Age and Sex Patterns of Drug Prescribing in a Defined American Population
ABSTRACT To describe the age and sex patterns of drug prescribing in Olmsted County, Minnesota.
Population-based drug prescription records for the Olmsted County population in 2009 were obtained using the Rochester Epidemiology Project medical records linkage system (n=142,377). Drug prescriptions were classified using RxNorm codes and were grouped using the National Drug File-Reference Terminology.
Overall, 68.1% of the population (n=96,953) received a prescription from at least 1 drug group, 51.6% (n=73,501) received prescriptions from 2 or more groups, and 21.2% (n=30,218) received prescriptions from 5 or more groups. The most commonly prescribed drug groups in the entire population were penicillins and β-lactam antimicrobials (17%; n=23,734), antidepressants (13%; n=18,028), opioid analgesics (12%; n=16,954), antilipemic agents (11%; n=16,082), and vaccines/toxoids (11%; n=15,918). However, prescribing patterns differed by age and sex. Vaccines/toxoids, penicillins and β-lactam antimicrobials, and antiasthmatic drugs were most commonly prescribed in persons younger than 19 years. Antidepressants and opioid analgesics were most commonly prescribed in young and middle-aged adults. Cardiovascular drugs were most commonly prescribed in older adults. Women received more prescriptions than men for several drug groups, in particular for antidepressants. For several drug groups, use increased with advancing age.
This study provides valuable baseline information for future studies of drug utilization and drug-related outcomes in this population.
SourceAvailable from: Samantha Battams
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ABSTRACT: Background and Aims: Working conditions are an important health determinant. Employment factors can negatively affect mental health (MH), but there is little research on MH risk factors in male-dominated industries (MDI). Method: A systematic review of risk factors for anxiety and depression disorders in MDI was undertaken. MDI comprised ≥ 70% male workers and included agriculture, construction, mining, manufacturing, transport and utilities. Major electronic databases (CINAHL, Cochrane Library, Informit, PsycINFO, PubMed and Scopus) were searched. Each study was categorised according to National Health and Medical Research Council's hierarchy of evidence and study quality was assessed according to six methodological criteria. Results: Nineteen studies met the inclusion criteria. Four categories of risk were identified: individual factors, team environment, work conditions and work–home interference. The main risk factors associated with anxiety and depression in MDI were poor health and lifestyles, unsupportive workplace relationships, job overload and job demands. Some studies indicated a higher risk of anxiety and depression for blue-collar workers. Conclusion: Substantial gaps exist in the evidence. Studies with stronger methodologies are required. Available evidence suggests that comprehensive primary, secondary and tertiary prevention approaches to address MH risk factors in MDI are necessary. There is a need for organisationally focused workplace MH policies and interventions.04/2014; 2(1). DOI:10.1080/21642850.2014.954579
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ABSTRACT: Area probability sampling via U.S. postal addresses was used to select households from seven high poverty U.S. metropolitan areas. In person and telephone interviews with one adult household member were used to determine the odds of delaying or failing to fill a needed prescription for families with a child member with a limiting health condition. Logistic models indicate families with a child with a limiting health condition are 1.57 times more likely to delay or fail to fill a needed prescription, and families with more than one child with a limiting condition are 1.85 times more likely. Implications are set forth.Social Work in Health Care 02/2015; 54(2):101-117. DOI:10.1080/00981389.2014.975315 · 0.62 Impact Factor