Factors Associated with Psychiatric Morbidity and Psychosomatic Symptoms among Adolescent School Girls in Khartoum State-Sudan

Article Information

Nadia Mahmoud Ali Abuzied1*, Kamil Mirgany Ali2, Imad Eldin Eljack Suleiman3

1Planning and Policy and Health Research Department, Federal Ministry of Health, Khartoum, Sudan
2Psychiatric Department, University of Khartoum, Khartoum State, Sudan.
3Community and Family Medicine Department, University of Gesira, Gesira State, Sudan

*Corresponding Author: Nadia Mahmoud Ali Abuzied, Planning and Policy and Health Research Department, Continuous Professional Development Directorate, Federal Ministry of Health, Khartoum, Sudan

Received: 02 October 2018; Accepted: 11 October 2018; Published: 17 October 2018

Citation: Nadia Mahmoud Ali Abuzied, Kamil Mirgany Ali, Imad Eldin Eljack Suleiman. Factors Associated with Psychiatric Morbidity and Psychosomatic Symptoms among Adolescent School Girls in Khartoum State-Sudan. Journal of Psychiatry and Psychiatric Disorders 2 (2018): 133-144.

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Abstract

Psychosomatic health of adolescent girls at crossroads of childhood and mature adulthood, may lead to various health problems in future. To measure the prevalence and identify factors associated with psychiatric morbidity and psychosomatic symptoms among adolescent secondary school girls in Khartoum. This ‘Study’ was conducted, in three secondary schools of Khartoum North. The Simple Random Sampling Technique was applied to select three schools from the spot map of Khartoum North for this study, and 491 girl students in the adolescent age group were selected from the completed updated list of students from the enrollment registers in these schools. according to the cut-off point (≥ 24 in the G.H.Q-28) findings showed that the prevalence of psychiatric morbidity (severe depression and anxiety) was 60.89% among the adolescent secondary school girls while the psychosomatic disorder was 34.62%. The psychosomatic disorder was found to be significant (P<0.05) with the following three factors: a) late (18-19 yrs) adolescent age, (61.30%), chi- square=18.611, df=1, O.R=0.435617, CI95%=(0.276629, 0.685981); b) physicals abuse (39%) chi- square=22.34, df=1, O.R=0.281, CI95%=(0.172871, 0.458281) and c) verbal abuse (72%) chi-square=21.86, df=1, O.R=0.433, CI95%=(0.27331, 0.688). A borderline significant was seen with the family moderate (40%) and low income (40%), chi- square=5.09, df=2, O.R=(0.839, 0.799), CI95%=((0.508247, 0.503899), ( 1.755645, 1.426668)). However, no significance was there in relation to marital status (married 83.5%), chi-square=2.324, df=1, O.R=1.06, CI95%=(0.586947, 2.197218), mother education (elementary 61.76%) chi square=1.692, df=2, O.R=(1, 0.951), CI95%=((0.385528, 0.554214), (2.674766, 1.626457)) and further education (high level 73 %) chi-square=3.17, df=2, O.R=(1.282, 1.024), CI95%=((0.354603, 0.55087)( 4.49567, 1.903074)). Despite the fact that there is no significant (P>0.05) relation betwee

Keywords

GHQ-28, Cut Off Point 24, Psychosomatic Health, Sub -Scales Of GHQ

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Article Details

1. Introduction

In the era of psychiatric morbidity and psychosomatic disorder, much attention has been paid to migratory laborers and bridge population, because of their overt risky behavior, although little attention has been paid to other parts of the population. Psychiatric morbidity and psychosomatic disorder is increasing at a faster rate globally in the early adult population. Moreover, as they are at the crossroad of childhood and mature adulthood, many diversions come in the way of their rational thinking. They go for experimentation of different types. Any significant difference in their perception with regard to physical and mental development in their own body also needs to be explored. This study intended to verify the prevalence of the psychosomatic disorder, in girls students in the adolescent age groups in Khartoum. Many adolescents see physicians for diagnosis and treatment of symptoms that are found to have little or no organic basis. Definition, epidemiology, diagnosis, and management of psychosomatic symptoms are presented, with special attention to recurrent abdominal pain, which is one of the most common somatoform syndromes Also problems arise from relation to parents or peers. Moreover, strained relations were more strongly associated with health complaints, especially psychosomatic complaints, than were supportive relations. This applied to relationships with parents as well as with peers in school [1]. Research from several countries indicates that psychosomatic disorder tend to co-exist rather than occur singularly and could impose limitations on daily living and participation in school life. Colette Kelly et al. [2] reported the need for better understanding of the nature, extend, and possible causes of frequent psychosomatic symptoms among school children in Ireland, Social environment and behavioral factors need further consideration. Exploring time trends in psychosomatic symptoms by gender is also worth pursuing in light of the recent economic, societal, and educational changes in Ireland.

