Dataset Information

Association between Shift Work and Health Outcomes in the General Population in China: A Cross-Sectional Study.

ABSTRACT: Shift work may adversely affect individuals' health, thus, the current study aimed to investigate the association between shift work and health outcomes in the general population. A total of 41,061 participants were included in this online cross-sectional survey, among which 9612 (23.4%) individuals engaged in shift work and 31,449 (76.6%) individuals engaged in non-shift work. Multiple logistic regression analyses were conducted to explore the association between shift work and health outcomes (psychiatric disorders, mental health symptoms, and physical disorders). In addition, associations between the duration (≤1 year, 1-3 years, 3-5 years, 5-10 years, ≥10 years) and frequency of shift work (<1 or ≥1 night/week) and health outcomes were also explored. The results showed that compared to non-shift workers, shift workers had a higher likelihood of any psychiatric disorders (odds ratios [OR] = 1.80, 95% CI = 1.56-2.09, p < 0.001), mental health symptoms (OR = 1.76, 95% CI = 1.68-1.85, p < 0.001), and physical disorders (OR = 1.48, 95% CI = 1.39-1.57, p < 0.001). In addition, inverted U-shaped associations were observed between the duration of shift work and health outcomes. These results indicated that shift work was closely related to potential links with poor health outcomes. The findings highlighted the importance of paying attention to the health conditions of shift workers and the necessity of implementing comprehensive protective measures for shift workers to reduce the impact of shift work.

SUBMITTER: Gao N

PROVIDER: S-EPMC10886504 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between Shift Work and Health Outcomes in the General Population in China: A Cross-Sectional Study.

Gao Nan N Zheng Yongbo Y Yang Yingbo Y Huang Yuetong Y Wang Sanwang S Gong Yimiao Y Zeng Na N Ni Shuyu S Wu Shuilin S Su Sizhen S Zhang Zhibo Z Yuan Kai K Shi Le L Zhang Zhaohui Z Yan Wei W Lu Lin L Bao Yanping Y

Brain sciences 20240130 2

Shift work may adversely affect individuals' health, thus, the current study aimed to investigate the association between shift work and health outcomes in the general population. A total of 41,061 participants were included in this online cross-sectional survey, among which 9612 (23.4%) individuals engaged in shift work and 31,449 (76.6%) individuals engaged in non-shift work. Multiple logistic regression analyses were conducted to explore the association between shift work and health outcomes ...[more]

PMID: 38391721

Similar Datasets

Project description:ContextFew studies have examined the associations between sleep duration, shiftwork, and exercise to the infrequent menstruation, hyperandrogenism, and ovarian morphological changes observed in women with polycystic ovarian syndrome (PCOS).ObjectiveTo examine whether lifestyle factors, including short sleep duration, insufficient exercise, and shiftwork, alone or in combination, are associated with the reproductive and metabolic abnormalities typical of PCOS in a healthy population.Study design, size, durationProspective cross-sectional study of 231 women, including healthcare workers recruited for an annual health screen, healthy referral patients from the Women's Clinic and volunteers from the university community at the National University Hospital, Singapore, from 2011 to 2015.Main outcome measuresThe women completed a questionnaire, including their menstrual cycle length, sleep length, frequency of exercise and shift work. Hyperandrogenism (hirsutism score, testosterone, sex hormone binding globulin (SHBG)), ovarian morphology and function (anthral follicle count, ovarian volume, anti-mullerian hormone (AMH)), and metabolic measures (body mass index (BMI), waist hip ratio (WHR), blood pressure, fasting glucose, fasting insulin and fasting lipids) were examined through anthropometric measurements, transvaginal ultrasound scans, and blood tests.ResultsNo significant associations were observed between shift work, exercise or sleep duration and the androgenic and ovarian measures that define PCOS. However, women reporting fewer than 6 hours of sleep were more likely to report abnormal (short or long) menstrual cycle lengths (OR = 2.1; 95% CI, 1.1 to 4.2). Women who reported fewer than 6 hours of sleep had increased fasting insulin levels (difference in means = 2.13; 95% CI, 0.27 to 3.99 mU/L) and higher odds of insulin resistance (OR = 2.58; CI, 1.16 to 5.76). Lack of regular exercise was associated with higher mean fasting insulin (difference in means = 2.3 mU/L; 95% CI, 0.5 to 4.1) and HOMA-IR (difference in means = 0.49; 95% CI, 0.09 to 0.90) levels.ConclusionsWomen with insufficient sleep are at increased risk of menstrual disturbances and insulin resistance, but do not have the hyperandrogenism and polycystic ovarian morphology typical of PCOS.Wider implications of the findingsImproved sleep duration may help reduce the risks of diabetes or infertility. Shift work, exercise or sleep duration appear not to impact the androgenic and ovarian measures that define PCOS.

Project description:BackgroundeHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited. Chronic lung disease (CLD) has brought a large burden in LMIC, making it a relevant example for studying eHL. This study aims to explore eHL and its associated factors within the general population of China, encompassing sociodemographic characteristics, CLD knowledge, digital access, eHealth use and attitudes towards eHealth.MethodData were collected from November 2023 to January 2024 via online and hard-copy questionnaires among the general population in China. Descriptive analyses were performed to explore eHL, CLD knowledge, digital access, and attitudes towards eHealth at different sociodemographic levels. Univariable and multivariable regression analyses were performed to identify factors associated with eHL.Results439 valid questionnaires were collected. Participants demonstrated a mean eHL of 24.7 ± 8.2 and CLD knowledge of 5.9 ± 3.7, obtained a score of 6.9 ± 1.8 in attitudes towards eHealth. A notable percentage of participants (45/439, 10.3%) reported no digital access, especially those aged 66+, the unemployed, retired, those with a primary school or below degree and earning ≤ 1500 RMB monthly. Multivariable hierarchical regression analysis showed higher eHL was uniquely associated with younger age (b=-0.10, P < .001), higher educational level (b = 2.02, P < .001), higher income (b = 1.10, P < .001), having digital access (b = 6.35, P < .001), more frequent eHealth use (b = 1.14, P < .001), and more positive attitudes towards eHealth (b = 0.47, P = .003).ConclusionOur sample from the general population in China had a relatively low eHL and CLD knowledge level, but held a positive attitudes towards eHealth. A digital divide was noticed between the elderly, low socioeconomic population and other groups. Younger age, higher educational and income level, having digital access, more frequent eHealth use and more positive attitudes towards eHealth were significantly associated with higher eHL. Efforts at both individual and systematic levels should be made to improve eHL, and promote CLD knowledge and digital access, especially in disadvantaged populations. Moreover, there is a pressing need to develop and refine national and international standards for eHL.

Dataset Information

Association between Shift Work and Health Outcomes in the General Population in China: A Cross-Sectional Study.

Publications

Association between Shift Work and Health Outcomes in the General Population in China: A Cross-Sectional Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets