Developing Sampling Weights for Statistical Analysis of Parent-Child Pair Data From the National Health Interview Survey.

The National Health Interview Survey (NHIS), conducted by the National Center for Health Statistics since 1957, is the principal source of information on the health of the U.S. civilian noninstitutionalized population. NHIS selects one adult (Sample Adult) and, when applicable, one child (Sample Child) randomly within a family (through 2018) or a household (2019 and forward). Sampling weights for the separate analysis of data from Sample Adults and Sample Children are provided annually by the National Center for Health Statistics. A growing interest in analysis of parent-child pair data using NHIS has been observed, which necessitated the development of appropriate analytic weights. Objective This report explains how dyad weights were created such that data users can analyze NHIS data from both Sample Children and their mothers or fathers, respectively. Methods Using data from the 2019 NHIS, adult-child pair-level sampling weights were developed by combining each pair's conditional selection probability with their household-level sampling weight. The calculated pair weights were then adjusted for pair-level nonresponse, and large sampling weights were trimmed at the 99th percentile of the derived sampling weights. Examples of analyzing parent-child pair data by means of domain estimation methods (that is, statistical analysis for subpopulations or subgroups) are included in this report. Conclusions The National Center for Health Statistics has created dyad or pair weights that can be used for studies using parent-child pairs in NHIS. This method could potentially be adapted to other surveys with similar sampling design and statistical needs.

Sample Design and Estimation Structures for the National Health Interview Survey, 2016-2025.

This report presents operating characteristics of the NHIS 2016-2025 sample design. The general sampling structure is presented, along with a discussion of weighting and variance estimation techniques primarily for 2016-2018. This report is organized into four major sections. The first section presents a general overview of NHIS and its sample design. The second section describes the redesign process, updates for 2016-2025, and includes general frame and sample design considerations. The third section provides a more detailed description of the sample design and how the sample was selected. The last two sections present a description of the estimators used in NHIS for analyzing and summarizing survey results. Documentation for subsequent changes to the sampling and weighting procedures is available on the NCHS website as separate reports and through each year's survey description document. This report is intended for general users of NHIS data.

Back, Lower Limb, and Upper Limb Pain Among U.S. Adults, 2019.

Location-specific pain, such as back, neck, arm, and hip pain is associated with short- and long-term health effects, ranging from minor discomfort to musculoskeletal impairment (1), diminished quality of life (2), and escalating health care costs (3). Existing studies of location-specific pain are mostly limited to small or special populations with limited generalizability (4-6). This report provides national estimates of any pain regardless of body region as well as estimates of back, lower limb (hips, knees, or feet), and upper limb (hands, arms, or shoulders) pain in the past 3 months among U.S. adults aged 18 and over by selected sociodemographic characteristics.

Prescription Opioid Use Among Adults With Chronic Pain: United States, 2019.

Objective-This report presents prevalence estimates of prescription opioid use among U.S. adults with chronic pain.

Correlates of exposure to potentially traumatic experiences: Results from a national household survey.

OBJECTIVE: Prior studies have indicated that exposure to potentially traumatic events (PTEs) may increase the risk of poor mental and physical health outcomes. This study's main goal is to examine the association between PTE exposures and having any past year mental disorder, substance use disorder (SUD), or functional impairment and to explore the moderating effects of age and gender on these associations in a nationally representative sample of civilian adults living in U.S. households. METHOD: The sample included adults aged 18 or older (n = 5,653) from the 2008-2012 Mental Health Surveillance Study. RESULTS: PTE exposure was significantly associated with having any past year mental disorder and any past year SUD (odds ratio [OR] = 1.85, 95% CI [1.48, 2.32] and OR = 1.59, 95% CI [1.16, 2.18], respectively), as well as lower functioning scores as measured by the abbreviated World Health Organization Disability Assessment Schedule (WHODAS) and the Global Assessment of Functioning scale in models adjusted for sociodemographic characteristics. A single significant interaction (p = .002) indicated that the magnitude of the PTE exposure-WHODAS-measured functional impairment association was stronger among females than males. CONCLUSIONS: These findings from a nationally representative study of civilian adults living in U.S. households suggest that PTE exposure may have significant public health implications beyond those associated with the development of posttraumatic stress disorder. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Which mental disorders are associated with the greatest impairment in functioning?

OBJECTIVE: The objective of this study is to estimate the comparative associations of mental disorders with three measures of functional impairment: the Global Assessment of Functioning (GAF); the number of days in the past 12 months of total inability to work or carry out normal activities because of emotions, nerves, or mental health (i.e., days out of role); and a modified version of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). METHODS: Secondary data analysis of the linked Mental Health Surveillance Study and the National Survey on Drug Use and Health (n = 5653), nationally representative population surveys conducted in the United States. Generalized linear models assessed the independent effects of mental disorders on each measure of functional impairment, controlling for mental disorder comorbidity, physical health disorders, and sociodemographic factors. RESULTS: The results varied across measures of functional impairment. However, mood disorders generally tended to be associated with the greatest functional impairment, anxiety disorders with intermediate impairment, and substance use disorders with the least impairment. All 15 disorders were significantly associated with the GAF score in multiple regression models, eight disorders were significantly associated with the WHODAS score, and three disorders were significantly associated with days out of role. CONCLUSIONS: Our results highlight the value of complementary measures of functional impairment.

Comorbid mental disorders among adults in the mental health surveillance survey.

PURPOSE: To examine the prevalence and correlates of mental disorder comorbidity in the adult U.S. household population. METHODS: Data are from a nationally representative sample of noninstitutionalized, civilian adults aged 18 years or older (n = 5653) who participated in the 2008-2012 Mental Health Surveillance Study. Mental disorders, including substance use disorders, were assessed by clinical interviewers using a semistructured diagnostic instrument. Analyses examined co-occurrence of mental disorders and associations with sociodemographic, functional impairment, and treatment correlates. RESULTS: Approximately one-third of adults (31.1%, or more than 15 million) with a past-year mental disorder had a co-occurring mental disorder. Correlates of comorbidity in adjusted models included being of young age, being of non-Hispanic white race/ethnicity, having low family income, and living in a large metropolitan area. Adults with comorbid mental disorders had lower mean levels of functioning and were more likely to report past-year treatment than adults with a single disorder; they also had higher estimates of past-year perceived unmet need for care (21.7% vs. 11.6%, P < .01). CONCLUSIONS: About one in three adults with a mental disorder have a co-occurring mental disorder. Elucidating factors associated with co-occurrence may lend clues to shared etiologies, help improve prevention efforts, facilitate early identification, and improve treatment regimens.

Prevalence of serious mental illness among parents in the United States: results from the National Survey of Drug Use and Health, 2008-2014.

PURPOSE: This brief research report presents findings from a US national household survey on the number and percentage of parents with mental illness. METHODS: Using combined annual data from the 2008-2014 National Survey on Drug Use and Health, parents were defined as having children in the household from birth to 18 years. Prediction models developed in an earlier clinical study using a National Survey on Drug Use and Health subsample were used to estimate serious mental illness (SMI). RESULTS: A total of 2.7 million parents (3.8%) had a SMI in the past year and 12.8 million parents (18.2%) had any mental illness in the past year. Mental illness was more common among mothers than fathers and least common among Asians compared with other races. SMI was less prevalent in parents who were aged 50 years and older compared with younger age groups. CONCLUSIONS: The burden of mental illness in parents is high in the United States, especially among mothers. Physicians who treat parents should routinely screen for mental illness and discuss its implications for parenting.