scholarly journals Functional limitations and worrying to lose employment among individuals with chronic conditions and disabilities during COVID-19: A hierarchical logistic regression model

2020 ◽  
pp. 1-8
Author(s):  
Emre Umucu
Keyword(s):  
Logistic Regression ◽  
Chronic Conditions ◽  
Job Loss ◽  
Functional Limitations ◽  
Demographic Variables ◽  
Health Conditions ◽  
Individuals With Disabilities ◽  
Hierarchical Logistic Regression ◽  
The Mean ◽  
The Relationship

BACKGROUND: As an unexpected environmental factor causing significant economic, financial, and health challenges for everyone, it is no wonder that COVID-19 presents significant employment-related worries for people with chronic health conditions and disabilities. OBJECTIVE: The purpose of this study was to explore whether higher levels of functional limitations are associated with worry about job loss for individuals with disabilities and chronic conditions. METHODS: Data for this study were collected to understand the effects of COVID-19 on individuals with disabilities and chronic conditions. A total of 219 employed participants were extracted from a total of 269 individuals with disabilities and chronic conditions. The mean age among participants was 37.83 (SD = 10.97). RESULTS: Our hierarchical logistic regression analysis revealed that (a) demographic variables were not associated with worry about job loss in the first block, (b) perceived COVID-19 stress (AOR = 2.90, p <  0.001) was correlated with worry about job loss in the second block, and (c) functional limitations (AOR = 1.06, p <  0.001) were positively correlated with worry about job loss in the third block. Overall, the entire model containing all predictor variables in three blocks explained 23% (Nagelkerke R 2) of the variance in worry about job loss. CONCLUSIONS: This study contributes to the disability and vocational rehabilitation literature by examining the relationship between functional limitations and worry to lose jobs in people with disabilities.

scholarly journals Effects of Routine Checkups and Chronic Conditions on Middle-Aged Patients with Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
America E. McGuffee ◽  
Kailyn Chillag ◽  
Amber Johnson ◽  
Regan Richardson ◽  
Hallie Williams ◽  
...  
Keyword(s):  
New York ◽  
Chronic Conditions ◽  
Target Population ◽  
Health Conditions ◽  
Middle Aged ◽  
Aged Patients ◽  
Cross Sectional ◽  
And Gender ◽  
Socioeconomic And Demographic Factors ◽  
The Relationship

Purpose. Middle-aged males and females with diabetes are more likely to have poor physical (PH) and mental health (MH); however, there is limited research determining the relationship between MH and PH and routine check-up in diabetic middle-aged adults, especially by gender. The purpose of this study was to determine whether PH and MH status differ by routine check-up in middle-aged (age 45–64) adults with diabetes in the general population. Methods. This cross-sectional analysis used data from the 2017 BRFSS conducted by the CDC for adults aged 45–64 who reported having diabetes in Florida (N=1183), Kentucky (N=617), Maryland (N=731), New York (N=593), and Ohio (N=754). Multiple logistic regression by state and gender was used to determine the relationship between MH and PH status and routine check-up while controlling for health-related, socioeconomic, and demographic factors. Results. Across states, up to one-half reported good PH (32–50%), over one-half reported good MH (46–67%), and most reported having a routine check-up (87–93%). Adjusted analysis indicated that MH and PH were not significantly related to routine check-up, but both were inversely related to having diabetes plus two other health conditions. Conclusions. Overall, routine check-up was not related to good PH and MH in this target population; however, a number of health conditions were inversely related to good PH and MH status. In a primary care setting for this target population, there may be a low to moderate prevalence of good PH and MH and a high prevalence of having a routine check-up and having multiple health conditions. It is recommended to automatically screen this target population for PH, MH, other chronic conditions, and physical activity and treat concurrently.

scholarly journals Demographic variables associated with Covid-19 mortality

2020 ◽  
Vol 9 (4) ◽  
Author(s):  
José Manuel Madrazo Cabo ◽  
Nuvia Adriana Monter Valera ◽  
Edith Jocelyn Hernández Sánchez ◽  
Mariola Ruiz Sánchez ◽  
Gabriela Sánchez Machorro ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Gross Domestic Product ◽  
Chronic Conditions ◽  
Direct Contact ◽  
Protein S ◽  
Demographic Variables ◽  
Domestic Product ◽  
Population Pyramid ◽  
Pyramid Structure ◽  
The Mean

