Skip to main content

Subjective health complaints in older adolescents are related to perceived stress, anxiety and gender – a cross-sectional school study in Northern Sweden



Negative trends in adolescent mental and subjective health are a challenge to public health work in Sweden and worldwide. Self-reported mental and subjective health complaints such as pain, sleeping problems, anxiety, and various stress-related problems seem to have increased over time among older adolescents, especially girls. The aim of this study has therefore been to investigate perceived stress, mental and subjective health complaints among older adolescents in Northern Sweden.


Data were derived from a cross-sectional school-based survey with a sample consisting of 16–18 year olds (n = 1027), boys and girls, in the first two years of upper secondary school, from different vocational and academic programmes in three public upper secondary schools in a university town in northern Sweden. Prevalence of perceived stress, subjective health complaints, general self-rated health, anxiety, and depression were measured using a questionnaire, including the Hospital Anxiety and Depression Scale (HADS).


A large proportion of both girls and boys reported health complaints and perceived stress. There was a clear gender difference: two to three times as many girls as boys reported subjective health complaints, such as headache, tiredness and sleeping difficulties and musculoskeletal pain, as well as sadness and anxiety. High pressure and demands from school were experienced by 63.6% of girls and 38.5% of boys. Perceived stress in the form of pressure and demands correlated strongly with reported health complaints (r = 0.71) and anxiety (r = 0.71).


The results indicate that mental and subjective health complaints are prevalent during adolescence, especially in girls, and furthermore, that perceived stress and demands may be important explanatory factors. Future studies should pay attention to the balance between gender-related demands, perceived control and social support, particularly in the school environment, in order to prevent negative strain and stress-related ill-health. The gender gap in subjective adolescent health needs to be further explored.

Peer Review reports


Adolescent mental and subjective health has become a public health concern in Sweden and worldwide [14]. In Sweden, self-reported mental and subjective health complaints, such as pain, sleeping problems, anxiety, and various stress-related problems are common and seem to have increased over time among older adolescents, especially girls [59]. Similar trends are found across the Nordic countries, the rest of Europe, and North America indicating the need to address socio-contextual factors in the study of gender health inequalities during adolescence [1013]. However, time trends are found to be discrepant and subject to change [5, 6]. For example, a study from 2004 observed a rise of conduct- and emotional problems in UK adolescents over a 25-years period [14]; whereas more recent ratings indicated that children’s mental health problems now may have “peaked” [15]. In comparison, a national Dutch study shows divergent trends in adolescent mental health in terms of sex/gender with a decline in boys’ externalization problems, but an increase in girls’ internalization problems [16].

In Sweden, adolescents’ “stress” and mental health are now on the public health agenda [7, 17]. Repeated Internet-based surveys found that perceived stress and psychosomatic health problems peak in adolescent girls at 16–18 years of age [8]. In this age group 37% of the girls and 22% of the boys considered themselves as being “very often” stressed. Also the longitudinal national Survey of living conditions among children shows high prevalence of self-reported stress in female upper secondary school students [18]. In a sample of 16-year old upper secondary school students in Stockholm, one-third reported serious stress-symptoms with 14.2% of the girls and 2.6% of the boys exceeding the set cut-off for chronic stress [19]. Perceptions of high demands, low global self-esteem, sleep disturbances and poor social support seemed to predict their stress symptoms.

In line with these empirical findings, adolescence in industrialized countries is commonly described as an important period of development characterized by tumultuous transition and “storm and stress” – although such notions also are questioned [2022]. During adolescence, health and resilience develop in a manner closely linked to the social context such as family, peers, partners and school. However, this period can also be a time of psychological distress [19, 2327]. Adolescence is viewed as a critical period for early onset of mental illness [28]. Despite being heterogeneous as a group, adolescents share rapid physical, cognitive, emotional and social changes [21, 29]. Adolescents’ health related quality of life is found to be influenced by development of self-governance and autonomy, position in peer-group, intimacy and sexuality as well as by physical maturation and a changing body [29]. Late adolescence can be a lonely time in life, with what is often a concomitant increase in various stressors and demands [21, 29, 30]. Adolescent stress appears to be linked to multiple stressors and areas such as school performance, partner relationships, bullying and peer pressure, financial problems, emerging adult responsibilities and worries about the future [21, 31]. When placing these aspects in a wider social context, young people’s lives and challenges seem even more complex [31, 32]. Social aspects of gender are also seen as interlinked with experienced stress and health-problems [31, 33, 34]. “Gendered pathways in school burnout” is a recently raised topic in research on adolescent stress [13].

Co-occurrence of physical and psychological health problems is common among adolescents [35] and associations between various stressors, perceived stress and subjective health complaints have been observed [24, 36]. Frequent subjective health problems are headache, abdominal pain, musculoskeletal symptoms, sleeping difficulties and nervousness [37]. Multiple pain problems, as an example, have negative psychosocial consequences and impact on quality of life [38]. In addition, pain problems often persist into early adulthood [39]. Adolescent sleep disturbances are also found to predict sleeping disturbances later in life [40, 41]. Moreover, longitudinal studies indicate that mild psychiatric symptoms early in life such as anxiety, insomnia or sub-threshold depression increase the risk of psychiatric conditions later in life [4244].

These negative trends in adolescent health development are a challenge to public health work, as well as to society at large [2, 9]. Explanatory factors regarding decreased subjective wellbeing and health complaints in young people have largely yet to be explored, especially the explanation behind the striking gender differences [9, 10]. A number of epidemiological studies have been conducted among Swedish children and adolescents in primary and lower secondary schools, including some in northern Sweden [5, 26, 4547], but studies among older adolescents are still scarce in the Umeå region. The aim of this study is to investigate the prevalence of perceived stress, mental and subjective health complaints – including possible differences between boys and girls – among upper secondary school adolescents in northern Sweden.


Study setting and procedure

This cross-sectional school study is part of a larger research project, Stress and Health among Youth in Northern Sweden (Umeå SHY), the purpose of which is to study stress, body and health among young people; and to develop and evaluate health-promotion intervention models within youth- and school health services. The project is a collaboration initiative between the university, the county council and the municipality in the region. The setting is the municipality of Umeå, a university city in northern Sweden with about 100 000 inhabitants. In Umeå there are both public and private upper secondary schools. At the time of the study 76% of students in the municipality attended public upper secondary schools, with 53% girls and 47% boys (School Statistics).

