Article

Correlations between Insomnia and Sex, Work Experience, Shift and Body Max Index in Italian Nurses: A Scoping Profile Statement

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  • Local Health Authority of Bari
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Abstract

Aim The present study aimed to assess any association existing between insomnia according to sex, work experience, shift and BMI values in Italian nurses. Method An “ad hoc” questionnaire was created and administered online in October 2020. Data collected included: sex, years of work experience, shift work per day, BMI values, and insomnia levels. Findings A total of 341 Italian nurses were enrolled. Of these, 277 (81.23%) were females and n=64 (18.77%) males. No significant differences were assessed between ISI levels and sex, BMI scores, work experience and shift (p=.098; p=.978; p=.561; p=.222, respectively). Significant and inverse correlation was assessed between ISI values and sex (p=.019), BMI values (p=.033). While, no significant correlations were assessed between ISI levels and work experience (p=.805) and shift (p=.962), respectively. However, work experience reported significant correlations between BMI classes (p>.001) and shift (p<.001). Conclusion Data suggested potential health risk factors for the nursing workforce, which was associated with weight gain and developing Metabolic Syndrome. Therefore, the essence of the nursing profession could affect work performance and cause problems in the family and social life, as well as stress, anxiety, depression, fatigue, and irregular sleep patterns.

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Background and objectives: Burnout is a syndrome typically occurring in work environments with continuous and chronic stress. Physicians are at increased risk for burnout, as a result of 24-hour work, delayed work–life balance gratification, and the challenges associated with patient care. The aim of the present study was to evaluate the psychological parameters of burnout symptoms in relation to biomarkers of stress among physicians with different medical specialties. Materials and methods: A total of 303 physicians were contacted as potential participants. A comparison group of 111 individuals working outside medicine was used as a control to verify the results. The physicians were specialists in internal medicine, general surgery, pathology, and primary care. Serum cortisol, salivary cortisol, adrenocorticotropic hormone (ACTH), insulin (IRI), and prolactin levels were analyzed by chemiluminescence enzyme immunoassay (Access 2, Beckman Coulter). Fasting glucose in serum and glycated hemoglobin (HbA1C) in whole blood were measured using the automatic analyzer AU 480 Beckman Coulter system. Symptoms of burnout were measured with the Maslach Burnout Inventory (MBI). Results: The group with burnout presented significantly higher levels of serum and saliva cortisol, ACTH, prolactin, fasting glucose, and HbA1C compared with the control group. The correlation analysis between biomarkers showed a positive correlation with moderate strength between serum and saliva cortisol (r = 0.516, p = 0.01),as well as serum and saliva cortisol with ACTH (r = 0.418; r = 0.412, p = 0.01) and HbA1C (r = 0.382; r = 0.395, p = 0.01). A weak positive correlation was found between serum and saliva cortisol with prolactin (r = 0.236; r = 0.267, p < 0.01) and glucose (r = 0.271; r = 0.297, p < 0.01). In the multiple logistic regression model, saliva cortisol, HbA1C, and age were significantly associated with burnout (chi-square = 16.848, p < 0.032). Conclusion: Our findings demonstrated the interest of exploring biomarkers of stress related to burnout in health professionals.
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The shift work system may affect the temporal distribution of eating and diet quality. The paper aimed at reviewing a body of research examining the associations between night shift work and dietary habits among nurses. Data from the PubMed and Google Schoolar databases, as well as references lists in selected papers were searched. The authors used the following keywords: nurses, shift work, diet, nutrition. Papers published in English or Polish were selected for the review, and as many as 19 papers published in 2000−2017 were eventually identified. The studies varied greatly with respect to the study size, subjects’ age and the duration of night shift work. The major problem was the heterogeneity of the tools used for dietary assessment. Self-administered questionnaires were used and analyses were rarely adjusted for confounders. Alcohol consumption was the most frequently analyzed aspect (N = 8 studies), followed by the total energy (N = 7), protein, fat (N = 6), and carbohydrate intake, coffee and fruit consumption (N = 5). The results showed quite a consistent association of night work with higher coffee (caffeine) consumption, as well as lower alcohol, and fruit and vegetables consumption. Few studies also reported more frequent snacks consumption, later time of the last meal, eating at night, meals irregularity, and a poorer diet quality among night shift nurses when compared to the reference. The review showed some poor nutritional habits among nurses working night shifts. However, the topic warrants further attention, owing to the relatively small number of the studies performed so far, and their numerous methodological limitations. Med Pr. 2019;70(3):363–76
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The influence of meal frequency and timing on health and disease has been a topic of interest for many years. While epidemiological evidence indicates an association between higher meal frequencies and lower disease risk, experimental trials have shown conflicting results. Furthermore, recent prospective research has demonstrated a significant increase in disease risk with a high meal frequency (≥6 meals/day) as compared to a low meal frequency (1-2 meals/day). Apart from meal frequency and timing we also have to consider breakfast consumption and the distribution of daily energy intake, caloric restriction, and night-time eating. A central role in this complex scenario is played by the fasting period length between two meals. The physiological underpinning of these interconnected variables may be through internal circadian clocks, and food consumption that is asynchronous with natural circadian rhythms may exert adverse health effects and increase disease risk. Additionally, alterations in meal frequency and meal timing have the potential to influence energy and macronutrient intake.A regular meal pattern including breakfast consumption, consuming a higher proportion of energy early in the day, reduced meal frequency (i.e., 2-3 meals/day), and regular fasting periods may provide physiological benefits such as reduced inflammation, improved circadian rhythmicity, increased autophagy and stress resistance, and modulation of the gut microbiota
