Associations of Eating Identities With Self-Reported Dietary Behaviors and Body Mass Index.

Objective: To inform dietary interventions, it is important to understand antecedents of recommended (henceforth: healthy) dietary behaviors, beyond dietary beliefs and self-efficacy. We used the validated "Eating Identity Type Inventory" to assess the extent to which participants identified as healthy eaters, meat eaters, emotional eaters or picky eaters. We examined correlations between participants' race/ethnicity and other socio-demographic characteristics and affinity with these eating identities, how affinity with these eating identities correlated with self-reports of dietary beliefs, self-efficacy, dietary behaviors and Body Mass Index (BMI), and how well affinity with these eating identities predicted self-reported dietary behaviors and BMI, as compared to self-reported dietary beliefs and self-efficacy. Methods: In an online survey, a diverse sample of 340 Los Angeles County adults reported eating identities, dietary beliefs, and self-efficacy, dietary behaviors and BMI. Results: Pearson correlations revealed that identifying more as a healthy eater was positively associated with self-reports of being non-Hispanic White, non-Hispanic mixed race, older, and college-educated, while identifying more as a meat eater was positively associated with self-reports of being non-Hispanic Black, younger, and male (α = 0.05). Pearson correlations also showed that healthy eaters had more accurate dietary beliefs and self-efficacy, and emotional eaters had lower self-efficacy (α = 0.05). In linear regressions, identifying more as a healthy eater was associated with self-reporting healthier dietary behaviors and lower BMI, and identifying more as a meat eater and emotional eater was associated with reporting less healthy dietary behaviors and higher BMI, even after accounting for correlations with socio-demographics, dietary beliefs, and self-efficacy (α = 0.05). Conclusions: Our findings highlight the importance of eating identities in understanding dietary behaviors and outcomes, with implications for dietary interventions.

Using control charts to understand community variation in COVID-19.

Decision-makers need signals for action as the coronavirus disease 2019 (COVID-19) pandemic progresses. Our aim was to demonstrate a novel use of statistical process control to provide timely and interpretable displays of COVID-19 data that inform local mitigation and containment strategies. Healthcare and other industries use statistical process control to study variation and disaggregate data for purposes of understanding behavior of processes and systems and intervening on them. We developed control charts at the county and city/neighborhood level within one state (California) to illustrate their potential value for decision-makers. We found that COVID-19 rates vary by region and subregion, with periods of exponential and non-exponential growth and decline. Such disaggregation provides granularity that decision-makers can use to respond to the pandemic. The annotated time series presentation connects events and policies with observed data that may help mobilize and direct the actions of residents and other stakeholders. Policy-makers and communities require access to relevant, accurate data to respond to the evolving COVID-19 pandemic. Control charts could prove valuable given their potential ease of use and interpretability in real-time decision-making and for communication about the pandemic at a meaningful level for communities.

Comparison of radiofrequency electromagnetic field exposure levels in different everyday microenvironments in an international context.

BACKGROUND: The aim of this study was to quantify RF-EMF exposure applying a tested protocol of RF-EMF exposure measurements using portable devices with a high sampling rate in different microenvironments of Switzerland, Ethiopia, Nepal, South Africa, Australia and the United States of America. METHOD: We used portable measurement devices for assessing RF-EMF exposure in 94 outdoor microenvironments and 18 public transport vehicles. The measurements were taken either by walking with a backpack with the devices at the height of the head and a distance of 20-30 cm from the body, or driving a car with the devices mounted on its roof, which was 170-180 cm above the ground. The measurements were taken for about 30 min while walking and about 15-20 min while driving in each microenvironment, with a sampling rate of once every 4 s (ExpoM-RF) and 5 s (EME Spy 201). RESULTS: Mean total RF-EMF exposure in various outdoor microenvironments varied between 0.23 V/m (non-central residential area in Switzerland) and 1.85 V/m (university area in Australia), and across modes of public transport between 0.32 V/m (bus in rural area in Switzerland) and 0.86 V/m (Auto rickshaw in urban area in Nepal). For most outdoor areas the major exposure contribution was from mobile phone base stations. Otherwise broadcasting was dominant. Uplink from mobile phone handsets was generally very small, except in Swiss trains and some Swiss buses. CONCLUSIONS: This study demonstrates high RF-EMF variability between the 94 selected microenvironments from all over the world. Exposure levels tended to increase with increasing urbanity. In most microenvironments downlink from mobile phone base stations is the most relevant contributor.

