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Social support: an important factor for quality of life in women with hirsutism



Women with hirsutism have reported imparied health and health-related quality of life (HRQoL). Social support is a factor that might increase HRQoL in chronic diseases, but little is known about this association among women with hirsutism.


The aim of the study was to describe social support and explore its association with HRQoL among women with hirsutism. A further aim was to compare HRQoL in women with hirsutism with a Swedish normal population.


A questionnaire including socio-demographic questions, Short-Form Health Survey (SF-36), the Multidimensional Scale of Perceived Social Support (MSPSS), and a self-estimation of hairiness using the Ferriman-Gallway scale (F-G scale) was answered by 127 women with hirsutism.


Multiple regression analyses showed significant associations between social support and all health dimensions in the SF-36, also after the model was adjusted for age, hairiness and body mass index. Compared to the normal Swedish population, women with hirsutism reported significantly lower HRQoL in all dimensions of the SF-36 (p < 0.01).


There is a significant positive association between social support and HRQoL, demonstrating its importance for the ability to adapt to problems associated with hirsutism. As women with hirsutism reported poorer HRQoL compared to the normal population, social support may be a factor to consider in clinical practice.


It is known that chronic skin diseases can be accompanied by psychological and social disabilities [1]-[3]. One such disease is hirsutism, which means a woman having excessive terminal hair in a male pattern distribution. It is caused by elevated androgen exposure to the hair follicles [4]-[6], mostly because of polycystic ovary syndrome (PCOS) [7], or by an increased sensitivity to normal levels of circulating androgens, i.e., idiopathic hirsutism. Hirsutism has been reported to have a negative effect on health-related quality of life (HRQoL) [8]-[11], and anxiety and depression is more common than among women without hirsutism [12]. In women with PCOS, changes due to PCOS might contribute to psychological morbidity [10],[13]-[19] and a feeling of being stigmatized [20].

Adaptation to living with a chronic disease encompasses a range of phenomena, e.g., HRQoL, emotional well-being, acceptance of a life with a chronic disease and finding a way of participating in society [21]. Social support could be one contributor to the adaption to a life with a chronic disease and a factor that affects the outcome of HRQoL. Furthermore, it is known to influence outcomes such as anxiety and depression in a variety of chronic diseases [22]-[24]. Social support is commonly used as a general concept that includes some kind of relationship transactions between individuals. Perceived social support seems to be most important [25] and can be emotional, instrumental (practical), informative, or appraisal [26]. It could be that the quality of the social support among women with hirsutism determines how well they can cope with their situation and adapt in social situations.

The association between social support and HRQoL in skin diseases has only been studied to a minor extent [21],[27], and to our knowledge, not at all in women with hirsutism. The aim of the present study was therefore to describe social support and explore its association with HRQoL among women with hirsutism. A further aim was to compare HRQoL in women with hirsutism with a Swedish normal population.



Women who, according to their medical records, were diagnosed with hirsutism at the departments of dermatology in Malmö (n = 100) and Örebro (n = 80), or had on-going treatment for hirsutism (n = 20) at a private dermatological clinic in Uppsala were invited to participate in the study. A questionnaire was sent with one reminder to the 200 identified women, of whom 132 responded (66%). Five women were excluded because of wrong diagnosis (which was found in the questionnaire), psychiatric illness or failure to complete the questionnaires. The study sample finally consisted of 127 women. It was possible to identify 55 of the non-respondents. Reasons given for not participating were: difficult language in the questionnaire (n = 11), forgotten to answer (n = 11), too private questions (n = 15), did not have time to fill in the questionnaire (n = 5), no problems anymore (n = 4), do not want to answer (n = 1), and no reason given (n = 8).

A Swedish normal sample was recruited from a nationwide survey based on a questionnaire on subjectively perceived health, quality of life (SF-36), and use of medication [28]. Sweden keeps a population register based on the unique personal number held by all people who are legal residents in the country. The questionnaire was sent by mail to a random sample from this register, i.e., a random sample of the Swedish population (n = 7985), aged 18–84 years. The survey was performed between October 2004 and January 2005. We obtained the SF-36 data for an age-adjusted sample of 1 115 women from this survey.

The study was conducted between October 2010 and August 2012. It was approved by the Regional Ethics Committee in Uppsala (study code: 2010/207).

