Parental Bereavement and Religious Factors

2002 ◽  
Vol 45 (2) ◽  
pp. 187-207 ◽  
Author(s):  
Maura P. Higgins
Keyword(s):  
Regression Analysis ◽  
Marital Status ◽  
Family Income ◽  
Secondary Analysis ◽  
Married Women ◽  
Data Set ◽  
Level Of Education ◽  
Education Experience ◽  
Women And Education ◽  
Religious Factors

There is a long held theory that religiosity provides comfort in times of bereavement. The purpose of this study is to examine religious factors and their relationship with depression as measured by the short CES-D scale in respondents that have experienced the death of a child. It is hypothesized that religious variables including a belief in afterlife and frequency of attendance at religious services will have a relationship with depression, with respondents who have higher measures of religiosity on these measures experiencing lower levels of depression. The research design is a secondary analysis of a single survey with data from the American Changing Lives Data Set, 1986, Wave 1. The study utilizes multiple regression analysis. The results of the study only weakly support the hypothesis that religious factors have a relationship with depression. Other variables, including, sex, marital status, race, age, family income, and education appear to have a stronger relationship with depression than religious factors. The study suggests that marital status has the strongest relationship with depression for women, and education has the strongest relationship with depression for men. The study's conclusion suggests that married women, and men with a higher level of education experience lower levels of depression.

scholarly journals FENOMENA MIGRASI SIRKULER DI KOTA MATARAM

GANEC SWARA ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 557
Author(s):  
NI PUTU FEBBY SUNDARI ◽  
PUTU KARISMAWAN ◽  
EMY SALMAH
Keyword(s):  
Distance Education ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Marital Status ◽  
Logistic Regression Analysis ◽  
Education Level ◽  
Level Of Education ◽  
Working Age ◽  
Labor Resources ◽  
The City

Theoretically, development of the city depends on labor resources. Generally, labor resources of the city come from periphery area. Developed infrastructure is a factor that mobilized labor resources from periphery to the city. There are two alternatives to the workers who come from periphery area; first they can stay in the city by renting apartment or the second as commuter. Many of the workers choose as commuter, so it is quite interesting to know what factors influence workers make choice as commuter. It is more specific whether factors such as income, length of work, age, distance, education level, and marital status influence the interest of workers to conduct circular migration. The analytical tool used is logistic regression analysis, Binary Regression Logistic. This research is a descriptive study that uses quantitative analysis using 1 dependent variable, namely interest in migration and six independent variables, namely income, length of working, age, distance, education level, and marital status. To achieve these objectives in this research logistic regression analysis was used, namely Binary Regression using primary data as many as 80 respondents. The results show that above variables; income, length of working, age, distance, level of education and marital status simultaneously and significantly influence on interest of workers in doing circulation migration to the Mataram City. Factors that partially influence significantly on the interest of workers doing migration to the Mataram City with a significance value with an alpha level of 5% are income, length of working, distance and level of education. While the age variable and marital status is not significant in effect.

scholarly journals Pengaruh Keahlian Profesional, Independensi, Tingkat Pendidikan dan Pengalaman Kerja terhadap Kinerja Pengawas Kas BPR

2020 ◽  
Vol 30 (11) ◽  
pp. 2767
Author(s):  
Hanafi Cahyadi ◽  
Made Gede Wirakusuma
Keyword(s):  
Regression Analysis ◽  
Work Experience ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Professional Expertise ◽  
Sample Collection ◽  
Level Of Education ◽  
Education Experience ◽  
Analysis Technique

The purpose of this study was to determine the effect of professional expertise, independence, level of education and work experience on the performance of BPR Lestari Bali's cash supervisors. The sample collection technique used is the purposive sampling method. The determined number of samples was 31 Cash Supervisors at PT BPR Lestari Bali. The data analysis technique used is multiple linear regression analysis. The analysis showed that professional expertise, independence, level of education and work experience had a positive and significant effect on the performance of BPR cash supervisors. This indicates that the higher the professional expertise of the cash supervisor, the higher the independence attitude of the cash supervisor, the higher the level of education and the higher work experience a cash supervisor has, the more the performance of the BPR's cash supervisor in BPR Lestari Bali. Keywords: Professional Expertise; Independence; Education; Experience; The performance.

