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December 2016
Agency for Healthcare Research and Quality
Center for Financing, Access, and Cost Trends
5600 Fishers Lane
Rockville, MD 20857
(301) 427-1406
Table of Contents
A. Data Use Agreement
B. Background
1.0 Household Component
2.0 Medical Provider Component
3.0 Survey Management and Data Collection
C. Technical and Programming Information
1.0 General Information
2.0 Data File Information
2.1 Codebook Structure
2.2 Reserved Codes
2.3 Codebook Format
2.4 Variable Naming
2.5 File Contents
2.5.1 2014 Preventive Care Self-Administered Questionnaire (PSAQ)
2.5.2 Survey Administration Variables (DUID-PANEL, COMMM-LANGUAGE)
2.5.3 Demographic Variables (PSAQAGE, AGE53X, SEX)
2.5.4 Preventive Care Variables (COLONCR-BNDENSTY)
2.5.5 Body Mass Index
2.6 Linking to Other Files
2.6.1 Person-Level Files
2.6.2 National Health Interview Survey
2.6.3 Longitudinal Analysis
3.0 Survey Sample Information
3.1 Sample Design
3.2 Response Rates
3.3 Weighting for the PSAQ Sample
D. Variable-Source Crosswalk
Individual identifiers have been removed from the
micro-data contained in these files. Nevertheless, under sections 308 (d) and
903 (c) of the Public Health Service Act (42 U.S.C. 242m and 42 U.S.C. 299 a-1),
data collected by the Agency for Healthcare Research and Quality (AHRQ) and/or
the National Center for Health Statistics (NCHS) may not be used for any purpose
other than for the purpose for which they were supplied; any effort to determine
the identity of any reported cases is prohibited by law.
Therefore in accordance with the above referenced
Federal Statute, it is understood that:
- No one is to use the data in this data set in any way except for statistical reporting and analysis; and
- If the identity of any person or establishment should be discovered inadvertently, then (a) no use will be made of this knowledge, (b) the Director Office of Management AHRQ will be advised of this incident, (c) the information that would identify any individual or establishment will be safeguarded or destroyed, as requested by AHRQ, and (d) no one else will be informed of the discovered identity; and
- No one will attempt to link this data set with individually identifiable records from any data sets other than the Medical Expenditure Panel Survey or the National Health Interview Survey.
By using these data you signify your agreement to
comply with the above stated statutorily based requirements with the knowledge
that deliberately making a false statement in any matter within the jurisdiction
of any department or agency of the Federal Government violates Title 18 part 1
Chapter 47 Section 1001 and is punishable by a fine of up to $10,000 or up to 5
years in prison.
The Agency for Healthcare Research and Quality
requests that users cite AHRQ and the Medical Expenditure Panel Survey as the
data source in any publications or research based upon these data.
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The Medical Expenditure Panel Survey (MEPS) provides
nationally representative estimates of health care use, expenditures, sources of
payment, and health insurance coverage for the U.S. civilian
noninstitutionalized population. The MEPS Household Component (HC) also provides
estimates of respondents’ health status, demographic and socio-economic
characteristics, employment, access to care, and satisfaction with health care.
Estimates can be produced for individuals, families, and selected population
subgroups. The panel design of the survey, which includes 5 Rounds of interviews
covering 2 full calendar years, provides data for examining person level changes
in selected variables such as expenditures, health insurance coverage, and
health status. Using computer assisted personal interviewing (CAPI) technology,
information about each household member is collected, and the survey builds on
this information from interview to interview. All data for a sampled household
are reported by a single household respondent.
The MEPS-HC was initiated in 1996. Each year a new
panel of sample households is selected. Because the data collected are
comparable to those from earlier medical expenditure surveys conducted in 1977
and 1987, it is possible to analyze long-term trends. Each annual MEPS-HC sample
size is about 15,000 households. Data can be analyzed at either the person or
event level. Data must be weighted to produce national estimates.
The set of households selected for each panel of the
MEPS HC is a subsample of households participating in the previous year’s
National Health Interview Survey (NHIS) conducted by the National Center for
Health Statistics. The NHIS sampling frame provides a nationally representative
sample of the U.S. civilian noninstitutionalized population and reflects an
oversample of Blacks and Hispanics. In 2006, the NHIS implemented a new sample
design, which included Asian persons in addition to households with Black and
Hispanic persons in the oversampling of minority populations. The linkage of the
MEPS to the previous year’s NHIS provides additional data for longitudinal
analytic purposes.
