scholarly journals Explaining differences in retirement timing preferences between the solo self-employed and employees

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dieuwke Zwier ◽  
Marleen Damman ◽  
Swenne G. Van den Heuvel
Keyword(s):  
Multinomial Logistic Regression ◽  
Job Characteristics ◽  
Outcome Variable ◽  
Retirement Savings ◽  
Explanatory Role ◽  
Content Type ◽  
Logistic Regression Models ◽  
Work From Home ◽  
Retirement Timing ◽  
Underlying Mechanisms

PurposePrevious research has shown that self-employed workers are more likely than employees to retire late or to be uncertain about retirement timing. However, little is known about the underlying mechanisms. This study aims to fill this gap, by focusing on the explanatory role of various job characteristics – flexibility, autonomy, skills-job match and job security – for explaining differences in retirement preferences between the solo self-employed and employees.Design/methodology/approachData were used of 8,325 employees and 663 solo self-employed respondents (age 45–64) in the Netherlands, who participated in 2016 in the Study on Transitions in Employment, Ability, and Motivation (STREAM). The outcome variable distinguished between early, on-time, late and uncertain retirement preferences. Multinomial logistic regression models were estimated, and mediation was tested using the Karlson-Holm-Breen (KHB) method.FindingsThe solo self-employed are more likely than employees to prefer late retirement (vs “on-time”) and to be uncertain about their preferred retirement age. Job characteristics mediate 21% of the relationship between solo self-employment and late retirement preferences: the self-employed experience more possibilities than employees to work from home and to choose their own working times, which partly explains why they prefer to retire late.Originality/valueIn discussions about retirement, often reference is made to differences in retirement savings and retirement regulations between the solo self-employed and employees. The current study shows that differences in job characteristics also partly explain the relatively late preferred retirement timing of solo self-employed workers.

scholarly journals Is there an association between ageist attitudes and frailty?

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Douglas Salguero ◽  
Juliana Ferri-Guerra ◽  
Nadeem Y. Mohammed ◽  
Dhanya Baskaran ◽  
Raquel Aparicio-Ugarriza ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Outcome Variable ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Frailty Status

Abstract Background Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. Methods This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. Results Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. Conclusions This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults.

Perceived threat and officer-involved shootings: characteristics leading to fatal vs non-fatal instances

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zavin Nazaretian ◽  
Cedrick Heraux ◽  
David Merolla
Keyword(s):  
Multinomial Logistic Regression ◽  
Perceived Threat ◽  
Content Type ◽  
Logistic Regression Models ◽  
Black And White ◽  
Time Period ◽  
Significant Difference ◽  
Police Shootings ◽  
Different Populations ◽  
The Impact

PurposeThe purpose of this research is to compare the fatality rate of Black and White subjects shot by police. This comparison is meant to explore whether officer-involved shootings (OIS) are impacted more by perceived threat or by demographic characteristics. Beyond race, contextual and officer-level variables are examined for their influence on lethal vs non-lethal police shootings.Design/methodology/approachThe study utilizes data from the Tampa Bay Times database on police shootings in Florida from 2009 through 2014. Our analysis focuses on the substantive importance of this issue, using the population of OIS in one specific state over a specified time period. The authors also including multinomial logistic regression models analyzing the impact of race, contextual and officer-level variables on the lethal outcome of OIS is clear that the police are shooting at two very different populations.FindingsAlthough Black subjects are disproportionately represented as the subjects of OIS, there was no significant difference in the lethality of such incidents based simply on race. However, when we compare Black subjects to White subjects, it is clear that the police are shooting at two very different populations. Black subjects were younger, less likely to be armed, less likely to be under the influence of drugs or alcohol, and less likely to have suspected or known mental health considerations than their White counterparts.Research limitations/implicationsThus, it is possible that any racialized difference in the lethality of police shootings is being suppressed because we are comparing very different groups of subjects to one another.Originality/valueThis paper is the first to examine the racial threat that officers experience past the decision to engage in violence. The authors are looking at how they shoot at minorities vs the decision to shoot at minorities.

