scholarly journals Caffeine Intake and Demographic Characteristics of Shift Workers: A Cross-sectional Analysis Using NHANES 2005–2010 Data (P14-001-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sanjiv Agarwal ◽  
Victor Fulgoni ◽  
John Caldwell ◽  
Harris R Lieberman
Keyword(s):  
Shift Work ◽  
Smoking Status ◽  
Economic Status ◽  
Night Shift ◽  
Sociodemographic Factors ◽  
Work Hours ◽  
Caffeine Intake ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Shift Workers

Abstract Objectives Caffeine is the most widely consumed stimulant in the world and sociodemographic factors including occupation are associated with its intake. Non-standard work schedules are required in various occupations, and it is difficult to adapt to them. Shift work is associated with poor sleep, inadequate diet and numerous adverse health effects. We assessed whether caffeine intake differs in individuals working various shifts since it is assumed shift workers use more caffeine to cope with fatigue and disrupted circadian rhythms. Methods The 24-h dietary recall data collected in NHANES 2005–2010 datasets (employed adults age 19–70 years, n = 8500) were used to estimate individual usual caffeine intake from caffeine-containing foods and beverages. Daily patterns of work were self-reported as: regular daytime shift; evening shift; night shift; rotating shift; or “other”. Regression analyses assessed associations of shift work with caffeine intake after adjustment for age, gender, ethnicity, smoking status, work hours, energy intake, and alcohol intake, all known to be associated with caffeine intake. Results Approximately 73.5% of employed adults were day shift workers and 26.5% were non-day shift workers. Day shift workers were more likely to be non-Hispanic white and of higher economic status compared to other shift workers. Mean 24-hour caffeine intake of day shift workers (204 ± 5 mg) was similar (P > 0.2) to that of evening, night, and rotating shift workers (209 ± 23, 184 ± 18, and 199 ± 15 mg, respectively). Regardless of work schedule, individuals consumed the most caffeine during morning hours. Evening and night shift workers consumed less caffeine during their work hours (76.8 ± 8.8 and 98.4 ± 18.5 mg, respectively) and more during non-work hours (131 ± 24 and 84.9 ± 9.5 mg, respectively) compared to day shift workers (157 ± 4 and 49.7 ± 3.4 mg during work hours and non-work hours, respectively; P < 0.01 for both). Conclusions Unexpectedly, daily caffeine intake was similar across different types of shift workers after adjustment for age, gender, ethnicity, smoking, economic status and other factors. Opinions or assertions contained herein are private views of the authors and not to be construed as official or reflecting views of the Army or DoD. Funding Sources DMRP/MRMC.

scholarly journals Demographics, sleep, and daily patterns of caffeine intake of shift workers in a nationally representative sample of the US adult population

SLEEP ◽  
2019 ◽  
Author(s):  
Harris R Lieberman ◽  
Sanjiv Agarwal ◽  
John A Caldwell ◽  
Victor L Fulgoni
Keyword(s):  
Shift Work ◽  
Adult Population ◽  
Night Shift ◽  
Sociodemographic Factors ◽  
Work Hours ◽  
Caffeine Intake ◽  
Poor Sleep ◽  
Shift Workers ◽  
Study Objective ◽  
Nationally Representative

Abstract Study Objective Caffeine is the most widely consumed stimulant in the world, and sociodemographic factors including occupation are associated with intake. Shift work, required in various occupations, is associated with poor sleep, inadequate diet, and adverse health effects. Using a large nationally representative database, demographics, sleep, and caffeine intake of US adults working various shifts were assessed. Methods The 24-hour dietary recall data from NHANES 2005–2010 (N = 8,500) were used to estimate caffeine intake from foods and beverages. Work shifts were self-reported as follows: regular day shift; evening shift; night shift; rotating shift; or other shift. Regression analyses assessed associations of shift work with caffeine intake after adjustment for sociodemographic factors. Results Approximately 74% of employed adults were day-shift workers and 26% were nonday-shift workers. Night-shift workers slept for 6.25 ± 0.09 hours per day, somewhat less than day-shift workers who only slept 6.83 ± 0.02 hours (p < .0001). Mean 24-hour weekday caffeine intake of evening-, night-, and rotating-shift workers (217 ± 23, 184 ± 19, and 206 ± 15 mg, respectively) was similar (p > .3) to day-shift workers (203 ± 5 mg). Regardless of work schedule, individuals consumed the most caffeine during morning hours. Evening- and night-shift workers reported consuming 36%–46% less caffeine during their work hours and 72%–169% more during nonwork hours than day-shift workers (p < .01). Conclusions Total daily caffeine intake of shift workers is similar to nonshift workers; most caffeine is consumed in the morning regardless of shift. Because shift workers consume less caffeine during regular work hours and more during nonwork hours than day workers, they may be using caffeine to, in part, optimize off-duty alertness.

