Geographic distribution of availability of adult day services in Missouri

Abstract Adult day service (ADS) is an important component of long-term supportive services. Geographic availability of ADS is an essential factor for aging in place especially for people with assistance needs. This study aims to examine the geographic distribution of availability of ADS and its relationship with the disadvantaged characteristics of neighborhoods. Data from the Missouri Department of Health and Senior Services and the American Community Survey were utilized. Geographic availability of ADS was measured as capacity (number of clients served) of ADS centers per week divided by the number of people who were 65 or older and under poverty at the census tract level. To examine neighborhood disadvantaged characteristics, principal component analysis was applied to construct a socioeconomic deprivation index (SDI). Using geographic information systems, we mapped ADS centers, geographic availability of ADS, and SDI scores. Pearson correlation coefficient was calculated between geographic availability of ADS and SDI scores. In 92.3% of the census tracts in Missouri, ADS centers are not available. Further, ADS centers are less likely to locate in rural areas or census tracts with higher numbers of residents 65 or older and poor. Also, lower availability of ADS was associated with higher levels of neighborhood disadvantage at a marginal level (r = - 0.163). Our findings suggested that strategies should be identified to provide ADS in rural areas, especially in the areas with higher levels of neighborhood disadvantage. Further investigation on the geographic distribution of ADS accessibility and its association with neighborhood characteristics is warranted.

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A Caregiver's Guide to Selecting an Adult Day Services Center

PsycEXTRA Dataset ◽

10.1037/e562042010-001 ◽

2013 ◽

Keyword(s):

Adult Day Services ◽

Day Services

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Bioprospecting of Sechium spp. varieties for the selection of characters with pharmacological activity

Scientific Reports ◽

10.1038/s41598-021-85676-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

María Isabel Iñiguez-Luna ◽

Jorge Cadena-Iñiguez ◽

Ramón Marcos Soto-Hernández ◽

Francisco Javier Morales-Flores ◽

Moisés Cortes-Cruz ◽

...

Keyword(s):

Cell Lines ◽

Proliferative Activity ◽

Meta Analysis ◽

Pearson Correlation ◽

Statistical Significance ◽

Economic Value ◽

Principal Component ◽

Malignant Cell ◽

Length Polymorphisms ◽

Relevant Variables

AbstractBioprospecting identifies new sources of compounds with actual or potential economic value that come from biodiversity. An analysis was performed regarding bioprospecting purposes in ten genotypes of Sechium spp., through a meta-analysis of 20 information sources considering different variables: five morphological, 19 biochemical, anti-proliferative activity of extracts on five malignant cell lines, and 188 polymorphic bands of amplified fragment length polymorphisms, were used in order to identify the most relevant variables for the design of genetic interbreeding. Significant relationships between morphological and biochemical characters and anti-proliferative activity in cell lines were obtained, with five principal components for principal component analysis (SAS/ETS); variables were identified with a statistical significance (< 0.7 and Pearson values ≥ 0.7), with 80.81% of the accumulation of genetic variation and 110 genetic bands. Thirty-nine (39) variables were recovered using NTSYSpc software where 30 showed a Pearson correlation (> 0.5) and nine variables (< 0.05), Finally, using a cladistics analysis approach highlighted 65 genetic bands, in addition to color of the fruit, presence of thorns, bitter flavor, piriform and oblong shape, and also content of chlorophylls a and b, presence of cucurbitacins, and the IC50 effect of chayote extracts on the four cell lines.

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Towards Understanding Variability in Droughts in Response to Extreme Climate Conditions over the Different Agro-Ecological Zones of Pakistan

Sustainability ◽

10.3390/su13126910 ◽

2021 ◽

Vol 13 (12) ◽

pp. 6910

Author(s):

Adil Dilawar ◽

Baozhang Chen ◽

Arfan Arshad ◽

Lifeng Guo ◽

Muhammad Irfan Ehsan ◽

...

