Margaret Shih

Proximity of fast food restaurants to schools: Do neighborhood income and type of school matter?

OBJECTIVES To investigate the proximity of fast food restaurants to public schools and examine proximity by neighborhood income and school level (elementary, middle, or high school). METHODS Geocoded school and restaurant databases from 2005 and 2003, respectively, were used to determine the percentage of schools with one or more fast food restaurants within 400 m and 800 m of all public schools in Los Angeles County, California. Single-factor analysis of variance (ANOVA) models were run to examine fast food restaurant proximity to schools by median household income of the surrounding census tract and by school level. Two-factor ANOVA models were run to assess the additional influence of neighborhood level of commercialization. RESULTS Overall, 23.3% and 64.8% of schools had one or more fast food restaurants located within 400 m and 800 m, respectively. Fast food restaurant proximity was greater for high schools than for middle and elementary schools, and was inversely related to neighborhood income for schools in the highest commercial areas. No association with income was observed in less commercial areas. CONCLUSIONS Fast food restaurants are located in close proximity to many schools in this large metropolitan area, especially high schools and schools located in low income highly commercial neighborhoods. Further research is needed to assess the relationship between fast food proximity and student dietary practices and obesity risk.

Serious Psychological Distress in U.S. Adults with Arthritis

AbstractBACKGROUND: Arthritis and mental health disorders are leading causes of disability commonly seen by health care providers. Several studies demonstrate a higher prevalence of anxiety and depression in persons with arthritis versus those without arthritis. OBJECTIVES: Determine the national prevalence of serious psychological distress (SPD) and frequent anxiety or depression (FAD) in adults with arthritis, and in adults with arthritis, identify risk factors associated with SPD. METHODS: Cross-sectional data from the 2002 National Health Interview Survey, an in-person household interview survey, were used to estimate the prevalence of SPD and FAD in adults with (n=6,829) and without (n=20,676) arthritis. In adults with arthritis, the association between SPD and sociodemographic, clinical, and functional factors was evaluated using multivariable logistic regression. RESULTS: The prevalence of SPD and FAD in adults with arthritis is significantly higher than in adults without arthritis (5.6% vs 1.8% and 26.2% vs 10.7%, P<.001, respectively). In adults with arthritis, SPD was significantly associated with younger age, lower socioeconomic status, divorce/separation, recurrent pain, physical inactivity, having functional or social limitations, and having comorbid medical conditions. Adults aged 18 to 44 years were 6.5 times more likely to report SPD than those 65 years or older, and adults with recurrent pain were 3 times more likely to report SPD than those without recurrent pain. CONCLUSIONS: Serious psychological distress and FAD affect persons with arthritis and should be addressed in their treatment. Younger adults with arthritis, and those with recurrent pain or either functional or social limitations, may be at higher risk for SPD.

Health-related quality of life among adults with serious psychological distress and chronic medical conditions

ObjectiveDetermine the prevalence of serious psychological distress (SPD) among adults with and without chronic medical conditions and examine the association between SPD and health-related quality of life (HRQOL).MethodsCross-sectional data from the 2005 Los Angeles County Health Survey were used to estimate prevalence of SPD. The association between SPD and HRQOL was evaluated using logistic regression and analysis of covariance, adjusting for sociodemographic variables and number of chronic conditions.ResultsSPD was significantly associated with younger age, lower income, being unemployed or disabled, being unmarried, fair or poor health, and having one or more chronic conditions. Adults with three or more chronic conditions were six times as likely to have SPD as those with no conditions. Adults with SPD reported significantly more unhealthy days (mental and physical) and activity limitation days than adults without SPD. The adjusted mean number of unhealthy days was highest among adults with SPD (23.3), followed by adults with depression (14.1), and diabetes (10.6).ConclusionsSPD is associated with decreased HRQOL and presence of chronic medical conditions. Mental health should be routinely assessed when addressing health needs of individuals and communities. Persons with chronic diseases may benefit from targeted mental health screening and programs that employ treatment approaches that jointly manage physical and mental health and provide improved links and access to services.

The association between community-level economic hardship and childhood obesity prevalence in Los Angeles

What is already known about this subject Neighbourhood social, economic and environmental factors are associated with childhood obesity. Childhood obesity disproportionately impacts those living in low‐income neighbourhoods.

Stemming the tide: Rising diabetes prevalence and ethnic subgroup variation among Asians in Los Angeles County

OBJECTIVE The primary objective of this analysis was to examine the burden of diabetes among Asians and Asian subgroups in Los Angeles County, which has the largest county population of Asians in the U.S. METHOD Data were analyzed from 6cycles of the Los Angeles County Health Survey, 1997-2011 (n=47,282). Asian adults (n=4672) were categorized into the following ethnic subgroups: Chinese, Filipino, Korean, Japanese, Vietnamese, South Asian, and Other Asian. Descriptive and multivariable logistic regression analyses were conducted to examine trends in prevalence, prevalence among Asian subgroups, and factors associated with diabetes. RESULTS In 2005, we observed a rapid increase in diabetes prevalence among Asians compared to whites despite consistently lower BMI relative to other racial/ethnic groups. Diabetes prevalence was significantly higher among Filipinos and South Asians (>10%) compared to East Asians and Vietnamese (<7%). After adjusting for all covariates, Asians who were older, non-drinkers, insured, and overweight or obese were found to have increased odds of diabetes. CONCLUSION Diabetes prevalence is increasing more rapidly among Asians compared to whites despite overall lower BMI. The significant heterogeneity among Asian subgroups highlights the need for disaggregated data and additional research to develop culturally appropriate interventions for diabetes prevention and control.

