American Journal of Preventive Medicine (AM J PREV MED)

Publisher: American College of Preventive Medicine; Association of Teachers of Preventive Medicine, Elsevier Masson

Journal description

The American Journal of Preventive Medicine is the official journal of the American College of Preventive Medicine and the Association of Teachers of Preventive Medicine. It publishes articles in the areas of prevention research, teaching, practice and policy. Original research is published on interventions aimed at the prevention of chronic and acute disease and the promotion of individual and community health. Of particular emphasis are papers that address the primary and secondary prevention of important clinical, behavioral and public health issues such as injury and violence, infectious disease, women's health, smoking, sedentary behaviors and physical activity, nutrition, diabetes, obesity, and alcohol and drug abuse. Papers also address educational initiatives aimed at improving the ability of health professionals to provide effective clinical prevention and public health services. Papers on health services research pertinent to prevention and public health are also published. The journal also publishes official policy statements from the two co-sponsoring organizations, review articles, media reviews, and editorials. Finally, the journal periodically publishes supplements and special theme issues devoted to areas of current interest to the prevention community. For information on the American College of Preventive Medicine (ACPM) and the Association of Teachers of Preventive Medicine (ATPM), visit their web sites at the following URLs: and

Current impact factor: 4.28

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 4.281
2012 Impact Factor 3.945
2011 Impact Factor 4.044
2010 Impact Factor 4.11
2009 Impact Factor 4.235
2008 Impact Factor 3.766
2007 Impact Factor 3.489
2006 Impact Factor 3.497
2005 Impact Factor 3.167
2004 Impact Factor 3.188
2003 Impact Factor 3.256
2002 Impact Factor 2.63
2001 Impact Factor 2.064
2000 Impact Factor 2.192
1999 Impact Factor 1.442
1998 Impact Factor 1.199
1997 Impact Factor 0.995
1996 Impact Factor 0.829
1995 Impact Factor 0.856
1994 Impact Factor 0.617
1993 Impact Factor 0.549
1992 Impact Factor 0.646

Impact factor over time

Impact factor

Additional details

5-year impact 5.25
Cited half-life 6.00
Immediacy index 2.25
Eigenfactor 0.04
Article influence 1.94
Website American Journal of Preventive Medicine website
Other titles American journal of preventive medicine
ISSN 0749-3797
OCLC 11120856
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Elsevier Masson

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • On authors personal or authors institutions server
    • Published source must be acknowledged
    • Must link to journal home page
    • Publisher's version/PDF cannot be used
    • Articles in some journals can be made Open Access on payment of additional charge
    • 'Elsevier Masson' is an imprint of 'Elsevier'
  • Classification
    ​ green