Keyword(s):

Pearson Correlation ◽

Principal Component ◽

Mitigation Strategies ◽

Precipitation Extremes ◽

Climate Mitigation ◽

Mean Annual Temperature ◽

Climate Extreme ◽

Ecological Zones ◽

The Mean ◽

Agro Ecological Zones

Here, we provided a comprehensive analysis of long-term drought and climate extreme patterns in the agro ecological zones (AEZs) of Pakistan during 1980–2019. Drought trends were investigated using the standardized precipitation evapotranspiration index (SPEI) at various timescales (SPEI-1, SPEI-3, SPEI-6, and SPEI-12). The results showed that droughts (seasonal and annual) were more persistent and severe in the southern, southwestern, southeastern, and central parts of the region. Drought exacerbated with slopes of −0.02, −0.07, −0.08, −0.01, and −0.02 per year. Drought prevailed in all AEZs in the spring season. The majority of AEZs in Pakistan’s southern, middle, and southwestern regions had experienced substantial warming. The mean annual temperature minimum (Tmin) increased faster than the mean annual temperature maximum (Tmax) in all zones. Precipitation decreased in the southern, northern, central, and southwestern parts of the region. Principal component analysis (PCA) revealed a robust increase in temperature extremes with a variance of 76% and a decrease in precipitation extremes with a variance of 91% in the region. Temperature and precipitation extremes indices had a strong Pearson correlation with drought events. Higher temperatures resulted in extreme drought (dry conditions), while higher precipitation levels resulted in wetting conditions (no drought) in different AEZs. In most AEZs, drought occurrences were more responsive to precipitation. The current findings are helpful for climate mitigation strategies and specific zonal efforts are needed to alleviate the environmental and societal impacts of drought.

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Adult Day Service Use Decreases Likelihood of Depressive Symptoms Among Black Dementia Caregivers

Innovation in Aging ◽

10.1093/geroni/igaa057.2102 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 618-618

Author(s):

Lauren Parker ◽

Laura Gitlin

Keyword(s):

Depressive Symptoms ◽

Service Use ◽

Demographic Variables ◽

Caregiver Training ◽

Dementia Caregivers ◽

Adult Day Services ◽

Black Caregivers ◽

Health Promoting ◽

Day Services ◽

Intervention Trials

Abstract Black Americans are more likely than others to age with Alzheimer’s Disease (AD) in the community and rely on family members for support. Despite reported positive aspects of caregiving, Black caregivers report greater need for daytime respite and caregiving support. Little is known regarding the health-promoting benefits of daytime respite, like adult day services (ADS), among Black caregivers. Using a sample of 190 Philadelphia-area Black caregivers for community-living persons with dementia, pooled from two behavioral intervention trials: Advancing Caregiver Training and Care of Persons with Dementia in their Environments, the study examined the association between ADS use and depressive symptoms. About 36% of the caregivers used adult day services for their family member with AD. Controlling for demographic variables, social support, self-rated health, religious coping, caregiver burden, and number of years caregiving Black caregivers who utilized ADS had lower depressive symptoms (β= -1.60, p<.05) relative not using ADS.

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Older Adults and Opioid Education: Lessons Learned From Experiences in Rural Arkansas

Innovation in Aging ◽

10.1093/geroni/igaa057.177 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 54-54

Author(s):

Robin McAtee ◽

Leah Tobey ◽

Corey Hayes ◽

Laura Spradley ◽

Sajni Kumpuris

Keyword(s):

Older Adults ◽

Pain Management ◽

Rural Areas ◽

Term Treatment ◽

Lessons Learned ◽

Opioid Use ◽

Farm Bureau ◽

Department Of Health ◽

Long Term Treatment ◽

Agricultural Areas

Abstract Nearly one-third of all Medicare participants were prescribed an opioid by their physician in 2015 (AARP, 2017) and in 2017, Arkansas had the 2nd highest opioid prescribing rate in the nation (CDC, 2019). Approaching older adults (OA) about opioids and pain management can be a sensitive topic. Educating and altering long-term treatment with opioids is especially challenging in rural areas where literacy, especially health literacy, is suboptimal. The Arkansas Geriatric Education Collaborative (AGEC) is a HRSA Geriatric Workforce Enhancement Program with an objective to improve health outcomes including an emphasis to decrease the misuse and abuse of opioids among older Arkansans. To address this crisis, the AGEC partnered with local leaders such as the AR Drug Director, academia, Department of Health and Human Services, and multiple community based organizations to create age-tailored educational programs. Unique aspects of approaching and educating rural OA about opioids and pain management will be reviewed. Outcomes will be discussed such as their lack of knowledge about: what is an opioid, why they were prescribed, and what are viable alternatives. Also discussed will be lessons learned that resulted in more effective methods of reaching and teaching rural OA. Partnering with the AR Farm Bureau helped the AGEC reach 100’s of farmers in the extremely rural and mostly agricultural areas. Learning to not use the word opioid resulted in more participants and in a more positive attitude and outlook on attempts to change the culture of opioid use, misuse and abuse among older Arkansans.