2. Materials and Methods

2.1 Study design

A Cross-sectional study

2.2 Study period

November 2012

2.3 Study area

Three secondary Schools of North Khartoum.

2.4 Sampling technique

The Simple Random Sampling Technique was applied to select three schools from the spot map of Khartoum North for this study.

2.5 Study population

Four hundred and night-one female students in the adolescent age, who were studying in these schools, participated in this study.

2.6 Selection criteria

All the adolescent girl students belonging to the adolescent age group were selected for this study.

2.7 Inclusion criteria

All adolescent girls studying in the selected secondary schools, and who gave informed written consent to participate in the study and were present on the day test, were included in this study.

2.8 Exclusion criteria

Participants who:-are not attended the session or absent at that day, or do not want to answer the questions, or those who did not give any written informed consent.

2.9 Data collection procedure

All the participants were explained about the purpose of the study and were ensured strict confidentiality, following which verbal informed consent was taken from each of them before the interview. The participants were given the option of not participating in the study if they did not want to. Then using the GHQ technique the data were collected. Initially, all the participants were evaluated by the pre-test questionnaire. GHQ-28, and Pre-tested questionnaire were structured to be used for the student including all study variables which is completed anonymously. collectors attended all schools on the selected days, they reviewed the lists of the students who were recorded to attend this study in order to find those who were included in the sample by matching the lists with those provided by field supervisor, so that they could meet them, get their agreement to participate in the study, and fill the questionnaire Then In brief, pre?test was done to verify the technique of the questionnaire in three secondary schools to determine the duration needed to fill questionnaire, acceptance of questions, in order to respect their time and work.

2.10 Data analysis

The data collected were thoroughly cleaned and entered into Excel spread sheets, and analysis was carried out using the statistical package SPSS (Statistical Package for Social Sciences) version 10.0 for Windows. The procedures involved were transcription, preliminary data inspection, content analysis, and interpretation.

3. Results

The results were calculated in terms of proportions. Proportions were used to derive information on the baseline characteristics of the participants. (The above mentioned Sociodemographic profile of the study shows the distribution factors among the population n=491, (table 1). The following cross tabulations using chi square, p-value<0.05, suggest that, there is relationship between the factors and psychosomatic disorder, as follows: Percentage of adolescent within the late age (18-19 yr) with psychosomatic disorder reported among school girls with prevalence rate 61.30%, comparing with mid age group (14-17yr) 38.70% P value is reported <0.0005, so psychosomatic disorder have statistically highly significant relationship with late adolescence girls, chi- square= 18.611, df=2 (cross tabulation 4). Percentage of those who have been physical abused with psychosomatic disorder reported among school girls with prevalence rate 39.41% comparing with those who have not been physical abused with prevalence rate 60.58% and P value reported <0.0005, so there is statistically significant relation between psychosomatic and physical abused, chi- square=22.34, df=1 (cross tabulation 5). Percentage of those who have been abused verbal with psychosomatic disorder reported among school girls with prevalence rate 72.35%comparing with those who have not been abused verbal with prevalence rate 27.64%and P value reported <0.0005, which is is statistically highly significant relation between psychosomatic and verbal abused, chi- square= 21.86, df=1 (cross tabulation 6). Percentage of monthly income is reported among school girls, with prevalence rate 40% for that low and moderate income compared with prevalence rate 20% from those high incomes, and P value is reported 0.078, which is border line significant with family low (40%) and moderate (40%) income, chi-square= 5.09, df=2 crosstabulation 7). Percentage of married parents with psychosomatic disorder is reported among school girls with prevalence rate 83.5%, comparing with those with non- psychosomatic with prevalence rate 89.02% and P- value reported is 0.228, So there is no association between psychosomatic disorder and family relationship, chi- square= 2.95, df=2 (cross tabulation 8). Percentage of High level father with psychosomatic disorder is reported among school girls with prevalence rate 72.94%, comparing with other education level with prevalence rate (illiterate 5.88%, elementary 21.17%), and P value reported 0.489, then there is no association between parent education and psychosomatic disorder, chi- square= 3.17, df=2 (cross tabulation 9). Percentage of elementary mother with psychosomatic disorder is reported among school girls with prevalence 61.90%, comparing with other education level with prevalence rate (illiterate 10.00%; high level 28.23%) and P value is reported 0.72, so there is no association between parent education and psychosomatic disorder chi- square=1.692, df=2 (cross tabulation 10).

