Sarah E. Anderson

Bio: Sarah E. Anderson is an academic researcher from Ohio State University. The author has contributed to research in topics: Population & Childhood obesity. The author has an hindex of 34, co-authored 76 publications receiving 5432 citations. Previous affiliations of Sarah E. Anderson include Vassar College & Tufts University.

Body mass index in children and adolescents: considerations for population-based applications

Abstract: Body mass index in children and adolescents: considerations for population-based applications

Relative Weight and Race Influence Average Age at Menarche: Results From Two Nationally Representative Surveys of US Girls Studied 25 Years Apart

Abstract: Objectives. 1) To establish with nationally representative US data whether menarche occurred earlier in the 1990s than it had 25 years before. 2) To assess whether the occurrence of menarche in relation to weight status and race had changed over this time period. Methods. Relative weight, race, and menarcheal status of girls in the National Health Examination Survey cycles II and III (1963–1970) were compared with results from the Third National Health and Nutrition Examination Survey (1988–1994). Probit analysis was used to determine the average age at menarche during the 2 survey periods. Logistic regression was used to assess the association of relative weight to likelihood of having reached menarche. Results. The average age at menarche dropped from 12.75 to 12.54 years, and the percentage of girls between 10 and 15 years old who were above the 85th percentile for body mass index increased from 16% to 27% over the 25 years between the 2 surveys. Higher relative weight was strongly associated with increased likelihood of having reached menarche after controlling for age and race. Black girls had a lower average age at menarche than did white girls, which was independent of the effect of relative weight. Conclusions. These analyses from 2 nationally representative samples of US girls suggest a drop of about 2½ months in the average age of menarche during the time period between 1963–1970 and 1988–1994. This was paralleled by a concurrent shift in the population distribution of body mass index z-score toward higher relative weights.

Household Routines and Obesity in US Preschool-Aged Children

Abstract: To determine the association between the prevalence of obesity in preschool-aged children and exposure to 3 household rou- tines: regularly eating the evening meal as a family, obtaining adequate sleep, and limiting screen-viewing time. METHODS: We conducted a cross-sectional analysis of a nationally rep- resentative sample of 8550 four-year-old US children who were as- sessed in 2005 in the Early Childhood Longitudinal Study, Birth Cohort. Height and weight were measured. We assessed the association of childhood obesity (BMI 95th percentile) with 3 household routines: regularly eating the evening meal as a family (5 nights per week); obtaining adequate nighttime sleep on weekdays (10.5 hours per night); and having limited screen-viewing (television, video, digital video disk) time on weekdays (2 hours/day). Analyses were adjusted for the child's race/ethnicity, maternal obesity, maternal education, household income, and living in a single-parent household. RESULTS: Eighteen percent of children were obese, 14.5% were ex- posed to all 3 routines, and 12.4% were exposed to none of the routines. The prevalence of obesity was 14.3% (95% confidence interval (CI): 11.3%-17.2%) among children exposed to all 3 routines and 24.5% (95% CI: 20.1%-28.9%) among those exposed to none of the routines. After adjusting for covariates, the odds of obesity associated with ex- posure to all 3, any 2, or only 1 routine (compared with none) were 0.63 (95% CI: 0.46 - 0.87), 0.64 (95% CI: 0.47- 0.85), and 0.84 (95% CI: 0.63- 1.12), respectively. CONCLUSIONS: US preschool-aged children exposed to the 3 house- hold routines of regularly eating the evening meal as a family, obtain- ing adequate nighttime sleep, and having limited screen-viewing time had an 40% lower prevalence of obesity than those exposed to none of these routines. These household routines may be promising targets for obesity-prevention efforts in early childhood. Pediatrics 2010;125: 420-428

Prevalence of obesity among US preschool children in different racial and ethnic groups.

Abstract: Objective To estimate the prevalence of obesity in 5 major racial/ethnic groups in 4-year-old US children. Design Cross-sectional secondary data analysis. Setting Nationally representative sample of US children born in 2001. Participants Height and weight were measured in 2005 in approximately 8550 children who participated in the Early Childhood Longitudinal Study, Birth Cohort. Main Exposure Racial/ethnic group. Outcome Measure Prevalence of obesity, defined as body mass index at or above the 95th percentile for age of the sex-specific Centers for Disease Control and Prevention growth charts. Results Obesity prevalence among 4-year-old US children (mean age, 52.3 months) was 18.4% (95% confidence interval [CI], 17.1%-19.8%). Obesity prevalence differed by racial/ethnic group (P < .001): American Indian/Native Alaskan, 31.2% (95% CI, 24.6%-37.8%); Hispanic, 22.0% (95% CI, 19.5%-24.5%); non-Hispanic black, 20.8% (95% CI, 17.8%-23.7%); non-Hispanic white, 15.9% (95% CI, 14.3%-17.5%); and Asian, 12.8% (95% CI, 10.0%-15.6%). All pairwise differences in obesity prevalence between racial/ethnic groups were statistically significant after a Bonferroni adjustment (P < .005) except for those between Hispanic and non-Hispanic black children and between non-Hispanic white and Asian children. Conclusions Racial/ethnic disparities in obesity are apparent in 4-year-old US children. The highest prevalence is in American Indian/Native Alaskan children, in whom obesity is twice as common as in non-Hispanic white or Asian children.