In 2007–2008, a classroom survey was conducted at three of the major public schools in Umeå municipality. The reason for this sample was to establish a baseline reference for a stress-management intervention conducted at the same schools. Each school offered a range of academic and vocational secondary school programmes. Vocational programmes were, and still are, directed towards work in areas such as the building-, service-, or health sectors which, not demand higher education. In contrast, academic programmes aim to prepare students for higher academic education in fields such as economics, media, the arts and the natural or social sciences.

The study was conducted in close cooperation with the school health services. Prior to the survey, the main heads of school were contacted, and granted permission for the classroom survey. All primary teachers at each educational programme and class were informed and invited to participate with their respective class. Teachers who expressed an interest were then contacted and arranged time for the survey. Before participation, students received written and oral information about the study, including information about confidentiality and the right not to participate. Information was also available to adolescents and parents on the schools’ Internet homepages. The survey was supervised by a member of the research team who also answered questions from the students. The questionnaire took about 30 minutes to complete, and was finished during a school lesson. The questionnaire was anonymous and no records or codes were obtained. The study was approved by the Regional Ethical Review Board in Umeå, Sweden (Dnr 05-045 M).

Sampling and participants

There were a total of 2721 students in the first two years of upper secondary school at the three invited schools: 53% girls and 47% boys; 69% in academic programmes and 31% in vocational programmes. For practical reasons, 1545 of the students were not available to participate in the survey because of absence due to internship outside of school (vocational programmes), or because their teachers did not answer our invitation or had no possibility of allocating time for the classroom survey. Questionnaires were thus administered to 1176 students across 49 classes. In total, 1033 of these students answered the questionnaire, which resulted in a response rate of 87.8% in the participating classes. Non-participation was due to absence from school on the day the questionnaire was administered (n = 132). Answers from six students were excluded because they fell outside the selected sample of 16–18-year-olds: 15 years (n = 2), 19 years (n = 2) and 20 years (n = 2). Five questionnaires were excluded due to missing data. In total, 1027 questionnaires were included in the analysis.


The questionnaire consisted of both established instruments and questions formulated specifically for this study. Questions covered socio-demographics, subjective health complaints, perceived stress [48], sleep, general self-rated health, medication, anxiety and depression [49, 50]. The questionnaire comprises more areas than analyzed in the present study.


Socio-demographics were described by sex, age, educational programme, family situation and country of birth.

Subjective health complaints

Subjective health complaints was measured with a 16-item symptom checklist consisting of musculoskeletal pain in different parts of the body, headache, stomach and heart symptoms, symptoms of upper respiratory infection, tiredness/fatigue, nausea, dizziness and sadness. Six-month symptom prevalence was estimated through the question: “In the past six months, have you had the following problem?” Response alternatives were “never”, “seldom”, “sometimes”, “fairly often” and “very often”. For data analysis (Chi2 tests) the response alternatives were trichotomized as “never/seldom”, “sometimes” and “fairly often/very often”.

The factor analysis on subjective health complaints yielded three factors with eigenvalues greater than one (Table 1). The first factor was termed “psychosomatic symptoms” and consisted of five items (eigenvalue 6.07, Cronbach’s alpha 0.77). The second factor was named “headache/upper respiratory infection symptoms” and consisted of four items (eigenvalue 1.33, Cronbach’s alpha 0.75). The third factor was termed “musculoskeletal pain symptoms” and consisted of four items (eigenvalue 1.16, Cronbach’s alpha 0.76) (Table 1). Selected factors with an eigenvalue greater than 1 explained 53.5% of the variance. Three items (dizziness, stomach pain and sleeping problems) did not reach factor loading > 0.5 and were therefore excluded.

Table 1 Factor analysis using a rotated component matrix for subjective health complaint variables (factor loading >0.50 is cut-off point for inclusion)

Perceived stress including sleep

Perceived stress was measured using a stress instrument developed by Lindblad et al. [48]. The instrument includes 16 items: 12 items on perceived stress and four items on sleep. Recall time was the previous weeks. Response alternatives were “never”, “seldom”, “sometimes”, “often”, and “always”. For data analysis (Chi2 tests), response alternatives were trichotomized as “never/seldom”, “sometimes” or “often/always”.

The factor analysis on perceived stress and sleep yielded three factors (Table 2). The first factor, “pressure and demands” included seven items (eigenvalue 5.97, Cronbach’s alpha 0.83). The second factor, “activation/high tempo” included five items (eigenvalue 1.41, Cronbach’s alpha 0.72). The third factor, “sleep problems” included four items (eigenvalue 1.04, Cronbach’s alpha 0.82). Selected factors with an eigenvalue greater than 1 explained 52.7% of the variance.

Table 2 Factor analysis using a rotated component matrix for perceived stress variables (factor loading >0.50 is cut-off point for inclusion)

General self-rated health

General self-rated health was measured using one statement “I perceive my health as” with four response alternatives: “very good”, “fairly good”, “not quite good” and “not good at all”. The response alternatives were dichotomized into good (“very good/fairly good”) and bad (“not quite good/not good”) health. The question about self-reported health is similar to the question used by Breidablik, Meland and Lydersen in a cross-sectional study of 16 to 20 years old Norwegian students [51].


Medication was measured using two questions. “In the past six months, have you taken antidepressants or sedatives?” with the response alternatives “yes” or “no”. “How often do you self-medicate with non-prescription painkillers?” with response alternatives “never”, “less than a few times each month”, “a few times each month”, “every week”, and “every day”. The response alternatives “every week”, and “every day” were presented as “every week”.

Anxiety and depression

Anxiety and depression were measured with the Hospital Anxiety and Depression Scale (HADS) developed by Zigmond and Snaith [49, 50]. HADS includes two 7-item sub-scales comprising seven questions each for “anxiety” and for “depression” [49]. Each question scores 0–3 points. A total score of 0–7 points indicate “no” anxiety/depression, 8–10 points indicates “possible” mild to moderate symptoms, and 11–21 points indicates a “probable” clinically significant condition of anxiety/depression. HADS has been validated in adolescents with adequate test-retest reliability and factor structure [52] and has a similar sensitivity and specificity as the General Health Questionnaire (GHQ) [53]. Good psychometric properties and a two-factor structure were shown in a Swedish adult population sample [54]. In our calculations of correlations, we used the standardized two-factor structure of “anxiety” and “depression” according to Zigmond and Snaith [49, 50] which is the most commonly used [53]. However, other factor structures are recently discussed [55].


