PURPOSE We assessed the prevalence of major cardiovascular disease (CVD) risk factors among Chinese, Asian Indian, Filipino, and other Asian populations compared to non-Hispanic Whites in the United States. METHODS We analyzed aggregated data from the National Health Interview Survey (NHIS) from 2003 to 2005. Bivariate analyses were used to determine differences in the prevalence of CVD risk factors among Asian subgroups and white adults. Logistic regression analyses were also conducted to compare each Asian subgroup with white adults after taking sociodemographic variables into account. RESULTS The unadjusted prevalence of physical inactivity was highest among Asian Indians and other Asians. After we controlled for covariates, Asian Indians still had higher odds of physical inactivity than Whites (odds ratio [OR] = 1.50, 95% confidence interval [CI] = 1.22–1.84). All Asian ethnic groups were significantly less likely than Whites to report smoking, obesity, and binge drinking. Compared with Whites, Filipinos were more likely to have hypertension (OR = 1.18, 95% CI = 1.02–1.44) and Asian Indians were more likely to have diabetes (OR = 2.27, 95% CI = 1.63–3.20). CONCLUSION Although Asian race was generally associated with lower risk for CVD, certain risk factors were particularly high among some Asian subgroups. Future interventions should specify the needs of specific subgroups and design culturally specific programs to reduce health risk behaviors in each Asian subpopulation.

Background Depression remains a major public health problem that is most often evaluated and treated in primary care settings. The objective of this study was to examine the prevalence, treatment, and control of depressive symptoms in a national data sample using a common primary care screening tool for depression. Methods We analyzed a sample of adults (n = 4836) from 2005 to 2008 National Health and Nutrition Examination Survey data. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) to determine the overall prevalence, rates of treatment, and antidepressant control of mild, moderate, moderately severe, and severe depressive symptoms. Results Of the sample, 20.1% reported significant depressive symptoms (PHQ-9) score, ≥5), the majority of whom had mild depressive symptoms (PHQ-9) score, 5–9). Even among individuals with severe depressive symptoms, a large percentage (36.9%) received no treatment from a mental health professional or with antidepressant medication. Of those taking antidepressants, 26.4% reported mild depressive symptoms and 18.8% had moderate, moderately severe, or severe depressive symptoms. Conclusions Despite greater awareness and treatment of depression in primary care settings, the prevalence of depressive symptoms remains high, treatment levels remain low, and control of depressive symptoms are suboptimal. Primary care providers need to continue to focus their efforts on diagnosing and effectively treating this important disease.

Baltrus et al. | Peer Reviewed | Research and Practice | 1595 RESEARCH AND PRACTICE  Objectives. We investigated whether race differences in weight gain over 34 years were because of socioeconomic position (SEP) and psychosocial and behavioral factors (physical activity, cigarette smoking, alcohol consumption, depression, marital status, number of children). We used a life-course approach to SEP with 4 measures of SEP (childhood SEP, education, occupation, income) and a cumulative measure of SEP.Methods. We used mixed models and data collected from the Alameda County Study to examine the association between race and weight change slopes and baseline weight in men (n = 1186) and women (n = 1375) aged 17 to 40 years at baseline (in 1965).Results. All subjects gained weight over time. African American women weighed 4.96 kg (P < .001) more at baseline and gained 0.10 kg/year (P = .043) more weight than White women. Black men weighed 2.41 kg (P = .006) more at baseline but did not gain more weight than White men. The association of race with weight gain in women was largely because of cumulative SEP score.Conclusions. Interventions to prevent overweight and obesity should begin early in life and target the socioeconomically disadvantaged. (Am J Public Health. 2005;95:1595-1601

Although nearly all segments of the Black population experienced widened post-HAART disparities, disparities were not inevitable and tended to reflect pre-HAART levels. Public health policymakers should consider the hypothesis of unequal diffusion of the HAART innovation, with place effects rendering some communities more vulnerable than others to this potential problem.