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Background: Insomnia is the most prevalent sleep disorder, but it is widely untreated and under-diagnosed in Saudi Arabia. Moreover, no tool to screen insomnia has been validated in the Saudi population in general or nurses in particular. This study, therefore, assessed the psychometric validity of the Insomnia Severity Index (ISI) in Saudi nurses. Methods: A cross-sectional study with purposive sampling was performed with nurses (n=134, age=21–48 years) from Al Majmaah, Saudi Arabia. Both conventional and online survey methods using the ISI, a brief measure of metacognition, and a socio-demographics questionnaire were employed. Results: No ceiling or floor effects were found in the ISI total score (8.84±5.07) or the factor scores, but the floor effect was found in the item scores. A two-factor model showed the best fit (Pclose: .97, comparative fit index [CFI]: 1.00, root mean square error of approximation [RMSEA]: 0.00, non-significant χ2test, χ2/df: 0.904). This model showed favorable configural, metric, scalar, and partial strict invariance across gender groups (CFI>.95, RMSEA<.05, χ2/df<3, non-significant Δχ2, ΔCFI≤.01). The internal consistency was adequate (Cronbach’s alpha=0.75, 0.78 for the two factors of the ISI). The lack of correlations between the ISI scores and the scores of the brief measure of the metacognition favored its divergent validity. Conclusion: The ISI showed adequate psychometric validity for screening insomnia among Saudi nurses.
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This study aimed to explore the prevalence of metabolic syndrome (MS) among various employee groups at a Taiwan hospital. We retrospectively compared the prevalence of MS, as defined by the Taiwan Department of Health, among employee groups (physicians, nurses, medical technicians, and administrative staff) at a medical center in northern Taiwan in 2011. Total cholesterol was used in lieu of high-density lipoprotein cholesterol values. The overall prevalence of MS among the 1673 men and 5117 women investigated was 12.0%. Physicians had the highest prevalence of MS (18.3%). Abdominal obesity and high blood sugar were the most (29.3%) and least (10.5%) prevalent abnormalities, respectively. The hospital employees had a moderate prevalence of MS. Physicians and administrative staff members had higher prevalence of MS than the other populations.
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Background: This study evaluated the prevalence, predictors and effects of Shift Work Sleep Disorder (SWSD) among nurses in a Nigerian teaching hospital. Methods: Eighty-eight nurses (44 each from the pool of shift and non-shift nurses), who emerged by simple random sampling, participated in the study. Socio-demographic data and health complaints were obtained with questionnaires. Each participant was assessed with Epworth sleepiness scale (ESS), insomnia severity index (ISI) and sleep log, while SWSD cases were ascertained by applying the International Classification of Sleep Disorders (ICSD-2) criteria. Body mass index, blood pressure, body temperature and salivary cortisol levels were also determined. Results: Generally, results showed that the shift group; comprising of shift nurses, recorded higher values of biophysical profiles and more health complaints than the non-shift group (control); comprising of non-shift nurses. Also, 19 (43.2%) of the shift nurses fulfilled the criteria for SWSD, on this basis, the shift group was divided into two: SWSD (n = 19) and No SWSD (n = 25). And within the shift group, the SWSD group had higher systolic (p = 0.014), diastolic (p = 0.012), and mean arterial (p = 0.009) blood pressures; they also recorded higher temperature (p = 0.001) , higher salivary cortisol levels (p = 0.027) and more health complaints. Conclusion: The results of this study indicate that rotating shift work among nurses is associated with increased level of health complaints and physiologic indices of stress as well as sleep impairment. Keywords: Nurses, Shift work sleep disorder, Circadian rhythm, Cortisol, Nigerian-Africans
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Objectives The aim of this study was to examine sex disparity in metabolic syndrome prevalence and its risk factors among Chinese adults. Methods Using the 2010–2012 China National Nutrition and Health Survey (CNNHS), a nationally representative cross-sectional study on nutrition and non-communicable chronic diseases, a total of 98,042 participants aged 18 years and older were included in the analysis. Dietary information was collected with a food frequency questionnaire (FFQ). Metabolic syndrome was defined according to the updated NCEP ATP III criteria. A multivariable logistic regression model was performed to examine the associations between sociodemographic and dietary factors with metabolic syndrome prevalence, and the results are presented using odd ratios (ORs) and 95% confidence intervals (CIs). Results The overall standardized prevalence of metabolic syndrome was 24.2% (24.6% in men and 23.8% in women). The metabolic syndrome prevalence was positively associated with age in men and women. The prevalence of metabolic syndrome was negatively associated with the physical activity level among men and inversely associated with the education level among women (P for trend < 0.01). Frequent consumption of fungi and algae was an underlying risk factor for metabolic syndrome in men, whereas frequent consumption of nuts and pork was associated with a decreased prevalence of metabolic syndrome in women. Conclusions The prevalence of metabolic syndrome in men was not different from that in women. There are sex-specific associations between multiple risk factors and metabolic syndrome.