Data collection and measures

Data were collected by a self-rated questionnaire, composed of 4 parts; i) socio-demographic questions (age, employment, education, civil status, children, body mass index (BMI), income, satisfaction with work, social contact), ii) self-estimation of hairiness (the Ferriman-Gallwey scale, F-G scale), iii) HRQoL (the 36 Short- Form Health Survey, SF-36) and iv) perceived social support (the Multidimensional Scale of Perceived Social Support, MSPSS).

The Ferriman-Gallwey scale

The modified Ferriman-Gallwey scale (F-G scale) is a visual self-rating method to determine hairiness in nine androgen dependent body areas [29],[30]. The scale ranges from 0 to 36, and the cut-off score for hirsutism is a value over six, except in facial areas where a F-G score ≥ 2 also is considered as hirsutism [31],[32].

The 36 short-form health survey

The 36 Short- Form Health Survey (SF-36) is a generic HRQoL instrument. It contains 36 items and eight health domains: physical functioning (PF, limitation in performing physical activities such as bathing or dressing), role-physical (RP, limitation in work and other daily activities), bodily pain (BP, bodily pain), general health (GH, how the person perceives her/his own general health), vitality (VT, a feeling of being tired, worn out vs. feeling energetic), social functioning (SF, interference with normal social activities due to physical or emotional problems), role emotional (RE, limitations in daily activities or work due to emotional problems), and mental health (MH, feeling happy or calm vs. nervous and depressed). Scores for each health domain range from 0 to 100. The higher the score, the better the health in that domain. The questionnaire has two main components, one physical (PCS) and one mental (MSC), also with a possible score range between 0 and 100.

The multidimensional scale of perceived social support

The Multidimensional Scale of Perceived Social Support (MSPSS) was constructed by Zimet et al. [25] and aims to assess perceived social support. It includes 12 items which cover three dimensions: family, friends and significant others. Each item is rated on a seven-point Likert-type scale (1 = very strongly disagree; 7 = very strongly agree). A total score is calculated by summing the results for all items. Scores range between 12 and 84, where higher scores indicate higher perceived social support. In addition, separate subscales can be used by summing the responses from the items in each of the three dimensions. The possible score range for the subscales is 4 to 28 respectively. The instrument has been found to be reliable and valid, both in its original language [33] and in other languages [34],[35]. In the present study, a Swedish validated version of the MSPSS was used [36].

Statistical analysis

Descriptive statistics were used to describe patient demographics, clinic characteristics, perceived social support, and HRQoL.

The association between social support and HRQoL was explored by multiple linear regression analyses [37]. In a first step (the initial model), HRQoL were entered as the outcome variable, while social support was entered as the independent variable. In a second step (the full model), age, self-reported hairiness, and BMI were added as adjusting covariates. As the subscales of social support were highly correlated with one another (i.e. Family, Friends and Significant others), the MSPSS total score was used to avoid problems with multicolinearity.

Independent sample t-test was used to compare the SF-36 dimensions between the study sample and the normal population sample [38]. Cohen’s d effect size was used to estimate the clinical importance of the difference between the two groups [39]. The interpretation of Cohen’s d effect size was as following: small (0.2), medium (0.5), or large (0.8) [40].

The level of statistical significance was set at p < 0.05. All analyses were conducted using SPSS version 21 for Windows (IBM Corp, Armonk, NY, USA).


Charateristics of the participants

The characteristics of the women with hirsutism and the Swedish normal population sample are given in Table 1. The mean age of women with hirsutism was 32.0 years. Among the respondents, 44.9% lived with a partner, 48.8% had children living at home, and 55.1% of the women were working. Half of the women (53%) were satisfied with the contact they had with family, friends, and colleagues, while the others wanted more contact.

Table 1 Characteristics of the participants

The normal population sample consisted of 1 115 women with a mean age of 32.7 years. There were no significant age differences between the women with hirsutism and the normal population sample (p = 0.416).

Social support and the association with HRQoL

According to the distribution of MSPSS scores, women with hirsutism reported generally high levels of perceived social support, but with great individual variations (Table 1). Perceived social support measured with MSPSS revealed a mean score of 62.5. Of the three subscales, the highest mean score was found in the subscale Significant others (mean = 22.7). A mean score of 21.2 was reported for the Family subscale, while the Friends subscale had the lowest mean score (mean = 18.5). Scores lower than 15 were reported by 33% of the women on the Friends subscale, by 19% on the Family subscale, and by 13% on the Significant others subscale.