Serotonin variations and sleep disorders among shift workers. A cross-sectional study

2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Serotonin Level ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Shift Workers ◽  
Blood Serotonin

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.

scholarly journals The Effect of Shift Work and Poor Sleep on Self-Reported Skin Conditions: A Survey of Call Center Agents in the Philippines

2019 ◽  
Vol 1 (2) ◽  
pp. 273-279 ◽  
Author(s):  
Francine Lu ◽  
Amanda Suggs ◽  
Harib Ezaldein ◽  
Jason Ya ◽  
Pingfu Fu ◽  
...  
Keyword(s):  
Circadian Rhythm ◽  
Shift Work ◽  
Skin Disease ◽  
Call Center ◽  
Night Shift ◽  
The Philippines ◽  
Poor Sleep ◽  
Shift Workers ◽  
Significant Difference ◽  
Skin Conditions

Night shift workers may have a disrupted circadian rhythm, which may contribute to the development of skin disease. The purpose of this study was to determine whether there is a significant difference in the prevalence and severity of self-reported skin disease between “regular” day shift workers compared to “graveyard” night shift workers. We conducted surveys from 630 call center agents in Manila, the Philippines, and they were analyzed regarding demographics, medical history, dermatologic history, lifestyle, and sleep. No difference was found in the prevalence of skin disease between shifts. However, night shift workers were worse sleepers. When compared to good sleepers, poor sleepers had a higher prevalence of skin disease with worse severity. Graveyard shift workers with poor sleep may have increased skin disease severity.

Relationship of work-related stress with obesity among Brazilian female shift workers

2020 ◽  
pp. 1-7
Author(s):  
Janaína Cristina da Silva ◽  
Anderson Garcez ◽  
Gabriela Herrmann Cibeira ◽  
Heloísa Theodoro ◽  
Maria Teresa Anselmo Olinto
Keyword(s):  
Shift Work ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Work Related Stress ◽  
Shift Workers ◽  
Night Shift Work ◽  
Work Related ◽  
Prevalence Of Obesity ◽  
Related Stress

Abstract Objectives: To explore the relationship between work-related stress and obesity among female shift workers. Additionally, we also aimed to test the interaction between shift work and work-related stress in this association. Design: A cross-sectional study was conducted among Brazilian female shift workers. Work-related stress was assessed through a demand–control questionnaire (Job Stress Scale). Work-related stress was defined by the presence of high psychological demands and low control at work. The obesity cases were defined as those with a BMI of 30 kg/m2 or more. Multivariate Poisson regression with robust variance was used to obtain the prevalence ratios (PR) and their respective 95 % CI. Setting: A group of industries located in southern Brazil in 2017. Participants: Four hundred and twenty female workers aged 18–59 years. Results: The overall prevalence of obesity was 30 % (95 % CI: 25·6, 34·4), and the presence of work-related stress was identified in 24 % (95 % CI: 19·9, 28·1) of the sample. We found an indication of interaction between work-related stress and night shift work on obesity (P = 0·026). After adjusting for confounding factors, work-related stress was associated with a 71 % greater probability of obesity (PR = 1·71; 95 % CI: 1·02, 2·87; P = 0·042) among female night shift workers. Conclusions: In this study, we revealed that exposure to work-related stress and night shift work were associated with obesity among female shift workers. Furthermore, the prevalence of obesity was high among female shift workers.

