Abstract
Objectives
We estimated the prevalence of short sleep duration and multimorbidity in Luxembourg, and assessed whether sleep duration was associated with multimorbidity after adjusting for sociodemographic and behavioural characteristics.
Design
Cross-sectional study.
Participants
Data from 1508 Luxembourg residents (48% men and 52% women) aged 25 to 64 years came from the European Health Examination Survey 2013–2015.
Outcome measures
Short sleep duration and multimorbidity.
Results
Participants reported sleeping 6.95 hours/night during work days, nearly 1 hour less than during non-work days (7.86 hours/night). Nearly half of participants reported having been diagnosed with ≥2 chronic conditions/diseases. Short sleep duration was associated with the number of chronic conditions (OR 4.65, 95% CI 1.48 to 14.51; OR 7.30, 95% CI 2.35 to 22.58; OR 6.79, 95% CI 2.15 to 21.41 for 1, 2 and ≥3 chronic conditions/diseases, respectively), independently of socioeconomic and behavioural characteristics.
Conclusions
Health promotion programmes should aim at improving and promoting healthy lifestyles among the general population to improve sleep habits as well as decrease multimorbidity in middle-aged adults.
Keywords: Sleep duration, multimorbidity, chronic diseases, Luxembourg, European Health Examination Survey
Strengths and limitations of this study.
This is the first study in Luxembourg on the prevalence of sleep patterns, with a focus on short and long sleep duration, and their relationship with multimorbidity.
The present study was drawn from the European Health Examination Survey in Luxembourg, a representative cross-sectional population-based survey.
Limitations of the present study include the subjective self-reported measure of sleep duration, the cross-sectional design of the study (not allowing to establish a causal link) and the low participation rate.
Introduction
A healthy lifestyle includes healthy sleep habits. Sleep patterns influence several physiological and psychological processes such as inflammation, immune responses, mental and cognitive function, glucose regulation and energy balance.1–3 Short sleep duration, poor sleep quality and sleep-related disorders can result in sleep deficiency and impact on individual health.4 According to the Centers for Disease Control and Prevention, insufficient sleep is associated with health problems such as chronic diseases, poor quality of life, mental health, risk of accidents and lower productivity at work.5 Adequate sleep duration is one of the dimensions needed for good sleep health.6 The American Academy of Sleep Medicine and Sleep Research Society consider that for an adult, an average sleep duration of at least 7 hours per night should be recommended.4 However, a high percentage of the population sleeps less than the recommended 7 hours.7
Several factors may affect sleep such as physical activity patterns or eating behaviours, but also socioeconomic factors including job status, marital status and ethnicity.8 9 Studies have observed an association of lower education and unemployment with both short and long sleep duration,10 11 while factors such as physical activity and healthy diet seem to improve sleep quality.12 13 Moreover, diet intake (energy and total fat intake) and nutrients seem to be associated with both short and long sleep duration through multifactorial factors including eating patterns (eg, time and hours of intake) and variations in hormones related to appetite, such as leptin.14
Epidemiological data suggest an association of abnormal sleep duration and poor sleep quality with cardiometabolic problems (eg, hypertension, diabetes, obesity, cardiovascular diseases), mental disorders (eg, depression) and mortality.15–18 The observed relationship between short sleep duration and mortality would be especially critical in adults under 65 years of age.18 Few studies so far have focused on possible relationships between sleep patterns and multimorbidity.19 20 Multimorbidity is defined as the presence of two or more chronic diseases in the same individual,21 and is associated with disability, functional decline, frailty, poor quality of life and mortality.22 In the context of ageing societies, multimorbidity is an increasing global phenomenon23; its occurrence usually increases with age, though a large proportion of individuals younger than 65 are also affected.24 Definitions of multimorbidity vary, however, and the prevalence differs based on changing definitions, which in turn present significant challenges when attempting to compare results between populations and studies.22
The aim of the present study was to estimate the prevalence of short sleep duration and multimorbidity in Luxembourg, as well as to assess whether sleep duration was associated with multimorbidity after adjusting for sociodemographic and behavioural characteristics.