Associations of Age, Gender, and Family Income with Quality of Life in Children With Advanced Cancer

2021 ◽  
pp. 104345422199232
Author(s):  
Piera C. Robson ◽  
Mary S. Dietrich ◽  
Terrah Foster Akard
Keyword(s):  
Quality Of Life ◽  
Advanced Cancer ◽  
Family Income ◽  
Hematologic Malignancy ◽  
Secondary Analysis ◽  
Quality Of Life Inventory ◽  
Younger Age ◽  
Self Reports ◽  
Life Inventory

Background: Children with cancer often experience decreased quality of life (QOL) throughout the illness trajectory. The purpose of this study was to explore the associations of demographic characteristics with QOL in children with advanced cancer. Methods: This secondary analysis was part of a larger randomized clinical trial that evaluated the efficacy of a legacy intervention for children (7–17 years) with relapsed/refractory cancer and their primary parent caregivers. Assessments included child self-reports on the Pediatric Quality of Life Inventory (PedsQL) Cancer Module. Researchers used descriptive and linear regression statistical methods. Results: Children ( n = 128) averaged 10.9 years (SD = 3.0). The majority were female ( n = 68, 53%), white ( n = 107, 84%), had a hematologic malignancy ( n = 67, 52%), with family incomes of $50,000 or less ( n = 81, 63.3%). Statistically significant positive associations of both age and income level with PedsQL scores were observed ( p < .05) but not gender ( p > .05). The strongest correlations for age were with the procedural anxiety ( beta = 0.42), treatment anxiety ( beta = 0.26), and total ( beta = 0.28) scores (all p < .01). In general, there was a positive correlation between family income levels and PedsQL scores ( p < .05). The strongest correlations for income were with nausea ( R = 0.49), appearance ( R = 0.44), pain, and treatment anxiety (both R = 0.42) (all p < .01). Associations adjusted for age remained essentially the same (all p < .01). Discussion: Children with advanced cancer with lower family income and younger age are at high risk for poorer QOL. Oncology nurses should seek to identify families who may benefit from additional resources to promote QOL.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

Empowerment and IPV in Married Women of Reproductive Age: Evidence from Pakistan Demographic Health Survey 2017–2018

2021 ◽  
pp. 088626052098038
Author(s):  
Mohammad Vaqas Ali ◽  
Jawad Tariq
Keyword(s):  
Sexual Violence ◽  
Health Survey ◽  
Partner Violence ◽  
Physical Violence ◽  
Secondary Analysis ◽  
Married Women ◽  
Reproductive Age ◽  
Women Empowerment ◽  
Women Of Reproductive Age ◽  
Forms Of Violence

The study was an attempt to identify demographic, household, and women empowerment factors that predicted emotional, physical, and sexual violence in ever-married women of reproductive age (15–49 years, n = 3,965) in Pakistan by performing secondary analysis on Pakistan Demographic and Health Survey, 2017–2018. The analysis was done using SPSS (v.22) and binary and multivariate logistic regression techniques were performed for analyses. The analysis found that 30.2% of women experienced emotional, 24.1% reported less severe physical, 6.5% experienced severe physical, and 4.3% experienced sexual violence, respectively. The multivariate analysis found that husband’s age, education, wealth, and alcohol consumption were significant predictors of intimate partner violence (IPV). Additionally, womens’ age, education, and number of children also significantly predicted IPV. With respect to empowerment variables, ownership of house was a significant predictor of less severe physical violence, ownership of property significantly predicted emotional violence, and autonomy in household purchase decisions was significantly related to severe physical violence. The control on husband’s income as a measure of empowerment significantly predicted all four types of IPV. Belief in patriarchy also turned out to be an important factor in determining emotional and less severe physical violence. The study concludes that women empowerment in household context can prevent less serious forms of violence but to hinder serious forms of violence, interventions at family and community level will be required.

scholarly journals Intimate partner violence and social connection among married women in rural Bangladesh

2021 ◽  
pp. jech-2020-214843
Author(s):  
Laura W Stoff ◽  
Lisa M Bates ◽  
Sidney Ruth Schuler ◽  
Lynette M Renner ◽  
Darin J Erickson ◽  
...  
Keyword(s):  
Partner Violence ◽  
Lower Risk ◽  
Intimate Partner ◽  
Married Women ◽  
Social Connection ◽  
Level Of Education ◽  
Rural Bangladesh ◽  
Instrumental Social Support ◽  
Family Contact ◽  
Natal Family