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Upon completion of the household CAPI interview and
obtaining permission from the household survey respondents, a sample of medical
providers are contacted by telephone to obtain information that household
respondents can not accurately provide. This part of the MEPS is called the
Medical Provider Component (MPC) and information is collected on dates of
visits, diagnosis and procedure codes, charges and payments. The Pharmacy
Component (PC), a subcomponent of the MPC, does not collect charges or diagnosis
and procedure codes but does collect drug detail information, including National
Drug Code (NDC) and medicine name, as well as date filled and sources and
amounts of payment. The MPC is not designed to yield national estimates. It is
primarily used as an imputation source to supplement/replace household reported
expenditure information.
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MEPS HC and MPC data are collected under the authority
of the Public Health Service Act. Data are collected under contract with Westat,
Inc. (MEPS HC) and Research Triangle Institute (MEPS MPC). Data sets and summary
statistics are edited and published in accordance with the confidentiality
provisions of the Public Health Service Act and the Privacy Act. The National
Center for Health statistics (NCHS) provides consultation and technical
assistance.
As soon as data collection and editing are completed,
the MEPS survey data are released to the public in staged releases of summary
reports, micro data files, and tables via the MEPS Web site:
meps.ahrq.gov. Selected data can be
analyzed through MEPSnet, an on-line interactive tool designed to give data
users the capability to statistically analyze MEPS data in a menu-driven
environment.
Additional information on MEPS is available from the
MEPS project manager or the MEPS public use data manager at the Center for
Financing, Access, and Cost Trends, Agency for Healthcare Research and Quality,
5600 Fishers Lane Rockville, MD 20857 (301-427-1406).
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This documentation describes the 2014 full-year data
file from the Medical Expenditure Panel Survey Household Component (MEPS HC)
Preventive Care Services Self-Administered Questionnaire (PSAQ). Released as an
ASCII file (with related SAS, SPSS, and Stata programming statements and data
user information) and a SAS transport dataset, this public use file provides
information collected on a nationally representative sample of the civilian
noninstitutionalized population of the United States aged 35 and older for
calendar year 2014. The file contains 50 variables and has a logical record
length of 126 with an additional 2-byte carriage return/line feed at the end of
each record.
This file consists of MEPS survey data obtained in
Round 5 of MEPS Panel 18.
The following documentation offers a brief overview of
the types and levels of data provided, content and structure of the files, and
programming information. It contains the following sections:
- Data File Information
- Survey Sample Information
- Variable-Source Crosswalk
Both weighted and unweighted frequencies of most
variables included in the 2014 full-year PSAQ data file are provided in the
accompanying codebook file. The exceptions to this are the weight variable and
variance estimation variables. Only unweighted frequencies of these variables
are included in the accompanying codebook file.
A database of all MEPS products released to date and a
variable locator indicating the major MEPS data items on public use files that
have been released to date can be found at the following link on the MEPS Web
site: meps.ahrq.gov.
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This public use dataset contains variables and
frequency distributions associated with 2,185 persons who responded to the MEPS
Household Component of the Medical Expenditure Panel Survey, Preventive Care
Self-Administered Questionnaire for the 2014 data year.
These 2,185 persons were part of the MEPS Panel 18, for
whom Round 5 data were collected in early 2015.
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The codebook and data file sequence lists variables in
the following order:
- Unique person identifiers and survey administration variables
- Demographic variables
- Preventive health variables
- Survey sample information
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The following reserved code values are used:
| Value |
Definition |
| Name |
Variable name (maximum of 8 characters) |
| -1 INAPPLICABLE |
Question was not asked due to skip pattern |
| -7 REFUSED |
Question was asked and respondent refused to answer question |
| -8 DK |
Question was asked and respondent did not know answer |
| -9 NOT ASCERTAINED |
Respondent did not record the data |
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This codebook describes an ASCII data set and provides
the following programming identifiers for each variable:
| Identifier |
Description |
| Name |
Variable name (maximum of 8 characters) |
| Description |
Variable descriptor (maximum of 40 characters) |
| Format |
Number of bytes |
| Type |
Type of data: numeric (indicated by NUM) or character (indicated by CHAR) |
| Start |
Beginning column position of variable in record |
| End |
Ending column position of variable in record |
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In general, variable names reflect the content of the variable, with an eight-character limitation.