Publications in this journal

  • American Journal of Preventive Medicine 03/2015; 48(3):e5. DOI:10.1016/j.amepre.2014.11.011
  • American Journal of Preventive Medicine 03/2015; 48(3):e4. DOI:10.1016/j.amepre.2014.11.012
  • American Journal of Preventive Medicine 03/2015; 48(3):e1. DOI:10.1016/j.amepre.2014.11.001
  • American Journal of Preventive Medicine 02/2015; 48(2). DOI:10.1016/j.amepre.2014.10.021
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    ABSTRACT: Aeromedical evacuation providers care for patients during air transport. By applying standard medical practices, oftentimes developed for ground care, these practitioners perform their mission duties under additional physical stress in this unique medical environment. Awkward postures and excessive forces are common occurrences among personnel operating in this domain. Additionally, anecdotal reports highlight the risk of developing musculoskeletal injuries for these providers. Currently, there is limited research focusing on musculoskeletal injuries in aeromedical evacuation providers. To determine the prevalence of musculoskeletal injuries and associated symptoms in aeromedical evacuation providers to understand the risk and burden of these injuries to military personnel. This study utilized a retrospective review of military medical records containing ICD-9 codes to investigate the incidence of musculoskeletal injuries within flight nurses and medical technicians compared to their non-flying counterparts from 2006 through 2011. Data were analyzed from 2013 through 2014. Although musculoskeletal injuries were identified within the test populations, results showed fewer injuries for aeromedical evacuation populations compared to non-aeromedical evacuation counterparts. One contributing factor may be a potential under-reporting of musculoskeletal injuries resulting from the fear of being placed on limited flying status. As flyers, aeromedical evacuation personnel must undergo yearly medical examinations and complete training courses that emphasize proper lifting techniques and physical requirements necessary for the safe and efficient transport of patients on various platforms. These additional requirements may create a healthy worker effect, likely contributing to lower musculoskeletal injuries. Published by Elsevier Inc.
    American Journal of Preventive Medicine 02/2015; DOI:10.1016/j.amepre.2014.10.017
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    ABSTRACT: Despite emphasis of recent guidelines on multidisciplinary teams for collaborative weight management, little is known about non-physician health professionals' perspectives on obesity, their weight management training, and self-efficacy for obesity care. To evaluate differences in health professionals' perspectives on (1) the causes of obesity; (2) training in weight management; and (3) self-efficacy for providing obesity care. Data were obtained from a cross-sectional Internet-based survey of 500 U.S. health professionals from nutrition, nursing, behavioral/mental health, exercise, and pharmacy (collected from January 20 through February 5, 2014). Inferences were derived using logistic regression adjusting for age and education (analyzed in 2014). Nearly all non-physician health professionals, regardless of specialty, cited individual-level factors, such as overconsumption of food (97%), as important causes of obesity. Nutrition professionals were significantly more likely to report high-quality training in weight management (78%) than the other professionals (nursing, 53%; behavioral/mental health, 32%; exercise, 50%; pharmacy, 47%; p<0.05). Nutrition professionals were significantly more likely to report high confidence in helping obese patients achieve clinically significant weight loss (88%) than the other professionals (nursing, 61%; behavioral/mental health, 51%; exercise, 52%; pharmacy, 61%; p<0.05), and more likely to perceive success in helping patients with obesity achieve clinically significant weight loss (nutrition, 81%; nursing, behavioral/mental health, exercise, and pharmacy, all <50%; p<0.05). Nursing, behavioral/mental health, exercise, and pharmacy professionals may need additional training in weight management and obesity care to effectively participate in collaborative weight management models. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 02/2015; DOI:10.1016/j.amepre.2014.11.002
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    ABSTRACT: Data and information are fundamental to every function of public health and crucial to public health agencies, from outbreak investigations to environmental surveillance. Information allows for timely, relevant, and high-quality decision making by public health agencies. Evidence-based practice is an important, grounding principle within public health practice, but resources to handle and analyze public health data in a meaningful way are limited. The Learning Health System is a platform that seeks to leverage health data to allow evidence-based real-time analysis of data for a broad range of uses, including primary care decision making, public health activities, consumer education, and academic research. The Learning Health System is an emerging endeavor that is gaining support throughout the health sector and presents an important opportunity for collaboration between primary care and public health. Public health should be a key stakeholder in the development of a national-scale Learning Health System because participation presents many potential benefits, including increased workforce capacity, enhanced resources, and greater opportunities to use health information for the improvement of the public's health. This article describes the framework and progression of a national-scale Learning Health System, considers the advantages of and challenges to public health involvement in the Learning Health System, including the public health workforce, gives examples of small-scale Learning Health System projects involving public health, and discusses how public health practitioners can better engage in the Learning Health Community. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 02/2015; DOI:10.1016/j.amepre.2014.11.013
