scholarly journals Longitudinal association between sleep features and refractive errors in preschoolers from the EDEN birth-cohort

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexis Rayapoullé ◽  
Claude Gronfier ◽  
Anne Forhan ◽  
Barbara Heude ◽  
Marie-Aline Charles ◽  
...  

AbstractRefractive errors are common, especially in children and adolescents, leading to global health issues, academic implications and economic costs. Circadian rhythm and sleep habits may play a role. The study included 1130 children from the EDEN birth-cohort. Data were collected through parental questionnaires at age 2 and 5 for sleep duration and timing, and at age 5 for refractive error. At 5 years, 20.4% were prescribed glasses (2% for myopia, 11.9% for hyperopia and 6.8% for unknown reason). Children slept on average (SD) 11h05/night (± 30 min) and 10h49/night (± 48 min) at age 2 and 5, respectively. Average bedtime and midsleep was 8.36 pm (± 30 min), 2.06 am (± 36 min), and 8.54 pm (± 30 min), 2.06 am (± 24 min) at age 2 and 5, respectively. A U-shaped association was observed between sleep duration at age 2 and eyeglass prescription at age 5. Later midsleep and bedtime at age 2 were associated with an increased risk of eyeglass prescription at age 5. Associations became borderline significant after adjustment for confounding factors. Sleep duration and timing at age 2 were associated with subsequent refractive errors in preschoolers from general population. Sleep hygiene might be a target for refractive errors prevention.

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A232-A232
Author(s):  
Alexis Rayapoullé ◽  
Claude Gronfier ◽  
Anne Forhan ◽  
Barbara Heude ◽  
Marie-Aline Charles ◽  
...  

Abstract Introduction Refractive errors are very common, in particular in children and adolescents, leading to global health issues, academic implications and economic costs. The process of emmetropization in child development is a multifactorial and active mechanism, and is yet to be fully understood. Light exposure and endogenous circadian rhythmicity are thought to have an important role in this process. They are also known to be both cause and consequence of various sleep habits. The study aims at investigating the role of sleep duration and timing in refractive error development of preschoolers. Methods Sleep duration and timing were assessed at age 2 and 5 years, and vision problems at age 5 through parental auto-questionnaires in 1,130 children from the EDEN birth-cohort. We performed both cross-sectional and longitudinal analyses using logistic regression models, before and after adjusting for age, sex, socio-economic status, nap duration, time spent outdoors and daily screen-time. We conducted multiple imputations to deal with missing data on covariates. The shape of the association was considered by splitting sleep duration into tertiles. Results At age 5 years, 20.4% of the children were prescribed glasses (2% for myopia, 11.9% for hyperopia and 6.8% for unknow reason). Children slept on average (SD) 11h05 (30 min) per night at age 2 and 10h49 (48 min) at age 5. Average bedtime and midsleep were 8.36 pm (30 min), 2.06 am (36 min), and 8.54 pm (30 min), 2.06 am (24 min) at age 2 and 5, respectively. In the raw longitudinal analysis, a U-shaped association was observed between nocturnal sleep duration at age 2 and eyeglass prescription at age 5: 2-years-old children sleeping 11h30 had a higher risk to have an eyeglass prescription by the age of 5. Later midsleep and bedtime at age 2 were associated with an increased risk of eyeglass prescription at age 5. All associations, except the one concerning bedtime, were barely changed after adjustment while becoming borderline significant. Conclusion Duration and timing of sleep at age 2 were associated with subsequent onset of refractive errors in preschoolers from a general population. Sleep and light hygiene might be targets for prevention. Support (if any):


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Bin Yan ◽  
Ruohan Li ◽  
Xuting Jin ◽  
Ya Gao ◽  
Jingjing Zhang ◽  
...  