Data were analyzed with the Statistical Package for the Social Sciences, version 18, SPSS Inc., Chicago, IL. Differences in proportions were evaluated using the Chi-squared test. Independent sample t-tests were used to compare mean values between groups.

As described above (see Measures), an exploratory factor analysis using principal component analysis with varimax rotation and Kaiser normalisation was conducted for variables on a) subjective health complaints (Table 1), and b) perceived stress including sleeping problems (Table 2). A cut-off point for inclusion was factor loading >0.50, which was the same as used by Lindblad et al. [48]. The chosen cut-off assures that the included items are clearly related to the generated factors. Cronbach’s alpha was used to test reliability and values >0.6 were considered to indicate a sufficient degree of internal consistency.

Correlations were computed using Pearson correlation coefficients. Correlations were computed between the identified factors for subjective health complaints and perceived stress, derived from the factor analysis (Tables 1 and 2), and the standardized factors/sub-scales of HADS-anxiety and HADS-depression from the HADS-instrument [49, 50]. A p-value ≤0.001 was considered significant.

Since the data has a hierarchal structure consisting of three levels – individual, class and school – a hierarchal mixed model approach was applied to measure the proportion of explained variability at each level. Variability at the individual level refers to individual characteristics, whereas variability at class- or school level refers to conditions shared by all individuals in a certain class or school (e.g. teachers, pedagogy, climate, size of class/school). A variance component, the Intraclass Correlation Coefficient (ICC), was calculated for class level and school level. Dependent variables in the mixed models were the created indexes for pressure and demands, activation/high tempo, sleep problems, psychosomatic problems, headache / upper respiratory infection symptoms, musculoskeletal pain symptoms, anxiety, and depression. One covariate, sex, was used in the models.



Group socio-demographics are described in Table 3. The majority of respondents were 16 or 17 years old (96.2%), with a mean age of 16.5 years. The majority lived with their mother and father and was born in Sweden. Of the 1027 students participating, 60.7% were girls and 39.3% were boys; 75.8% attended academic programmes and 24.2% vocational study programmes, respectively. In the academic programmes 61.8% were girls and 38.2% were boys, and within vocational programmes 56.3% were girls and 43.7% were boys. The Chi Squared test showed no significant differences between girls and boys regarding socio-demographic characteristics.

Table 3 Socio-demographics of 1027 adolescents in grades 1 and 2 in three public upper secondary schools in northern Sweden (Chi 2 test)

Subjective health complaints and general self-rated health

Being tired and feeling sad were the most common subjective health complaints (Table 4). Of the girls, 38.8% reported “fairly often/very often” feeling more tired than before compared to 20.3% of the boys (p ≤ 0.000). Of the girls 35.0% reported “fairly often/very often” sadness compared to 8.2% of the boys (p ≤ 0.000). The most common musculoskeletal problem was neck pain for girls and low back pain for boys. Three-fold more girls (33%) reported headache than boys (11.1%). Significantly more girls than boys reported symptoms of upper respiratory infection. It is noteworthy, that in contrast to the high prevalence of specific health complaints they reported, the majority of the adolescents rated their overall health as “good” (very good/fairly good), with significantly more boys than girls rating their health as “good”. Almost 20% of the girls took over-the-counter pain medicines every week. The use of antidepressants or sedatives was lower, with no significant differences between girls and boys.

Table 4 Prevalence (%) of subjective health complaints expressed as psychosomatic symptoms, headache and upper infection symptoms and musculoskeletal pain symptoms in the last six months in girls and boys

Perceived stress

For all of the stress variables, more girls than boys reported significantly more perceived stress (Table 5). More than half of boys and girls “often/always” perceived demands from school as stressful, and many girls also perceived high inner demands in that way, while few girls and boys perceived demands from home as stressful. Over half (54.7%) of the girls never felt really free, and there were more girls than boys who reported doing many things at the same time. Many girls reported eating rapidly even when they did not have to, and more girls than boys had difficulty in relaxing. Difficulty in falling asleep at night and helplessness were reported more often among girls than boys.

Table 5 Prevalence (%) of perceived stress expressed as pressure and demands, activation/high tempo and sleep problems during the previous weeks in girls and boys

Anxiety and depression

Overall, these adolescents scored higher on the HADS-anxiety scale than on the HADS-depression scale (Table 6). Of the girls, 31.5% scored as “possible” and 27% as “probable” anxiety compared to 21.1% with “possible” and 8.7% with “probable” anxiety among the boys. According to the independent sample t-test, sex/gender differences in signs of depression were small and non-significant. Of the girls, 10% scored as “possible” and 4.1% as “probable” depression compared to 7.9% and 2.5%, respectively, among the boys.

Table 6 Prevalence (%) of self-reported anxiety and depression according to the Hospital Anxiety and Depression Scale (mean, SD) in girls and boys (independent sample t-test)


Subjective health complaints correlated significantly with all factors of perceived stress, anxiety and depression, and vice versa (see Correlation matrix, Table 7). The strongest correlations were found between the factors “psychosomatic complaints” and “anxiety” (r = 0.71), and between perceived stress expressed as “pressure and demands” and “anxiety” (r = 0.71). Perceived stress in the form of “pressure and demands” was also significantly correlated with “activation/high tempo” (r = 0.68), “psychosomatic problems” (r = 0.63), “depression” (r = 0.52), sleep problems (r = 0.48), “headache/upper respiratory infections” (r = 0.48) and “musculoskeletal pain symptoms” (r = 0.44). “Sleep problems” strongly correlated with “psychosomatic problems” (r = 0.56), “anxiety” (r = 0.53) and stress expressed as “activation/high tempo” (r = 0.50). The psychological factors of “anxiety” and “depression” from HADS were also significantly correlated to each other (r = 0.56).

Table 7 Correlations between factors/indexes of perceived stress (pressure and demands; activation/high tempo), sleep, subjective health complaints (headache/upper respiratory infections; musculoskeletal pain), anxiety and depression in adolescents (Pearson correlation coefficients)

Hierarchal mixed model analysis

According to the hierarchal mixed model analysis 96–100% of the total variability in the outcome indexes can be explained by individual-level characteristics, such as sex/gender, and not by factors at class- or school-level. The class level and the school level explained 0.6–3.8% (ICC 0.006–0.038) and 0–2.3% (ICC 0–0.023), respectively. Differences between boys and girls remained statistically significant in all outcome indexes even after calculating the proportion of variance at all hierarchal levels.


