scholarly journals Individual and local level factors and antenatal care use in Colombia: a multilevel analysis

2014 ◽  
Vol 30 (5) ◽  
pp. 1079-1092 ◽  
Author(s):  
Ana María Osorio ◽  
Luis Miguel Tovar ◽  
Katharina Rathmann
Keyword(s):  
Antenatal Care ◽  
Maternal Care ◽  
Regression Models ◽  
Local Level ◽  
Local Context ◽  
Individual Factors ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models ◽  
Regional Inequalities ◽  
Using Data

This paper examined the association between individual and local level factors and the number of antenatal care visits completed by women in Colombia using data from the 2010 Colombian Demographic and Health Survey and multilevel logistic regression models. Our findings suggest that, in addition to maternal socioeconomic status, contextual factors influence whether pregnant women complete the minimum recommended number of antenatal care visits. These factors include: level of women’s autonomy in the community, regional inequalities and access barriers caused by distance (OR = 0.057), costs of services (OR = 0.035), and/or a lack of confidence in doctors (OR = 0.036). Our results highlight the existence of inequalities in access to antenatal care and the importance of considering the local context in the design of effective maternal care policies in Colombia. Furthermore, our findings regarding individual factors corroborate the evidence from other countries and offer new insights into the association between local level factors and number of antenatal care visits.

Domestic Violence Reported to the Police: Correlates of Victims’ Reporting Behavior and Support to Legal Proceedings

2016 ◽  
Vol 31 (3) ◽  
pp. 402-415 ◽  
Author(s):  
Rémi Boivin ◽  
Chloé Leclerc
Keyword(s):  
Domestic Violence ◽  
Logistic Regression ◽  
Regression Models ◽  
Multinomial Logistic Regression ◽  
The Other ◽  
Individual Factors ◽  
Initial Report ◽  
Logistic Regression Models ◽  
Legal Proceedings ◽  
History Of

This article analyzes reported incidents of domestic violence according to the source of the complaint and whether the victim initially supported judicial action against the offender. Almost three quarters of incidents studied were reported by the victim (72%), and a little more than half of victims initially wanted to press charges (55%). Using multinomial logistic regression models, situational and individual factors are used to distinguish 4 incident profiles. Incidents in which the victim made the initial report to the police and wished to press charges are the most distinct and involve partners who were already separated at the time of the incident or had a history of domestic violence. The other profiles also show important differences.

scholarly journals The Role of Marriage and Military Service on Reoffending: Race, “The Respectability Package,” and the Desistance Process

2020 ◽  
Vol 47 (1) ◽  
pp. 106-125
Author(s):  
Wendi L. Johnson ◽  
Peggy C. Giordano
Keyword(s):  
Military Service ◽  
Regression Models ◽  
Adult Health ◽  
Logistic Regression Models ◽  
Criminal Involvement ◽  
National Longitudinal Study ◽  
Military Involvement ◽  
Using Data ◽  
Volunteer Force

We build on prior research examining military involvement and criminal involvement by investigating the importance of acquiring the more complete “respectability package” that includes marriage as well as military experience and variations among White and Black respondents. Using data from Waves I and IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health; n = 5,801), analyses use logistic regression models to assess associations of military service, marriage, and race with odds of reoffending among White and Black young adults who reported offending at Wave I. Military involvement was associated with lower odds of offending for Black respondents only, while marriage was associated with decreased odds of reoffending across both groups. Among Black respondents, analyses also highlighted the importance of acquiring both components of the respectability package (military service and marriage) in the context of today’s all-volunteer force in reducing criminal involvement.

scholarly journals NEIGHBORHOOD AGE COMPOSITION AND SELF-RATED HEALTH: FINDINGS FROM A NATIONALLY REPRESENTATIVE STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S64-S64
Author(s):  
Amanda Lehning ◽  
Amanda J Lehning ◽  
Nicole Mattocks ◽  
Kyeongmo Kim ◽  
Richard J Smith
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Neighborhood Change ◽  
Age Composition ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Representative Study ◽  
Nationally Representative ◽  
Using Data ◽  
Conceptual Work

Abstract Neighborhood age composition is an understudied area. Furthermore, existing empirical and conceptual work is conflicting, with some indicating neighborhoods with more older adults are beneficial and other scholarship suggesting it can be detrimental. Using data from 7,197 older adults from the first wave (2011) of the National Health & Aging Trends Study combined with census tract data from the National Neighborhood Change Database, we examined the association between neighborhood age composition and self-rated health. Findings from logistic regression models indicate those living in neighborhoods with a growing concentration of older residents are significantly more likely to report lower self-rated health compared to those living in a neighborhood in which older adults overall are declining (β=1.51, p < .05) or are becoming diluted by younger residents (β=.66, p < .05). Results have implications for interventions promoting aging in place, particularly for those who may be stuck in place in age-concentrated neighborhoods.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

scholarly journals Study of risk factors affecting both hypertension and obesity outcome by using multivariate multilevel logistic regression models

2016 ◽  
Vol 19 (3) ◽  
pp. 385-397 ◽  
Author(s):  
Sepedeh Gholizadeh ◽  
Abbas Moghimbeigi ◽  
Jalal Poorolajal ◽  
Mohammadali Khjeian ◽  
Fatemeh Bahramian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Multilevel Logistic Regression ◽  
Factors Affecting ◽  
Logistic Regression Models

scholarly journals Relationship Between Medical Students’ Career Priority and Specialty Choice: A Nationwide Multicenter Survey