Methods
Study population and recruitment
Data were drawn from the European Health Examination Survey in Luxembourg (EHES-LUX). EHES-LUX is a representative cross-sectional population-based survey carried out by the Luxembourg Institute of Health with the objectives of assessing the health status of the population of the Grand-Duchy of Luxembourg, develop national and European health indicators, identify the needs of the population and evaluate health behaviours. EHES-LUX was conducted between February 2013 and January 2015. Individuals were randomly selected in a one-stage sampling procedure from the national health insurance registry (95% social coverage). Institutionalised individuals (eg, hospitals, elderly homes) were not included. A total of 1508 residents (excluding 21 pregnant women) of Luxembourg aged 25 to 64 participated in the survey (participation rate of 24.1%).25 Of them, seven participants did not report their sleep habits. A total of 1501 participants had information on multimorbidity and sleep habits. Participants were interviewed by trained nurses who also conducted medical examinations. Questionnaires included several health modules (eg, sleep and nutritional habits, healthcare, working and living conditions) as well as demographic and socioeconomic characteristics. Medical examinations included measurements such as blood pressure and anthropometry. Sampling weights were calculated to be generalised to the population of Luxembourg in terms of age, sex and district of residence.
Patient involvement
Participants were not involved in the development of the research question, study design, recruitment or the conduction of the study. On request, results from the medical examination were forwarded to the study participants and their medical doctors. General results were presented to the general public in a range of dissemination activities.
Sleep
Sleep duration was assessed using two questions: (1) “How many hours do you normally sleep at night when you have to work the next day?”, and (2) “How many hours do you normally sleep at night when you don’t have to work the next day?”. We calculated a weighted average of sleep duration for each participant by assigning weights of 5/7 to working days and 2/7 to non-working days.26 27 Responses were categorised as short sleep duration (<6 hours/night), medium sleep duration (6–9 hours/night) and long sleep duration (>9 hours/night), in line with previously published studies and sleep time duration recommendations.4 8 28
Sleep disorders and sleep quality were assessed with the following variables: difficulty in sleeping the night, diagnosis of sleep disorders, sleep medication and sleepiness. Difficulty in sleeping the night was assessed based on the question “Do you have difficulties in sleeping through the night?”. Diagnosis of sleep disorders was assessed using the question “Have you ever been told by a doctor or another health professional that you have a sleep disorder?”. Sleep medications were assessed using the question “In the past 2 weeks, have you used other types of medicines that were prescribed to you?”. The question was aimed at answering about several medications including sleep tablets. Sleepiness was defined as a score of ≥11 on the Epworth Sleepiness Scale.29
Multimorbidity
Participants were asked if they ever had a chronic disease or condition diagnosed by a medical doctor (eg, hypertension, high cholesterol, diabetes, cardiovascular diseases, stomach or duodenal ulcer, cirrhosis or other liver disease, urinary incontinence, kidney problems, chronic back or neck disorder, rheumatoid arthritis, arthrosis, osteoporosis, cancer, severe headache as migraine or chronic anxiety). Cardiovascular diseases included coronary heart disease or angina pectoris, heart attack or its chronic consequences, stroke or its chronic consequences. Based on this information, the variable ‘ever being diagnosed with a chronic disease or condition’ was generated with four categories: 0, 1, 2 and ≥3 chronic diseases or conditions. Multimorbidity was defined as having two or more chronic diseases or conditions diagnosed by a medical doctor.
Explanatory variables
Sociodemographic characteristics included age, sex and immigration status. As Portuguese are the largest immigrant community in Luxembourg, immigration status was categorised in non-immigrant, immigrant born in Portugal and immigrant born in other countries. Socioeconomic status included education (primary, secondary and tertiary education completed) and job status (unemployed; managers/professionals; technical/clerical/service occupation; skilled/unskilled workers).
Lifestyles included smoking (never; current; ex-smokers), alcohol consumption (never; ex-drinkers; drinkers), physical activity (never; ≤3 hours/week of sports, fitness and/or recreational activities which lasted at least 10 consecutive minutes; >3 hours/week of sports, fitness and/or recreational activities which lasted at least 10 consecutive minutes), and vegetable and fruit consumption (<1 portion/day, 1–4 portions/day, ≥5 portions/day). Weight and height were measured by trained nurses and used to calculate body mass index (BMI; kg/m2). BMI was categorised as normal body weight (<25 kg/m2), overweight (25–29.99 kg/m2) and obesity (≥30 kg/m2).
