50 research outputs found

    Why do you dance? Development of the Dance Motivation Inventory (DMI)

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    Dancing is a popular form of physical exercise and studies have show that dancing can decrease anxiety, increase self-esteem, and improve psychological wellbeing. The aim of the current study was to explore the motivational basis of recreational social dancing and develop a new psychometric instrument to assess dancing motivation. The sample comprised 447 salsa and/or ballroom dancers (68% female; mean age 32.8 years) who completed an online survey. Eight motivational factors were identified via exploratory factor analysis and comprise a new Dance Motivation Inventory: Fitness, Mood Enhancement, Intimacy, Socialising, Trance, Mastery, Self-confidence and Escapism. Mood Enhancement was the strongest motivational factor for both males and females, although motives differed according to gender. Dancing intensity was predicted by three motivational factors: Mood Enhancement, Socialising, and Escapism. The eight dimensions identified cover possible motives for social recreational dancing, and the DMI proved to be a suitable measurement tool to assess these motives. The explored motives such as Mood Enhancement, Socialising and Escapism appear to be similar to those identified in other forms of behaviour such as drinking alcohol, exercise, gambling, and gaming

    Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres

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    Due to the problems of measurement and the lack of nationally representative data, the extent of compulsive buying behaviour (CBB) is relatively unknown. Methods: The validity of three different instruments was tested: Edwards Compulsive Buying Scale (ECBS; Edwards, 1993), Questionnaire About Buying Behavior (QABB; Lejoyeux & Adès, 1994) and Richmond Compulsive Buying Scale (RCBS; Ridgway, et. al., 2008) using two independent samples. One was nationally representative of the Hungarian population (N=2710) while the other comprised shopping mall customers (N=1447). Results: A new, four-factor solution for the ECBS was developed (ECBS-R), and confirmed the other two measures. Additionally, cut-off scores were defined for all measures. Results showed that the prevalence of CBB is 1.85% (with QABB) in the general population but significantly higher in shopping mall customers (8.7% with ECBS-R, 13.3% with QABB and 2.5% with RCBS-R). Conclusions: Due to the diversity of content, each measure identifies a somewhat different CBB group

    Prevalence of problematic internet use in Slovenia

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    BACKGROUND: Internet use is an integral part of our everyday activities; however, Internet use may become problematic and harmful in a minority of cases. The majority of reported prevalence rates of problematic Internet use refer to adolescent samples, whereas epidemiological studies on representative adult populations are lacking. This study aimed to reveal the prevalence and characteristics of problematic Internet use in Slovenia. METHODS: Problematic Internet Use Questionnaire (PIUQ) was included in European Health Interview Study (EHIS) on representative Slovenian sample. The frequency of Internet use and problematic Internet use were both assessed. RESULTS: 59.9% of Slovenian adult population uses the Internet daily, and 3.1% are at risk of becoming problematic Internet users, 11% in the age group from 20 to 24 years. Those being at risk for becoming problematic Internet users are younger (mean age 31.3 vs. 48.3 for non-problematic users), more likely to be males (3.6% of males, whereas 2.6% of females are affected), students (12.0%), unemployed (6.3%) or unable to work (8.7%), single (6.5%), with high education (4.5%). Regression analysis revealed that the strongest predictor of being at risk for problematic Internet use is age (ß=-0.338, p<0.001); followed by high educational level (ß=0.145; p<0.001) and student status (ß=0.136; p<0.001). CONCLUSION: 3.1% of Slovenian adult population are at risk of becoming problematic Internet users, whereas 3 out of 20 Slovenian adolescents aged from 18 to 19 years are at risk (14.6%). Prevention programs and treatment for those affected are paramount, especially for the young generation

    Biodiversidad y estudio biotecnológico de levaduras en quesos de cabra procedentes de valles y de la Quebrada de Humahuaca - Jujuy - Argentina.

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    En el presente trabajo se determinó la cantidad, biodiversidad y propiedadestecnológicas de levaduras presentes en quesos frescos de cabra en zonas de Valle s y  quebrada  de  Humahuaca  de  la  provincia  de  Jujuy.  De  las  muestras  (n=30)  se aislaron  113  cepas,  las  cuales  fueron  identificadas  y  estudiadas  en  las  siguientes propiedades  tecnológicas:  proteólisis,  lipólisis,  producción  de  acetoína,  asimilación del citrato y  producción de pigmentos marrones. Los recuentos oscilaron entre 5,86 log  UFC  g-1a  7,10  log  UFC.g-1y  las  especies  aisladas  fueron  Debaryomyces hansenii,Zygosaccharomyces  rouxii,  Kluyveromyces  lactis,  Wickerbamiela domerquiae,Dekkera  bruxellensis,  Candida  valdiviana,  Candida  novakii,  Dekkera bruxellensis,Candida  versatilis,  Candida  magnoliae,  Candida  albicans,  Pichia anómala,  Dekkera  anómala,  Rodotorula  spp.  Las  cepas  de  D.  hansenii,  C. magnoliae,  Z.  rouxii,  C.versatilis  y  K.  lactis  tuvieron  fuerte  actividad  proteolítica  y lipólitica.  Solo  una  cepa  de  W.  domerquiae  tuvo  buena  actividad  proteolítica.  Tres cepas  de  K.  lactis  produjeron  acetoína  y  especies  D.  bruxellensis  (3  cepas)  y  C. versatilis  (1  cepa)  metabolizaron  el  citrato,  hidrolizaron  la  caseína  y  tuvieron actividad  lipolítica.  Es  por  ello  que  se  puede  afirmar  que  las  levaduras  juegan  un papel importante como cultivos iniciadores en la  fabricación de quesos y como un suministro de enzimas útiles en la aceleración del proceso de maduración