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Objectives The aim of this review was to assess the risk of cardiovascular disease (CVD) events associated with shift work and determine if there is a dose-response relationship in this association. Method Electronic databases (PubMed, Scopus, and Web of Science) were searched for cohort or case-control control study designs in any population, reporting exposure to shift work as the main contributing factor to estimate CVD risk. For each study, adjusted relative risk (RR) ratios and 95% confidence intervals (CI) were extracted, and used to calculate the pooled RR using random-effect models. Meta-regression analysis was conducted to explore potential heterogeneity sources. Potential non-linear dose-response relationships were examined using fractional polynomial models. Results We included 21 studies with a total of 173 010 unique participants. The majority of the studies were ranked low-to-moderate risk of bias. The risk of any CVD event was 17% higher among shift workers than day workers. The risk of coronary heart disease (CHD) morbidity was 26% higher (1.26, 95% CI 1.10-1.43, I 2= 48.0%). Sub-group analysis showed an almost 20% higher risk of CVD and CHD mortality among shift workers than those who did not work shifts (1.22, 95% CI 1.09-1.37, I 2= 0% and 1.18, 95% CI 1.06-1.32 I 2=0%; respectively). After the first five years of shift work, there was a 7.1% increase in risk of CVD events for every additional five years of exposure (95% CI 1.05-1.10). Heterogeneity of the pooled effect size (ES) estimates was high (I 2=67%), and meta-regression analysis showed that sample size explained 7.7% of this. Conclusions The association between shift work and CVD risk is non-linear and seems to appear only after the first five years of exposure. As shift work remains crucial for meeting production and service demands across many industries, policies and initiatives are needed to reduce shift workers' CVD risk.
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Objective To estimate obesity prevalence among healthcare professionals in England and compare prevalence with those working outside of the health services. Design Cross-sectional study based on data from 5 years (2008–2012) of the nationally representative Health Survey for England. Setting England. Participants 20 103 adults aged 17–65 years indicating they were economically active at the time of survey classified into four occupational groups: nurses (n=422), other healthcare professionals (n=412), unregistered care workers (n=736) and individuals employed in non-health-related occupations (n=18 533). Outcome measure Prevalence of obesity defined as body mass index ≥30.0 with 95% CIs and weighted to reflect the population. Results Obesity prevalence was high across all occupational groups including: among nurses (25.1%, 95% CI 20.9% to 29.4%); other healthcare professionals (14.4%, 95% CI 11.0% to 17.8%); non-health-related occupations (23.5%, 95% CI 22.9% to 24.1%); and unregistered care workers who had the highest prevalence of obesity (31.9%, 95% CI 28.4% to 35.3%). A logistic regression model adjusted for sociodemographic composition and survey year indicated that, compared with nurses, the odds of being obese were significantly lower for other healthcare professionals (adjusted OR (aOR) 0.52, 95% CI 0.37 to 0.75) and higher for unregistered care workers (aOR 1.46, 95% CI 1.11 to 1.93). There was no significant difference in obesity prevalence between nurses and people working in non-health-related occupations (aOR 0.94, 95% CI 0.74 to 1.18). Conclusions High obesity prevalence among nurses and unregistered care workers is concerning as it increases the risks of musculoskeletal conditions and mental health conditions that are the main causes of sickness absence in health services. Further research is required to better understand the reasons for high obesity prevalence among healthcare professionals in England to inform interventions to support individuals to achieve and maintain a healthy weight.