scholarly journals Association between work schedules and motivation for lifestyle change in workers with overweight or obesity: a cross-sectional study in Japan

BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e033000
Author(s):  
Yukihiro Tanikawa ◽  
Miho Kimachi ◽  
Minoru Ishikawa ◽  
Tomoichiro Hisada ◽  
Shunichi Fukuhara ◽  
...  
Keyword(s):  
Shift Work ◽  
Subgroup Analysis ◽  
Behavioural Change ◽  
Night Shift ◽  
Working Hours ◽  
Cross Sectional ◽  
Shift Workers ◽  
Long Working Hours ◽  
Night Shift Work ◽  
Overweight Or Obesity

ObjectiveTo investigate the association between work schedules and motivation for behavioural change of lifestyle, based on the transtheoretical model (TTM) in workers with overweight or obesity.DesignA cross-sectional observational study.SettingA healthcare examination centre in Japan.ParticipantsBetween April 2014 and March 2016, we recruited 9243 participants who underwent healthcare examination and met the inclusion criteria, namely, age 20–65 years, body mass index (BMI) ≥25 kg/m2and full-time workers.ExposureNight and shift (night/shift) workers were compared with daytime workers in terms of motivation for behavioural change.Primary and secondary outcome measuresThe primary outcome was action and maintenance stages of change (SOC) for lifestyle in TTM. In a subgroup analysis, we investigated interactions between characteristics, including age, sex, BMI, current smoking, alcohol habits, hours of sleep and working hours.ResultsOverall, 1390 participants (15.0%) were night/shift workers; night/shift workers were younger (median age (IQR): 46 (40–54) vs 43 (37–52) years) and the proportion of men was lesser (75.4 vs 60.9%) compared with daytime workers. The numbers of daytime and night/shift workers in the action and maintenance SOC were 2113 (26.9%) and 309 (22.2%), respectively. Compared with daytime workers, night/shift workers were less likely to demonstrate action and maintenance SOC (adjusted OR (AOR): 0.85, 95% CI: 0.74 to 0.98). In a subgroup analysis that included only those with long working hours (≥10 hours/day), results revealed a strong inverse association between night/shift work and action and maintenance SOC (AOR: 0.65, 95% CI: 0.48 to 0.86). A significant interaction was observed between long working hours and night/shift work (P for interaction=0.04).ConclusionsIn workers with overweight or obesity, a night/shift work schedule was associated with a lower motivation for behavioural change in lifestyle, and the association was strengthened in those with long working hours.

scholarly journals Factors Associated with Pre-Vaccination SARS-CoV-2 Infection Risk among Hospital Nurses Facing COVID-19 Outbreak

2021 ◽  
Vol 18 (24) ◽  
pp. 13053
Author(s):  
Luca Coppeta ◽  
Cristiana Ferrari ◽  
Andrea Mazza ◽  
Marco Trabucco Aurilio ◽  
Stefano Rizza
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Shift Work ◽  
Smoking Status ◽  
Night Shift ◽  
Nasopharyngeal Swab ◽  
Hospital Nurses ◽  
Shift Workers ◽  
Night Shift Work ◽  
Related Risk

The objective of this work was to evaluate the magnitude of COVID-19 spread and the related risk factors among hospital nurses employed in a COVID hospital in Rome, before the beginning of the vaccination programmes commenced in 2021. Participants periodically underwent (every 15–30 days) nasopharyngeal swab and/or blood sample for SARS-CoV-2 IgG examination. From 1 March 2020 to 31 December 2020, we found 162 cases of COVID-19 infection (n = 143 nasopharyngeal swab and n = 19 IgG-positive) in a total of 918 hospital nurses (17.6%). Most SARS-CoV-2-infected hospital nurses were night shift workers (NSWs), smokers, with higher BMI and lower mean age than that of individuals who tested negative. After adjusting for covariates, age (OR = 0.923, 95% C.I. 0.895–0.952), night shift work (OR = 2.056, 95% C.I. 1.320–2.300), smoking status (OR = 1.603, 95% C.I. 1.080–2.378) and working in high-risk settings (OR = 1.607, 95% C.I. 1.036–2.593) were significantly associated with SARS-CoV-2 hospital infection, whereas BMI was not significantly related. In conclusion, we found a high prevalence of SARS-CoV-2 infection among hospital nurses at a Rome COVID hospital in the pre-vaccination period. Smoking, young age, night shift work and high-risk hospital settings are relevant risk factors for hospital SARS-CoV-2 infection; therefore, a close health surveillance should be necessary among hospital nurses exposed to SARS-CoV-2.