Objectives: Covid-19 is a betacoronavirus that was initially transmitted to humans from an animal host. It enters the cell by binding its protein S with angiotensin-converted enzyme receptors. It is transmitted through direct contact and respiratory drops. The most affected population so far are older adults and people with chronic conditions. The objective of this research is to analyze the possible association between the structure of the population pyramid, the Gross Domestic Product, the type of isolation and screening used to detect Covid-19 in the countries with the highest and lowest mortality from this disease.Design and Methods: Some variables take part in the Covid-19 mortality worldwide, such as the population structure, expressed in the population pyramid by country, the type of isolation adopted in each nation, the Gross Domestic Product (GDP) as well as the type of screening that is implemented in the different countries analyzed.Results: After analyzing the mean difference in the countries with a regressive and progressive population pyramid, an association was identified between the regressive population pyramid structure and the higher mortality rate (p<0.001).Conclusions: The countries with a progressive population pyramid are the most benefited by making their population more screened since the mortality rate decreases significantly compared to the countries with less attribution (p<0.036).

scholarly journals CHRONIC CONDITIONS, FUNCTIONAL LIMITATIONS, AND DEPRESSION IN OLDER ADULTS: ANALYSIS OF A LONGITUDINAL STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S572-S572
Author(s):  
Jyotsana Parajuli ◽  
Diane Berish ◽  
Ying-Ling Jao
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Direct Effect ◽  
Chronic Conditions ◽  
Functional Limitations ◽  
Mediation Effect ◽  
High Risk Population ◽  
Longitudinal Impact ◽  
The Relationship ◽  
Retirement Study

Abstract Background: Chronic conditions, functional limitations, and depression are highly prevalent in older adults. Evidence suggests the links between chronic conditions, functional limitations, and depressive symptoms separately. However, few studies have considered these three conditions together longitudinally. This study examined the longitudinal relationship between chronic conditions and depressive symptoms and evaluated the mediation effect of functional limitations on the relationship between chronic conditions and depressive symptoms in older adults. Methods: This study analyzed longitudinal data from the Health and Retirement Study collected in 2012 and 2014. Mediation analysis was used to examine the direct and indirect effects of chronic conditions and functional limitations measured at the year 2012 on depressive symptoms measured at the year 2014 controlling for demographics. Results: Results revealed that chronic conditions predicted depressive symptoms. Specifically, one additional chronic condition in 2012 corresponded to an increase of 0.35 in depressive symptoms in 2014 (p&lt;.001). After adding functional limitations as a mediator, the direct effect was reduced to 0.26 and the indirect effect was .088 (p&lt;.001). In other words, functional limitations explained approximately 25% of the direct effect of chronic diseases on depression. Discussion: Findings reveal the longitudinal impact of chronic conditions and functional limitations on depressive symptoms in older adults. Findings help identify the high-risk population of depressive symptoms and intervene early.

scholarly journals SOCIO-ECONOMIC DETERMINANTS AND SPATIAL CONVERGENCE OF BIOLOGICAL WELL-BEING: THE CASE OF COLOMBIA, 1920–1990

2019 ◽  
Vol 37 (2) ◽  
pp. 297-338 ◽  
Author(s):  
Adolfo Meisel-Roca ◽  
María Teresa Ramírez-Giraldo ◽  
Daniela Santos-Cárdenas
Keyword(s):  
Well Being ◽  
Demographic Variables ◽  
Health Conditions ◽  
Average Height ◽  
Economic Determinants ◽  
Level Of Education ◽  
Sustained Growth ◽  
Spatial Convergence ◽  
Physical Stature ◽  
The Relationship

ABSTRACTThis paper explores the relationship between the physical stature of Colombians born during the 20thcentury and several socio-economic and demographic variables. Using a dataset of more than 225,000 individuals built with information from judicial background certificates, we found a sustained growth of the average height of women and men during the 20thcentury. The results show significant differences in stature according to gender, level of education, occupation, and place and date of birth. Similarly, health conditions and access to aqueducts significantly affect height. We found that departmental average height disparities decreased and the gap across regions closed throughout the century.

