Traditionally, nursing has measured job satisfaction by focusing on employees' likes and dislikes. However, job satisfaction is an unsatisfactory construct to assess either the jobs themselves or employees' feelings about work sinceas much as 30% of the variance explained in job satisfaction surveys is a function of personality, something employers can do little to change. Based on socio-technical systems theory, quality of nursing work life (QNWL) assessments focus on identifying opportunities for nurses to improve their work and work environment while achieving the organization's goals. Moreover, some evidence suggests that improvements in work life are needed to improve productivity. Therefore, assessing QNWL reveals areas for improvement where the needs of both the employees and the organization converge. The purpose of this article was to assess the QNWL of staff nurses using Brooks' Quality of Nursing Work Life Survey.

Patients with FMS deserve careful assessment for reproductive conditions and sleep-related functional disorders. Besides more research into mechanisms underlying symptoms, intervention testing specifically to alleviate sleep problems, low physical activity levels, and sexual dysfunction should be paramount.

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Predominantly, the menopausal transition conveys poor sleep beyond anticipated age effects. Perceptions of sleep are not necessarily translatable from detectable physical sleep changes and are probably affected by an emotional overlay on symptoms reporting. Sleep quality and pattern changes are mostly manifest in wakefulness indicators, but sleep pattern changes are not striking. Likely contributing are VMS of sufficient frequency/severity and bothersomeness, probably with a sweating component. VMA events influence physical sleep fragmentation but not necessarily extensive sleep loss or sleep architecture changes. Lack of robust connections between perceived and recorded sleep (and VMA) could be influenced by inadequate detection. There is a need for studies of women in well-defined menopausal transition stages who have no sleep problems, accounting for sleep-related disorders, mood, and other symptoms, with attention to VMS dimensions, distribution of VMS during night and day, and advanced measurement of symptoms and physiologic manifestations.

Sleep problems (i.e., insomnia) affect midlife women as they approach and pass through menopause at rates higher than at most other stages of life. The purpose of this article is to critically review what is known about insomnia (perceived poor sleep) and physiologically assessed sleep, as well as sleep-related disordered breathing (SDB), in women according to menopausal status and the role of hypothalamic-pituitary-ovarian (HPO) hormones. Self-report evidence that sleep difficulties are related to the hormonal changes of menopause is mixed. Data from studies in which sleep was physiologically measured reveal that sleep problems appear corequisite with hot flashes and sweats. Results are difficult to compare across studies because of varying methodologies in how sleep quality and patterns were assessed and how age cohorts and menopausal status were defined. The risk of SDB increases with age, although women are less susceptible at any age than men. As with men, snoring, obesity, and high blood pressure are clear risk factors. Some women may be underdiagnosed for SDB, as they have somewhat different symptom manifestations than men. Usually, frank apnea is not as evident. Primary care clinicians should be mindful of the potential for SDB in women who are obese, have high blood pressure, are cognizant of snoring, and report morning headaches and excessive daytime sleepiness. Improved care will result from consistently incorporating sleep insomnia assessments into practice as a basis for referring to sleep centers as necessary or prescribing sleep-enhancing behavioral and pharmacological treatments.

Women with FM and pain have fewer sleep spindles and reduced electroencephalogram power in spindle frequency activity compared to control women of similar age. These data imply that some aspect of thalamocortical mechanisms of spindle generation might be impaired in FM.

Although aggressive medical treatment protocols have led to 80% 5-year survival rates for most childhood cancers, many long-term survivors experience multiple troubling symptoms. Using data from 100 adult survivors of childhood cancers (ACC-survivors), we used latent variable mixture modeling to generate unique subgroups of survivors based on their experiences with a cluster of eight symptoms: lack of energy, worry, pain, difficulty sleeping, feeling irritable, feeling nervous, difficulty concentrating, and feeling sad (as measured by the Memorial Symptom Assessment Scale). We also examined factors that were likely to predict subgroup membership (chronic health conditions, health-promoting lifestyle, and demographic variables) and determined the extent to which satisfaction with quality of life (QoL) varied across the subgroups. The final mixture model included three subgroups of ACC-survivors: high symptoms (HS) (n=21), moderate symptoms (MS) (n=45), and low symptoms (LS) (n=34). ACC-survivors who reported at least one chronic health condition were six times as likely to be classified in the HS subgroup as compared to the LS subgroup. Mean health-promoting lifestyle scores were lowest in the HS subgroup and highest in the LS subgroup. Differences in QoL among the subgroups were statistically significant, thus validating that the subgroups were characterized uniquely for identifying those symptoms with highest life impact. To our knowledge, we are the first to identify distinct subgroups of ACC-survivors differentiated by symptom cluster experience profiles. The findings warrant additional research to confirm the subgroup-specific symptom cluster experience profiles in larger studies of ACC-survivors. KeywordsCancer; oncology; adult survivors of childhood cancers; symptom cluster; latent variable mixture models; quality of life

Self-reported sleep quality and fatigue are associated with behavioral indicators of sleep quality at home in women with FM. Actigraphy is a useful objective measure of improved sleep outcomes in intervention studies.