Statistical data analysis
Means and frequencies were used for descriptive purposes. We calculated the prevalence of sleep disorders, short and long sleep duration, chronic conditions/diseases and multimorbidity. Percentages did not include missing values. A χ2 test or a two-way analysis of variance (ANOVA) were used to analyse associations between the prevalence of sleep duration and covariates and the prevalence of multimorbidity and covariates. The association between sleep duration and chronic conditions/diseases was assessed using multinomial logistic regression models (reference for sleep duration was 6–9 hours per night) adjusted for sociodemographic characteristics, behavioural risk factors (eg, BMI, smoking, alcohol consumption and physical activity), as well as for measures of sleep disorders and sleep quality. We considered a p value <0.05 statistically significant. To be representative of the population and avoid biased estimates, the observations were weighted. Participants with missing values on sleep habits and or multimorbidity were not included in the present analysis. Analyses were performed using STATA V.14.0 and and SAS V.9.4 (SAS Institute, Cary, North Carolina, USA).
Results
Table 1 shows the prevalence of chronic conditions/diseases, multimorbidity, sleep duration and sleep disorders. Nearly half of participants reported being diagnosed with two or more chronic conditions/diseases, and nearly a third of participants reported being diagnosed with three or more chronic conditions/diseases. The most prevalent diseases were chronic low back disorder or other chronic back defect followed by hypercholesterolemia, arthrosis and hypertension. More than 8% of participants were diagnosed with a sleep disorder, a third reported having difficulties in sleeping through the night and 4.3% reported taking sleep medication. Participants reported sleeping 7.86 hours/night when they did not have to work the next day, nearly 1 hour more than when they had to work the next day (6.95 hours/night). Moreover, 5.13% of the Luxembourg population reported sleeping less than 6 hours/night and 1.79% reported sleeping more than 9 hours/night.
Table 1.
Chronic diseases/conditions, multimorbidity and sleep: European Health Examination Survey in Luxembourg (n=1508)
| N (%)/mean±SD | |
| Hypertension | 250 (16.59) |
| High cholesterol | 458 (30.39) |
| Diabetes | 69 (4.58) |
| Coronary heart disease or angina pectoris | 26 (1.73) |
| Myocardial infarction or chronic consequences of myocardial infarction | 14 (0.93) |
| Stroke or chronic consequences of stroke | 11 (0.73) |
| Stomach or duodenal ulcer | 81 (5.37) |
| Cirrhosis of the liver or other liver disease | 46 (3.05) |
| Urinary incontinence, problems in controlling the bladder | 74 (4.91) |
| Kidney problems | 108 (7.17) |
| Chronic low back disorder or other chronic back defect | 489 (32.47) |
| Chronic neck disorder or other chronic neck defect | 246 (16.32) |
| Rheumatoid arthritis | 88 (5.85) |
| Arthrosis | 292 (19.38) |
| Osteoporosis | 44 (2.92) |
| Cancer | 54 (3.59) |
| Severe headache such as migraine | 271 (17.98) |
| Chronic anxiety | 98 (6.50) |
| Depression | 204 (13.54) |
| No of chronic diseases | |
| 0 | 405 (27.00) |
| 1 | 362 (24.13) |
| ≥2 (multimorbidity) | 733 (49.00) |
| ≥3 | 465 (31.00) |
| Sleep | |
| Diagnosis of sleep disorder | 122 (8.21) |
| Sleepiness* | 118 (7.89) |
| Have difficulties in sleeping the night through | 510 (33.89) |
| Sleeping medication | 64 (4.26) |
| Sleep duration | |
| Total sleep duration (n=1170) | |
| <6 hours/night | 60 (5.13%) |
| 6–9 hours/night | 1089 (93.08%) |
| >9 hours/night | 21 (1.79%) |
| Hours when you have to work the next day (n=1152-working) | 6.95±0.97 |
| Hours when you do not work the next day (n=1501) | 7.86±1.30 |
Missing values ranged from 2 to 13 observations.
*Measured with Epworth Sleepiness Scale.