The multiple linear regression analysis revealed a significant association between perceived social support and HRQoL (Table 2). In the initial model, social support (MSPSS total score) was significantly associated with all health domains in the SF-36, as well as the MCS. Social support explained 6% to 34% of the total variance in the health domains in the SF-36 and 30% of the total variance in the MCS. However, social support explained a larger share of the total variance in the mental domains (Vitality, Social Functioning, Role Emotional and Mental Health, R2 = 0.13-0.34), compared to the physical domains (Physical Functioning, Role Physical, Bodily Pain and General Health, R2 = 0.06-0.12). The association between social support and HRQoL also remained after including the adjusting covariates in the full model. The full model, including all independent variables explained 14% (Vitality) to 37% (Mental Health and MCS) of the total variance in the different health domains and component summary scores.

Table 2 Associations between social support and health-related quality of life

Among the covariates, hairiness was significantly associated with bodily pain, social functioning, mental health, and MCS. Age and BMI were both associated with physical functioning bodily pain and PCS. In addition, age was also associated with MCS, while BMI was associated with general health.

HRQoL comparison

Women with hirsutism and the normal population sample both reported greatest health in Physical Functioning, 82.6 and 92.3 respectively. Both women with hirsutism and the normal population sample reported poorest health in Vitality, 41.2 and 54.5 respectively. Women with hirsutism reported significantly lower HRQoL than women in the normal population sample in each health domain as well as PCS and MCS (Table 3 & Figure 1). The effect size was medium or large for all health domains, except Role Physical (d = 0.42), Bodily Pain (d = 0.24), and PCS (d = 0.31). The largest effect size between the two groups was shown for Social Functioning (d = 0.75), Role Emotional (d = 0.72), and MCS (d = 0.79). With the exception of General Health (d = 0.61), the largest effect size was demonstrated for the emotional domains and MCS (Table 3).

Table 3 Health-related quality of life comparisons between women with hirsutism and the Swedish normal population
Figure 1

Health-related quality of life comparisons between women with hirutism and the Swedish normal population. PF = Physical Functioning, RP = Role Physical, BP = Bodily Pain, GH = General Health, VT = vitality, SF = Social Functioning, RE = Role Emotional, MH = Mental Health, PCS = Physical Component Summary, MCS = Mental Component Summary.

A within group analysis comparing PCS with MCS showed that both women with hirsutism and the normal population sample reported significantly poorer mental health compared to physical health, t(122) = 9.50, p < 0.001 and t(1104) = 17.57, p < 0.001 respectively. However, the effect size was smaller in the normal population sample compared with women with hirsutism, d = 0.75 and d =1.21 respectively.


To the best of our knowledge, this is the first study to explorethe association between social support and HRQoL in women with hirsutism. The main findings show that social support is significantly associated with HRQoL, and shown to be most prominent with mental health, but also associated with physical health. In the present study, we also demonstrate that HRQoL was significantly lower in all measured health domains in women with hirsutism compared to a normal population of Swedish women.

The significant association between social support and HRQoL indicates that the importance of family and friends as supporters cannot be underestimated in the care of women with hirsutism. Our findings are congruent with a qualitative study by our research group, where the women emphasised the importance of support from their family members and friends [9]. Picardi et al. [27] found that in psoriasis exacerbations, lack of social support affected not only the HRQoL outcome, but may also precede a psoriasis flare- up. A study of patients with breast cancer indicated that hopelessness among the patients, measured with Beck Hopelessness Scale (BH), was decreased when their social support increased [41].

The level of perceived social support measured with MSPSS in the present study was at similar levels to what has been found in patients with diffuse plaque psoriasis [27], but lower than in a Swedish group of nursing students dominated by younger women whithout visible skin diseases [36]. The reason for this could be that the women with hirsutism, having visible hair on their faces, feel socially vulnerable and stigmatized [20], as patients with visible psoriasis do [42], and therefore withdraw from social life.

In accordance with the findings in the present study, it has previously been reported that hirsutism has a negative effect on HRQoL [9]. Even if there are several options to reduce hair in women with hirsutism, restoring a body to normal hair growth is not possible. It is therefore important to identify and establish other factors, e.g., social support, that can be part of the treatment and care for these women. There are different types of social support, one being informative support [26]. Informative support is, for instance, provision of disease or health- relevant information to the patient and should be provided by healthcare personnel. It has been shown that in psoriasis, social support is generally more effective for preventing depression in women than in men [21]. It has also been shown that given a symptom, a diagnosis and information about that diagnosis brings relief to the patient [43]. It is therefore important that when seeking healthcare, women with hirsutism receive information and support [44].