Factors Associated With Medical School Graduates' Intention to Work With Underserved Populations: Policy Implications for Advancing Workforce Diversity.

PURPOSE: Given projected U.S. physician shortages across all specialties that will likely impact underserved areas disproportionately, the authors sought to explore factors most correlated with medical school graduates' intention to work with underserved populations (IWUP). METHOD: Data from the 2010-2012 Association of American Medical Colleges Medical School Graduation Questionnaire (n = 40,846) were analyzed. Variables (demographics, career preference, debt burden, intention to enter loan forgiveness programs) were examined using chi-square tests and logistic regression models. RESULTS: Respondents included 49.5% (20,228/40,846) women, 16.6% (6,771/40,837) underrepresented minorities (URMs), and 32.4% (13,034/37,342) with primary care intent. The median educational debt was $160,000. Respondents who were women (adjusted odds ratio [aOR] 1.59, 95% confidence interval [CI] 1.49, 1.70), URMs (aOR 2.50, 95% CI 2.30, 2.72), intended to enter loan forgiveness programs (aOR 2.44, 95% CI 2.26, 2.63), intended to practice primary care (aOR 1.65, 95% CI 1.54, 1.76), and intended to emphasize nonclinical careers (aOR 1.23, 95% CI 1.11, 1.37) had greater odds of reporting IWUP. Among those who chose specialties and careers with a nonclinical emphasis, and among those with greater burdens of educational and consumer debt, URMs were nearly twice as likely as other minorities and whites to report IWUP. CONCLUSIONS: Findings suggest physician characteristics that may be associated with filling workforce gaps in underserved areas. Restructuring financial incentive programs to support physician leaders and specialists with characteristics associated with IWUP may complement similar policies in primary care and could have key impacts on health equity in underserved areas.

Prevalence of Substance Use Among Patients of Community Health Centers in East Los Angeles and Tijuana.

BACKGROUND: Given the increased use of psychoactive substances on the United States-Mexico border, a binational study (Tijuana, Mexico-Los Angeles, USA) was conducted to identify the prevalence of substance use in primary care settings. OBJECTIVES: To compare the prevalence and characteristics of patients at risk for substance use disorders in Tijuana and East Los Angeles (LA) community clinics with special attention paid to drug use. METHODS: This was an observational, cross-sectional, analytical study, comparing substance use screening results from patients in Tijuana and LA. The settings were 2 community clinics in LA and 6 in Tijuana. Participants were 2,507 adult patients in LA and 2,890 in Tijuana eligible for WHO Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) screening during March-October 2013. Patients anonymously self-administered the WHO ASSIST on a tablet PC in the clinic waiting rooms. RESULTS: Of eligible patients, 96.4% completed the ASSIST in Tijuana and 88.7% in LA (mean 1.34 minutes and 4.20 minutes, respectively). The prevalence of patients with moderate-to-high substance use was higher in LA than Tijuana for each substance: drugs 19.4% vs. 5.7%, alcohol 15.2% vs. 6.5%, tobacco 20.4% vs. 16.2%. LA patients born in Mexico had 2x the odds and LA patients born in the United States had 6x the odds of being a moderate-to-high drug user compared to Tijuana patients born in Mexico. CONCLUSIONS: Moderate-to-high drug use is higher in LA than in Tijuana but rates are sufficiently high in both to suggest that screening for drug use (along with alcohol and tobacco use) should be integrated into routine primary care of community clinics in both cities.

Project QUIT (Quit Using Drugs Intervention Trial): a randomized controlled trial of a primary care-based multi-component brief intervention to reduce risky drug use.

