Methodological foundations of the spatial development of the region: content, conceptual instrument

Through a methodology of documentary and dialectical basis, in the article, the authors investigate the methodological foundations of the spatial development of the region, through the study of its content and conceptual instrument. In the same way, different points of view on the concept of "region" are presented, the fundamental methodological elements of the formation and organization of the socio-economic development of the region are listed, characterizing the potential of natural resources and the socio-economic development of the municipal districts. Based on this information, the region's place in the social division of labor was determined, the development prospects of the districts were outlined, and the cause-and-effect relationships of the region's socioeconomic indicators were also established. By way of conclusion, everything indicates that the socio-economic development of the region under modern conditions is seen, in the first place, in self-sufficiency. Therefore, your accumulated potential must first be assessed to make a real assessment and then organize a search for the missing resources and funds. The use of a type of strategic management at all levels of management of the political system is the key to a balanced and successful development.

Drivers of vulnerability to climate change in the southernmost region of Bahia (Brazil)

The region that comprises the Atlantic Forest is one of the most degraded areas of the planet, being especially vulnerable in climate change scenarios, which project a mean temperature increase between 2ºC and 3ºC by 2070 for the Brazilian Northeast region. This article aims to analyze the main drivers of socio-environmental vulnerability in the Atlantic Forest region that comprises the southernmost identity territory of Bahia (Brazil) and their potential consequences for coping with climate change. To this end, historical data on land use and occupation was spatialized and evaluated, along with socioeconomic indicators and legal environmental adequacy in the municipalities that make up this territory. The results indicate four structural drivers that generate regional vulnerabilities: the persistence of deforestation; the continuous expansion of monoculture areas; the maintenance of low levels of well-being of the population; as well as a picture of legal environmental liabilities. Based on the analysis of these data, strategies are proposed to increase the adaptive capacity to climate change in this region, especially considering the role of municipalities as a central actor in the implementation of adaptation actions by incorporating into their existing planning instruments indicators and strategies that address the multiple current challenges, especially when the federal government seems to be neglecting climate change.

Socioeconomic Vulnerability Index and Obesity among Korean Adults

Examining the socioeconomic vulnerability–obesity relationship is a different approach than comparing obesity rates according to the socioeconomic level. This study explored the socioeconomic vulnerability–obesity relationship among Korean adults. This secondary analysis used data from the Korea National Health and Nutrition Examination Survey, which were collected nationwide from participants aged 30–64 years. Seven socioeconomic indicators (education level, residential area, personal income level, household income level, food insecurity, house ownership, and national basic livelihood security beneficiary status) were used to create the socioeconomic vulnerability index. The prevalence of obesity was higher in the lowest socioeconomic vulnerability index quartile than in the highest socioeconomic vulnerability index quartile (odds ratio = 1.31; 95% confidence interval = 1.13–1.52) after adjusting for gender. When developing future interventions for the prevention and management of obesity, health care providers and researchers need to consider the differences in socioeconomic vulnerability index in adults.

Modeling the Social Determinants of Official COVID-19 Reports in the Early Stages of the Pandemic

The goal of this paper is to examine the role of social factors in the formation of country reports related to COVID-19 in the early stages of the pandemic. To this end, a linked database of countries’ COVID-19 reports and five composite variables (which compress the information content of 162 preliminary selected socioeconomic indicators) is analyzed by using regression models with regional dummy interactions. The main findings not only reflect the importance of foreign travel restrictions and airport controls but also show that in Europe and Africa, more corrupt countries have reported significantly fewer cases and deaths than countries in other regions.

Comparative Analysis of Spatial Disparities Based on Infrastructure Development and Socioeconomic Indices: A Case Study of Lahore

Infrastructure development and socioeconomic factors are directly related to the opulence and economic growth of any region. Disparity in the allocation of resources within a city has a huge influence on the socioeconomic factors of the population. Cities in developing countries manifesta vast disparity in the provision of infrastructural facilities and it leads to curbing the socioeconomic development of their residents. The current research aims to study the impact of disparity in infrastructure development on the socioeconomic factors has been assessed in the city of Lahore. Two towns of the city, that is, Johar town and Shalamar town were selected based on two different criteria to examine the impact of disparity in infrastructure development on the prevailing socioeconomic conditions. Primary data was collected with the help of a questionnaire encompassing major infrastructure development factors and socioeconomic indicators. Surveys were conducted in these towns with the disproportionate technique of stratified sampling. Data was analyzed through SPSS. Statistical Linear Regression Model was applied to determine whether a relationship exists among the infrastructural and socioeconomic indicators or not. The results showed that the town with better infrastructure development has far better socioeconomic conditions as compared to the less developed town within the same city. Keywords: inequality, infrastructural development, socio-economic indices, spatial disparities

Relationships between Socioeconomic Indicators and Motor Performance of Schoolchildren in Slovakia

Physical inactivity is currently a significant problem in Western societies. Among the many factors that affect the amount of physical activity in children, socioeconomic status, the type of school, and the area where they live can play a major role in physical development. A total of 31,620 children (6.3 ± 0.53 years; 15,726 boys; 15,893 girls), representing 55.6 % of the entire Slovak population of first graders, participated in eight motor performance (MP) tests, the results of which were correlated with somatic parameters (body height, body weight, and body mass index (BMI)) and socioeconomic indicators (SEIs) within the children’s respective territorial regions. The largest correlations were observed between MP and unemployment rate (r = −0.802) and between MP and economically active population with primary education (r = −0.807). Other correlations between MP and SEIs were also found at the level of self-governing regions (r = 0.995) and districts (r = 0.551). SEIs and MP were strongly correlated, indicating that children who grow up in better socioeconomic environments display greater MP. Therefore, national and local governments should provide tangible and intangible resources to enable the proper development of children’s MP {XE “Rodina”}.

