Programs and Communities
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- All Subjects: Mindfulness
- All Subjects: Newark, New Jersey
The New Jersey Childhood Obesity Study was designed to provide vital information for planning, implementing, and evaluating interventions aimed at preventing childhood obesity in five New Jersey municipalities: Camden, Newark, New Brunswick, Trenton, and Vineland. These five communities are being supported by the Robert Wood Johnson Foundation’s New Jersey Partnership for Healthy Kids program to plan and implement policy and environmental change strategies to prevent childhood obesity. Effective interventions for addressing childhood obesity require community-specific information on
who is most at risk and on contributing factors that can be addressed through tailored interventions that meet the needs of the community. Based on comprehensive research, a series of reports are being prepared for each community to assist in planning effective interventions.
The main components of the study were:
• A household telephone survey of 1700 families with 3–18 year old children,
• De-identified heights and weights measured at public schools,
• Assessment of the food and physical activity environments using objective data.
This report presents the results from the household survey. Reports based on school body mass index (BMI) data and food and physical activity environment data are available at www.cshp.rutgers.edu/childhoodobesity.htm.
The maps in this chartbook describe the food environment in ewark in terms of access to supermarkets, smaller grocery stores, convenience stores, and limited service restaurants. Research shows that when residents have access to healthy food outlets, they tend to eat healthy.
• Food environment maps were created using geo-coded commercially available data of food outlets (InfoUSA, 2008 and Trade Dimensions, 2008) in Newark and in a 1 mile buffer area around Newark.
•Using the commercial data and additional investigation, food outlets were classified into different categories based on their likelihood of carrying healthy choices: supermarkets carry most healthy choices; smaller grocery stores carry fewer healthy choices; convenience stores and limited service restaurants are likely to carry mostly unhealthy choices.
• Access to different types of food outlets was computed at the census block group level based on concentration of stores / restaurants per unit area and is reported as food outlet densities.
• Food outlet density maps are compared with Census 2000 data to visualize accessibility of healthy foods in neighborhoods with different characteristics.
Data Sources: Info USA food outlet 2008 data
Trade Dimensions food outlet 2008 data
Census 2000 data
New Jersey Department of Education 2008-2009 data
The maps in this chartbook describe the food environment in Trenton in terms of access to supermarkets, smaller grocery stores, convenience stores, and limited service restaurants. Research shows that when residents have access to healthy food outlets, they tend to eat healthy.
•Food environment maps were created using geo-coded commercially available data of food outlets (InfoUSA, 2008 and Trade Dimensions, 2008) in Trenton and in a 1 mile buffer area around Trenton.
•Using the commercial data and additional investigation, food outlets were classified into different categories based on their likelihood of carrying healthy choices: supermarkets carry most healthy choices; smaller grocery stores carry fewer healthy choices; convenience stores and limited service restaurants are likely to carry mostly unhealthy choices.
• Access to different types of food outlets was computed at the census block group level based on concentration of stores / restaurants per unit area and is reported as food outlet densities.
•Food outlet density maps are compared with Census 2000 data to visualize accessibility of healthy foods in neighborhoods with different characteristics.
Data Sources: Info USA food outlet 2008 data
Trade Dimensions food outlet 2008 data
Census 2000 data
New Jersey Department of Education 2008-2009 data
Stress is the direct source of some health issues and the precursors to many illnesses. The effects of stress are felt by the majority of the population and is usually undertreated or overlooked as a norm of life rather than a potential source of illness. Though everyone has different thresholds of stress, chronic or constant stress is debilitating for some and can manifest itself in limitless ways. For adults with substance use disorders (SUDs), research supports that mindfulness based interventions (MBIs) could be beneficial for stress management. The techniques incorporated in mindfulness based practices can decrease the baseline stress of its practitioners by increasing their awareness and mindfulness within daily life and during stressful situations.
This increase in awareness and mindfulness has shown numerous benefits that may be crucial in increasing the likelihood of sobriety for those with SUDs. Some of these benefits may include, improved stress management, improved mitigation of craving symptoms, reduced incidences of relapse, and a better quality of life. A 4-week self-help mindfulness pilot program was conducted twice within two separate residential substance recovery settings. The participant’s satisfaction and the internalization of mindfulness concepts were measured within the pre and post implementation of a self-help mindfulness class. In the pilot program, participants rated high satisfaction of the mindfulness class and showed increased levels of mindfulness through the use of the client satisfaction questionnaire (CSQ-8) and the five facets of mindfulness questionnaire (FFMQ-39).
The purpose of this project is to implement an on-site mindfulness-based intervention to reduce stress and burnout among mental health care workers. Healthcare professionals are among the most stressed of any profession, and mental health workers are at an extremely high risk for burnout and compassion fatigue (Christopher & Meris, 2010) with an estimated 21% to 67% of mental health workers reporting that they experience high levels of burnout (Salyers et al., 2011).
After researching the literature, it was evident that practicing mindfulness can lead to less stress and higher job satisfaction. In an effort to combat this problem, an on-site mindfulness intervention was implemented at an outpatient psychiatric setting for eight weeks. Twenty-seven mental health workers gave their consent to be part of the study, and eleven were able to complete the study and self-assessment surveys for three time periods. The Maslach Burnout Inventory (MBI) (the Human Service Version) and a 1-item job satisfaction were used to measure the effect of intervention on employees’ levels of stress and job satisfaction.
A non-parametric Friedman test of differences among repeated measures was conducted and findings were not significant when comparing the average total scores of means between pre-, post-, or 1-month follow-up for Emotional Exhaustion (p = .148), Depersonalization (p = .223), Personal Achievement (p = .784) and job satisfaction (p = .422). The positive outcomes cited by participant support the thesis that the on-site mindfulness-based intervention is better than no intervention though the effect was not statistically significant.
The maps in this chartbook describe the physical activity environment in Newark in terms of geographic distribution of parks and physical activity facilities. Research shows that people who have access to these facilities are more likely to be physically active.
• The maps in this chartbook were created using physical activity facilities data from a commercial database (lnfoUSA, 2008), data from city departments, as well as information obtained from systematic web searches. The maps present data for the city of Newark and for a 1 mile buffer area around Newark.
• Physical activity centers include private and public facilities which offer physical activity opportunities for children 3-18 years of age.
• Physical activity environment maps are compared with Census 2000 data to visualize accessibility of physical activity opportunities in neighborhoods with different characteristics.
• Poverty level presented in this chartbook are based on the 2000 Federal Poverty Guidelines.
• Crime rates in Newark are presented at the census block group level as relative crime risk (CrimeRisk) obtained from a commercial data source (Applied Geographic Solutions, 2008). CrimeRisk - an index value derived from modeling the relationship between crime rates and demographics data - is expressed as the risk of crime occurring in a specific block group relative to the national average. For this chartbook, data on total CrimeRisk, which includes personal and property crimes, are reported.