METHODS: Baseline and 1-year follow-up data from 5800 participants in the PREDIMED-Plus study were used. Each participant's food intake was estimated using validated semi-quantitative food frequency questionnaires, and the adherence to MD using the Dietary Score. The influence of diet on environmental impact was assessed through the EAT-Lancet Commission tables. The influence of diet on environmental impact was assessed through the EAT-Lancet Commission tables. The association between MD adherence and its environmental impact was calculated using adjusted multivariate linear regression models.
RESULTS: After one year of intervention, the kcal/day consumed was significantly reduced (-125,1 kcal/day), adherence to a MD pattern was improved (+0,9) and the environmental impact due to the diet was significantly reduced (GHG: -361 g/CO2-eq; Acidification:-11,5 g SO2-eq; Eutrophication:-4,7 g PO4-eq; Energy use:-842,7 kJ; and Land use:-2,2 m2). Higher adherence to MD (high vs. low) was significantly associated with lower environmental impact both at baseline and one year follow-up. Meat products had the greatest environmental impact in all the factors analysed, both at baseline and at one-year follow-up, in spite of the reduction observed in their consumption.
CONCLUSIONS: A program promoting a MD, after one year of intervention, significantly reduced the environmental impact in all the factors analysed. Meat products had the greatest environmental impact in all the dimensions analysed.
OBJECTIVES: This paper discusses activity detection and analysis (ADA) using security robots in workplaces. The application scenario of this method relies on processing image and sensor data for event and activity detection. The events that are detected are classified for its abnormality based on the analysis performed using the sensor and image data operated using a convolution neural network. This method aims to improve the accuracy of detection by mitigating the deviations that are classified in different levels of the convolution process.
RESULTS: The differences are identified based on independent data correlation and information processing. The performance of the proposed method is verified for the three human activities, such as standing, walking, and running, as detected using the images and sensor dataset.
CONCLUSION: The results are compared with the existing method for metrics accuracy, classification time, and recall.
METHODS: We searched online databases for all related papers through the comprehensive international data bases of Institute of PubMed/ MEDLINE, ISI/WOS and Scopus up to December 2019, using relevant keywords. Overall, 14 studies were included in this systematic review and meta-analysis.
RESULTS: The total sample size of all selected studies was 399,550 individuals with age range of 6 to ≥65 years old. We found a significant positive association between skipping breakfast and Odds Ratio (OR) of depression (pooled OR: 1.39; 95% CI: 1.34-1.44), stress (pooled OR: 1.23; 95% CI: 1.04-1.43) and psychological distress (pooled OR: 1.55; 95% CI: 1.47-1.62). In contrast, there was no significant association between skipping breakfast and anxiety in all age cohort (pooled OR: 1.31; 95% CI: 0.97-1.65). However, subgroup analysis based on age stratification showed that there was a significant positive association between skipping breakfast and anxiety in adolescences (pooled OR: 1.51; 95% CI: 1.25-1.77).
CONCLUSION: In conclusion, skipping breakfast was positively associated with odds of depression, stress and psychological distress in all age groups and anxiety in adolescence, underlining impact of breakfast on mental health.
METHODS: Our literature search of peer-reviewed English language primary source articles published between 1991 and 2018 was conducted across six databases (Embase, PubMed, Web of Sciences, CINAHL, PsychINFO, Academic Search Complete) and Google Scholar, yielding 3844 articles. After duplicate removal, we independently screened 3413 studies to determine whether they met inclusion criteria. Seventy-six studies were identified for inclusion in this review. Data were extracted on study characteristics, content, and findings.
FINDINGS: Seventy-six studies met the inclusion criteria. The most represented subgroups were Chinese (n = 74), Japanese (n = 60), and Filipino (n = 60), while Indonesian (n = 1), Malaysian (n = 1), and Burmese (n = 1) were included in only one or two studies. Several Asian American subgroups listed in the 2010 U.S. Census were not represented in any of the studies. Overall, the most studied health conditions were cancer (n = 29), diabetes (n = 13), maternal and infant health (n = 10), and cardiovascular disease (n = 9). Studies showed that health outcomes varied greatly across subgroups.
CONCLUSIONS: More research is required to focus on smaller-sized subgroup populations to obtain accurate results and address health disparities for all groups.
