<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0870-8231</journal-id>
<journal-title><![CDATA[Análise Psicológica]]></journal-title>
<abbrev-journal-title><![CDATA[Aná. Psicológica]]></abbrev-journal-title>
<issn>0870-8231</issn>
<publisher>
<publisher-name><![CDATA[ISPA-Instituto Universitário]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0870-82312019000200002</article-id>
<article-id pub-id-type="doi">10.14417/ap.1471</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Prevalence and predictors of Burnout Syndrome among public elementary school teachers]]></article-title>
<article-title xml:lang="pt"><![CDATA[Prevalência e preditores da Síndrome de Burnout entre professores do ensino básico público]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Carlotto]]></surname>
<given-names><![CDATA[Mary Sandra]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Câmara]]></surname>
<given-names><![CDATA[Sheila Gonçalves]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Universidade do Vale do Rio dos Sinos  ]]></institution>
<addr-line><![CDATA[São Leopoldo ]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidade Federal de Ciências da Saúde de Porto Alegre  ]]></institution>
<addr-line><![CDATA[Porto Alegre ]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2019</year>
</pub-date>
<volume>37</volume>
<numero>2</numero>
<fpage>135</fpage>
<lpage>146</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S0870-82312019000200002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S0870-82312019000200002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S0870-82312019000200002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Burnout is a psychosocial phenomenon, expression of several crises and disorientation in society, which has been subjecting the many labor sectors to too much tension over the years. The teaching profession is exposed, in the current work context, to a large amount of psychosocial stressors that, if persistent, may lead to Burnout. The aim of this cross-sectional study was to identify the prevalence and the predictors of the Burnout Syndrome (BS) in a random sample of 679 Brazilian teachers from 37 public elementary schools. The instruments were the Spanish Burnout Inventory; the Battery of Psychosocial Risk Assessment; and a questionnaire to assess sociodemographic and occupational variables. There was 7.5% prevalence of Profile 1 SB, and 18.3% of Profile 2 SB. Results point as predictors of Burnout dimensions the variables autonomy, conflict role, ambiguity role, overload, social support, and interpersonal conflicts. Results point predictor models of burnout dimensions composed of psychosocial risks derived from the type of the activity, and of interpersonal risks, with highlight to the variables social support and overload, which are present in all of the dimensions. Suggestions for further studies and implications on the practice are approached.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Burnout é um fenómeno psicossocial, expressão de várias crises e desorientação na sociedade, o que tem submetido muitos setores laborais a grande tensão ao longo dos anos. A profissão docente está exposta, no contexto laboral atual, a uma grande quantidade de fatores de estresse psicossocial que, se persistentes, podem levar ao Burnout. O objetivo desse estudo transversal foi identificar a prevalência e os preditores da Síndrome de Burnout (SB) em uma amostra aleatória de 679 professores brasileiros de 37 escolas públicas de ensino básico. Os instrumentos foram o Spanish Burnout Inventory, a Bateria de Riscos Psicossociais e um questionário com variáveis sociodemográficas e laborais. Foi identificada uma prevalência de 7,5% para o Perfil 1 de SB e 18,3% para o Perfil 2 de SB. Os resultados indicaram como preditores das dimensões de Burnout as variáveis autonomia, conflito de papel, ambiguidade de papel, sobrecarga, suporte social e conflitos interpessoais. Os resultados demonstram modelos preditores das dimensões de Burnout compostos de riscos psicossociais derivados do tipo de atividade e dos riscos interpessoais, destacando as variáveis suporte social e sobrecarga, presentes em todas as dimensões. São apresentadas sugestões para estudos futuros e implicações para a prática.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Burnout]]></kwd>
<kwd lng="en"><![CDATA[School teachers]]></kwd>
<kwd lng="en"><![CDATA[Occupational health]]></kwd>
<kwd lng="pt"><![CDATA[Burnout]]></kwd>
<kwd lng="pt"><![CDATA[Professores de escola]]></kwd>
