Last data update: Apr 29, 2024. (Total: 46658 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: McCain K[original query] |
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Change in prevalence of meeting the aerobic physical activity guideline among US adults, by states and territories-Behavioral Risk Factor Surveillance System, 2011 and 2019
Ussery EN , Omura JD , McCain K , Watson KB . J Phys Act Health 2021 18 S84-s85 Overall, the percentage of US adults who met the aerobic physical activity guideline1,I was 51.3% in 2011 and 51.3% in 2019 (P = .876).II In 2011, the prevalence of meeting the aerobic guideline was <45% in 7 jurisdictions, 45% to <50% in 16 jurisdictions, 50% to <55% in 16 jurisdictions, and ≥55% in 14 jurisdictions. In 2019, the prevalence of meeting the aerobic guideline was <45% in 4 jurisdictions, 45% to <50% in 17 jurisdictions, 50% to <55% in 16 jurisdictions, and ≥55% in 15 jurisdictions. Between 2011 and 2019, the prevalence significantly decreased in 12 jurisdictions (CA, CO, HI, KY, ME, MA, MO, OH, OK, OR, VA, PR), significantly increased in 11 jurisdictions (AL, KS, LA, MD, MN, MT, NC, TN, VT, WA, WV), and did not significantly change in 29 jurisdictions.III The absolute change in prevalence ranged from an 11.0 percentage point decrease in Kentucky to an 8.6 percentage point increase in Tennessee. |
Demographic and Social Factors Associated with COVID-19 Vaccination Initiation Among Adults Aged ≥65 Years - United States, December 14, 2020-April 10, 2021.
Whiteman A , Wang A , McCain K , Gunnels B , Toblin R , Lee JT , Bridges C , Reynolds L , Murthy BP , Qualters J , Singleton JA , Fox K , Stokley S , Harris L , Gibbs-Scharf L , Abad N , Brookmeyer KA , Farrall S , Pingali C , Patel A , Link-Gelles R , Dasgupta S , Gharpure R , Ritchey MD , Barbour KE . MMWR Morb Mortal Wkly Rep 2021 70 (19) 725-730 Compared with other age groups, older adults (defined here as persons aged ≥65 years) are at higher risk for COVID-19-associated morbidity and mortality and have therefore been prioritized for COVID-19 vaccination (1,2). Ensuring access to vaccines for older adults has been a focus of federal, state, and local response efforts, and CDC has been monitoring vaccination coverage to identify and address disparities among subpopulations of older adults (2). Vaccine administration data submitted to CDC were analyzed to determine the prevalence of COVID-19 vaccination initiation among adults aged ≥65 years by demographic characteristics and overall. Characteristics of counties with low vaccination initiation rates were quantified using indicators of social vulnerability data from the 2019 American Community Survey.* During December 14, 2020-April 10, 2021, nationwide, a total of 42,736,710 (79.1%) older adults had initiated vaccination. The initiation rate was higher among men than among women and varied by state. On average, counties with low vaccination initiation rates (<50% of older adults having received at least 1 vaccine dose), compared with those with high rates (≥75%), had higher percentages of older adults without a computer, living in poverty, without Internet access, and living alone. CDC, state, and local jurisdictions in partnerships with communities should continue to identify and implement strategies to improve access to COVID-19 vaccination for older adults, such as assistance with scheduling vaccination appointments and transportation to vaccination sites, or vaccination at home if needed for persons who are homebound.(†) Monitoring demographic and social factors affecting COVID-19 vaccine access for older adults and prioritizing efforts to ensure equitable access to COVID-19 vaccine are needed to ensure high coverage among this group. |
Comparison of anthropometric data quality in children aged 6-23 and 24-59 months: lessons from population-representative surveys from humanitarian settings
Bilukha O , Couture A , McCain K , Leidman E . BMC Nutr 2020 6 (1) 60 Background: Ensuring the quality of anthropometry data is paramount for getting accurate estimates of malnutrition prevalence among children aged 6–59 months in humanitarian and refugee settings. Previous reports based on data from Demographic and Health Surveys suggested systematic differences in anthropometric data quality between the younger and older groups of preschool children. Methods: We analyzed 712 anthropometric population-representative field surveys from humanitarian and refugee settings conducted during 2011–2018. We examined and compared the quality of five anthropometric indicators in children aged 6–23 months and children aged 24–59 months: weight for height, weight for age, height for age, body mass index for age and mid-upper arm circumference (MUAC) for age. Using the z-score distribution of each indicator, we calculated the following parameters: standard deviation (SD), percentage of outliers, and measures of distribution normality. We also examined and compared the quality of height, weight, MUAC and age measurements using missing data and rounding criteria. Results: Both SD and percentage of flags were significantly smaller on average in older than in younger age group for all five anthropometric indicators. Differences in SD between age groups did not change meaningfully depending on overall survey quality or on the quality of age ascertainment. Over 50% of surveys overall did not deviate significantly from normality. The percentage of non-normal surveys was higher in older than in the younger age groups. Digit preference score for weight, height and MUAC was slightly higher in younger age group, and for age slightly higher in the older age group. Children with reported exact date of birth (DOB) had much lower digit preference for age than those without exact DOB. SD, percentage flags and digit preference scores were positively correlated between the two age groups at the survey level, such as those surveys showing higher anthropometry data quality in younger age group also tended to show higher quality in older age group. Conclusions: There should be an emphasis on increased rigor of training survey measurers in taking anthropometric measurements in the youngest children. Standardization test, a mandatory component of the pre-survey measurer training and evaluation, of 10 children should include at least 4–5 children below 2 years of age. |
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