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2.
Health Promot Pract ; 23(1_suppl): 21S-33S, 2022 11.
Article in English | MEDLINE | ID: mdl-36374599

ABSTRACT

Practitioners in health departments, university extension programs, and nonprofit organizations working in public health face varied challenges to publishing in the peer-reviewed literature. These practitioners may lack time, support, skills, and efficacy needed for manuscript submission, which keeps them from sharing their wisdom and experience-based evidence. This exclusion can contribute to literature gaps, a failure of evidence-based practice to inform future research, reduced ability to educate partners, and delays in advancing public health practice. Our article describes the writing workshops offered to Division of Nutrition, Physical Activity, and Obesity (DNPAO), Centers for Disease Control and Prevention (CDC) funded programs in 2021. This project consisted of three 60-minute introductory writing webinars open to all recipients, followed by a Writing for Publications workshop, an 8- to 9-week virtual learning/writing intensive for selected writing team applicants. The Society for Public Health Education staff, consultants, and CDC/DNPAO staff developed, refined, and presented the curriculum. The workshop for public health practitioner writing teams was offered to two cohorts and included extensive coaching and focused on potential submission to a Health Promotion Practice supplement, "Reducing Chronic Disease through Physical Activity and Nutrition: Public Health Practice in the Field" (see Supplemental Material), which was supported by CDC/DNPAO. We describe the webinars, the workshop design, modifications, evaluation methods and results.


Subject(s)
Curriculum , Writing , Humans , United States , Health Promotion , Public Health , Centers for Disease Control and Prevention, U.S.
4.
Child Obes ; 16(S2): S21-S26, 2020 09.
Article in English | MEDLINE | ID: mdl-32936036

ABSTRACT

Introduction: There is a great need for analytic techniques that allow for the synthesis of learning across seemingly idiosyncratic interventions. Objectives: The primary objective of this paper is to introduce taxonomic meta-analysis and explain how it is different from conventional meta-analysis. Results: Conventional meta-analysis has previously been used to examine the effectiveness of childhood obesity prevention interventions. However, these tend to examine narrowly defined sections of obesity prevention initiatives, and as such, do not allow the field to draw conclusions across settings, participants, or subjects. Compared with conventional meta-analysis, taxonomic meta-analysis widens the aperture of what can be examined to synthesize evidence across interventions with diverse topics, goals, research designs, and settings. A component approach is employed to examine interventions at the level of their essential features or activities to identify the concrete aspects of interventions that are used (intervention components), characteristics of the intended populations (target population or intended recipient characteristics), and facets of the environments in which they operate (contextual elements), and the relationship of these components to effect size. In addition, compared with conventional meta-analysis methods, taxonomic meta-analyses can include the results of natural experiments, policy initiatives, program implementation efforts and highly controlled experiments (as examples) regardless of the design of the report being analyzed as long as the intended outcome is the same. It also characterizes the domain of interventions that have been studied. Conclusion: Taxonomic meta-analysis can be a powerful tool for summarizing the evidence that exists and for generating hypotheses that are worthy of more rigorous testing.


Subject(s)
Pediatric Obesity , Child , Humans , Pediatric Obesity/epidemiology , Pediatric Obesity/prevention & control
5.
Child Obes ; 16(S2): S27-S220, 2020 09.
Article in English | MEDLINE | ID: mdl-32936039

ABSTRACT

Meta-analysis has been used to examine the effectiveness of childhood obesity prevention efforts, yet traditional conventional meta-analytic methods restrict the kinds of studies included, and either narrowly define mechanisms and agents of change, or examine the effectiveness of whole interventions as opposed to the specific actions that comprise interventions. Taxonomic meta-analytic methods widen the aperture of what can be included in a meta-analysis data set, allowing for inclusion of many types of interventions and study designs. The National Collaborative on Childhood Obesity Research Childhood Obesity Evidence Base (COEB) project focuses on interventions intended to prevent childhood obesity in children 2-5 years old who have an outcome measure of BMI. The COEB created taxonomies, anchored in the Social Ecological Model, which catalog specific outcomes, intervention components, intended recipients, and contexts of policies, initiatives, and interventions conducted at the individual, interpersonal, organizational, community, and societal level. Taxonomies were created by discovery from the literature itself using grounded theory. This article describes the process used for a novel taxonomic meta-analysis of childhood obesity prevention studies between the years 2010 and 2019. This method can be applied to other areas of research, including obesity prevention in additional populations.