From a socio-economic point of view, 55% of the women with hirsutism were gainfully employed, which is a lower proportion compared to the figure reported for the general female population in Sweden [45]. As for HRQoL, the results of this study demonstrate that all dimensions in the SF-36 were significantly lower compared to a Swedish normal population sample, but in accordance with patients with severe dermatological states, such as severe psoriasis [46], severe hand eczema [28] and ichtyosis [47]. The dimensions with the most impaired health were Vitality, Social Functioning, Role Emotional and Mental Health. The mean score for Vitality among hirsute women was even lower than reported in patients with myasthenia gravis and multiple sclerosis [48]. The dimensions with the greatest difference, according to the Cohen’s d effect size between the group of women with hirsutism and the normal population sample, was Social Functioning and Role Emotional, which further points to the fact that the women with hirsutism feel stigmatized [20].

Methodological considerations

We have applied well established and validated techniques to obtain self-reported data from women with hirsutism. The use of the generic instrument SF-36 allows comparisons between different disease groups and general populations [49],[50]. One limitation is that SF-36 is not specifically developed for measuring health in patients with skin problems. Dermatology- specific instruments, on the other hand, are more suited for skin diseases and as such allow comparisons between different skin diseases, but could not be used for comparison with other non-dermatological diseases. However, the SF-36 has been widely used with different objectives in patients with dermatology diseases. It has also been used as a reference tool for HRQoL in validation studies of a dermatology-specific instrument [51]. It has been compared with the Dermatology Life Quality Index (DLQI), by using factor analysis and found to be a useful instrument in measuring HRQoL in patients with hand eczema [1].

One limitation is that the patients may have been misdiagnosed as they were recruited from medical records. However, by using the F-G scale to define hairiness and hirsutism, the possible negative effects were reduced. Another limitation could be that we have recruited patients from three different centres, including one private clinic. However, all women included in the study were diagnosed with hirsutism by dermatologists, and the F-G scale was used to define hirsutism and location of hairiness. A further limitation is that this study had a cross-sectional design, which reduces the possibility to draw any causal conclusions about the relationship between social support and HRQoL. Longitudinal studies of social support and HRQoL are therefore needed.

No a priori sample size calculation was conducted, but according to most rules of thumb [52], the sample size can be deemed to be sufficiently large for a regression model including four independent varaibles. In addition, a post hoc power calculation showed that the statistical power (1- β) in the present study varied between 0.55 and 0.87 for the regression models. Despite a somewhat low power for some of the models, the association between social support and HRQoL was confirmed.


In the present study, we have confirmed that hirsutism has a pronounced negative effect on women’s HRQoL, particularly their mental health. Interventions to improve HRQoL among women with hirustism therefore seem to be of importance. We found a significant association between perceived social support and HRQoL, indicating that improved social support is an important factor for enhancing HRQoL in hirsutism, particularly mental health but also physical health. In order to improve HRQoL, social support in clinical practice therefore seems to be a factor to consider.


  1. 1.

    Wallenhammar LM, Nyfjall M, Lindberg M, Meding B: Health-related quality of life and hand eczema–a comparison of two instruments, including factor analysis. J Invest Dermatol 2004, 122: 1381–1389. 10.1111/j.0022-202X.2004.22604.x

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Basra MK, Fenech R, Gatt RM, Salek MS, Finlay AY: The dermatology life quality index 1994–2007: a comprehensive review of validation data and clinical results. Br J Dermatol 2008, 159: 997–1035.

    CAS  PubMed  Google Scholar 

  3. 3.

    Augustin M, Reich K, Blome C, Schafer I, Laass A, Radtke MA: Nail psoriasis in Germany: epidemiology and burden of disease. Br J Dermatol 2010, 163: 580–585. 10.1111/j.1365-2133.2010.09831.x

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Rosenfield RL: Clinical practice. Hirsutism. N Engl J Med 2005, 353: 2578–2588. 10.1056/NEJMcp033496

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Thiboutot DM, Knaggs H, Gilliland K, Hagari S: Activity of type 1 5 alpha-reductase is greater in the follicular infrainfundibulum compared with the epidermis. Br J Dermatol 1997, 136: 166–171. 10.1111/j.1365-2133.1997.tb14889.x

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Randall VA: Androgens and hair growth. Dermatol Ther 2008, 21: 314–328. 10.1111/j.1529-8019.2008.00214.x

    Article  PubMed  Google Scholar 

  7. 7.