Variables contained in this delivery were derived
either from the questionnaire itself or from the CAPI. The source of each
variable is identified in the section of the documentation entitled “Section D.
Variable-Source Crosswalk.” Sources for each variable are indicated in one of
four ways: (1) variables derived from CAPI or assigned in sampling are so
indicated; (2) variables derived from complex algorithms; (3) variables that are
collected by one or more specific questions in the instrument have those
question numbers listed in the Source column; and (4) variables constructed from
multiple questions using complex algorithms are labeled “Constructed.”
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Users of MEPS data should be aware that the survey
collects data for all sample persons who were in the survey target population at
any time during the survey period. In other words, a small proportion of
individuals in MEPS analytic files are not members of the survey target
population (i.e., civilian noninstitutionalized) for the entire survey period.
These persons include those who had periods during which they lived in an
institution (e.g., nursing home or prison), were in the military, or lived out
of the country, as well as those who were born (or adopted) into MEPS sample
households or died during the year. They are considered sample persons for the
survey and are included in MEPS data files with positive person weights, but no
data were collected for the periods they were not in-scope and their annual data
for variables like health care utilization, expenditures, and insurance coverage
reflect only the part of the year they were in-scope for the survey. Persons who
are in-scope for only part of the year should not be confused with
non-respondents. Sample persons who are classified as non-respondents to one or
more rounds of data collection (i.e., initial non-respondents and drop outs over
time) are not included in MEPS annual files, and survey weights for full-year
respondents are inflated through statistical adjustment procedures to compensate
for both full and part-year nonresponse. For more details about the
identification and analytic considerations regarding sample persons who are
in-scope only part of the year, see
meps.ahrq.gov/about_meps/hc_sample.shtml.
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The 2014 Preventive Care Self-Administered
Questionnaire (PSAQ), a paper-and-pencil questionnaire, was fielded during Panel
18 Round 5 of the 2014 Medical Expenditure Panel Survey (MEPS).
The survey was designed to collect a variety of
person-level preventive health care data for adults. A sample of adults age 35
and older as of the Round 5 interview date (AGE53X >= 35) in MEPS households
were asked to complete a PSAQ. The questionnaires were administered in early
2015. Therefore, some responses include data relevant to early 2015. The time period asked about in each question is included in the variable descriptions in Section D: Variable-Source Crosswalk.
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The survey administration variables contain
identifiers at the person and dwelling unit (DU) levels. The variable PANEL
indicates the panel in which the person participated.
The month and year the PSAQ was completed are
indicated by the variables COMMM and COMYYYY, respectively. The variable COMMM demonstrates that the surveys were completed in January through May of 2015. Use the value of COMMM to aid in analysis of variables with set time periods.
Dwelling Units and Persons
The definitions of Dwelling Units (DUs) in the MEPS
Household Survey are generally consistent with the definitions employed for the
National Health Interview Survey (NHIS). The Dwelling Unit ID (DUID) is a
five-digit random ID number assigned after the case was sampled for MEPS. A
person number (PID) uniquely identifies each person within the DU. The variable
DUPERSID is the combination of the variables DUID and PID.
PANEL is a constructed variable used to specify the
panel number for the person. PANEL will indicate Panel 18 for each person on the
file. Panel 18 is the panel that started in 2013.
Language of Interview
The language in which the PSAQ was completed is
indicated by the variable LANUAGE. If the English version of the PSAQ was
completed, LANGUAGE was coded 1 (English). If the Spanish version was completed,
LANGUAGE was coded 2 (Spanish).
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General Information
Demographic variables provide information about the
demographic characteristics of each person from the MEPS PSAQ.
All data in this PUF are from Panel 18, Round 5.
Age
There are two age variables on this file: PSAQAGE from
the PSAQ, and AGE53X from the CAPI instrument. Date of birth (DOBMM, DOBYY) and
age for each PSAQ respondent were verified during each MEPS interview. For
purposes of confidentiality, the variables PSAQAGE and AGE53X were top-coded at
85 years. Please refer to the 2014 Full Year Consolidated Data file’s
documentation for additional information about AGE53X, DOBMM, and DOBYY.
Sex
Data on the gender of each RU member (SEX) were
initially determined from the 2012 NHIS for Panel 18. The SEX variable was
verified and, if necessary, corrected during each MEPS interview. The data for
new RU members (persons who were not members of the RU at the time of the NHIS
interviews) were also obtained during each MEPS round. Please refer to the 2014
Full Year Consolidated Data file’s documentation for additional information
about the variable SEX.
