Factors associated with continued participation in a matched monetary incentive programme at local farmers' markets in low-income neighbourhoods in San Diego, California.

OBJECTIVE: The Farmers' Market Fresh Fund Incentive Program is a policy, systems and environmental intervention to improve access to fresh produce for participants on governmental assistance in the USA. The current study examined factors associated with ongoing participation in this matched monetary incentive programme. DESIGN: Relationship of baseline factors with number of Fresh Fund visits was assessed using Poisson regression. Mixed-effects modelling was used to explore changes in consumption of fruits and vegetables and diet quality. SETTING: San Diego, California. SUBJECTS: Recipients of Supplemental Nutrition Assistance Program (SNAP), Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and Supplemental Security Income (SSI) who attended participating farmers' markets from 2010 to 2012 (n 7298). RESULTS: Among those with participation for ≤6 months, factors associated with increased visits included reporting more daily servings of fruits and vegetables (F&V) at baseline, being Vietnamese or Asian/Pacific Islander, and eligibility because of SNAP/CalFresh or SSI (v. WIC). Among those who came for 6-12 months, being Asian/Pacific Islander, eligibility because of SNAP/CalFresh and enrolling in the autumn, winter or spring were associated with a greater number of Fresh Fund visits. Among those who came for >12 months, being male and eligibility because of SSI were associated with a greater number of visits. Overall, the odds of increasing number of servings of F&V consumed increased by 2 % per month, and the odds of improved perception of diet quality increased by 10 % per month. CONCLUSIONS: Sustaining and increasing Fresh Fund-type programme operations should be a top priority for future policy decisions concerning farmers' market use in low-income neighbourhoods.

Community BMI Surveillance Using an Existing Immunization Registry in San Diego, California.

This study examines the demographic representativeness of the County of San Diego Body Mass Index (BMI) Surveillance System to determine if the BMI estimates being obtained from this convenience sample of individuals who visited their healthcare provider for outpatient services can be generalized to the general population of San Diego. Height and weight were transmitted from electronic health records systems to the San Diego Immunization Registry (SDIR). Age, gender, and race/ethnicity of this sample are compared to general population estimates by sub-regional area (SRA) (n = 41) to account for regional demographic differences. A < 10% difference (calculated as the ratio of the differences between the frequencies of a sub-group in this sample and general population estimates obtained from the U.S. Census Bureau) was used to determine representativeness. In 2011, the sample consisted of 352,924 residents aged 2-100 years. The younger age groups (2-11, 12-17 years) and the oldest age group (≥65 years) were representative in 90, 75, and 85% of SRAs, respectively. Furthermore, at least one of the five racial/ethnic groups was represented in 71% of SRAs. This BMI Surveillance System was found to demographically represent some SRAs well, suggesting that this registry-based surveillance system may be useful in estimating and monitoring neighborhood-level BMI data.

Ethnic-specific associations of sleep duration and daytime napping with prevalent type 2 diabetes in postmenopausal women.

OBJECTIVE: The objective of this study was to evaluate ethnic differences in the associations of nighttime sleep and daytime napping durations with prevalent type 2 diabetes. METHODS: Samples of White (n = 908), Filipina (n = 330), and Black (n = 371) community-dwelling, postmenopausal women aged 50-86 years were evaluated with cross-sectional data obtained during 1992-1999 including self-reported duration of nighttime sleep and daytime napping, behaviors, medical history, and medication use. The prevalence of type 2 diabetes was evaluated with a 2-h 75-g oral glucose tolerance test. RESULTS: Overall, 10.9% of White, 37.8% of Filipina, and 17.8% of Black women had type 2 diabetes. Average sleep durations were 7.3, 6.3, and 6.6 h and napping durations were 16.8, 31.7, and 25.9 min for White, Filipina, and Black women, respectively. Sleep duration showed a significant (p < 0.01) nonlinear association with type 2 diabetes in Filipina women, with increased odds of diabetes at both low and high sleep durations independent of age, body mass index (BMI), triglyceride to high-density lipoprotein (HDL) ratio, hypertension, and daytime napping duration. Daytime napping duration was associated with type 2 diabetes only among White women; those napping ≥ 30 min/day had 74% (95% confidence interval (CI) = 10%, 175%) higher odds of diabetes compared to non-nappers independent of covariates including nighttime sleep duration. CONCLUSIONS: Results suggest ethnic-specific associations of nighttime sleep and daytime napping durations with type 2 diabetes.

The association between abdominal muscle and type II diabetes across weight categories in diverse post-menopausal women.