University-industry linkages in developing countries: perceived effect on innovation

2016 ◽  
Vol 58 (9) ◽  
pp. 1014-1040 ◽  
Author(s):  
Terje I. Vaaland ◽  
Esther Ishengoma
Keyword(s):  
Developing Countries ◽  
Student Perceptions ◽  
Poverty Reduction ◽  
Multinomial Logistic Regression ◽  
Descriptive Analysis ◽  
Content Type ◽  
Logistic Regression Models ◽  
Oil Companies ◽  
University Industry ◽  
University Industry Linkages

Purpose The purpose of this paper is to assess the perceptions of both universities and the resource-extractive companies on the influence of university-industry linkages (UILs) on innovation in a developing country. Design/methodology/approach A total of 404 respondents were interviewed. Descriptive analysis and multinomial logistic regression models were applied to analyse the data. Findings The findings revealed significant differences between the three informant groups across the three main groups of linkage activities. The industry informants consider all three groups of UILs important for enhancing innovation, in terms of bringing student closer to the industry. The faculty members consider consultancy and research arrangements more important than collaboration, in training and educational activities. The student perceptions on all UIL activities were relatively weak on UIL activities as a vehicle to improve innovation. Research limitations/implications Based on the findings, it seems that the universities should take advantage of a positive attitude among industrial actors and intensify efforts to develop UILs. Practical implications The research can be used for sharpen international oil companies effort towards universities in petroleum rich developing countries. Social implications Implications for policymakers and universities in developing countries, and for the local industrial base. In a broad sense the UIL stimulated innovation has implications on poverty reduction in natural resource-rich host countries. Originality/value Research on UILs in developing countries is rare, particularly in a context in which international companies are faced with host country expectations and legal requirements to invest in knowledge sector and local industry.

scholarly journals Associations Between Perceived Fruit and Vegetable Intake and Nutrition Messaging: Results from a Population-Based Survey Among US Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1364-1364
Author(s):  
Brianna Dumas ◽  
Seung Hee Lee ◽  
Sohyun Park ◽  
Diane Harris ◽  
Christopher Thomas
Keyword(s):  
Vegetable Intake ◽  
Multinomial Logistic Regression ◽  
Population Based ◽  
Outcome Variable ◽  
Fruit And Vegetable ◽  
Response Options ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Funding Sources ◽  
Tailored Communication

Abstract Objectives Fruit and vegetable (FV) intake among US adults is low, and one strategy to increase FV intake is through tailored messaging. We examined associations between perceived FV intake and nutrition messaging using 2018 national panel data of US adults. Methods The outcome variable—perceived FV intake—was determined by one question: “In a usual week, do you feel that you eat as much FV as you need?” Response options were “Yes, I definitely do; Yes, I think so; I'm not sure; No, I don't think so; No, I definitely don't.” Three explanatory variables were: ‘More children & adults should eat the recommended daily amount of vegetables…fewer than 1 in 10 do.’ (OneinTen); ‘States & communities can help people consume more FV… in the places…live, work, learn & play.’ (LivePlay); ‘Adults should fill half their plate with FV at every meal’ (HalfFV). For each message, respondents were asked to indicate agree/neither/disagree with the 3 response statements: ‘This message was easy to understand.’ (Easy to Understand); ‘This message was convincing.’ (Convincing); and ‘I learned something new from this message’ (Learned Something New). Three multinomial logistic regression models were fit to calculate adjusted odds ratios (aOR) controlled for sociodemographic variables. Results Overall, 37.4% of adults perceived eating enough FV, 13.8% were unsure, and 48.8% perceived not eating enough FV. There was highest agreeance that all messages were easy to understand (77.9%–82.5%) across all strata. Across all strata, LivePlay and OneinTen showed the largest variation in agreeance for learned something new (25.5%–60.3%). Those who perceived not eating enough FV were less likely to report learning something new from LivePlay (aOR = 0.7), and less likely to find HalfFV convincing (aOR = 0.6). When compared to those who perceived eating enough FV, those who were unsure were less likely to find all messages easy to understand and convincing, and less likely to report learning something new from LivePlay (aOR = 0.4) and HalfFV (aOR = 0.6). Conclusions Our results suggest that there is a future opportunity for tailored communication efforts, especially for those who perceived not eating enough FV, and those who are unsure if they eat enough FV. Funding Sources Author's time from their institutions.

scholarly journals Transition from school-based training in VET

2017 ◽  
Vol 59 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Marianne Dæhlen
Keyword(s):  
Child Welfare ◽  
Multinomial Logistic Regression ◽  
Drop Out ◽  
Vocational Education And Training ◽  
After School ◽  
Content Type ◽  
Logistic Regression Models ◽  
School Based ◽  
Drop Out Rate ◽  
Average Marginal Effects

