ABSTRACT
Abstract The present study aimed at determining the association between life satisfaction and subjective happiness while controlling for social desirability, and to explore whether overall satisfaction with life can be predicted by satisfaction with life dimensions while controlling for social desirability. The study had a quantitative, non-experimental cross-sectional design, with 279 participants from different universities of the Council of Rectors of Chile recruited through a non-probabilistic sampling method for convenience. The participants completed an online questionnaire that inquired about their global and dimensional satisfaction with life, subjective happiness, social desirability, and sociodemographic variables. The data was analysed using partial correlations and multiple regression analyses. Bivariate correlation results indicate weak and direct associations between social desirability and life satisfaction and subjective happiness, and a strong and direct association between the latter. According to the results of the partial correlation analysis, the association between life satisfaction and subjective happiness is maintained even when social convenience is controlled. The results of the multiple regression analyses indicate that although social desirability predicts life satisfaction by itself, when satisfaction with life dimensions is added to the model, social desirability loses its predictive power. In conclusion, although social desirability is associated with the two components, affective and cognitive, of subjective well-being, this association loses predictive power when other variables are considered in predictive models. Study limitations include a relatively low reliability score on the social desirability scale, possible bias due to the study's self-report design and sampling method used. The present study aimed at determining the association between life satisfaction and subjective happiness while controlling for social desirability, and to explore whether overall satisfaction with life can be predicted by satisfaction with life dimensions while controlling for social desirability. The study had a quantitative, non-experimental cross-sectional design, with 279 participants from different universities of the Council of Rectors of Chile recruited through a non-probabilistic sampling method for convenience. The participants completed an online questionnaire that inquired about their global and dimensional satisfaction with life, subjective happiness, social desirability, and sociodemographic variables. The data was analysed using partial correlations and multiple regression analyses. Bivariate correlation results indicate weak and direct associations between social desirability and life satisfaction and subjective happiness, and a strong and direct association between the latter. According to the results of the partial correlation analysis, the association between life satisfaction and subjective happiness is maintained even when social convenience is controlled. The results of the multiple regression analyses indicate that although social desirability predicts life satisfaction by itself, when satisfaction with life dimensions is added to the model, social desirability loses its predictive power. In conclusion, although social desirability is associated with the two components, affective and cognitive, of subjective well-being, this association loses predictive power when other variables are considered in predictive models. Study limitations include a relatively low reliability score on the social desirability scale, possible bias due to the study's self-report design and sampling method used.
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ABSTRACT
El objetivo de este estudio fue caracterizar bacterias halófilas con actividad amilolítica provenientes de las Salinas de San Blas-Junín, ubicadas en los Andes peruanos aproximadamente a 4100 m de altitud. Este estudio se realizó con 34 bacterias aisladas de muestras de suelos las cuales se cultivaron en agar agua de sales (SW) 5 % conteniendo extracto de levadura 0,5 % y almidón 1 %. El 41 % de bacterias mostró la capacidad de hidrolizar almidón, éstas fueron caracterizadas mediante pruebas fisiológicas y bioquímicas convencionales. Tres bacterias fueron Gram-negativas y once Gram-positivas. El 21 % (3/14) creció en un amplio rango de concentración de sales, entre 5 y 20 %. El 14 % (2/14) de las bacterias presentó actividad lipolítica, proteolítica y nucleolítica, y el 29 % (4/14), presentó actividad proteolítica y nucleolítica. Las bacterias se identificaron mediante los perfiles de restricción de los genes ribosómicos 16S amplificados, las enzimas usadas fueron Hae III, BstU I, Hinf I y Cfo I. Los genes ribosómicos 16S de siete bacterias que presentaron perfiles de ADN diferentes se amplificaron, secuenciaron y analizaron mediante programas bioinformáticos. Del análisis fenotípico y molecular de las 14 bacterias amilolíticas se obtuvieron dos grupos, uno perteneciente al género Halomonas (3) y el otro, al género Bacillus (11). Las bacterias amilolíticas caracterizadas podrían ser de potencial uso a nivel industrial.
The aim of this study was to characterize halophilic amylolytic bacteria from San Blas Salterns-Junin, located in the Peruvian Andes at approximately 4 100 m of altitude. This study was conducted with 34 bacteria isolated from soil samples which were cultured in salt water medium (SW) 5 % containing 0,5 % yeast extract and 1 % starch. It was found that 41 % were starch-degrading bacteria, which were further characterized with conventional physiological and biochemical tests. Three bacteria were Gram-negative and eleven Gram-positive. Also, 21 % (3/14) was able to grow in a wide range of saltconcentration from 5 to 20 %. We reported that 14 % (2/14) of bacteria had all lipolytic, proteolytic and nucleolytic activity, and 29 % (4/14) had both proteolytic and nucleolytic activity. Bacteria were identified by restriction 16S ribosomal genes profiles, enzymes used were Hae III, BstU I, Hinf I and Cfo I. 16S ribosomal genes of seven isolated wich showed different DNA profiles were amplified, partial sequenced and analyzed using bioinformatic programs. By both phenotypic and molecular analysis of 14 amylolytic bacteria two groups were obtained, one belonged to the genus Halomonas (3) and the other, to the genus Bacillus (11). The characterized amylolytic bacteria could have a potential industrial use.