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This mixed-methods randomized controlled trial study, conducted in collaboration with three Dane County (Wisconsin) law enforcement agencies, compared the effects of an 8-week mindfulness training (MT) program relative to a waitlist control (WLC) group on biological, behavioral, and self-report measures of stress and stress-related health outcomes. Across a two-year data collection period, the research team randomly assigned 114 sworn law enforcement officers to MT or WLC groups. Across three timepoints (baseline, post-program, and 3-month follow-up), researchers assessed the impact of MT on perceived stress (Aim 1), physical and mental health outcomes including behaviorally assessed and self-reported sleep quality, cardiovascular risk factors, and symptoms of PTSD, anxiety, and depression (Aim 2), and stress-related biological and behavioral markers (Aim 3), including cortisol output and a behavioral assay of hippocampus function. Data collected as part of this study include quantitative measures obtained during laboratory visits and a week of field data collection, as well as optional semi-structured qualitative interview data.

This collection currently contains the following file types available in zipped package format. Excluding changes made for confidentiality purposes, files have been released as they were received by ICPSR:

• Summary data: Master data file (nij_masterfile.csv) containing demographics, summed scores from self-report questionnaires, behavioral markers, biomarkers, and mindfulness practice logs; Fitbit activity, heart rate, and sleep data (nij_fitbitSummary.csv); saliva sample collection data (nij_salivaCollectionNotes.csv, nij_salivaQCSpreadsheet.xlsx, nij_salivaryCortCleaned.csv, nij_salivaryCortProcessed.csv, nij_salivaryCortRaw.csv); work event log data (nij_workEventsRaw.xlsx)
• Raw behavioral data files: for all timepoints, affective go/no-go task data (agnRaw) and mnemonic similarity task data (mstRaw)
• Summary behavioral data files (agnSummary): for all timepoints, affective go/no-go task data
• Raw Fitbit data files (fitbitRaw): activity/steps, heart rate, and sleep data for all timepoints
• Scripts: R, Python, and bash scripts, with readme files, that were used in biomarker and behavioral marker data cleaning/analysis

Qualitative interview data and documentation are not available at this time.

The Los Angeles Metropolitan Area Studies [LAMAS] 6, 1973 collection reflects data gathered in 1973 as part of the Los Angeles Metropolitan Area Studies (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy.

The LAMAS instruments, indexes, and scales used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this year of the LAMAS cover respondents' attitudes toward the following topics: air pollution, health care services in the community, local government politics, police relations, recreation and leisure time. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics include: sleep habits, the true self, impact of computers, job seeking behavior, and mental health and psychological factors.

Demographic variables in this collection include sex, age, race, ethnicity, education, occupation, income, religion, marital status, birth place, and housing type.

The National Health and Nutrition Examination Surveys (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The NHANES combines personal interviews and physical examinations, which focus on different population groups or health topics. These surveys have been conducted by the National Center for Health Statistics (NCHS) on a periodic basis from 1971 to 1994. In 1999 the NHANES became a continuous program with a changing focus on a variety of health and nutrition measurements which were designed to meet current and emerging concerns. The surveys examine a nationally representative sample of approximately 5,000 persons each year. These persons are located in counties across the United States, 15 of which are visited each year.

