scholarly journals The importance of cardiorespiratory fitness and sleep duration in early CVD prevention. BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18-25 years.

2020 ◽  
Author(s):  
Maria Fernström ◽  
Ulrika Fernberg ◽  
Anita Hurtig-Wennlöf
Keyword(s):  
Heart Rate ◽  
Young Adults ◽  
Sleep Duration ◽  
Cardiorespiratory Fitness ◽  
Lifestyle Factors ◽  
Lifestyle Factor ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Cvd Risk ◽  
Increased Risk

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.

scholarly journals The importance of cardiorespiratory fitness and sleep duration in early CVD prevention. BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18-25 years.The cross-sectional Lifestyle, biomarkers and atherosclerosis (LBA) study.

2020 ◽  
Author(s):  
Maria Fernström ◽  
Ulrika Fernberg ◽  
Anita Hurtig-Wennlöf
Keyword(s):  
Heart Rate ◽  
Young Adults ◽  
Young Adult ◽  
Sleep Duration ◽  
Cardiorespiratory Fitness ◽  
Healthy Lifestyle ◽  
Lifestyle Factor ◽  
Sleep Habits ◽  
Cvd Risk ◽  
Non Invasive

Abstract Background: Cardiorespiratory fitness (CRF) 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 purpose of the LBA study was to study the effect of lifestyle on traditional biomarkers known to influence CVD risk. The aims of the present study were to evaluate sleep habits of the young adult women and men participating in the LBA study, and to compare the importance of sleep habits and other lifestyle habits on clinically relevant biomarkers for CVD. Additional aim was to find easy and reliable non-invasive biomarkers to detect young adults with increased risk to develop CVD later in life. Methods: The participants have previously been examined for lifestyle factors, biomarkers and CVD risk score. They 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% of the young adult participants reported 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 highest odds ratio (OR) for CVD risk was CRF. Sleep duration was the second most influential lifestyle factor, more important than moderate- and vigorous physical activity (MVPA) and food habits. Correlations between CRF and heart rate (HR) (P<0.01) and 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 non-invasive biomarkers to detect young adults who needs counselling about a healthy lifestyle. Conclusion: Decreased sleep duration in combination with decreased CRF, in young adults, is a serious health issue.

scholarly journals The importance of cardiorespiratory fitness and sleep duration in early CVD prevention. BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18-25 years.

2020 ◽  
Author(s):  
Maria Fernström ◽  
Ulrika Fernberg ◽  
Anita Hurtig-Wennlöf
Keyword(s):  
Heart Rate ◽  
Young Adults ◽  
Young Adult ◽  
Sleep Duration ◽  
Cardiorespiratory Fitness ◽  
Healthy Lifestyle ◽  
Lifestyle Factor ◽  
Sleep Habits ◽  
Cvd Risk ◽  
Non Invasive

Abstract Background: Cardiorespiratory fitness (CRF) 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 purpose of the LBA study was to study the effect of lifestyle on traditional biomarkers known to influence CVD risk. The aims of the present study were to evaluate sleep habits of the young adult women and men participating in the LBA study, and to compare the importance of sleep habits and other lifestyle habits on clinically relevant biomarkers for CVD. Additional aim was to find easy and reliable non-invasive biomarkers to detect young adults with increased risk to develop CVD later in life. Methods: The participants have previously been examined for lifestyle factors, biomarkers and CVD risk score. They 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% of the young adult participants reported 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 highest odds ratio (OR) for CVD risk was CRF. Sleep duration was the second most influential lifestyle factor, more important than moderate- and vigorous physical activity (MVPA) and food habits. Correlations between CRF and heart rate (HR) (P<0.01) and 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 non-invasive biomarkers to detect young adults who needs counselling about a healthy lifestyle. Conclusion: Decreased sleep duration in combination with decreased CRF, in young adults, is a serious health issue.

scholarly journals The importance of cardiorespiratory fitness and sleep duration in early CVD prevention. BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18-25 years.

