Multilevel Interventions Targeting Obesity: State of the Science and Future Directions.

A seminal report, released in 2001 by the Institute of Medicine, spurred research on the design, implementation, and evaluation of multilevel interventions targeting obesity and related behaviors. By addressing social and environmental factors that support positive health behavior change, interventions that include multiple levels of influence (e.g., individual, social, structural) aim to bolster effectiveness and, ultimately, public health impact. With more than 20 years of multilevel obesity intervention research to draw from, this review was informed by published reviews (n = 51) and identified intervention trials (n = 103), inclusive of all ages and countries, to elucidate key learnings about the state of the science. This review provides a critical appraisal of the scientific literature related to multilevel obesity interventions and includes a description of their effectiveness on adiposity outcomes and prominent characteristics (e.g., population, setting, levels). Key objectives for future research are recommended to advance innovations to improve population health and reduce obesity.

Changes in physical activity outcomes in the Strong Hearts, Healthy Communities (SHHC-2.0) community-based randomized trial.

BACKGROUND: Physical inactivity is a risk factor for numerous adverse health conditions and outcomes, including all-cause mortality. Aging rural women are at particular risk for physical inactivity based on environmental, sociocultural, and psychosocial factors. This study reports on changes in physical activity and associated factors from a multicomponent community-engaged intervention trial. METHODS: Strong Hearts, Healthy Communities 2.0 (SHHC-2.0) was a 24-week cluster (community) randomized controlled trial building on the results from the previous trial of SHHC-1.0. Rural women (n = 182) aged 40 and over living in 11 rural communities in upstate New York were recruited. The intervention consisted of twice-weekly experiential classes focused on exercise, nutrition, and civic engagement. Physical activity outcomes included accelerometry and self-report as well as related psychosocial measures at midpoint (12 weeks) and post-intervention (24 weeks). Data were analyzed using multilevel linear regression models with the community as the random effect. RESULTS: Compared to participants from the control communities, participants in the intervention communities showed a significant increase in objectively measured moderate to vigorous intensity physical activity: at 12 weeks (increase of 8.1 min per day, P < 0.001) and at 24 weeks (increase of 6.4 min per day; P = 0.011). Self-reported total MET minutes per week also increased: at 12 weeks (increase of 725.8, P = 0.003) and 24 weeks (increase of 955.9, P = 0.002). Several of the psychosocial variables also showed significant positive changes. CONCLUSIONS: The SHHC-2.0 intervention successfully increased physical activity level and related outcome measures. Modifications made based upon in-depth process evaluation from SHHC-1.0 appear to have been effective in increasing physical activity in this at-risk population. TRIAL REGISTRATION: Clinicaltrials.gov: NCT03059472. Registered 23 February 2017.

Evaluating the implementation of cervical cancer screening programs in low-resource settings globally: a systematized review.

PURPOSE: Cervical cancer disproportionately burdens low-resource populations where access to quality screening services is limited. A greater understanding of sustainable approaches to implement cervical cancer screening services is needed. METHODS: We conducted a systematized literature review of evaluations from cervical cancer screening programs implemented in resource-limited settings globally that included a formal evaluation and intention of program sustainment over time. We categorized the included studies using the continuum of implementation research framework which categorizes studies progressively from "implementation light" to more implementation intensive. RESULTS: Fifty-one of 13,330 initially identified papers were reviewed with most study sites in low-resource settings of middle-income countries (94.1%) ,while 9.8% were in low-income countries. Across all studies, visual inspection of the cervix with acetic acid (58.8%) was the most prevalent screening method followed by cytology testing (39.2%). Demand-side (client and community) considerations were reported in 86.3% of the articles, while 68.6% focused scientific inquiry on the supply side (health service). Eighteen articles (35.3%) were categorized as "Informing Scale-up" along the continuum of implementation research. CONCLUSIONS: The number of cervical cancer screening implementation reports is limited globally, especially in low-income countries. The 18 papers we classified as Informing Scale-up provide critical insights for developing programs relevant to implementation outcomes. We recommend that program managers report lessons learnt to build collective implementation knowledge for cervical cancer screening services, globally.

Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial.