Small Area Estimates Reveal High Cigarette Smoking Prevalence in Low-Income Cities of Los Angeles County

Los Angeles County has among the lowest smoking rates of large urban counties in the USA. Nevertheless, concerning disparities persist as high smoking prevalence is found among certain subgroups. We calculated adult smoking prevalence in the incorporated cities of Los Angeles County in order to identify cities with high smoking prevalence. The prevalence was estimated by a model-based small area estimation method with utilization of three data sources, including the 2007 Los Angeles County Health Survey, the 2000 Census, and the 2007 Los Angeles County Population Estimates and Projection System. Smoking prevalence varied considerably across cities, with a more than fourfold difference between the lowest (5.3%) and the highest prevalence (21.7%). Higher smoking prevalence was generally found in socioeconomically disadvantaged cities. The disparities identified here add another layer of data to our knowledge of the health inequities experienced by low-income urban communities and provide much sought data for local tobacco control. Our study also demonstrates the feasibility of providing credible local estimates of smoking prevalence using the model-based small area estimation method.

Declines in Sugar-Sweetened Beverage Consumption Among Children in Los Angeles County, 2007 and 2011

This study assessed changes in consumption of sugar-sweetened beverages (SSBs) among children (aged ≤17 years) in Los Angeles County. We analyzed children’s data from the 2007 (n = 5,595) and 2011 (n = 5,934) Los Angeles County Health Survey. The percentage of children who consumed 1 or more SSB per day decreased from 43.3% in 2007 to 38.3% in 2011 (P < .001); this decrease was seen across most sociodemographic subgroups. Despite measurable progress in reducing SSB consumption among children in Los Angeles County, consumption remains high, highlighting the need for additional policy and programmatic interventions.

Public Opinion on Nutrition-Related Policies to Combat Child Obesity, Los Angeles County, 2011

We assessed public opinion on nutrition-related policies to address child obesity: a soda tax, restrictions on advertising unhealthy foods and beverages to children, and restrictions on siting fast food restaurants and convenience stores near schools. We analyzed data from 998 adults (aged ≥18 years) in the 2011 Los Angeles County Health Survey. Support was highest for advertising restrictions (74%), intermediate for a soda tax (60%), and lowest for siting restrictions on fast food restaurants and convenience stores (44% and 37%, respectively). Support for food and beverage advertising restrictions and soda taxation is promising for future policy efforts to address child obesity.

Turning the Curve on Obesity Prevalence Among Fifth Graders in the Los Angeles Unified School District, 2001–2013

Introduction After multiple decades of increasing childhood obesity prevalence in the United States, findings from recent studies suggest that prevalence has leveled or is decreasing in some populations. However, demographic and socioeconomic disparities in prevalence remain and may be increasing. Methods To assess recent trends and disparities in childhood obesity prevalence in Los Angeles County, we analyzed data from 2001 through 2013 in fifth graders in the Los Angeles Unified School District (LAUSD). Obesity was defined as a body mass index at or above the 95th percentile for children of the same age and sex as compared with Centers for Disease Control and Prevention growth charts, on the basis of measured height and weight. Trends were examined by sex, race/ethnicity, and socioeconomic status (SES). SES was determined by using school-level data on the percentage of students participating in a free and reduced-price meal program. Results Obesity prevalence increased from 27.5% in 2001 to 31.6% in 2005, was stable from 2005 through 2010, and decreased from 31.6% in 2010 to 28.5% in 2013. Similar trajectories in prevalence were observed for all demographic and SES subgroups, although the decline in prevalence began earlier among whites and students attending schools in the highest SES group. Disparities in prevalence by race/ethnicity and SES were observed during the entire study period but narrowed slightly from 2010 through 2013. Conclusion Although obesity prevalence among fifth graders in LAUSD declined from 2010 through 2013, prevalence remains higher than in 2001, and demographic and socioeconomic disparities in prevalence persist. Future interventions in the county should prioritize Latinos and students attending low SES schools.

Sub-County Life Expectancy: A Tool to Improve Community Health and Advance Health Equity

Compared with people in other developed countries, Americans live shorter lives, have more disease and disability, and lag on most population health measures. Recent research suggests that this poor comparative performance is primarily driven by profound local place-based disparities. Several initiatives successfully used sub-county life expectancy estimates to identify geographic disparities, generate widespread interest, and catalyze multisector actions. To explore the feasibility of scaling these efforts, the Centers for Disease Control and Prevention and the Council of State and Territorial Epidemiologists initiated a multiphase project — the Sub-County Assessment of Life Expectancy. Phase I participants reviewed the literature, assessed and identified appropriate tools, calculated locally relevant estimates, and developed methodological guidance. Phase I results suggest that most state and local health departments will be able to calculate actionable sub-county life expectancy estimates despite varying resources, expertise, and population sizes, densities, and geographies. To accelerate widespread scaling, we describe several successful case examples, identify user-friendly validated tools, and provide practical tips that resulted from lessons learned.