Protective Health Factors and Incident Hypertension in Men

Banda, Jorge A.; Clouston, Kimberly; Sui, Xuemei; Hooker, Steven P.; Lee, Chong-Do; Blair, Steven N.

doi:10.1249/01.mss.0000385560.28477.6d

Cited by 4 publications

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“…S1. We identified 56 prospective cohort studies , whose characteristics are presented in Table S2. One study reported results for two separate cohort studies and was regarded as two different studies .…”

Section: Resultsmentioning

confidence: 99%

“…One study reported results for two separate cohort studies and was regarded as two different studies . Results from the Aerobics Center Longitudinal Study on BMI, WC and WHR were reported in three different articles and were separately included in relevant analysis. Another study (Turkish Adult Risk Factor Study) reported results on BMI and WC in two different articles and also was separately included in relevant analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, 57 prospective cohort studies with 2,343,466 participants and 216,182 incident cases of HTN were included in meta‐analysis. Twenty studies were from the USA , 13 studies were from Europe , 20 studies were from Asia , 2 studies were from Africa , 1 study was from Mexico and 1 was from Brazil . Baseline characteristics of included studies are presented in Table S2, and reported risk estimates in relation to different categories of anthropometric measures in each study are presented in Table S3.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose–response meta‐analysis of more than 2.3 million participants

et al. 2018

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose–response meta‐analysis of more than 2.3 million participants

et al. 2018

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“…The only measure of validity available from the NHANES survey itself was replication of the risk factor associations. An extensive literature from observational studies and trials supports the association between exercise and CVD risk factors [31-33], therefore replication of these relationships makes it is reasonable to assert that the accelerometer data from NHANES are capturing the physiologic benefit associated with increasing levels of physical activity. Admittedly this validation is indirect, and additional evidence must be sought in external studies which used similar methods.…”

Section: Discussionmentioning

confidence: 99%

Assessing Physical Activity and its Relationship to Cardiovascular Risk Factors: NHANES 2003-2006

et al. 2011

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BackgroundLevels of physical activity (PA) in the general population are difficult to characterize. Historically measurement has been based on self-report, which can be subject to bias. PA monitor use has created opportunities to improve surveillance and analytic research on activity and health. The aims of the current study were to investigate the associations between objectively measured PA and cardiovascular disease risk factors and obesity.MethodsData on PA from accelerometers, demographics, blood pressure, plasma glucose and lipids, self-reported hypertension and diabetes were obtained for adults, ages 20-65, in the NHANES surveys, 2003-2006. Outcomes were assessed as levels of moderate and vigorous activity, percentage of participants meeting recommended guidelines, and the correlations between activity and cardiovascular risk factors. Accelerometry data were available on 3,370 adults. Based on standard algorithms, activity levels were extremely low in all age-gender-race/ethnic groups, with an average of only 1 bout of vigorous activity lasting longer than 1 minute/day.ResultsMen spent 35 minutes in moderate activity/day, women 21 minutes; >75% of this activity was accumulated in 1-minute bouts. Levels of activity declined sharply after age 50 in all groups. Negative associations were observed between minutes of combined moderate and vigorous activity and systolic blood pressure, blood glucose, diabetes, hypertension, body mass index and obesity, and a positive association was seen with HDL-cholesterol (all P ≤ 0.03), suggesting valid rank ordering of participants by activity level.ConclusionThe magnitude of the gap between self-report and accelerometry activity must be a result of either a vast social acceptability bias in reporting or inaccurate measurement with accelerometry. Therefore, due to the low validity of self reported PA data for epidemiologic research, it is pertinent to encourage the use of valid, objective methods to assess PA.

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“…We developed a logistic regression model that incorporated literature‐supported hypertension risk factors and selected variables that were found to be statistically associated ( P <.05) with hypertension among NHANES participants. We included the following variables in the final model: age, sex, race/ethnicity, income and education status, obesity status based on body mass index, total cholesterol level status, prior history of CVD, diagnosed diabetes status, and chronic kidney disease (CKD) status (Table ). We used the final model to estimate the predicted marginal prevalence for each subgroup.…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of a Hypertension Prevalence Estimator Tool For Use in Clinical Settings

Ritchey

Yuan

Gillespie

et al. 2016

J of Clinical Hypertension

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Health systems are well positioned to identify and control hypertension among their patients. However, almost one-third of US adults with uncontrolled hypertension are currently receiving medical care and are unaware of being hypertensive. This study describes the development and validation of a tool health systems can use to compare their reported hypertension prevalence with their expected prevalence. Tool users provide the number of patients aged 18–85 years treated annually, stratified by gender, age group, race/ethnicity, and comorbidity status. Each stratum is multiplied by stratum-specific national prevalence estimates and the amounts are summed to calculate the number of expected hypertensive patients. The tool’s validity was assessed by applying samples from cohorts with known hypertension prevalence; small differences in expected versus actual prevalence were identified (range: −3.3% to 0.6%). This tool provides clinically useful hypertension prevalence estimates that health systems can use to help inform hypertension management quality improvement efforts.

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Protective Health Factors and Incident Hypertension in Men

Cited by 4 publications

References 0 publications

Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose–response meta‐analysis of more than 2.3 million participants

Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose–response meta‐analysis of more than 2.3 million participants

Assessing Physical Activity and its Relationship to Cardiovascular Risk Factors: NHANES 2003-2006

Development and Validation of a Hypertension Prevalence Estimator Tool For Use in Clinical Settings

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