Variables

Frequency

No.

%

Age

Mid age (14-17yr)

66

38.82 %

Late age (18-19)

104

61.17%

Monthly income

"Low less than 750 SDG"

67

40%

Moderate 750-1000 SDG

67

40%

High more than 1000 SDG

34

20%

Father education

Illiterate

10

5.88%

Elementary

36

21.17%

High level

124

72.94%

Mother education

Illiterate

17

10.00%

Elementary

105

61.76%

High level

48

28.23%

Marital
Status

Divorced or widowed

28

16.47%

Married

142

83.52%

Physical abuse

67

39.41%

Verbal abuse

123

72.35%

Table 1: Sociodemographic profile of the study population among Adolescent Secondary School Girls, Khartoum North locality, 2012; (n=491).

The above mentioned Sociodemographic profile of the study shows the distribution factors among the population n=491, (Table 1). The following cross tabulations using chi square, p-value<0.05, suggest that, there is relationship between the factors and psychosomatic disorder, as follows,

 

Frequency

Percent

*Psycatric morbidity

299

60.89%

**Psychosomatic disorder

170

34.62%

Total

469***

95.53%

* Those whose scores ≥ 24 when applying the 28 G HQ scales; ** Psychosomatic disorder-Psychiatric morbidity
+at least one somatic symptom; ***Missed data.

Table 2: Prevalence of Psychiatric Morbidity and Psychosomatic Disorder among Adolescent Secondary School Girls, Khartoum North locality, 2012. *28 G HQ ? 24; (N=491).

Table 2 showed that the prevalence of psychosomatic disorder (GHQ>24) was 170 (34.62%), and the prevalence of psychiatric disease 299 (60.89%) (Table 2), this research using GHQ-28 investigated health situation of 491 girls, from those 170 who are complains of psychosomatic disorder. The data of this study showed the scores of all of sub- scales of 28 GHQ and cut off point 24 in psychosomatic girls.

Table 3 showed that Percentage of adolescent within the late age (18-19 yr) with psychosomatic disorder reported among school girls with prevalence rate 61.30%, comparing with mid age group (14-17yr, 38.70%), P value is reported <0.0005, chi- square= 18.611, df=2 (cross tabulation 4), so psychosomatic disorder have statistically highly significant relationship with late adolescence girls.


Age group

Psychosomatic

Non-psychosomatic

Total

Chi-square

df

**P value

NO.

%

NO.

%

NO.

18.611

2

**<0.0005

Mid adolescent (14-17yr)

66

38.70

185

59.50

251

 

 

 

Late adolescent (18-19yr)

104

61.30

126

40.50

230

Total

170

100.0

311

100.0

481*

Fisher Exact test <0.000

Significant-value ≤ 0.05; **P-value=<0.0005; *Missing data=10 cases.

Table 3: Prevalence of psychosomatic disorder by age group among adolescent Secondary School Girls, Khartoum North locality, 2012; (N=491).

Physical abuse

Psychosomatic

Non_ psychosomatic

Total

Chi-square

Df

*P value

NO.

%

NO.

%

No.

YES

67

39.41%

63

19.62%

130

22.34

1

<0.0005

NO

103

60.58%

258

80.37%

361

Total

170

100%

321

100%

491

Fisher Exact test<0.000

Significant p-value ≤ 0.05; *P-value=<0.0005
Table 4: Prevalence of psychosomatic disorder by Physical abuse group among adolescent Secondary School Girls, Khartoum North locality, 2012; (N=491).

Table 4 showed that percentage of those who have been physical abused with psychosomatic disorder reported among school girls with prevalence rate 39%, comparing with those who have not been physical abused with prevalence rate 61% and P value reported <0.0005, chi-square=22.34, df=1 (cross tabulation 5). Then there is statistically significant relation between psychosomatic and physical abused.


Abused verbal

Psychosomatic

Non_ psychosomatic

Total

Chi-square

Df

*P value

NO.