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    ABSTRACT: Although self-reported influenza vaccination status is routinely used in surveillance to estimate influenza vaccine coverage, Medicare data are becoming a promising resource for influenza surveillance to inform vaccination program management and planning. To evaluate the concordance between self-reported influenza vaccination and influenza vaccination claims among Medicare beneficiaries. This study compared influenza vaccination based upon Medicare claims and self-report among a sample of Medicare beneficiaries (N=9,378) from the 2011 Medicare Current Beneficiary Survey, which was the most recent year of data at the time of analysis (summer 2013). Sensitivity, specificity, positive predictive value, and negative predictive value were calculated using self-reported data as the referent standard. Logistic regression was used to compute the marginal mean proportions for whether a Medicare influenza vaccination claim was present among beneficiaries who reported receiving the vaccination. Influenza vaccination was higher for self-report (69.4%) than Medicare claims (48.3%). For Medicare claims, sensitivity=67.5%, specificity=96.3%, positive predictive value=97.6%, and negative predictive value=56.7%. Among beneficiaries reporting receiving an influenza vaccination, the percentage of beneficiaries with a vaccination claim was lower for beneficiaries who were aged <65 years, male, non-Hispanic black or Hispanic, and had less than a college education. The classification of influenza vaccination status for Medicare beneficiaries can differ based upon survey and claims. To improve Medicare claims-based surveillance studies, further research is needed to determine the sources of discordance in self-reported and Medicare claims data, specifically for sensitivity and negative predictive value. Published by Elsevier Inc.
    American Journal of Preventive Medicine 02/2015; DOI:10.1016/j.amepre.2014.10.016
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    ABSTRACT: Bridging the knowing-doing gap in the prevention of chronic disease requires deep appreciation and understanding of the complexities inherent in behavioral change. Strategies that have relied exclusively on the implementation of evidence-based data have not yielded the desired progress. The tools of human-centered design, used in conjunction with evidence-based data, hold much promise in providing an optimal approach for advancing disease prevention efforts. Directing the focus toward wide-scale education and application of human-centered design techniques among healthcare professionals will rapidly multiply their effective ability to bring the kind of substantial results in disease prevention that have eluded the healthcare industry for decades. This, in turn, would increase the likelihood of prevention by design. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 02/2015; DOI:10.1016/j.amepre.2014.10.014
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    ABSTRACT: Violence, experienced in either childhood or adulthood, has been associated with physical health outcomes, including cardiovascular disease. However, the consistency of the existing literature has not been evaluated. In 2013, the authors conducted a PubMed and Web of Science review of peer-reviewed articles published prior to August 2013 on the relation between violence exposure, experienced in either childhood or adulthood, and cardiovascular outcomes. To meet inclusion criteria, articles had to present estimates for the relation between violence exposure and cardiovascular outcomes (e.g., hypertension, blood pressure, stroke, coronary disease, or myocardial infarction) adjusted for demographic factors. Articles focusing on violence from television, video games, natural disasters, terrorism, or war were excluded. The initial search yielded 2,273 articles; after removing duplicates and applying inclusion and exclusion criteria, 30 articles were selected for review. A consistent positive relation was noted on the association between violence experienced during childhood and cardiovascular outcomes in adulthood (i.e., hypertension, coronary heart disease, and myocardial infarction). Associations across genders with varying types of violence exposure were also noted. By contrast, findings were mixed on the relation between adult violence exposure and cardiovascular outcome. Despite varying definitions of violence exposure and cardiovascular endpoints, a consistent relation exists between childhood violence exposure, largely assessed retrospectively, and cardiovascular endpoints. Findings are mixed for the adult violence-cardiovascular health relation. The cross-sectional nature of most adult studies and the reliance of self-reported outcomes can potentially be attributed to the lack of findings among adult violence exposure studies. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 02/2015; 48(2):205-12. DOI:10.1016/j.amepre.2014.09.013