BACKGROUND: Excessive gestational weight gain (GWG) contributes to the development of obesity in mother and child. Internet-based interventions have the potential for delivering innovative and interactive options for prevention of excessive GWG to large numbers of people. OBJECTIVE: The objective of this study was to create a novel measure of Internet-based intervention usage patterns and examine whether usage of an Internet-based intervention is associated with reduced risk of excessive GWG. METHODS: The website featured blogs, local resources, articles, frequently asked questions (FAQs), and events that were available to women in both the intervention and control arm. Weekly reminders to use the website and to highlight new content were emailed to participants in both arms. Only intervention arm participants had access to the weight gain tracker and diet and physical activity goal-setting tools. A total of 1335 (898 intervention and 437 control) relatively diverse and healthy pregnant women were randomly assigned to the intervention arm or control arm. Usage patterns were examined for both intervention and control arm participants using latent class analysis. Regression analyses were used to estimate the association between usage patterns and three GWG outcomes: excessive total GWG, excessive GWG rate, and GWG. RESULTS: Five usage patterns best characterized the usage of the intervention by intervention arm participants. Three usage patterns best characterized control arm participants' usage. Control arm usage patterns were not associated with excessive GWG, whereas intervention arm usage patterns were associated with excessive GWG. CONCLUSIONS: The control and intervention arm usage pattern characterization is a unique methodological contribution to process evaluations for self-directed Internet-based interventions. In the intervention arm some usage patterns were associated with GWG outcomes. CLINICALTRIAL: ClinicalTrials.gov; Clinical Trials Number: NCT01331564; https://clinicaltrials.gov/ct2/show/NCT01331564 (Archived by WebCite at http://www.webcitation/6nI9LuX9w).

Changes in family income status and the development of overweight and obesity from 2 to 15 years: a longitudinal study.

BACKGROUND: An emerging body of research suggests the trajectory of a family's income affects children's health and development more profoundly than the often-measured income at a single time point. The purpose of this study was to examine the associations between changes in family income status, early-life risk factors, and body mass index (BMI) z-score trajectory from age 2 to 15 years. METHODS: This longitudinal study employed a birth cohort (n = 595) located in a rural region of New York State. Data were collected through an audit of medical records and mailed questionnaires. Family low-income and BMI z-score trajectories were identified using latent-class modeling techniques that group children based on similar trends across time. We examined five early-life risk factors in relation to income and BMI z-score trajectories: maternal overweight/obesity, maternal gestational weight gain, maternal smoking during pregnancy, breastfeeding duration, and early-life weight gain trajectory. We used multinomial logistic regression models to estimate the odds of being in a BMI z-score trajectory group based on income trajectory and early-life risk factors. RESULTS: Children who remain low-income throughout childhood were more likely to maintain overweight (AOR = 2.55, 95% CI = 1.03, 5.42) and children who moved into low-income during childhood were more likely to be obese (AOR = 2.36, 95% CI = 1.12, 5.93) compared to children who were never low-income. Maternal overweight/obesity was significantly associated with a child become obese (AOR = 8.31, 95% CI = 3.80, 18.20), become overweight (AOR = 2.37, 95% CI = 1.34, 4.22), and stay overweight (AOR = 1.79, 95% CI = 1.02, 3.14). Excessive gestational weight gain was associated with increased likelihood of a child becoming overweight trajectory (AOR = 2.01, 95% CI = 1.01, 4.00). CONCLUSIONS: Our findings further supports the growing evidence that there are several preventable early-life risk factors that could be targeted for intervention. This study provides new evidence that remaining in low-income and moving into low-income increases risk for adolescent overweight and obesity.

The healthy start partnership: an approach to obesity prevention in young families.

This article investigates the impact of community-based interventions developed by the Healthy Start Partnership (HSP) to promote healthy body weights in families. Intercept surveys were conducted to monitor community exposure. A nonconcurrent, no treatment control design was used to assess population-level weight outcomes. Control (n = 219) and intervention (n = 276) cohorts of pregnant women were recruited and followed until 6 months postpartum. Data were collected through 2 self-administered questionnaires and medical record audits. Results indicate community residents were exposed to interventions. However, little evidence of positive effects of interventions on weight outcomes was found for mothers or infants.

How an online intervention to prevent excessive gestational weight gain is used and by whom: a randomized controlled process evaluation.

