Cognitive Screening Instruments for Older Adults with Low Educational and Literacy Levels: A Systematic Review

This study presents a systematic review on existing cognitive screening tools for mild cognitive impairment and dementia in populations with low education and literacy levels. Cochrane Library, PubMed and LILACS databases were examined for studies including adults aged 50 years old or older with low educational level. 61 articles were included. Despite its frequent use, studies on Mini-Mental State Examination (MMSE) revealed that educational level biased the score obtained, regardless of other factors. Separately, the Informant Questionnaire on Cognitive Decline in the Elderly, the Fototest, or the Eurotest, appear to minimize the effect of education and literacy. MMSE is unreliable for individuals with low literacy. Tasks involving reading, writing, arithmetics, drawing, praxis, visuospatial, and visuoconstructive skills have a greater educational bias than naming, orientation, or memory. An adequate determination of educational level and validation of instruments in populations with heterogeneous levels of literacy requires further research.

Depressive and Anxiety Disorders in Alcohol Use and Related Problems among Older African Americans

The older African American (AA) population is expected to triple by 2050; however, research on depression, anxiety, and alcohol use among older AAs is lacking. Current mental health and substance use studies involving older AAs often focus on between-race differences, frequently comparing AAs to Whites, without addressing within-group variation in the former. As such, little is known about the associations between depression, anxiety, alcohol use and related disorders in this population. The present study used data from 2016-2017 Midlife in the United States (MIDUS) Milwaukee 2 to examine whether depressive and anxiety symptoms and disorders are associated with alcohol use and alcohol problems among 274 African Americans aged 50 to 93 (62.8% women). Of the sample, 9.5%, 3.6%, and 6.6% met criteria for depression, generalized anxiety (GAD), and panic disorders, respectively. About 8.1% had drank heavily and 18.5% binge drank in the past month with 10.2% reporting alcohol problems in the past year. Those with depression and those with panic disorder were more likely to be heavy drinkers; while only those with panic disorder were more likely to be binge drinkers. Meeting criteria for depression or panic disorder but not GAD disorder were both more likely to have had alcohol-related problems than those not meeting criteria. Only panic disorder was associated with increased likelihood of drinking more than intended in the past year. Preliminary exploratory findings suggest that the associations between depressive symptoms, type of anxiety disorder, alcohol use, and problems varied by gender.

Identification and classification of cloud computing-based vegetation index values on several lands used in Bogor Regency, Indonesia

Understanding the threshold value classification from various vegetation types may help distinguish spectral reflectance differences in detailed land use studies. However, conducting all of the processes requires relatively large resources regarding manual computation, which could be surpassed by cloud computing. Unfortunately, in Bogor Regency, there is still a lack of research that studies the threshold value of various vegetation types related to forestry and plantation sectors. Land use categories were classified, and threshold values were determined, especially for selected vegetation types including teak, oil palm, rubber, pine, bamboo, and tea based on several vegetation indices in Bogor Regency using the Cloud-Computing platform. The data source was retrieved from 10-meters Sentinel-2 Satellite median imagery of January 2019 - June 2021. Land use maps were generated using Random Forest Algorithm from composite images. Meanwhile, the threshold value of each vegetation type was calculated from the average and standard deviation of NDVI, SAVI, EVI, ARVI, SLAVI, and GNDVI index. The result of the study showed forest and plantation area covers about 158,168.13 ha or 48.92 % of the study area. NDVI was found suitable to identify teak, SLAVI for rubber and pine, EVI for bamboo and tea, and GNDVI for oil palm vegetation.

Do social media data indicate visits to tourist attractions? A case study of Shanghai, China