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Key soil parameters affecting the survival of Panax notoginseng under continuous cropping

Scientific Reports ◽

10.1038/s41598-021-85171-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Wumei Xu ◽

Fengyun Wu ◽

Haoji Wang ◽

Linyan Zhao ◽

Xue Liu ◽

...

Keyword(s):

Soil Ph ◽

Pearson Correlation ◽

Principal Component ◽

Panax Notoginseng ◽

Soil Parameters ◽

Continuous Cropping ◽

Poor Growth ◽

Available N ◽

The Poor ◽

Replant Problem

AbstractNegative plant-soil feedbacks lead to the poor growth of Panax notoginseng (Sanqi), a well-known herb in Asia and has been used worldwide, under continuous cropping. However, the key soil parameters causing the replant problem are still unclear. Here we conducted a field experiment after 5-year continuous cropping. Sanqi seedlings were cultivated in 7 plots (1.5 m × 2 m), which were randomly assigned along a survival gradient. In total, 13 important soil parameters were measured to understand their relationship with Sanqi’s survival. Pearson correlation analysis showed that 6 soil parameters, including phosphatase, urease, cellulase, bacteria/fungi ratio, available N, and pH, were all correlated with Sanqi’s survival rate (P < 0.05). Principal component analysis (PCA) indicated that they explained 61% of the variances based on the first component, with soil pH being closely correlated with other parameters affecting Sanqi’s survival. The optimum pH for Sanqi growth is about 6.5, but the mean soil pH in the study area is 5.27 (4.86–5.68), therefore it is possible to ameliorate the poor growth of Sanqi by increasing soil pH. This study may also help to reduce the replant problem of other crops under continuous cropping since it is widespread in agricultural production.

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A principal component analysis of the determinants of spatial disparity between rural and urban localities of Ghana

International Journal of Social Economics ◽

10.1108/ijse-11-2015-0315 ◽

2017 ◽

Vol 44 (6) ◽

pp. 715-731 ◽

Cited By ~ 1

Author(s):

Ivy Drafor

Keyword(s):

Principal Component Analysis ◽

Rural Areas ◽

Urban Areas ◽

Principal Component ◽

Component Analysis ◽

Spatial Inequality ◽

Necessary Condition ◽

Spatial Disparity ◽

Content Type ◽

Rural And Urban

Purpose The purpose of this paper is to analyse the spatial disparity between rural and urban areas in Ghana using the Ghana Living Standards Survey’s (GLSS) rounds 5 and 6 data to advance the assertion that an endowed rural sector is necessary to promote agricultural development in Ghana. This analysis helps us to know the factors that contribute to the depravity of the rural sectors to inform policy towards development targeting. Design/methodology/approach A multivariate principal component analysis (PCA) and hierarchical cluster analysis were applied to data from the GLSS-5 and GLSS-6 to determine the characteristics of the rural-urban divide in Ghana. Findings The findings reveal that the rural poor also spend 60.3 per cent of their income on food, while the urban dwellers spend 49 per cent, which is an indication of food production capacity. They have low access to information technology facilities, have larger household sizes and lower levels of education. Rural areas depend a lot on firewood for cooking and use solar/dry cell energies and kerosene for lighting which have implications for conserving the environment. Practical implications Developing the rural areas to strengthen agricultural growth and productivity is a necessary condition for eliminating spatial disparities and promoting overall economic development in Ghana. Addressing rural deprivation is important for conserving the environment due to its increased use of fuelwood for cooking. Absence of alternatives to the use of fuelwood weakens the efforts to reduce deforestation. Originality/value The application of PCA to show the factors that contribute to spatial inequality in Ghana using the GLSS-5 and GLSS-6 data is unique. The study provides insights into redefining the framework for national poverty reduction efforts.

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