scholarly journals Association between night-shift work, sleep quality and health-related quality of life: a cross-sectional study among manufacturing workers in a middle-income setting

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e034455
Author(s):  
Yin Cheng Lim ◽  
Victor C. W. Hoe ◽  
Azlan Darus ◽  
Nirmala Bhoo-Pathy
Keyword(s):  
Sleep Quality ◽  
Shift Work ◽  
Indirect Effect ◽  
Sleep Disturbances ◽  
Night Shift ◽  
Well Being ◽  
Cross Sectional ◽  
Shift Workers ◽  
Night Shift Work

ObjectivesNight-shift work may adversely affect health. This study aimed to determine the impact of night-shift work on health-related quality of life (HRQoL), and to assess whether sleep quality was a mediating factor.DesignA cross-sectional study.Setting11 manufacturing factories in Malaysia.Participants177 night-shift workers aged 40–65 years old were compared with 317 non-night-shift workers.Primary and secondary outcomesParticipants completed a self-administered questionnaire on socio-demographics and lifestyle factors, 12-item Short Form Health Survey V.2 (SF-12v2) and the Pittsburgh Sleep Quality Index (PSQI). The Baron and Kenny’s method, Sobel test and multiple mediation model with bootstrapping were applied to determine whether PSQI score or its components mediated the association between night-shift work and HRQoL.ResultsNight-shift work was associated with sleep impairment and HRQoL. Night-shift workers had significantly lower mean scores in all the eight SF-12 domains (p<0.001). Compared with non-night-shift workers, night-shift workers were significantly more likely to report poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction (p<0.001). Mediation analyses showed that PSQI global score mediated the association between night-shift work and HRQoL. ‘Subjective sleep quality’ (indirect effect=−0.24, SE=0.14 and bias corrected (BC) 95% CI −0.58 to −0.01) and ‘sleep disturbances’ (indirect effect=−0.79, SE=0.22 and BC 95% CI −1.30 to −0.42) were mediators for the association between night-shift work and physical well-being, whereas ‘sleep latency’ (indirect effect=−0.51, SE=0.21 and BC 95% CI −1.02 to −0.16) and ‘daytime dysfunction’ (indirect effect=−1.11, SE=0.32 and BC 95% CI −1.86 to −0.58) were mediators with respect to mental well-being.ConclusionSleep quality partially explains the association between night-shift work and poorer HRQoL. Organisations should treat the sleep quality of night-shift workers as a top priority area for action to improve their employees’ overall wellbeing.

scholarly journals Alterations in Rev-ERBα/BMAL1 ratio and glycated hemoglobin in rotating shift workers: the EuRhythDia study

2021 ◽  
Author(s):  
Stefano Rizza ◽  
Alessio Luzi ◽  
Maria Mavilio ◽  
Marta Ballanti ◽  
Arianna Massimi ◽  
...  
Keyword(s):  
Mononuclear Cells ◽  
Glycated Hemoglobin ◽  
Night Shift ◽  
Multivariate Regression Analysis ◽  
Peripheral Blood Mononuclear ◽  
Cross Sectional ◽  
Shift Workers ◽  
Metabolic Defects ◽  
Clock Gene Expression ◽  
Cell Counts