BACKGROUND: Online interventions have emerged as a popular strategy to promote healthy behaviors. Currently, there is little agreement about how to capture online intervention engagement. It is also uncertain who engages with weight-related online interventions and how engagement differs by demographic and weight characteristics. OBJECTIVE: The objectives of this study were to (1) characterize how pregnant women engaged with features of an online intervention to prevent excessive gestational weight gain, (2) identify demographic and weight status subgroups of women within the sample, and (3) examine differences in use of intervention features across the demographic and weight status subgroups. METHODS: A sample of racially and socioeconomically diverse pregnant women from a northeastern US city was assigned to the intervention group in a randomized controlled trial to prevent excessive gestational weight gain (n=1014). The intervention website included these features: weight-gain tracker, health-related articles, blogs, physical activity and diet goal-setting tools, and local resources. Engagement variables were created to capture the amount, consistency, and patterns of feature use across pregnancy using latent class analysis. Demographic/weight status subgroups were also created using latent class analysis. Differences in engagement across the demographic/weight status subgroups were examined using chi-square analysis. RESULTS: Six engagement patterns emerged: "super-users" (13.02%, 132/1014), "medium-users" (14.00%, 142/1014), "consistent weight-tracker users" (14.99%, 152/1014); "almost consistent weight-tracker users" (21.99%, 223/1014), "inconsistent weight-tracker users" (15.98%, 162/1014), and "non-users" (20.02%, 203/1014). Four demographic/weight status subgroups emerged: three minority and one white. There were different engagement patterns by demographic/weight status subgroups. Super-users were more likely to be in the white subgroup, while non-users were more likely to be in the minority subgroups. However, around a third of women in minority subgroups were consistently or almost consistently engaging with the weight-tracker (black, young women, 32.2%, 67/208; black, heavier women, 37.9%, 50/132; Hispanic women, 27.4%, 32/117). CONCLUSIONS: While white and higher income women had higher engagement in general, depending on the measure, there was still considerable engagement by the minority and low-income women. TRIAL REGISTRATION: Clinicaltrials.gov: NCT01331564; http://clinicaltrials.gov/ct2/show/NCT01331564 (Archived by WebCite at http://www.webcitation.org/6Rw4yKxI5).

Recruiting experiences of NIH-funded principal investigators for community-based health behavior interventions during the COVID-19 pandemic.

Successful recruitment into randomized trials and interventions is essential to advance scientific knowledge to improve health. This rapid assessment study explored how the COVID-19 pandemic affected participant recruitment overall, identified how it exacerbated existing challenges to recruit hard-to-reach populations, and described how NIH-funded Principal Investigators (PIs) responded to COVID-era recruitment challenges. A cross-sectional survey of NIH-funded PIs conducting interventions and trials related to health behaviors was conducted in 2022. The survey was completed by 52 PIs, most of whom were highly experienced in this type of research. Eighteen PIs reported it was very difficult to recruit participants now (39.1%) compared to before COVID-19 when only one did (2.2%). PIs reported changing recruitment and data collection methods (29.4%), increasing staff dedicated to recruitment (29.4%), and increasing participant compensation (23.5%). Recruitment methods shifted from in-person activities to social media and other electronic communications. Barriers to recruitment included reluctance to participate in research, COVID-19 protocols and precautions, overwhelmed community partners, staff burnout and turnover, and limited access to technology for some populations that were already hard to reach. Facilitators to recruitment consisted of increased access and ability to use remote technologies, use of social media, strong community ties, and wanting to be part of something positive. PIs perceived recruitment as much more difficult after the onset of COVID-19, though research teams were able to pivot to more online and remote options. These tools may have a lasting impact in modernizing recruitment, data collection, and intervention techniques in future trials.

Improvements in dietary intake, behaviors, and psychosocial measures in a community-randomized cardiovascular disease risk reduction intervention: Strong Hearts, Healthy Communities 2.0.