Subject(s)
Pediatric Obesity , Child , Child, Preschool , Humans , Pediatric Obesity/epidemiology , Pediatric Obesity/prevention & control
6.
Child Obes ; 16(S2): S221-S248, 2020 09.
Article in English | MEDLINE | ID: mdl-32936038

ABSTRACT

Objective: To evaluate the efficacy of childhood obesity interventions and conduct a taxonomy of intervention components that are most effective in changing obesity-related health outcomes in children 2-5 years of age. Methods: Comprehensive searches located 51 studies from 18,335 unique records. Eligible studies: (1) assessed children aged 2-5, living in the United States; (2) evaluated an intervention to improve weight status; (3) identified a same-aged comparison group; (4) measured BMI; and (5) were available between January 2005 and August 2019. Coders extracted study, sample, and intervention characteristics. Effect sizes [ESs; and 95% confidence intervals (CIs)] were calculated by using random-effects models. Meta-regression was used to determine which intervention components explain variability in ESs. Results: Included were 51 studies evaluating 58 interventions (N = 29,085; mean age = 4 years; 50% girls). Relative to controls, children receiving an intervention had a lower BMI at the end of the intervention (g = 0.10, 95% CI = 0.02-0.18; k = 55) and at the last follow-up (g = 0.17, 95% CI = 0.04-0.30; k = 14; range = 18-143 weeks). Three intervention components moderated efficacy: engage caregivers in praise/encouragement for positive health-related behavior; provide education about the importance of screen time reduction to caregivers; and engage pediatricians/health care providers. Conclusions: Early childhood obesity interventions are effective in reducing BMI in preschool children. Our findings suggest that facilitating caregiver education about the importance of screen time reduction may be an important strategy in reducing early childhood obesity.


Subject(s)
Pediatric Obesity , Caregivers , Child , Child, Preschool , Educational Status , Female , Health Behavior , Health Education , Humans , Male , Pediatric Obesity/epidemiology , Pediatric Obesity/prevention & control
7.
Child Obes ; 16(S2): S249-S254, 2020 09.
Article in English | MEDLINE | ID: mdl-32936041

ABSTRACT

Purpose: The purpose of this article is to demonstrate the need for and utility of using a taxonomic approach for evidence aggregation and meta-analyses, with focus on prevention and reduction of childhood obesity in very young children. As evidence has been generated through heterogeneous efforts, it is important that the field makes use of all available evidence to learn what works, for who, and in what circumstances. Methods: The Childhood Obesity Evidence Base (COEB) project conducted a taxonomic meta-analysis, using Grounded Theory to code elements present in reports of existing studies and initiatives, of diverse design and evaluation approaches, which were then mapped onto the levels of the socio-ecologic model. This article is the fourth in a series that describes the COEB project overall. It discusses both generally and specifically how taxonomies contribute to traditional meta-analytic methods, what questions can and cannot be answered, the method's contribution to translational (implementation) capacity, and ability to inform future efforts. Results: The COEB project illustrates how the taxonomic meta-analytic approach broadens the evidence base, increases translational capacity for effective intervention components, and evaluates the influence of contextual elements to inform future initiatives. How the method is used to establish associations between varying intervention components, contextual elements, and outcomes is discussed. Conclusions: Taxonomies generated through this process can be used for meta-analysis, serving to generate topic-specific questions associated with intervention approaches and outcomes in context, which is adjunctive to traditional meta-analytic methods and can inform public health approaches.


Subject(s)
Pediatric Obesity , Child , Child, Preschool , Humans , Pediatric Obesity/epidemiology , Pediatric Obesity/prevention & control , Research Design
9.
Child Obes ; 14(S1): S12-S21, 2018 03.
Article in English | MEDLINE | ID: mdl-29565653

