Home and Workplace Built Environment Supports for Physical Activity

BACKGROUND: Physical inactivity has been associated with obesity and related chronic diseases. Understanding built environment (BE) influences on specific domains of physical activity (PA) around homes and workplaces is important for public health interventions to increase population PA.

PURPOSE: To examine the association of home and workplace BE features with PA occurring across specific life domains (work, leisure, and travel).

METHODS: Between 2012 and 2013, telephone interviews were conducted with participants in four Missouri metropolitan areas. Questions included sociodemographic characteristics, home and workplace supports for PA, and dietary behaviors. Data analysis was conducted in 2013; logistic regression was used to examine associations between BE features and domain-specific PA.

RESULTS: In home neighborhoods, seven of 12 BE features (availability of fruits and vegetables, presence of shops and stores, bike facilities, recreation facilities, crime rate, seeing others active, and interesting things) were associated with leisure PA. The global average score of home neighborhood BE features was associated with greater odds of travel PA (AOR=1.99, 95% CI=1.46, 2.72); leisure PA (AOR=1.84, 95% CI=1.44, 2.34); and total PA (AOR=1.41, 95% CI=1.04, 1.92). Associations between workplace neighborhoods' BE features and workplace PA were small but in the expected direction.

CONCLUSIONS: This study offers empirical evidence on BE supports for domain-specific PA. Findings suggest that diverse, attractive, and walkable neighborhoods around workplaces support walking, bicycling, and use of public transit. Public health practitioners, researchers, and worksite leaders could benefit by utilizing worksite domains and measures from this study for future BE assessments.

Choice of commuting mode among employees: Do home neighborhood environment, worksite neighborhood environment, and worksite policy and supports matter?

BACKGROUND: Promoting the use of public transit and active transport (walking and cycling) instead of car driving is an appealing strategy to increase overall physical activity.

PURPOSE: To quantify the combined associations between self-reported home and worksite neighborhood environments, worksite support and policies, and employees' commuting modes.

METHOD: Between 2012 and 2013, participants residing in four Missouri metropolitan areas were interviewed via telephone (n = 1,338) and provided information on socio-demographic characteristics, home and worksite neighborhoods, and worksite support and policies. Commuting mode was self-reported and categorized into car driving, public transit, and active commuting. Commuting distance was calculated using geographic information systems. Commuters providing completed data were included in the analysis. Multivariate logistic regression models were used to examine the correlates of using public transit and active commuting.

RESULT: The majority of participants reported commuting by driving (88.9%); only 4.9% used public transit and 6.2% used active modes. After multivariate adjustment, having transit stops within 10-15 minutes walking distance from home (p=0.05) and using worksite incentive for public transit (p<0.001) were associated with commuting by public transit. Commuting distance (p<0.001) was negatively associated with active commuting. Having free or low cost recreation facilities around the worksite (p=0.04) and using bike facilities to lock bikes at the worksite (p<0.001) were associated with active commuting.

CONCLUSION: Both environment features and worksite supports and policies are associated with the choice of commuting mode. Future studies should use longitudinal designs to investigate the potential of promoting alternative commuting modes through worksite efforts that support sustainable commuting behaviors as well as the potential of built environment improvements.

Supporting Creative, Whole Peacebuilders: An Apprenticeship Program

This chapter has two major sections, one by Lederach and the apprentices, and one by Goldberg. The introduction above represents an amalgam of Lederach’s own writing and Goldberg’s, which summarizes some key information, but loses in written flow what it gains in information. As Goldberg reviewed Lederach’s initial chapter, she became deeply interested and asked Lederach for further materials. She conducted two interviews and collected background and supplementary materials and used them to explore some areas that were touched on by Lederach, but, if expanded, offered greater richness. In order to preserve the clarity of writing, the material will be presented in two sections. The first will include Lederach’s original chapter with the apprentice narratives. We start with an overview provided by John Paul that describes several practices incorporated into the process of the past three years. Each of the four apprentices will then reflect on how they experienced these practices and the impact, if any, they have had on their lives and professional careers. Each segment written by Lederach and the apprentices is written in the first person, starting with Lederach’s practices, below. Following will be Goldberg’s work deepening the information presented in Lederach’s section, and the conclusion.

Biomarker responses to folic acid intervention in healthy adults: a meta-analysis of randomized controlled trials

BACKGROUND: The task of revising dietary folate recommendations for optimal health is complicated by a lack of data quantifying the biomarker response that reliably reflects a given folate intake.

OBJECTIVE: We conducted a dose-response meta-analysis in healthy adults to quantify the typical response of recognized folate biomarkers to a change in folic acid intake.

DESIGN: Electronic and bibliographic searches identified 19 randomized controlled trials that supplemented with folic acid and measured folate biomarkers before and after the intervention in apparently healthy adults aged ≥18 y. For each biomarker response, the regression coefficient (β) for individual studies and the overall pooled β were calculated by using random-effects meta-analysis.

