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Dive into the research topics where Kerry L. McIver is active.

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Featured researches published by Kerry L. McIver.


Obesity | 2006

Validation and calibration of an accelerometer in preschool children

Russell R. Pate; Maria João C. A. Almeida; Kerry L. McIver; Karin A. Pfeiffer; Marsha Dowda

Objective: Obesity rates in young children are increasing, and decreased physical activity is likely to be a major contributor to this trend. Studies of physical activity in young children are limited by the lack of valid and acceptable measures. The purpose of this study was to calibrate and validate the ActiGraph accelerometer for use with 3‐ to 5‐year‐old children.


Obesity | 2008

Motor Skill Performance and Physical Activity in Preschool Children

Harriet G. Williams; Karin A. Pfeiffer; Jennifer R. O'Neill; Marsha Dowda; Kerry L. McIver; William H. Brown; Russell R. Pate

Children with better‐developed motor skills may find it easier to be active and engage in more physical activity (PA) than those with less‐developed motor skills. The purpose of this study was to examine the relationship between motor skill performance and PA in preschool children. Participants were 80 three‐ and 118 four‐year‐old children. The Childrens Activity and Movement in Preschool Study (CHAMPS) Motor Skill Protocol was used to assess process characteristics of six locomotor and six object control skills; scores were categorized as locomotor, object control, and total. The actigraph accelerometer was used to measure PA; data were expressed as percent of time spent in sedentary, light, moderate‐to‐vigorous PA (MVPA), and vigorous PA (VPA). Children in the highest tertile for total score spent significantly more time in MVPA (13.4% vs. 12.8% vs. 11.4%) and VPA (5% vs. 4.6% vs. 3.8%) than children in middle and lowest tertiles. Children in the highest tertile of locomotor scores spent significantly less time in sedentary activity than children in other tertiles and significantly more time in MVPA (13.4% vs. 11.6%) and VPA (4.9% vs. 3.8%) than children in the lowest tertile. There were no differences among tertiles for object control scores. Children with poorer motor skill performance were less active than children with better‐developed motor skills. This relationship between motor skill performance and PA could be important to the health of children, particularly in obesity prevention. Clinicians should work with parents to monitor motor skills and to encourage children to engage in activities that promote motor skill performance.


The New England Journal of Medicine | 2013

Myths, Presumptions, and Facts about Obesity

Krista Casazza; Kevin R. Fontaine; Arne Astrup; Leann L. Birch; Andrew W. Brown; Michelle M Bohan Brown; Nefertiti Durant; Gareth R. Dutton; E. Michael Foster; Steven B. Heymsfield; Kerry L. McIver; Tapan Mehta; Nir Menachemi; Russell R. Pate; Barbara J. Rolls; Bisakha Sen; Daniel L. Smith; Diana M. Thomas; David B. Allison

BACKGROUND Many beliefs about obesity persist in the absence of supporting scientific evidence (presumptions); some persist despite contradicting evidence (myths). The promulgation of unsupported beliefs may yield poorly informed policy decisions, inaccurate clinical and public health recommendations, and an unproductive allocation of research resources and may divert attention away from useful, evidence-based information. METHODS Using Internet searches of popular media and scientific literature, we identified, reviewed, and classified obesity-related myths and presumptions. We also examined facts that are well supported by evidence, with an emphasis on those that have practical implications for public health, policy, or clinical recommendations. RESULTS We identified seven obesity-related myths concerning the effects of small sustained increases in energy intake or expenditure, establishment of realistic goals for weight loss, rapid weight loss, weight-loss readiness, physical-education classes, breast-feeding, and energy expended during sexual activity. We also identified six presumptions about the purported effects of regularly eating breakfast, early childhood experiences, eating fruits and vegetables, weight cycling, snacking, and the built (i.e., human-made) environment. Finally, we identified nine evidence-supported facts that are relevant for the formulation of sound public health, policy, or clinical recommendations. CONCLUSIONS False and scientifically unsupported beliefs about obesity are pervasive in both scientific literature and the popular press. (Funded by the National Institutes of Health.).


Journal of School Health | 2008

Directly Observed Physical Activity Levels in Preschool Children

Russell R. Pate; Kerry L. McIver; Marsha Dowda; William H. Brown; Cheryl L. Addy

BACKGROUND Millions of young children attend preschools and other structured child development programs, but little is known about their physical activity levels while in those settings. The purpose of this study was to describe the physical activity levels and demographic and school-related correlates of physical activity in children attending preschools, using a direct observation measurement system. METHODS The Observational System for Recording Physical Activity in Children-Preschool Version was used to measure physical activity levels and related factors in four hundred ninety-three 3- to 5-year-old children in 24 preschools. A minimum of six hundred 30-second observation intervals were recorded for each child. Physical (height/weight) and demographic data also were collected. RESULTS Children engaged in moderate-to-vigorous physical activity (MVPA) during less than 3% of the observation intervals and were sedentary during more than 80% of the observation intervals. Boys were more likely than girls to engage in MVPA (p = .01), and 3-year-old boys were more active than 4- and 5-year-old boys (p = .01). The preschool that a child attended explained 27% of the variance in activity levels. CONCLUSIONS The study indicates that young children are physically inactive during most of their time in preschool. The preschool that a child attended was a stronger predictor of physical activity level than any other factor examined. Additional research is needed to identify the characteristics of preschools in which children are more active.