<kwd lng="pt"><![CDATA[Saúde ocupacional]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p><b>Prevalence and predictors of Burnout Syndrome among public elementary school teachers</b></p>     <p><b>Preval&ecirc;ncia e preditores da S&iacute;ndrome de Burnout entre professores do ensino b&aacute;sico p&uacute;blico</b></p>     <p><b>Mary Sandra Carlotto<sup>1</sup>, Sheila Gon&ccedil;alves C&acirc;mara<sup>2</sup></b></p>     <p><sup>1</sup>Universidade do Vale do Rio dos Sinos &ndash; UNISINOS, S&atilde;o Leopoldo, Brasil</p>     <p><sup>2</sup>Universidade Federal de Ci&ecirc;ncias da Sa&uacute;de de Porto Alegre &ndash; UFCSPA, Porto Alegre, Brasil</p>     <p><a name="topc0"></a><a href="#c0">Correspondência</a></p>     <p>&nbsp;</p>     <p><b>ABSTRACT</b></p>     <p>Burnout is a psychosocial phenomenon, expression of several crises and disorientation in society, which has been subjecting the many labor  sectors to too much tension over the years. The teaching profession is exposed, in the current work context, to a large amount of psychosocial  stressors that, if persistent, may lead to Burnout. The aim of this cross-sectional study was to identify the prevalence and the predictors of  the Burnout Syndrome (BS) in a random sample of 679 Brazilian teachers from 37 public elementary schools. The instruments were the Spanish  Burnout Inventory; the Battery of Psychosocial Risk Assessment; and a questionnaire to assess sociodemographic and occupational variables. There  was 7.5% prevalence of Profile 1 SB, and 18.3% of Profile 2 SB. Results point as predictors of Burnout dimensions the variables autonomy,  conflict role, ambiguity role, overload, social support, and interpersonal conflicts. Results point predictor models of burnout dimensions  composed of psychosocial risks derived from the type of the activity, and of interpersonal risks, with highlight to the variables social support  and overload, which are present in all of the dimensions. Suggestions for further studies and implications on the practice are approached.    <p>     ]]></body>
<body><![CDATA[<p><b>Key words</b>: Burnout, School teachers, Occupational health.</p>     <p>&nbsp;</p>     <p><b>RESUMO</b></p>     <p>Burnout &eacute; um fen&oacute;meno psicossocial, express&atilde;o de v&aacute;rias crises e desorienta&ccedil;&atilde;o na sociedade, o que  tem submetido muitos setores laborais a grande tens&atilde;o ao longo dos anos. A profiss&atilde;o docente est&aacute; exposta, no contexto  laboral atual, a uma grande quantidade de fatores de estresse psicossocial que, se persistentes, podem levar ao Burnout. O objetivo desse estudo  transversal foi identificar a preval&ecirc;ncia e os preditores da S&iacute;ndrome de Burnout (SB) em uma amostra aleat&oacute;ria de 679  professores brasileiros de 37 escolas p&uacute;blicas de ensino b&aacute;sico. Os instrumentos foram o Spanish Burnout Inventory, a Bateria de  Riscos Psicossociais e um question&aacute;rio com vari&aacute;veis sociodemogr&aacute;ficas e laborais. Foi identificada uma preval&ecirc;ncia de  7,5% para o Perfil 1 de SB e 18,3% para o Perfil 2 de SB. Os resultados indicaram como preditores das dimens&otilde;es de Burnout as  vari&aacute;veis autonomia, conflito de papel, ambiguidade de papel, sobrecarga, suporte social e conflitos interpessoais. Os resultados  demonstram modelos preditores das dimens&otilde;es de Burnout compostos de riscos psicossociais derivados do tipo de atividade e dos riscos  interpessoais, destacando as vari&aacute;veis suporte social e sobrecarga, presentes em todas as dimens&otilde;es. S&atilde;o apresentadas  sugest&otilde;es para estudos futuros e implica&ccedil;&otilde;es para a pr&aacute;tica.</p>     <p><b>Palavras-chave</b>: Burnout, Professores de escola, Sa&uacute;de ocupacional.</p>     <p>&nbsp;</p>     <p><b>Introduction</b></p>     <p>&nbsp;</p>     <p><i>Burnout Syndrome</i></p>     <p>The Burnout Syndrome (BS) is considered a chronic response to interpersonal stressors occurred in a work-related situation (Maslach,  Schaufeli, &amp; Leiter, 2001; Leiter, Bakker, &amp; Maslach, 2014). Burnout is a group of negative symptoms that a worker experiences in labor  context (Zhou &amp; Wen, 2007). According to the burnout theoretical model developed by Gil-Monte (2005), the illness is a psychological response  to chronic work-related stress of interpersonal and emotional nature that appears in professionals of service-sector organizations who work in  direct contact with clients or users.</p>     ]]></body>