    Ali I, Dawber R: Hirsutism: diagnosis and management. Hosp Med 2004, 65: 293–297. 10.12968/hosp.2004.65.5.13706

    Article  PubMed  Google Scholar 

  8. 8.

    Ekbäck M, Lindberg M, Benzein E, Årestedt K: Health-related quality of life, depression and anxiety correlate to the degree of hirsutism. Dermatology 2013, 227: 278–284. 10.1159/000355356

    Article  PubMed  Google Scholar 

  9. 9.

    Ekbäck M, Wijma K, Benzein E: “It is always on my mind”: women’s experiences of their bodies when living with hirsutism. Health Care Women Int 2009, 30: 358–372. 10.1080/07399330902785133

    Article  PubMed  Google Scholar 

  10. 10.

    Sonino N, Fava GA, Mani E, Belluardo P, Boscaro M: Quality of life of hirsute women. Postgrad Med J 1993, 69: 186–189. 10.1136/pgmj.69.809.186

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  11. 11.

    Loo WJ, Lanigan SW: Laser treatment improves quality of life of hirsute females. Clin Exp Dermatol 2002, 27: 439–441. 10.1046/j.1365-2230.2002.01071.x

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Fava GA, Grandi S, Savron G, Bartolucci G, Santarsiero G, Trombini G, Orlandi C: Psychosomatic assessment of hirsute women. Psychother Psychosom 1989, 51: 96–100. 10.1159/000288142

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Kitzinger C, Willmott J: ‘The thief of womanhood’: women’s experience of polycystic ovarian syndrome. Soc Sci Med 2002, 54: 349–361. 10.1016/S0277-9536(01)00034-X

    Article  PubMed  Google Scholar 

  14. 14.

    Elsenbruch S, Hahn S, Kowalsky D, Offner AH, Schedlowski M, Mann K, Janssen OE: Quality of life, psychosocial well-being, and sexual satisfaction in women with polycystic ovary syndrome. J Clin Endocrinol Metab 2003, 88: 5801–5807. 10.1210/jc.2003-030562

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Guyatt G, Weaver B, Cronin L, Dooley JA, Azziz R: Health-related quality of life in women with polycystic ovary syndrome, a self-administered questionnaire, was validated. J Clin Epidemiol 2004, 57: 1279–1287. 10.1016/j.jclinepi.2003.10.018

    Article  PubMed  Google Scholar 

  16. 16.

    McCook JG, Reame NE, Thatcher SS: Health-related quality of life issues in women with polycystic ovary syndrome. JOGNN: J Obstet Gynecol Neonatal Nurs 2005, 34: 12–20. 10.1177/0884217504272945

    Article  PubMed  Google Scholar 

  17. 17.

    Elsenbruch S, Benson S, Hahn S, Tan S, Mann K, Pleger K, Kimmig R, Janssen OE: Determinants of emotional distress in women with polycystic ovary syndrome. Hum Reprod 2006, 21: 1092–1099. 10.1093/humrep/dei409

    Article  PubMed  Google Scholar 

  18. 18.

    Lipton MG, Sherr L, Elford J, Rustin MHA, Clayton WJ: Women living with facial hair: the psychological and behavioral burden. J Psychosom Res 2006, 61: 161–168. 10.1016/j.jpsychores.2006.01.016

    Article  PubMed  Google Scholar 

  19. 19.

    Barnard L, Ferriday D, Guenther N, Strauss B, Balen AH, Dye L: Quality of life and psychological well being in polycystic ovary syndrome. Hum Reprod 2007, 22: 2279–2286. 10.1093/humrep/dem108

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Keegan A, Liao LM, Boyle M: “Hirsutism”: a psychological analysis. J Health Psychol 2003, 8: 327–345.

    PubMed  Google Scholar 

  21. 21.

    Janowski K, Steuden S, Pietrzak A, Krasowska D, Kaczmarek L, Gradus I, Chodorowska G: Social support and adaptation to the disease in men and women with psoriasis. Arch Dermatol Res 2012, 304: 421–432. 10.1007/s00403-012-1235-3

    PubMed Central  Article  PubMed  Google Scholar 

  22. 22.