Introduction: Previous studies have suggested that sleep habits were associated with cardiovascular risk factors. However, there is no evidence about the relationship between sleep timing and congestive heart failure (CHF). Hypothesis: We assessed the hypothesis that the bedtime and wake-up time on weekday and weekend may be associated with incident CHF. Methods: From the Sleep Heart Health Study (registration number, NCT00005275), participants without previous heart failure were enrolled in the present prospective study. Sleep timing including bedtime and wake-up time on weekday and weekend was acquired from a self-reported Sleep Habits Questionnaire. Bedtime on weekdays and weekend was divided into >24:00, 23:01 to 24:00, 22:01 to 23:00 and ≤22:00. Wake-up time on weekdays and weekend was classified as >8:00, 7:01 to 8:00, 6:01 to 7:00 and ≤6:00. Further subgroup analysis was conducted according to sleep duration of <6h, 6-8h and >8h. Participants were followed up until the first CHF diagnosed between the date of the completed questionnaire and the final censoring date. Cox regression analysis was used to investigate the association between sleep timing and CHF. Results: A total of 4765 participants including 2207 males and 2558 females with a mean age of 63.6±11.0 years were recruited in the study. During the mean follow-up period of 11 years, 519 participants were diagnosed with CHF. The incidence of CHF in participants with weekday bedtime at >24:00 was 15.6% (69 of 441), which is higher than those with bedtime at 23:01 to 24:00 [12.7% (166 of 1306)], 22:01 to 23:00 [7.0% (128 of 1837)], and ≤22:00 [13.2% (156 of 1181)]. Participants with wake-up time on weekday at > 8:00 also had the highest incidence of CHF [19.7% (45 of 229)] than those with wake-up time at 7:01 to 8:00 [14.2% (89 of 627)], 6:01 to 7:00 [11.5% (171 of 1485)], and ≤6:00 [8.8% (214 of 2424)]. After multivariate Cox regression analyses, individuals with bedtime at >24:00 on weekdays was associated with a higher incidence of CHF (HR 1.559, 95% CI 1.151-2.113, P = 0.004) than those with bedtime at 22:01 to 23:00. And compared with participants with wake-up time at ≤6:00, those with wake-up time at > 8:00 also had an increased risk of incident CHF (HR 1.525, 95% CI 1.074-2.166, P =0.018). After further subgroup analysis, the association between bedtime at >24:00 on weekdays and incident CHF were strengthened in the participants with 6-8 hours’ sleep duration (HR 2.087, 95% CI 1.446-3.013, P <0.001). Conclusion: In conclusion, late bedtime (>24:00) and late wake-up time (>8:00) on weekdays may correlate with an increased risk of CHF. The impact of sleep timing on incident cardiovascular diseases may be worth further prospective study.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoqing Lian ◽  
Jie Gu ◽  
Sibo Wang ◽  
Jianjun Yan ◽  
Xiaowen Chen ◽  
...  

Abstract Background Growing evidence indicates that poor sleep harms health. Early to bed and early to rise is considered as a healthy lifestyle in Chinese population. The current study aimed to examine the effects of sleep habits on acute myocardial infarction (AMI) risk and severity of coronary artery disease (CAD) in Chinese population from two centers. Methods A total of 873 patients including 314 AMI cases and 559 controls were recruited from the inpatient cardiology department of the Affiliated Jiangning Hospital and the First Affiliated Hospital of Nanjing Medical University. 559 controls included 395 CAD cases and 164 non-CAD cases. We used a 17-item sleep factors questionnaire (SFQ) to evaluate sleep habits comprehensively by face-to-face interview. The severity of CAD was assessed by Gensini score in AMI and CAD groups. The effects of sleep factors on AMI risk and Gensini score were examined by unconditional logistic regression. Results After mutually adjustment for other sleep factors and demographic characteristics, the timing of sleep (24:00 and after) and morning waking (after 7:00) and sleep duration (< 6 h) were associated with increased risk of AMI (OR = 4.005, P < 0.001, OR = 2.544, P = 0.011 and OR = 2.968, P < 0.001, respectively). Lower level of light exposure at night was correlated with reduced risk of AMI (OR = 0.243, P = 0.009). In subgroup analysis by age, both late sleep timing and short sleep duration were associated with increased risk of AMI regardless of age. In subjects with age ≤ 65 years, daytime napping was related to reduced risk of AMI (OR = 0.645, P = 0.046). In subjects with age > 65 years, the frequency of night-time waking (3 times) was associated with increased risk of AMI (OR = 3.467, P = 0.035). Short sleep duration was correlated with increased risk of high Gensini score (OR = 2.374, P < 0.001). Conclusion Sleep insufficiency is an important risk factor both for AMI risk and CAD severity. Late sleeping is also associated with increased risk of AMI. In young and middle-aged people, regular naps may have a protective effect. Graphic abstract


2019 ◽  
Vol 122 (12) ◽  
pp. 1409-1416
Author(s):  
Anh Thao N. Andersen ◽  
Steffen Husby ◽  
Henriette B. Kyhl ◽  
Maria B. Sandberg ◽  
Stine D. Sander ◽  
...  