Investing Behaviour of the IT Millennials with Respect to Retirement Planning

2019 ◽  
Vol 9 (8) ◽  
pp. 188-201
Author(s):  
Rashmy Moray ◽  
Vanishree Pabalkar ◽  
Nema Buch
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Predictive Model ◽  
Logistic Regression Analysis ◽  
Financial Planning ◽  
Representative Sample ◽  
Retirement Planning ◽  
Demographic Variables ◽  
It Industry ◽  
The Relationship

The objective of this study is to identify the demographic factors and behavioural biases affecting the financial planning of the Millennials. For this purpose the investing behaviour of the Millennials in the IT Industry as a representative sample with respect to retirement planning has been studied using the Retirement Wellness Score. Logistic regression analysis was performed to determine the likelihood of whether the Millennials are ready for retirement with the main aim of showing the relationship between the study variables. An attempt has been made to develop a predictive model that would help in determining the Millennials’ readiness for retirement given their demographic variables and dominant bias presence. This research contributes to developing an understanding of Millennials’ financial planning for retirement.

scholarly journals The Investigation of Sex Differences in the Effect of Body Mass Index

2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
Xiang Xiao ◽  
Weihua Wang ◽  
Rina Sa ◽  
Lin Qiu ◽  
Feng Liu
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Sex Differences ◽  
Multivariable Logistic Regression ◽  
The Mean ◽  
Prevention Of Hypertension ◽  
The Relationship ◽  
Different Levels

Although many researches regarding risk factors for hypertension have been reported, little information is known about the effect of BMI on the prevalence of hypertension considering sex differences. The aim of this study was to examine the sex difference in the prevalence of hypertension with the predicting indicator BMI. A total number of 6330 subjects in Shaanxi were examined using multivariable logistic regression to study the relationship between genders in different levels of BMI and prevalence of hypertension. Overall, females had a higher prevalence of hypertension than males, being 28.36% and 21.55%, respectively. The mean of blood pressure and the prevalence of hypertension increased as BMI getting larger. The result of multivariable logistic regression showed that obese and overweight males had higher risk of getting hypertension than their female counterparts. Further prevention of hypertension should be focused on obese and overweight males more than females and examining the mechanism of how sex differences influence the prevalence of hypertension.

Analysing the Relationship Between Personal Time Discounting Factors and Risk Related Behaviour

2018 ◽  
Vol 7 (4) ◽  
pp. 37-53
Author(s):  
Horia Daniel Tigau
Keyword(s):  
Logistic Regression ◽  
Delay Discounting ◽  
Logistic Regression Model ◽  
Final Analysis ◽  
Demographic Variables ◽  
Time Discounting ◽  
Binary Responses ◽  
Personal Time ◽  
Monetary Choice Questionnaire ◽  
The Relationship

Time discounting factors represent a widely-discussed subject in economics. Several methods are employed in order to collect data on discounting behavior; one of the most popular, also used in this article, is Kirby's Monetary Choice Questionnaire (MCQ). The binary responses in the questionnaire are then processed in order to estimate the k parameters of delay discounting. Two methods of estimation are compared and evaluated – Kaplan's Autoscorer and Wileyto's Logistic Regression Model. Rohrmann's Risk Orientation Questionnaire uses participants' responses to quantify the manifestation of risk related behaviors. In the final analysis of this article, the logistic regression estimates of k and the risk orientation factors are taken into consideration, together with demographic variables, to check for correlations and trends. There were no significant links found between risk orientation and time-discounting. However, there were several significant results at demographic level – for example, a positive correlation of 0.166 between risk aversion and income level during childhood (p = 0.02).

scholarly journals The Relations Between Behavioral Problems and Demographic Variables in Students With Visual Impairment

2020 ◽  
Vol 18 (3) ◽  
pp. 249-256
Author(s):  
Sara Ghorbaninejad ◽  
◽  
Firoozeh Sajedi ◽  
Masoumeh Pourmohamadreza Tajrishi ◽  
Samaneh Hosseinzadeh ◽  
...  
Keyword(s):  
Visual Impairment ◽  
Behavioral Problems ◽  
Visually Impaired ◽  
Demographic Variables ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Significant Difference ◽  
Research Population ◽  
The Mean ◽  
The Relationship

