Suchergebnisse

Objective. To systematically review the effectiveness of intervention studies promoting diet and physical activity (PA) in nurses. Data Source. English language manuscripts published between 1970 and 2014 in PubMed, Scopus, CINAHL, and EMBASE, as well as those accessed with the PICO tool, were reviewed. Study Inclusion and Exclusion Criteria. Inclusion criteria comprised (1) nurses/student nurses working in a health care setting and (2) interventions where PA and/or diet behaviors were the primary outcome. Exclusion criteria were (1) non–peer-reviewed articles or conference abstracts and (2) interventions focused on treatment of chronic conditions or lifestyle factors other than PA or diet in nurses. Data Extraction. Seventy-one full texts were retrieved and assessed for inclusion by two reviewers. Data were extracted by one reviewer and checked for accuracy by a second reviewer. Data Synthesis. Extracted data were synthesized in a tabular format and narrative summary. Results. Nine (n = 737 nurses) studies met the inclusion criteria. Quality of the studies was low to moderate. Four studies reported an increase in self-reported PA through structured exercise and goal setting. Dietary outcomes were generally positive, but were only measured in three studies with some limitations in the assessment methods. Two studies reported improved body composition without significant changes in diet or PA. Conclusions. Outcomes of interventions to change nurses' PA and diet behavior are promising, but inconsistent. Additional and higher quality interventions that include objective and validated outcome measures and appropriate process evaluation are required.

Background. Shift work is characterized by employees working outside the standard hours of 7:00 am to 6:00 pm. Because shift work includes night work, the normal sleep–wake cycle (circadian rhythm) is disrupted, with potential consequences for shift workers' physical and mental health. Objectives. To assess the pooled effects of shift work on mental health and to evaluate whether these differ in men and women. Search Methods. We searched PubMed, Scopus, and Web of Science databases for peer-reviewed or government reports published up to August 2018 Selection Criteria. To be included, studies had to be longitudinal or case–control studies of shift work exposure associated with adverse mental health outcomes. For subanalyses, we grouped these outcomes as anxiety symptoms, depressive symptoms, or general poor mental health symptoms. Data Collection and Analysis. We followed the Meta-Analysis of Observational Studies in Epidemiology Group guidelines. We extracted adjusted risk estimates for each study to calculate pooled effect sizes (ESs) using random effect models and metaregression analysis to explore sources of heterogeneity. Main Results. We included 7 longitudinal studies, with 28 431 unique participants. Shift work was associated with increased overall risk of adverse mental health outcomes combined (ES = 1.28; 95% confidence interval [CI] = 1.02, 1.62; I(2) = 70.6%) and specifically for depressive symptoms (ES = 1.33; 95% CI = 1.02, 1.74; I(2) = 31.5%). Gender differences explained more than 90% of heterogeneity, with female shift workers more likely to experience depressive symptoms than female non–shift workers (odds ratio = 1.73; 95% CI = 1.39, 2.14). Authors' Conclusions. To our knowledge, this is the first meta-analysis to investigate the pooled effects of shift work on the risk of poor mental health, including subanalyses by type of poor mental health and gender. Shift workers, particularly women, are at increased risk for poor mental health, particularly depressive symptoms. Public Health ...

With relatively few exceptions, the majority of evidence concerning the health benefits of physical activity (PA) has been gleaned from high-income countries (HICs). In the opening editorial to this special issue, the editors suggest that under-representation of lower and middle-income countries (LMICs, often referred to as 'Global South') in the PA literature is more than 'just another research gap'. Arguably, this gap reflects very real differences in context, competing health and developmental priorities, available resources and undoubtedly, political will.

Objective: Sleeping less or more than the 7-8 h has been associated with mortality in the general population, which encompasses diversity in employment status, age and community settings. Since sleep patterns of employed individuals may differ to those of their unemployed counterparts, the nature of their sleep-mortality relationship may vary. We therefore investigated the association between self-reported sleep duration and all-cause mortality (ACM) or cardiovascular disease mortality (CVDM) in employed individuals. Data sources: Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses, searches between January 1990 and May 2020 were conducted in PubMed, Web of Science and Scopus. Inclusion/exclusion criteria: Included were prospective cohort studies of 18–64-year-old disease-free employed persons with sleep duration measured at baseline, and cause of death recorded prospectively as the outcome. Gray literature, case-control or intervention design studies were excluded. Data Extraction: Characteristics of the studies, participants, and study outcomes were extracted. The quality and risk of bias were assessed using the Newcastle-Ottawa Scale. Data synthesis: The pooled relative risks (RR) with 95% confidence intervals (CI) were obtained with a random-effects model and results presented as forest plots. Heterogeneity and sensitivity analysis were assessed. Results: Shorter sleep duration (≤6 h) was associated with a higher risk for (ACM) (RR: 1.16, 95% CI: 1.11 -1.22) and CVDM (RR: 1.26, 95% CI: 1.12 -1.41) compared to 7-8 h of sleep, with no significant heterogeneity. The association between longer sleep (≥8 h) and ACM (RR: 1.18, 95% CI:1.12 -1.23, P < 0.001) needs to be interpreted cautiously owing to high heterogeneity (I2 = 86.0%, P < 0.001). Conclusion: Interventions and education programs targeting sleep health in the workplace may be warranted, based on our findings that employed individuals who report shorter sleep appear to have a higher risk for ACM and CVDM.

Purpose.A retrospective, longitudinal study examined changes in participation in fitness-related activities and hospital claims over 5 years amongst members of an incentivized health promotion program offered by a private health insurer.Design.A 3-year retrospective observational analysis measuring gym visits and participation in documented fitness-related activities, probability of hospital admission, and associated costs of admission.Setting.A South African private health plan, Discovery Health and the Vitality health promotion program.Participants.304,054 adult members of the Discovery medical plan, 192,467 of whom registered for the health promotion program and 111,587 members who were not on the program.Intervention.Members were incentivised for fitness-related activities on the basis of the frequency of gym visits.Measures.Changes in electronically documented gym visits and registered participation in fitness-related activities over 3 years and measures of association between changes in participation (years 1—3) and subsequent probability and costs of hospital admission (years 4—5). Hospital admissions and associated costs are based on claims extracted from the health insurer database.Analysis.The probability of a claim modeled by using linear logistic regression and costs of claims examined by using general linear models. Propensity scores were estimated and included age, gender, registration for chronic disease benefits, plan type, and the presence of a claim during the transition period, and these were used as covariates in the final model.Results.There was a significant decrease in the prevalence of inactive members (76% to 68%) over 5 years. Members who remained highly active (years 1—3) had a lower probability (p < .05) of hospital admission in years 4 to 5 (20.7%) compared with those who remained inactive (22.2%). The odds of admission were 13% lower for two additional gym visits per week (odds ratio, .87; 95% confidence interval [CI], .801—.949).Conclusion.We observed an increase in fitness-related activities over time amongst members of this incentive-based health promotion program, which was associated with a lower probability of hospital admission and lower hospital costs in the subsequent 2 years. (Am J Health Promot 2011;25[5]:341-348.)