METHODS: Data were analysed from patients in a multinational longitudinal cohort with known anti-dsDNA results from 2013 to 2021. Patients were categorized based on their anti-dsDNA results as persistently negative, fluctuating or persistently positive. Cox regression models were used to examine longitudinal associations of anti-dsDNA results with flare.
RESULTS: Data from 37 582 visits of 3484 patients were analysed. Of the patients 1029 (29.5%) had persistently positive anti-dsDNA and 1195 (34.3%) had fluctuating results. Anti-dsDNA expressed as a ratio to the normal cut-off was associated with the risk of subsequent flare, including in the persistently positive cohort (adjusted hazard ratio [HR] 1.56; 95% CI: 1.30, 1.87; P 3. Both increases and decreases in anti-dsDNA more than 2-fold compared with the previous visit were associated with increased risk of flare in the fluctuating cohort (adjusted HR 1.33; 95% CI: 1.08, 1.65; P = 0.008) and the persistently positive cohort (adjusted HR 1.36; 95% CI: 1.08, 1.71; P = 0.009).
CONCLUSION: Absolute value and change in anti-dsDNA titres predict flares, including in persistently anti-dsDNA positive patients. This indicates that repeat monitoring of dsDNA has value in routine testing.
MATERIALS AND METHODS: Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution. The consideration of the dosimetric data as covariates was based on the statement mentioned in the statistical analysis section. The significance of these covariates was extracted from the results section. Descriptive analyses were performed to determine their completeness and inclusion as covariates.
RESULTS: A total of 174 studies were found to satisfy the inclusion criteria. Studies published ≥2010 showed increased use of dose distribution information (p = 0.07). 33% of studies did not include any dose features in the analysis of gene-toxicity associations. Only 29% included dose distribution features as covariates and reported the results. 59% of studies which included dose distribution features found significant associations to toxicity.
CONCLUSION: A large proportion of studies on the correlation of genetic markers with radiotherapy-related side effects considered no dosimetric parameters. Significance of dose distribution features was found in more than half of the studies including these features, emphasizing their importance. Completeness of radiation-specific clinical data may have increased in recent years which may improve gene-toxicity association studies.
AIM: The main purpose of this study was to determine the level of knowledge and attitudes regarding pain among nurses working in tertiary care in a local setting and the factors that may be associated with this.
MATERIALS AND METHODS: This cross-sectional research study used a modified version of the Nurses' Knowledge and Attitudes Survey (NKAS) regarding pain. Basic demographic data were obtained for further correlation with the level of pain knowledge.
RESULTS: A total of 566 nurses, 34 male and 532 female, volunteered to participate in this study. The response rate (RR) was 76%, with an overall mean percentage score of 42.7±10.9 (range: 5-92.5). The majority of participants were younger nurses below 40 years of age and more than 70% had worked for less than 10 years (6.6±4.45). Up to 92% had never had any formal education in pain management in general. The total mean score of correct answers was 58.6±9.58, with oncology nursing staff scoring a higher percentage when compared with nurses from other general and critical care wards (63.52±9.27, p<0.045). Only 2.5% out of all participants obtained a score of 80% or greater. The majority of the oncology nurses achieved the expected competency level (p<0.03).
CONCLUSIONS: The present findings give further support for the universal concern about poor knowledge and attitudes among nurses related to the optimal management of pain. The results indicated that neither number of years working nor age influenced the level of knowledge or attitudes of the practising nurses. Oncology nursing staff consistently scored better than the rest of the cohort. This reflects that clinical experience helps to improve attitudes and knowledge concerning better pain management.
KEY FINDINGS: Research philosophy has been introduced to offer an alternative way to think about problem-driven research that is normally conducted. To clarify the research philosophy, four research paradigms, i.e. positivism (or empiricism), postpositivism (or realism), interpretivism (or constructivism) and pragmatism, are investigated according to philosophical realms, i.e. ontology, epistemology, axiology and logic of inquiry. With the application of research philosophy, some examples of quantitative and qualitative research were elaborated along with the conventional research approach. Understanding research philosophy is crucial for pharmacy researchers and pharmacists, as it underpins the choice of methodology and data collection.
CONCLUSIONS: The review provides the overview of research philosophy and its application in pharmacy practice research. Further discussion on this vital issue is warranted to help generate quality evidence for pharmacy practice.