2020 ◽  
Author(s):  
Maria Fernström ◽  
Ulrika Fernberg ◽  
Anita Hurtig-Wennlöf
Keyword(s):  
Heart Rate ◽  
Young Adults ◽  
Young Adult ◽  
Sleep Duration ◽  
Cardiorespiratory Fitness ◽  
Healthy Lifestyle ◽  
Lifestyle Factor ◽  
Sleep Habits ◽  
Cvd Risk ◽  
Non Invasive

Abstract Background: Cardiorespiratory fitness (CRF) 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 a young age. In the Lifestyle, Biomarkers and Atherosclerosis (LBA) study we have examined 834 healthy non-smoking adults, aged 18-25 years. The general purpose of the LBA study was to study the effect of lifestyle on traditional biomarkers known to influence CVD risk. The aims of the present study were to evaluate sleep habits of young adult women and men participating in the LBA study, and to compare the importance of sleep and other lifestyle habits on clinically relevant biomarkers for CVD. An additional aim was to find easy and reliable non-invasive biomarkers to detect young adults with increased risk of developing CVD later in life. Methods: The participants had previously been examined for lifestyle factors, biomarkers and CVD risk score. They 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% of the young adult participants reported difficulties falling asleep or experienced troubled sleep with frequent awakenings per night. The experienced troubled sleep was not related to a higher CVD risk score, but sleep quality and duration were 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 CRF. Sleep duration was the second most influential lifestyle factor, more important than moderate- and vigorous physical activity (MVPA) and food habits. Correlations between CRF and heart rate (HR), (P<0.01) and HOMA-IR and BMI (P<0.01) were observed, indicating that BMI and resting HR in combination with questions about sleep patterns are easy and reliable non-invasive biomarkers to detect young adults who need counselling on a healthy lifestyle. Conclusion: Decreased sleep duration in combination with decreased CRF, in young adults, is a serious health issue.

scholarly journals The importance of cardiorespiratory fitness and sleep duration in early CVD prevention: BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18–25 years

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Maria Fernström ◽  
Ulrika Fernberg ◽  
Anita Hurtig-Wennlöf
Keyword(s):  
Heart Rate ◽  
Young Adults ◽  
Young Adult ◽  
Sleep Duration ◽  
Cardiorespiratory Fitness ◽  
Healthy Lifestyle ◽  
Lifestyle Factor ◽  
Sleep Habits ◽  
Cvd Risk ◽  
Non Invasive

Abstract Background Cardiorespiratory fitness (CRF) 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 a young age. In the Lifestyle, Biomarkers and Atherosclerosis (LBA) study we have examined 834 healthy non-smoking adults, aged 18–25 years. The general purpose of the LBA study was to study the effect of lifestyle on traditional biomarkers known to influence CVD risk. The aims of the present study were to evaluate sleep habits of young adult women and men participating in the LBA study, and to compare the importance of sleep and other lifestyle habits on clinically relevant biomarkers for CVD. An additional aim was to find easy and reliable non-invasive biomarkers to detect young adults with increased risk of developing CVD later in life. Methods The participants had previously been examined for lifestyle factors, biomarkers and CVD risk score. They 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% of the young adult participants reported difficulties falling asleep or experienced troubled sleep with frequent awakenings per night. The experienced troubled sleep was not related to a higher CVD risk score, but sleep quality and duration were 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 CRF. Sleep duration was the second most influential lifestyle factor, more important than moderate- and vigorous physical activity (MVPA) and food habits. Correlations between CRF and heart rate (HR), (P < 0.01) and HOMA-IR and BMI (P < 0.01) were observed, indicating that BMI and resting HR in combination with questions about sleep patterns are easy and reliable non-invasive biomarkers to detect young adults who need counselling on a healthy lifestyle. Conclusion Decreased sleep duration in combination with decreased CRF, in young adults, is a serious health issue.

scholarly journals The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Stephen M. Mattingly ◽  
Ted Grover ◽  
Gonzalo J. Martinez ◽  
Talayeh Aledavood ◽  
Pablo Robles-Granda ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Seasonal Effects ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Sleep Behavior ◽  
Weather Effects ◽  
Wake Time ◽  
Multimodal Sensing ◽  
Four Seasons ◽  
Local Weather

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.

scholarly journals Relationship between Sleep and Hypertension: Findings from the NHANES (2007–2014)