The main finding in this study among older adolescents is the high prevalence of subjective health complaints and perceived stress, especially among the girls. For nearly all complaints, the proportion of girls reporting “often” or “always” was two to three times higher than among boys. Perceived stress was associated with both physical and psychosomatic symptoms, including sleep problems and psychological symptoms of anxiety and depression. However, the strongest associations were found between perceived stress, psychosomatic symptoms and anxiety. The consistent pattern of gender differences in subjective health and physical and psychological health complaints are in line with findings from several previous national and international studies on young adolescent subjective health [710, 19, 35]. The results of our study indicate that negative trends in subjective health among girls that start in early adolescence seem to persist in late adolescence. It is noteworthy that although there were high levels of subjective health complaints and perceived stress, the majority (83.6%) rated their overall health as “fairly good/very good”. This is similar to a Norwegian study where 88% of the students (16–20 years) rated their health as “good” or “very good” [51].The interpretation of this might be that the symptoms reported, although frequent, are not severe enough to have a significant negative effect on “health”, as characterized by the adolescents. Alternatively, adolescents may interpret “good health” simply as “not being physically sick”. Their definition of health may not include their perceptions of general wellbeing or mental illness. In comparison, Breidablik et al. [51] suggest that adolescents incorporate a broad health definition when describing their health, and that their constructs of self-rated health are associated with several medical, social and psychological background factors. Since self-rated health is seen as an important health indicator, both positive and negative self-rated health during adolescence need to be further studied [51, 56, 57].

Another finding was that nearly 63.6% of the girls and 38.5% of the boys “often” or “always” perceived as stressful, forms of high pressures and demands from school. The proportion perceiving demands from home in this way was much lower. Thus, the school environment and/or school-work is an important possible stressor and this finding is in line with earlier studies on school-related stress and health [13, 24, 58]. Perceptions of high self-imposed demands and inner pressure were common, especially among the girls. Similar perceptions of high self-imposed demands and distress were illuminated in a qualitative study comprising young women, aged 16–25 years, who had sought help for stress-related problems [31]. More girls than boys reported helplessness, which can be interpreted as a marker for a low degree of control and perceived inability to handle their situation. This may indicate poor social support. This is consistent with the definition of increased stress as a situation or condition where perceived demands exceed perceived resources and coping abilities [59]. In addition, it reveals lack of individual power and control, which seems to be a key factor relating to girls’ self-esteem and health [58, 60].

Also according with our findings, perceived high demands in school and high responsibility-taking have been highlighted as possible stressors and contributors to mental strain in adolescent girls [31, 34]. Qualitative studies have illuminated how boys experience fewer demands and less pressure to perform well, and do not report multiple demands as often as girls do [60]. Furthermore, responsibility-taking is interpreted as a power-negotiation strategy for girls in school [60]. Girls seem to take a great deal responsibility for schoolwork as well for other concurrent duties in life [31]. Several studies, point to the importance of balance between demands, control and support for adolescent health and well-being [19, 58].

One striking result was the high prevalence of anxiety among both boys and girls, although this was more pronounced among girls. In comparison with a control sample of secondary school girls in a study by Blom et al. [61], the girls in our study had a higher mean value of anxiety. Increased levels of anxiety, as measured by the HAD-scale, may be an aspect of high stress arousal, as this correlates well with the stress indexes of “pressure and demands“ and “activation/high tempo”. Anxiety also correlates with the psychosomatic symptom index consisting of both mental and physical symptoms. This relation between symptoms can be interpreted as a starting-point for stress-related disorders. The rate of depression was lower than that of anxiety. It is possible that the cut-off of eight for possible depression was set too high. White et al. [52] recommend cut-offs of seven (possible mild/moderate depression) and nine (probable clinically significant depression) to capture depression in early stages among adolescents. Reporting feeling tired and sad may be an expression of a depressive mood and warrants attention to the possible development of more severe stress-related disorders and mental ill-health. Aalto-Setälä et al. [62] examined mental health risks in adolescence and found that girls were more likely to be distressed than boys, and that high trait anxiety and somatic symptom scores among adolescents predicted mental distress among women. A longitudinal study [63] found that perceived nervousness and anxiety were strong predictors of premature mortality and psychiatric disorders. Anxiety disorders most typically have their onset in childhood or adolescence [28], and are therefore important to capture in early stages.

Consequently, the strong associations between pressures and demands, activation/high tempo and physical and psychological symptoms must be interpreted as a negative health pattern. Moreover these findings are emphasized by the presence of sleeping problems, as stress impairs sleep. Our results show slightly higher prevalence of sleep-onset difficulties than a study of 15-year olds in Norway [41]. However, that study adressed younger adolescents and may have used a stricter cut-off for sleep-onset difficulties. These signs of sleep-related problems may be related to mental health [64], but also to psycho-physiological strain and theories of allostatic load [65], as these processes may result in chronic deterioration of cardiovascular, immune, gastrointestinal and cognitive systems, in the long run. Long-term effects of this type of strain in young age groups are less understood, although relationships between psychosocial stress in childhood and increased stress-responses have been found [66]. Moreover, pain problems and sleeping disturbances starting during childhood and adolescence tend to persist into adulthood [39, 40]. In line with the present study, recent studies have addressed severe stress-related disorders of school-burnout [13] and chronic stress [19] among older adolescents.

One key question is why girls report more pressures and demands, stress, and health complaints than boys do. Explanations suggested on both individual and societal levels, include Hyde et al.’s [67] model in which biological, affective, and cognitive vulnerabilities in females interact with negative life-events. Pubertal timing has been investigated in relation to emotional distress in girls [68] and early puberty has been linked to various problem-behaviors [69]. Stattin et al. [69] emphasize the role of contextual mechanisms such as peer-socialization in understanding external problem behavior. Earlier explanatory models, such as the symptom perception theory, emphasize gender differences according to how individuals pay attention to, define and react to symptoms [35, 70]; whereas interpersonal stress models focus on girls’ vulnerability to emotional distress connected to social relationships [71].