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    ABSTRACT: Childhood obesity remains a public health concern, and tracking local progress may require local surveillance systems. Electronic health record data may provide a cost-effective solution. To demonstrate the feasibility of estimating childhood obesity rates using de-identified electronic health records for the purpose of public health surveillance and health promotion. Data were extracted from the Public Health Information Exchange (PHINEX) database. PHINEX contains de-identified electronic health records from patients primarily in south central Wisconsin. Data on children and adolescents (aged 2-19 years, 2011-2012, n=93,130) were transformed in a two-step procedure that adjusted for missing data and weighted for a national population distribution. Weighted and adjusted obesity rates were compared to the 2011-2012 National Health and Nutrition Examination Survey (NHANES). Data were analyzed in 2014. The weighted and adjusted obesity rate was 16.1% (95% CI=15.8, 16.4). Non-Hispanic white children and adolescents (11.8%, 95% CI=11.5, 12.1) had lower obesity rates compared to non-Hispanic black (22.0%, 95% CI=20.7, 23.2) and Hispanic (23.8%, 95% CI=22.4, 25.1) patients. Overall, electronic health record-derived point estimates were comparable to NHANES, revealing disparities from preschool onward. Electronic health records that are weighted and adjusted to account for intrinsic bias may create an opportunity for comparing regional disparities with precision. In PHINEX patients, childhood obesity disparities were measurable from a young age, highlighting the need for early intervention for at-risk children. The electronic health record is a cost-effective, promising tool for local obesity prevention efforts. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 02/2015; 48(2):234-40. DOI:10.1016/j.amepre.2014.10.020
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    ABSTRACT: Counter-marketing in tobacco control plays an important role in increasing smoking cessation, reducing overall tobacco use, and reducing exposure to secondhand smoke. To evaluate the Tobacco Stops With Me campaign in Oklahoma by determining awareness and impact on tobacco-related attitudes, knowledge, and behavior among tobacco users and non-users. A 2-year longitudinal population-based study of 4,001 Oklahomans aged 18-54 years was conducted to evaluate campaign-related changes in knowledge, attitudes, and behaviors. Baseline data were collected using landline and cellular phones in 2007 prior to the launch of the campaign, with follow-up surveys at 1 year after baseline (n=2,466) and 2 years after baseline (n=2,266). Data were analyzed in 2012 using methods appropriate for weighted longitudinal data. Overall campaign awareness was 81%. Exposure to Tobacco Stops With Me doubled quit attempts among tobacco users and increased knowledge about the harm of secondhand smoke. Tobacco non-users exposed to the campaign were 1.5 times more likely to help someone quit using tobacco than those not exposed, report that tobacco is a serious problem in Oklahoma, believe that tobacco companies should not be allowed to give away free samples or advertise at public events, and believe that smoking should be banned at public outdoor places. These findings were statistically significant after controlling for potential confounding variables. This study demonstrates the campaign's impact on tobacco-related attitudes, knowledge, and behaviors among both tobacco users and non-users. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 01/2015; 48(1 Suppl 1):S71-7. DOI:10.1016/j.amepre.2014.09.012
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    ABSTRACT: The prevalence of smokeless tobacco use in the U.S. is increasing and its use is a risk factor for a number of adverse health outcomes. Currently, there is limited evidence on the effectiveness of quitlines for tobacco cessation among smokeless tobacco users. To examine factors related to tobacco abstinence among exclusive smokeless tobacco users registering for services with the Oklahoma Tobacco Helpline. Participants included 959 male exclusive smokeless tobacco users registering with the Helpline between 2004 and 2012; a total of 374 completed a follow-up survey 7 months post-registration. Data were collected between 2004 and 2013 and included baseline data at Helpline registration, services received, and 7-month follow-up for 30-day point-prevalence for tobacco abstinence. Univariate and multiple logistic regression examined associations between abstinence and participant characteristics, intensity of Helpline intervention, and behavioral factors. ORs and 95% CIs were reported. Analyses were completed in 2013. At the 7-month follow-up, 43% of the participants reported 30-day abstinence from tobacco. Each additional completed Helpline call increased the likelihood of tobacco cessation by 20% (OR=1.20, 95% CI=1.05, 1.38). Smokeless tobacco users with higher levels of motivation to quit at baseline were twice as likely to be abstinent than those with low or moderate levels of motivation (OR=2.05, 95% CI=1.25, 3.35). Use of nicotine replacement therapy was not associated with abstinence when adjusted for Helpline calls, income, and level of motivation. Tobacco quitlines offer an effective intervention to increase smokeless tobacco abstinence. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 01/2015; 48(1 Suppl 1):S54-60. DOI:10.1016/j.amepre.2014.09.028
  • American Journal of Preventive Medicine 01/2015; 48(1):116-119. DOI:10.1016/j.amepre.2014.09.031