Heart Disease and Stroke Statistics—2010 Update A Report From the American Heart Association

Abstract: Appendix I: List of Statistical Fact Sheets. URL: http://www.americanheart.org/presenter.jhtml?identifier=2007 We wish to thank Drs Brian Eigel and Michael Wolz for their valuable comments and contributions. We would like to acknowledge Tim Anderson and Tom Schneider for their editorial contributions and Karen Modesitt for her administrative assistance. Disclosures View this table: View this table: View this table: # Summary {#article-title-2} Each year, the American Heart Association, in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update. The Statistical Update is a valuable resource for researchers, clinicians, healthcare policy makers, media professionals, the lay public, and many others who seek the best national data available on disease …

Heart Disease and Stroke Statistics—2013 Update A Report From the American Heart Association

Abstract: Author(s): Go, Alan S; Mozaffarian, Dariush; Roger, Veronique L; Benjamin, Emelia J; Berry, Jarett D; Borden, William B; Bravata, Dawn M; Dai, Shifan; Ford, Earl S; Fox, Caroline S; Franco, Sheila; Fullerton, Heather J; Gillespie, Cathleen; Hailpern, Susan M; Heit, John A; Howard, Virginia J; Huffman, Mark D; Kissela, Brett M; Kittner, Steven J; Lackland, Daniel T; Lichtman, Judith H; Lisabeth, Lynda D; Magid, David; Marcus, Gregory M; Marelli, Ariane; Matchar, David B; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Mussolino, Michael E; Nichol, Graham; Paynter, Nina P; Schreiner, Pamela J; Sorlie, Paul D; Stein, Joel; Turan, Tanya N; Virani, Salim S; Wong, Nathan D; Woo, Daniel; Turner, Melanie B; American Heart Association Statistics Committee and Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2011 Update A Report From the American Heart Association

Abstract: Rosamond, Paul D. Sorlie, Randall S. Stafford, Tanya N. Turan, Melanie B. Turner, Nathan D. Dariush Mozaffarian, Michael E. Mussolino, Graham Nichol, Nina P. Paynter, Wayne D. Ariane Marelli, David B. Matchar, Mary M. McDermott, James B. Meigs, Claudia S. Moy, Lackland, Judith H. Lichtman, Lynda D. Lisabeth, Diane M. Makuc, Gregory M. Marcus, John A. Heit, P. Michael Ho, Virginia J. Howard, Brett M. Kissela, Steven J. Kittner, Daniel T. Caroline S. Fox, Heather J. Fullerton, Cathleen Gillespie, Kurt J. Greenlund, Susan M. Hailpern, Todd M. Brown, Mercedes R. Carnethon, Shifan Dai, Giovanni de Simone, Earl S. Ford, Véronique L. Roger, Alan S. Go, Donald M. Lloyd-Jones, Robert J. Adams, Jarett D. Berry, Association 2011 Update : A Report From the American Heart −− Heart Disease and Stroke Statistics

Heart Disease and Stroke Statistics—2012 Update A Report From the American Heart Association

Abstract: Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .e3 1. About These Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .e7 2. American Heart Association's 2020 Impact Goals. . . . . . . . . . . . . . . . .e10 3. Cardiovascular Diseases . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . .e21 4. Subclinical Atherosclerosis . . . . . . . . . . . . . . . . . . . . .e45 5. Coronary Heart Disease, Acute Coronary Syndrome, and Angina Pectoris . . . . . . . . .e54 6. Stroke (Cerebrovascular Disease) . . . . . . . . . . . . . . . . . . . . . . . . . . . .e68 7. High Blood Pressure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .e88 8. Congenital Cardiovascular Defects . . . . . . . . . . . . . . . . . . . . . . . . . . . .e97 9. Cardiomyopathy and Heart Failure . . . . . . . . . . . . . . . . . . . . . . . . . . . .e102 10. Disorders …

Heart Disease and Stroke Statistics—2014 Update A Report From the American Heart Association

Abstract: Author(s): Go, Alan S; Mozaffarian, Dariush; Roger, Veronique L; Benjamin, Emelia J; Berry, Jarett D; Blaha, Michael J; Dai, Shifan; Ford, Earl S; Fox, Caroline S; Franco, Sheila; Fullerton, Heather J; Gillespie, Cathleen; Hailpern, Susan M; Heit, John A; Howard, Virginia J; Huffman, Mark D; Judd, Suzanne E; Kissela, Brett M; Kittner, Steven J; Lackland, Daniel T; Lichtman, Judith H; Lisabeth, Lynda D; Mackey, Rachel H; Magid, David J; Marcus, Gregory M; Marelli, Ariane; Matchar, David B; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Mussolino, Michael E; Neumar, Robert W; Nichol, Graham; Pandey, Dilip K; Paynter, Nina P; Reeves, Matthew J; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Wong, Nathan D; Woo, Daniel; Turner, Melanie B; American Heart Association Statistics Committee and Stroke Statistics Subcommittee