In contrast, socially-oriented models highlight the importance of contextualizing adolescent distress, including social aspects of performing and constructing gender, and also address unequal power relations [31, 34, 60]. Girls may develop multiple stress complaints as a result of psychosocial stressors in the environment. The transition to adulthood is a period when adolescent girls seem to encounter socially shaped contradicting expectations and rapidly expanding roles that may be stressful and difficult to manage, particularly if social support is inadequate [31]. Furthermore, Maclean et al. [72] discuss differences in symptom-reporting in relation to gender stereotypes, and conclude that according to norms of masculinity, boys seem reluctant to report health complaints, whereas girls have more complex patterns of symptom-reporting. They also point to similarities, since both boys and girls felt pressured to react to symptoms in a “stoic” way. Hagquist [6] proposes the inclusion of both internalizing and externalizing problems when measuring adolescent mental health, because boys tend to report more externalizing problems and girls more internalizing problems. However, these complex gender-related patterns need to be further addressed. Future studies should pay attention to the balance between gender-related demands, perceived control, and social support, particularly in the school environment, in order to prevent negative strain and stress-related ill-health.

Limitations and strengths

This study has both a number of limitations, and strengths that are relevant to the interpretation and robustness of the results. Firstly, the cross-sectional design has its given limitations. Since cross-sectional data represent a “snap-shot in time”, our results cannot indicate (one-way directional) causality or symptom development over time. Accordingly, the present results do not explain whether perceived stress caused health complaints, or vice versa. Instead, this study shows significant gender differences in prevalence of perceived stress and interesting (bi-directional) symptom patterns. However, based on results from other studies [24, 73, 74] and our own clinical experience, we hypothesize that perceived stress and demands may be important explanatory factors in the reported physical/psychological symptoms. Associations between perceived stressors and demands and physical/psychological symptoms are findings of importance to worth further in-depth attention in future studies. Little is still known about long-term consequences of stress and gendered patterns of “school burnout” at young ages [13, 19, 31].

Another element of uncertainty is how representative the studied group is of a broader population of adolescents, as the sample was limited to three schools in northern Sweden. There was an overrepresentation of girls, particularly in academic programmes; and an underrepresentation of boys, particularly in vocational programmes, as all of the students at the invited schools were not approachable at the time of the survey. The reasons for this were firstly that the study was performed within the constraints of a school setting, and secondly, that we chose to conduct a class-room survey. Teachers had difficulties allocating time for the survey due to a tight schedule, and potential participants at vocational programmes were not approachable because of work placement periods. Furthermore, non-participants could not be reached and analysis of the non-participants was not possible as, for ethical reasons, no record of respondent names was compiled.

However, even given these weaknesses, the participating students represented a relatively large sample of 16–18 years old boys and girls from 49 different classes attending a wide range of educational programmes, both vocational and academic, at the largest public upper secondary schools in the geographical area. A strength of the study that may be connected to the class-room procedure, is its high response rate and low level of missing data. An additional strength is that the questionnaire covered a wide range of physical and mental complaints, including perceived stress, sleep, pain, anxiety and depression – symptoms that are found to be potential predictors for development of prolonged problems or psychiatric problems [39, 40, 4244]. The use of an established instrument for measuring anxiety and depression contributed to the value of the knowledge derived.


In conclusion, this study of older adolescents found significant differences between boys and girls in their subjective health and perceived stress. Both boys and girls experienced stress in the form of high pressure and demands from school which were strongly associated with psychosomatic symptoms and anxiety. The results may indicate a trend toward increased symptoms of severe stress-related disorders, especially among girls. Furthermore, perceived stress, pressure and demands may be important explanatory factors. However, further exploration is needed of how cultural norms and gender-related expectations, including those of the school environment, affect adolescent stress and health.


  1. 1.

    Patel V, Flisher AJ, Hetrick S, McGorry P: Mental health of young people: a global public-health challenge. Lancet. 2007, 369 (9569): 1302-1313. 10.1016/S0140-6736(07)60368-7.

    Article  PubMed  Google Scholar 

  2. 2.

    Ravens-Sieberer U, Torsheim T, Hetland J, Vollebergh W, Cavallo F, Jericek H, Alikasifoglu M, Välimaa R, Ottova V, Erhart M, et al: Subjective health, symptom load and quality of life of children and adolescents in Europe. Int J Public Health. 2009, 54: 151-159. 10.1007/s00038-009-5406-8.

    Article  PubMed  Google Scholar 

  3. 3.

    Patton GC, Viner R: Pubertal transitions in health. Lancet. 2007, 369 (9567): 1130-1139. 10.1016/S0140-6736(07)60366-3.

    Article  PubMed  Google Scholar 

  4. 4.

    Gore FM, Bloem PJN, Patton GC, Ferguson J, Joseph V, Coffey C, Sawyer SM, Mathers CD: Global burden of disease in young people aged 10–24 years: a systematic analysis. Lancet. 2011, 377 (9783): 2093-2102. 10.1016/S0140-6736(11)60512-6.

    Article  PubMed  Google Scholar 

  5. 5.

    Petersen S, Bergström E, Cederblad M, Ivarsson A, Köhler L, Rydell A-M, Stenbeck M, Sundelin C, Hägglöf B: Barns och ungdomars psykiska hälsa i Sverige. En systematisk litteraturöversikt med tonvikt på förändringar över tid [Trends in Child and Adolescent Mental Health in Sweden. A systematic review]. 2010, Stockholm: The Royal Swedish Academy of Sciences, The Health Committee

    Google Scholar 

  6. 6.

    Hagquist C: Discrepant Trends in Mental Health Complaints Among Younger and Older Adolescents in Sweden: An Analysis of WHO Data 1985–2005. J Adolescent Health. 2010, 46 (3): 258-264. 10.1016/j.jadohealth.2009.07.003.

    Article  Google Scholar 

  7. 7.

    National Board of Health and Welfare: Public Health Report. 2009, Stockholm: The Centre for Epidemiology

    Google Scholar 

  8. 8.

    Friberg P, Hagquist C, Osika W: Self-perceived psychosomatic health in Swedish children, adolescents and young adults: an internet-based survey over time. BMJ Open. 2012, 2 (e000681): 1-6. 10.1136/bmjopen-2011-000681.

    Google Scholar 

  9. 9.

    Hagquist C: Psychosomatic health problems among adolescents in Sweden–are the time trends gender related?. Eur J Public Health. 2009, 19 (3): 331-336. 10.1093/eurpub/ckp031.

    Article  PubMed  Google Scholar 

  10. 10.

    Torsheim T, Ravens-Sieberer U, Hetland J, Välimaa R, Danielson M, Overpeck M: Cross-national variation of gender differences in adolescent subjective health in Europe and North America. Soc Sci Med. 2006, 62 (4): 815-827. 10.1016/j.socscimed.2005.06.047.

    Article  PubMed  Google Scholar 

  11. 11.