Pediatrics | 2009

Policies and Characteristics of the Preschool Environment and Physical Activity of Young Children

Marsha Dowda; William H. Brown; Kerry L. McIver; Karin A. Pfeiffer; Jennifer R. O'Neill; Cheryl L. Addy; Russell R. Pate

OBJECTIVE. The purpose of this study was to examine policies and characteristics of preschools and the extent to which they influence the physical activity of 3- to 5-year-old children during the preschool day. METHODS. A total of 299 children from 20 preschools wore accelerometers for an average of 8.1 hours/day (SD: 1.5 hours/day), for 5.5 days (SD: 2.1 days). A researcher completed the Early Childhood Environment Rating Scale-Revised for each preschool to assess quality. Classrooms and playgrounds were measured, and the preschool director was interviewed about physical activity policies. For each policy or characteristic, preschools were divided into 2 groups on the basis of whether the characteristic/policy was presumed to promote or not promote physical activity. RESULTS. Children spent fewer minutes per hour in sedentary activity and more minutes per hour in moderate/vigorous physical activity in preschools that had higher quality scores, less fixed playground equipment, more portable playground equipment, lower use of electronic media, and larger playgrounds. Five preschools had all 5 of these characteristics, and children in those preschools had significantly more moderate/vigorous physical activity minutes per hour and fewer sedentary minutes per hour compared with children in the other preschools. CONCLUSION. Children in the top 5 physical activity–promoting preschools accumulated >60 minutes of moderate/vigorous physical activity per day, compared with the children in the other preschools, who accumulated <60 minutes of moderate/vigorous physical activity per day.


Pediatric Exercise Science | 2009

Factors Related to Objectively Measured Physical Activity in Preschool Children

Karin A. Pfeiffer; Marsha Dowda; Kerry L. McIver; Russell R. Pate

This study examined correlates of objectively measured physical activity (PA) in a diverse sample of preschool children (age 3-5 years; n = 331). Accelerometer min x hr-1 of moderate-to-vigorous physical activity (MVPA) and nonsedentary activity (NSA) were the outcome measures. Correlations among potential correlates and PA ranged from r= -0.12-0.26. Correlates in the final MVPA model were age, race, sex, BMI Z score, and parent perception of athletic competence, explaining 37% of the variance. The NSA model included the latter two variables, explaining 35% of the variance. Demographic factors were correlates of PA; parent perceptions of childrens.


PLOS ONE | 2013

45-Year Trends in Women’s Use of Time and Household Management Energy Expenditure

Edward Archer; Robin P. Shook; Diana M. Thomas; Timothy S. Church; Peter T. Katzmarzyk; James R. Hébert; Kerry L. McIver; Gregory A. Hand; Carl J. Lavie; Steven N. Blair

Context Relationships between socio-environmental factors and obesity are poorly understood due to a dearth of longitudinal population-level research. The objective of this analysis was to examine 45-year trends in time-use, household management (HM) and energy expenditure in women. Design and Participants Using national time-use data from women 19–64 years of age, we quantified time allocation and household management energy expenditure (HMEE) from 1965 to 2010. HM was defined as the sum of time spent in food preparation, post-meal cleaning activities (e.g., dish-washing), clothing maintenance (e.g., laundry), and general housework. HMEE was calculated using body weights from national surveys and metabolic equivalents. Results The time allocated to HM by women (19–64 yrs) decreased from 25.7 hr/week in 1965 to 13.3 hr/week in 2010 (P<0.001), with non-employed women decreasing by 16.6 hr/week and employed women by 6.7 hr/week (P<0.001). HMEE for non-employed women decreased 42% from 25.1 Mj/week (6004 kilocalories per week) in 1965 to 14.6 Mj/week (3486 kcal/week) in 2010, a decrement of 10.5 Mj/week or 1.5 Mj/day (2518 kcal/week; 360 kcal/day) (P<0.001), whereas employed women demonstrated a 30% decrement of 3.9 Mj/week, 0.55 Mj/day (923 kcal/week, 132 kcal/day) (P<0.001). The time women spent in screen-based media use increased from 8.3 hr/week in 1965 to 16.5 hr/week in 2010 (P<0.001), with non-employed women increasing 9.6 hr/week and employed women 7.5 hr/week (P<0.001). Conclusions From 1965 to 2010, there was a large and significant decrease in the time allocated to HM. By 2010, women allocated 25% more time to screen-based media use than HM (i.e., cooking, cleaning, and laundry combined). The reallocation of time from active pursuits (i.e., housework) to sedentary pastimes (e.g., watching TV) has important health consequences. These results suggest that the decrement in HMEE may have contributed to the increasing prevalence of obesity in women during the last five decades.


Journal of Science and Medicine in Sport | 2011

Accelerometer-derived physical activity levels of preschoolers: a meta-analysis.