%

NO.

%

YES

123

72.35%

162

50.46%

285

21.86

1

<0.0005

NO

47

27.64%

159

49.53%

206

Total

170

100%

321

100%

491

Fisher Exact test <0.000

Significant p-value ≤ 0.05; *P-value = <0.0005
Table 5: Prevalence of psychosomatic disorder by abused verbal group among Adolescent Secondary School Girls, Khartoum north locality, 2012; (N=491).
Table 5 showed that Percentage of those who have been abused verbal with psychosomatic disorder reported among school girls with prevalence rate 72%, comparing with those who have not been abused verbal with prevalence rate 28%, and P value reported <0.0005, So there is statistically highly significant relation between psychosomatic and verbal abused, chi-square=21.86, df=1 (cross tabulation 6). So there is statistically highly significant relation between psychosomatic and verbal abused.

Monthly income

Psychosomatic

Non_ psychosomatic

Total

Chi-square

Df

**P value

NO.

%

NO.

%

No.

High more than 1000 SDG

34

20%

74

24%

108

5.09

2

0.078

Moderate 750-1000 SDG

68

40%

146

47%

213

"Low less than 750 SDG"

68

40%

93

30%

160

Total

170

100%

313

100%

*483

Fisher Exact test <0.000

Significant p-value ≤ 0.05; *Missing data= 8; **P-value = 0.078

Table 6: Prevalence of psychosomatic disorder by Monthly income among adolescent Secondary School Girls, Khartoum North locality, 2012; (N=491).

Table 6 showed that Percentage of monthly income associated with psychosomatic disorder is higher reported among school girls, with prevalence rate 40% for moderate and low income than those high incomes with prevalence rate 20%, and P value is reported 0.078, chi- square= 5.09, df=2 (cross tabulation 7), so there is borderline significant socioeconomic statues and psychosomatic disorder Confirmed by (tuvblad et al. 2006) which may be risk factors for one sibling but not to the others?.


Marital status

Psychosomatic

Non- psychosomatic

Total
No.

Chi- square

df

p- value

No.

%

No.

%

Divorced or widowed

28

16.4%

35

10.97%

63

2.324

1

0.127

Married

142

83.5%

284

89.02%

 426

Total 

170

100.0%

319

100.0%

489

Significant p-value ≤ 0.05; **P-value=0.228; *Missing data=2

Table 7: Prevalence of psychosomatic disorder by Family relation among school girls among Adolescent Secondary School Girls, Khartoum North locality 2012; (N=491).

Table 7 showed that Percentage of psychosomatic is slightly lower in families with divorced or widower (16.4%) as compared to married (83.5%)and P-value reported is 0.127, chi-square=2.327, df=2 (cross tabulation 8) So there is no association between psychosomatic disorder and family relationship, confirmed by Collins et al. [3] that parenting has been considered optimal when communication between parents and adolescents is bidirectional, parents show warmth and acceptance, encourage social responsibility while maintaining age-appropriate control and monitoring [3].

Father education

Psychosomatic

Non_ psychosomatic

Total

Chi-square

Df

**P value

NO.

%

NO.

%

No.

Illiterate

10

5.88%

10

3, 11%

20

3.17

2

0.489

Elementary

36

21.17%

57

17.75%

93

High level

124

72.94%

251

78.14%

375

Total

170

100%

318

100%

488

Fisher Exact test <0.000

Significant p-value ≤ 0.05; *Missing data=3; **P-value=0.489

Table 8: Prevalence of psychosomatic disorder by Father Education among school girls among Adolescent Secondary School Girls, Khartoum north locality, 2012; (N=491).

Table 8 showed that, percentage of High education level father with psychosomatic disorder is reported higher among school girls with prevalence rate 73.10%, compared with other education level with prevalence rate (illiterate 10%, elementary 21%), and P value reported 0.489, then there is no association between parent education and psychosomatic disorder, chi- square=3.17, df=2 (cross tabulation 9).

Mother education

Psychosomatic

Non_ psychosomatic

Total

Chi-square

df

**P value

NO.

%

NO.

%

No.

1.692

2

0.72

Illiterate

17

10.00%

22

6.90%

39

Elementary

105

61.90%

214

67.10%

319

High level

48

28.23%

83

26.00%

131

Total

170

100%

319

100%

*489

Fisher Exact test <0.000

Significant, p-value ≤ 0.05; *Missing data=2

Table 9: Prevalence of psychosomatic disorder by Mother Education among school girls among Adolescent Secondary School Girls, Khartoum north locality, 2012; (N=491).