BACKGROUND: Cardiovascular disease (CVD) prevalence has disproportionately risen among midlife and older female adults of rural communities, partly due to poor diet and diet-related behaviors and psychosocial factors that impede healthy eating. OBJECTIVES: This study aimed to evaluate the impact of Strong Hearts Healthy Communities 2.0 (SHHC-2.0) on secondary diet-related outcomes between intervention and control participants that align with the dietary goal and behavioral aims of the SHHC-2.0, a CVD risk reduction program. METHODS: A community-randomized controlled trial was conducted in rural, medically underserved communities. Participants were female adults ≥40 y who were classified as obese or both overweight and sedentary. Communities were randomized to SHHC-2.0 intervention (n = 5 communities; n = 87 participants) or control (with delayed intervention) (n = 6 communities; n = 95 participants). SHHC-2.0 consisted of 24 wk of twice-weekly experiential nutrition education and group-based physical activity classes led by local health educators. Changes between baseline and end point (24 wk) in dietary intake (24-h recalls), dietary behaviors (e.g., Rapid Eating Assessment for Participants-Short Version [REAP-S] scores) and diet-related psychosocial measures (e.g., Three Factor Eating questionnaire) between groups were analyzed using linear mixed-effects multilevel models. RESULTS: At 24 wk, participants from the 5 intervention communities, compared with controls, consumed fewer calories (mean difference [MD]= -211 kcal, 95% CI: -412, -110, P = 0.039), improved overall dietary patterns measured by REAP-S scores (MD: 3.9; 95% CI: 2.26, 5.6; P < 0.001), and improved psychosocial measures (healthy eating attitudes, uncontrolled eating, cognitive restraint, and emotional eating). CONCLUSIONS: SHHC-2.0 has strong potential to improve diet patterns and diet-related psychosocial wellbeing consistent with improved cardiovascular health. This trial was registered at www. CLINICALTRIALS: gov as NCT03059472.

Improvements and Maintenance of Clinical and Functional Measures Among Rural Women: Strong Hearts, Healthy Communities-2. 0 Cluster Randomized Trial.

BACKGROUND: Cardiovascular disease is the leading cause of death in the United States; however, women and rural residents face notable health disparities compared with male and urban counterparts. Community-engaged programs hold promise to help address disparities through health behavior change and maintenance, the latter of which is critical to achieving clinical improvements and public health impact. METHODS: A cluster-randomized controlled trial of Strong Hearts, Healthy Communities-2.0 conducted in medically underserved rural communities examined health outcomes and maintenance among women aged ≥40 years, who had a body mass index >30 or body mass index 25 to 30 and also sedentary. The multilevel intervention provided 24 weeks of twice-weekly classes with strength training, aerobic exercise, and skill-based nutrition education (individual and social levels), and civic engagement components related to healthy food and physical activity environments (community, environment, and policy levels). The primary outcome was change in weight; additional clinical and functional fitness measures were secondary outcomes. Mixed linear models were used to compare between-group changes at intervention end (24 weeks); subgroup analyses among women aged ≥60 years were also conducted. Following a 24-week no-contact period, data were collected among intervention participants only to evaluate maintenance. RESULTS: Five communities were randomized to the intervention and 6 to the control (87 and 95 women, respectively). Significant improvements were observed for intervention versus controls in body weight (mean difference: -3.15 kg [95% CI, -4.98 to -1.32]; P=0.008) and several secondary clinical (eg, waist circumference: -3.02 cm [-5.31 to -0.73], P=0.010; systolic blood pressure: -6.64 mmHg [-12.67 to -0.62], P=0.031; percent body fat: -2.32% [-3.40 to -1.24]; P<0.001) and functional fitness outcomes; results were similar for women aged ≥60 years. The within-group analysis strongly suggests maintenance or further improvement in outcomes at 48 weeks. CONCLUSIONS: This cardiovascular disease prevention intervention demonstrated significant, clinically meaningful improvements and maintenance among rural, at-risk older women. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT03059472.

An Assessment of E-health Resources and Readiness in the Republic of the Marshall Islands: Implications for Non-communicable Disease Intervention Development.

The prevalence of non-communicable diseases (NCDs) is rapidly increasing in low and middle income countries (LMIC). The Republic of the Marshall Islands is an island country in the Pacific located near the equator and has the third highest prevalence of diabetes in the world, high rates of complications, and early mortality with limited or no resources for tertiary care of these complications. Given the limited resources of the country, there is a need for strategies which emphasize NCD prevention. E-health interventions are becoming more popular in LMICs. A rapid qualitative assessment, involving focus groups, site visits, and key informant interviews, was performed to ascertain community perceptions about the causes of NCDs including diabetes and potential solutions. An assessment of the technology infrastructure was conducted to assess capacity for potential e-health interventions. Thirty local participants were interviewed. Participants identified diabetes as the highest priority NCD with dietary shifts toward imported, processed foods and decrease in physical activity as the major causes. Text messaging and Facebook were found to be widely utilized for personal and public communication. Given the low-tech, low-cost communication mechanisms and widespread use of Facebook, a social media intervention could help support local NCD prevention communications initiatives.