    Arestedt K, Saveman BI, Johansson P, Blomqvist K: Social support and its association with health-related quality of life among older patients with chronic heart failure. Eur J Cardiovasc Nurs 2013, 12: 69–77.

    PubMed  Google Scholar 

  23. 23.

    Eom CS, Shin DW, Kim SY, Yang HK, Jo HS, Kweon SS, Kang YS, Kim JH, Cho BL, Park JH: Impact of perceived social support on the mental health and health-related quality of life in cancer patients: results from a nationwide, multicenter survey in South Korea. Psychooncology 2013, 22: 1283–1290. 10.1002/pon.3133

    Article  PubMed  Google Scholar 

  24. 24.

    Costa DC, Sa MJ, Calheiros JM: The effect of social support on the quality of life of patients with multiple sclerosis. Arq Neuropsiquiatr 2012, 70: 108–113. 10.1590/S0004-282X2012000200007

    Article  PubMed  Google Scholar 

  25. 25.

    Zimet GD, Dahlem NW, Zimet SG, Farley GK: The multidimensional scale of perceived social support. J Pers Assess 1988, 52: 30–41. 10.1207/s15327752jpa5201_2

    Article  Google Scholar 

  26. 26.

    Hupcey JE: Clarifying the social support theory-research linkage. J Adv Nurs 1998, 27: 1231–1241. 10.1046/j.1365-2648.1998.01231.x

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Picardi A, Mazzotti E, Gaetano P, Cattaruzza MS, Baliva G, Melchi CF, Biondi M, Pasquini P: Stress, social support, emotional regulation, and exacerbation of diffuse plaque psoriasis. Psychosomatics 2005, 46: 556–564. 10.1176/appi.psy.46.6.556

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Bingefors K, Lindberg M, Isacson D: Quality of life, use of topical medications and socio-economic data in hand eczema: a Swedish nationwide survey. Acta Derm Venereol 2011, 91: 452–458. 10.2340/00015555-1111

    Article  PubMed  Google Scholar 

  29. 29.

    Ferriman D, Gallwey JD: Clinical assessment of body hair growth in women. J Clin Endocrinol Metab 1961, 21: 1440–1447. 10.1210/jcem-21-11-1440

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Hatch R, Rosenfield RL, Kim MH, Tredway D: Hirsutism: implications, etiology, and management. Am J Obstet Gynecol 1981, 140: 815–830.

    CAS  PubMed  Google Scholar 

  31. 31.

    Azziz R: The evaluation and management of hirsutism. Obstet Gynecol 2003, 101: 995–1007. 10.1016/S0029-7844(02)02725-4

    Article  PubMed  Google Scholar 

  32. 32.

    Derksen J, Moolenaar AJ, Van Seters AP, Kock DF: Semiquantitative assessment of hirsutism in Dutch women. Br J Dermatol 1993, 128: 259–263. 10.1111/j.1365-2133.1993.tb00168.x

    CAS  Article  PubMed  Google Scholar 

  33. 33.

    Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA: Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess 1990, 55: 610–617. 10.1207/s15327752jpa5503&4_17

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Akhtar A, Rahman A, Husain M, Chaudhry IB, Duddu V, Husain N: Multidimensional scale of perceived social support: psychometric properties in a South Asian population. J Obstet Gynaecol Res 2010, 36: 845–851. 10.1111/j.1447-0756.2010.01204.x

    Article  PubMed  Google Scholar 

  35. 35.

    Wongpakaran T, Wongpakaran N, Ruktrakul R: Reliability and validity of the Multidimensional Scale of Perceived Social Support (MSPSS): Thai version. Clin Pract Epidemiol Ment Health 2011, 7: 161–166. 10.2174/1745017901107010161

    PubMed Central  Article  PubMed  Google Scholar 

  36. 36.

    Ekbäck M, Benzein E, Lindberg M, Årestedt K: The Swedish version of the Multidimensional Scale of Perceived Social Support (MSPSS) - A psychometric evaluation study in women with hirsutism and nursing students. Health Qual Life Outcomes 2013.

    Google Scholar 

  37. 37.

    Field A: Discovering Statistics using SPSS. 2nd edition. SAGE publications Ltd, London; 2009.

    Google Scholar 

  38. 38.