Table 9 showed that Percentage of elementary mother with psychosomatic disorder is reported higher among school girls with prevalence 61.90%, comparing with other education level with prevalence rate (illiterate 10.0%, high level 28.23%) and P value is reported 0.72, chi- square=1.692, df=2 (cross tabulation 10), then there is no association between parent education and psychosomatic disorder.

4. Discussion

Study shows that the prevalence of psychosomatic disorder among the school girls adolescent (34.62%) that goes in parallel with findings that the scores of all of sub- scales of GHQ-28 in girls are argued that psychosomatic disorder have significant relationship with late adolescence girls. The prevalence reported by this study was higher than that of Sweden (26%). Literature in Ireland showed that there is no relationship between socioeconomic statues and psychosomatic disorder. It revealed that the girls from less affluent backgrounds were significantly more likely to report frequent symptoms [2]. However finding of this study showed border line significant of psychosomatic disorder in relation to the family income. Tuvblad et al. in the year 2006 reported that the percentage of all psychosomatic disorder` is found to be higher in low and moderate socioeconomic class as compared to high class.

In consistency with this Literature where S.E status is a known factor for the universal studies they found same result. Percentage of psychosomatic slightly lower in families with divorced or widower (16.4%) as compared to married (83.5%) so there is no association between psychosomatic disorder and family relationship, confirmed by Collins et al. [3] that parenting has been considered optimal when communication between parents and adolescents is bidirectional, parents show warmth and acceptance, encourage social responsibility while maintaining age-appropriate control and monitoring [3]. Problems in parenting behaviors have been seen as a risk factor for problem behavior [3] and as moderators or mediators between other risk factors, such as maternal depression or economical hardship and maladjustmentPercentage of girls within the late age group increased the psychosomatic disorder more than the mid age group. So there is statistically significant relationship between age group and psychosomatic disorder. Percentage of girls who have not been abused physically is increased the psychosomatic disorder more than those who have been abused, so there is statistically significant relation between psychosomatic and physical abused. Percentage of girls who have been abused verbally is increased with the psychosomatic disorder more than those who have not been abused so there is statistically significant relation, between psychosomatic and verbal abused. Percentage of psychosomatic is higher among higher school compared with father with lower level of education, so there is no association between parent education and psychosomatic disorder.

5. Conclusion

Although the finding, in this thesis is just scratching on the surface of the problems adolescents encounter in their health daily lives, they highlight the need for a multidisciplinary approach when studying their health problems. The health problems seen today are becoming more and more complex and thus need a new approach to solve as they are in many cases no longer solely medical.

In conclusion, this study highlights the need for a better understanding of the nature, extent, and possible causes of frequent psychosomatic disorder among school girls in Khartoum north district. Social, environmental, and behavioral factors need further consideration. Exploring time trends in psychosomatic disorder among the girls is also worth pursing in light of the recent educational changes in Sudan. Such data would assist decision makers and those who care for children in providing the most relevant care through programs and behavioral support required. Also prevalence of psychosomatic and psychiatric disorders is high among late adolescent girls; which associated with variable influencing factors that require further investigation.

There is strongly association between psychiatric morbidity and psychosomatic disorder among adolescence school girls with age, all somatic symptoms, and the physical and verbal abuse, and also there is borderline significant between low and moderate social classes comparing to the higher classes.