ABSTRACT

BACKGROUND: Although childhood obesity rates have been high in the last few decades, recent national reports indicate a stabilization of rates among some subpopulations of children. This study examines the implementation of initiatives, policies, and programs (referred to as strategies) in four communities that experienced declines in childhood obesity between 2003 and 2012. METHODS AND RESULTS: The Childhood Obesity Decline project verified obesity declines and identified strategies that may have influenced and supported the decline in obesity. The project used an adaptation of the Systematic Screening and Assessment method to identify key informants in each site. Four settings were highlighted related to childhood: (1) communities, (2) schools, (3) early care and education, and (4) healthcare. The findings indicate that programs and policies were implemented across local settings (primarily in schools and early childhood settings) and at the state level, during a timeframe of supportive federal policies and initiatives. CONCLUSIONS: Multilevel approaches were aimed to improve the nutrition and physical activity environments where children spend most of their time. We hypothesized that other, more distal strategies amplified and reinforced the impact of the efforts that more directly targeted children. The simultaneous public health messaging and multilayered initiatives, supported by cross-sector partnerships and active, high-level champions, were identified as likely important contributors to success in attaining declines in rates of childhood obesity.


Subject(s)
Community Health Services/organization & administration , Health Promotion/organization & administration , Pediatric Obesity/prevention & control , Adolescent , Child , Child, Preschool , Diet, Healthy , Exercise , Female , Humans , Male , Pediatric Obesity/epidemiology , Policy Making , Prevalence , Program Evaluation , United States/epidemiology
10.
Child Obes ; 14(S1): S32-S39, 2018 03.
Article in English | MEDLINE | ID: mdl-29565654

ABSTRACT

BACKGROUND: The social ecological model (SEM) is a framework for understanding the interactive effects of personal and environmental factors that determine behavior. The SEM has been used to examine childhood obesity interventions and identify factors at each level that impact behaviors. However, little is known about how those factors interact both within and across levels of the SEM. METHODS: The Childhood Obesity Declines (COBD) project was exploratory, attempting to capture retrospectively policies and programs that occurred in four communities that reported small declines in childhood obesity. It also examined contextual factors that may have influenced initiatives, programs, or policies. Data collection included policy and program assessments, key informant interviews, and document reviews. These data were aggregated by the COBD project team to form a site report for each community (available at www.nccor.org/projects/obesity-declines ). These reports were used to develop site summaries that illustrate how policies, programs, and activities worked to address childhood obesity in each study site. RESULTS/CONCLUSIONS: Site summaries for Anchorage, AK; Granville County, NC; Philadelphia, PA; and New York City, NY, describe those policies and programs implemented across the levels of the SEM to address childhood obesity and examine interactions both across and within levels of the model to better understand what factors appear important for implementation success.


Subject(s)
Community Health Services/organization & administration , Guideline Adherence/statistics & numerical data , Health Policy , Health Promotion/organization & administration , Pediatric Obesity/prevention & control , Adolescent , Child , Child, Preschool , Female , Humans , Male , Pediatric Obesity/epidemiology , Prevalence , Program Evaluation , Retrospective Studies , United States/epidemiology
11.
Child Obes ; 14(S1): S22-S31, 2018 03.
Article in English | MEDLINE | ID: mdl-29565655

ABSTRACT

BACKGROUND: State- and local-level policies can influence children's diet quality and physical activity (PA) behaviors. The goal of this article is to understand the enacted state and local policy landscape in four communities reporting declines in childhood obesity. METHODS AND RESULTS: State-level policies were searched within the CDC's online Chronic Disease State Policy Tracking System. Local level policies were captured during key informant interviews in each of the sites. Policies were coded by setting [i.e., early care and education (ECE) also known as child care, school, community], jurisdictional level (i.e., state or local) and policy type (i.e., legislation or regulation). The time period for each site was unique, capturing enacted policies 5 years before the reported declines in childhood obesity in each of the communities. A total of 39 policies were captured across the 4 sites. The majority originated at the state level. Two policies pertaining to ECE, documented during key informant interviews, were found to be adopted at the local level. CONCLUSION: Similarities were noted between the four communities in the types of polices enacted. All four communities had state- and/or local-level policies that aimed to improve the nutrition environment and increase opportunities for PA in both the ECE and K-12 school settings. This article is a step in the process of determining what may have contributed to obesity declines in the selected communities.


