fraction of 2010 non-responders had a comparatively weak SOC-7 score in 1998. During the study period, the international financial crisis may have increased the need for social benefits in general. This may have entailed an underestimation of the association between a ‘normal’ risk of receiving social benefits later in life and having had a weak SOC-7. The most favourable basis on which this study could have been compared with other studies would have been in 1998 to use the entire SOC-13 questionnaire which is applicable to children from 12 years.17 No other studies have been identified using the SOC-7 items used for the baseline study. Several studies have used all SOC-13 questions,17–19 or the modified children's scale,20 21 for teenagers aged 11–16 years. The internal consistency reliability of the SOC scale was 0.81–0.87 in these studies. The present baseline study had a slightly lower Cronbach's α of 0.77 for the selected SOC-7 items, which might be explained by our use of fewer items.5 Other studies have described a significantly higher SOC in boys than in girls as seen in the baseline data of this study.19 21 22 Longitudinal studies using SOC as a predictor of social benefits are few. A Finnish study using 16 items of SOC-29 predicted that having a one-point decrease in SOC would increase the risk for disability pension by 1.5.23 In another study, Finnish employees answered six items from SOC-29 and a weak SOC significantly predicted sickness absence in females.24 In a review of SOC and its association with health, Eriksson and Lindstrom concluded that SOC seems to be a health-promoting resource.25 This study supports this view because the respondents had an increased risk of rating their health as fair or poor if they had a weak SOC-7. Our study had a low test–retest correlation coefficient (0.31) as evidenced by a significant change in SOC-7 over 12 years and by the fact that a large number of participants changed the SOC-7 group, which reflects the relatively unstable nature of SOC-7 in this age group. Cross-sectional studies have attributed a change in the SOC score in different age groups to cohort effects, health selection or life experience.7 8 The follow-up design adopted in this study eliminated the cohort effect and health selection by demonstrating a true age effect. Moreover, our results confirm the findings from other longitudinal studies which have reported test–retest correlation coefficients between 0.42 and 0.77 with up to 10 years of follow-up.5 Additionally, SOC seems to be more stable in older age groups.26 27 The low correlation coefficient in our study is probably due to the comparatively young age of the study group. Previous cross-sectional studies of adolescents have reported negative associations between SOC and use of medicine, persistent depressive symptoms and generalised anxiety, and subjective health problems.20–22 28 This is in agreement with our study since social benefits might be an indicator of health problems. To the best of our knowledge, no similar studies have reported that a weak SOC in girls may be a predictor for receiving social benefits later in life, and further studies are therefore needed. One could construct a hypothesis that the SOC-7 answers from 1998 actually reflect the girls being more conscious of their life situation. Intervention studies targeting adolescent girls with a weak SOC may contribute valuable knowledge that will allow us to test or design instruments for supporting these girls.

Conclusion

This study found a significant association between a weak SOC-7 in adolescent girls and receiving social benefits in young adulthood. These findings may suggest that SOC may serve as a predictor for social life event outcomes and may hence facilitate an early identification and a selective approach to supporting teenage girls with a weak SOC. From adolescence to young adulthood, SOC-7 seemed to be relatively unstable.
  18 in total

Review 1.  Validity of Antonovsky's sense of coherence scale: a systematic review.

Authors:  Monica Eriksson; Bengt Lindström
Journal:  J Epidemiol Community Health       Date:  2005-06       Impact factor: 3.710

Review 2.  Antonovsky's sense of coherence scale and the relation with health: a systematic review.

Authors:  Monica Eriksson; Bengt Lindström
Journal:  J Epidemiol Community Health       Date:  2006-05       Impact factor: 3.710

3.  The adult sense of coherence scale is applicable to 12-year-old schoolchildren--an additional tool in health promotion.

Authors:  Päivi-Leena Honkinen; Sakari Suominen; Päivi Rautava; Jari Hakanen; Raija Kalimo
Journal:  Acta Paediatr       Date:  2006-08       Impact factor: 2.299

4.  Sense of coherence and psychological well-being: improvement with age.

Authors:  K W Nilsson; J Leppert; B Simonsson; B Starrin
Journal:  J Epidemiol Community Health       Date:  2009-08-19       Impact factor: 3.710

5.  ["Sense of coherence", social class and health in a Danish population study].

Authors:  E P Due; B E Holstein
Journal:  Ugeskr Laeger       Date:  1998-12-14

6.  Sense of coherence and disability pensions. A nationwide, register based prospective population study of 2196 adult Finns.

Authors:  Sakari Suominen; Raija Gould; Jari Ahvenainen; Jussi Vahtera; Antti Uutela; Markku Koskenvuo
Journal:  J Epidemiol Community Health       Date:  2005-06       Impact factor: 3.710

7.  Structural validity and temporal stability of the 13-item sense of coherence scale: prospective evidence from the population-based HeSSup study.

Authors:  Taru Feldt; Hanna Lintula; Sakari Suominen; Markku Koskenvuo; Jussi Vahtera; Mika Kivimäki
Journal:  Qual Life Res       Date:  2006-11-08       Impact factor: 4.147

8.  The relationship between Sense of Coherence and toothbrushing behaviours in Iranian adolescents in Mashhad.

Authors:  Mojtaba Dorri; Aubrey Sheiham; Rebecca Hardy; Richard Watt
Journal:  J Clin Periodontol       Date:  2009-11-24       Impact factor: 8.728

9.  Sense of coherence and medicine use for headache among adolescents.

Authors:  Vibeke Koushede; Bjørn E Holstein
Journal:  J Adolesc Health       Date:  2009-02-24       Impact factor: 5.012

10.  Register-based follow-up of social benefits and other transfer payments: accuracy and degree of completeness in a Danish interdepartmental administrative database compared with a population-based survey.

Authors:  Niels Henrik Hjollund; Finn Breinholt Larsen; Johan Hviid Andersen
Journal:  Scand J Public Health       Date:  2007       Impact factor: 3.021

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  3 in total

1.  Influence of sense of coherence on adolescents' self-perceived dental aesthetics; a cross-sectional study.

Authors:  Aline Cavalcanti da Costa; Fabrícia Soares Rodrigues; Priscila Prosini da Fonte; Aronita Rosenblatt; Nicola Patricia Thérèse Innes; Mônica Vilela Heimer
Journal:  BMC Oral Health       Date:  2017-08-17       Impact factor: 2.757

2.  Association between Physical Fitness, Physical Activity Level and Sense of Coherence in Swedish Adolescents; An Analysis of Age and Sex Differences.

Authors:  Anna Hafsteinsson Östenberg; Anton Enberg; Haris Pojskic; Barbara Gilic; Damir Sekulic; Marie Alricsson
Journal:  Int J Environ Res Public Health       Date:  2022-10-07       Impact factor: 4.614

3.  Psychological resources in adolescence and the association with labour market participation in early adulthood: a prospective cohort study.

Authors:  Jacob Devantie Jensen; Johan Hviid Andersen; Trine Nøhr Winding
Journal:  BMC Public Health       Date:  2020-03-24       Impact factor: 3.295

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