Participant characteristics by chronic conditions/diseases are shown in table 2. More men than women presented three or more chronic diseases. Higher number of chronic diseases/conditions increased with age: those aged 55 to 64 presented more chronic conditions compared with those aged 25–34. Immigrants born in Portugal presented more chronic conditions than non-immigrants and other immigrants. Participants being less educated and unemployed presented more chronic conditions compared with those employed and highly educated. Participants being less physically active and with obesity presented more chronic conditions/diseases than those being more physically active and with a lower BMI.
Table 2.
Participant characteristics by chronic conditions/diseases: European Health Examination Survey in Luxembourg (n=1508)
| Chronic conditions/diseases | |||||
| 0 | 1 | 2 | ≥3 | P value* | |
| Sex | |||||
| Male | 199 (27.72) | 199 (27.72) | 143 (19.92) | 177 (24.65) | <0.001 |
| Female | 206 (26.34) | 163 (20.84) | 125 (15.98) | 288 (36.83) | |
| Age | |||||
| 25–34 | 130 (43.62) | 86 (28.86) | 48 (16.11) | 34 (11.41) | <0.001 |
| 35–44 | 156 (34.29) | 119 (26.15) | 69 (15.16) | 111 (24.40) | |
| 45–54 | 83 (18.16) | 111 (24.29) | 98 (21.44) | 165 (36.11) | |
| 55–64 | 36 (12.41) | 46 (15.86) | 53 (18.28) | 155 (53.45) | |
| Immigration | |||||
| Luxembourg | 184 (23.44) | 197 (25.10) | 144 (18.34) | 260 (33.12) | <0.001 |
| Portugal | 52 (23.85) | 42 (19.27) | 45 (20.64) | 79 (36.24) | |
| Other | 169 (34.00) | 123 (24.75) | 79 (15.90) | 126 (25.35) | |
| Education | |||||
| Primary | 68 (18.38) | 75 (20.27) | 64 (17.30) | 163 (44.05) | <0.001 |
| Secondary | 133 (23.05) | 142 (24.61) | 106 (18.37) | 196 (33.97) | |
| Tertiary | 203 (37.04) | 145 (26.46) | 97 (17.70) | 103 (18.80) | |
| Job | |||||
| Not working | 58 (16.67) | 56 (16.09) | 58 (16.67) | 176 (50.57) | <0.001 |
| Managers/professionals | 168 (35.59) | 138 (29.24) | 73 (15.47) | 93 (19.70) | |
| Technicians/clerical/service occupation | 119 (29.38) | 89 (21.98) | 76 (18.77) | 121 (29.88) | |
| Skilled/unskilled workers | 60 (21.90) | 79 (28.83) | 61 (22.26) | 74 (27.01) | |
| Smoking | |||||
| Never | 239 (29.25) | 209 (25.58) | 145 (17.75) | 224 (27.42) | 0.026 |
| Current | 90 (26.01) | 75 (21.68) | 63 (18.21) | 118 (34.10) | |
| Ex-smoker | 74 (22.09) | 78 (23.28) | 60 (17.91) | 123 (36.72) | |
| Alcohol | |||||
| Never | 30 (27.78) | 21 (19.44) | 20 (18.52) | 37 (34.26) | 0.055 |
| Drinkers | 365 (27.53) | 328 (24.74) | 234 (17.65) | 399 (30.09) | |
| Ex-drinkers | 8 (12.50) | 13 (20.31) | 14 (21.88) | 29 (45.31) | |
| Fruit and vegetable consumption | |||||
| <1 portion/day | 126 (27.39) | 112 (24.35) | 87 (18.91) | 135 (29.35) | 0.597 |
| 1–4 portions/day | 223 (27.81) | 183 (22.82) | 142 (17.71) | 254 (31.67) | |
| ≥5 portions/day | 55 (23.31) | 66 (27.97) | 39 (16.53) | 76 (32.20) | |
| Physical activity | |||||
| Never | 130 (21.35) | 133 (21.84) | 125 (20.53) | 221 (36.29) | <0.001 |
| ≤3 hours/week | 151 (29.84) | 130 (25.69) | 77 (15.22) | 148 (29.25) | |
| >3 hours/week | 121 (31.84) | 98 (25.79) | 65 (17.11) | 96 (25.26) | |
| BMI | 25.27±4.06 | 26.04±4.89 | 26.66±4.96 | 28.07±5.56 | <0.001 |
| <25 | 212 (33.02) | 169 (26.32) | 112 (17.45) | 149 (23.21) | <0.001 |
| 25–30 | 152 (27.39) | 131 (23.60) | 100 (18.02) | 172 (30.99) | |
| ≥30 | 41 (13.62) | 61 (20.27) | 55 (18.27) | 144 (47.84) | |
Values are numbers (%) for categorical variables and means±SD for continuous variables.