<body><![CDATA[<p>Gil-Monte (2005, 2011) built a theoretical model in which he describes four dimensions: (1) enthusiasm toward the job, characterized by  behaviors performed by workers toward their goals at work. They feel enthusiastic and involved with their work activities, deeming them rewarding  and an important source of personal and professional pleasure. To characterize the syndrome, this dimension should be assessed in an inverse way,  that is, low scores are indicative of high levels of Burnout; (2) psychological exhaustion, which is defined by the occurrence of emotional and  physical exhaustion and is caused by interpersonal relationships in the work context. Workers interact daily with people who have or who cause  problems; (3) indolence, dimension marked by negative attitudes in social interactions in the work context. Workers interact with people in an  impersonal, indifferent and distant way, losing their ability to empathize with the problems presented by those they serve; and, (4) guilt,  defined as a social emotion resulting from the attitudes and behaviors present in the indolence dimension. Workers evaluate their behaviors as if  they were violating some type of code of ethics or norm derived from the prescription of their professional role. This feeling does not occur in  all workers and it is this dimension that differentiates the two Burnout profiles.</p>     <p>Thus, based on the assessment of the BS dimensions, the theoretical model allows the construction of two differentiated profiles, Profile 1  and Profile 2 (Gil-Monte, 2005; Guidetti, Viotti, Gil-Monte, &amp; Converso, 2017). Profile 1 is characterized by a set of feelings and behaviors  linked to workplace stress, which impact on the wellbeing of workers. This discomfort does not incapacitate them for the professional exercise;  however, it negatively affects productivity and the quality of their job. Professionals manage to keep working for a long time, adopting  defensive strategies and justifying their lack of commitment with external factors.</p>     <p>Profile 2 presents the same characteristics as Profile 1 dimensions, in addition to the guilt dimension. Professionals affected by this  profile blame themselves for feeling worn out and less physically and emotionally able to deal with labor demands and for withdrawal behaviors in  interpersonal relationships at work. In this profile, professionals are aware that they are failing to fulfill their professional duties and the  social expectations of their role, and are hard on themselves because of that, which triggers feelings of frustration and emotional suffering.  Professionals affected by Profile 2 present serious problems in the execution of their job, greater cognitive, emotional and behavioral  deterioration, with more work leaves (Rabasa, Figueiredo-Ferraz, Gil-Monte, &amp; Llorca-Pellicer, 2016) and health problems (Diehl &amp;  Carlotto, 2014), the most frequent being depression (Gil-Monte, 2012).</p>     <p>The BS has been evidenced as an important epidemiological and public health matter, due to its negative impacts at individual, organizational  and social levels (Gil-Monte, 2008; Leiter et al., 2014; Manzano-Garc&iacute;a &amp; Ayala-Calvo, 2013; WHO, 2001). For its importance, there is  an exponential growth in the amount of information gathered since studies started in the 1970&rsquo;s (Manzano-Garc&iacute;a &amp; Ayala-Calvo,  2013). Burnout is a psychosocial phenomenon, expression of several crises and disorientation in society, which has been subjecting the many labor  sectors to too much tension over the years, especially assistance-oriented ones (Cebri&agrave;-Andreu, 2005). The several economic crises and the  constant changes in labor conditions have made workers more vulnerable to developing BS. Teachers have been one of the most investigated  occupational groups since the pioneering phase of studies about burnout (Carlotto &amp; C&acirc;mara, 2008).</p>     <p>&nbsp;</p>     <p><i>Burnout Syndrome in teachers</i></p>     <p>In the last few years, teachers have been facing several difficulties, such as increasing loss of their social status and purchase power  resulting from low wages, overload, bad work conditions, lack of benefits, more bureaucracy, and for being the target of strong criticism by the  society (Jani, 2017; Khosla, 2013; Mearns &amp; Chain, 2003). The teaching profession is exposed, therefore, in the current work context, to a  large amount of psychosocial stressors that, if persistent, may lead to Burnout (Guglielmi &amp; Tatrow, 1998).