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Query Results for New Jersey Behavioral Risk Factor Survey Data - Arthritis History, Age-adjusted

Query Result Page Options

This option remembers your currently selected filtering criteria and display options and applies (

Restrictions/conditions:

  • This features only effects queryable datasets loaded after the apply criteria feature is enabled.
  • When a new queryable dataset is loaded, this features does NOT clean/clear any of that dataset's default selected values - it simply supplements the newly loaded dataset's selections with those values captured when the apply criteria feature was enabled.
  • When in the builder interface you can override and make additional changes (select or deselect).
  • Changes made in the builder interface are not automatically saved to the enabled apply criteria definition. However, once you have a result you can reapply the current critera by using this dialog and pressing the "Reapply" button. If you do not see this button then the apply criteria feature has not been enabled.
  • Selections are applied according to what selections are available within that given queryable dataset. For example if your apply criteria is set for years 1999-2015 and the dataset does not have 1999 then only years 2000-2015 will be selected.
  • This feature is available immediately and does not require any user login account. However, if you wish to save this definition you will need to have either a free self registered user account or a secure DOH account and be logged in to be able to save your definitions.
  • TURNING OFF: These selections will remain in effect for the length of your current session on this site. It is turned off by pressing the "Clear" button.
  • TECHNICAL NOTE: The selection's internal dimension names and values MUST match. In some instances a value's title shown to the user will look the same as the dataset's but it is stored internally with a different name or value so they do not match and thus will not be selected. As an end user there is nothing that can be done about this situation because this is something the dataset author must setup. If you see something like this please contact us and report this issue.
) to all subseqent dataset query requests. This feature can help you save time and be consistent by automatically applying your defined selections to other queryable datasets you open.

One Example:

Doing studies on different datasets like you want to look at different survey datasets for hispanic females for years 2015-2018. You want to always display a county choropleth map and a horizontal bar chart. You make those initial selections, submit your selections, enable this apply criteria feature. From then on, those selections are automatically applied (as much as possible) to all subsequent queryable datasets you open.

Query Criteria

Measure Description:Proportion of adults with a history of arthritis
Percentage with a history of arthritis Filter: Arthritis
Year Filter: 2023
Data Grouped By:Year

Data Notes

  • {{style font-size:120% Outcome Measure}} [[br]] {{style font-size:120% Question Wording}} [[br]] Has a doctor, nurse, or other health professional EVER told you that you have some form of arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia? [[br]] Interviewer Note (2011-2020 only): Arthritis diagnoses include: rheumatism, polymyalgia rheumatica; osteoarthritis (not osteporosis); tendonitis, bursitis, bunion, tennis elbow; carpal tunnel syndrome, tarsal tunnel syndrome; joint infection, etc. [[br]] [[br]] {{style font-size:120% Related Health Indicators and Objectives}} [[br]] [http://www.cdc.gov/cdi/indicator-definitions/arthritis.html Arthritis among adults aged >= 18 years] (CDC Chronic Disease Indicator) [[br]] [[br]]

  • {{style font-size:120% Statistical Considerations}} [[br]] {{style font-size:120% Missing Values}} [[br]] Rows for "unknown" data are not shown but the values in those rows are included in the totals. [[br]][[br]] {{style font-size:120% Weighted Estimates}} [[br]] The estimated percentages reported above have been produced by weighting the sample so that the results better represent the New Jersey adult population and to adjust for the probability of selection. The sample sizes reported in the table are unweighted. Estimates calculated using the unweighted sample sizes will not be accurate. [[br]][[br]] {{style font-size:120% Denominator}} [[br]] Unless otherwise indicated, the denominator used for the calculation of these estimates includes all survey respondents except those with missing, don't know, and refused answers. (If the query was limited to a particular sub-population-group, only those respondents are included in the denominator.) [[br]][[br]] {{style font-size:120% Statistical Reliability}} [[br]] The margin of error (MOE) is calculated as the standard error of the estimate multiplied by 1.96. A MOE of 3 percentage points or less is commonly used as a standard of reliability for opinion surveys, although the reliability of a measure should ideally be assessed in conjunction with the specific use to which it will be put. [[br]][[br]] The relative standard error (RSE) also provides a measure of reliability for statistical estimates. The RSE is computed by dividing the standard error of the estimate by the estimate itself (or its complement, if the estimate itself is a proportion greater than 0.5) and multiplying by 100 to convert it to a percentage. (Estimates with a RSE above 25%-30% are commonly flagged as "unreliable" for government surveys, although the reliability of a measure should ideally be assessed in conjunction with the specific use to which it will be put.) [[br]] [[br]]

  • Measure Notes

    Data have been age-adjusted to the U.S. 2000 standard population.

Data Sources

Behavioral Risk Factor Survey, Center for Health Statistics, New Jersey Department of Health
(http://www.nj.gov/health/chs/njbrfs/)

Data Issue

Data from the New Jersey Behavioral Risk Factor Survey are intended to be representative of all non-institutionalized adult residents of New Jersey. Due to resource issues, however, adults with limited personal access to phone service or limited command of either English or Spanish are not represented. As with all surveys, also, some error results from nonresponse (e.g., refusal to participate in the survey or to answer specific questions), and faulty measurement (e.g., responses affected by social desirability or recall error). Data collection procedures intended to minimize such errors include the use of strict calling protocols, good questionnaire design, standardization of interviewer behavior, interviewer training, and frequent, on-site interviewer monitoring and supervision. Statistical weighting procedures are also used to minimize the potential impact of disproportionate representation of demographic subgroups defined in terms of age, sex, race, ethnicity, education level, marital status, home ownership, and county of residence. (See also [[a href="query/BRFSSQueryTechNotes.html" Behavioral Risk Factor Survey Data Description and Technical Notes]].)

The data and information provided through the NJSHAD Query System are intended to support individuals or entities engaged in activities designed solely to enhance the well-being of a specific community. Allowed activities include informing evidence-based decision making and planning, improving health service delivery, evaluate health care interventions and systems, and inform health policy decisions. Other uses are not permissible.

As an NJSHAD Query System user, I AGREE TO:
  1. Use the data for statistical reporting and analysis only.
  2. Avoid any attempt to identify or contact individual(s) represented in the NJSHAD query system data.
  3. Avoid disclosure or use of the identity of any individual(s) discovered inadvertently.
  4. Avoid linkage of NJSHAD query system data with other data that, after linkage, might allow identification of an individual represented in the NJSHAD query system data.
  5. Use appropriate safeguards to prevent the identification of any individual(s) represented in the data, including when disclosing NJSHAD Query System data to others.
  6. Report IMMEDIATELY any inadvertent or intentional identity disclosures or violations of this agreement of which I become aware to the Center for Health Statistics, NJ Department of Health.

I understand that any violation of the above conditions may result in prosecution under all relevant state and federal laws. If I am a state government employee, this may be grounds for immediate dismissal.

These data were queried on: Wed, 23 Apr 2025 00:16:11 EDT
The dataset was last updated on: Mon, 14 Apr 2025 03:32:49 EDT
New Jersey Behavioral Risk Factor Survey, Center for Health Statistics, New Jersey Department of Health, PO Box 360, Trenton, NJ 08625-0360, e-mail: chs@doh.nj.gov (https://nj.gov/health/chs/njbrfs/)