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Background: Scientific evidence for the optimal number, timing, and size of meals is lacking. Objective: We investigated the relation between meal frequency and timing and changes in body mass index (BMI) in the Adventist Health Study 2 (AHS-2), a relatively healthy North American cohort. Methods: The analysis used data from 50,660 adult members aged ≥30 y of Seventh-day Adventist churches in the United States and Canada (mean ± SD follow-up: 7.42 ± 1.23 y). The number of meals per day, length of overnight fast, consumption of breakfast, and timing of the largest meal were exposure variables. The primary outcome was change in BMI per year. Linear regression analyses (stratified on baseline BMI) were adjusted for important demographic and lifestyle factors. Results: Subjects who ate 1 or 2 meals/d had a reduction in BMI per year (in kg · m⁻² · y⁻¹) (−0.035; 95% CI: −0.065, −0.004 and −0.029; 95% CI: −0.041, −0.017, respectively) compared with those who ate 3 meals/d. On the other hand, eating >3 meals/d (snacking) was associated with a relative increase in BMI (P < 0.001). Correspondingly, the BMI of subjects who had a long overnight fast (≥18 h) decreased compared with those who had a medium overnight fast (12–17 h) (P < 0.001). Breakfast eaters (−0.029; 95% CI: −0.047, −0.012; P < 0.001) experienced a decreased BMI compared with breakfast skippers. Relative to subjects who ate their largest meal at dinner, those who consumed breakfast as the largest meal experienced a significant decrease in BMI (−0.038; 95% CI: −0.048, −0.028), and those who consumed a big lunch experienced a smaller but still significant decrease in BMI than did those who ate their largest meal at dinner. Conclusions: Our results suggest that in relatively healthy adults, eating less frequently, no snacking, consuming breakfast, and eating the largest meal in the morning may be effective methods for preventing long-term weight gain. Eating breakfast and lunch 5–6 h apart and making the overnight fast last 18–19 h may be a useful practical strategy.
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Objetivos: Estimar la prevalencia de síndrome metabólico (SM) entre las enfermeras del Hospital Juan A. Fernández (HJAF) y determinar si trabajo, descanso, dieta y estado de salud son sus predictores. Material y métodos: Para el primer objetivo, el diseño del estudio es descriptivo, observacional y transversal. Para el segundo, comparación de muestras independientes, multivariable, observacional y transversal. Se estudió a 192 enfermeras entre octubre de 2008 y marzo de 2009. Se les realizó una encuesta autoaplicable con indicadores que podrían ser predictores de SM. Se tomaron mediciones antropométricas, presión arterial y extracción sanguínea para analizar glucemia en ayunas, colesterol unido a lipoproteínas de alta densidad y triglicéridos plasmáticos. Resultados: El 35 y el 41% del personal de enfermería tenían sobrepeso y obesidad respectivamente. Un 92% del total tenía obesidad centroabdominal. La prevalencia de SM hallada es del 33,3% (intervalo de confianza del 95%, 26,7%-40,5%). Las afectas de SM tenían una media de edad de 53 ± 9 años. En el análisis bivariable se encontraron diferencias estadísticamente significativas entre el SM y las variables edad, tiempo de ejercicio profesional, tiempo trabajado en turno de noche y estudios realizados. Conclusiones: La prevalencia de SM de enfermeras del HJAF fue de 64/192 (33,3%; intervalo de confianza del 95%, 26,7%-40,5%). Frente a la edad, los indicadores tiempo trabajado durante turno noche y estudios realizados no muestran diferencias estadísticamente significativas. Estos resultados indicarían que la edad es la variable más relevante para predecir la aparición de SM en la población de enfermeras.
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The International Agency for Research on Cancer convened a workshop on the relationship between body fatness and cancer, from which an IARC handbook on the topic will appear. An executive summary of the evidence is presented.
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Aims: Why are some healthy male shift workers (SWers) overweight [body mass index (BMI) >25 and <30] if not obese (BMI >30)? Seven risk factors potentially causing overweight and obesity were evaluated, namely (1) age, (2) physical/sports activity, (3) length of exposure to shift work (SW), (4) speed of shift rotation, (5) tolerance to SW, (6) internal desynchronization of circadian rhythms and (8) night eating (nocturnal nibbling). "New" as well as "old" data, acquired from longitudinal and individual time series of 5-56 days recording span, were reanalyzed. The data were analyzed from a set of field studies of 67 SWers and 53 non-shift workers (non-SWers). To estimate the respective weight of these factors, a multiple regression analysis (MRA) was used among other statistical tools. A similar age-related increase in BMI was validated (with p < 0.001) in both SWers and non-SWers. However, in SWers, desynchronization of rhythms increases the effect of age on BMI. Length of exposure to SW, tolerance to SW and speed of rotation do not seem to play a role as risk factors. Major effects are likely to relate to a sedentary lifestyle (lack of regular physical or sport activities) (MRA with p < 0.01), as well as, presumably, to a nocturnal nibbling of carbohydrates, which mimics the night eating syndrome.
