Californian journal of health promotion最新文献

Background and purpose: Low dietary folate intake has been associated with depression outcomes, but few studies have been reported on the association in diverse populations. Using data from the National Health and Nutrition Examination Survey (NHANES), we examined the relationship between depression and folate intake from diet and supplementation in non-Hispanic whites, Hispanics and African Americans.

Methods: 3,687 adult respondents from the 2009-2010 NHANES cycle were included. Statistical methods for analyzing data from complex survey sample designs were used to assess differences by race/ethnicity in demographic, behavioral, dietary and depression variables and to assess the relationship between depression and folate, adjusting for confounding variables using multivariable logistic regression.

Results: We observed significant (p < 0.01) differences by race/ethnicity for all demographic, behavioral, dietary and depression variables, except for physical activity. The relationship between dietary folate and depression significantly differed by race/ethnicity (p = 0.03), with an inverse and significant association in Hispanics only (OR= 0.25; 95% CI= 0.09 - 0.70.; p for trend = 0.02).

Conclusion: These data suggest that a diet high in folate, such as from dark green leafy vegetables, may be associated with a reduced odds for depression, and specifically, Hispanics may benefit from nutrition education to potentially reduce depression in the population.

Background and purpose: Caffeine is ubiquitous in foods, supplements, and medications and has been hypothesized to be associated with several health-related outcomes, including mental health disorders such as anxiety. We explored a possible relationship between caffeine consumption and depression using data from the National Health and Nutrition Examination Survey (NHANES).

Methods: Data from 1,342 adult NHANES participants were included. Statistical software for complex survey sample designs was used to perform two multivariable logistic regressions with a binary indicator of depression as the dependent variable: one using dietary caffeine consumption and one using the caffeine metabolite AAMU as the independent variable. Both analyses were adjusted for gender, race/ethnicity, smoking status, and use of anti-depressants.

Results: We observed a descriptive, albeit non-significant (p = 0.12), pattern of increasing odds of depression with increasing levels of the AAMU caffeine metabolite.

Conclusion: Our finding of a possible association between caffeine metabolite level and depression is compelling because it is independent of self-reported caffeine consumption. Prospective studies are warranted to further explore the temporal relationship.

Background and purpose: Multimedia tools are an integral part of teaching and learning in today's technology-driven world. The present study explored the role of a newly-developed video introducing the emerging field of big data to a diverse undergraduate student population. Particularly, we investigated whether introduction of a multimedia tool would influence students' self-perceived knowledge related to various big data concepts and future interest in pursuing the field, and what factors influence these.

Methods: Students (n = 331) completed a survey on-line after viewing the video, consisting of Likert-type and quantitative questions about students' learning experience, future interest in big data, and background. The dataset was analyzed via ANOVA and multiple linear regression methods.

Results: Gender, major, and intended degree were significantly associated with students' learning experience and future interest in big data. Moreover, students who had no prior exposure to big data reported a better learning experience, although they also reported less likelihood to pursue it in the future.

Conclusion: Multimedia tools may serve as an effective learning tool in introducing and creating interest in a diverse group of students related to introductory big data science concepts. Both similarities and differences were observed regarding such behaviors among different student sub-groups.

Background and purpose: Depression affects millions of adolescents in the United States each year. This population may benefit from targeted preventive interventions. We sought to understand the internal factors that affect the ability of healthcare organizations to implement an intervention that involves mental health screening and depression prevention treatment of at-risk adolescents in primary care settings.

Methods: From November 2011 to July 2016 we conducted a study of the implementation of a multisite (N=30) phase 3 randomized clinical trial of an Internet-based depression prevention intervention program (CATCH-IT). We describe the prevalence of internal barriers on the screening and enrollment process by reporting REACH (the proportion of target audience exposed to the intervention).

Results: A total of 369 adolescents were randomized into the intervention or control program. Mean REACH values for the study clinics were 0.216 for screening and 0.181 for enrollment to CATCH-IT. Mean REACH enrollment lost due to internal barriers was 0.233. This translated to 4,691 adolescents lost at screening and 2,443 adolescents lost at enrollment due to internal barriers.

Conclusion: We propose a model of the implementation process that emphasizes the importance of positive relational work that assists in overcoming internal barriers to REACH. We also provide implications for policy and practice.

Background: Timely and appropriate treatment could help reduce the burden of mental illness.

Purpose: This study describes mental health services use among Californians with mental health need, highlights underserved populations, and discusses policy opportunities.

Methods: Four years of California Health Interview Survey data (2011, 2012, 2013, 2014) were pooled and weighted to the 2013 population to estimate mental health need and unmet need (n=82,706). Adults with mental health need had "unmet need" if they did not use prescription medication and did not have at least four or more mental health visits in the past year. Multivariable logistic regression analysis was performed to predict the probability adults with mental health need did not receive past-year treatment (n=5,315).

Results: Seventy-seven percent of Californians with mental health need received no or inadequate mental health treatment in 2013. Men, Latinos, Asians, young people, older adults, people with less education, uninsured adults, and individuals with limited English proficiency were significantly more likely to have unmet need. Cost of treatment and mental health stigma were common reasons for lack of care.

Conclusion: Unmet mental health need is predominant in California. Policy recommendations include continued expansion of mental health coverage, early identification, and ensuring that treatment is culturally and linguistically appropriate.