Subject(s)
Community Health Services/organization & administration , Guideline Adherence , Health Promotion/organization & administration , Pediatric Obesity/prevention & control , Adolescent , Child , Child Nutritional Physiological Phenomena , Child, Preschool , Exercise , Humans , Nutrition Policy , Pediatric Obesity/epidemiology , Social Environment , United States/epidemiology
12.
Child Obes ; 14(S1): S40-S44, 2018 03.
Article in English | MEDLINE | ID: mdl-29565656

ABSTRACT

BACKGROUND: Childhood obesity remains prevalent and is increasing in some disadvantaged populations. Numerous research, policy and community initiatives are undertaken to impact this pandemic. Understudied are natural experiments. The need to learn from these efforts is paramount. Resulting evidence may not be readily available to inform future research, community initiatives, and policy development/implementation. METHODS: We discuss the implications of using an adaptation of the Systematic Screening and Assessment (SSA) method to evaluate the Childhood Obesity Declines (COBD) project. The project examined successful initiatives, programs and policies in four diverse communities which were concurrent with significant declines in child obesity. In the context of other research designs and evaluation schemas, rationale for use of SSA is presented. Evidence generated by this method is highlighted and guidance suggested for evaluation of future studies of community-based childhood obesity prevention initiatives. Support for the role of stakeholder collaboratives, in particular the National Collaborative on Childhood Obesity Research, as a synergistic vehicle to accelerate research on childhood obesity is discussed. RESULTS/DISCUSSION: SSA mapped active processes and provided contextual understanding of multi-level/component simultaneous efforts to reduce rates of childhood obesity in community settings. Initiatives, programs and policies were not necessarily coordinated. And although direct attribution of intervention/initiative/policy components could not be made, the what, by who, how, to whom was temporally associated with statistically significant reductions in childhood obesity. CONCLUSIONS: SSA provides evidence for context and processes which are not often evaluated in other data analytic methods. SSA provides an additional tool to layer with other evaluation approaches.


Subject(s)
Community Health Services/organization & administration , Health Promotion/organization & administration , Pediatric Obesity/prevention & control , Adolescent , Child , Child, Preschool , Female , Humans , Male , Pediatric Obesity/epidemiology , Policy Making , Program Evaluation , Qualitative Research , United States/epidemiology
13.
Child Obes ; 14(S1): S5-S11, 2018 03.
Article in English | MEDLINE | ID: mdl-29565657

ABSTRACT

BACKGROUND: The evidence for and our understanding of community-level strategies such as policies, system, and environmental changes that support healthy eating and active living is growing. However, researchers and evaluation scientists alike are still not confident in what to recommend for preventing or sustaining declines in the prevalence of obesity. METHODS: The Systematic Screening and Assessment (SSA) methodology was adapted as a retrospective process to confirm obesity declines and to better understand what and how policies and programs or interventions may contribute as drivers. The Childhood Obesity Declines (COBD) project's adaptation of the SSA methodology consisted of the following components: (1) establishing and convening an external expert advisory panel; (2) identification and selection of sites reporting obesity declines; (3) confirmation and review of what strategies occurred and contextual factors were present during the period of the obesity decline; and (4) reporting the findings to sites and the field. RESULTS/DISCUSSION: The primary result of the COBD project is an in-depth examination of the question, "What happened and how did it happen in communities where the prevalence of obesity declined?" The primary aim of this article is to describe the project's methodology and present its limitations and strengths. CONCLUSIONS: Exploration of the natural experiments such that occurred in Anchorage, Granville County, New York City, and Philadelphia is the beginning of our understanding of the drivers and contextual factors that may affect childhood obesity. This retrospective examination allows us to: (1) describe targeted interventions; (2) examine the timeline and summarize intervention implementation; (3) document national, state, local, and institutional policies; and (4) examine the influence of the reach and potential multisector layering of interventions.


Subject(s)
Community Health Services/organization & administration , Health Promotion/organization & administration , Pediatric Obesity/prevention & control , Adolescent , Child , Child, Preschool , Female , Health Knowledge, Attitudes, Practice , Health Policy , Humans , Male , Pediatric Obesity/epidemiology , Prevalence , Program Development , Retrospective Studies , United States/epidemiology
14.
Child Obes ; 14(S1): S1-S4, 2018 03.
Article in English | MEDLINE | ID: mdl-29565658