    An empirical investigation of dance addiction

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    Although recreational dancing is associated with increased physical and psychological well-being, little is known about the harmful effects of excessive dancing. The aim of the present study was to explore the psychopathological factors associated with dance addiction. The sample comprised 447 salsa and ballroom dancers (68% female, mean age: 32.8 years) who danced recreationally at least once a week. The Exercise Addiction Inventory (Terry, Szabo, & Griffiths, 2004) was adapted for dance (Dance Addiction Inventory, DAI). Motivation, general mental health (BSI-GSI, and Mental Health Continuum), borderline personality disorder, eating disorder symptoms, and dance motives were also assessed. Five latent classes were explored based on addiction symptoms with 11% of participants belonging to the most problematic class. DAI was positively associated with psychiatric distress, borderline personality and eating disorder symptoms. Hierarchical linear regression model indicated that Intensity (ß=0.22), borderline (ß=0.08), eating disorder (ß=0.11) symptoms, as well as Escapism (ß=0.47) and Mood Enhancement (ß=0.15) (as motivational factors) together explained 42% of DAI scores. Dance addiction as assessed with the Dance Addiction Inventory is associated with indicators of mild psychopathology and therefore warrants further research

    A four-factor model of work addiction: the development of the work addiction risk test revised (WART-R)

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    Work has a crucial role in individuals’ productivity, social life and psychological wellbeing. Despite various definitions of work addiction in the literature, the number of psychometrically reliable instruments is limited. The aim of this study was to psychometrically test and revise the factor structure of the Work Addiction Risk Test (WART), one of the most widely used instruments assessing work addiction. The full version of the WART (Robinson, Post, & Khakee, 1992) was assessed using a nationally representative sample of Hungary (N = 2710). To increase validity, the analyses were conducted among individuals who worked at least 40 hours a week (N = 1286, 43% women, mean age = 38.9 years, SD = 10.8). Using confirmatory factor analysis, the originally proposed four- and five-factor solutions did not have adequate model fit indices. Thus, the sample was randomly divided into two subsamples. Exploratory factor analysis conducted in the first half of the sample supported a four-factor solution, which was confirmed in the other half of the sample. The Work Addiction Risk Test Revised (WART-R) comprises 17 items and four factors (i.e., Overcommitment, Impatience, Hard-working, and Salience). As a conclusion, the WART-R is suitable to be used as an indicator work addiction based on clinically relevant symptom dimensions

    Psychometric properties of the Problematic Internet Use Questionnaire Short-Form (PIUQ-SF-6) in a nationally representative sample of adolescents

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    Despite the large number of measurement tools developed to assess problematic Internet use, numerous studies use measures with only modest investigation into their psychometric properties. The goal of the present study was to validate the short (6-item) version of the Problematic Internet Use Questionnaire (PIUQ) on a nationally representative adolescent sample (n = 5,005; mean age 16.4 years, SD = 0.87) and to determine a statistically established cut-off value. Data were collected within the framework of the European School Survey Project on Alcohol and Other Drugs project. Results showed an acceptable fit of the original three-factor structure to the data. In addition, a MIMIC model was carried out to justify the need for three distinct factors. The sample was divided into users at-risk of problematic Internet use and those with no-risk using a latent profile analysis. Two latent classes were obtained with 14.4% of adolescents belonging to the at-risk group. Concurrent and convergent validity were tested by comparing the two groups across a number of variables (i.e., time spent online, academic achievement, self-esteem, depressive symptoms, and preferred online activities). Using the at-risk latent profile analysis class as the gold standard, a cut-off value of 15 (out of 30) was suggested based on sensitivity and specificity analyses. In conclusion, the brief version of the (6-item) PIUQ also appears to be an appropriate measure to differentiate between Internet users at risk of developing problematic Internet use and those not at risk. Furthermore, due to its brevity, the shortened PIUQ is advantageous to utilize within large-scale surveys assessing many different behaviors and/or constructs by reducing the overall number of survey questions, and as a consequence, likely increasing completion rates

    Problematic social media use: results from a large-scale nationally representative adolescent sample

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    Despite social media use being one of the most popular activities among adolescents, prevalence estimates among teenage samples of social media (problematic) use are lacking in the field. The present study surveyed a nationally representative Hungarian sample comprising 5,961 adolescents as part of the European School Survey Project on Alcohol and Other Drugs (ESPAD). Using the Bergen Social Media Addiction Scale (BSMAS) and based on latent profile analysis, 4.5% of the adolescents belonged to the at-risk group, and reported low self-esteem, high level of depression symptoms, and elevated social media use. Results also demonstrated that BSMAS has appropriate psychometric properties. It is concluded that adolescents at-risk of problematic social media use should be targeted by school-based prevention and intervention programs
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