References

  1. Bolin Laftman S, Ostberg V. The pros and cons of social relations: An analysis of adolescents’ health complaints. Social science and medicine 63 (2006): 611-623.
  2. Kelly C, Molcho M, Doyle P, et al. Psychosomatic symptoms among schoolchildren. International journal of adolescent medicine and health 22 (2010): 229-236.
  3. Laursen B, Collins WA. Parent-child communication during adolescence. In Vangelisti AL. LEA's communication series. Handbook of family communication, Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers (2004): 333-348.
  4. Steinberg H. The sin in the aetiological concept of Johann Christian August Heinroth (1773-1843). Part 2: Self-guilt as turning away from reason in the framework of Heinroth’s concept of the interrelationships between body and soul. History of psychiatry 15 (2004): 437-454.
  5. Lipowski V. Dist. Court, D. New Jersey. 423 F. Supp. 864 United States (1976).
  6. Robinson DP, Greene JW, Walker LS. Functional somatic complaints in adolescents: Relationship to negative life events, self-concept, and family characteristics. The Journal of pediatrics 113 (1988): 588-593.
  7. Brown R. Psychosomatic Problems in Adolescents. Adolescent medicine (Philadelphia, Pa) 3 (1992): 87.
  8. Berntsson LT, Gustafsson JE. Determinants of psychosomatic complaints in Swedish schoolchildren aged seven to twelve years. Scandinavian Journal of Public Health. 28 (2000): 283-293.
  9. Raban MZ, Dandona R, Dandona L. Essential health information available for India in the public domain on the internet. BMC Public Health 9 (2009): 208.
  10. Singh S. Singh M, Arora M. Somatotype and Disease-A Review (2007).
  11. Cavallo F, Zambon A, Borraccino A, et al. Girls growing through adolescence have a higher risk of poor health. Quality of Life Research 15 (2006): 1577-1585.
  12. Alfano CA, Ginsburg GS, Kingery JN. Sleep-related problems among children and adolescents with anxiety disorders. Journal of the American Academy of Child and Adolescent Psychiatry 46 (2007): 224-232.
  13. Ray S, Ghosh T, Mondal PC, et al. Knowledge and information on psychological, physiological and gynaecological problems among adolescent schoolgirls of eastern India. Ethiopian journal of health sciences 21 (2011): 183-189.
  14. Modin B, Ostberg V. School climate and psychosomatic health: a multilevel analysis. School Effectiveness and School Improvement 20 (2009): 433-455.
  15. Lindstrom A. The Ownership of Traditional Knowledge. 29 (2011).
  16. Windle M, Grunbaum JA, Elliott M, et al. Healthy passages: A multilevel, multimethod longitudinal study of adolescent health. American Journal of Preventive Medicine 27 (2004): 164-172.
  17. Voegelin E, Germino DL. Plato and Aristotle, University of Missouri Press (2000).
  18. Hall GS. Adolescence: Its psychology and its relations to physiology, anthropology, sociology, sex, crime, religion and education. D Appleton (1996).
  19. Leventhal T, Brooks-Gunn J. The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. Psychological bulletin 126 (2000): 309.
  20. Keating DP. Cognitive and brain development. Handbook of adolescent psychology 2 (2004): 45-84.
  21. Coleman JC, Henry LB. The Nature of Adolescence. 3e: Psychology Press (1999).
  22. Larson R, Wilson S. Adolescence across place and time. Handbook of adolescent psychology (2004): 299-330.
  23. Frojd S. Mental Health in Middle Adolescence. Association of Family Factors with Diverse Maladjustment Outcomes (2008).
  24. Ding L, Getz G, Wheeler DA, et al. Somatic mutations affect key pathways in lung adenocarcinoma. Nature 455 (2008): 1069-1075.
  25. Coleman JC, Hendry LB. The nature of adolescence (1999).
  26. Field S, Hoffman A, Posch M. Self-determination during adolescence a developmental perspective. Remedial and Special Education 18 (1997): 285-293.
  27. Mandell DS, Walrath CM, Goldston DB. Variation in Functioning, Psychosocial Characteristics, and Six?Month Outcomes Among Suicidal Youth in Comprehensive Community Mental Health Services. Suicide and Life-Threatening Behavior 36 (2006): 349-362.
  28. Romano E, Tremblay RE, Vitaro F, et al. Prevalence of psychiatric diagnoses and the role of perceived impairment: findings from an adolescent community sample (2001).
  29. Pignone MP, Gaynes BN, Rushton JL, et al. Screening for depression in adults: a summary of the evidence for the US Preventive Services Task Force. Annals of Internal Medicine 136 (2002): 765-776.
  30. Susman EJ, Rogol A. Puberty and psychological development. Handbook of adolescent psychology 2 (2004): 15-44.
  31. Rauste-von Wright M, von Wright J. A longitudinal study of psychosomatic symptoms in healthy 11?18 year old girls and boys. Journal of Psychosomatic Research 25 (1981): 525-534.
  32. Aro H, Paronen O, Aro S. Psychosomatic symptoms among 14-16 year old Finnish adolescents. Social psychiatry 22 (1987): 171-176.
  33. Groholt EK, Stigum H, Nordhagen R, et al. Recurrent pain in children, socio-economic factors and accumulation in families. European journal of epidemiology 18 (2003): 965-975.

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