Racial/Ethnic Differences in Parental Concern About Their Child’s Drug Use in a Nationally Representative Sample in the United States

This article sought to determine whether racial disparities exist in psychotropic drug use and expenditures in a nationally representative sample of men in the United States. Data were extracted from the 2000-2009 Medical Expenditure Panel Survey, a longitudinal survey that covers the U.S. civilian noninstitutionalized population. Full-Year Consolidated, Medical Conditions, and Prescribed Medicines data files were merged across 10 years of data. The sample of interest was limited to adult males aged 18 to 64 years, who reported their race as White, Black, Hispanic, or Asian. This study employed a pooled cross-sectional design and a two-part probit generalized linear model for analyses. Minority men reported a lower probability of psychotropic drug use (Black = −4.3%, 95% confidence interval [CI] = [−5.5, −3.0]; Hispanic = −3.8%, 95% CI = [−5.1, −2.6]; Asian = −4.5%, 95% CI = [−6.2, −2.7]) compared with White men. After controlling for demographic, socioeconomic, and health status variables, there were no statistically significant race differences in drug expenditures. Consistent with previous literature, racial and ethnic disparities in the use of psychotropic drugs present problems of access to mental health care and services.

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Gender and Marital Satisfaction: Data from the National Survey of Families and Households

Psychological Reports ◽

10.2466/pr0.1998.83.1.319 ◽

1998 ◽

Vol 83 (1) ◽

pp. 319-327 ◽

Cited By ~ 10

Author(s):

Walter R. Schumm ◽

Farrell J. Webb ◽

Stephan R. Bollman

Keyword(s):

United States ◽

Marital Satisfaction ◽

Representative Sample ◽

The United States ◽

Nationally Representative ◽

Relationship Of ◽

The Relationship ◽

Satisfaction Relationship ◽

Representative Samples ◽

Small Support

In 1972, Bernard argued that marriage was good for men and bad for women. Subsequent research noted that wives, on average, reported lower marital satisfaction than husbands. Furthermore, when differences within couples existed on marital satisfaction, the wife was usually the less satisfied spouse; however, most previous studies of the gender/marital satisfaction relationship had not been based on nationally representative samples. A nationally representative sample from the 1988 Survey of Families and Households was used to assess the relationship of gender with marital satisfaction. Within-couple analyses indicated that wives were less satisfied with their marriages than husbands and that, when substantial within-couple differences occurred with respect to marital satisfaction, the wife was usually the less satisfied spouse. Results provide at least small support for feminist assertions about the relatively adverse nature of marriage for women in the United States.

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Association of treatment modality for depression and burden of comorbid chronic illness in a nationally representative sample in the United States

General Hospital Psychiatry ◽

10.1016/j.genhosppsych.2012.07.004 ◽

2012 ◽

Vol 34 (6) ◽

pp. 588-597 ◽

Cited By ~ 7

Author(s):

Danielle F. Loeb ◽

Vahram Ghushchyan ◽

Amy G. Huebschmann ◽

Ingrid E. Lobo ◽

Elizabeth A. Bayliss

Keyword(s):

United States ◽

Chronic Illness ◽

Treatment Modality ◽

Representative Sample ◽

The United States ◽

Nationally Representative

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Co-occurrence of Autism and Asthma in a Nationally-Representative Sample of Children in the United States

Journal of Autism and Developmental Disorders ◽

10.1007/s10803-014-2174-y ◽

2014 ◽

Vol 44 (12) ◽

pp. 3083-3088 ◽

Cited By ~ 27

Author(s):

Stanley Kotey ◽

Karen Ertel ◽

Brian Whitcomb

Keyword(s):

United States ◽

Representative Sample ◽

The United States ◽

Nationally Representative

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Racial/ethnic differences in opioid-involved overdose deaths across metropolitan and non-metropolitan areas in the United States, 1999−2017

Drug and Alcohol Dependence ◽

10.1016/j.drugalcdep.2020.108059 ◽

2020 ◽

Vol 212 ◽

pp. 108059

Author(s):

Kumiko Lippold ◽

Bina Ali

Keyword(s):

United States ◽

Ethnic Differences ◽

Metropolitan Areas ◽

The United States ◽

Racial Ethnic ◽

Overdose Deaths

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Identifying Predictive Characteristics of Opioid Medication Use among a Nationally Representative Sample of United States Older Adults with Pain and Comorbid Hypertension or Hypercholesterolemia

Healthcare ◽

10.3390/healthcare8030341 ◽

2020 ◽

Vol 8 (3) ◽

pp. 341

Author(s):

David R. Axon ◽

Shannon Vaffis ◽

Srujitha Marupuru

Keyword(s):

United States ◽

Older Adults ◽

Representative Sample ◽

Chronic Conditions ◽

Functional Limitation ◽

The United States ◽

Medical Expenditure ◽

Opioid Use ◽

Nationally Representative ◽

Opioid Users

The prevalence of older adults with pain and comorbid cardiovascular conditions is increasing in the United States (U.S.). This retrospective, cross-sectional database study used 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models to identify predictive characteristics of opioid use among a nationally representative sample of older U.S. adults (aged ≥50 years) with pain in the past four weeks and comorbid hypertension (pain–hypertension group) or hypercholesterolemia (pain–hypercholesterolemia group). The pain–hypertension group included 2733 subjects (n = 803 opioid users) and the pain–hypercholesterolemia group included 2796 subjects (n = 795 opioid users). In both groups, predictors of opioid use included: White race versus others, Hispanic versus non-Hispanic ethnicity, 1 versus ≥5 chronic conditions, little/moderate versus quite a bit/extreme pain, good versus fair/poor perceived mental health, functional limitation versus no functional limitation, smoker versus non-smoker, and Northeast versus West census region. In addition, Midwest versus West census region was a predictor in the pain–hypertension group, and 4 versus ≥5 chronic conditions was a predictor in the pain–hypercholesterolemia group. In conclusion, several characteristics of older U.S. adults with pain and comorbid hypertension or hypercholesterolemia were predictive of opioid use. These characteristics could be addressed to optimize individuals’ pain management and help address the opioid overdose epidemic.

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