University of Southern Maine

About: University of Southern Maine is a education organization based out in Portland, Maine, United States. It is known for research contribution in the topics: Population & Health care. The organization has 1172 authors who have published 2251 publications receiving 67056 citations.

Hegemonic Masculinity Rethinking the Concept

Abstract: The concept of hegemonic masculinity has influenced gender studies across many academic fields but has also attracted serious criticism. The authors trace the origin of the concept in a convergence of ideas in the early 1980s and map the ways it was applied when research on men and masculinities expanded. Evaluating the principal criticisms, the authors defend the underlying concept of masculinity, which in most research use is neither reified nor essentialist. However, the criticism of trait models of gender and rigid typologies is sound. The treatment of the subject in research on hegemonic masculinity can be improved with the aid of recent psychological models, although limits to discursive flexibility must be recognized. The concept of hegemonic masculinity does not equate to a model of social reproduction; we need to recognize social struggles in which subordinated masculinities influence dominant forms. Finally, the authors review what has been confirmed from early formulations (the idea of multiple...

Data Envelopment Analysis: Critique and Extensions

Abstract: This chapter points out serious shortcomings in DEA's treatment of price efficiency, illustrates the dangers of misspecification errors in DEA, and suggests extentions of the basic DEA formulation that address these shortcomings.

Autosomal dominant inheritance of early‐onset breast cancer. Implications for risk prediction

Abstract: Background. Improvements in screening techniques have made significant contributions to the early detection of breast cancer. Physicians thus face the task of providing appropriate screening schedules for their patients. One group for whom this is particularly important are those women with a family history of breast cancer. Methods. In this report, data from the Cancer and Steroid Hormone Study, a population-based, case-control study conducted by the Centers for Disease Control, are used to provide age-specific risk estimates of breast cancer for women with a family history of breast cancer. The data set includes 4730 patients with histologically confirmed breast cancer age 20–54 years and 4688 control subjects who were frequency matched to patients by geographic region and 5-year age intervals. The data set also includes family histories of breast cancer in mothers and sisters of both patients and control subjects. Results. Genetic models fit previously to these data by the authors have provided evidence for a rare autosomal dominant allele that results in increased susceptibility to breast cancer. In addition, these models predict that women who carry the allele are at greater risk of developing breast cancer at any age than are women who do not carry the allele. The increase in risk in carriers versus noncarriers does, however, decrease with increasing age. Based on the parameters of this model, age-specific risks for a woman with one or more relatives affected with breast cancer at various ages at onset are given. Conclusions. These tables can be used for the purpose of counseling women at high risk of breast cancer development, that is, women with a family history of breast cancer.

How many steps/day are enough? For older adults and special populations

Abstract: Older adults and special populations (living with disability and/or chronic illness that may limit mobility and/or physical endurance) can benefit from practicing a more physically active lifestyle, typically by increasing ambulatory activity. Step counting devices (accelerometers and pedometers) offer an opportunity to monitor daily ambulatory activity; however, an appropriate translation of public health guidelines in terms of steps/day is unknown. Therefore this review was conducted to translate public health recommendations in terms of steps/day. Normative data indicates that 1) healthy older adults average 2,000-9,000 steps/day, and 2) special populations average 1,200-8,800 steps/day. Pedometer-based interventions in older adults and special populations elicit a weighted increase of approximately 775 steps/day (or an effect size of 0.26) and 2,215 steps/day (or an effect size of 0.67), respectively. There is no evidence to inform a moderate intensity cadence (i.e., steps/minute) in older adults at this time. However, using the adult cadence of 100 steps/minute to demark the lower end of an absolutely-defined moderate intensity (i.e., 3 METs), and multiplying this by 30 minutes produces a reasonable heuristic (i.e., guiding) value of 3,000 steps. However, this cadence may be unattainable in some frail/diseased populations. Regardless, to truly translate public health guidelines, these steps should be taken over and above activities performed in the course of daily living, be of at least moderate intensity accumulated in minimally 10 minute bouts, and add up to at least 150 minutes over the week. Considering a daily background of 5,000 steps/day (which may actually be too high for some older adults and/or special populations), a computed translation approximates 8,000 steps on days that include a target of achieving 30 minutes of moderate-to-vigorous physical activity (MVPA), and approximately 7,100 steps/day if averaged over a week. Measured directly and including these background activities, the evidence suggests that 30 minutes of daily MVPA accumulated in addition to habitual daily activities in healthy older adults is equivalent to taking approximately 7,000-10,000 steps/day. Those living with disability and/or chronic illness (that limits mobility and or/physical endurance) display lower levels of background daily activity, and this will affect whole-day estimates of recommended physical activity.

The genetic attributable risk of breast and ovarian cancer

Abstract: BACKGROUND The age-specific proportion of breast and ovarian cancer in the general population that is likely to be due to a breast/ovarian cancer susceptibility gene(s) is estimated. In addition, the age-specific penetrance of ovarian cancer for women predicted to be carriers of a susceptibility gene is calculated using population-based data. METHODS Data are from the Cancer and Steroid Hormone Study, a population-based, case–control study conducted by the Centers for Disease Control, which includes 4730 breast cancer cases aged 20 to 54 years. Information regarding the occurrence of breast and ovarian cancer was collected for mothers and sisters of the cases during an in-home interview. The probability of being a breast cancer susceptibility gene carrier was calculated for each of the breast cancer cases using information on the family history of breast cancer. The calculated risk of ovarian cancer in the first-degree relatives of breast cancer cases with a high probability of being a gene carrier is compared with that seen in first-degree relatives of breast cancer cases with a low probability of being a gene carrier and used to calculate the proportion of ovarian cancer cases that are likely to be due to a breast/ovarian susceptibility gene(s) as well as the age-specific risk of developing ovarian cancer for gene carriers. RESULTS Approximately 10% of ovarian cancer cases and 7% of breast cancer cases in the general population are estimated to be carriers of a breast/ovarian cancer susceptibility gene; these women are found primarily in families characterized by multiple cases of the early onset of breast cancer. The proportion of breast cancer cases predicted to be attributable to the gene decreases markedly with age; approximately 33% of cases age 20–29 years compared with approximately 2% of cases age 70–79 years. The proportion of ovarian cancer cases predicted to be due to the susceptibility gene ranges from 14% among patients diagnosed in their 30s to 7% among those diagnosed in their 50s. Carriers are predicted to have at least 15 times the age-specific risk of ovarian cancer of noncarriers. Among women predicted to carry the gene, the cumulative risk of developing ovarian cancer by the age of 59 years is approximately 10%. CONCLUSIONS The estimates provided may prove helpful to clinicians until such time as large scale population-based screening for breast and ovarian cancer susceptibility genes is possible. Cancer 1996;77:2318-24.