</p>     <p>Psychosocial stressors have been affecting the health of teachers and making them vulnerable to Burnout (Khosla, 2013). The main stressors  pointed in the literature are the students&rsquo; lack of interest and indiscipline (Skaalvik &amp; Skaalvik, 2017); lack of structure; lack of  dialogue, and authoritarianism by both the coordination and the direction of the school; Disempowering policies and practices; individualism and  competition among coworkers, and low wages (Costa &amp; Rocha, 2013; Prilleltensky, Neff, &amp; Bessell, 2016). Very often the current school  reality makes teachers obliged to provide in poor conditions, a social assistance that goes beyond those related to education (Maranda, Viviers,  &amp; Deslauriers, 2014).</p>     <p>Studies carried out with teachers have evidenced association between burnout and overload, classroom demands (Brouwers, Tomic, &amp; Boluijt,  2011; Carlotto, Dias, Batista, &amp; Diehl, 2015; McCarthy, Lambert, O&rsquo;Donnell, &amp; Melendres, 2009; Masmoudi et al., 2016), ambiguity  role (Farber, 1991) and conflict role (Konukman et al., 2010), autonomy (Olivier &amp; Williams, 2005), social support (Brouwers et al., 2011;  L&oacute;pez, Bola&ntilde;o, Mari&ntilde;o, &amp; Pol, 2010), and interpersonal conflicts (Mercado-Salgado &amp; Gil-Monte, 2010; Zhou &amp; Wen,  2007).</p>     <p>Burnout in teachers has been receiving increasing attention from researchers and scholars, as its severity among education professionals has  made teaching a high-risk job for the development of this syndrome (Guidetti et al., 2017; Stoeber &amp; Rennert, 2008). Its occurrence affects  the educational environment and the social environment, interfering with the achievement of pedagogical results and with the quality of education  (Guglielmi &amp; Tatrow, 1998; Klusmann, Kunter, Trautwein, L&uuml;dtke, &amp; Baumert, 2008), having been associated with reduced job  satisfaction (Kroupis et al., 2017), reduced sense of teaching efficacy (Smetackova, 2017), the intention to quit teaching (Carlotto, 2012),  absenteeism (Rabasa et al., 2016), and lower quality of personal life (Fernandes &amp; Rocha, 2009).</p>     ]]></body>
<body><![CDATA[<p>Thus, it becomes relevant to perform studies that can identify Burnout prevalence and risk profile in order to intervene in and prevent this  occupational pathology (Leiter et al., 2014; Maslach &amp; Leiter, 2008). Based on the exposed, this cross-sectional, observational and  analytical study aims to identify BS prevalence and the predictive power of psychosocial risks in a sample of Brazilian teachers.</p>     <p>&nbsp;</p>     <p><b>Method</b></p>     <p>&nbsp;</p>     <p><i>Participants</i></p>     <p>This cross-sectional study was conducted with a calculated random sample of a population with 1.250 teachers distributed in all 37 elementary  schools located in a large city in the metropolitan area of Porto Alegre (Rio Grande do Sul state, Brazil). The parameters for sample size  calculation were 50% prevalence, 5% error, 80% effect power and 20% potential losses. The final sample consisted of 713 teachers. The collected  sample consisted of 679 teachers, with a loss of 34 participants.</p>     <p>Most participants were women (91.8%), with a partner (60.8%) and children (68.6%). Their average age was 42 years (<i>SD</i>&plusmn;9) and  their salaries were over three minimum wages, a reference in Brazil (51.2%). Most participants had a post-graduate degree (61.8%). The majority  of the professionals worked exclusively at the school under investigation (74.2%). Participants had an average of 17 years of professional  experience (range=1-47, <i>SD</i>&plusmn;8.9, <i>M</i><sub>o</sub>=15) and 8.8 years of professional experience at the school  (<i>SD</i>&plusmn;7.2). The workload varied between 16 and 57 hours a week, with an average of 34 hours a week (<i>SD</i>&plusmn;11.6,  <i>M</i><sub>o</sub>=40). The amount of students they work with per day ranged between 7 and 500, with an average of 77 students per day  (<i>SD</i>&plusmn;74, <i>M</i><sub>o</sub>=60).</p>     <p>&nbsp;</p>     <p><i>Measures</i></p>     <p>Data were collected through a questionnaire specifically designed to investigate some sociodemographic factors (gender, age, marital status,  children) and work variables (education, weekly workload at the institution, wages, time working at the institution, work in other activities,  jobs at other schools). Additionally, the following self-report instruments were used:</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><i>Spanish Burnout Inventory</i>, Education professionals version (SBI-Ed), adapted to Brazil, by Gil-Monte, Carlotto and C&acirc;mara (2010),  composed of 20 items divided into four subscales: enthusiasm toward the job (reversed) (5 