This article presents preliminary results from a multi-stage quantitative study of 'multiple exclusion homelessness' (MEH) in seven urban locations across the UK. It demonstrates a very high degree of overlap between a range of experiences associated with 'deep social exclusion' -namely, homelessness, substance misuse, institutional care and 'street culture' activities (such as begging and street drinking). It also provides evidence to support the contention that homelessness is a particularly prevalent form of exclusion, with its experience reported as widespread by those accessing low threshold support services targeted at other dimensions of deep exclusion, such as drug misuse. Further, the analysis presented indicates that the nature of MEH varies geographically, with the profile of the population affected looking quite different in Westminster (London) than in the other urban locations. The main explanation for this appears to be the exceptionally high proportion of migrants in the MEH population in Westminster, who tend to report lower overall levels of personal trauma and vulnerability than the indigenous MEH population.

The strict CO2 emission targets set to tackle the global climate change associated with greenhouse gas emission exerts so much pressure on our cities which contribute up to 75 % of the global carbon dioxide emission level, with buildings being the largest contributor (UNEP, 2015). Premised on this fact, urban planners are required to implement proactive energy planning strategies not only to meet these targets but also ensure that future cities development is performed in a way that promotes energy-efficiency. This article gives an overview of the stateof-art of energy planning and forecasting approaches for aiding physical improvement strategies in the building sector. Unlike previous reviews, which have only addressed the strengths as well as weaknesses of some of the approaches while referring to some relevant examples from the literature, this article focuses on critically analysing more approaches namely; 2D GIS and 3DGIS (CityGML) based energy prediction approaches, based on their frequent intervention scale, applicability in the building life cycle, and conventional prediction process. This will be followed by unravelling the gaps and issues pertaining to the reviewed approaches. Finally, based on the identified problems, future research prospects are recommended.

Several studies have been carried out which mainly focus on the analysis of the lipid profile in vegetarians and nonvegetarians. However, few studies have been undertaken in this population oriented to quality of life and health. This study aimed to compare health-related quality of life, blood pressure, and biochemical and anthropometric profile in vegetarians and nonvegetarians. The study included 149 participants out of an initial sample of 162: 62 vegetarians and 87 nonvegetarians. Health-related quality of life was assessed with the SF-12 Health Questionnaire version 2 and was related with the lipid profile, glucose, blood pressure, anthropometric measures, and sociodemographic characteristics. Vegetarians presented better Body Mass Index (BMI) and waist circumference (WC), as well as higher LDL levels. No significant differences in HDL and TG concentrations were found. Serum glucose concentrations were significantly lower among vegetarians. Nonvegetarian males had higher diastolic pressure levels. Vegetarian women had significantly higher levels of systolic pressure. As for the physical health and mental health components of quality of life, no significant differences were found in vegetarian and nonvegetarian women and men. In conclusion, vegetarians presented a better anthropometric profile, lower glycaemia, and higher LDL levels but no significant differences in health-related quality of life compared with nonvegetarians.

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Cross-cultural measurement invariance of the fear of COVID-19 scale in seven Latin American countries Tom as Caycho-Rodr ıguez a

The implementation of a vaccine against COVID-19 is one of the most important health strategies to mitigate the spread of the disease. The objective of this study was to estimate the prevalence of the intention to be vaccinated against COVID-19 and its predictors in older Peruvian adults. This is a cross-sectional study, where information was collected through an online survey regarding vaccination intention of the participants, as well as sociodemographic and psychological variables. A multiple regression analysis was applied to identify predictors of intention to be vaccinated against COVID-19. We evaluated 245 participants, who had a mean age of 72.74 years old (SD = 6.66). 65.5% of these older adults expressed a high likelihood of accepting vaccination, while 20.9% expressed a low likelihood of accepting vaccination, and 13.6% were hesitant. Eleven predictors were identified that explained 66.69% of the intention to vaccinate against COVID-19. This identified place of residence, perceived likelihood of contracting COVID-19, severity of previous infection with COVID-19, fear of the disease, previous refusal of a vaccine, concerns about vaccine sales and speculation, and trust toward vaccines against COVID-19, as the main predictors. Our results show that confidence in vaccines and previous vaccine refusal are relevant predictors of intention to vaccinate against COVID-19 in older adults; these findings may be useful to guide the development of campaigns for the immunization of this vulnerable group in the current pandemic.

The COVID-19 pandemic has gravely impacted Latin America. A model was tested that evaluated the contribution of socio-demographic factors and fear of COVID-19 on anxiety and depression in samples of residents in seven Latin American countries (Argentina, Ecuador, Mexico, Paraguay, Uruguay, Colombia, and El Salvador). A total of 4,881 individuals, selected by convenience sampling, participated in the study. Moderate and severe levels of depressive symptoms and anxiety were identified, as well as a moderate average level of fear of COVID-19. In addition, it was observed that about a quarter of the participants presented symptoms of generalized anxiety disorder and a major depressive episode. Fear of COVID-19 significantly and positively predicted anxiety and depressive symptoms, whereas the effects of socio-demographic variables are generally low [χ2(287) = 5936.96, p < 0.001; RMSEA = 0.064 [0.062, 0.065]; CFI = 0.947; and SRMR = 0.050]. This suggests the need for the implementation of preventive actions in the general population of these countries, with the aim of reducing the prevalence of depressive, anxious and fearful symptoms related to COVID-19.

Most studies only describe mental health indicators (anxiety, depression, insomnia, and stress) and the risk factors associated with these indicators during the pandemic (sex, student status, and specific physical symptoms). However, no explanatory studies have been found that assess the impact of variables associated with COVID-19. Against this background, the objective of the study was to evaluate the impact of the fear of catching COVID-19 on the level of anxiety, depression, and insomnia in 947 university students of both sexes (41.6% males and 58.4% females) between the ages of 18 and 35 ( M = 21. 6; SD = 3. 4). The Fear of catching COVID-19 Scale, the Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaire (PHQ-9), and the Insomnia Severity Index (ISI) were used to measure the variables. The results of the study show that the fear of catching COVID-19 significantly influences the level of anxiety (β = .52; p < .01), insomnia (β = .44; p<.01), and depression (β = .50; p < .01) experienced by university students (χ2 = 2075.93; df = 371; p = .000; RMSEA = .070 [CI 90% .067–.073]; SRMR = .055; CFI = .95; TLI = .94). The descriptive results show that a notable percentage of university students present significant symptoms of anxiety (23%), depression (24%), and insomnia (32.9%). It is concluded that the fear of catching COVID-19 is a serious health problem since it influences the appearance of anxiety, depression and insomnia symptoms.