Alcohol consumption and sleep quality: a community-based study

Zheng, Dandan; Yuan, Xiaodong; Ma, Chaoran; Liu, Ying; VanEvery, Hannah; Sun, Yujie; Wu, Shouling; Gao, Xiang

doi:10.1017/s1368980020004553

Cited by 43 publications

(37 citation statements)

References 28 publications

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“…Current smoking, alcohol drinking and chronic diseases were also not found to be associated with insomnia in the present study. Recently, a meta-analysis and a large-scale community-based cohort study demonstrated that smoking and higher alcohol consumption was associated with poorer sleep quality and insomnia [ 40 , 41 ]. However, neither of these two studies investigated the subgroup of older adults, even though the population in both studies included older adults.…”

Section: Discussionmentioning

confidence: 99%

Factors associated with insomnia in older adult outpatients vary by gender: a cross-sectional study

et al. 2021

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Background Insomnia is a common sleep disturbance in older adults and is associated with many poor health outcomes. This study aimed to explore factors associated with insomnia in older adult outpatient clinics, and to further analyze the influence of gender on factors associated with insomnia. Methods This cross-sectional study was conducted in the outpatient clinics of a tertiary hospital in Southern Taiwan from July to September 2018. A total of 400 consecutive subjects aged 60 years or older were recruited. Insomnia was defined as a score of ≥6 points on the Athens Insomnia Scale (AIS). Socio-demographics, health behaviors and clinical data were collected by face-to-face interview. Multivariable logistic regression was adopted for statistical analysis of the entire sample and stratified by gender. Results Participants’ mean age was 74.74 ± 8.54 years, and the majority (93%) had more than one chronic disease. The prevalence of insomnia accounted for 30% (120/400) of all subjects, with males 22.9% (46/201) and females 37.2% (74/199). Gender, appetite, exercise, depressive symptoms, and sleep-related conditions such as short sleep duration, sleeping pills usage, medium-high risk of obstructive sleep apnea (OSA) and restless leg syndrome (RLS) were factors associated with insomnia in older adults. Exercise, sleeping pills usage, and RLS were independently associated with insomnia only in men, while appetite and medium-high risk of OSA were associated with insomnia in women only. In addition, after further adjusting for covariates, prevalence of the insomnia-related symptoms such as sleep induction, total sleep duration, sleep quality and sleepiness during the day was significantly higher in females than in males. Conclusions Insomnia symptoms are highly prevalent among older adults, predominantly females. Significant differences are found between genders in factors associated with insomnia and insomnia-related symptoms. Understanding gender differences may help clinicians to modify associated factors when managing older adults with insomnia.

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Section: Discussionmentioning

confidence: 99%

Factors associated with insomnia in older adult outpatients vary by gender: a cross-sectional study

et al. 2021

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“…The global prevalence of hypertension has shown an upward trend, from 17.3% in 1990 to 20.5% in 2015. 1 2 In China, it is estimated that 245 million adults have hypertension, accounting for 23.2% of the total. 3 Hypertension can lead to numerous adverse health outcomes, such as cardiovascular and cerebrovascular diseases and premature death.…”

Section: Introductionmentioning

confidence: 99%

“…Hypertension is a worldwide public health issue. The global prevalence of hypertension has shown an upward trend, from 17.3% in 1990 to 20.5% in 2015 1 2. In China, it is estimated that 245 million adults have hypertension, accounting for 23.2% of the total 3.…”

Section: Introductionmentioning

confidence: 99%

Interaction effect between overweight/obesity and alcohol consumption on hypertension risk in China: a longitudinal study

et al. 2022

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ObjectiveTo explore the interaction effect between overweight/obesity and alcohol consumption on hypertension risk.DesignA longitudinal study of the independent and combined effects of hypertension risk factors.SettingTwelve provinces in China, including Beijing Liaoning, Heilongjiang, Shanghai, Jiangsu, Shandong, Henan, Hubei, Hunan, Guangxi, Guizhou and Chongqing.ParticipantsLongitudinal data of China Health and Nutrition Survey, collected between 2011 and 2015, were used in this study. A total of 13 121 residents from 12 provinces were included and completed physical examinations and questionnaires at baseline.OutcomeFirst incidence of hypertension.ResultsOver a mean follow-up of 4 years, 690 incident hypertension cases were reported. After adjusting for age, gender, education level, marital status, physical activity, diabetes and smoking, high body mass index (BMI) and light drinking (OR=5.07, 95% CI 3.06 to 8.41), high waist circumference (WC) and light drinking (OR=4.81, 95% CI 2.92 to 7.91), high waist hip ratio and light drinking (OR=2.85, 95% CI 1.84 to 4.42) were the highest risk of all participants in the three combinations. Multiplicative interaction measures were statistically significant in overweight/obesity and drinking/light drinking/heavy drinking categories in men (p<0.05). Additive interactions were observed between high BMI and drinking in men (relative excess risk due to interaction=1.75, 95% CI 0.85 to 2.65, attributable proportion due to interaction=0.56, 95% CI 0.36 to 0.76, synergy index=6.43, 95% CI 1.02 to 28.84).ConclusionsMeasures of body weight and size, particularly BMI and WC, appear to interact synergistically with alcohol consumption to increase the risk of hypertension in the Chinese population. Given that approximately 245 million people in China have hypertension, and that hypertension is a major cause of cardiovascular disease worldwide, our results may have implications for chronic disease prevention.

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“…Meanwhile, menopause-related symptoms also greatly influenced sleep quality ( Pien et al, 2008 ). Hypertension, hyperlipidemia, diabetes, and alcohol consumption were associated with poor sleep quality ( Chiang et al, 2018 ; Wang et al, 2020 ; Zheng et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

2021

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Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p < 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

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Alcohol consumption and sleep quality: a community-based study

Cited by 43 publications

References 28 publications

Factors associated with insomnia in older adult outpatients vary by gender: a cross-sectional study

Factors associated with insomnia in older adult outpatients vary by gender: a cross-sectional study

Interaction effect between overweight/obesity and alcohol consumption on hypertension risk in China: a longitudinal study

Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

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