    Michel G, Bisegger C, Fuhr D, Abel T, The Kidscreen Group: Age and gender differences in health-related quality of life of children and adolescents in Europe: a multilevel analysis. Qual Life Res. 2009, 18 (9): 1147-1157. 10.1007/s11136-009-9538-3.

    Article  PubMed  Google Scholar 

  12. 12.

    Haugland S, Wold B: Subjective health complaints in adolescence–Reliability and validity of survey methods. J Adolescence. 2001, 24 (5): 611-624. 10.1006/jado.2000.0393.

    CAS  Article  Google Scholar 

  13. 13.

    Salmela-Aro K, Tynkkynen L: Gendered pathways in school burnout among adolescents. J Adolescence. 2012, 35 (4): 929-939. 10.1016/j.adolescence.2012.01.001.

    Article  Google Scholar 

  14. 14.

    Collishaw S, Maughan B, Goodman R, Pickles A: Time trends in adolescent mental health. J Child Psychol Psyc. 2004, 45 (8): 1350-1362. 10.1111/j.1469-7610.2004.00335.x.

    Article  Google Scholar 

  15. 15.

    Maughan B, Collishaw S, Meltzer H, Goodman R: Recent trends in UK child and adolescent mental health. Soc Psych Psych Epid. 2008, 43 (4): 305-310. 10.1007/s00127-008-0310-8.

    Article  Google Scholar 

  16. 16.

    Tick N, van der Ende J, Verhulst F: Ten-year trends in self-reported emotional and behavioral problems of Dutch adolescents. Soc Psych Psych Epid. 2008, 43 (5): 349-355. 10.1007/s00127-008-0315-3.

    Article  Google Scholar 

  17. 17.

    SOU: Ungdomar, stress och psykisk ohälsa: Analyser och förslag till åtgärder. Slutbetänkande. Utredningen om ungdomars psykiska hälsa [Young people, stress and mental health]. 2006, Stockholm: Swedish Government Official Report

    Google Scholar 

  18. 18.

    Statistics Sweden: Undersökning av levnadsförhållanden bland barn 2009 [Survey of living conditions among children, 2009]. 2009, SCB: Stockholm

    Google Scholar 

  19. 19.

    Schraml K, Perski A, Grossi G, Simonsson-Sarnecki M: Stress symptoms among adolescents: The role of subjective psychosocial conditions, lifestyle, and self-esteem. J Adolescence. 2011, 34 (5): 987-996. 10.1016/j.adolescence.2010.11.010.

    Article  Google Scholar 

  20. 20.

    Arnett JJ: Emerging adulthood: A theory of development from the late teens through the twenties. Am Psychol. 2000, 55 (5): 469-480.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Byrne DG, Davenport SC, Mazanov J: Profiles of adolescent stress: The development of the adolescent stress questionnaire (ASQ). J Adolescence. 2007, 30 (3): 393-416. 10.1016/j.adolescence.2006.04.004.

    CAS  Article  Google Scholar 

  22. 22.

    Arnett JJ: Adolescent storm and stress, reconsidered. Am Psychol. 1999, 54 (5): 317-326.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Modin B, Ostberg V, Almquist Y: Childhood peer status and adult susceptibility to anxiety and depression. A 30-year hospital follow-up. J Abnorm Child Psychol. 2010, 39: 187-199.

    Article  Google Scholar 

  24. 24.

    Hjern A, Alfven G, Östberg V: School stressors, psychological complaints and psychosomatic pain. Acta Paediatr. 2008, 97 (1): 112-117.

    Article  PubMed  Google Scholar 

  25. 25.

    Jablonska B, Lindblad F, Ostberg V, Lindberg L, Rasmussen F, Hjern A: A national cohort study of parental socioeconomic status and non-fatal suicidal behaviour-the mediating role of school performance. BMC Publ Health. 2012, 12 (1): 17-10.1186/1471-2458-12-17.

    Article  Google Scholar 

  26. 26.

    Nygren K, Bergstrom E, Janlert U, Nygren L: Parents matter - but relations to parents do not explain gender differences in self-reported health in adolescents. Scand J Caring Sci. 2012, 26 (4): 643-653. 10.1111/j.1471-6712.2012.00973.x.

    Article  PubMed  Google Scholar 

  27. 27.

    Wiklund M, Malmgren-Olsson E-B, Bengs C, Öhman A: “He messed me up”: Swedish adolescent girls’ experiences of gender-related partner violence and its consequences over time. Violence Against Wom. 2010, 16 (2): 207-232. 10.1177/1077801209356347.

    Article  Google Scholar 

  28. 28.

    Kessler R, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE: Lifetime prevalence and age-of-onset distributions of dsm-iv disorders in the national comorbidity survey replication. Arch Gen Psychiat. 2005, 62 (6): 593-602. 10.1001/archpsyc.62.6.593.

    Article  PubMed  Google Scholar 

  29. 29.

    Frisén A: Measuring health-related quality of life in adolescence. Acta Paediatr. 2007, 96 (7): 963-968. 10.1111/j.1651-2227.2007.00333.x.

    Article  PubMed  Google Scholar 

  30. 30.

    Frisén A, Bjarnelind S: Health-related quality of life and bullying in adolescence. Acta Paediatr. 2010, 99 (4): 597-603. 10.1111/j.1651-2227.2009.01664.x.

    Article  PubMed  Google Scholar 

  31. 31.

    Wiklund M, Bengs C, Malmgren-Olsson EB, Öhman A: Young women facing multiple and intersecting stressors of modernity, gender orders and youth. Soc Sci Med. 2010, 71 (9): 1567-1575. 10.1016/j.socscimed.2010.08.004.

    Article  PubMed  Google Scholar 

  32. 32.

    Furlong A: Handbook of youth and young adulthood: new perspectives and agendas. 2009, Milton Park, Abingdon, Oxon: Routledge

    Google Scholar 

  33. 33.

    Landstedt E, Gadin KG: Seventeen and stressed - Do gender and class matter?. Health Sociol Rev. 2012, 21 (1): 82-98. 10.5172/hesr.2012.21.1.82.

    Article  Google Scholar 

  34. 34.

    Landstedt E, Asplund K, Gillander Gådin K: Understanding adolescent mental health: the influence of social processes, doing gender and gendered power relations. Sociol Health Ill. 2009, 31 (7): 962-978. 10.1111/j.1467-9566.2009.01170.x.

    Article  Google Scholar 

  35. 35.