*χ2 test for categorical variables, t-test for continuous variables. Missing values ranged from 8 to 13 observations.
BMI, body mass index.
Participant characteristics by sleep duration are shown in table 3. More men than women reported a medium sleep duration. Short sleep duration was more likely among immigrants born in Portugal, participants with lower education and skilled/unskilled workers. Short sleep duration was less common among those being physically active and with a BMI less than 25 kg/m2.
Table 3.
Participant’s characteristics by sleep duration: European Health Examination Survey in Luxembourg
| Sleep duration (n=1170) | ||||
| <6 hours/night | 6–9 hours/night | >9 hours/night | P value* | |
| Sex | ||||
| Men | 35 (5.85) | 559 (93.48) | 4 (0.67) | 0.007 |
| Women | 25 (4.37) | 530 (92.66) | 17 (2.97) | |
| Age | 44.88±8.53 | 43.00±9.04 | 42.11±10.43 | 0.26 |
| 25–34 | 8 (3.03) | 251 (95.08) | 5 (1.89) | 0.50 |
| 35–44 | 22 (5.53) | 367 (92.21) | 9 (2.26) | |
| 45–54 | 22 (5.70) | 360 (93.26) | 4 (1.04) | |
| 55–64 | 8 (6.56) | 111 (90.98) | 3 (2.46) | |
| Immigration | ||||
| Luxembourg | 23 (3.75) | 581 (94.78) | 9 (1.47) | 0.02 |
| Portugal | 17 (10.00) | 151 (88.82) | 2 (1.18) | |
| Other | 20 (5.17) | 357 (92.25) | 10 (2.58) | |
| Education | ||||
| Primary | 21 (8.90) | 212 (89.83) | 3 (1.27) | 0.007 |
| Secondary | 25 (5.81) | 395 (91.86) | 10 (2.33) | |
| Tertiary | 14 (2.80) | 478 (95.60) | 8 (1.60) | |
| Job | ||||
| Not working | 0 (0.00) | 19 (95.00) | 1 (5.00) | 0.05 |
| Managers/professionals | 15 (3.18) | 450 (95.34) | 7 (1.48) | |
| Technicians/clerical/service occupation | 23 (5.64) | 376 (92.16) | 9 (2.21) | |
| Skilled/unskilled workers | 22 (8.15) | 244 (90.37) | 4 (1.48) | |
| Smoking | ||||
| Never | 32 (4.79) | 625 (93.56) | 11 (1.65) | 0.84 |
| Current | 15 (5.60) | 249 (92.91) | 4 (1.49) | |
| Ex-smoker | 13 (5.58) | 214 (91.85) | 6 (2.58) | |
| Alcohol | ||||
| Never | 4 (5.63) | 63 (88.73) | 4 (5.63) | 0.03 |
| Drinkers | 52 (4.89) | 996 (93.61) | 16 (1.50) | |
| Ex-drinkers | 4 (11.43) | 30 (85.71) | 1 (2.86) | |
| Fruit and vegetable consumption | ||||
| <1 portion/day | 19 (5.04) | 351 (93.10) | 7 (1.86) | 0.72 |
| 1–4 portions/day | 36 (5.76) | 578 (92.48) | 11 (1.76) | |
| ≥5 portions/day | 5 (2.99) | 159 (95.21) | 3 (1.80) | |
| Physical activity | ||||
| Never | 36 (7.81) | 413 (89.59) | 12 (2.60) | 0.003 |
| ≤3 hours/week | 12 (2.86) | 401 (95.48) | 7 (1.67) | |
| >3 hours/week | 12 (4.15) | 275 (95.16) | 2 (0.69) | |
| BMI | 27.57±4.80 | 26.36±4.87 | 25.27±6.53 | 0.10 |
| <25 | 16 (3.16) | 477 (94.27) | 13 (2.57) | 0.003 |
| 25–30 | 30 (6.80) | 409 (92.74) | 2 (0.45) | |
| ≥30 | 14 (6.31) | 202 (90.99) | 6 (2.70) | |
Values are numbers (%) for categorical variables and means±SD for continuous variables.
