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: http://www.acpm.org and http://www.atpm.org/.

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
Year

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

  • Source
    American Journal of Preventive Medicine 05/2015; 105(5). DOI:10.1016/j.amepre.2014.11.010
  • [Show abstract] [Hide abstract]
    ABSTRACT: Context Evidence on the strength of the association between low SES and chronic kidney disease (CKD; measured by low estimated glomerular filtration rate [eGFR], high albuminuria, low eGFR/high albuminuria, and renal failure) is scattered and sometimes conflicting. Therefore, a systematic review and meta-analysis was performed to summarize the strength of the associations between SES and CKD and identify study-level characteristics related to this association. Evidence acquisition Studies published through January 2013 in MEDLINE and Embase were searched. From 35 studies that met the inclusion criteria, association estimates were pooled per CKD measure in the meta-analysis (performed between 2013 and 2014). Meta-regression analysis was used to identify study-level characteristics related to the strength of the SES–CKD association. Evidence synthesis Low SES was associated with low eGFR (OR=1.41, 95% CI=1.21, 1.62), high albuminuria (OR=1.52, 95% CI=1.22, 1.82), low eGFR/high albuminuria (OR=1.38, 95% CI=1.03, 1.74), and renal failure (OR=1.55, 95% CI=1.40, 1.71). Differences in SES measures across studies were not related to the strength of associations between low SES and any of the CKD measures (low GFR, p=0.63; high albuminuria, p=0.29; low eGFR/high albuminuria, p=0.54; renal failure, p=0.31). Variations in the strength of associations were related to the level of covariate adjustment for low eGFR (p<0.001) and high albuminuria (p<0.001). Conclusions Socioeconomic disparities in CKD were fairly strong, irrespective of how SES was measured. Variations in the strength of the associations were related to the level of covariate adjustment, particularly for low eGFR and high albuminuria.
    American Journal of Preventive Medicine 05/2015; 48(5):580-592. DOI:10.1016/j.amepre.2014.11.004.
  • American Journal of Preventive Medicine 04/2015; 48(4). DOI:10.1016/j.amepre.2014.10.023
  • American Journal of Preventive Medicine 03/2015; 48(5). DOI:10.1016/j.amepre.2014.12.003
  • 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
  • American Journal of Preventive Medicine 02/2015; 48(5). DOI:10.1016/j.amepre.2014.11.006
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    ABSTRACT: A computer-assisted tobacco decision support tool increased dental practitioners' (dentists and dental hygienists) advice to quit smoking and referral to a quitline during a group randomized trial. The purpose of this study is to document the extent to which use persisted after the trial. Electronic dental record (EDR) data from 2010 to 2013 were analyzed in 2014 for use of computer-assisted tobacco intervention tool advice scripts and referral to a quitline during four periods: during the trial and post-trial when only intervention clinic dental practitioners had access to the tool, and during full deployment, both before and after an EDR modification. Intervention clinic dental practitioners (18.5 dentist full-time equivalents [FTEs] and 27.8 dental hygienist FTEs practicing in seven clinics) referred 19.0% of 1,368 smokers to a quitline during the trial and referred 15.4% of 4,011 smokers post-trial. After full tool deployment but pre-EDR change, these dental practitioners referred 15.6% of 2,214 intervention clinic smokers, whereas 18.3 dentist FTEs and 29.7 dental hygienist FTEs practicing in eight clinics referred 8.5% of 2,113 smokers. Post-EDR change, dental practitioners referred 12.2% of 2,214 intervention clinic smokers and 8.1% of 2,399 control clinic smokers to a quitline. In the last three quarters of observation, clinic script use ranged from 15.4% to 65.8% and referral to a quitline ranged from 2.0% to 18.7% of visits. Although EDR design affected rates of referral, dental practitioners persisted in using a computer-assisted tobacco intervention tool to refer smokers to a quitline. 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.2014.12.017
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    ABSTRACT: Obesity incurs a substantial economic burden to healthcare systems. Little is known about the combined medical costs attributable to obesity among individuals with physical disabilities (PDs). To estimate the annual healthcare utilization and expenditure associated with overweight and obesity among adults with and without PDs. Weighted multivariate generalized linear models were used to estimate healthcare costs and utilization among adults with and without PDs, across standard BMI categories, using the 2002-2011 Medical Expenditure Panel Survey. The analyses, performed in 2013-2014, included a population representative sample of 215,107 individuals, aged ≥18 years. Overall, 36,349 adults reported moderate or significant PDs. The primary outcomes were total healthcare costs, physician office visits, and hospitalization. After adjusting for sociodemographic variables, self-rated mental and physical health, physical activity, and year, adults with PDs incurred more than 1.96 times the adjusted total healthcare costs ($4,298, 95% CI=$3,980, $4,617) than adults without PDs. Obese individuals spent significantly more than those at normal weight ($726, p<0.001). Obese individuals with PDs spent 1.13 times more than normal-weight individuals with PDs ($1,107, p<0.001) and >2.2 times more than normal-weight individuals without PDs ($5,197, p<0.001). PDs plus obesity represents $23.9 billion/year, or roughly 50% of the total costs attributable to obesity in the U.S. Across BMI categories, there was significantly greater healthcare utilization and cost among adults with PDs, independent of age, race, education, and SES. Health policies need to identify behavioral interventions that address both healthy weight achievement/maintenance and functional independence among all adults. Published by Elsevier Inc.
    American Journal of Preventive Medicine 02/2015; 48(4). DOI:10.1016/j.amepre.2014.11.007
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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; 48(4). 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; 48(4). DOI:10.1016/j.amepre.2014.11.002
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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; 48(4). DOI:10.1016/j.amepre.2014.10.016
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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; 48(4). DOI:10.1016/j.amepre.2014.11.013
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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; 48(4). DOI:10.1016/j.amepre.2014.10.014