items, alpha=.83; e.g., <i>I see my job as a source of  personal accomplishment</i>); psychological exhaustion (4 items, alpha=.80; e.g., <i>I feel emotionally exhausted</i>); indolence (6 items,  alpha=.80; e.g., <i>I don&rsquo;t like taking care of some students</i>); and guilt (5 items, alpha=.82; e.g., <i>I regret some of my behaviors  at work</i>). The items were answered on a 5-point frequency scale: 0 (Never) to 4 (Very frequently: every day). To assess the profiles, one can  combine the scores on each subscale into a single score, as an average score. The Profile 1 score is estimated as the average of the 15 items   from the subscales of enthusiasm toward the job (reversed), psychological exhaustion, and indolence. The Profile 2 score is estimated by the   average of these 15 items together with the average of the guilt subscale.</p>     <p>&nbsp;</p>     <p><i>Battery of Psychosocial Risk Assessment </i>(Unidad de Investigaci&oacute;n Psicosocial de la Conducta Organizacional &ndash; UNIPSICO) by  Gil-Monte (2005), which assess: autonomy (5 items, alpha=.77; e.g., My job provides me possibilities to use my own initiative); conflict role (5  items, alpha=.76; e.g., I have to do things differently from what I think they should be done); ambiguity role (reversed) (5 items, alpha=.78;  e.g., I know what my responsibilities at work are); overload (6 items, alpha=.79; e.g., I feel that I do not have enough time to finish my work);  social support (5 items, alpha=.84; e.g., I count on the help of friends when I have problems at work); and negative feedback (6 items,  alpha=.71; e.g., The organization informs me when my performance is poor); interpersonal conflicts (5 items, alpha=.76; e.g., I have been  experiencing conflicts with students). All items were answered on a 5-point frequency scale: 0 (Never) to 4 (Very frequently: every day).</p>     <p>&nbsp;</p>     <p><i>Procedures</i></p>     <p>First, the City&rsquo;s Educational Department was contacted, to which the object of the study was presented in order to obtain authorization  and support for the implementation of the instruments. Teachers answered the instruments at their workplace. The instruments were collected after  being filled out. The application occurred from September to November 2013. The first author of this study collected the data. The participants  were informed about the objective of the study, as well as its voluntary, anonymous and confidential character. Research ethics committees of  [institution name omitted for review] approved the study.</p>     <p>The statistical software PASW, version 22 (SPSS/PASW, Inc., Chicago, IL), was applied for data analysis. Descriptive statistics were used to  calculate frequencies, average scores and standard deviations.</p>     <p>Burnout prevalence was assessed by means of the cutoff points of the SBI manual from the calculation of percentiles (P) (Gil-Monte, 2011).  Scores &ge;P90 were classified as high levels of the dimensions. For the Profile 1 it was considered the cases that presented scores &ge;P90 in  the average scoring of the 15 items of the subscales of enthusiasm toward the job (reversed), psychological exhaustion and indolence, and &lt;P90  in the guilt subscale. The cases included in Profile 2 were those of participants with scores &ge;P90 in the average scoring of the 15 items  mentioned above, and &ge;P90 in the guilt subscale as well.</p>     <p>Multiple linear regression analysis (Stepwise method) was performed, using as dependent variables each burnout dimension, and, the  psychosocial risks as independent variables. The predictor variables were selected with a <i>p</i>&lt;.05 level of significance. In the  regression analysis, the power of the obtained significant effects, standardized regression coefficients &ndash; which can be considered as  effect sizes in terms of standard deviation units &ndash; were calculated for each final model, according to Field (2009).</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><b>Results</b></p>     <p>Results reveal a prevalence of 10.9% of participants with feelings of low enthusiasm for the job, 15.3% with high level of psychological  exhaustion, 20.9% of indolence, and 20.8% of guilt. When considering the total scoring in the Spanish Burnout Inventory scale, composed of 15  items, the percentage of subjects that indicated high levels of Burnout, considering the criterion adopted, was 7.5%. In the Spanish Burnout  Inventory scoring and guilt dimension, 18.3% presented high scores (<a href="#t1">Table 1</a>).</p>     <p>&nbsp;</p>     <p><a name="t1"></a></p>     <p><img src="/img/revistas/aps/v37n2/37n2a02t1.jpg"></p>     