AIMS: To assess the effect of a multi-component primary care delivered brief intervention for reducing risky psychoactive drug use (RDU) among patients identified by screening. DESIGN: Multicenter single-blind two-arm randomized controlled trial of patients enrolled from February 2011 to November 2012 with 3-month follow-up. Randomization and allocation to trial group were computer-generated. SETTING: Primary care waiting rooms of five federally qualified health centers in Los Angeles County (LAC), USA. PARTICIPANTS: A total of 334 adult primary care patients (171 intervention; 163 control) with RDU scores (4-26) on the World Health Organization (WHO) Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) self-administered on tablet computers. 261 (78%) completed follow-up. Mean age was 41.7 years; 62.9% were male; 37.7% were Caucasian. INTERVENTION(S) AND MEASUREMENT: Intervention patients received brief (typically 3-4 minutes) clinician advice to quit/reduce their drug use reinforced by a video doctor message, health education booklet and up to two 20-30-minute follow-up telephone drug use coaching sessions. Controls received usual care and cancer screening information. Primary outcome was patient self-reported use of highest scoring drug (HSD) at follow-up. FINDINGS: Intervention and control patients reported equivalent baseline HSD use at 3-month follow-up. After adjustment for covariates, in the complete sample linear regression model, intervention patients used their HSD on 3.5 fewer days in the previous month relative to controls (P<0.001), and in the completed sample model, intervention patients used their HSD 2.2 fewer days than controls (P < 0.005). No compensatory increases in use of other measured substances were found. CONCLUSIONS: A primary-care based, clinician-delivered brief intervention with follow-up coaching calls may decrease risky psychoactive drug use.

Barriers to drug use behavior change among primary care patients in urban United States community health centers.

In 2011 and 2012, 147 patients in urban United States Community Health Centers who misused drugs, but did not meet criteria for drug dependence, received a brief intervention as part of a National Institute on Drug Abuse-funded clinical trial of a screening and brief intervention protocol. Potential study participants were identified using the World Health Organization (WHO) Alcohol, Smoking, and Substance Involvement Screening Test. Data gathered during brief interventions were analyzed using grounded theory strategies to identify barriers patients believed inhibited drug use behavior change. Numerous perceived barriers to drug use behavior change were identified. Study implications and limitations are discussed.

Prevalence, distribution, and correlates of hepatitis C virus infection among homeless adults in Los Angeles.

OBJECTIVE: We documented the prevalence, distribution, and correlates of hepatitis C virus (HCV) infection among urban homeless adults. METHODS: We sampled a community-based probability sample of 534 homeless adults from 41 shelters and meal programs in the Skid Row area of downtown Los Angeles, California. Participants were interviewed and tested for HCV, hepatitis B, and HIV. Outcomes included prevalence, distribution, and correlates of HCV infection; awareness of HCV positivity; and HCV counseling and treatment history. RESULTS: Overall, 26.7% of the sample tested HCV-positive and 4.0% tested HIV-positive. In logistic regression analysis, independent predictors of HCV infection for the total sample included older age, less education, prison history, and single- and multiple-drug injection. Among lifetime drug injectors, independent predictors of HCV infection included older age, prison history, and no history of intranasal cocaine use. Among reported non-injectors, predictors of HCV infection included older age, less education, use of non-injection drugs, and three or more tattoos. Sexual behaviors and snorting or smoking drugs had no independent relationship with HCV infection. Among HCV-infected adults, nearly half (46.1%) were unaware of their infection. CONCLUSIONS: Despite the high prevalence of HCV infection, nearly half of the cases were hidden and few had ever received any HCV-related treatment. While injection drug use was the strongest independent predictor, patterns of injection drug use, non-injection drug use, prison stays, and multiple tattoos were also independent predictors of HCV. Findings suggest that urgent interventions are needed to screen, counsel, and treat urban homeless adults for HCV infection.

Hepatitis C among clients of health care for the homeless primary care clinics.

OBJECTIVES: To describe the prevalence, distribution and risk factors for hepatitis C virus (HCV) infection among homeless adults using eight Health Care for the Homeless (HCH) clinics nationally. METHODS: Data were collected for 387 participants through blood draws, structured interviews, chart reviews. RESULTS: Overall prevalence of HCV-antibody positivity was 31.0%, including 70.0% among injection drug users and 15.5% among reported non-injectors. Much HCV infection was hidden as the majority (53.3%) of HCV-antibody positive participants was unaware of their status. Independent risk factors for HCV among the total sample included injection drug use, prison, and tattoos; among injectors, risk factors included prison and three or more years of injection drug use; among reported non-injectors, risk factors included tattoos and prison. CONCLUSION: These HCH clinics serve high concentrations of HCV-infected injectors, making these and similar clinics priority intervention sites for aggressive screening, education, testing, and treatment for HCV and other blood-borne diseases.

Wireless data collection of self-administered surveys using tablet computers.