PurposeCan Chinese social media data (SMD) be used as an alternative to traditional surveys used to understand tourists' visitation of attractions in Chinese cities? The purpose of this paper is to explore this question.Design/methodology/approachPopular tourism SMD sources in China, such as Ctrip, Weibo and Dazhong Dianping (DZDP), were used as data source, and the relationships between these sources and traditional data sources were studied with statistical methods. Data from Shanghai were used in this study since it is rich in tourism resources and developed in information.FindingsA systematic research method was followed and led to the following conclusions: There were positive correlations for attraction visitation between Chinese SMD and traditional survey data; Chinese SMD source could temporally indicate visits to Shanghai tourist attractions; Ctrip SMD generally performed less well than Weibo or DZDP, and different SMD performed differently depending on the specific attractions and time units in the visitation calculation process; and factors including visitation, distance from the city center and the grade of attractions might affect the prediction performance based on data from the SMD. The findings suggest that Chinese SMD could be used as a cost-efficient and reliable proxy for traditional survey data to predict Chinese attraction visitation.Originality/valueThis study applies and improves the methods of SMD reliability in attraction use studies, supplies the gap for premise, basis and foundation for the large amounts of tourism researches using SMD in China and could promote and inspire more efficient and advanced measures in tourism management and urban development.

An Analysis of the Urban Development Process in Six Major Cities in Afghanistan from 1978-2018

The rapid increase in population along with the economic activities led to rapid depletion of natural resources. Land use studies help us analyze the impacts of urban development on environment. Given the political upheavals in Afghanistan, this study aims to analyze how urban development evolved from 1978 to 2018 in six major cities- Kabul, Kandahar, Kunduz, Herat, Mazar-e Sharif and Jalalabad- in Afghanistan using Landsat Satellite Images. This study is based on quantitative approach. ArcGIS 9.4 software was used to synchronize the Landsat Satellite Images within the area of study. The results of the study show that the Annual rate of urban land expansion in Afghanistan was the lowest (average 1.07 square kilometers per year) during the military presence of Soviet Union in Afghanistan while it was the highest (3.35 square kilometers per year) from 2001 to 2018 due to the military presence of US-led NATO forces, relative security and rapid economic activities in Afghanistan. The authors believe that this study could be further explored if other inter-connected factors, e.g., the role of culture, literacy, immigration etc., are incorporated into the study of urban development processes in Afghanistan.

Arbutin as a Skin Depigmenting Agent with Antimelanogenic and Antioxidant Properties

Arbutin is a compound of hydroquinone and D-glucose, and it has been over 30 years since there have been serious studies on the skin lightening action of this substance. In the meantime, there have been debates and validation studies about the mechanism of action of this substance as well as its skin lightening efficacy and safety. Several analogs or derivatives of arbutin have been developed and studied for their melanin synthesis inhibitory action. Formulations have been developed to improve the stability, transdermal delivery, and release of arbutin, and device usage to promote skin absorption has been developed. Substances that inhibit melanin synthesis synergistically with arbutin have been explored. The skin lightening efficacy of arbutin alone or in combination with other active ingredients has been clinically evaluated. Combined therapy with arbutin and laser could give enhanced depigmenting efficacy. The use of arbutin causes dermatitis rarely, and caution is recommended for the use of arbutin-containing products, especially from the viewpoint that hydroquinone may be generated during product use. Studies on the antioxidant properties of arbutin are emerging, and these antioxidant properties are proposed to contribute to the skin depigmenting action of arbutin. It is hoped that this review will help to understand the pros and cons of arbutin as a cosmetic ingredient, and will lead to future research directions for developing advanced skin lightening and protecting cosmetic products.

Which Index Should I Use? A Comparison of Indices for Enclosure Use Studies

Enclosure use assessments have gained popularity as one of the tools for animal welfare assessments and Post Occupancy Evaluations. There are now a plethora of studies and enclosure use indices available in published literature, and identification of the most appropriate index for each research question is often challenging. The benefits and limitations of four different enclosure use indices; Original and Modified Spread of Participation Index, Entropy, and Electivity Index were compared. Three artificial data sets were developed to represent the challenges commonly found in animal exhibits, and these indices were applied to these contrived enclosure settings. Three of the indices (Original SPI, Modified SPI, and Entropy) were used to assess a single measure of enclosure use variability. When zones within an exhibit were comparable in size, all three indices performed similarly. However, with less equal zone sizes, Modified SPI outperformed Original SPI and Entropy, suggesting that the Modified formula was more useful for assessing overall enclosure use variability under such conditions. Electivity Index assessed the use of individual zones, rather than the variability of use across the entire exhibit, and therefore could not be compared directly to the other three indices. This index is therefore most valuable for assessing individual resources, especially after exhibit modifications.