ABSTRACT

BACKGROUND: Recent findings show that national childhood obesity prevalence overall is improving among some age groups, but that disparities continue to persist, particularly among populations that have historically been at higher risk of obesity and overweight. Over the past several years, many jurisdictions at the city or county level across the nation have also reported declines. Little evaluation has focused on understanding the factors that influence the implementation of efforts to reduce childhood obesity rates. This article summarizes the rationale, aims, and overall design of the Childhood Obesity Declines Project (COBD), which was the first of its kind to systematically study and document the what, how, when, and where of community-based obesity strategies in four distinct communities across the nation. METHODS: COBD was initiated by the National Collaborative on Childhood Obesity Research (NCCOR), was led by a subset of NCCOR advisors and a research team at ICF, and was guided by external advisors made up of researchers, decision makers, and other key stakeholders. The research team used an adapted version of the Systematic Screening and Assessment method to review and collect retrospective implementation data in four communities. RESULTS: COBD found that sites implemented strategies across the many levels and environments that impact children's well being (akin to the social-ecological framework), building a Culture of Health in their communities. CONCLUSIONS: COBD demonstrates how collaboratives of major funders with the support of other experts and key stakeholders, can help to accelerate progress in identifying and disseminating strategies that promote healthy eating and physical activity.


Subject(s)
Community Health Services/organization & administration , Health Promotion , Pediatric Obesity/prevention & control , Adolescent , Child , Child, Preschool , Diet, Healthy , Exercise , Female , Health Promotion/methods , Humans , Male , Pediatric Obesity/epidemiology , Prevalence , Qualitative Research , Retrospective Studies , Stakeholder Participation , United States/epidemiology
15.
Am J Health Promot ; 32(1): 96-105, 2018 Jan.
Article in English | MEDLINE | ID: mdl-27597795

ABSTRACT

PURPOSE: To examine the workplace food and physical activity (PA) environments and wellness culture reported by employed United States adults, overall and by employer size. DESIGN: Cross-sectional study using web-based survey on wellness policies and environmental supports for healthy eating and PA. SETTING: Worksites in the United States. PARTICIPANTS: A total of 2101 adults employed outside the home. MEASURES: Survey items were based on the Centers for Disease Control and Prevention Worksite Health ScoreCard and Checklist of Health Promotion Environments and included the availability and promotion of healthy food items, nutrition education, promotion of breast-feeding, availability of PA amenities and programs, facility discounts, time for PA, stairwell signage, health promotion programs, and health risk assessments. ANALYSIS: Descriptive statistics were used to examine the prevalence of worksite environmental and facility supports by employer size (<100 or ≥100 employees). Chi-square tests were used to examine the differences by employer size. RESULTS: Among employed respondents with workplace food or drink vending machines, approximately 35% indicated the availability of healthy items. Regarding PA, 30.9% of respondents reported that their employer provided opportunities to be physically active and 17.6% reported worksite exercise facilities. Wellness programs were reported by 53.2% working for large employers, compared to 18.1% for smaller employers. CONCLUSION: Employee reports suggested that workplace supports for healthy eating, PA, and wellness were limited and were less common among smaller employers.


Subject(s)
Diet, Healthy , Exercise , Food Services/statistics & numerical data , Health Promotion/methods , Occupational Health Services/methods , Workplace/statistics & numerical data , Adult , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , United States
16.
Prev Chronic Dis ; 14: E113, 2017 11 16.
Article in English | MEDLINE | ID: mdl-29144894

ABSTRACT

INTRODUCTION: More than 42 million people in the United States are food insecure. Although some health care entities are addressing food insecurity among patients because of associations with disease risk and management, little is known about the components of these initiatives. METHODS: The Systematic Screening and Assessment Method was used to conduct a landscape assessment of US health care entity-based programs that screen patients for food insecurity and connect them with food resources. A network of food insecurity researchers, experts, and practitioners identified 57 programs, 22 of which met the inclusion criteria of being health care entities that 1) screen patients for food insecurity, 2) link patients to food resources, and 3) target patients including adults aged 50 years or older (a focus of this assessment). Data on key features of each program were abstracted from documentation and telephone interviews. RESULTS: Most programs (n = 13) focus on patients with chronic disease, and most (n = 12) partner with food banks. Common interventions include referrals to or a list of food resources (n = 19), case managers who navigate patients to resources (n = 15), assistance with federal benefit applications (n = 14), patient education and skill building (n = 13), and distribution of fruit and vegetable vouchers redeemable at farmers markets (n = 8). Most programs (n = 14) routinely screen all patients. CONCLUSION: The programs reviewed use various strategies to screen patients, including older adults, for food insecurity and to connect them to food resources. Research is needed on program effectiveness in improving patient outcomes. Such evidence can be used to inform the investments of potential stakeholders, including health care entities, community organizations, and insurers.