Purpose This paper assesses the drop-out rate among disadvantaged students within vocational education and training. The purpose of this paper is to examine the probability of dropping out after school-based training for child welfare clients – a particularly disadvantaged group of youth. Child welfare clients’ drop-out rate is compared with students from a representative sample of their peers. Design/methodology/approach Average marginal effects were calculated from multinomial logistic regression models. Data were from public registries (n=10,535). Findings The results show that differences in observed characteristics cannot explain differences in drop-out rates between child welfare clients and the majority peers. It is argued that this drop-out rate is likely a result of employers favoring apprenticeship applicants who are similar to them or that child welfare clients lack networks, which previous research has identified as crucial in finding an apprenticeship. Practical implications The results suggest a need for action targeting disadvantaged youths in the transition that follows school-based training. Originality/value The paper adds to the very scarce literature on transition from school-based learning to apprenticeships.

Is anti-consumption driving meat consumption changes in Australia?

2019 ◽  
Vol 121 (1) ◽  
pp. 123-138 ◽  
Author(s):  
Lenka Malek ◽  
Wendy Umberger ◽  
Ellen Goddard
Keyword(s):  
Household Income ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
National Level ◽  
Meat Consumption ◽  
Personal Health ◽  
Online Questionnaire ◽  
Content Type ◽  
Logistic Regression Models ◽  
Consumption Decisions

Purpose The purpose of this paper is to evaluate recent changes made by Australian consumers in their consumption of beef, chicken, pork and lamb, as well as the factors motivating both decreased and increased consumption of each type of meat. Reasons for meat-avoidance are also examined. Design/methodology/approach An online questionnaire was completed in July 2016 by two Australian samples comprising: adults from the general population; and vegetarians. Data were analysed for 287 meat consumers and 82 meat avoiders. Descriptive statistics and results of multinomial logistic regression models are presented. Findings Meat consumers most commonly reported reducing consumption of beef in the last 12 months (30 per cent); followed by lamb (22 per cent), pork (14 per cent) and chicken (8 per cent). The following factors were associated with reductions in meat consumption: concerns regarding price and personal health; age and household income; and food choice motivations related to personal benefits, social factors and food production and origin. Main reasons motivating meat-avoidance were concerns regarding animal welfare, health and environmental protection. Originality/value This is the first Australian study providing national-level insight on how and why meat consumption patterns are changing. Reasons for changes are examined through an anti-consumption lens, investigating rationale for avoiding, reducing and increasing consumption. This provides a more comprehensive understanding of meat consumption and anti-consumption decisions, which are becoming increasingly complex. Insights on the psychologically distinct motivations underpinning avoidance, reductions and increases in meat consumption can inform the development of strategies aimed at promoting a societal-shift towards consumption of more sustainable dietary protein sources.

scholarly journals Bayesian models for prediction of the set-difference in volleyball

2021 ◽  
Author(s):  
Ioannis Ntzoufras ◽  
Vasilis Palaskas ◽  
Sotiris Drikos
Keyword(s):  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Bayesian Models ◽  
Outcome Variable ◽  
Logistic Regression Models ◽  
Ordinal Response ◽  
Standard Models ◽  
Discrete Values ◽  
Using Data ◽  
Skellam Distribution

Abstract We study and develop Bayesian models for the analysis of volleyball match outcomes as recorded by the set-difference. Due to the peculiarity of the outcome variable (set-difference) which takes discrete values from $-3$ to $3$, we cannot consider standard models based on the usual Poisson or binomial assumptions used for other sports such as football/soccer. Hence, the first and foremost challenge was to build models appropriate for the set-difference of each volleyball match. Here we consider two major approaches: (a) an ordered multinomial logistic regression model and (b) a model based on a truncated version of the Skellam distribution. For the first model, we consider the set-difference as an ordinal response variable within the framework of multinomial logistic regression models. Concerning the second model, we adjust the Skellam distribution to account for the volleyball rules. We fit and compare both models with the same covariate structure as in Karlis & Ntzoufras (2003). Both models are fitted, illustrated and compared within Bayesian framework using data from both the regular season and the play-offs of the season 2016/17 of the Greek national men’s volleyball league A1.