CONTEXT: Despite the key role of muscle in glucose regulation, little is known about the association between muscle area and prevalence of metabolic disorders, or the role low muscle may play in normal weight metabolic obesity. OBJECTIVE: The objective was to assess the independent associations between both abdominal muscle and fat depositions (measured by computed tomography) and the prevalence of type II diabetes, and to explore the modifying role of weight category. DESIGN: We conducted a cross-sectional analysis of the 2001-2002 visit for the Rancho Bernardo Study, Filipino Women's Health Study, and Health Assessment Study of African American Women. SETTING AND PARTICIPANTS: Participants were 392 community-dwelling older women (mean age = 64) free of clinical cardiovascular disease. MAIN OUTCOME MEASURE: The main outcome was prevalence of type II diabetes, defined as use of anti-diabetes medication, fasting plasma glucose ≥ 126 mg/dL, and/or OGTT ≥ 200 mg/dL. RESULTS: Adjusting for demographics, hypertension, estrogen use, lipids, smoking, physical activity, visceral fat area, and height, a greater muscle-to-total abdominal area ratio (MAR) was associated with lower odds of diabetes [OR = 0.63 per standard deviation, 95% CI (0.43-0.92), p = .02]. Higher visceral fat was associated with greater odds of diabetes in fully adjusted models including total muscle area [OR = 1.48, 95% CI (1.09, 2.01), p = .01]. Associations between MAR and diabetes were stronger for normal weight (BMI 18.5-24.9; OR = 0.32) than overweight/obese women (BMI ≥ 25, OR = 0.71, p-for-interaction = 0.046). Associations with visceral fat did not differ by BMI (p-for-interaction = 0.71). CONCLUSIONS: In older women, abdominal muscle area is inversely associated with type II diabetes independent of visceral adiposity, particularly for normal weight women.

Monetary matched incentives to encourage the purchase of fresh fruits and vegetables at farmers markets in underserved communities.

INTRODUCTION: Farmers market programs may increase access to more healthful foods and reduce the high prevalence of obesity in low-income communities. The objective of this study was to examine outcomes of the Fresh Fund farmers market program serving low-income neighborhoods in San Diego, California. METHODS: Through its Farmers Market Fresh Fund Incentive Program, the County of San Diego Health and Human Services Agency offered monetary incentives to government nutrition assistance recipients to purchase fresh produce at 5 farmers markets. Participants enrolled at participating markets from June 1, 2010, through December 31, 2011; they completed baseline and follow-up surveys of daily consumption and weekly spending on fruits and vegetables. We examined enrollment, participation, participant health perceptions, and vendor revenue. RESULTS: During the study period, 7,298 eligible participants enrolled in Fresh Fund; most (82%) had previously never been to a farmers market. Among 252 participants with matched surveys at baseline and 12-month follow-up, the proportion who reported their diet to be "healthy" or "very healthy" increased from 4% to 63% (P < .001); nearly all (93%) stated that Fresh Fund was "important" or "very important" in their decision to shop at the farmers market. Vendors reported that 48% of all market revenue they received was received through the Fresh Fund program. At 2 markets, revenue from June 1, 2011, through January 31, 2012, increased by 74% and 68% compared with revenue from June 1, 2010, through January 31, 2011. CONCLUSION: Participants in the Fresh Fund program self-reported increases in daily consumption and weekly spending on fruits and vegetables, and vendors at participating farmers markets also increased their revenue.

Resting energy expenditure: a better marker than BMI for BMD in African-American women.

PURPOSE: African-American women tend to be more overweight and to have lower resting energy expenditures (REE) compared with Caucasian women. Weight is associated with bone mineral density (BMD), but the relation between BMD and REE has not been reported. METHODS: Four hundred postmenopausal African-American women aged 45-87 (yr) from San Diego, CA participated in this community-based cross-sectional study. Body composition (fat mass, lean body mass), bone mineral content (BMC) and BMD of the lumbar spine, hip (femoral neck, greater trochanter, intertrochanter), and total body were measured using dual energy x-ray absorptiometry (DXA). REE was calculated using the Harris-Benedict equation; grip strength was measured by isometric dynamometry. RESULTS: REE (r range: 0.32-0.79) showed the strongest correlation with spine, total hip, and total body BMC and BMD. In stepwise multiple linear regressions adjusted for age and grip strength, REE explained 15% of the variance in spine BMD, 33% of the variance in total hip, and 32% of the total body BMD variance. REE explained 63% of the total body BMC variance. When body weight replaced REE in the models, weight became the strongest covariate of BMC and BMD but explained 1% less of the variance in spine BMD, 5% less of the variance in total hip BMD, 4% less of the variance in total body BMD, and 3% less of the variances in spine, total hip, and total body BMC than did REE. CONCLUSION: In this cohort of African-American women, weight explained less of the BMC and BMD variance than REE. Poor energy economy may contribute to being overweight and may explain the lower rates of osteoporosis observed in African-American women.