A Rapid Assessment Procedure to Develop A Non-Communicable Disease Prevention Pilot Health Communications Project Using E- and M-Health Communications in Pohnpei State, Federated States of Micronesia.

Pohnpei State of the Federated States of Micronesia, located in the Northwestern Pacific Ocean, has limited health research infrastructure; chronic non-communicable diseases (NCD) such as diabetes, heart disease, and cancer are a concern. Over 73% of Pohnpei's population is overweight or obese. E- and m- (mobile) health interventions are becoming more popular in low and middle income countries. A Rapid Assessment Procedure was conducted for formative research to identify the enabling factors and challenges related to health communication and technology in Pohnpei to address NCD prevention. Thirty-seven local stakeholders were identified through snowball sampling for interviews and group discussions about e-health readiness and NCD priorities, held in local settings. Interviews were audio recorded, with field notes taken. Data were iteratively coded using DEDOOSE. Diabetes emerged as the most serious NCD issue because both the health system and local community are having to deal with the complications and consequences. Stakeholders recommended that prevention should be integrated with diabetes treatment. Local health workers' teaching evidence-based diabetes prevention and other health promotion education were through handheld (mobile devices) was identified. The ability to readily access evidence-based health education materials and modules is compatible with community approaches providing tailored, individual and small group education and social support. This approach may serve as a key component of local NCD prevention communications initiatives integral to prevent diabetes and its complications as remote Small Island Nations face burgeoning NCD epidemics and dramatic shifts in diet and activity.

A globally networked hybrid approach to public health capacity training for maternal health professionals in low and middle income countries.

BACKGROUND: MundoComm is a current NIH-funded project for sustainable public health capacity building in community engagement and technological advances aimed at improving maternal health issues. Two to four teams are selected annually, each consisting of three healthcare professionals and one technical person from specific low and middle income countries (LMICs) including Costa Rica, Dominican Republic, Honduras, and other LMICs. MundoComm is a course with three parts: in-person workshops, online modules, and mentored community engagement development. Two annual 1-week on-site "short courses" convened in Costa Rica are supplemented with six monthly online training modules using the Moodle® online platform for e-learning, and mentored project development. The year-long course comprises over 20 topics divided into the six modules - each module further segmented into 4 week-long assignments, with readings and assigned tasks covering different aspects of community-engaged interventions. The content is peer reviewed by experts in the respective fields from University of Rochester, UCIMED in Costa Rica, and faculty from Costa Rica and the Dominican Republic who maintain regular contact with the trainees to mentor learning and project progress. The purpose of this paper is to report the first year results of the MundoComm project. METHODS: Both quantitative and qualitative feedback (using online data capturing forms) assess baseline and post-training knowledge and skills in public health project strategies. RESULTS: The course currently has one team each in Costa Rica, the Dominican Republic, and Honduras for a total of 12 trainees. The course and modules include best practices in information and communication technologies (ICTs), ethical reviews, community engagement, evidence-based community interventions, and e-Health strategies. To maximize successful and culturally appropriate training approaches, the multi-media didactic presentations, flexible distance learning strategies, and the use of tablets for offline data collection are offered to trainees, and then feedback from trainees and other lessons learned aid in the refinement of subsequent curricular improvements. CONCLUSIONS: Through remark and discussion, the authors report on 1) the feasibility of using a globally networked learning environment (GNLE) plus workshop approach to public health capacity training and 2) the capacity of LMIC teams to complete the MundoComm trainings and produce ICT-based interventions to address a maternal health issue in their respective regions.

Sociocultural variation in attitudes toward use of genetic information and participation in genetic research by race in the United States: implications for precision medicine.

BACKGROUND: "Precision medicine" (PM) requires researchers to identify actionable genetic risks and for clinicians to interpret genetic testing results to patients. Whether PM will equally benefit all populations or exacerbate existing disparities is uncertain. METHODS: We ascertained attitudes toward genetic testing and genetic research by race in the United States using the online Amazon mTurk US workforce (n = 403 White; n = 56 African American (AA)). Generalized linear models were used to test differences in beliefs and preferences by race, adjusting for sociodemographics and prior genetic experience. RESULTS: AA were less likely than White to believe that genetic tests should be promoted or made available. Further, AA were less likely to want genetic testing results or to participate in genetic research. CONCLUSIONS: Important dimensions that underlay PM are not universally accepted by all populations. Without clear attention to concerns, AA communities may not equally benefit from the rapidly-emerging trend in PM-centered research and clinical practice.