Abstract Objective To detect premature gluco-metabolic defects among night shift workers with disturbances in circadian rhythms. Design and methods We performed a hypothesis-generating, cross-sectional analysis of anthropometric, metabolic, lipid, and inflammation parameters, comparing active (a-NSW, n = 111) and former (f-NSW, n = 98) rotating night shift workers with diurnal workers (controls, n = 69). All participants were hospital nurses. We also evaluated the Pittsburgh Sleep Quality Index (PSQI) and assessed expression of transcription factors REV-ERBα and BMAL1 in peripheral blood mononuclear cells (PBMCs), as indicators of the molecular clock. Results Both a-NSW and f-NSW participants had significantly higher glycated hemoglobin (HbA1c) and white blood cell counts (WBC) (p < 0.001 for both), PSQI global score (p = 0.001) and diastolic blood pressure levels (p = 0.024) compared with controls. Expression of REV-ERBα/BMAL1 RNA in PBMC was significantly higher in a-NSW (p = 0.05) than in f-NSW or control participants. Multivariate regression analysis showed that working status and PSQI were independent determinants of higher HbA1c levels (p < 0.001). Conclusions We demonstrated that young, healthy night shift workers show subclinical abnormalities in HbA1c and changes in peripheral clock gene expression.

scholarly journals Shift Work and Dry Eye Disease in the Korean Working Population: A Population-Based Cross-Sectional Study

2021 ◽  
Vol 18 (10) ◽  
pp. 5492
Author(s):  
Joonho Ahn ◽  
So-Jung Ryu ◽  
Jihun Song ◽  
Hyoung-Ryoul Kim
Keyword(s):  
Shift Work ◽  
Dry Eye ◽  
Population Based ◽  
Cross Sectional Study ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Chi Square ◽  
Cross Sectional ◽  
Shift Workers ◽  
Chi Square Test

This study aimed to evaluate the association between shift work and dry eye disease (DED) in the general population. The 2011 Korea Health Panel (KHP) was used. Chi-square test and multivariate logistic regression were used to assess the relationship between shift work and DED. Stratification analysis was conducted by sex and age. Overall, the odds ratio (OR) of DED according to shift work did not showed significant results (adjusted OR = 1.230, 95% CI 0.758–1.901). When findings were stratified based on age older or younger than 40 years, the OR of DED increased to 2.85 (95% CI: 1.25–5.90) in shift workers under 40 years of age. Our results show an association between shift work and DED in a group of younger subjects.

scholarly journals Impact of Coffee/Green Tea/Soft Drink Consumption on the Risk of Hyperuricemia: A Cross-Sectional Study

2021 ◽  
Vol 18 (14) ◽  
pp. 7299
Author(s):  
Joong Seob Lee ◽  
Tae Jun Kim ◽  
Sung Kwang Hong ◽  
Chanyang Min ◽  
Dae Myoung Yoo ◽  
...  
Keyword(s):  
Green Tea ◽  
Reference Group ◽  
Smoking Status ◽  
Soft Drink ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Soft Drink Consumption ◽  
Increased Risk

This cross-sectional study aimed to investigate the association between hyperuricemia and the frequency of coffee, tea, and soft drink consumption, based on data from the Korean Genome and Epidemiology Study (KoGES) (2004–2016). We used the KoGES health examinee data, obtained from urban residents aged ≥ 40 years. Information on the participants’ medical history, nutrition (total calorie, protein, fat, and carbohydrate intake), frequency of alcohol consumption, smoking status, household income, and frequency of coffee/green tea/soft drink intake was collected. A logistic regression model was used to analyze the data. Subgroup analyses were performed according to the participant’s age and sex. Among 173,209 participants, there were 11,750 and 156,002 individuals with hyperuricemia and non-hyperuricemia controls, respectively. In an adjusted model, frequent coffee and green tea consumption did not increase the risk of hyperuricemia, compared to the “no intake” reference group. However, an adjusted odds ratio of hyperuricemia was 1.23 (95% confidence interval, 1.11–1.35, p < 0.001) for participants who reported consuming soft drinks ≥ 3 times per day, compared to the respective “no drink” reference group. Even after adjusting for nutritional and sociodemographic factors, frequent soft drink intake was associated with an increased risk of hyperuricemia. Meanwhile, neither coffee nor green tea intake was associated with an increased risk of hyperuricemia.

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