2020 ◽  
Author(s):  
Kenya Ie ◽  
Akiko Murata ◽  
Masao Tahara ◽  
Manabu Komiyama ◽  
Shuhei Ichikawa ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Emergency Medicine ◽  
General Practice ◽  
Medical Students ◽  
Regression Models ◽  
Specialty Choice ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models ◽  
Multicenter Survey ◽  
Specific Care

Abstract Backgrounds The shortage of physicians in several specialties has been brought to public attention in several countries. However, little is known about factors affecting medical students’ specialty choice. The objectives of our study were to illustrate medical students’ career priority clusters and to assess their association with specialty preference. Methods We conducted a nationwide multicenter survey in 2015 at 17 medical schools. The study participants were asked their top three specialty preferences, demographic characteristics, and 14 career priority questions. Multilevel logistic regression models were used to determine the effect of each variables on student career choice. Results A total of 1,264 responses were included in the analyses. The top five specialty choice were internal medicine: 833, general practice: 408, paediatrics: 372, surgery: 344, and emergency medicine: 244. An exploratory factor analysis mapped the 14 career priorities into 3-factor solution; “primary care orientation”, “advanced and specific care”, and “personal life orientation”. Multilevel logistic regression models yielded satisfactory accuracy with the highest ROC curve (AUROC) noted in surgery (0.818), general practice (0.769), and emergency medicine (0.744). The career priorities under “primary care orientation” had positive association with choosing general practice, emergency medicine, internal medicine, and paediatrics. The “advanced and specific care” career priorities facilitated surgery and emergency medicine choice, while reducing the likelihood of choosing less procedure-oriented specialties, such as internal medicine, general practice, and paediatrics. Conclusions Our results demonstrated medical students’ career priorities and their association with specialty preference. Individualized career support may be beneficial for both medical students and each specialty fields.

Identifying the Urban: Resident Perceptions of Community Character and Local Institutions in Eight Metropolitan Areas

2018 ◽  
Vol 17 (3) ◽  
pp. 858-882 ◽  
Author(s):  
Chase M. Billingham ◽  
Shelley McDonough Kimelberg
Keyword(s):  
Regression Models ◽  
Metropolitan Areas ◽  
Central City ◽  
The United States ◽  
Urban Resident ◽  
Local Institutions ◽  
Logistic Regression Models ◽  
Resident Perceptions ◽  
Local Schools ◽  
Using Data

What does the term “urban” signify as a descriptor of contemporary communities in the United States? We investigate this question using data from the Soul of the Community survey, examining how people within eight metropolitan areas characterize their communities. A substantial disjunction exists between where within their regions respondents live and how they describe those areas. Many central–city residents label their communities “suburban” or “rural,” while many outlying residents label their communities “urban.” We contend that people's experiences with important local institutions—specifically, local schools and the local public safety apparatus—shape their understanding of their communities. Logistic regression models support this contention. Controlling for where within their regions respondents live, they are more likely to label their communities “urban” if they perceive local schools to be low in quality and their neighborhoods to be unsafe. Notably, these effects are not consistent across racial and ethnic groups.

scholarly journals Sample size issues in multilevel logistic regression models

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0225427 ◽  
Author(s):  
Amjad Ali ◽  
Sabz Ali ◽  
Sajjad Ahmad Khan ◽  
Dost Muhammad Khan ◽  
Kamran Abbas ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sample Size ◽  
Regression Models ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models

Mild parkinsonian signs, energy decline, and striatal volume in community-dwelling older adults

2021 ◽  
Author(s):  
Qu Tian ◽  
Rebecca Ehrenkranz ◽  
Andrea L Rosso ◽  
Nancy W Glynn ◽  
Lana M Chahine ◽  
...  
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Rating Scale ◽  
Gray Matter Volume ◽  
Energy Levels ◽  
Community Dwelling ◽  
Linear Regression Models ◽  
Logistic Regression Models ◽  
Body Composition Study ◽  
Using Data

Abstract Background Mild Parkinsonian Signs (MPS), highly prevalent in older adults, predict disability. It is unknown whether energy decline, a predictor of mobility disability, is also associated with MPS. We hypothesized that those with MPS had greater decline in self-reported energy levels (SEL) than those without MPS, and that SEL decline and MPS share neural substrates. Methods Using data from the Health, Aging and Body Composition Study, we analyzed 293 Parkinson’s Disease-free participants (83±3 years old, 39% Black, 58% women) with neuroimaging data, MPS evaluation by Unified Parkinson Disease Rating Scale in 2006-2008, and ≥ 3 measures of SEL since 1999-2000. Individual SEL slopes were computed via linear mixed models. Associations of SEL slopes with MPS were tested using logistic regression models. Association of SEL slope with volume of striatum, sensorimotor, and cognitive regions were examined using linear regression models adjusted for normalized total gray matter volume. Models were adjusted for baseline SEL, mobility, demographics, and comorbidities. Results Compared to those without MPS (n=165), those with MPS (n=128) had 37% greater SEL decline in the prior eight years (p=0.001). Greater SEL decline was associated with smaller right striatal volume (adjusted standardized β=0.126, p=0.029). SEL decline was not associated with volumes in other regions. The association of SEL decline with MPS remained similar after adjustment for right striatal volume (adjusted OR=2.03, 95% CI: 1.16 - 3.54). Conclusion SEL decline may be faster in those with MPS. Striatal atrophy may be important for declining energy but does not explain the association with MPS.

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