The accurate and expeditious collection of survey data by coordinators in the field is critical in the support of research studies. Early methods that used paper documentation have slowly evolved into electronic capture systems. Indeed, tools such as REDCap and others illustrate this transition. However, many current systems are tailored web-browsers running on desktop/laptop computers, requiring keyboard and mouse input. We present a system that utilizes a touch screen interface running on a tablet PC with consideration for portability, limited screen space, wireless connectivity, and potentially inexperienced and low literacy users. The system was developed using C#, ASP.net, and SQL Server by multiple programmers over the course of a year. The system was developed in coordination with UCLA Family Medicine and is currently deployed for the collection of data in a group of Los Angeles area clinics of community health centers for a study on drug addiction and intervention.

Health and health care disparities among homeless women.

While disparities in health and health care between vulnerable (e.g., minorities, low-income) and majority populations are well documented, less is known about disparities within these special populations that are large and diverse. Such knowledge is essential to determine the neediest within these generally needy populations, and to plan interventions to reduce their health and health care disparities. With data from 1,331 women residing in Los Angeles County California, in one of the largest, most comprehensive studies of the health of homeless women to date, this study examined the health and health care disparities among homeless African American, Latina, and white women. This study further explored if race/ethnicity and other factors that predispose homeless women to poor health, or enable them to obtain better health care, were associated with their unmet need for medical care. The study found that white, non-Latina women were more likely to report unmet need than African Americans and Latinas, and women suffering from drug abuse, violence, or depression were most in need of care. These findings should be considered in targeting and addressing the special needs of homeless women of different racial/ethnic groups.

Hospitalizations among homeless women: are there ethnic and drug abuse disparities?

This paper explores associations among the vulnerabilities of being female, being a member of a minority group, and being a drug abuser in homeless women's hospitalizations. It uses a 1997 probability survey of 974 homeless females age 15-44 in Los Angeles. In unadjusted analyses, whites were more likely than other ethnic minority groups to be hospitalized, and drug abusers were more likely to be hospitalized than non-drug abusers. Multiple logistic regression analyses indicated that factors associated with hospitalization differed considerably among the ethnic and drug-abuse subgroups. For example, ethnic disparities in inpatient health care were found for drug-abusing women, but not for those who did not abuse drugs. Pregnancy was the only important determinant of hospitalization in all subgroups (OR, 2.9-17.4). Preventing unintended pregnancy appears to be the most inclusive means of reducing hospitalization and attendant costs among homeless women.

Access to women's health care: a qualitative study of barriers perceived by homeless women.

Homelessness is an escalating national problem and women are disproportionately affected. Nevertheless, few studies have focused on the special circumstances associated with being a homeless woman. For instance, while both genders experience serious barriers to obtaining health care, homeless women face an additional burden by virtue of their sexual and reproductive health needs. The current study was conducted as the first stage of a qualitative/quantitative investigation of homeless women's access and barriers to family planning and women's health care. We interviewed 47 homeless women of diverse ages and ethnic backgrounds. A qualitative approach was initially taken to explore the factors homeless women themselves perceive as barriers to their use of birth control and women's health services, and factors they believe would facilitate their use. Key findings are that health is not a priority for homeless women, that transportation and scheduling can be particularly burdensome for homeless women, and that being homeless leads some to feel stigmatized by health care providers. Despite being homeless, having children was extremely important to the women in our study. At the same time, those interested in contraception confronted significant barriers in their efforts to prevent pregnancies. We conclude with suggested interventions that would make general, gynecological, and reproductive health care more accessible to homeless women.

Providers of primary care to homeless women in Los Angeles County.

Little is known about the access barriers homeless women face at the sites where they are most likely to receive primary health care. To investigate this issue, we administered a mail survey to administrators and clinicians at clinic sites that were actual or potential providers of primary health care to homeless women in Los Angeles County in 1997. The response rate was 65%. Ninety percent of the homeless women seen by responding sites were seen at only 34% of those sites (designated as "major providers"). Deficiencies were identified in several structural and process characteristics that enhance access to and quality of care for homeless women, including clinician training in care for homeless persons; formal screening for homeless status and associated risk factors; and on-site provision of comprehensive health services, including mental health, substance abuse, reproductive health, and ancillary services. Some, but not all, deficiencies were less severe at major providers. Our results suggest that, although providers of care to homeless women share challenges faced by many safety net providers, there are several policy interventions that could improve access to and quality of care for homeless women.