Low Utility in Colposcopy-directed Biopsies for Non-high Grade Cytological Abnormalities on PAP Smear

2020 ◽  
Vol 16 (1) ◽  
pp. 18-22
Author(s):  
Eronmwon E. Gbinigie ◽  
Joshua Fogel ◽  
Maggie Tetrokalashvili
Keyword(s):  
Pap Smear ◽  
Multinomial Logistic Regression ◽  
Cervical Dysplasia ◽  
Outcome Variable ◽  
Low Grade ◽  
High Grade ◽  
Squamous Intraepithelial Lesion ◽  
Intraepithelial Lesion ◽  
Cytologic Abnormalities ◽  
Cytology Screening

Background: Clinicians commonly perform colposcopy directed biopsies on patients with low grade squamous intraepithelial lesion (LSIL) on PAP cytology even when not consistent with clinical guidelines. Objective: We study the association of PAP cytology screening results with cervical intra-epithelia neoplasia (CIN) 2-3 high-grade dysplasia, as confirmed by colposcopy-directed biopsy. Methods: A retrospective study of 263 women with an abnormality on the PAP smear. Multinomial logistic regression was performed with predictors of PAP cytology screening results with the outcome variable of colposcopy-directed biopsy. Results: High grade squamous intraepithelial lesion (HSIL) had significantly increased relative risk for CIN 2-3 (RR: 9.85, 95% CI: 1.84, 52.79, p=0.008). LSIL was not significantly associated with CIN 2-3. In the comparisons of negative with CIN-1, both HSIL and LSIL were not significantly associated with a negative biopsy. Conclusion: HSIL is associated with cervical dysplasia of CIN 2-3 while LSIL is not associated with cervical dysplasia of CIN 2-3. We do not recommend routine biopsies in patients with LSIL cytologic abnormalities unless additional compelling factors exist.

scholarly journals Prevalence and determinants of diabetes and prediabetes in southwestern Iran: the Khuzestan comprehensive health study (KCHS)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanam Hariri ◽  
Zahra Rahimi ◽  
Nahid Hashemi-Madani ◽  
Seyyed Ali Mard ◽  
Farnaz Hashemi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Waist Circumference ◽  
Multinomial Logistic Regression ◽  
Fasting Blood Glucose ◽  
Health Study ◽  
Khuzestan Province ◽  
Logistic Regression Models ◽  
Relative Risks ◽  
Southwestern Iran

Background The Middle East and North Africa (MENA) is postulated to have the highest increase in the prevalence of diabetes by 2030; however, studies on the epidemiology of diabetes are rather limited across the region, including in Iran. Methods This study was conducted between 2016 and 2018 among Iranian adults aged 20 to 65 years residing in Khuzestan province, southwestern Iran. Diabetes was defined as the fasting blood glucose (FBG) level of 126 mg/dl or higher, and/or taking antidiabetic medications, and/or self-declared diabetes. Prediabetes was defined as FBG 100 to 125 mg/dl. Multinomial logistic regression models were used to examine the association of multiple risk factors that attained significance on the outcome. Results Overall, 30,498 participants were recruited; the mean (±SD) age was 41.6 (±11.9) years. The prevalence of prediabetes and diabetes were 30.8 and 15.3%, respectively. We found a similar prevalence of diabetes in both sexes, although it was higher among illiterates, urban residents, married people, and smokers. Participants aged 50–65 and those with Body Mass Index (BMI) 30 kg/m2 or higher were more likely to be affected by diabetes [RR: 20.5 (18.1,23.3) and 3.2 (3.0,3.6)]. Hypertension [RR: 5.1 (4.7,5.5)], waist circumference (WC) equal or more than 90 cm [RR: 3.6 (3.3,3.9)], and family history [RR: 2.3 (2.2,2.5)] were also significantly associated with diabetes. For prediabetes, the main risk factors were age 50 to 65 years [RR: 2.6 (2.4,2.8)], BMI 30 kg/m2 or higher [RR: 1.9 (1.8,2.0)], hypertension and WC of 90 cm or higher [RR: 1.7 (1.6,1.8)]. The adjusted relative risks for all variables were higher in females than males, with the exception of family history for both conditions and waist circumference for prediabetes. Conclusions Prediabetes and diabetes are prevalent in southwestern Iran. The major determinants are older age, obesity, and the presence of hypertension. Further interventions are required to escalate diabetes prevention and diagnosis in high-risk areas across Iran.

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