*χ2 test or Fisher’s exact test for categorical variables, ANOVA for continuous variables.
BMI, body mass index.
Table 4 shows results from multinomial logistic regression analyses examining the association between sleep duration and chronic conditions/diseases, and adjusted by sociodemographic characteristics, behavioural risk factors, socioeconomic position, as well as for measures of sleep disorders and sleep quality. Participants sleeping less hours (<6 hours) were 7.30 and 6.79 times as likely to report having two and three or more chronic conditions after adjusting for covariates. In fully adjusted models, the strength of associations between sleep duration and multimorbidity remained statistically significant.
Table 4.
Results of multinomial logistic regression measuring the association between sleep duration and chronic conditions in models adjusted for participants sociodemographic characteristics, behavioural risk factors and measures of sleep disorders and sleep quality: European Health Examination Survey in Luxembourg (n=1170)
| Sleep duration | ||||
| Short (<6 hours) | Long (>9 hours) | |||
| OR (95% CI) | AOR (95% CI) | OR (95% CI) | AOR (95% CI) | |
| Chronic conditions/diseases | ||||
| 0 | 1.00 | 1.00 | 1.00 | 1.00 |
| 1 | 4.55 (1.49 to 13.88) | 4.65 (1.48 to 14.51) | 2.94 (0.93 to 9.19) | 2.66 (0.80 to 8.85) |
| 2 | 7.65 (2.55 to 22.91) | 7.30 (2.35 to 22.58) | 0.86 (0.16 to 4.54) | 0.82 (0.14 to 4.67) |
| ≥3 | 9.45 (3.25 to 27.41) | 6.79 (2.15 to 21.41) | 1.27 (0.31 o 5.24) | 0.73 (0.13 to 3.88) |
| Immigration | ||||
| Luxembourg | 1.00 | 1.00 | ||
| Portugal | 1.66 (0.71 to 3.89) | 0.86 (0.14 to 5.08) | ||
| Other | 1.96 (1.00 to 3.82) | 1.80 (0.61 to 5.31) | ||
| Sex | ||||
| Men | 1.00 | 1.00 | ||
| Women | 0.48 (0.24 to 0.93) | 4.57 (1.22 to 17.09) | ||
| Age | 0.99 (0.95 to 1.02) | 0.98 (0.93 to 1.04) | ||
| Education | ||||
| Primary | 1.00 | 1.00 | ||
| Secondary | 0.77 (0.35 to 1.71) | 1.79 (0.36 to 8.85) | ||
| Tertiary | 0.36 (0.12 to 1.11) | 1.07 (0.14 to 7.85) | ||
| Job status | ||||
| Unemployed | ||||
| Managers/professionals | 1.00 | 1.00 | ||
| Technicians/clerical/service occupation | 1.17 (0.50 to 2.68) | 1.47 (0.40 to 5.39) | ||
| Skilled/unskilled workers | 0.96 (0.36 to 2.55) | 2.00 (0.33 to 11.91) | ||
| Physical activity | ||||
| Never | 1.00 | 1.00 | ||
| ≤3 hours/week | 0.47 (0.22 to 0.98) | 0.33 (0.10 to 1.09) | ||
| >3 hours/week | 0.73 (0.34 to 1.56) | 0.23 (0.04 to 1.08) | ||
| BMI | ||||
| Normal | 1.00 | 1.00 | ||
| Overweight | 1.49 (0.74 to 2.98) | 0.29 (0.06 to 1.39) | ||
| Obese | 0.94 (0.40 to 2.16) | 1.25 (0.35 to 4.40) | ||
| Smoking | ||||
| Never | 1.00 | 1.00 | ||
| Current | 0.92 (0.46 to 1.84) | 1.13 (0.30 to 4.15) | ||
| Ex-smokers | 0.88 (0.42 to 1.86) | 3.30 (0.98 to 11.00) | ||
| Alcohol consumption | ||||
| Never | 1.00 | 1.00 | ||
| Drink | 2.21 (0.39 to 12.48) | 0.60 (0.05 to 7.13) | ||
| Ex-drinker | 1.14 (0.31 to 4.10) | 0.32 (0.07 to 1.44) | ||
| Sleeping medication | 1.89 (0.56 to 6.35) | NA | ||
| Sleep disorder diagnosis | 1.39 (0.55 to 3.49) | NA | ||
| Difficulties in sleeping the night | 2.12 (1.14 to 3.92) | 1.34 (0.45 to 3.90) | ||
| Sleepiness | 3.37 (1.57 to 7.21) | 1.09 (0.20 to 5.77) | ||
AOR, adjusted OR; BMI, body mass index; NA, not available.