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Editing of these variables focused on checking that skip patterns were consistent.
Questions were asked regarding the following conditions:
Cancer
COLONCR – have you had colon cancer or your entire colon removed > 49 years old
Gate question. When answered “Yes,” skipped COLONOSC, SIGMOID, and BLDSTOOL.
PROSCANC – have you had prostate cancer males only, > 49 years old
Gate question. When answered “Yes,” skipped AGEPSAT.
UTREMCVC – have you had a hysterectomy or have you ever had cervical cancer females only
BREASTRC – have you had both breasts removed or have you ever had breast cancer females only, > 49 years old
Osteoporosis
OSTEOPOR – have you been told by a doctor, nurse, or other health care professional that you have osteoporosis
females only, > 64 years old
Where these person-level condition variables were
missing, the variables were set to -9 (Not Ascertained) and subsequent questions that would be
skipped if these questions were not answered positively, were set to -1 (Not Applicable).
For each person, a series of questions was asked about
the receipt of preventive care or screening examinations. The list of preventive
care variables is as follows (bolding of time frames is added here for emphasis, this bolding was not in the questionnaire):
MEDVISIT – how long since you visited a doctor or
nurse for a check-up, follow-up care, ongoing problem, or concern about your
health
FLUSHOT – have you had a flu shot (in the arm or skin)
or vaccine (sprayed in the nose) during the past 12 months
WEIGHED – have you been weighed by a doctor, nurse, or
other health care professional in the past 12 months
WGTLOSS – has a doctor or other health professional
advised you how to manage weight, discussed weight loss goals, or referred you
to a weight loss program to help with diet and exercise in the past 12 months
DRINKALC – has a doctor, nurse, or other health
professional asked how much and how often you drink alcohol in the past 12 months
DRINK5 – have you had 5 or more drinks in one day in
the last 12 months; males only
DRINK4 – have you had 4 or more drinks in one day in
the last 12 months; females only
STOPALC – has a doctor, nurse, or other health care
professional advised you to cut back or stop drinking alcohol in the past 12 months
TOBACCO – has a doctor, nurse, or other health care
professional ever asked if you smoke or use tobacco
OFTTOBAC – on average, have you smoked cigarettes or
used tobacco every day, some days, or not at all in the last 12 months
Gate question. When answered “Not at all,” skipped QUITTBAC, QUITMEDS, QUITHELP.
QUITTBAC – were you advised by a doctor, nurse, or
other health care professional to quit smoking or using tobacco in the past 12 months
QUITMEDS – were you advised by a doctor, nurse, or
other health care professional to take a medication to assist you to quit
smoking or using tobacco, in the past 12 months
QUITHELP – has a doctor, nurse, or other health care
professional discussed or provided methods other than medication to assist you
to quit smoking or using tobacco, in the past 12 months
MOODQUEX – has a doctor, nurse, or other health care
professional asked you about your mood in the past 12 months
CHECKBP – have you had your blood pressure checked by
a doctor, nurse, or other health care professional in the past 24 months
CHECKCHL – have you had your blood cholesterol checked
by a doctor, nurse, or other health care professional in the past 5 years
HIVTEST – have you been tested for HIV, including
blood testing and/or testing fluid from your mouth in the past 5 years
PNEUSHOT – have you ever had a pneumonia shot
> 49 years old
SHINGLES – have you had the shingles vaccine
> 49 years old
NOASPRIN – is there a medical reason why you cannot take aspirin
> 49 years old
Gate question. When answered “Yes,” skipped DISASPRN.
DISASPRN – has a doctor, nurse, or other health care
professional ever discussed with you the use of aspirin to prevent heart attack or stroke
> 49 years old
COLONOSC – have you had a colonoscopy within the past 10 years
> 49 years old
SIGMOID – have you had a sigmoidoscopy in the past 5 years
> 49 years old
BLDSTOOL – have you had a blood stool test using a home kit in the past 12 months
> 49 years old
AGEPSAT – about how old were you the last time you had a PSA test
males only, > 49 years old
PAPTEST – have you had a Pap test in the past 5 years
females only
PAPAGE – how old were you the last time you had a Pap test
females only
MAMMGRAM – have you had a mammogram in the past 2 years
females only, > 49 years old
BNDENSTY – have you ever had your bone density measured
females only, > 64 years old
Where these preventive care variables were missing,
the variables were set to -9 (Not Ascertained) and subsequent questions that
would be skipped were set to -1 (Not Applicable).