Article
Purpose: To analyze the differences in mindfulness level and emotional regulation skills, as cognitive reappraisal and expressive suppression subdimensions, according to sex and years of work experience in a sample of Italian nurses directly involved in the care of coronavirus disease 2019 (COVID-19) patients. Then, correlations were also performed in order to evidence relationships between the mindfulness tendency and the emotional regulation skills, both in cognitive reappraisal and expressive suppression, too. Design of study: Descriptive correlational study. Methods: In June 2020, an online questionnaire was administered. Data relating to sex and years of work experience, the Mindfulness Attention Awareness Scale (MAAS), and the Emotion Regulation Questionnaire (ERQ) in the cognitive reappraisal and expressive suppression subdimensions were collected. Findings: Two hundred nurses were enrolled. Males recorded higher MAAS values compared to females (p = .001). No significant differences were registered in the MAAS scores according to years of work experience and regarding the ERQ subscales according to sex and work of experience, too. Also, any correlations were reported between MAAS and ERQ subscales. Conclusions: Future training on the basic principles of mindfulness and Emotion Regulation were considered a priority in nurses to better self-modulate their own beings, particularly during the pandemic period.
Article
Background Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) (COVID-19) infection provokes serious clinical consequences, which in many situations need hospitalization of the patient in Intensive Care Unit. Additionally, SARS-COV-2 infection can indirectly cause deaths in aged individuals as well as in patients with comorbidities. Objective To evaluate the effects of nutrition during the COVID-19 pandemic in both hospitalized patients and in the general population. Methods Authors searched Medline (PubMed), Web of Science, EMBASE, Cochrane Library, Google, and Institutional websites for medical subheadings terms and free full text referred to “SARS-CoV-2”, COVID-19”, “nutrition”, “immune system”, before 31st July 2020. Results A total of 20 articles describing different nutritional interventions for patients with SARS-CoV-2 infection focusing on the general population have been included. Of these, 6 studies are dealing with nutritional interventions for patients with SARS-CoV2 infection and the others are focalized on a potential beneficial effect exerted by a Mediterranean-type diet, related to the supplementation of micronutrients and vitamins. Conclusion A correct lifestyle even including the consumption of nutrient largely present in MD, may be beneficial for preventing or improving prognosis in the SARS-CoV-2 infection.
Article
Background The first wave of coronavirus disease 2019 was a global event for which nurses had limited time to prepare before receiving an influx of high-acuity patients and navigating new plans of care. Objectives To understand nurses’ lived experiences during the COVID-19 outbreak and to examine their resiliency. Methods A convergent mixed methods design was applied in this study. For the quantitative portion, resiliency was measured by using the Brief Resilience Coping Scale. Colaizzi’s phenomenological method was used for qualitative analysis. Results A total of 43 nurses participated in the study. The mean score on the Brief Resilience Coping Scale was 14.4. From 21 robust narratives, Colaizzi’s qualitative method yielded 5 themes to describe the experience of being a nurse during the pandemic. Conclusions Understanding the lived experience provides a unique lens through which to view nursing during a global pandemic, and it serves as a starting point to ensure future safeguards are in place to protect nurses’ well-being.
Article
Background: the aim of this study was to evaluate the burnout syndrome among nurses who are engaged in the care of patients with coronavirus disease (cOviD-19). a cohort observational- survey study was carried among italian nurses who work in the italian intensive care Unit (icU) during the pandemic cOviD-19 period. MethODs: the questionnaire was published online on Google form, modules section, from March 25, 2020 to april 26, 2020. The questionnaire contained a first part of demographic data, as: gender, years of experience, if the nurse interviewed at the time of the pandemic cOviD-19 event was already working in an icU or if, due to the urgency of the context, he/she was transferred to an icU that was set up during this period. then, the Maslach Burnout inventory (MBi) questionnaire was administered to evaluate the burnout level among nurses who are in direct contact with critically ill patients with cOviD-19. resULts: 291 nurses answered the survey. With the MBi threshold values in mind, it can be seen that the clinical condition of burnout can be configured for all three dimensions, both for women and men. As regards the dimension of emotional exhaustion, female nurses are more exposed to the phenomenon than men (P<0.001). however, for the other two dimensions there are no statistically different differences between the two sexes (depersonalization: P=0.809; personal accomplishment: P=0.268). cOncLUsiOns: Burnout levels are high among nurses. surely the situation since cOviD-19 has accentuated the result, regardless of the years of experience or if the nurses have always worked in opposed intensive care units have been transferred due to the health emergency. also interesting is the aspect of the trend of burnout levels between female nurses who are they are more affected by emotional exhaustion than male nurses. © 2020 Edizioni Minerva Medica Online version at http://www.minervamedica.it
Article
Background A new Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) (COVID-19) infection was reported in Wuhan, China, and quickly spread, becoming a global health emergency. Literature shows how nursing work is particularly stressful and how this condition is closely connected to the development of anxiety disorders, sleep quality and can also influence eating behavior with consequent variations in BMI values. Objective The study aims to investigate and correlate the levels of anxiety, insomnia and Body Mass Index among nurses directly involved in the care of patients in the intensive care units with the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) infection. Method An observatory study was conducted assessing and correlating the anxiety and insomnia levels and BMI values of each nurse before (until December 2019) and during (until May 2020) the pandemic. Results In total, 291 Italian nurses joined the study. There are no statistically significant differences between female nurses and male nurses for both groups of participants with or without anxiety (p=0.655). Female nurses with mild, moderate and severe insomnia levels were statistically more numerous than male nurses (p=0.025). For the same BMI differences, the levels of anxiety and insomnia were statistically significant between them (p<0.001). Conclusion Nurses engaged in the treatment of the most serious patients with Covid-19 are subjected to very high levels of stress due to the nature of the nursing job, shifting, poor rest, anxiety due to health emergency period and weight gain.