Subject(s)
Food Assistance/organization & administration , Food Supply , Data Collection , Food Assistance/economics , Humans , Needs Assessment , Poverty , Risk Factors , United States
17.
MMWR Surveill Summ ; 66(5): 1-8, 2017 02 03.
Article in English | MEDLINE | ID: mdl-28151923

ABSTRACT

PROBLEM/CONDITION: Persons living in rural areas are recognized as a health disparity population because the prevalence of disease and rate of premature death are higher than for the overall population of the United States. Surveillance data about health-related behaviors are rarely reported by urban-rural status, which makes comparisons difficult among persons living in metropolitan and nonmetropolitan counties. REPORTING PERIOD: 2013. DESCRIPTION OF SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services related to the leading causes of death and disability. BRFSS data were analyzed for 398,208 adults aged ≥18 years to estimate the prevalence of five self-reported health-related behaviors (sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations) by urban-rural status. For this report, rural is defined as the noncore counties described in the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties. RESULTS: Approximately one third of U.S. adults practice at least four of these five behaviors. Compared with adults living in the four types of metropolitan counties (large central metropolitan, large fringe metropolitan, medium metropolitan, and small metropolitan), adults living in the two types of nonmetropolitan counties (micropolitan and noncore) did not differ in the prevalence of sufficient sleep; had higher prevalence of nondrinking or moderate drinking; and had lower prevalence of current nonsmoking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations. The overall age-adjusted prevalence of reporting at least four of the five health-related behaviors was 30.4%. The prevalence among the estimated 13.3 million adults living in noncore counties was lower (27.0%) than among those in micropolitan counties (28.8%), small metropolitan counties (29.5%), medium metropolitan counties (30.5%), large fringe metropolitan counties (30.2%), and large metropolitan centers (31.7%). INTERPRETATION: This is the first report of the prevalence of these five health-related behaviors for the six urban-rural categories. Nonmetropolitan counties have lower prevalence of three and clustering of at least four health-related behaviors that are associated with the leading chronic disease causes of death. Prevalence of sufficient sleep was consistently low and did not differ by urban-rural status. PUBLIC HEALTH ACTION: Chronic disease prevention efforts focus on improving the communities, schools, worksites, and health systems in which persons live, learn, work, and play. Evidence-based strategies to improve health-related behaviors in the population of the United States can be used to reach the Healthy People 2020 objectives for these five self-reported health-related behaviors (sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations). These findings suggest an ongoing need to increase public awareness and public education, particularly in rural counties where prevalence of these health-related behaviors is lowest.


Subject(s)
Health Behavior , Population Surveillance , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Adolescent , Adult , Aged , Behavioral Risk Factor Surveillance System , Chronic Disease , Female , Health Status Disparities , Humans , Male , Middle Aged , Prevalence , Risk-Taking , United States/epidemiology , Young Adult
18.
Public Health Nutr ; 19(15): 2752-9, 2016 10.
Article in English | MEDLINE | ID: mdl-27280341

ABSTRACT

OBJECTIVE: The present study evaluated the extent to which child-care centre menus prepared in advance correspond with food and beverage items served to children. The authors identified centre and staff characteristics that were associated with matches between menus and what was served. DESIGN: Menus were collected from ninety-five centres in New York City (NYC). Direct observation of foods and beverages served to children were conducted during 524 meal and snack times at these centres between April and June 2010, as part of a larger study designed to determine compliance of child-care centres with city health department regulations for nutrition. SETTING: Child-care centres were located in low-income neighbourhoods in NYC. RESULTS: Overall, 87 % of the foods and beverages listed on the menus or allowed as substitutions were served. Menu items matched with foods and beverages served for all major food groups by >60 %. Sweets and water had lower match percentages (40 and 32 %, respectively), but water was served 68 % of the time when it was not listed on the menu. The staff person making the food and purchasing decisions predicted the match between the planned or substituted items on the menus and the foods and beverages served. CONCLUSIONS: In the present study, child-care centre menus included most foods and beverages served to children. Menus planned in advance have potential to be used to inform parents about which child-care centre to send their child or what foods and beverages their enrolled children will be offered throughout the day.