Estimates of sleep problems and chronic conditions are presented in online supplementary table S1. The prevalence of sleep problems was high, with one out of three participants having difficulties in sleeping the night through and nearly 8% of participants diagnosed with a sleep disorder. In all cases, the percentage of participants with sleep problems increased with the number of chronic diseases.
bmjopen-2018-026942supp001.pdf (63.2KB, pdf)
Discussion
Results from the present nationwide population-based study show for the first time in Luxembourg the prevalence of sleep patterns, with a focus on short and long sleep duration, as well as their association with multimorbidity. The prevalence of short sleep duration in Luxembourg is 5.13%. Results are similar to those observed internationally,28 30 although in countries such as Brazil the prevalence of short sleep duration was nearly 22%,31 and in Portugal values of short sleep duration defined as ≤5 hours reached up to 20% in 2015–2016.32 However, in the present study, the age range from 25 to 64 years must be considered since it does not include adults over 65 years old who generally sleep less hours. This means that the overall prevalence of the Luxembourg population sleeping less than the recommended hours is likely to be higher, when including older adults as well.
Multimorbidity is highly prevalent in Luxembourg, especially when taking into account the fact that the study population was up to 65 years, which represents a relatively young population, as multimorbidity prevalence naturally increases with age.22 Nearly half of participants had two or more chronic diseases and 31% had three or more chronic diseases/conditions.
In our study, we observed that short sleep duration was significantly associated with the number of chronic conditions independently of socioeconomic, behavioural characteristics and sleep disorders. Our results are in line with those from other studies that observed an association between sleep and number of chronic diseases, although previous studies have been usually performed in populations of older adults (eg, over 50 years old).19 33 As observed by Koyanagi et al, sleep problems increase with the number of diseases in both low-income and high-income countries independent of their economic development.19 These associations could explain the observed relationship between sleep duration (under the recommended 7 hours) and poor sleep quality with mortality, even among adults younger than 65 years old.18 It is not clear if sleep problems are a consequence of chronic diseases (eg, conditions affecting sleep) or part of the cause (sleep predisposes the individual to more diseases or exacerbates the symptoms), although it is plausible that both sleep problems and chronic diseases are linked by a bidirectional association.34 In terms of potential mechanisms to corroborate the biological plausibility of the link between short sleep duration and multimorbidity, reduced sleep duration has been associated with a number of chronic conditions, including cardiometabolic and neurodegenerative disease, cancer, musculoskeletal disorders and mental problems.15 16 Pain caused by certain chronic diseases as well as the medications/treatments used and mood disorders (eg, anxiety, depression) could have an impact on sleep.35 In turn, sleep disturbances could worsen the health status. Experimental evidence corroborates the plausibility of deleterious effects of lack of sleep on endocrine, immune, neurovegetative and inflammatory pathways.1–3 Sustained short sleep duration could be related to chronic conditions through its impact on the circadian rhythm and its association with hormonal (eg, insulin resistance and decreased leptin) and autonomic nervous system changes (increased activity of the sympathetic nervous system).36 Although both reduced sleep duration and the number of chronic diseases increase with age, and are more prevalent in older adults, our study shows that the prevalence is also high in adults under 65 and the association begins much earlier. It is therefore necessary to detect these problems earlier in order to improve individual health and general well-being and reduce mortality, particularly in the context of ageing populations burdened by the accumulation of multiple chronic conditions over time. In our study, we also observed that short sleep duration was associated with immigration status. The relationship between immigration status and sleep patterns remains unclear, possibly related to stress linked to the migratory process, cultural adaptation or working conditions in the host country.37 38 In our study, Portuguese immigrants were more likely to sleep less than 6 hours per night during workdays and less than 7 hours during non-working days. Portuguese are the largest immigrant community in Luxembourg, accounting for 16% of the 46% immigrant population living in Luxembourg. Compared with Luxembourgish natives, Portuguese immigrants have a lower socioeconomic status39 (including income, education and employment) which could partly explain why they have a greater likelihood of being short sleepers. However, after calculating the weight average for sleep hours and adjusting for sleep disorders, the association with short sleep duration disappeared.