Participation in Genetic Research: Amazon's Mechanical Turk Workforce in the United States and India.

BACKGROUND: Genomic research has innumerable benefits. However, if people are unwilling to participate in genomic research, application of knowledge will be limited. This study examined the likelihood of respondents from a high- and a low- to middle-income country to participate in genetic research. METHODS: Cross-sectional data were collected using Amazon's Mechanical Turk workforce to ascertain attitudes toward participation in genetic research. Registered country of residence was either the US (n = 505) or India (n = 505). Multiple logistic regression models were used to assess adjusted effects of demographic characteristics, health, social status, beliefs and concerns on 4 genetic research outcomes. RESULTS: Participants from India who believed chance and powerful others influenced their health were more likely to participate in genetic research (OR = 1.0, 95% CI 1.0-1.1) and to agree with sharing of DNA data (OR = 1.1, 95% CI 1.1-1.2). US participants were more likely to be concerned about protection of family history, which they indicated would affect participation (OR = 3.6, 95% CI 2.1-6.0). Commonalities for the likelihood of participation were beliefs that genetic research could help find new treatments (India OR = 2.3, 95% CI 1.0-5.4; US OR = 4.7, 95% CI 2.0-11.2) and descendants would benefit (India OR = 2.6, 95% CI 1.2-5.5; US OR = 3.0, 95% CI 1.3-7.1). CONCLUSIONS: Concurrence of beliefs on benefits and concerns about genetic research suggest they may be common across countries. Consideration of commonalities may be important to increase global participation in genetic research.

Development and Implementation of Culturally Tailored Offline Mobile Health Surveys.

BACKGROUND: In low and middle income countries (LMICs), and other areas with low resources and unreliable access to the Internet, understanding the emerging best practices for the implementation of new mobile health (mHealth) technologies is needed for efficient and secure data management and for informing public health researchers. Innovations in mHealth technology can improve on previous methods, and dissemination of project development details and lessons learned during implementation are needed to provide lessons learned to stakeholders in both the United States and LMIC settings. OBJECTIVE: The aims of this paper are to share implementation strategies and lessons learned from the development and implementation stages of two survey research projects using offline mobile technology, and to inform and prepare public health researchers and practitioners to implement new mobile technologies in survey research projects in LMICs. METHODS: In 2015, two survey research projects were developed and piloted in Puerto Rico and pre-tested in Costa Rica to collect face-to-face data, get formative evaluation feedback, and to test the feasibility of an offline mobile data collection process. Fieldwork in each setting involved survey development, back translation with cultural tailoring, ethical review and approvals, data collector training, and piloting survey implementation on mobile tablets. RESULTS: Critical processes and workflows for survey research projects in low resource settings were identified and implemented. This included developing a secure mobile data platform tailored to each survey, establishing user accessibility, and training and eliciting feedback from data collectors and on-site LMIC project partners. CONCLUSIONS: Formative and process evaluation strategies are necessary and useful for the development and implementation of survey research projects using emerging mHealth technologies in LMICs and other low resource settings. Lessons learned include: (1) plan institutional review board (IRB) approvals in multiple countries carefully to allow for development, implementation, and feedback, (2) in addition to testing the content of survey instruments, allow time and consideration for testing the use of novel mHealth technology (hardware and software), (3) incorporate training for and feedback from project staff, LMIC partner staff, and research participants, and (4) change methods accordingly, including content, as mHealth technology usage influences and is influenced by the content and structure of the survey instrument. Lessons learned from early phases of LMIC research projects using emerging mHealth technologies are critical for informing subsequent research methods and study designs.

Rural middle school nutrition and physical activity environments and the change in body mass index during adolescence.

BACKGROUND: For rural adolescents, schools are among the few places where environmental interventions can promote health outside of the home. The goal of this study was to assess the nutrition and physical activity (N&PA) environments of schools attended by a birth cohort and examine the association with change in body mass index (BMI) from sixth to eighth grade. METHODS: Using data from adolescents of a rural New York State birth cohort (N = 281), we used linear mixed models to identify N&PA environments associated with change in BMI. We also examined family income trajectory as a potential modifier to consider how the association between school environment and change in BMI might differ depending on income. RESULTS: We found considerable heterogeneity in environments within and between schools. Among students with low-income trajectories, reductions in BMI z-scores were associated with school environments that promote better physical education (PE) and general (non-PE, non-sport) physical activity. Schools with better sports environments were associated with reductions in BMI for some students, but not lower-income students. CONCLUSIONS: School environments may have differing effects on students depending on their socioeconomic status. Strategies are needed to identify and address barriers that impair low-income students' access to health-promoting school resources.

