Validity of Self-Report of Cardiovascular Risk Factors in a Population at High Risk for Stroke

Dey, Ayan; Alyass, Akram; Muir, Ryan T.; Black, Sandra E.; Swartz, Richard H.; Murray, Brian J.; Boulos, Mark I.

doi:10.1016/j.jstrokecerebrovasdis.2015.08.022

Cited by 38 publications

(41 citation statements)

References 18 publications

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“…Although fasting glucose measurements were available, only one reading was available per participant, thus not allowing its use as a variable to identify individuals with diabetes. However, the validity of using self‐report to identify individuals with type 2 diabetes was studied by Dey et al . and sensitivity was shown to be 77·8% (CI: 57·3–90·6) with a specificity of 95·4% (CI: 87·8–98·9).…”

Section: Discussionmentioning

confidence: 99%

“…report to identify individuals with type 2 diabetes was studied by Dey et al 20 and sensitivity was shown to be 77Á8% (CI: 57Á3-90Á6) with a specificity of 95Á4% (CI: 87Á8-98Á9). Furthermore, the 45 and Up Study, 21 an Australian cohort study consisting of 266 848 adults, showed that 80% of participants who self-reported a diagnosis of type 2 diabetes on mailed self-administered questionnaires had confirmed diagnosis of type 2 diabetes using administrative databases.…”

Section: Discussionmentioning

confidence: 99%

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The association between sclerostin and incident type 2 diabetes risk: a cohort study

Richards

Berger

et al. 2017

Clinical Endocrinology

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The association between sclerostin and incident type 2 diabetes risk: a cohort study

Richards

Berger

et al. 2017

Clinical Endocrinology

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“…Self-reported medical history, and especially cardiovascular history, is particularly prone to inaccurate reporting [32]. This is important to consider when interpreting the higher prevalence of vascular risk factors in the FI cohort compared to the PPMI cohort.…”

Section: Self-reported Medical Conditions and Medicationsmentioning

confidence: 99%

Comparison of an Online-Only Parkinson’s Disease Research Cohort to Cohorts Assessed In Person

Chahine

Chin

Caspell‐Garcia

et al. 2020

JPD

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“…Our results in this community-based cohort of individuals in North Carolina may not be representative of other populations of differing ages or race/ethnicity. Additionally, the diagnoses of DM and CVD were based on participant selfreport of prior doctor diagnosis rather than direct testing (e.g., we do not have HbA1c values) or medical record review, although self-report of these conditions is fairly reliable [17,18]. Our data source is an important strength, as it is a racially diverse sample with 18 years of follow-up.…”

Section: Discussionmentioning

confidence: 99%

Comorbid conditions and the transition among states of hip osteoarthritis and symptoms in a community-based study: a multi-state time-to-event model approach

et al. 2020

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Background:We examined the association of three common chronic conditions (obesity, diabetes mellitus [DM], and cardiovascular disease [CVD]) with transitions among states of hip osteoarthritis (HOA). Methods: This longitudinal analysis used data from the Johnston County Osteoarthritis Project (JoCo OA, n = 3857), a community-based study in North Carolina, USA, with 18.4 ± 1.5 years of follow-up. Transitions across the following states were modeled: development of radiographic HOA (rHOA; Kellgren-Lawrence grade [KLG] of< 2); development of hip symptoms (self-reported hip pain, aching, or stiffness on most days) or symptomatic HOA (sxHOA; rHOA and symptoms in the same hip), and resolution of symptoms. Obesity (body mass index ≥ 30 kg/m 2 ) and self-reported DM and CVD were the time-dependent comorbid conditions of interest. Markov multi-state models were used to estimate adjusted hazard ratios and 95% confidence intervals to describe the associations between the conditions and HOA states. Results: The sample included 33% African Americans, 39% men, with a mean (SD) age of 62.2 (9.8) years; the frequencies of the comorbidities increased substantially over time. When considered individually, obesity was associated with incident hip symptoms, while CVD and DM were associated with reduced symptom resolution. For those with > 1 comorbidity, the likelihood of incident sxHOA increased, while that of symptom resolution significantly decreased. When stratified by sex, the association between obesity and incident symptoms was only seen in women; among men with DM versus men without, there was a significant (~75%) reduction in symptom resolution in those with rHOA. When stratified by race, African Americans with DM, versus those without, were much more likely to develop sxHOA. Conclusions: Comorbid chronic conditions are common in individuals with OA, and these conditions have a significant impact on the persistence and progression of HOA. OA management decisions, both pharmacologic and non-pharmacologic, should include considerations of the inter-relationships between OA and common comorbidities such as DM and CVD.

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Validity of Self-Report of Cardiovascular Risk Factors in a Population at High Risk for Stroke

Cited by 38 publications

References 18 publications

The association between sclerostin and incident type 2 diabetes risk: a cohort study

The association between sclerostin and incident type 2 diabetes risk: a cohort study

Comparison of an Online-Only Parkinson’s Disease Research Cohort to Cohorts Assessed In Person

Comorbid conditions and the transition among states of hip osteoarthritis and symptoms in a community-based study: a multi-state time-to-event model approach

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