    Hetland J, Torsheim T, Aaro LE: Subjective health complaints in adolescence: dimensional structure and variation across gender and age. Scand J Public Health. 2002, 30 (3): 223-230. 10.1080/140349402320290953.

    Article  PubMed  Google Scholar 

  36. 36.

    Torsheim T, Wold B: School-related stress, support, and subjective health complaints among early adolescents: a multilevel approach. J Adolescence. 2001, 24 (6): 701-713. 10.1006/jado.2001.0440.

    CAS  Article  Google Scholar 

  37. 37.

    Haugland S, Wold B, Stevenson J, Aaroe L, Woynarowska B: Subjective health complaints in adolescence. Eur J Public Health. 2001, 11 (1): 4-10. 10.1093/eurpub/11.1.4.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Petersen S, Hagglöf BL, Bergström EI: Impaired Health-Related Quality of Life in Children With Recurrent Pain. Pediatrics. 2009, 124 (4): e759-e767. 10.1542/peds.2008-1546.

    Article  PubMed  Google Scholar 

  39. 39.

    Brattberg G: Do pain problems in young school children persist into early adulthood? A 13-year follow-up. Eur J Pain. 2004, 8 (3): 187-199. 10.1016/j.ejpain.2003.08.001.

    Article  PubMed  Google Scholar 

  40. 40.

    Dregan A, Armstrong D: Adolescence Sleep Disturbances as Predictors of Adulthood Sleep Disturbances - A Cohort Study. J Adolescent Health. 2010, 46 (5): 482-487. 10.1016/j.jadohealth.2009.11.197.

    Article  Google Scholar 

  41. 41.

    Pallesen S, Hetland J, Sivertsen B, Samdal O, Torsheim T, Nordhus IH: Time trends in sleep-onset difficulties among Norwegian adolescents: 1983—2005. Scand J Public Health. 2008, 36 (8): 889-895. 10.1177/1403494808095953.

    Article  PubMed  Google Scholar 

  42. 42.

    Baglioni C, Battagliese G, Feige B, Spiegelhalder K, Nissen C, Voderholzer U, Lombardo C, Riemann D: Insomnia as a predictor of depression: A meta-analytic evaluation of longitudinal epidemiological studies. J Affect Disorders. 2011, 135 (1–3): 10-19.

    Article  PubMed  Google Scholar 

  43. 43.

    Clark C, Rodgers B, Caldwell T, Power C, Stansfeld S: Childhood and adulthood psychological ill health as predictors of midlife affective and anxiety disorders: The 1958 british birth cohort. Arch Gen Psychiat. 2007, 64 (6): 668-678. 10.1001/archpsyc.64.6.668.

    Article  PubMed  Google Scholar 

  44. 44.

    Fergusson D, Horwood L, Ridder EM, Beautrais AL: Subthreshold depression in adolescence and mental health outcomes in adulthood. Arch Gen Psychiat. 2005, 62 (1): 66-72. 10.1001/archpsyc.62.1.66.

    Article  PubMed  Google Scholar 

  45. 45.

    Nygren K, Janlert U, Nygren L: Norm compliance and self-reported health among Swedish adolescents. Scand J Public Health. 2011, 39 (1): 44-50. 10.1177/1403494810389846.

    Article  PubMed  Google Scholar 

  46. 46.

    Petersen S, Bergström E, Brulin C: High prevalence of tiredness and pain in young schoolchildren. Scand J Public Health. 2003, 31 (5): 367-374. 10.1080/14034940210165064.

    Article  PubMed  Google Scholar 

  47. 47.

    Petersen S, Brulin C, Bergström E: Recurrent pain symptoms in young schoolchildren are often multiple. Pain. 2006, 121 (1–2): 145-150.

    Article  PubMed  Google Scholar 

  48. 48.

    Lindblad F, Backman L, Åkerstedt T: Immigrant girls perceive less stress. Acta Paediatr. 2008, 97 (7): 889-893. 10.1111/j.1651-2227.2008.00857.x.

    CAS  Article  PubMed  Google Scholar 

  49. 49.

    Snaith RP: The Hospital Anxiety And Depression Scale. Health Qual Life Out. 2003, 1 (1): 29-10.1186/1477-7525-1-29.

    Article  Google Scholar 

  50. 50.

    Zigmond AS, Snaith RP: The Hospital Anxiety and Depression Scale. Acta Psychiat Scand. 1983, 67 (6): 361-370. 10.1111/j.1600-0447.1983.tb09716.x.

    CAS  Article  PubMed  Google Scholar 

  51. 51.

    Breidablik H-J, Meland E, Lydersen S: Self-rated health in adolescence: A multifactorial composite. Scand J Public Health. 2008, 36 (1): 12-20. 10.1177/1403494807085306.

    Article  PubMed  Google Scholar 

  52. 52.

    White D, Leach C, Sims R, Atkinson M, Cottrell D: Validation of the Hospital Anxiety and Depression Scale for use with adolescents. Br J Psychiatry. 1999, 175: 452-454. 10.1192/bjp.175.5.452.

    CAS  Article  PubMed  Google Scholar 

  53. 53.

    Bjelland I, Dahl AA, Haug TT, Neckelmann D: The validity of the Hospital Anxiety and Depression Scale: An updated literature review. J Psychosom Res. 2002, 52 (2): 69-77. 10.1016/S0022-3999(01)00296-3.

    Article  PubMed  Google Scholar 

  54. 54.

    Lisspers J, Nygren A, Söderman E: Hospital Anxiety and Depression Scale (HAD): some psychometric data for a Swedish sample. Acta Psychiat Scand. 1997, 96 (4): 281-286. 10.1111/j.1600-0447.1997.tb10164.x.

    CAS  Article  PubMed  Google Scholar 

  55. 55.

    Cosco TD, Doyle F, Ward M, McGee H: Latent structure of the Hospital Anxiety And Depression Scale: A 10-year systematic review. J Psychosom Res. 2012, 72 (3): 180-184. 10.1016/j.jpsychores.2011.06.008.

    Article  PubMed  Google Scholar 

  56. 56.

    Manor O, Matthews S, Power C: Self-rated health and limiting longstanding illness: inter-relationships with morbidity in early adulthood. Int J Epidemiol. 2001, 30 (3): 600-607. 10.1093/ije/30.3.600.

    CAS  Article  PubMed  Google Scholar 

  57. 57.

