Izhodišča: Namen raziskave je bil ugotoviti povezanost med športno dejavnostjo (ŠD) in doživljanjem stresa ter vrednotenjem zadovoljstva z življenjem odraslih Slovencev.
Podatki so bili pridobljeni s ...pomočjo anketnega vprašalnika na reprezentativnem vzorcu 856 odraslih Slovencev in Slovenk (povprečne starosti 39 ± 13,7 leta). ŠD je bila opredeljena s številom dni ukvarjanja s katero koli športno dejavnostjo tedensko. Stres je bil opredeljen s pogostostjo doživljanja devetih znakov stresa na štiristopenjski lestvici. Pri oceni zadovoljstva z življenjem so udeleženci raziskave izrazili strinjanje oziroma nestrinjanje s petimi postavkami na petstopenjski lestvici. Vrednosti prve glavne komponente stresa in lestvice zadovoljstva z življenjem je bila določena z Anderson-Rubinovo metodo. Povezanost spremenljivk je bila ocenjena s Spearmanovim koeficientom korelacije in s splošnimi linearnimi modeli.
ŠD je bila statistično značilno povezana s stresom (p = ,03) in z zadovoljstvom z življenjem (p < ,01). V linearnih modelih imajo izbrani dejavniki (ŠD, starost, spol in izobrazba) skupaj statistično značilen vpliv (pri stresu: R
= ,040; p < ,001; pri zadovoljstvu: R
= ,068; p < ,001); ŠD ima statistično značilen vpliv le na oceno zadovoljstva z življenjem (η
.= ,020; p = ,002). Na stres statistično značilno vplivajo vsi preostali dejavniki, na zadovoljstvo z življenjem pa le izobrazba.
Na podlagi dobljenih rezultatov lahko sklepamo, da so športno dejavnejši odrasli Slovenci manj pod stresom in bolj zadovoljni s svojim življenjem, vendar je ta vpliv ob upoštevanju vpliva starosti, spola in izobrazbe razmeroma majhen.
Objective: The aim of the study was to investigate the correlation of sports activity (SA) with stress experience and evaluation of satisfaction with life among adult Slovenians.
Data was collected with a survey on a representative sample of 856 adult Slovenians (average age 39±13.73 years). We determined sports activity with incidence of any sports activity - times per week. To determine mental health, the respondents marked how often the 9 signs of stress appeared within a last month and how satisfied they were with their life. Scores on the first component of stress and satisfaction with life scale were computed using Anderson-Rubin method. The correlations between variables were evaluated using the Spearman correlation coefficient and general linear models.
SA is statistically significantly correlated with stress (p= .03) and satisfaction with life (p= .00). In the models for prediction of stress and satisfaction with life, the set of predictors (SA, age, gender and education) has a significant effect (R
= .040, p< .001; R
= .068, p< .001), with SA having a statistically significant effect only on value of life satisfaction (η
= .020, p= .002). A set of all mentioned predictors has significant effect on stress, while only education beside SA has a statistically significant effect on satisfaction with life.
It could be concluded that individuals that are more active in sports experience the signs of stress less often and that they are more satisfied with their lives, but taking age, gender and education into consideration, SA is not the main predictor.
Purpose/Objective: The aim of this research was to establish whether there is a correlation between sport activity and drug-taking among 680 14-year-old pupils, and to establish whether the ...drug-sports link depends on the type of sports. Methods: We used a questionnaire with 38 variables on sports activities and drugs. The probability relations among the variables were tested by chi-square. Results: The analysis has shown that 74.6 % male and 79.3 % female pupils practise sports in their leisure time. On average, they practise sports 2 to 3 times a week. The majority of male pupils practise sports competitively, while female pupils primarily practise unorganized recreational sports. 7.3 % male and 16.6 % female pupils smoke; the majority of male pupils had the first cigarette at the age of 13, female pupils at the age of 12. 87-4 % male and 85.5 % female pupils had tried an alcohol beverage. 21.6 % male and 29.3 % female pupils had tried drugs. We have ascertained that there is some statistically significant correlation between sports activities and taking licit and illicit drugs. A statistically characteristic correlation has been established for alcohol drinking with male pupils and for smoking with female pupils. We also observed a significant correlation between organized sports as the type of sports and drug use. Conclusion: We can conclude that persistent sports inactivity in adolescence may increase the risk of alcohol use among male, and smoking among female pupils. Participation in organized sports, as opposed to unorganized and competitive sports, may reduce illicit drug use.
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