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Beginning in 2001, due to confidentiality concerns and
restrictions, the height and weight variables were dropped from the Full-Year
file. For the same reasons, the height and weight variables (HGT_FT, HGT_IN,
WGT_LBS) will not be reported on this file. A Body Mass Index (BMI) variable,
PSAQBMIX, is calculated and included instead. To access information on the MEPS
Data Center including an application, please go to the following Web address:
meps.ahrq.gov/data_stats/onsite_datacenter.jsp.
Preventive care data from CAPI released on the 2014
Full Year Consolidated Data file were used to supplement PSAQ height and weight
data where the PSAQ data were missing or the values were anomalous:
- Height in feet (HGHTFT53)
- Height in inches (HGHTIN53)
- Weight (WEIGHT53)
Where the building block height in inches (INCH_HGT) or weight in pounds (WGT_LBS)
were missing, even after supplementing the PSAQ data with the CAPI data, BMI was
set to -9 (Not Ascertained).
BMI categories for adults are the following:
- Underweight = BMI is less than 18.5,
- Normal Weight = BMI is between 18.5 – 24.9 inclusive,
- Overweight = BMI is between 25.0 – 29.9 inclusive, and
- Obesity = BMI greater than or equal to 30.0
The following formula used to calculate the BMI for
adults was taken from the Centers for Disease Control and Prevention (www.cdc.gov)
Web site:
BMI = [Weight in Pounds / (Height in Inches)2] * 703
The steps used to calculate the BMI are as follows:
- Create the building block variable INCH_HGT, indicating
total height in inches.
- Create the BMI variable, PSAQBMIX, using the building block
and the weight variable, WGT_LBS, recoding all BMI > 999.9 to
-9 (Not Ascertained).
Adult height and weight were not top- or bottom-coded
prior to the construction of the adult BMI.
The building block variable INCH_HGT was calculated as
[(HGT_FT * 12) + (HGT_IN)] to indicate total adult height in inches. Note that
INCH_HGT was created for programming efficiency only and is not included in this
data release.
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Records on this file can be linked to the 2014 Full
Year Consolidated Data file by the sample person identifier (DUPERSID). The
Panel 18 cases on this file (PANEL=18) can also be linked back to the 2013 Full
Year Consolidated Data file.
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The set of households selected for MEPS is a subsample
of those participating in the National Health Interview Survey (NHIS), thus,
each MEPS panel can also be linked back to the previous year’s NHIS public use
data files. For information on obtaining MEPS/NHIS link files please see
meps.ahrq.gov/data_stats/more_info_download_data_files.jsp.
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Panel-specific longitudinal files are available for
downloading in the data section of the MEPS Web site. For each panel, the
longitudinal file comprises MEPS survey data obtained in Rounds 1 through 5 of
the panel and can be used to analyze changes over a two-year period. Variables
in the file pertaining to survey administration, demographics, employment,
health status, disability days, quality of care, patient satisfaction, health
insurance, and medical care use and expenditures were obtained from the MEPS
full-year Consolidated files from the two years covered by that panel.
For more details or to download the data files, please
see Longitudinal Weight Files at
meps.ahrq.gov/data_stats/more_info_download_data_files.jsp.
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The PSAQ study sample design had a number of features.
In terms of sample eligibility, the sample was selected from among those Panel
18 respondents satisfying the following three conditions: in-scope for MEPS on
December 31, 2013; received a MEPS 2013 full year person-level weight; and at
least 35 years of age on January 1, 2015.
Eight sample strata were employed, reflecting a
cross-classification of age and sex. Samples were selected independently within
the eight strata after sorting in a way that limited the chance that multiple members of the
same RU would be selected within the same stratum. Sample selection was
undertaken with probability proportionate to size (PPS) where the size measure
was the initial weight used in the development of the Panel 18, 2013 full year
individual panel weight. PPS sampling was employed to help reduce the sample
variability of PSAQ estimates that could arise due to the oversampling of
minorities for the full MEPS sample. The number of persons sampled for the PSAQ
was 2,888.
In terms of further details on sample allocation
across sample strata, there were four age groups of analytic interest to the
study: 35-49, 50-64, 65-74, and 75 or older
Age was determined as of January 1, 2015. Gender was
also of analytic interest with some questions focused strictly on males while
some others were strictly focused on females. Thus, eight strata were formed for
sampling purposes reflecting the cross-classification of sex by age group. The
final sample allocation scheme is shown below.