Article
Objectives: We compared COVID-19 risk management, fear of infection and fear of transmission of infection among frontline employees working within eldercare, hospital/rehabilitation, psychiatry, childcare and ambulance service and explored if group differences in fear of infection and transmission could be explained by differences in risk management. We also investigated the association of risk management with fear of infection and fear of transmission of infection among eldercare personnel. Methods: We used cross-sectional questionnaire data collected by the Danish labour union, FOA . Data were collected 5½ weeks after the first case of COVID-19 was registered in Denmark. Data for the first aim included 2623 participants. Data for the second aim included 1680 participants. All independent variables were mutually adjusted and also adjusted for sex, age, job title and region. Results: Fear of infection (49%) and fear of transmitting infection from work to the private sphere (68%) was most frequent in ambulance service. Fear of transmitting infection during work was most frequent in the eldercare (55%). Not all differences in fear of infection and transmission between the five areas of work were explained by differences in risk management. Among eldercare personnel, self-reported exposure to infection and lack of access to test was most consistently associated with fear of infection and fear of transmission, whereas lack of access to personal protective equipment was solely associated with fear of transmission. Conclusion: We have illustrated differences and similarities in COVID-19 risk management within five areas of work and provide new insights into factors associated with eldercare workers' fear of infection and fear of transmission of infection.
Article
Background: The Rapid Assessment Disuse Index (RADI) is a brief tool aimed to promptly assess primary care patients' overall physical inactivity and sedentary behavior. This study examines the relation between physical inactivity and sitting time (RADI) to cardiometabolic risk among primary care patients. Methods: Survey data and electronic medical record information were collated to explore the association between RADI scores (cumulative and sitting) to metabolic syndrome (and components) among women and men, using multivariable logistic regression. Results: Among women, the cumulative RADI score was not significantly associated with metabolic syndrome. However, the RADI sitting score was related to low high-density lipoprotein cholesterol and metabolic syndrome. That is, a transition to a higher RADI sitting score by 1 unit (vs remaining in the score) was related with a 1.4 and 1.3 times higher odds for having low high-density lipoprotein cholesterol (95% confidence interval, 1.05-1.87) and metabolic syndrome (95% confidence interval, 1.02-1.64), respectively. Among men, no significant relations were found. Conclusions: The RADI sitting score is positively and significantly related to high-density lipoprotein and metabolic syndrome among women, yet not men. Due to the RADI's potential clinical utility, future research should attempt to examine these relations in larger, more robust samples and adjudicated outcomes using a prospective design.
Article
Background The association of shiftwork and the risk of obesity in nurses has been inconsistent in the literature. Objectives We therefore conducted a systematic review and meta-analysis to quantitatively summarize this association in nurses. Methods We systematically searched PubMed, Ovid MEDLINE, Cochrane Library, EMBASE and Web of Science from inception until April 2020 for studies that examined the relationship between shift work and obesity in nurses. Pooled odds ratio (OR) was calculated using a fixed- or random-effect model. The quality of each study was evaluated by using the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I) tool. Two researchers independently assessed eligibility and extracted data. The whole process followed the PRISMA statement. Results We included 11 eligible studies with a total of 74,651 nurses in this study. All of the studies were found to be low or moderate risk of bias according to the ROBINS-I tool. The pooled estimate of the risk of obesity in shift work nurses as compared to non-shift work nurses did not achieve statistical significance (OR = 1.05, 95% CI = 0.97–1.14). However, the risk of obesity was significantly higher in the sub-analysis of night-only shift work nurses (OR = 1.12, 95% CI = 1.03–1.21). In a sub-analysis limited only to the studies of female nurses, the obesity risk was found not to be statistically significant (OR = 1.09, 95% CI = 0.84–1.35). For different regions of study population, shift work was associated with a 36% increased risk of obesity in America (OR = 1.36, 95% CI = 1.30–1.42) and 1% increased risk in Europe and Australia (OR = 1.01, 95% CI = 1.00–1.03). The BMI cut-off for obesity varied in the included studies. When using a cut-off of BMI ≥ 30 kg/m² for obesity, our subgroup analysis shows a positive relationship between obesity and nurse shift work (OR = 1.12, 95% CI = 1.03–1.20). Conclusions This is the first systematic review and meta-analysis confirming that shiftwork may play a significant role in the development of obesity among nurses, especially in America, Europe and Australia. This was found to be particularly true for night only shift work nurses. Implementation of health policies and a better night shift schedule are needed in the hospital's management to effectively protect nurses from obesity, and the health risks associated with it.
