Estrellita Lo Berry

Risk Factors for Major Antenatal Depression among Low-Income African American Women

OBJECTIVES Data on risk factors for major antenatal depression among African American women are scant. In this study, we seek to determine the prevalence and risk factors for major antenatal depression among low-income African American women receiving prenatal services through the Central Hillsborough Healthy Start (CHHS). METHODS Women were screened using the Edinburgh Postnatal Depression Scale (EPDS) with a cutoff of > or =13 as positive for risk of major antenatal depression. In total, 546 African American women were included in the analysis. We used logistic regression to identify risk factors for major antenatal depression. RESULTS The prevalence of depressive symptomatology consistent with major antenatal depression was 25%. Maternal age was identified as the main risk factor for major antenatal depression. The association between maternal age and risk for major antenatal depression was biphasic, with a linear trend component lasting until age 30, at which point the slope changed markedly tracing a more pronounced likelihood for major depression with advancing age. Women aged > or =30 were about 5 times as likely to suffer from symptoms of major antenatal depression as teen mothers (OR = 4.62, 95% CI 2.23-9.95). CONCLUSIONS The risk for major antenatal depression increases about 5-fold among low-income African American women from age 30 as compared to teen mothers. The results are consistent with the weathering effect resulting from years of cumulative stress burden due to socioeconomic marginalization and discrimination. Older African American mothers may benefit from routine antenatal depression screening for early diagnosis and intervention.

Effectiveness of a Federal Healthy Start Program in Reducing Primary and Repeat Teen Pregnancies: Our Experience over the Decade

STUDY OBJECTIVE To evaluate the effectiveness of a Federal Healthy Start program in reducing primary and repeat teen pregnancies in a disadvantaged community. DESIGN An ecological study that compares trends in teen pregnancy in the catchment area in which the community-based intervention was administered with two ecologic controls: the county (Hillsborough) and the state (Florida). SETTING Our catchment area is East Tampa, a socio-economically disadvantaged community in Hillsborough County, Florida. PARTICIPANTS Preconception care targeted teenagers between the ages of 10 and 19 years. Interconception care involved young mothers under the age of 20 with a previous birth. The population was comprised primarily of African Americans. INTERVENTION Preconception care services for primary teen pregnancy reduction offered sex education, family planning, drug and violence prevention education, and communication and negotiation skills acquisition. Interconception care service offered young women health education through monthly home visitation or monthly peer support group meetings addressing a range of topics using the life course perspective as framework. MAIN OUTCOME MEASURE Reduction in primary teen pregnancy and repeat teen pregnancy among adolescents. RESULTS The decline in primary teen pregnancy in the catchment area was 60% and 80% greater than the reduction experienced at the county level and at the state level respectively over the period of the study. However, efforts to prevent repeat pregnancy were not successful. CONCLUSION The Federal Healthy Start Preconception Care program, in collaboration with community partners, contributed to the prevention of first-time teen pregnancy in a community faced with significant social and economic challenges.

Community-Academic Partnerships to Reduce Black-White Disparities in Infant Mortality in Florida

Problem: In Florida, data reveal a widening black-white disparity in infant mortality to the disadvantage of black families. Eight Florida counties have a significantly pronounced black-white infant mortality gap: Broward, Duval, Gadsden, Hillsborough, Miami-Dade, Orange, Palm Beach, and Putnam.Purpose: The black Infant Health Community Collaborative (BIHCC) was established to address the rising racial/ethnic disparities in infant mortality. The program used a community-based participatory research (CBPR) approach to enable communities to develop sustainable initiatives to improve community health and reduce infant mortality.Key Points: Grounded in CBPR principles, a community-academic-state partnership was created to address the upsurge in black-white disparity in infant mortality. Community teams from each participating county underwent a 2-year period of capacity building. The culmination of this process was community-driven action plans to alleviate infant health disparities.Conclusion: The BIHCC provides a replicable model for the development of community-academic-state partnerships to enhance capacity for improving infant health outcomes.

Community-based fortified dietary intervention improved health outcomes among low-income African-American women.

Poor dietary exposure disproportionately affects African-Americans and contributes to the persistence of disparities in health outcomes. In this study, we hypothesized that fortified dietary intervention (FDI) will improve measured dietary and related health outcomes and will be acceptable among low-income African-American women living in Tampa, FL. These objectives were tested using a prospective experimental study using pretest and posttest design with a control group, using a community-based participatory research approach. The intervention (FDI) was designed by the community through structural modification of a preexisting, diet-based program by the addition of a physical and mental health component. Paired sample t tests were used to examine preintervention and postintervention changes in study outcomes. A total of 49 women participated in the study, 26 in the FDI group and 23 controls. Two weeks postintervention, there were significant improvements in waist circumference and health-related quality of life related to physical health (P< .0001), physical fitness subscores (P= .002), and nutritional subscores (P= .001) in the FDI group. Among overweight/obese women, improvement in health-related quality of life related to physical health, a significant decrease in depressive score, and a reduction in waist circumference were noted. In the control group, a decrease in waist circumference was observed. Implementation of the FDI through a community-based participatory research approach is feasible and effective among low-income African-American women in general and overweight/obese women in particular. Social reengineering of a nutritional intervention coupled with community-based approach will enhance health outcomes of low-income women.