2021 ◽  
Vol 18 (15) ◽  
pp. 7867
Author(s):  
Chunnan Li ◽  
Shaomei Shang
Keyword(s):  
Blood Pressure ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Sleep Pattern ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Short Sleep Duration ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Definition Of

Background: To evaluate the association of sleep factors (sleep duration, self-reported trouble sleeping, diagnosed sleep disorder) and combined sleep behaviors with the risk of hypertension. Methods: We analyzed 12,166 adults aged 30–79 years who participated in the 2007–2014 National Health and Nutrition Examination Survey. Sleep duration, self-reported trouble sleeping and sleep disorders were collected using a standardized questionnaire. We included three sleep factors (sleep duration, self-reported trouble sleeping and sleep disorder) to generate an overall sleep score, ranging from 0 to 3. We then defined the sleep pattern as “healthy sleep pattern” (overall sleep score = 3), “intermediate sleep pattern” (overall sleep score = 2), and “poor sleep pattern” (0 ≤ overall sleep score ≤ 1) based on the overall sleep score. The definition of hypertension was based on self-reported antihypertensive medication use or biological measurement (systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg). We used weighted logistic regression models to investigate the associations between sleep and hypertension. Results: The overall prevalence of hypertension was 37.8%. A short sleep duration (OR = 1.20, 95% CI: 1.08 to 1.33, p = 0.001), self-reported trouble sleeping (OR = 1.45, 95% CI: 1.28 to 1.65, p < 0.001) and sleep disorder (OR = 1.33, 95% CI: 1.07 to 1.66, p = 0.012) were related to the risk of hypertension. Poor sleep patterns were closely correlated with the risk of hypertension (OR = 1.90, 95% CI: 1.62 to 2.24). Conclusions: Participants with poor sleep patterns were associated with an increased risk for hypertension.

Getting Enough Sleep: On the Importance of Collecting Longitudinal Data from Wearables to Assess Sleep Quality and Seasonal Effects on Variability in Daily Activity (Preprint)

2021 ◽  
Author(s):  
María Óskarsdóttir ◽  
Anna Sigridur Islind ◽  
Elias August ◽  
Erna Sif Arnardóttir ◽  
Francois Patou ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Data Collection ◽  
Sleep Quality ◽  
Daily Activity ◽  
Hospital Environment ◽  
Sensor Data ◽  
Seasonal Patterns ◽  
Sleep Patterns ◽  
Sleep Habits

BACKGROUND The method considered the gold standard for recording sleep is a polysomnography, where the measurement is performed in a hospital environment for 1-3 nights. This requires subjects to sleep with a device and several sensors attached to their face, scalp, and body, which is both cumbersome and expensive. For longer studies with actigraphy, 3-14 days of data collection is typically used for both clinical and research studies. OBJECTIVE The primary goal of this paper is to investigate if the aforementioned timespan is sufficient for data collection, when performing sleep measurements at home using wearable and non-wearable sensors. Specifically, whether 3-14 days of data collection sufficient to capture an individual’s sleep habits and fluctuations in sleep patterns in a reliable way for research purposes. Our secondary goals are to investigate whether there is a relationship between sleep quality, physical activity, and heart rate, and whether individuals who exhibit similar activity and sleep patterns in general and in relation to seasonality can be clustered together. METHODS Data on sleep, physical activity, and heart rate was collected over a period of 6 months from 54 individuals in Denmark aged 52-86 years. The Withings Aura sleep tracker (non-wearable) and Withings Steel HR smartwatch (wearable) were used. At the individual level, we investigated the consistency of various physical activities and sleep metrics over different time spans to illustrate how sensor data from self-trackers can be used to illuminate trends. RESULTS Significant variability in standard metrics of sleep quality was found between different periods throughout the study. We show specifically that in order to get more robust individual assessment of sleep and physical activity patterns through wearable and non-wearable devices, a longer evaluation period than 3-14 days is necessary. Additionally, we found seasonal patterns in sleep data related to changing of the clock for Daylight Saving Time (DST). CONCLUSIONS We demonstrate that over two months worth of self-tracking data is needed to provide a representative summary of daily activity and sleep patterns. By doing so, we challenge the current standard of 3-14 days for sleep quality assessment and call for rethinking standards when collecting data for research purposes. Seasonal patterns and DST clock change are also important aspects that need to be taken into consideration, and designed for, when choosing a period for collecting data. Furthermore, we suggest using consumer-grade self-trackers (wearable and non-wearable ones) to support longer term evaluations of sleep and physical activity for research purposes and, possibly, clinical ones in the future.

