No evidence for marked ethnic differences in accuracy of self-reported diabetes, hypertension, and hypercholesterolemia

Fakiri, Fatima El; Bruijnzeels, Marc; Hoes, Arno W.

doi:10.1016/j.jclinepi.2007.02.014

Cited by 51 publications

(49 citation statements)

References 23 publications

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“…Many large scale chronic disease surveillance systems and population-based studies on the prevalence of hypertension risk rely on self-reported data [2,3]. The accuracy of self-reports may be compromised by lack of awareness of hypertension, recall bias, or social desirability [4]. However, self-reported data are extremely attractive due to time and cost efficiency advantages.…”

Section: Introductionmentioning

confidence: 99%

Self-Reported and Measured Hypertension Among Older US- and Foreign-Born Adults

White

Avendaño

Capistrant

et al. 2011

J Immigrant Minority Health

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Self-reported hypertension is frequently used for health surveillance. However, little is known about the validity of self-reported hypertension among older Americans by nativity status. This study compared self-reported and measured hypertension among older black, white, and Hispanic Americans by nativity using the 2006 and 2008 Health and Retirement Study (n = 13,451). Sensitivity and specificity of self-reported hypertension were calculated using the Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure definition. Sensitivity was high among older blacks (88.9%), whites (82.8%), and Hispanics (84.0%), and both foreign-born (83.2%) and US-born (84.0%). Specificity was above 90% for both US-born and foreign-born, but higher for whites (92.8%) than blacks (86.0%). Despite the potential vulnerability of older foreign-born Americans, self-reported hypertension may be considered a reasonable estimate of hypertension status. Future research should confirm these findings in samples with a larger and more ethnically diverse foreign-born population.

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Section: Introductionmentioning

confidence: 99%

Self-Reported and Measured Hypertension Among Older US- and Foreign-Born Adults

White

Avendaño

Capistrant

et al. 2011

J Immigrant Minority Health

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show abstract

“…The first value is often used to define patients at risk for hypercholesterolemia, and the latter value is used for clinical diagnosis. 6,7,11,16 For blood pressure, systolic 140 mm=Hg or diastolic 90 mm=Hg was considered as elevated. For study purposes, the measured values were classified as elevated according to the following criteria: cholesterol concentration at or above the standard cutoffs or currently using lipid-lowering medication; hypertension, systolic blood pressure 140 mm=Hg or diastolic blood pressure 90 mm=Hg and=or current use of antihypertensive medications.…”

Section: Methodsmentioning

confidence: 99%

“…Studies show that people with greater knowledge about their risks tend to be in the higher income and education ranges, and those with lack of awareness tend to be at higher risk for CVD. 1,2,[10][11][12][13][14][15][16][17] There are differences by sex and age in reporting of weight and height and in the indices derived from these values, 10,11,15,[17][18][19] in knowledge of personal cholesterol values, 2 and in knowledge of diabetes status. 1,16 Several studies have examined the validity and reliability of self-reported weight, height, and related indices; self-reported cholesterol values and diabetes status; and subsequent risk for CVD.…”

Section: Introductionmentioning

confidence: 99%

“…1,2,[10][11][12][13][14][15][16][17] There are differences by sex and age in reporting of weight and height and in the indices derived from these values, 10,11,15,[17][18][19] in knowledge of personal cholesterol values, 2 and in knowledge of diabetes status. 1,16 Several studies have examined the validity and reliability of self-reported weight, height, and related indices; self-reported cholesterol values and diabetes status; and subsequent risk for CVD. 1,2,[10][11][12][13][14][15][16][17][18][19] Clearly, validity and reliability are important here, as inaccurate reporting of risks by surveyed populations may result in people not being identified early for chronic disease-related illnesses or not being offered interventions, such as changes in nutritional behaviors.…”

Section: Introductionmentioning

confidence: 99%

“…1,16 Several studies have examined the validity and reliability of self-reported weight, height, and related indices; self-reported cholesterol values and diabetes status; and subsequent risk for CVD. 1,2,[10][11][12][13][14][15][16][17][18][19] Clearly, validity and reliability are important here, as inaccurate reporting of risks by surveyed populations may result in people not being identified early for chronic disease-related illnesses or not being offered interventions, such as changes in nutritional behaviors. This may be a particular problem for low-income groups with limited or no access to health services.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Self-Reported and Clinical Measurement of Three Chronic Disease Risks among Low-Income Women in West Virginia

Ahluwalia

Tessaro

Rye

et al. 2009

Journal of Women's Health

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This study found that among low-income women at higher risk for cardiovascular disease (CVD), self-reported values for high body mass index (BMI), hypercholesterolemia, and hypertension were well correlated with clinical measures, as indicated by high sensitivity values. Thus, self-reported values can be used for surveillance, targeted screenings, and health promotion activities, including lifestyle changes.

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The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents’ medical status and age

Schneider

Stone

2016

Qual Life Res

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Purpose Self-report items in quality of life (QoL) scales commonly use vague quantifiers like “sometimes” or “often” to measure the frequency of health-related experiences. This study examined whether the meaning of such vaguely quantified response options differs depending on people’s medical status and age, which may undermine the validity of QoL group comparisons. Methods Respondents (n = 600) rated the frequency of positive and negative QoL experiences using vague quantifiers (never, rarely, sometimes, often, always) and provided open-ended numeric frequency counts for the same items. Negative binomial regression analyses examined whether the numeric frequencies associated with each vague quantifier differed between medical status (no vs. one or more medical conditions) and age (18–40 years vs. 60+ years) groups. Results Compared to respondents without a chronic condition, those with a medical condition assigned a higher numeric frequency to the same vague quantifiers for negative QoL experiences; this effect was not evident for positive QoL experiences. Older respondents’ numeric frequencies were more extreme (i.e., lower at the low end and somewhat higher at the high end of the response range) than those of younger respondents. After adjusting for these effects, differences in QoL became somewhat more pronounced between medical status groups, but not between age groups. Conclusions The results suggest that people with different medical backgrounds and age do not interpret vague frequency quantifiers on a QoL scale in the same way. Open-ended numeric frequency reports may be useful to detect and potentially correct for differences in the meaning of vague quantifiers.

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No evidence for marked ethnic differences in accuracy of self-reported diabetes, hypertension, and hypercholesterolemia

Cited by 51 publications

References 23 publications

Self-Reported and Measured Hypertension Among Older US- and Foreign-Born Adults

Self-Reported and Measured Hypertension Among Older US- and Foreign-Born Adults

Self-Reported and Clinical Measurement of Three Chronic Disease Risks among Low-Income Women in West Virginia

The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents’ medical status and age

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