RESULTS: Folate biomarkers (serum/plasma and red blood cell folate) increased in response to folic acid in a dose-response manner only up to an intake of 400 μg/d. Calculation of the overall pooled β for studies in the range of 50 to 400 μg/d indicated that a doubling of folic acid intake resulted in an increase in serum/plasma folate by 63% (71% for microbiological assay; 61% for nonmicrobiological assay) and red blood cell folate by 31% (irrespective of whether microbiological or other assay was used). Studies that used the microbiological assay indicated lower heterogeneity compared with studies using nonmicrobiological assays for determining serum/plasma (I(2) = 13.5% compared with I(2) = 77.2%) and red blood cell (I(2) = 45.9% compared with I(2) = 70.2%) folate.

CONCLUSIONS: Studies administering >400 μg folic acid/d show no dose-response relation and thus will not yield meaningful results for consideration when generating dietary folate recommendations. The calculated folate biomarker response to a given folic acid intake may be more robust with the use of a microbiological assay rather than alternative methods for blood folate measurement.

Facilitating a culture of responsible and effective sharing of cancer genome data

Rapid and affordable tumor molecular profiling has led to an explosion of clinical and genomic data poised to enhance the diagnosis, prognostication and treatment of cancer. A critical point has now been reached at which the analysis and storage of annotated clinical and genomic information in unconnected silos will stall the advancement of precision cancer care. Information systems must be harmonized to overcome the multiple technical and logistical barriers to data sharing. Against this backdrop, the Global Alliance for Genomic Health (GA4GH) was established in 2013 to create a common framework that enables responsible, voluntary and secure sharing of clinical and genomic data. This Perspective from the GA4GH Clinical Working Group Cancer Task Team highlights the data-aggregation challenges faced by the field, suggests potential collaborative solutions and describes how GA4GH can catalyze a harmonized data-sharing culture.

The effectiveness, acceptability and cost-effectiveness of psychosocial interventions for maltreated children and adolescents: An evidence synthesis

DESIGN We will address our research objectives by searching the published and unpublished literature and conducting an evidence synthesis of i) studies of the effectiveness of psychosocial interventions provided for children and adolescents who have suffered maltreatment, ii) economic evaluations of these interventions and iii) studies of their acceptability to children, adolescents and their carers. SEARCH STRATEGY: Evidence will be identified via electronic databases for health and allied health literature, social sciences and social welfare, education and other evidence based depositories, and economic databases. We will identify material generated by user-led,voluntary sector enquiry by searching the internet and browsing the websites of relevant UK government departments and charities. Additionally, studies will be identified via the bibliographies of retrieved articles/reviews; targeted author searches; forward citation searching. We will also use our extensive professional networks, and our planned consultations with key stakeholders and our study steering committee. Databases will be searched from inception to time of search. REVIEW STRATEGY Inclusion criteria: 1) Infants, children or adolescents who have experienced maltreatment between the ages of 0 17 years. 2) All psychosocial interventions available for maltreated children and adolescents, by any provider and in any setting, aiming to address the sequelae of any form of maltreatment, including fabricated illness. 3) For synthesis of evidence of effectiveness: all controlled studies in which psychosocial interventions are compared with no-treatment, treatment as usual, waitlist or other-treated controls. For a synthesis of evidence of acceptability we will include any design that asks participants for their views or provides data on non-participation. For decision-analytic modelling we may include uncontrolled studies. Primary and secondary outcomes will be confirmed in consultation with stakeholders. Provisional primary outcomes are psychological distress/mental health (particularly PTSD, depression and anxiety, self-harm); ii) behaviour; iii) social functioning; iv) cognitive / academic attainment, v) quality of life, and vi) costs. After studies that meet the inclusion criteria have been identified (independently by two reviewers), data will be extracted and risk of bias (RoB) assessed (independently by two reviewers) using the Cochrane Collaboration RoB Tool (effectiveness), quality hierarchies of data sources for economic analyses (cost-effectiveness) and the CASP tool for qualitative research (acceptability). Where interventions are similar and appropriate data are available (or can be obtained) evidence synthesis will be performed to pool the results. Where possible, we will explore the extent to which age, maltreatment history (including whether intra- or extra-familial), time since maltreatment, care setting (family / out-of-home care including foster care/residential), care history, and characteristics of intervention (type, setting, provider, duration) moderate the effects of psychosocial interventions. A synthesis of acceptability data will be undertaken, using a narrative approach to synthesis. A decision-analytic model will be constructed to compare the expected cost-effectiveness of the different types of intervention identified in the systematic review. We will also conduct a Value of information analysis if the data permit. EXPECTED OUTPUTS: A synthesis of the effectiveness and cost effectiveness of psychosocial interventions for maltreated children (taking into account age, maltreatment profile and setting) and their acceptability to key stakeholders.