<p>&nbsp;</p>     <p><a href="#t2">Table 2</a> displays the means, standard deviation, alpha values and correlation matrix between the study variables. The  instruments reveal adequate rates of internal consistency, assessed by Cronbach&rsquo;s &alpha; (Bland &amp; Altman, 1997), ranging from .71 to  .89. The variables present correlations ranging from weak (<i>r=</i>-.10) to moderate (<i>r</i>=.56).</p>     <p>&nbsp;</p>     <p><a name="t2"></a></p>     ]]></body>
<body><![CDATA[<p><img src="/img/revistas/aps/v37n2/37n2a02t2.jpg"></p>     
<p>&nbsp;</p>     <p><a href="#t3">Table 3</a> shows the results of multivariate regression analysis for the variables predicting the four burnout dimensions. The  results for enthusiasm toward the job identified a predictor model composed of the variables social support, autonomy, overload, ambiguity role  and negative feedback. This model explained 25.3% of the variance for this dimension. Thus, higher levels of social support (<i>&beta;</i>=.206)  and autonomy (<i>&beta;</i>=.1813), predicted higher enthusiasm toward the job. Higher levels of overload (<i>&beta;</i>=-.132), ambiguity role  (<i>&beta;</i>=.149) and negative feedback (<i>&beta;</i>=-.075) predicted less enthusiasm toward the job.</p>     <p>&nbsp;</p>     <p><a name="t3"></a></p>     <p><img src="/img/revistas/aps/v37n2/37n2a02t3.jpg"></p>     
<p>&nbsp;</p>     <p>Regarding psychological exhaustion, the final model was explained by the variables overload, negative feedback, interpersonal conflicts,  social support and autonomy, with 37.1% of its total variability explained. Particularly, lower levels of social support (<i>&beta;</i>=-.135)  and autonomy (<i>&beta;</i>=-.123) predicted depersonalization. Higher levels of psychological exhaustion increase as overload  (<i>&beta;</i>=.387), negative feedback (<i>&beta;</i>=.138) and interpersonal conflicts increases (<i>&beta;</i>=.113).</p>     <p>Indolence was predicted by the variables overload, interpersonal conflicts, negative feedback, conflict role and social support. This model  explained 27.5% of the variance for this dimension. Higher levels of overload (<i>&beta;</i>=.200), interpersonal conflicts (<i>&beta;</i>=.193),  and negative feedback (<i>&beta;</i>=.086) and low levels of social support (<i>&beta;</i>=-.187) predicted higher levels of indolence.</p>     <p>The results for guilt identified a predictor model composed of the variables social interpersonal conflict, overload, ambiguity role, and  social support. This model explained 19.1% of the variance for this dimension. Thus, higher levels of interpersonal conflicts  (<i>&beta;</i>=.365), overload (<i>&beta;</i>=.231) and ambiguity role (<i>&beta;</i>=-.162) predicted higher indolence. Higher levels of social  support (<i>&beta;</i>=.085), predicted less indolence.</p>     ]]></body>
<body><![CDATA[<p>Note that, in this sample, overload and social support are variables with common predictive value in explaining the variability of Burnout in  all four dimensions. Overall, results found are between the medium (<i>R</i><sup>2</sup>=.123) and large effect sizes (<i>R</i><sup>2</sup>=.371)  as recommended by Field (2009).</p>     <p>&nbsp;</p>     <p><b>Discussion</b></p>     <p>The analysis of the results regarding the prevalence of both Burnout profiles identified that 7.5% of the participants are classified into  Profile 1, and 18.3% into Profile 2. The prevalence of Profile 1 proves inferior and Profile 2 superior to results obtained in a sample of  Brazilian teachers from schools in Porto Alegre and metropolitan area (Gil-Monte, Carlotto, &amp; C&acirc;mara, 2011), which identified 12% for  Profile 1, and 5.6% for Profile 2. Unda (2010), in study with Mexican teachers, identified superior prevalence for Profile 1 (35%) and inferior  for Profile 2 (17.2%). Similar result was found by Figueiredo-Ferraz, Gil-Monte and Grau-Alberola (2009), with Portuguese teachers, whose  prevalence was superior in Profile 1 (14.2%) and inferior in Profile 2 (1.9%) as well.</p>     <p>From the cutoff points used, all 175 cases identified in this study could be classified as positive for BS, in accordance with both Brazilian  legislation and the theoretical model adopted. It is important to highlight that, in addition to prevalence, Burnout presents levels depending on  the frequency and intensity of symptoms (Maslach &amp; Jackson, 1981). In this sense, the percentage of teachers in both profiles proposed by  Gil-Monte (2005) theoretical model is worrisome, because, for being currently working, they may be aggravating the situation (Gil-Monte et al.,  2011), increasing the chances of work leave (Ahola, V&auml;&auml;n&auml;nen, Koskinen, &amp; Shirom, 2010), besides being developing their  activities poorly (Maslach &amp; Goldberg, 1998), with damages to the student&rsquo;s learning process (Carlotto, 2012; Gil-Monte et al.,  2011).