Table 1 Sample Allocation
| Age categories |
Sample Size Females |
Sample Size Males |
Total |
| 35 – 49 |
258 |
258 |
516 |
| 50 – 64 |
464 |
464 |
928 |
| 65 – 74 |
464 |
464 |
928 |
| 75 and older |
258 |
258 |
516 |
| Total |
1,444 |
1,444 |
2,888 |
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A summary of the unweighted response rates by age and gender is shown in Table 21. For females, the youngest age groups had the lowest
level of participation with a response rate of just under 79 percent. For males, the response rates for the two youngest age groups were noticeably lower than any of the other six groups while the two older age groups were roughly the same as that for the youngest female age group. Thus, overall, females as a group had a higher response rate (83.4 percent) when compared
to their male counterparts (75.0 percent).
Table 2 Unweighted Response Rates for the PSAQ
| Age Categories |
Eligible for
PSAQ Completion2
(females) |
Completed (females) |
Unweighted Response
Rate (females) |
Eligible for
PSAQ Completion2
(males) |
Completed (males) |
Unweighted Response
Rate (males) |
Unweighted Response
Rate (total) |
| 35-49 |
244 |
192 |
78.7 |
246 |
171 |
69.5 |
74.1 |
| 50-64 |
452 |
377 |
83.4 |
442 |
320 |
72.4 |
78.0 |
| 65-74 |
446 |
386 |
86.5 |
443 |
351 |
79.2 |
82.9 |
| 75 and older |
246 |
202 |
82.1 |
240 |
186 |
77.5 |
79.8 |
| Total |
1388 |
1157 |
83.4 |
1371 |
1028 |
75.0 |
79.2 |
1It should be noted that these rates do not reflect nonresponse to MEPS Rounds 4 or 5, or account for sampled persons who went out-of-scope after Round 3. However, those persons comprised a total of less than 5 percent of the Round 3 respondents initially sampled for the PSAQ.
2“Eligible for PSAQ completion” reflects an operational determination of who should have been asked to complete the PSAQ rather than who ultimately met the requirements of being a member of the target population for weighting purposes.
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The data weighting process for the PSAQ included:
assignment of a base weight (reflecting sample selection for MEPS, participation
in MEPS, and sample selection for the PSAQ); adjustment for nonresponse to MEPS
and then to PSAQ; and calibration to population control figures derived from
Current Population Survey (CPS) data. The number of PSAQ respondents receiving a sample weight was 2,185. Summing the weights assigned to these PSAQ respondents produces the total 170,400,202, an estimate of those 35 or older in the civilian, noninstitutionalized population on January 1, 2015, the target population for the PSAQ.
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PSAQ VARIABLES – PUBLIC USE
| VARIABLE |
DESCRIPTION |
SOURCE |
| DUID |
DWELLING UNIT ID |
Assigned in Sampling |
| PID |
PERSON NUMBER |
Assigned in Sampling
or by CAPI |
| DUPERSID |
PERSON ID (DUID + PID) |
Assigned in Sampling |
| PANEL |
PANEL NUMBER |
Constructed |
| AGE53X |
AGE – R5/3 (EDITED/IMPUTED) |
MEPS RE 12, 57-66 |
| DOBMM |
DATE OF BIRTH: MONTH |
PSAQ |
| DOBYY |
DATE OF BIRTH: YEAR |
PSAQ |
| SEX |
SEX |
PSAQ 1 |
| PSAQAGE |
PSAQ WHAT IS PERSON'S AGE |
PSAQ 2 |
| MEDVISIT |
PSAQ HOW LONG AGO WAS LAST DR VISIT |
PSAQ 3 |
| FLUSHOT |
PSAQ DID PERSON HAVE FLU VACCINE PAST YR |
PSAQ 4 |
| WEIGHED |
PSAQ WAS PERSON WEIGHED IN PAST YR |
PSAQ 5 |
| PSAQBMIX |
PSAQ BODY MASS INDEX CALCULATED |
Constructed |
| WGTLOSS |
PSAQ DID DR ADVISE WGHT LOSS IN PAST YR |
PSAQ 8 |
| DRINKALC |
PSAQ DID DR ASK ABOUT ALCOHOL PAST YR |
PSAQ 9 |
| DRINK5 |
PSAQ HAD 5+ DRINKS PER DAY IN PAST YR |
PSAQ 10, males |
| DRINK4 |
PSAQ HAD 4+ DRINKS PER DAY IN PAST YR |
PSAQ 10, females |
| STOPALC |
PSAQ DID DR ADVISE DRINK LESS IN PAST YR |
PSAQ 11 |
| TOBACCO |
PSAQ DID DR ASK ABOUT SMOKING |
PSAQ 12 |
| OFTTOBAC |
PSAQ HOW OFTEN DID YOU SMOKE IN PAST YR |
PSAQ 13 |
| QUITTBAC |
PSAQ DID DR ADVISE SMOKE LESS IN PAST YR |
PSAQ 14 |
| QUITMEDS |
PSAQ DID DR ADVSE MED QUIT SMKNG PAST YR |
PSAQ 15 |
| QUITHELP |
PSAQ DR ADVSE OTH WAY QUIT SMKNG PAST YR |
PSAQ 16 |
| MOODQUEX |
PSAQ DID DR ASK ANXIOUS/DEPRSSED PAST YR |
PSAQ 17 |
| CHECKBP |
PSAQ DID DR CHECK BP PAST 2 YRS |
PSAQ 18 |
| CHECKCHL |
PSAQ DID DR CHECK CHOLESTEROL PAST 5 YRS |
PSAQ 19 |
| HIVTEST |
PSAQ DID DR TEST FOR HIV IN PAST 5 YRS |
PSAQ 20, males; PSAQ 23, females |
| PNEUSHOT |
PSAQ HAVE YOU EVER HAD PNEUMONIA SHOT |
PSAQ 21, males; PSAQ 24, females |
| SHINGLES |
PSAQ HAVE YOU EVER HAD SHINGLES VACCINE |
PSAQ 22, males; PSAQ 25, females |
| NOASPRIN |
PSAQ CANT TAKE ASPRIN FOR MEDICAL REASON |
PSAQ 23, males; PSAQ 26, females |
| DISASPRN |
PSAQ DR DISCUSS ASPIRIN PREVENTIVE USE |
PSAQ 24, males; PSAQ 27, females |
| COLONCR |
PSAQ HAD COLON CANCER OR COLON REMOVED |
PSAQ 25, males; PSAQ 30, females |
| COLONOSC |
PSAQ HAD COLONOSCOPY IN PAST 10 YRS |
PSAQ 26, males; PSAQ 31, females |
| SIGMOID |
PSAQ HAD SIGMOIDOSCOPY IN PAST 5 YRS |
PSAQ 27, males PSAQ 32, females |
| BLDSTOOL |
PSAQ AT-HOME BLOOD STOOL TEST IN PAST YR |
PSAQ 28, males PSAQ 33, females |
| PROSCANC |
PSAQ HAS PERSON HAD PROSTATE CANCER |
PSAQ 29, males |
| AGEPSAT |
PSAQ PERSON'S AGE AT LAST PSA TEST |
PSAQ 30, males |
| UTREMCVC |
PSAQ HAD HYSTERECTOMY OR CERVICAL CANCER |
PSAQ 20, females |
| PAPTEST |
PSAQ HAD PAP SMEAR WITHIN PAST 5 YEARS |
PSAQ 21, females |
| PAPAGE |
PSAQ WHAT AGE WAS PERSON LAST PAP SMEAR |
PSAQ 22, females |
| BREASTRC |
PSAQ HAD BREASTS REMOVED/BREAST CANCER |
PSAQ 28, females |
| MAMMGRAM |
PSAQ HAD MAMMOGRAM IN PAST 2 YRS |
PSAQ 29, females |
| OSTEOPOR |
PSAQ DID DR DX PERSON WITH OSTEOPOROSIS |
PSAQ 34, females |
| BNDENSTY |
PSAQ DID PERSON HAVE BONE DENSITY SCAN |
PSAQ 35, females |
| COMMM |
PSAQ COMPLETION DATE MONTH |
PSAQ |
| COMYYYY |
PSAQ COMPLETION DATE YEAR |
PSAQ |
| LANGUAGE |
PSAQ LANGUAGE OF SURVEY |
PSAQ |
| PSAQWT |
PSAQ PANEL 18 FINAL WEIGHT |
Constructed |
| VARSTR |
VARIANCE ESTIMATION STRATUM |
Constructed |
| VARPSU |
VARIANCE ESTIMATION PSU |
Constructed |
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