Effectiveness of a federal Healthy Start Program on HIV/AIDS risk reduction among women in Hillsborough County, Florida.

Objectives To examine the impact of the Central Hillsborough Healthy Start Project (CHHS) on human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) diagnosis rates in women in Hillsborough County, Florida. Methods Project records were linked to hospital discharge data and vital statistics (Florida, 1998–2007; N = 1,696,221). The &khgr;2 test was used to compare rates for HIV/AIDS and pregnancy-related complications for mothers within the CHHS service area with mothers in Hillsborough County and the rest of Florida. Results During a 10-year period, HIV/AIDS diagnosis rates among women in the CHHS service area declined by 56.3% (P = 0.01). The observed decline was most evident among black women. HIV/AIDS diagnosis rates in the rest of Hillsborough County and Florida remained unchanged (P = 0.48). Conclusions Lessons learned from the CHHS Project can be used to develop effective and comprehensive models for addressing the HIV epidemic.

Social Support and Health-Related Quality of Life Among Low-Income Women: Findings from Community-Based Participatory Research

Objectives This study examined the association between social support and health-related quality of life (HRQoL) among low-income women in the southeastern region of the United States. Methods Analysis was performed on data from a community needs assessment survey that was designed to explore social determinants of health and QoL indicators using a community-based participatory research approach. The study sample comprised 132 women aged 18 years old and older. Bivariate analysis and logistic regressions with bootstrapping were performed. Results Social support was predictive of physical and mental HRQoL in a contrasting fashion, suggesting a complex relation. Other social determinants of global HRQoL independent of social support status include marital and employment status, maternal age, and income. Our results also demonstrate complex interaction patterns across race, social support, and HRQoL. Conclusions The linkage between social support and HRQoL may not be a simple relation, as previously assumed. Rather, it is characterized by multifaceted interactions through which social determinants of health modulate the impact of social support on HRQoL. These are new findings.

Usability of Low-Cost Android Data Collection System for Community-Based Participatory Research

Background: Android tablet computers can be valuable tools for data collection, but their usability has not been evaluated in community-based participatory research (CBPR).Objectives: This article examines the usability of a low-cost bilingual touchscreen computerized survey system using Android tablets, piloted with a sample of 201 community residents in Tampa, Florida, from November 2013 to March 2014.Methods: Needs assessment questions were designed with the droidSURVEY software, and deployed using Android tablet computers. In addition, participants were asked questions about system usability.Results: The mean system usability was 77.57 ± 17.66 (range, 0–100). The mean completion time for taking the 63 survey questions in the needs assessment was 23.11 ± 9.62 minutes. The survey completion rate was optimal (100%), with only 6.34% missingness per variable. We found no sociodemographic differences in usability scores.Conclusions: Our findings indicate that Android tablets could serve as useful tools in CBPR studies.

Community priority index: utility, applicability and validation for priority setting in community-based participatory research.

Background Providing practitioners with an intuitive measure for priority setting that can be combined with diverse data collection methods is a necessary step to foster accountability of the decision-making process in community settings. Yet, there is a lack of easy-to-use, but methodologically robust measures, that can be feasibly implemented for reliable decision-making in community settings. To address this important gap in community based participatory research (CBPR), the purpose of this study was to demonstrate the utility, applicability, and validation of a community priority index in a community-based participatory research setting. Design and Methods Mixed-method study that combined focus groups findings, nominal group technique with six key informants, and the generation of a Community Priority Index (CPI) that integrated community importance, changeability, and target populations. Bootstrapping and simulation were performed for validation. Results For pregnant mothers, the top three highly important and highly changeable priorities were: stress (CPI=0.85; 95%CI: 0.70, 1.00), lack of affection (CPI=0.87; 95%CI: 0.69, 1.00), and nutritional issues (CPI=0.78; 95%CI: 0.48, 1.00). For non-pregnant women, top priorities were: low health literacy (CPI=0.87; 95%CI: 0.69, 1.00), low educational attainment (CPI=0.78; 95%CI: 0.48, 1.00), and lack of self-esteem (CPI=0.72; 95%CI: 0.44, 1.00). For children and adolescents, the top three priorities were: obesity (CPI=0.88; 95%CI: 0.69, 1.00), low self-esteem (CPI=0.81; 95%CI: 0.69, 0.94), and negative attitudes toward education (CPI=0.75; 95%CI: 0.50, 0.94). Conclusions This study demonstrates the applicability of the CPI as a simple and intuitive measure for priority setting in CBPR. Significance for public health Community-based participatory research (CBPR) has been credited to be a promising approach for the reduction of health disparities and as an effective way to create sustainable community outcomes. Priority setting is an essential decision-making step in community-based participatory research. Issue prioritization must be driven not just by the importance of the issue, but also what realistically can be changed with available funds. However, there is little guidance on how to approach priority setting with objective and subjective measures while implementing CBPR. This study depicts the invention of a Community Priority Index (CPI), which can be used to prioritize community health issues by combining subjective and objective markers into a single measure. The CPI shown in this study represents a viable systematic approach to improve the objectivity and reliability of community-based decision-making.