BackgroundIntimate partner violence (IPV) is high among married women in Bangladesh. Social isolation is a well-established correlate of women’s exposure to IPV, but the role of such factors in low-income and middle-income countries is not well understood. In this study, we explore whether social connection is protective against IPV among married women in rural Bangladesh.MethodsData were drawn from a multistage, stratified, population-based longitudinal sample of 3355 married women in rural Bangladesh, who were surveyed on individual and contextual risk factors of IPV. Negative binomial regression models were used to estimate the association between three different domains of social connection (natal family contact, female companionship and instrumental social support), measured at baseline in 2013, and the risk of three different forms of IPV (psychological, physical and sexual), approximately 10 months later, adjusted for woman’s level of education, spouse’s level of education, level of household wealth, age and age of marriage.ResultsAdjusted models showed that instrumental social support was associated with a lower risk of past year psychological IPV (risk ratio (RR)=0.84, 95% CI 0.769 to 0.914), sexual IPV (RR=0.90, 95% CI 0.822 to 0.997) and physical IPV (RR=0.81, 95% CI 0.718 to 0.937). Natal family contact was also associated with a lower risk of each type of IPV, but not in a graded fashion. Less consistent associations were observed with female companionship.ConclusionOur findings suggest that social connection, particularly in the form of instrumental support, may protect married women in rural Bangladesh from experiencing IPV.

scholarly journals News media attention in Climate Action: latent topics and open access

2021 ◽  
Author(s):  
Tahereh Dehdarirad ◽  
Kalle Karlsson
Keyword(s):  
Sustainable Development ◽  
Regression Analysis ◽  
Open Access ◽  
News Media ◽  
Latent Dirichlet Allocation ◽  
Topic Modelling ◽  
Sustainable Development Goal ◽  
Data Set ◽  
Development Goal ◽  
Climate Action

AbstractIn this study we investigated whether open access could assist the broader dissemination of scientific research in Climate Action (Sustainable Development Goal 13) via news outlets. We did this by comparing (i) the share of open and non-open access documents in different Climate Action topics, and their news counts, and (ii) the mean of news counts for open access and non-open access documents. The data set of this study comprised 70,206 articles and reviews in Sustainable Development Goal 13, published during 2014–2018, retrieved from SciVal. The number of news mentions for each document was obtained from Altmetrics Details Page API using their DOIs, whereas the open access statuses were obtained using Unpaywall.org. The analysis in this paper was done using a combination of (Latent Dirichlet allocation) topic modelling, descriptive statistics, and regression analysis. The covariates included in the regression analysis were features related to authors, country, journal, institution, funding, readability, news source category and topic. Using topic modelling, we identified 10 topics, with topics 4 (meteorology) [21%], 5 (adaption, mitigation, and legislation) [18%] and 8 (ecosystems and biodiversity) [14%] accounting for 53% of the research in Sustainable Development Goal 13. Additionally, the results of regression analysis showed that while keeping all the variables constant in the model, open access papers in Climate Action had a news count advantage (8.8%) in comparison to non-open access papers. Our findings also showed that while a higher share of open access documents in topics such as topic 9 (Human vulnerability to risks) might not assist with its broader dissemination, in some others such as topic 5 (adaption, mitigation, and legislation), even a lower share of open access documents might accelerate its broad communication via news outlets.

The Psychological and Financial Impact of Cybercrime Victimization: A Novel Application of the Shattered Assumptions Theory

2021 ◽  
pp. 089443932098382
Author(s):  
Jildau Borwell ◽  
Jurjen Jansen ◽  
Wouter Stol
Keyword(s):  
Negative Impact ◽  
Secondary Analysis ◽  
Well Being ◽  
Policy Implications ◽  
Financial Impact ◽  
Financial Loss ◽  
Data Set ◽  
Loss Compensation ◽  
Shattered Assumptions ◽  
The Impact

While criminality is digitizing, a theory-based understanding of the impact of cybercrime on victims is lacking. Therefore, this study addresses the psychological and financial impact of cybercrime on victims, applying the shattered assumptions theory (SAT) to predict that impact. A secondary analysis was performed on a representative data set of Dutch citizens ( N = 33,702), exploring the psychological and financial impact for different groups of cybercrime victims. The results showed a higher negative impact on emotional well-being for victims of person-centered cybercrime, victims for whom the offender was an acquaintance, and victims whose financial loss was not compensated and a lower negative impact on emotional well-being for victims with a higher income. The study led to novel scientific insights and showed the applicability of the SAT for developing hypotheses about cybercrime victimization impact. In this study, most hypotheses had to be rejected, leading to the conclusion that more work has to be done to test the applicability of the SAT in the field of cybercrime. Furthermore, policy implications were identified considering the prioritization of and approach to specific cybercrimes, treatment of victims, and financial loss compensation.