Article
Novel coronavirus disease 2019 is the disease caused by the novel coronavirus originally from Wuhan, China. Its pathophysiology is poorly understood, but it is known to be contagious and deadly. Multiple symptoms and complications from the disease have been described, with the most common complaints being respiratory. Nursing care of patients with novel coronavirus disease 2019 is largely supportive, but it should include a strong focus on mitigating the spread of infection to staff, other patients, and the community.
Article
Background Rotating night shift contributes to the development of metabolic syndrome and relevant diseases. However, the contribution of different aspects of rotating night shift is rarely studied. Aim To investigate the association of frequency and duration of rotating night shift with metabolic parameters. Methods A cross-sectional study was conducted in nurses. Socio-demographic characteristics, duration and frequency of rotating night shift, and metabolic parameters including body mass index (BMI), fasting blood glucose(FBG), blood pressure (BP), triglyceride, total cholesterol (TC), low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C), were collected. Sleep quality and perceived stress were assessed with Pittsburgh Sleep Quality Index and Perceived Stress Scale respectively. Ratio of rotating night shift years to age (RRSYA) was calculated to present cumulative effect. Metabolic parameters were log-transformed and z-transformed in sequence. Multiple linear regressions were applied to explore the effect of frequency and RRSYA on metabolic parameters. Mediation analysis was used to estimate potential mediating effect of sleep quality and perceived stress. Results Frequency of rotating night shift was significantly associated with elevated FBG and BMI, and decreased LDL-C. RRSYA was significantly associated with higher BMI, TC, LDL-C, BP and FBG. Sleep quality exhibited significant mediating effect between rotating night shift features and FBG and BMI. Conclusions Our results suggest that frequency and RRSYA are associated with metabolic profile alterations, but the effects are different. Sleep quality appears to be an important mediator of the night shift’s metabolic effect. Proper shift arrangement and sleep quality assurance may reduce the negative metabolic changes.
Article
Background: Some studies indicated night shift work can be associated with the higher risk of metabolic syndrome (MetS). However, the effect of both rotating and extended night shift work (12-hr rotating night) on MetS has not been well-known. We aimed to examine and clarify the association among petrochemical workers. Methods: We recruited 1575 eligible workers in this study. According to shift work schedules the participants were divided into following groups: 12-hr fixed day and 12-hr rotating night. Biochemical data, including fasting blood sugar and lipid panel (TC, TG, LDL, and HDL) were determined by blood tests. Demographic data was obtained by interview at the time of blood pressure and anthropometric indices measurements. The National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) was applied to identify subjects with MetS. The Logistic regression models were used to predict risk of MetS and its components between study groups. Results: The prevalence of MetS was showed 18.4% (290/1575). We found a significant difference between study groups in the prevalence of MetS (p < 0.05). The odds ratios (ORs) and 95% confidence intervals (CIs) in the 12-hr rotating night group in comparison to the 12-hr fixed day shift group according to unadjusted and full adjusted logistic regression models were estimated 1.26 (0.96, 1.65) and 1.34 (1.01, 1.76), respectively. Among MetS components, we observed the significant higher risk in TG and HDL (P < 0.05). Conclusion: This study suggests 12-hr rotating night shift as the high-risk group for MetS. More studies needed to confirm our findings.
Article
Objective: It is known that total energy intake and its distribution during the day influences human anthropometric characteristics. However, possible association between variability in total energy intake and obesity has thus far remained unexamined. This study was designed to establish the influence of energy intake variability of each daily meal on the anthropometric characteristics of obesity. Methods: A total of 521 individuals of Czech Caucasian origin aged 16–73 years (390 women and 131 men) were included in the study, 7-day food records were completed by all study subjects and selected anthropometric characteristics were measured. The interquartile range (IQR) of energy intake was assessed individually for each meal of the day (as a marker of energy intake variability) and subsequently correlated with body mass index (BMI), body fat percentage (%BF), waist-hip ratio (WHR), and waist circumference (cW). Results: Four distinct models were created using multiple logistic regression analysis and backward stepwise logistic regression. The most precise results, based on the area under the curve (AUC), were observed in case of the %BF model (AUC=0.895) and cW model (AUC=0.839). According to the %BF model, age (p<0.001) and IQR-lunch (p<0.05) seem to play an important prediction role for obesity. Likewise, according to the cW model, age (p<0.001), IQR-breakfast (p<0.05) and IQR-dinner (p <0.05) predispose patients to the development of obesity. The results of our study show that higher variability in the energy intake of key daily meals may increase the likelihood of obesity development. Conclusions: Based on the obtained results, it is necessary to emphasize the regularity in meals intake for maintaining proper body composition.