</p>     <p>It is worth alerting that, in all of the cases, a clinical interview and other psychological assessment methods need to be performed in order  to confirm the diagnosis (Amazarray, C&acirc;mara, &amp; Carlotto, 2014). Such measure is important to rule out other pathologies that may be  influencing the assessed symptoms (Gil-Monte et al., 2011).</p>     <p>The analysis of the predictors of the dimension Enthusiasm toward the job validates studies that identified association between Burnout and  social support (Brouwers et al., 2011; Ho, 2016), autonomy (Brouwers et al., 2011; Schwab &amp; Iwanicki, 1982), ambiguity role (Papastylianou,  Kaila, &amp; Polychronopoulos, 2009), overload (Yong &amp; Yue, 2007) and negative feedback (Elloy, Everett, &amp; Flynn, 1991).</p>     <p>It is possible to think that, as teachers count with the support of coworkers, develop their activities with autonomy, which is an important  characteristic for engagement with the job (Yong &amp; Yue, 2007), act free from doubt about the activities they need to carry out, which are the  competences of their role with an workload assessed as adequate, they manage to dimension their goals, to see them as attractive and to obtain  better results and personal satisfaction (Gil-Monte, 2005).</p>     <p>The psychological exhaustion dimension was associated with overload, negative feedback and interpersonal conflicts, and to less social support  and autonomy. Increased work demand with low autonomy, in an environment with conflictive relationships, boosts psychological exhaustion.</p>     <p>The context of intensification of the teaching profession contributes to immediacy and urgency, because crisis situations are the most  recurrent ones in everyday living. On top of that, there is the time pressure resulting from administrative systems that push teachers into  developing their job, without considering the actual time necessary for its execution. In an attempt to handle the complexity derived from  constant educational reforms, the state hires resource-people to provide specialized services that cause some role confusion and may originate  interpersonal conflicts (Maranda et al., 2014) and less social support (Kahn, Schneider, Jenkins-Henkelman, &amp; Moyle, 2006).</p>     ]]></body>
<body><![CDATA[<p>Indolence had as predictors overload, interpersonal conflicts, negative feedback, role conflict and less social support. The overload routine,  permeated by interpersonal stressors, leads the teacher to develop negative attitudes of indifference, insensitivity and detachment from  students. Moreover, the teacher often receives messages to perform two or more conflicting roles, having to act contrarily to his or her  conceptions of educative practice (Nwikina &amp; Nwanekezi, 2010).</p>     <p>The teaching profession has as an important effectiveness indicator the positive feedback on a teacher&rsquo;s performance that is primarily  established through interpersonal relationships. In a context of conflicting relationships and little social support, there is the predominance  of a negative program focused more on difficulties than on achievements.</p>     <p>Concerning the guilt dimension, it was observed that the greater the interpersonal conflicts, the overload, the role ambiguity and the social  support deficiency, the stronger the feeling of guilt. There is a social expectation about a teacher&rsquo;s attributions, which is interiorized  by the subject. It is invariably linked to the concept of relationship. The guilt is a result of the perception of not being performing the  expected role. Interpersonal conflicts configure a scenario of ineffectiveness that, connected with overload, prevents the actual dimensioning of  the teacher&rsquo;s skills, in addition to making the function to be carried out unclear. Social support emerges as a risk factor for guilt. It  is possible that, as teachers do not count with appreciation and support from students, parents and the direction board, they do not think they  are doing their job good enough, believing that their performance does not meet the expectations.