scholarly journals Adoption of Enhanced Surgical Recovery (ESR) Protocol for Lumbar Fusion Decreases In-Hospital Postoperative Opioid Consumption

2021 ◽  
pp. 219256822110156
Author(s):  
Ehsan Jazini ◽  
Alexandra E. Thomson ◽  
Andre D. Sabet ◽  
Leah Y. Carreon ◽  
Rita Roy ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Length Of Stay ◽  
Transition Period ◽  
Urinary Catheter ◽  
Lumbar Fusion ◽  
Secondary Analysis ◽  
Opioid Consumption ◽  
Catheter Removal ◽  
Pain Scores ◽  
The Impact

Study Design: Retrospective observational cohort. Objectives: We sought to evaluate the impact of ESR on in-hospital and 90-day postoperative opioid consumption, length of stay, urinary catheter removal and postoperative ambulation after lumbar fusion for degenerative conditions. Methods: We evaluated patients undergoing lumbar fusion surgery at a single, multi-surgeon center in the transition period prior to (N = 174) and after (N = 116) adoption of ESR, comparing in-hospital and 90-day postoperative opioid consumption. Regression analysis was used to control for confounders. Secondary analysis was preformed to evaluate the association between ESR and length of stay, urinary catheter removal and ambulation after surgery. Results: Mean age study participants was 52.6 years with 62 (47%) females. Demographic characteristics were similar between the Pre-ESR and ESR groups. ESR patients had better 3-month pain scores, ambulated earlier, had urinary catheters removed earlier and decreased in-hospital opioid consumption compared to Pre-ESR patients. There was no difference in 90-day opioid consumption between the 2 groups. Regression analysis showed that ESR was strongly associated with in-hospital opioid consumption, accounting for 30% of the variability in Morphine Milligram Equivalents (MME). In-hospital opioid consumption was also associated with preoperative pain scores, number of surgical levels, and insurance type (private vs government). Pre-op pain sores were associated with 90-day opioid consumption. Secondary analysis showed that ESR was associated with a shorter length of stay and earlier ambulation. Conclusions: This study showed ESR has the potential to improve recovery after lumbar fusion for degenerative conditions with reduced in-hospital opioid consumption and improved postoperative pain scores.

scholarly journals Factors associated with the use of fashion braces of the Saudi Arabian Youth: application of the Health Belief Model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anwar S. Alhazmi ◽  
Dania E. Al Agili ◽  
Mohammed S. Aldossary ◽  
Shaker M. Hakami ◽  
Bashaer Y. Almalki ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Family Income ◽  
Health Belief ◽  
Intention To Use ◽  
Perceived Susceptibility ◽  
Mean Values ◽  
Factors Associated ◽  
The Mean ◽  
Belief Model ◽  
The Health Belief Model

Abstract Background In spite of the fact that fashion braces (FBs) have been in the spotlight in recent years among both orthodontists and the general public in several countries, there is still limited evidence regarding FBs. The aim was to identify health-related behaviors in using FBs by considering the Health Belief Model (HBM). Methods A cross-sectional study with a random sampling technique was conducted in Jazan, Saudi Arabia. The data was obtained from different middle and high schools students, and first-year students at Jazan University. The questionnaire collected data on demographic characteristics and 27 items to examine the constructs of the HBM. Chi Square test was carried out to establish the factors associated with using, the intention to use, and previous knowledge on the use of fashion braces. Logistic regression analysis was utilized to determine the factors associated with the use of fashion braces. Results 406 study participants completed the questionnaire with a response rate of 88.3%. Majority of respondents were males (52.2%) and > 19 years old (44.3%). Only 9.9% students had used the FBs. However, 25.7% of students had the intention to use them. The perceived susceptibility, perceived benefits and cues to action constructs scores were fair with the mean values of 15.38 (SD = 9.4), 28.17 (SD = 10.8) and 6.65 (SD = 2.50), respectively. However, the perceived barrier score was high with the mean values of 22.14 (SD = 7.50), and lower score of self-efficacy with mean of 8.73 (SD = 3.30). Gender, age, monthly income (family), and education level were significantly (p < 0.05) associated with the use of fashion braces among the study’s participants. Based on the results of logistic regression analysis family income, perceived susceptibility, and risk severity constructs predict the use of fashion braces in the study's sample. Conclusions The current study suggests that the family income, perceived susceptibility, and risk severity of students significantly influence the use of fashion braces. Hence, it is recommended that researchers should investigate effective educational strategies and programs for improving young people’s knowledge about fashion braces and focus more on low family income students so that their using of fashion brace will be decreased.

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