    Altman DG: Practical Statistics for Medical Research. Chapman & Hall, London; 1991.

    Google Scholar 

  39. 39.

    Fayers PM, Machin D: Quality of Life: The Assessment, Analysis and Interpretation of Patient-reported Outcomes. 2nd edition. John Wiley & Sons, Ltd., Chichester; 2007.

    Book  Google Scholar 

  40. 40.

    Cohen J: Statistical Power Analyses for the Behavioural Sciences. 2nd edition. Lawrence Erlbaum Associates, Hillsdale NJ; 1988.

    Google Scholar 

  41. 41.

    Öztunç G, Yeşil P, Paydaş S, Erdoğan S: Social support and hopelessness in patients with breast cancer. Asian Pac J Cancer Prev 2013, 14: 571–578. 10.7314/APJCP.2013.14.1.571

    Article  PubMed  Google Scholar 

  42. 42.

    Khoury LR, Danielsen PL, Skiveren J: Body image altered by psoriasis. A study based on individual interviews and a model for body image. J Dermatolog Treat 2013.

    Google Scholar 

  43. 43.

    Avery JC, Braunack-Mayer AJ: The information needs of women diagnosed with Polycystic Ovarian Syndrome–implications for treatment and health outcomes. BMC Womens Health 2007, 7: 9. 10.1186/1472-6874-7-9

    PubMed Central  Article  PubMed  Google Scholar 

  44. 44.

    Ekbäck M, Engfeldt P, Benzein E: “We feel rejected”: experiences of women with hirsutism consulting physicians. J Psychosom Obstet Gynaecol 2011, 32: 157–159. 10.3109/0167482X.2011.599461

    Article  PubMed  Google Scholar 

  45. 45.

    Statistics Sweden:Women and Men in Sweden. Facts and Figures. 2012.

    Google Scholar 

  46. 46.

    Lindberg M, Berg M: Some observations on reporting quality of life in treatment of psoriasis in outpatient clinics. Acta Derm Venereol 2013, 93: 210–211. 10.2340/00015555-1449

    Article  PubMed  Google Scholar 

  47. 47.

    Ganemo A, Sjoden PO, Johansson E, Vahlquist A, Lindberg M: Health-related quality of life among patients with ichthyosis. Eur J Dermatol 2004, 14: 61–66.

    PubMed  Google Scholar 

  48. 48.

    Basta IZ, Pekmezovic TD, Peric SZ, Kisic-Tepavcevic DB, Rakocevic-Stojanovic VM, Stevic ZD, Lavrnic DV: Assessment of health-related quality of life in patients with myasthenia gravis in Belgrade (Serbia). Neurol Sci 2012, 33: 1375–1381. 10.1007/s10072-012-1170-2

    Article  PubMed  Google Scholar 

  49. 49.

    Mallon E, Newton JN, Klassen A, Stewart-Brown SL, Ryan TJ, Finlay AY: The quality of life in acne: a comparison with general medical conditions using generic questionnaires. Br J Dermatol 1999, 140: 672–676. 10.1046/j.1365-2133.1999.02768.x

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    Prinsen CA, de Korte J, Augustin M, Sampogna F, Salek SS, Basra MK, Holm EA, Nijsten TE: Measurement of health-related quality of life in dermatological research and practice: outcome of the EADV Taskforce on Quality of Life. J Eur Acad Dermatol Venereol 2013.

    Google Scholar 

  51. 51.

    Both H, Essink-Bot ML, Busschbach J, Nijsten T: Critical review of generic and dermatology-specific health-related quality of life instruments. J Invest Dermatol 2007, 127: 2726–2739. 10.1038/sj.jid.5701142

    CAS  Article  PubMed  Google Scholar 

  52. 52.

    Green SB: How many subjects does it take to do a regression analysis? Multivariate Behav Res 1991, 6: 499–510. 10.1207/s15327906mbr2603_7

    Article  Google Scholar 

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Sofia Mcgarvey for revising the English.

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Nyckelfonden, Örebro, Sweden and Örebro County Council, Örebro, Sweden.

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Correspondence to Maria Palmetun Ekbäck.

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Ekbäck, M.P., Lindberg, M., Benzein, E. et al. Social support: an important factor for quality of life in women with hirsutism. Health Qual Life Outcomes 12, 183 (2014).

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  • Association
  • Health
  • Hirsutism
  • Quality of life
  • Social support