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    ABSTRACT: Developmental assets protect adolescents from tobacco use; however, their influence during the transition to young adulthood is unknown. To determine the prospective associations among assets and tobacco use in older adolescents and young adults. Prospective analyses were conducted using five waves of annual data collected from 467 randomly selected ethnically diverse youth (baseline age, 15-17 years) from 2003 to 2008. Logistic regression was conducted in 2013 to prospectively examine associations between ten Wave 1 assets with no tobacco use in the past 30 days over the five waves of the study (no use). Assets that were significantly associated with no use were included in a second analysis to examine the cumulative effect of Wave 1 assets on no use. Youth who possessed Family Communication, Relationship with Mother, Aspirations for the Future, Parental Monitoring, or Responsible Choices assets had significantly higher odds of no tobacco use. There were significant interactions between Relationship with Father, Non-Parental Adult Role Models, Future Educational Aspirations, and Peer Role Models assets and family structure, gender, or both. There was a significant interaction between cumulative assets and family structure. For youth in two-parent households at Wave 1, those with more assets had significantly greater odds of reporting no tobacco use over five waves compared to those with the fewest assets. The influence of assets in adolescents can influence tobacco use into young adulthood. Family structure and gender can influence the asset-tobacco use relationship. Copyright © 2015. Published by Elsevier Inc.
    American Journal of Preventive Medicine 01/2015; 48(1S1):S94-S101. DOI:10.1016/j.amepre.2014.09.021
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    ABSTRACT: Obese and overweight women who smoke are more likely to be concerned about weight gain following cessation, impacting ability to quit and relapse. To determine differences in weight concerns for underweight, normal weight, overweight, and obese female smokers by race/ethnicity. From March to November 2008, female adult tobacco users calling the Oklahoma Tobacco Helpline were asked questions to determine the prevalence of obesity and concern for cessation-related weight gain. A score of 50 or greater, where 0=not at all concerned and 100=very concerned, on one of two weight concerns questions defined the outcome. BMI was calculated from self-reported height and weight. For the current analyses in 2013, race, ethnicity, age, education, marital status, and tobacco use history were examined as covariates. Multiple logistic regression was used to calculate ORs and 95% CIs. A significant interaction between race and BMI was observed; thus, separate models were created for white (n=3,579); black (n=330); American Indian (n=441); and Hispanic (n=125) women. BMI was independently associated with weight concerns among all racial/ethnic groups, but the strength of the association varied. For black and Hispanic women, there was a particularly strong association between BMI and weight concerns among obese women (OR=9.55, 95% CI=5.05, 18.07, and OR=8.46, 95% CI=2.57, 27.83, respectively), although sample sizes were small. State quitlines should consider tailoring promotional efforts and treatment protocols to include concerns about weight gain, especially for obese African American and Hispanic smokers. Copyright © 2015 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
    American Journal of Preventive Medicine 01/2015; 48(1 Suppl 1):S61-4. DOI:10.1016/j.amepre.2014.09.004
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    American Journal of Preventive Medicine 01/2015; DOI:10.1016/j.amepre.2014.10.006
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    ABSTRACT: Sex-specific prediabetes estimates are not available for older-adult Americans. To estimate prediabetes prevalence, using nationally representative data, in civilian, non-institutionalized, older U.S. adults. Data from 7,995 participants aged ≥50 years from the 1999-2010 National Health and Nutrition Examination Surveys were analyzed in 2013. Prediabetes was defined as hemoglobin A1c=5.7%-6.4% (39-47 mmol/mol [HbA1c5.7]), fasting plasma glucose of 100-125 mg/dL (impaired fasting glucose [IFG]), or both. Crude and age-adjusted prevalences for prediabetes, HbA1c5.7, and IFG by sex and three age groups were calculated, with additional adjustment for sex, age, race/ethnicity, poverty status, education, living alone, and BMI. From 1999 to 2005 and 2006 to 2010, prediabetes increased for adults aged 50-64 years (38.5% [95% CI=35.3, 41.8] to 45.9% [42.3, 49.5], p=0.003) and 65-74 years (41.3% [37.2, 45.5] to 47.9% [44.5, 51.3]; p=0.016), but not significantly for adults aged ≥75 years (45.1% [95% CI=41.1, 49.1] to 48.9% [95% CI=45.2, 52.6]; p>0.05). Prediabetes increased significantly for women in the two youngest age groups, and HbA1c5.7 for both sexes (except men aged ≥75 years), but IFG remained stable for both sexes. Men had higher prevalences than women for prediabetes and IFG among adults aged 50-64 years, and for IFG among adults aged ≥75 years. Across demographic subgroups, adjusted prevalence gains for both sexes were similar and most pronounced for HbA1c5.7, virtually absent for IFG, but greater for women than men for prediabetes. Given the large, growing prediabetes prevalence and its anticipated burden, older adults, especially women, are likely intervention targets. Published by Elsevier Inc.
    American Journal of Preventive Medicine 01/2015; 48(3). DOI:10.1016/j.amepre.2014.10.004