The Philanthropic Poor: Prosocial Behavior in Rural India

The study of philanthropy has largely been the purview of the wealthy and privileged in Western societies. However, the act of giving transcends race, religion, nationality, ethnicity, and socioeconomic conditions. This article adds to the philanthropic literature by providing empirical evidence of the prosocial behaviors of rural villagers throughout India. Using responses from a large-scale, door-to-door survey ( n=3,159), we found that high percentages of rural Indians regularly engage in both formal and informal giving and volunteering. Even among generally poor, rural Indian villagers, socioeconomic indicators still matter (with the exception of education), and minority religions and lower social groups tend to exhibit higher levels of prosocial behavior than dominant religious and social groups.

Lifestyle Behaviors and Quality of Life Among Older Adults After the First Wave of the COVID-19 Pandemic in Hubei China

Background: Older adult quality of life (QoL) is facing huge challenges during the COVID-19 pandemic. New normal lifestyle behaviors, including getting adequate physical activity (PA), consuming sufficient fruits and vegetables (FV) and enacting individual preventive behaviors (frequent hand washing, facemask wearing, and social distancing), as a significant determinant for QoL, have not been adequately addressed in older adults during the pandemic. This study aimed to investigate the characteristics of QoL in Chinese older adults after the first wave of the COVID-19 pandemic in Hubei China. The objective of the study was to examine any associations of lifestyle behaviors with QoL, and to identify the moderating role of socioeconomic indicators in the associations identified.Methods: A cross-sectional study was conducted in Hubei, China, from June 15, 2020, to July 10, 2020. Five hundred sixteen older adults completed an online survey (mean age = 67.6 ± 6.6; 57.9% women). The questionnaire consisted of demographic information, covariates (chronic diseases and infected cases of acquaintances), lifestyle behaviors [PA stage, FV intake (FVI) stage and three preventive behaviors], and QoL. T-tests, ANOVA tests, multiple linear regression models with simple slope analyses were used to test the hypotheses.Results: QoL significantly differed in relation to economic situation, chronic diseases, marital status, education, living situation, age group, and professional status. Participants' economic situation (βaverage vs. below average = 0.17, p < 0.01; βabove average vs. below average = 0.15, p < 0.01), chronic diseases (βyes vs. no = 0.19, p < 0.001), FVI stage (β = 0.21, p < 0.001), and preventive behaviors (β = 0.10, p < 0.05) indicated a significant association with QoL. Education level and economic situation significantly interacted with preventive behaviors on QoL, respectively (βpreventive behaviors × educational level = −1.3, p < 0.01; βpreventive behaviors × economic situation = −0.97, p < 0.05).Conclusions: Findings emphasize the importance of enhancing FVI and preventive behaviors on QoL improvement in older adults during the COVID-19 pandemic. Older adults who are in a lower economic situation with lower education levels should be given priority when implementing interventions to improve preventive behaviors and QoL in older adults.

Coherence of global hydroclimate classification systems

Climate classification systems are useful for investigating future climate scenarios, water availability, and even socioeconomic indicators as they relate to climate dynamics. There are several classification systems that apply water and energy variables to create zone boundaries, although there has yet to be a simultaneous comparison of the structure and function of multiple existing climate classification schemes. Moreover, there are presently no classification frameworks that include evapotranspiration (ET) rates as a governing principle. Here, we developed a new system based on precipitation and potential evapotranspiration rates as well as three systems based on ET rates, which were all compared against four previously established climate classification systems. The within-zone similarity, or coherence, of several long-term hydroclimate variables was evaluated for each system based on the premise that the interpretation and application of a classification framework should correspond to the variables that are most coherent. Additionally, the shape complexity of zone boundaries was assessed for each system, assuming zone boundaries should be drawn efficiently such that shape simplicity and hydroclimate coherence are balanced for meaningful boundary implementation. The most frequently used climate classification system, Köppen–Geiger, generally had high hydroclimate coherence but also had high shape complexity. When compared to the Köppen–Geiger framework, the Water-Energy Clustering classification system introduced here showed overall improved or equivalent coherence for hydroclimate variables, yielded lower spatial complexity, and required only 2, compared to 24, parameters for its construction.

Predictors of Falls in Older Adults With and Without Dementia

Persons living with dementia (PLWD) have up to twice the risk for falling and three-times the risk of serious fall-related injuries as those without dementia. Falls are a leading cause of hospitalizations among PLWD, who are more likely to incur high costs and experience negative health consequences (e.g, delirium, in-hospital falls) than persons without dementia. Few studies have examined risk factors for falls comparing Americans with and without dementia. We used data from the 2015 and 2016 rounds of the National Health and Aging Trends Study (n=5,581) to prospectively identify risk factors for a single fall and recurrent (2+) falls over a 12-month period among community-living older adults ≥65 years with and without dementia in a series of bivariate logistic regressions. Overall, we identified fewer predictors of single or recurrent falls among PLWD compared to persons without dementia. For example, socioeconomic indicators (e.g., income, financial hardship) predicted recurrent falls in persons without dementia, but not in PLWD. Among PLWD, falling in the previous year was associated with both single (odds ratio (OR): 3.38, 95% confidence interval (CI): 1.77, 6.49) and recurrent falls (OR: 6.19, 95% CI: 3.50, 10.93). PLWD who experienced recurrent falls were also more likely to be identified as having a fear of falling (OR: 2.17, 95% CI: 1.33, 3.54), physical function impairments, depression symptoms (OR: 2.23, 95% CI: 1.34, 3.71), and anxiety symptoms (OR: 1.73, 95% CI: 1.14, 2.62). Further study of fall-risk factors could inform screening, caregiver education and support, and prevention strategies for PLWD.