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1.
Article in English | MEDLINE | ID: mdl-36612844

ABSTRACT

Persistent stress and insufficient coping strategies have negative consequences for physical and mental health. Teaching adults the skills needed to sustainably improve stress-buffering aspects of their character could contribute to the prevention of stress-related diseases. In this non-randomised, observational, prospective cohort study, participants of a training programme for developing social and personal skills, to which they previously self-assigned, are assessed. The 12-month training programme focuses on improving perceived stress level (primary outcome), health behaviour, presence of common somatic symptoms, satisfaction with life, quality of social relationships, and wellbeing by addressing life goals, meaning in life, sense of coherence, social and personal resources, and transcendence. Study participants are recruited from the training groups via the training organiser. Companions, persons with whom they share a close relationship, are recruited to assess the interpersonal diffusion effects of the training. Matched individuals not participating in the training are the control group. Parameter assessment follows a pre-, post-, and follow-up (6 months) design. Designed to improve health-related outcomes in adults by addressing personality characteristics and using Lozanov's superlearning principles to improve learning efficiency, this training programme is, to the study team's knowledge, the first of its kind. From a research perspective, the outcomes of this study can provide new insights into primary prevention of stress-related diseases and how the effects of these measures are passed on through common personal interaction. The trial has been pre-registered (registration number: NCT04165473).


Subject(s)
Adaptation, Psychological , Mental Health , Adult , Humans , Interpersonal Relations , Observational Studies as Topic , Prospective Studies , Quality of Life , Stress, Psychological/prevention & control
2.
Microb Ecol ; 74(2): 373-383, 2017 08.
Article in English | MEDLINE | ID: mdl-28265693

ABSTRACT

Microbial activity in petroleum reservoirs has been implicated in a suite of detrimental effects including deterioration of petroleum quality, increases in oil sulfur content, biofouling of steel pipelines and other infrastructures, and well plugging. Here, we present a biogeochemical approach, using phospholipid fatty acids (PLFAs), for detecting viable bacteria in petroleum systems. Variations within the bacterial community along water flow paths (producing well, topside facilities, and injection well) can be elucidated in the field using the same technique, as shown here within oil production plants in the Molasse Basin of Upper Austria. The abundance of PLFAs is compared to total cellular numbers, as detected by qPCR of the 16S rDNA gene, to give an overall comparison between the resolutions of both methods in a true field setting. Additionally, the influence of biocide applications on lipid- and DNA-based quantification was investigated. The first oil field, Trattnach, showed significant PLFA abundances and cell numbers within the reservoir and topside facilities. In contrast, the second field (Engenfeld) showed very low PLFA levels overall, likely due to continuous treatment of the topside facilities with a glutaraldehyde-based antimicrobial. In comparison, Trattnach is dosed once per week in a batch fashion. Changes within PLFA compositions across the flow path, throughout the petroleum production plants, point to cellular adaptation within the system and may be linked to shifts in the dominance of certain bacterial types in oil reservoirs versus topside facilities. Overall, PLFA-based monitoring provides a useful tool to assess the abundance and high-level taxonomic diversity of viable microbial populations in oil production wells, topside infrastructure, pipelines, and other related facilities.


Subject(s)
Bacteria/classification , Membrane Lipids/analysis , Oil and Gas Fields/microbiology , Petroleum/microbiology , Austria , RNA, Ribosomal, 16S/genetics
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