For NHANES 2003-2004, there were 12,761 persons selected for the sample, 10,122 of those were interviewed (79.3 percent) and 9,643 (75.6 percent) were examined in the mobile examination centers (MEC). Many of the NHANES 2003-2004 questions were also asked in NHANES II 1976-1980, Hispanic HANES 1982-1984, NHANES III 1988-1994, and NHANES 1999-2002. New questions were added to the survey based on recommendations from survey collaborators, NCHS staff, and other interagency work groups. As in past health examination surveys, data were collected on the prevalence of chronic conditions in the population. Estimates for previously undiagnosed conditions, as well as those known to and reported by survey respondents, are produced through the survey. Risk factors, those aspects of a person's lifestyle, constitution, heredity, or environment that may increase the chances of developing a certain disease or condition, were examined. Data on smoking, alcohol consumption, sexual practices, drug use, physical fitness and activity, weight, and dietary intake were collected. Information on certain aspects of reproductive health, such as use of oral contraceptives and breastfeeding practices, were also collected. The diseases, medical conditions, and health indicators that were studied include: anemia, cardiovascular disease, diabetes and lower extremity disease, environmental exposures, equilibrium, hearing loss, infectious diseases and immunization, kidney disease, mental health and cognitive functioning, nutrition, obesity, oral health, osteoporosis, physical fitness and physical functioning, reproductive history and sexual behavior, respiratory disease (asthma, chronic bronchitis, emphysema), sexually transmitted diseases, skin diseases, and vision. The sample for the survey was selected to represent the United States population of all ages. Special emphasis in the 2003-2004 NHANES was on adolescent health and the health of older Americans. To produce reliable statistics for these groups, adolescents aged 15-19 years and persons aged 60 years and older were over-sampled for the survey. African Americans and Mexican Americans were also over-sampled to enable accurate estimates for these groups. Several important areas in adolescent health, including nutrition and fitness and other aspects of growth and development, were addressed. Since the United States has experienced dramatic growth in the number of older people during the twentieth century, the aging population has major implications for health care needs, public policy, and research priorities. NCHS is working with public health agencies to increase the knowledge of the health status of older Americans. NHANES has a primary role in this endeavor. In the examination, all participants visit the physician who takes their pulse or blood pressure. Dietary interviews and body measurements are included for everyone. All but the very young have a blood sample taken and see the dentist. Depending upon the age of the participant, the rest of the examination includes tests and procedures to assess the various aspects of health listed above. Usually, the older the individual, the more extensive the examination. Some persons who are unable or unwilling to come to the examination center may be given a less extensive examination in their homes.

Demographic data file variables are grouped into three broad categories: (1) Status Variables: provide core information on the survey participant. Examples of the core variables include interview status, examination status, and sequence number. (Sequence number is a unique ID assigned to each sample person and is required to match the information on this demographic file to the rest of the NHANES 2003-2004 data). (2) Recoded Demographic Variables: these variables include age (age in months for persons through age 19 years, 11 months; age in years for 1- to 84-year-olds, and a top-coded age group of 85 years of age and older), gender, a race/ethnicity variable, current or highest grade of education completed, (less than high school, high school, and more than high school education), country of birth (United States, Mexico, or other foreign born), Poverty Income Ratio (PIR), income, and a pregnancy status variable (adjudicated from various pregnancy related variables). Some of the groupings were made due to limited sample sizes for the two-year data set. (3) Interview and Examination Sample Weight Variables: sample weights are available for analyzing NHANES 2003-2004 data. For a complete listing of survey contents for all years of the NHANES see the document -- Survey Content -- NHANES 1999-2010.

Objective

A significant number of patients with unexplained chest pain (UCP) have panic disorder (PD), and most individuals with panic disorder (PD) report poor sleep, including insomnia and nocturnal panic attacks (NPA). The objective of the study was to examine the impact of treatment for PD on sleep problems and to assess the influence of pre-treatment insomnia on post-treatment persistence of PD diagnosis and pain severity.

Methods

Secondary analyses were conducted on sleep data collected from 42 PD patients consulting emergency departments (ED) for UCP. In this quasi-experimental design, cohorts of participants were randomly assigned to one of four conditions: (1) seven sessions of cognitive-behavior therapy (CBT) for PD, (2) a one-session panic management intervention, (3) pharmacotherapy, or (4) usual care. Data from clinical interviews performed by trained assistants and from self-report questionnaires were collected before and after treatment. Results after treatment, 35 percent of participants still met the diagnostic criteria for insomnia, and 20 percent of the sample still reported NPA. The presence of insomnia was a predictor of post-treatment pain severity (B = 1.336, SE B = .483, p = .009), regardless of the severity of pre-treatment anxiety and depressive symptoms or of assignation to an active PD treatment.

Conclusions

Treatment for PD had a small effect on sleep, and residual sleep difficulties persisted after treatment. More importantly, the presence of insomnia was a significant predictor of persistent pain after treatment. The results highlight the importance of careful assessment of sleep before and during treatment for PD in UCP patients.