Daniel B. Bornstein; Michael W. Beets; Wonwoo Byun; Kerry L. McIver

OBJECTIVES This study synthesized the published estimates of daily moderate-to-vigorous physical activity (MVPAd(-1)) of preschooler-age children (3-5 years). DESIGN Meta-analysis of previously published studies reporting accelerometer-derived estimates of daily MVPA of preschoolers. METHODS A comprehensive literature review was conducted to identify studies published by March 2010 that reported daily minutes of accelerometer-derived MVPA in preschool-age children (3-5 years). Random effects point estimates and 95% confidence intervals (95% CIs) were calculated based on study weighted means and standard deviations of raw accelerometer counts per minute (cpm) and reported minutes of MVPA and/or percentage of time spent in MVPAd(-1). RESULTS 29 articles representing 6309 preschoolers were included. Overall, preschoolers engaged in 42.8 min (95% CI 28.9-56.8) of MVPAd(-1), and 54.4 min (95% CI 29.9-78.9) and 45.4 min (95% CI 25.2-65.6) for boys and girls separately. This translated into approximately 5.5% (95% CI 3.7-7.2%) of time spent in MVPAd(-1), and 7.1% (95% CI 3.9-10.3%) for boys and 6.3% (95% CI 3.9-8.7%) for girls. Studies (76%) using ActiGraph accelerometers reported an average of 714 cpm (95% CI 678-751), with boys and girls having 783 cpm (95% CI 753-813) and 696 cpm (95% CI 665-727), respectively. CONCLUSIONS Interpretation of accelerometer-derived MVPA is confounded by differences in cutpoints applied within a study. Great care, therefore, should be taken when interpreting the activity levels of preschoolers to inform policy decisions, such as the development of physical activity guidelines. Hence, considerable attention is required to unify accelerometer-derived MVPA so that unbiased comparisons across studies can be made.


Journal of Early Intervention | 2009

Effects of Teacher-Encouraged Physical Activity on Preschool Playgrounds

William H. Brown; Heather Smith Googe; Kerry L. McIver; Jeanna Marie Rathel

Increased numbers of young children who are overweight have become a significant health problem in the United States. Public health investigators have hypothesized that increased caloric intake and low levels of physical activity may be associated with the troubling trend of weight problems among children. To enhance preschool childrens moderate to vigorous physical activity on playgrounds the authors develop, implement, and evaluate two practical teacher-implemented activities. Direct observations of five children in two preschool programs during teacher-implemented activities indicate increased moderate to vigorous physical activity on intervention days relative to nonintervention days (i.e., business-as-usual conditions). The results and implications for preschool practitioners are discussed.


Mayo Clinic Proceedings | 2013

Maternal Inactivity: 45-Year Trends in Mothers' Use of Time

Edward Archer; Carl J. Lavie; Samantha M. McDonald; Diana M. Thomas; James R. Hébert; Sharon E. Taverno Ross; Kerry L. McIver; Robert M. Malina; Steven N. Blair

OBJECTIVE To examine 45-year trends in time use and physical activity energy expenditure (PAEE) in a nationally representative sample of US mothers. PARTICIPANTS AND METHODS We quantified time allocation to physical activity (PA), sedentary behaviors (SED), and PAEE from 1965 to 2010 in mothers with older children (MOC) (>5 to ≤18 years) and mothers with younger children (MYC) (≤5 years). Physical activity was the sum of time allocated to housework, child care, laundry, food preparation, postmeal cleanup, and exercise. Sedentary behavior was the sum of time spent in a vehicle and using screen-based media. Physical activity energy expenditure was calculated using body weights from national surveys and metabolic equivalents. RESULTS From 1965 to 2010, the time allocated to PA decreased by 11.1 h/wk (from 32.0 to 20.9 h/wk) in MOC and by 13.9 h/wk (from 43.6 to 29.7 h/wk) in MYC. The time spent in SED increased by 7.0 h/wk in MOC (from 17.7 to 24.7 h/wk) and increased by 5.7 h/wk in MYC (from 17.0 to 22.7 h/wk). Physical activity energy expenditure decreased by 1237.6 kcal/wk (176.8 kcal/d) in MOC (from 5835.3 to 4597.7 kcal/wk), and in MYC, PAEE decreased by 1572.5 kcal/wk (224.6 kcal/d), from 7690.5 to 6118.0 kcal/wk. CONCLUSION There was a significant reallocation of time by mothers from PA (eg, housework) to SED (eg, watching television) between 1965 and 2010. Given the essential role of PA for health and the potential for the intergenerational transmission of obesity and obesogenic behaviors, these results suggest that maternal inactivity may be an important target for the primary prevention of chronic noncommunicable diseases and obesity.

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Russell R. Pate

University of South Carolina

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Marsha Dowda

University of South Carolina

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William H. Brown

University of South Carolina

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Ruth P. Saunders

University of South Carolina

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Jennifer R. O'Neill

University of South Carolina

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Caroline H. Guinn

University of South Carolina

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Dawn K. Wilson

University of South Carolina

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Cheryl L. Addy

University of South Carolina

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