In our study, long sleep duration was more common in women. This was in line with other studies showing that men usually sleep less hours, although women reported having more sleep problems.40 However, this relationship is complex and could depend on family composition (eg, single parents have shorter sleep duration, particularly women).41
In addition, short sleep duration often cluster with other behavioural risk factors such as cigarette smoking, heavy drinking and physical inactivity, which may in turn increase the risk of chronic disease. However, in our study, we only observed an association between physical activity and short sleep duration, with no association observed between short sleep duration and smoking or alcohol consumption. Regular physical activity would reduce the likelihood of short and/or long sleep duration and maintain an optimal duration. Studies have observed an association between physical activity and sleep, improving quality of sleep, sleep efficiency and total sleep time.12 42
Limitations of the present study include the subjective measure of sleep duration (self-reported number of hours of sleep) instead of an objective measure (eg, actigraphy, polysomnography). However, in the absence of an objective measure, there is a moderate correlation between objective and subjective measurements, a correlation that is high during weekdays possibly due to routines,43 but may be attenuated based on certain individual characteristics (eg, presence of conditions such as depression, sociodemographic characteristics).44 Other limitations include the fact that we did not include other sleep problems such as insomnia or sleep apnoea nor environmental factors such as noise, traffic or commuting, all of which could affect sleep duration. In addition, multimorbidity was also self-reported based on a restricted list of diseases in the questionnaire; therefore, participants may have not reported additional conditions, which may produce a possible underestimation of multimorbidity prevalence. Information on non-responders was not available, and despite being a representative sample of the Luxembourg population (in terms of age, sex and district), we could not determine the possibility of a non-response bias. In our study, we only included the number of sleep hours during the night, without including nap times. Moreover, we did not have information on the number of days that participants were working and assumed that most were working 5 days per week. Finally, it should be noted that the study design (cross-sectional) does not allow to ascertain a causal link between sleep and multimorbidity; in addition, the low participation rate may affect the generalisability of our results.
This is the first study in Luxembourg on the prevalence of sleep patterns, with a focus on short and long sleep duration, and their relationship with multimorbidity. Short sleep duration, having difficulties in sleeping the night through, sleep disorders and sleeping medication represent a neglected public health problem, especially when associated with a number of chronic conditions and diseases, thus producing a negative impact on the well-being and general health status of the population. Sleep hygiene should be considered as an additional important health behaviour along with diet, smoking and physical activity, both in clinical and public health practice. As both sleep problems and multimorbidity are highly prevalent in Luxembourg, health promotion programmes should be developed to improve and promote healthy lifestyles among the general population to improve sleep habits as well as decrease multimorbidity.
Supplementary Material
Acknowledgments
We are grateful to the population of Luxembourg and to all the EHES-LUX team who have contributed to this study. We would like to thank Kuemmerle A, Barre J, Dincau M, Delagardelle C, Michel G, Schlesser M, Mormont D, Chioti A, Gantenbein M, Lieunard C, Columeau A, Kiemen M, Weis J, Ambrozet G, Billy A, Larcelet M, Marcic D, Gauthier C and Viau-Courville M for their valuable contributions.
Footnotes
Contributors: MR-C and SS conceptualised and designed the study. MR-C and VB performed the statistical analysis. MR-C, SS and TTM interpreted the data. MR-C drafted the article. SS supervised the study. All authors participated in the revision of the article. All authors contributed to and have approved the final manuscript.
Funding: The study was funded by the Directorate and Ministry of Health and the Luxembourg Institute of Health.
Competing interests: None declared.
Patient consent for publication: Obtained.
Ethics approval: The study national research ethics committee (Comité national d’éthique de Recherche—CNER) approved the study and it was notified to the Luxemburgish National Commission for Data Protection.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: Data are available on reasonable request.
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Supplementary Materials
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