    Jerdén L, Burell G, Stenlund H, Weinehall L, Bergström E: Gender Differences and Predictors of Self-Rated Health Development Among Swedish Adolescents. J Adolescent Health. 2011, 48 (2): 143-150. 10.1016/j.jadohealth.2010.06.005.

    Article  Google Scholar 

  58. 58.

    Gillander Gådin K: School-related health--a cross-sectional study among young boys and girls. Int J Health Serv. 2000, 30 (4): 797-10.2190/K3EN-EAY9-GDTD-002Q.

    Article  Google Scholar 

  59. 59.

    Lazarus RS, Folkman S: Stress, Appraisal and Coping. 1984, New York: Guilford

    Google Scholar 

  60. 60.

    Gillander Gådin K, Hammarstrom A: ‘We won’t let them keep us quiet …’ Gendered strategies in the negotiation of power--implications for pupils’ health and school health promotion. Health Promot Int. 2000, 15 (4): 303-311. 10.1093/heapro/15.4.303.

    Article  Google Scholar 

  61. 61.

    Blom EH, Larsson JO, Serlachius E, Ingvar M: The differentiation between depressive and anxious adolescent females and controls by behavioural self-rating scales. J Affect Disord. 2010, 122 (3): 232-240. 10.1016/j.jad.2009.07.006.

    Article  PubMed  Google Scholar 

  62. 62.

    Aalto-Setala T, Poikolainen K, Tuulio-Henriksson A, Marttunen M, Lonnqvist J: Predictors of mental distress in early adulthood: a five-year follow-up of 709 high-school students. Nord J Psychiatry. 2002, 56 (2): 121-125. 10.1080/080394802753617935.

    Article  PubMed  Google Scholar 

  63. 63.

    Ringbäck Weitoft G, Rosén M: Is perceived nervousness and anxiety a predictor of premature mortality and severe morbidity? A longitudinal follow up of the Swedish survey of living conditions. J Epidemiol Commun H. 2005, 59 (9): 794-798. 10.1136/jech.2005.033076.

    Article  Google Scholar 

  64. 64.

    Saxvig IW, Pallesen S, Wilhelmsen-Langeland A, Molde H, Bjorvatn B: Prevalence and correlates of delayed sleep phase in high school students. Sleep Med. 2012, 13 (2): 193-199. 10.1016/j.sleep.2011.10.024.

    Article  PubMed  Google Scholar 

  65. 65.

    McEwen BS: Protective and Damaging Effects of Stress Mediators. N Engl J Med. 1998, 338 (3): 171-179. 10.1056/NEJM199801153380307.

    CAS  Article  PubMed  Google Scholar 

  66. 66.

    Gustafsson P: Psychosocial stress, mental health and salivary cortisol in children and adolescents. 2008, Linköping: Linköping university

    Google Scholar 

  67. 67.

    Hyde JS, Mezulis AH, Abramson LY: The ABCs of depression: integrating affective, biological, and cognitive models to explain the emergence of the gender difference in depression. Psychol Rev. 2008, 115 (2): 291-313.

    Article  PubMed  Google Scholar 

  68. 68.

    Lien L, Dalgard F, Heyerdahl S, Thoresen M, Bjertness E: The relationship between age of menarche and mental distress in Norwegian adolescent girls and girls from different immigrant groups in Norway: results from an urban city cross-sectional survey. Soc Sci Med. 2006, 63 (2): 285-295. 10.1016/j.socscimed.2006.01.003.

    Article  PubMed  Google Scholar 

  69. 69.

    Stattin H, Kerr M, Skoog T: Early Pubertal Timing and Girls’ Problem Behavior: Integrating Two Hypotheses. J Youth Adolescence. 2011, 40 (10): 1271-1287. 10.1007/s10964-011-9696-9.

    Article  Google Scholar 

  70. 70.

    van Wijk CM, Kolk AM: Sex differences in physical symptoms: the contribution of symptom perception theory. Soc Sci Med. 1997, 45 (2): 231-246. 10.1016/S0277-9536(96)00340-1.

    CAS  Article  PubMed  Google Scholar 

  71. 71.

    Rudolph KD: Gender differences in emotional responses to interpersonal stress during adolescence. J Adolesc Health. 2002, 30 (4 Suppl): 3-13.

    Article  PubMed  Google Scholar 

  72. 72.

    Maclean A, Sweeting H, Hunt K: ‘Rules’ for boys, ‘guidelines’ for girls: Gender differences in symptom reporting during childhood and adolescence. Soc Sci Med. 2010, 70 (4): 597-604. 10.1016/j.socscimed.2009.10.042.

    Article  PubMed  Google Scholar 

  73. 73.

    Alfven G, Östberg V, Hjern A: Stressor, perceived stress and recurrent pain in Swedish schoolchildren. J Psychosom Res. 2008, 65 (4): 381-387. 10.1016/j.jpsychores.2008.07.004.

    Article  PubMed  Google Scholar 

  74. 74.

    Modin B, Östberg V, Toivanen S, Sundell K: Psychosocial working conditions, school sense of coherence and subjective health complaints. A multilevel analysis of ninth grade pupils in the Stockholm area. J Adolescence. 2011, 34 (1): 129-139. 10.1016/j.adolescence.2010.01.004.

    Article  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references


We thank all survey participants, school staff, project assistants, and the School Health Services, Umeå. We also thank statistician Hans Stenlund for his help with the statistics. Financial support was provided by the Västerbotten County Council, the Swedish Research Institute (no. 521-2005-4848), Umeå Municipality (TILDA), and the Umeå Centre for Global Health Research with grants from the Swedish Council of Working Life and Social Research (no. 2006–1512), Umeå University, Sweden.

Author information



Corresponding author

Correspondence to Maria Wiklund.

Additional information

Competing interests

No competing interests.

Authors’ contributions

All authors contributed to the study’s design, the interpretation of data and to the critical revision of the manuscript. MW, EBMO, AÖ and AFW were responsible for contacts with the schools and school-health services, as well as for the data-collection procedure. MW, EBMO and AFW prepared the data, performed the statistical analysis, and drafted the manuscript. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Wiklund, M., Malmgren-Olsson, EB., Öhman, A. et al. Subjective health complaints in older adolescents are related to perceived stress, anxiety and gender – a cross-sectional school study in Northern Sweden. BMC Public Health 12, 993 (2012).

Download citation


  • Sweden
  • Adolescent
  • School students
  • Self-reported health
  • Psychosomatic
  • Stress
  • Pain
  • Mental health
  • Anxiety
  • Depression