Objectives: The most distinctive group of people with sensory disabilities is those with visual impairment. This study aimed to evaluate the relationship between behavioral problems and demographic variables in students with visual impairment in the academic year of 2018-2019 in Tehran City, Iran. Methods: This cross-sectional, descriptive, and analytical study was conducted on students with visual impairment studying in four schools of exceptional children at the elementary and high school levels. The research population was 400, and the sample size was estimated at 200 using Cochran’s formula. The sampling was carried out using the random cluster sampling method, where the floors of the school were considered and visually-impaired students were selected randomly from each school based on the number of students. Demographic characteristics questionnaire and Rutter behavior evaluation questionnaire (teacher form) were used to collect data. Results: The Mean±SD behavioral problems score was 12.9±10.7. According to the results, there was a negative and significant correlation between the subscales of behavioral problems with age and duration of the impairment. A significant difference was found in the mean of behavioral problems of visually-impaired or blind children caused by accident with those with congenital and hereditary problems. The regression model showed a significant difference between male and female subjects in terms of behavioral problems in a short duration after the injury (≤5 years). Discussion: Given the relationship between behavioral problems with gender and duration of injury, it is recommended that interventions be carried out during the first few years of injury, especially for female individuals, to prevent or reduce the severity of behavioral problems.

Predictors and outcome of seizures after spontaneous intracerebral hemorrhage

2009 ◽  
Vol 111 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Tzu-Ming Yang ◽  
Wei-Che Lin ◽  
Wen-Neng Chang ◽  
Jih-Tsun Ho ◽  
Hung-Chen Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Neurological Complication ◽  
Multiple Logistic Regression ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Seizure Rate ◽  
Symptomatic Seizures ◽  
The Mean ◽  
The Relationship

Object Seizures are an important neurological complication of spontaneous intracerebral hemorrhage (ICH). A better understanding of the risk factors of seizures following ICH is needed to predict which patients will require treatment. Methods Two hundred and forty-three adult patients were enrolled in this 1-year retrospective study. Multiple logistic regression was used to evaluate the relationship between baseline clinical factors and the presence or absence of seizure during the study period. Results Seizures occurred in 20 patients with ICH, including acute symptomatic seizures in 9 and unprovoked seizures in 11. None progressed to status epilepticus during hospitalization. After a minimum 3-year follow-up period, the mean Glasgow Outcome Scale score was 3.8 ± 1.1 for patients who had had seizures and 3.5 ± 1.3 for those who had not. The multiple logistic regression model demonstrated that the mean ICH volume was independently associated with seizures, and any increase of 1 mm3 in ICH volume increased the seizure rate by 2.7%. Conclusions Higher mean ICH volumes at presentation were predictive of seizure, and the presence of late seizures was predictive of developing epilepsy. Most seizures occurred within 2 years of spontaneous ICH over a minimum of 3 years of follow-up.

Socioeconomic Position and Health: The Differential Effects of Education versus Income on the Onset versus Progression of Health Problems

2007 ◽  
Vol 48 (3) ◽  
pp. 223-238 ◽  
Author(s):  
Pamela Herd ◽  
Brian Goesling ◽  
James S. House
Keyword(s):  
Socioeconomic Position ◽  
Chronic Conditions ◽  
Functional Limitations ◽  
Health Problems ◽  
Biomedical Literature ◽  
Science Literature ◽  
The Social ◽  
Social Science Literature ◽  
Using Data ◽  
The Relationship

This article seeks to elucidate the relationship between socioeconomic position and health by showing how different facets of socioeconomic position (education and income) affect different stages (onset vs. progression) of health problems. The biomedical literature has generally treated socioeconomic position as a unitary construct. Likewise, the social science literature has tended to treat health as a unitary construct. To advance our understanding of the relationship between socioeconomic position and health, and ultimately to foster appropriate policies and practices to improve population health, a more nuanced approach is required—one that differentiates theoretically and empirically among dimensions of both socioeconomic position and health. Using data from the Americans' Changing Lives Study (1986 through 2001/2002), we show that education is more predictive than income of the onset of both functional limitations and chronic conditions, while income is more strongly associated than education with the progression of both.

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