</p>     <p>Results point predictor models of burnout dimensions composed of psychosocial risks derived from the type of the activity, and of  interpersonal risks, with highlight to the variables social support and overload, which are present in all of the dimensions. This reveals the  importance of balancing the activities according to the teacher&rsquo;s workload, as well as of developing positive interpersonal  relationships.</p>     <p>&nbsp;</p>     <p><i>Strengths and limitations</i></p>     <p>One of the strengths of the present study is that data among teachers was collected only in public schools, reducing possible biases  associated with data collection in private schools that present differentiated conditions of work. Additionally, this study made use of a strong  theoretical basis with reliable and valid instruments to collect data. The study contributes to the construction of a theoretical model based on  the stressors identified in the literature, which are usually evaluated individually or with few stressors.</p>     <p>The sample size used was sufficient to provide power for a significant effect size in statistical analysis, as recommended by Cohen (1992).</p>     <p>The results of this study should be considered in light of some limitations, such as the cross-sectional design, which does not allow for  conclusions in terms of causality. Another limitation of the study is the use of self-reported measures, which may increase the possibility of  response bias. The third one is the healthy worker effect, a peculiar question in cross-sectional studies on occupational epidemiology that often  exclude a possible ill subject (McMichael, 1976). This situation may underestimate the size of the identified risks, because the most affected  individuals cannot keep their jobs, having to leave it temporarily for health treatment.</p>     <p>Therefore, further studies, of longitudinal design, should be conducted in order to assess the incidence of the syndrome and its causal  factors. Studies with teachers from other regions and states and from other education realities are recommended to broaden the knowledge about  Burnout among municipal school teachers.</p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><b>Conclusion</b></p>     <p>Overall, this study contributes to the development of theoretical knowledge in the burnout area among teachers. Furthermore, the findings have  important implications for the occupational psychology field, practitioners and school principals. Particularly, results should be used to shed  light on possible applied interventions among teachers, such as the improvement of positive social support and the accomplishment of training  programs aimed at developing interpersonal relationship skills. At the organizational level, interventions should consider factors related to  overload and role conflict and ambiguity.</p>     <p>This study has several important implications for policymakers. In this sense, it is important that public managers and educators discuss a  teacher&rsquo;s role, seeking a realistic replanning in terms of workload and clarity in the attributions considering, in addition to work  issues, the health of the whole school context.</p>     <p>&nbsp;</p>     <p><b>References</b></p>     <!-- ref --><p>Ahola, K., V&auml;&auml;n&auml;nen, A., Koskinen, A., &amp; Shirom, A. (2010). Burnout as a predictor of all-cause mortality among industrial  employees: A 10-year prospective registerlinkage study. <i>Journal of Psychosomatic Research, 69</i>, 51-57. Retrieved from  <a href="http://dx.doi.org/10.1016/j.jpsychores.2010.01.002" target="_blank">http://dx.doi.org/10.1016/j.jpsychores.2010.01.002</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=045912&pid=S0870-8231201900020000200001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p>Amazarray, M. R., C&acirc;mara, S. G., &amp; Carlotto, M. S. (2014). Investiga&ccedil;&atilde;o em sa&uacute;de mental e trabalho no  &acirc;mbito da sa&uacute;de p&uacute;blica no Brasil. In A. R. C. Merlo, C. G. Bottega, &amp; K. V. Perez (Eds.), <i>Aten&ccedil;&atilde;o  &agrave; sa&uacute;de mental do trabalhador: Sofrimento e transtornos psi&#769;quicos relacionados ao trabalho</i> (pp. 75-92). Porto Alegre:  Evangraf.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=045913&pid=S0870-8231201900020000200002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></p>     <p>Bland, J., &amp; Altman, D. (1997). Statistics notes: Cronbach&rsquo;s alpha. <i>British Medical Journal, 314</i>, 570-572.</p>     ]]></body>
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<body><![CDATA[<p>Submitted: 26/08/2017 Accepted: 13/11/2018</p>      ]]></body><back>
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