Subject(s)
Child Day Care Centers , Food Services , Beverages , Child, Preschool , Food , Humans , New York City , Nutrition Policy
19.
Public Health Nutr ; 19(13): 2451-7, 2016 09.
Article in English | MEDLINE | ID: mdl-27280552

ABSTRACT

OBJECTIVE: The present study compared foods and beverages provided to and consumed by children at child-care centres in New York City (NYC) with national nutrition recommendations. DESIGN: The study used survey, observational and centre record data collected from child-care centres. Food and beverage intakes from two days of observation and amounts of energy and nutrients were estimated using the US National Cancer Institute's Automated Self-Administered 24 h Recall system. SETTING: Meal and snack time at 108 child-care centres in low-income communities in NYC. SUBJECTS: Children aged 3-4 years old in classrooms selected by the directors of the participating child-care centres. RESULTS: Foods and beverages provided to and consumed by children (n 630) met >50 % of the Dietary Reference Intake (DRI) for most nutrients. Intakes of fibre and vitamins D and E were 50 % of the recommended average daily intake amounts for total grains, fruits and fruit juices, and dairy, but <50 % of the recommended amounts for whole grains, protein foods and vegetables. Intake of oils was below the allowance for energy levels, but foods and beverages with solid fats and added sugars exceeded the limits by 68 %. CONCLUSIONS: Providing more whole grains, vegetables and low-fat dairy and fewer foods with solid fats and added sugars may improve children's diet quality when at child-care centres. Centre staff may need training, resources and strategies in order to meet the nutrition recommendations.


Subject(s)
Beverages , Diet , Nutrition Policy , Recommended Dietary Allowances , Child , Child Day Care Centers , Child, Preschool , Dairy Products , Energy Intake , Female , Fruit , Humans , Infant , Male , New York City , Vegetables , Whole Grains
20.
Curr Opin Hematol ; 22(4): 309-16, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26049751

ABSTRACT

PURPOSE OF REVIEW: Hematopoietic stem and progenitor cell (HSPC) transplantation is frequently used in the treatment of hematological diseases. The outcome of the procedure is strongly influenced by the quantity of injected cells, especially if low cell numbers are infused as frequently encountered with cord blood transplants. Ex-vivo expansion of cord blood HSPCs would increase cell numbers, thus accelerating engraftment and reducing infectious complications and transplant-related mortality. In addition, expansion would maximize accessibility to better HLA-matched units, further improving patients' outcome. Similarly, in-vitro maintenance or expansion of leukemic stem cells (LSCs) would enable research into the much awaited targeted therapies that spare normal hematopoietic stem cells (HSCs). Here, we review recent findings on small molecules (excluding biologicals) regulating the activity of normal and leukemic stem cells and provide insights into basic science and clinical implications. RECENT FINDINGS: High-throughput screening of small molecules active on primary hematopoietic cells has led to the identification of two potent series of chemical compounds, best exemplified by StemRegenin1 and UM171, that both expand HSPCs. Current data suggest that the aryl hydrocarbon receptor antagonist StemRegenin1 is most active on primitive normal hematopoietic progenitors and LSCs and that UM171 expands long-term normal HSCs. SUMMARY: Small molecules are clinically useful and powerful tools for expanding HSPCs. They are also of potential value for dissecting the still elusive regulatory networks that govern self-renewal of human HSCs.


Subject(s)
Fetal Blood/drug effects , Hematopoietic Stem Cells/drug effects , Indoles/pharmacology , Neoplastic Stem Cells/drug effects , Purines/pharmacology , Pyrimidines/pharmacology , Cell Count , Cell Culture Techniques , Cell Proliferation/drug effects , Fetal Blood/cytology , Fetal Blood/metabolism , Gene Expression Regulation , Hematopoietic Stem Cells/cytology , Hematopoietic Stem Cells/metabolism , High-Throughput Screening Assays , Humans , Leukemia/genetics , Leukemia/metabolism , Leukemia/pathology , Neoplastic Stem Cells/metabolism , Neoplastic Stem Cells/pathology , Receptors, Aryl Hydrocarbon/antagonists & inhibitors , Receptors, Aryl Hydrocarbon/genetics , Receptors, Aryl Hydrocarbon/metabolism , Signal Transduction
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