AbstractFe deficiency (ID) defined as plasma ferritin <12 µg/l is associated with delayed cognitive development in early childhood and increased incidence of infections; however, the longitudinal association between early-life factors and ID in 18-month-old children in Denmark is unknown. The present study aimed to determine the prevalence of ID and to describe risk factors associated with ID in healthy 18-month-old Danish children. Blood samples, anthropometric measurements and self-reported questionnaire data had been obtained in the birth cohort, Odense Child Cohort. The questionnaires were modified from those used in the Danish National Birth Cohort. Plasma ferritin and C-reactive protein in venous, non-fasting samples were analysed in the final sample size of 370 children after exclusion of seventy-nine children due to chronic disease, acute infection, C-reactive protein >10 mg/l, twin birth or prematurity. Associations with ID were analysed by logistic regression, adjusting for sex, maternal education, duration of partial breast-feeding and current intake of milk, fish and meat. Overall, fifty-six children had ID (15·1 %). Factors associated with increased risk were exclusive breast-feeding beyond 4 months (OR 5·97; 95 % CI 1·63, 21·86) and no intake of oral Fe supplements from 6 to 12 months (OR 3·99, 95 % CI 1·33, 11·97. Duration of partial breast-feeding and current diet was not associated with ID. In conclusion, the ID prevalence was 15·1 %, and both exclusive breast-feeding beyond 4 months and no intake of oral Fe supplements from 6 to 12 months were associated with increased risk of ID in 18-month-old children.


Author(s):  
Takafumi Obara ◽  
Hiromichi Naito ◽  
Kohei Tsukahara ◽  
Naomi Matsumoto ◽  
Hirotsugu Yamamoto ◽  
...  

The aim of this study was to investigate the longitudinal relationship between shorter or irregular sleep duration (SD) in early childhood and increased risk of injury at primary school age using data from a nationwide survey in Japan. We categorized SD into seven groups: 6 h, 7 h, 8 h, 9 hrs, 10 or 11 h, >12 h, and irregular, based on questionnaire responses collected at 5.5 years old. The relationship between SD and incidence of injury at 5.5–nine years of age is shown. In addition, we completed a stratified analysis on children with or without problematic behavior at eight years old. We included 32,044 children, of which 6369 were classified as having an injury and 25,675 as not having an injury. Logistic regression model showed that shorter or irregular SD categories were associated with an increased adjusted odds ratio (aOR) for injuries (6 h: aOR 1.40, 95% confidence interval (CI) 1.19–1.66, 7 h: aOR 1.10, 95% CI, 0.98–1.23, 8 h: aOR 1.13, 95% CI, 1.02–1.26, irregular: aOR 1.26, 95% CI 1.10–1.43). The same tendency was observed with shorter or irregular SD in subgroups with or without behavioral problems. Shorter or irregular sleep habits during early childhood are associated with injury during primary school age.


2020 ◽  
Author(s):  
Maria Fernström ◽  
Ulrika Fernberg ◽  
Anita Hurtig-Wennlöf

Abstract Background: Physical activity (PA) and sleep habits are lifestyle factors with potential to prevent cardiovascular disease (CVD). CVD is the leading cause of death worldwide, it is therefore important to establish a healthy lifestyle at young age. In the Lifestyle, biomarkers and atherosclerosis (LBA) study we have examined 834 healthy non-smoking adults, 18-25 years. The general aim of the LBA study was to evaluate the effect of lifestyle on biomarkers known to influence CVD risk in young adults. The specific aim of the present study was to evaluate sleep habits, study the effect of sleep habits on CVD risk, and compare the influence of sleep habits with other lifestyle factors, regarding CVD risk. Additional aim, in the preventive work against CVD, was to find easy and reliable biomarkers to detect young adults with increased risk to develop CVD.Methods: The participants have previously been examined for traditional CVD risk biomarkers and lifestyle factors. The participants filled in a validated computerized questionnaire about their general physical and mental health. The questionnaire included questions on sleep duration and experienced quality of sleep.Results: In total 27.1% of the young adult study participants (18-25 years) answered that they had difficulties to fall asleep or experiences anxious sleep with several awakenings per night. The experienced anxious sleep was not related to higher CVD risk score, but sleep quality and sleep duration was correlated. Shorter sleep duration was significantly associated to higher body mass index (BMI), body fat (%), homeostasis model assessment of insulin resistance (HOMA-IR) and CVD risk. The modifiable lifestyle factor with the highest odds ratio (OR) for CVD risk was cardiorespiratory fitness (CRF). Sleep duration was the second most influential lifestyle factor, more important than PA and food habits. Correlations between CRF and heart rate (HR) (P<0.01) and between HOMA-IR and BMI (P<0.01) was observed, indicating that BMI and resting HR in combination with questions about sleep patterns are easy and reliable biomarkers to detect young adults with increased risk to develop CVD. Conclusion: Decreased sleep duration in combination with decreased CRF, in young adults, is a serious health issue.