Article
Goal: Our study focuses on examining the relationship between the frequency and timing of meals and changes in BMI in the Adventist Health Study-2 (AHS-2) which represents a relatively healthy population in North America. Methodology: A longitudinal analysis was undertaken using data from 48 673 individuals monitored over an average period of 7.43 ± 1.24 years. The number of meals per day, length of nighttime fasting, eating breakfast and timing of the largest meal of the day (breakfast 5-11 a.m., lunch noon-4 p.m. or supper/dinner 5-11 p.m.) were used as independent variables. The primary output was the change in body mass index (BMI) once in a year. Linear regression analyses were adjusted for all important demographic factors and lifestyle factors. Results: Consumption of 1 and 2 meals a day was associated with decrease in BMI (-0.04; 95% CI -0.06 to -0.03 and -0.02; 95% CI -0.03 to -0,01 kg.m-2 per year, respectively). On the other hand, consumption of 3 or more meals a day was associated with increase in BMI, in a linear relation (p < 0.001). BMI of those who skipped breakfast increased (0.029; 95% CI 0.021-0.037 kg.m-2 per year; p = 0.002) as compared to no BMI change in those who had breakfast (-0.0002; 95% CI -0.005 to + 0.004 kg.m-2 per year). Those, whose largest meal of the day was breakfast, recorded no significant change in BMI (-0.002 95% CI -0.008 to +0.004 kg.m-2 per year). On the contrary, the largest supper was associated with the greatest increase in BMI (0.034; 95% CI 0.029-0.040 kg.m-2 per year). Conclusion: Our results indicate that eating less frequently, consuming breakfast and having the largest meal in the morning hours may be effective measures to prevent weight gain.Key words: body mass index (BMI) - frequency and timing of meals - body mass regulation - breakfast.
Article
Background: Reported associations between shiftwork and health have largely been based on occupation-specific, or single sex studies that might not be generalizable to the entire working population. The objective of this study was to investigate whether shiftwork was independently associated with obesity, diabetes, poor sleep and well-being in a large, UK general population cohort. Methods: Participants of the UK Biobank study who were employed at the time of assessment were included. Exposure variables were self-reported shiftwork (any shiftwork and night shiftwork); and outcomes were objectively measured obesity, inflammation and physical activity and self-reported lifestyle, sleep and well-being variables, including mental health. Results: Shiftwork was reported by 17% of the 277168 employed participants. Shiftworkers were more likely to be male, socioeconomically deprived and smokers, and to have higher levels of physical activity. Univariately, and following adjustment for lifestyle and work-related confounders, shiftworkers were more likely to be obese, depressed, to report disturbed sleep, and to have neurotic traits. Shiftwork was independently associated with multiple indicators of poor health and wellbeing, despite higher physical activity, and even in shiftworkers that did not work nights. Shiftwork is an emerging social factor that contributes to disease in the urban environment across the working population.
Article
Objective Insomnia severity index (ISI) is a widely used scale in various demographic groups but its psychometric properties have not been established in a sample of Indian subjects. This study was conducted as a preliminary study to extend and confirm the applicability of ISI to an Indian population of university students and to establish its correlation with the Pittsburgh Sleep Quality Index (PSQI). Materials and methods The study was conducted among the student population of Jamia Millia Islamia, New Delhi, India, with due approval by the institutional ethical committee. Twenty-five poor sleepers with a mean age of 25.24±7.04 years and a BMI of 24.2±2.5 kg/m Results The test-retest reliability for ISI (intra-class correlation coefficient, ICC Conclusion The study findings suggest that ISI has excellent internal consistency, test-retest reliability and validity for the university population of poor sleepers in India. Hence, it can prove to be a good tool for screening insomnia in the current population.
Article
Across the world, hospital nurses experience a high level of burnout. Exploring biochemical markers of burnout could help to understand physiological changes and may provide useful evidence for preventing burnout symptoms. The current study included 94 female nurses from one Chinese third-level hospital. The Maslach Burnout Inventory-General Survey (MBI-GS) was used to investigate burnout symptoms: emotional exhaustion, cynicism, reduced professional efficacy, as well as the burnout average. The HPT axis was tested by checking blood levels of thyroid-stimulating hormone (TSH), thyroxin (T4) and triiodothyronine (T3). Nonparametric tests showed that no significant difference in biochemical markers was found between the burnout and non-burnout groups. Spearman correlation analysis found that biochemical markers had no significant association with burnout symptoms, except weakly negative associations between reduced professional efficacy and blood pressure and heart rate. These findings show a rather poor correlation of the HPT axis on burnout symptoms. Expanding the biochemical index of the HPT axis, comparing well-defined samples and using longitudinal studies are recommended for further studies.