The Impact of Resiliency on the Relationship between Known Risk Factors and Child Maltreatment Among Air Force Active Duty Members Based on Deployment Status

2012 ◽  
Author(s):  
Marcos Mendez ◽  
Wendy J. Travis ◽  
Jared A. Anderson ◽  
James Minner ◽  
Sandra M. Stith
2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.


1980 ◽  
Vol 46 (3_suppl) ◽  
pp. 1223-1231 ◽  
Author(s):  
James M. La Rocco ◽  
Allan P. Jones

Numerous studies of withdrawal from work organizations have considered demographic and other personal history characteristics of leavers. Relatively few of these studies have incorporated dynamic situational characteristics in their designs. In the present effort, the relationship between perceived characteristics of the work environment and stated intentions to reenlist were examined for two groups of first-term Navy enlistees: 198 with less than one year of active duty and less than six months of sea duty, and 516 personnel with more than one year of active duty and more than six months of sea time. It was hypothesized that: (a) the relationship between organizational conditions and intent to reenlist would be weaker for new members than for experienced men, (b) that new personnel would be most likely to change their intentions over time, and (c) that new personnel would quickly assimilate the beliefs, values, and perspectives of their more experienced co-workers. Hypothesis 1 was not supported although the pattern of relationships was in the predicted direction. Hypotheses 2 and 3 were supported. The authors discuss the need for research which emphasizes the impact of initial expectation and organizational socialization on the withdrawal decision process.


2018 ◽  
Vol 45 (6) ◽  
pp. 799-819 ◽  
Author(s):  
Haley R. Zettler ◽  
Amaia Iratzoqui

Although child maltreatment, mental illness, and substance abuse are significantly correlated, only the relationship between mental illness and substance abuse has been documented as potentially affecting the implementation of criminal justice policy. The current study considers the influence of child maltreatment histories in addition to mental health and substance abuse issues in predicting the success of participants in a large drug court in the Southwestern United States. Results indicated that child maltreatment was not predictive of overall court failure. However, child maltreatment had an indirect effect on type of failure, through its effects on mental illness and substance abuse diagnoses. Implications for these findings within drug court and for general criminal justice policy are discussed.


2018 ◽  
Vol 23 (3) ◽  
pp. 234-243 ◽  
Author(s):  
Kathryn Z. Smith ◽  
Philip H. Smith ◽  
Lindsay M. Oberleitner ◽  
Emily R. Grekin ◽  
Sherry A. McKee

Past studies examining the child maltreatment (CM)/victimization pathway have been limited by their focus on sexual victimization, narrow windows of assessment, and failure to examine gender differences. In the current study, we sought to examine (1) the impact of CM on physical victimization (PV) trajectories from adolescence to young adulthood and (2) the extent to which heavy drinking mediated the relationship between CM and later PV. Using three waves of the National Longitudinal Study of Adolescent to Adult Health, we found that CM was associated with a 69% greater odds of later PV for both genders, after the inclusion of control variables, and that the risk continued into adulthood. Further, heavy drinking was found to mediate the CM/victimization pathway at Wave I, but not at later waves. When mediation was examined separately for men and women, support for mediation was found for men and women. The current study suggests that CM represents a liability for interpersonal violence for both genders and highlights the importance of looking at victimization across time.


2015 ◽  
Vol 18 (6) ◽  
pp. 806-811 ◽  
Author(s):  
Yoshie Yokoyama ◽  
Terumi Oda ◽  
Noriyo Nagai ◽  
Masako Sugimoto ◽  
Kenji Mizukami

Background: The occurrence of multiple births has been recognized as a risk factor for child maltreatment. However, few population-based studies have examined the relationship between multiple births and child maltreatment. This study aimed to evaluate the degree of risk of child maltreatment among singletons and multiple births in Japan and to identify factors associated with increased risk. Methods: Using population-based data, we analyzed the database of records on child maltreatment and medical checkups for infants aged 1.5 years filed at Nishinomiya City Public Health Center between April 2007 and March 2011. To protect personal information, the data were transferred to anonymized electronic files for analysis. Results: After adjusting by logistic regression for each associated factor and gestation number, multiples themselves were not associated with the risk of child maltreatment. However, compared with singletons, multiples had a significantly higher rate of risk factors for child maltreatment, including low birth weight and neural abnormality. Moreover, compared with mothers of singleton, mothers of twins had a significantly higher rate of poor health, which is a risk factor of child maltreatment. Conclusion: Multiples were not associated with the risk of child maltreatment. However, compared with singletons, multiples and their mothers had a significantly higher rate of risk factors of child maltreatment.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 572-572
Author(s):  
Hayat Alzahrani ◽  
Kim Jackson ◽  
Ditte Hobbs ◽  
Julie Lovegrove

Abstract Objectives To investigate the relationship between dietary nitrate consumption from vegetables (root and green leafy varieties), drinking water and cured meat, and cardiovascular disease (CVD) risk factors in a representative UK population, and determine whether the source (vegetables vs cured meats) impacts on these relationships. Methods For this analysis, we used data from the UK cross-sectional National Diet and Nutrition Survey (NDNS) years 1–8, which included 3407 men and women aged 19–64 y. Since data available on dietary analysis software for nitrate levels in vegetables and vegetable-based foods is very limited, a comprehensive database was first developed to evaluate the nitrate and nitrite levels in water, vegetables, cured meats and composite dishes to more accurately estimate the dietary nitrate intakes of the participants. The population was then classified into quartiles based on increasing daily nitrate intakes from vegetables (including drinking water) and meats. ANCOVA analysis determined the relationship between the level of nitrate intake from each dietary source with available data on biomarkers of CVD risk (BP, lipid profile, C-reactive protein (CRP), anthropometric measures and glycaemic control). Results Across increasing quartiles of dietary nitrate intake from vegetables, there were significant differences in systolic (P = 0.038) and diastolic (P = 0.014) BP, with significantly lower BP in Q3 than all other quartiles. Furthermore, nitrate intake from vegetables was significantly associated with lower glucose, glycated haemoglobin, CRP and total cholesterol concentrations in Q4 compare to Q1 (p = 0.046, p = 0.01, p = 0.03 and p = 0.04) respectively. In contrast, there were no changes in CVD markers including BP across quartiles of nitrate from meats. Conclusions Our findings suggest the source of dietary nitrate may play an important role in determining the relationship with BP, with an intake of between 95–130 mg/day from vegetables and drinking water associated with a lower BP. Funding Sources Hayat was supported by King Saud University (Saudi Arabia).


2020 ◽  
Author(s):  
Xilin Jiang ◽  
Chris Holmes ◽  
Gil McVean

AbstractInherited genetic variation contributes to individual risk for many complex diseases and is increasingly being used for predictive patient stratification. Recent work has shown that genetic factors are not equally relevant to human traits across age and other contexts, though the reasons for such variation are not clear. Here, we introduce methods to infer the form of the relationship between genetic risk for disease and age and to test whether all genetic risk factors behave similarly. We use a proportional hazards model within an interval-based censoring methodology to estimate age-varying individual variant contributions to genetic risk for 24 common diseases within the British ancestry subset of UK Biobank, applying a Bayesian clustering approach to group variants by their risk profile over age and permutation tests for age dependency and multiplicity of profiles. We find evidence for age-varying risk profiles in nine diseases, including hypertension, skin cancer, atherosclerotic heart disease, hypothyroidism and calculus of gallbladder, several of which show evidence, albeit weak, for multiple distinct profiles of genetic risk. The predominant pattern shows genetic risk factors having the greatest impact on risk of early disease, with a monotonic decrease over time, at least for the majority of variants although the magnitude and form of the decrease varies among diseases. We show that these patterns cannot be explained by a simple model involving the presence of unobserved covariates such as environmental factors. We discuss possible models that can explain our observations and the implications for genetic risk prediction.Author summaryThe genes we inherit from our parents influence our risk for almost all diseases, from cancer to severe infections. With the explosion of genomic technologies, we are now able to use an individual’s genome to make useful predictions about future disease risk. However, recent work has shown that the predictive value of genetic information varies by context, including age, sex and ethnicity. In this paper we introduce, validate and apply new statistical methods for investigating the relationship between age and genetic risk. These methods allow us to ask questions such as whether risk is constant over time, precisely how risk changes over time and whether all genetic risk factors have similar age profiles. By applying the methods to data from the UK Biobank, a prospective study of 500,000 people, we show that there is a tendency for genetic risk to decline with increasing age. We consider a series of possible explanations for the observation and conclude that there must be processes acting that we are currently unaware of, such as distinct phases of life in which genetic risk manifests itself, or interactions between genes and the environment.


2020 ◽  
Author(s):  
Anthony Morgan ◽  
Alexandra Gannoni

This study explores the relationship between methamphetamine dependence and domestic violence among male police detainees interviewed as part of the Drug Use Monitoring in Australia program. Detainees who were dependent on methamphetamine reported high rates of domestic violence. They were significantly more likely to have been violent towards an intimate partner in the previous 12 months than detainees who used methamphetamine but were not dependent. Similar patterns were observed for detainees who reported cannabis dependence. Attitudes minimising the impact of violence were also associated with an increased likelihood of domestic violence. The results illustrate the importance of integrated responses that address the co-occurrence of substance use disorders and domestic violence, and the underlying risk factors for both harmful behaviours.


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