2021 ◽  
Author(s):  
Xiaoqing Lian ◽  
Jie Gu ◽  
Sibo Wang ◽  
Jianjun Yan ◽  
Xiaowen Chen ◽  
...  

Abstract Background Growing evidence indicates that poor sleep harms health. Early to bed and early to rise is considered as a healthy lifestyle in Chinese population. The current study aimed to examine the effects of sleep habits on acute myocardial infarction (AMI) risk and severity of coronary artery disease (CAD) in Chinese population from two centers. Methods A total of 873 patients including 314 AMI and 559 controls were recruited from the inpatient cardiology department of the Affiliated Jiangning Hospital and the First Affiliated Hospital of Nanjing Medical University. 559 controls included 395 CAD cases and 164 non-CAD cases. We used a 17-item sleep factors questionnaire (SFQ) to evaluate sleep habits comprehensively by face-to-face interview. The severity of CAD was assessed by Gensini score in AMI and CAD groups. The effects of sleep factors on AMI risk and Gensini score were examined by unconditional logistic regression. Results After mutually adjustment for other sleep factors and demographic characteristics, the timing of sleep (24:00 and after), sleep duration (< 6h) and frequency of night-time waking (3 times) were associated with increased risk of AMI. In subjects with age < 65 years, sleep duration (< 6h) was correlated with increased risk of AMI (OR 3.096, 95%CI 1.435–6.681, P = 0.004) and daytime napping was related to reduced risk of AMI (OR 0.620, 95%CI 0.397–0.970,P = 0.036). In the population aged ≥ 65 years, the level 3 of light exposure (they could see only the hazy outline of the bedroom) was correlated with lowered risk of AMI. Late sleep timing (24:00 and after) and the frequency of night-time waking (3 times) were associated with increased risk of AMI independently of age. Moreover, Short sleep duration was correlated with increased risk of high Gensini score. Conclusion Late sleeping is an important risk factor for AMI. Daytime napping may protect the population aged < 65 years.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Stephen M. Mattingly ◽  
Ted Grover ◽  
Gonzalo J. Martinez ◽  
Talayeh Aledavood ◽  
Pablo Robles-Granda ◽  
...  

AbstractPrevious studies of seasonal effects on sleep have yielded unclear results, likely due to methodological differences and limitations in data size and/or quality. We measured the sleep habits of 216 individuals across the U.S. over four seasons for slightly over a year using objective, continuous, and unobtrusive measures of sleep and local weather. In addition, we controlled for demographics and trait-like constructs previously identified to correlate with sleep behavior. We investigated seasonal and weather effects of sleep duration, bedtime, and wake time. We found several small but statistically significant effects of seasonal and weather effects on sleep patterns. We observe the strongest seasonal effects for wake time and sleep duration, especially during the spring season: wake times are earlier, and sleep duration decreases (compared to the reference season winter). Sleep duration also modestly decreases when day lengths get longer (between the winter and summer solstice). Bedtimes and wake times tend to be slightly later as outdoor temperature increases.


2021 ◽  
pp. 1-8
Author(s):  
Joseph M. Boden ◽  
James A. Foulds ◽  
Giles Newton-Howes ◽  
Rebecca McKetin

Abstract Background This study examined the association between methamphetamine use and psychotic symptoms in a New Zealand general population birth cohort (n = 1265 at birth). Methods At age 18, 21, 25, 30, and 35, participants reported on their methamphetamine use and psychotic symptoms in the period since the previous interview. Generalized estimating equations modelled the association between methamphetamine use and psychotic symptoms (percentage reporting any symptom, and number of symptoms per participant). Confounding factors included childhood individual characteristics, family socioeconomic circumstances and family functioning. Long term effects of methamphetamine use on psychotic symptoms were assessed by comparing the incidence of psychotic symptoms at age 30–35 for those with and without a history of methamphetamine use prior to age 30. Results After adjusting for confounding factors and time-varying covariate factors including concurrent cannabis use, methamphetamine use was associated with a modest increase in psychosis risk over five waves of data (adjusted odds ratio (OR) 1.33, 95% confidence interval (CI) 1.03–1.72 for the percentage measure; and IRR 1.24, 95% CI 1.02–1.50 for the symptom count measure). The increased risk of psychotic symptoms was concentrated among participants who had used at least weekly at any point (adjusted OR 2.85, 95% CI 1.21–6.69). Use of methamphetamine less than weekly was not associated with increased psychosis risk. We found no evidence for a persistent vulnerability to psychosis in the absence of continuing methamphetamine use. Conclusion Methamphetamine use is associated with increased risk of psychotic symptoms in the general population. Increased risk is chiefly confined to people who ever used regularly (at least weekly), and recently.


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