Breastfeeding duration and weight gain trajectory in infancy.

BACKGROUND AND OBJECTIVES: Short breastfeeding duration may exacerbate accelerated early growth, which is linked to higher obesity risk in later life. This study tested the hypothesis that infants at higher risk for obesity were more likely to be members of a rising weight-for-length (WFL) z score trajectory if breastfed for shorter durations. METHODS: This prospective, observational study recruited women from an obstetric patient population in rural central New York. Medical records of children born to women in the cohort were audited for weight and length measurements (n = 595). We identified weight gain trajectories for infants' WFL z scores from 0 to 24 months by using maximum likelihood latent class models. Individual risk factors associated with weight gain trajectories (P ≤ .05) were included in an obesity risk index. Logistic regression analysis was performed to investigate whether the association between breastfeeding duration (<2 months, 2-4 months, >4 months) and weight gain trajectory varied across obesity risk groups. RESULTS: Rising and stable weight gain trajectories emerged. The obesity risk index included maternal BMI, education, and smoking during pregnancy. High-risk infants breastfed for <2 months were more likely to belong to a rising rather than stable weight gain trajectory (odds ratio, 2.55; 95% confidence interval, 1.14-5.72; P = .02). CONCLUSIONS: Infants at the highest risk for rising weight patterns appear to benefit the most from longer breastfeeding duration. Targeting mothers of high-risk infants for breastfeeding promotion and support may be protective against overweight and obesity during a critical window of development.

Developing the Evidence Base to Inform Best Practice: A Scoping Study of Breast and Cervical Cancer Reviews in Low- and Middle-Income Countries.

BACKGROUND: Breast and cervical cancers have emerged as major global health challenges and disproportionately lead to excess morbidity and mortality in low- and middle-income countries (LMICs) when compared to high-income countries. The objective of this paper was to highlight key findings, recommendations, and gaps in research and practice identified through a scoping study of recent reviews in breast and cervical cancer in LMICs. METHODS: We conducted a scoping study based on the six-stage framework of Arskey and O'Malley. We searched PubMed, Cochrane Reviews, and CINAHL with the following inclusion criteria: 1) published between 2005-February 2015, 2) focused on breast or cervical cancer 3) focused on LMIC, 4) review article, and 5) published in English. RESULTS: Through our systematic search, 63 out of the 94 identified cervical cancer reviews met our selection criteria and 36 of the 54 in breast cancer. Cervical cancer reviews were more likely to focus upon prevention and screening, while breast cancer reviews were more likely to focus upon treatment and survivorship. Few of the breast cancer reviews referenced research and data from LMICs themselves; cervical cancer reviews were more likely to do so. Most reviews did not include elements of the PRISMA checklist. CONCLUSION: Overall, a limited evidence base supports breast and cervical cancer control in LMICs. Further breast and cervical cancer prevention and control studies are necessary in LMICs.

Associations Between Mothers' and Their Children's Weights at 4 Years of Age.

OBJECTIVES: To examine the importance of maternal weight characteristics as predictors of overweight (BMI ≥85th percentile and <95th percentile) and obesity (BMI ≥ 95th percentile) in offspring at age 4 years. METHODS: Chi-square and logistic regression analyses were conducted on a sample of 321 mother/child pairs from an earlier observational cohort study on mothers' postpartum weight retention. RESULTS: Maternal early pregnancy BMI and infant birth weight were each positively and significantly (p <0.05) associated with increased risk of obesity in offspring at age 4 years. A significant interaction was found between these two variables in predicting children's risk of obesity. It was driven by the high proportion of obese children among obese women who had infants weighing < 3 kg at birth. Net gestational weight gain was not associated with obesity risk in children, but was positively associated with infant birth weight among normal weight and overweight women. CONCLUSIONS: Reducing maternal BMI in the preconception period among overweight and obese women and preventing excessive weight gain in pregnancy for all women appear to be appropriate strategies to address the childhood obesity epidemic.