scholarly journals The associations between different sleep patterns and osteoporosis based on the Osteoporosis Self-Assessment Tool for Asians

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Shaojun Wu ◽  
Pengbo Wang ◽  
Xiaofan Guo ◽  
Guozhe Sun ◽  
Ying Zhou ◽  
...  
Keyword(s):  
Postmenopausal Women ◽  
Sleep Duration ◽  
Assessment Tool ◽  
Sleep Patterns ◽  
Nocturnal Sleep ◽  
Short Sleep Duration ◽  
Self Assessment ◽  
Increased Risk ◽  
Daytime Nap ◽  
Osteoporosis Risk

Abstract Summary Based on the use of Osteoporosis Self-Assessment Tool for Asians (OSTA) to assess osteoporosis risk, we found that short sleep duration and taking a daytime nap had an increased risk of osteoporosis. Purpose To explore the associations between different sleep patterns with osteoporosis. Methods 3659 postmenopausal women (average age of 60 years) were divided into low, middle, and high osteoporosis risk categories based on the Osteoporosis Self-Assessment Tool for Asians (OSTA). After having collected by a standard questionnaire, total and nocturnal sleep duration was collapsed to form categories of ≤ 6 h, > 6 h and ≤ 7 h, > 7 h and ≤ 8 h, > 8 h and ≤ 9 h, > 9 h, and daytime nap duration of 0 h and > 0 h. Results As a categorical variable, the total sleep duration of ≤ 6 h per day (OR = 1.34, 95% CI 1.04–1.72), nocturnal sleep duration of ≤ 6 h per night (OR = 1.65, 95% CI 1.24–2.18), and taking a daytime nap (OR = 1.33, 95% CI 1.09–1.64) had higher osteoporosis risk after adjustment for covariates. As a continuous variable, after the adjustment for covariates, both longer total (OR = 0.86, 95% CI 0.78–0.94) and nocturnal sleep duration (OR = 0.83, 95% CI 0.76–0.91) had lower risk of osteoporosis risk while taking longer daytime nap (OR = 1.10, 95% CI 1.02–1.19) had higher osteoporosis risk. Conclusions Postmenopausal women with both short total and nocturnal sleep duration (6 h or less) and taking a daytime nap had increased osteoporosis risk as assessed by OSTA.

scholarly journals Associations Between Cardiorespiratory Fitness and Arterial Stiffness in Ankylosing Spondylitis: A Cross-sectional Study

2018 ◽  
Vol 45 (11) ◽  
pp. 1522-1525 ◽  
Author(s):  
Inger Jorid Berg ◽  
Anne Grete Semb ◽  
Silje H. Sveaas ◽  
Camilla Fongen ◽  
Désirée van der Heijde ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Arterial Stiffness ◽  
Cardiorespiratory Fitness ◽  
Cross Sectional Study ◽  
Peak Oxygen Uptake ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Walking Test ◽  
Increased Risk

Objective.To assess associations between cardiorespiratory fitness (CRF), measured as peak oxygen uptake (VO2peak), and cardiovascular disease (CVD) risk, measured by arterial stiffness, in patients with ankylosing spondylitis (AS).Methods.VO2peak was assessed by a maximal walking test on a treadmill. Arterial stiffness was measured noninvasively (Sphygmocor apparatus). Cross-sectional associations between VO2peak and arterial stiffness were analyzed using backward multivariable linear regression.Results.Among 118 participating patients, there were significant inverse associations between VO2peak and arterial stiffness, independent of traditional CVD risk factors and measures of disease activity.Conclusion.Reduced CRF may be related to increased risk of CVD in AS.

scholarly journals Interactions of Lifestyle Factors on the Risk of Anemia Among Taiwanese Adults

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1004-1004
Author(s):  
Rathi Paramastri ◽  
Chien-Yeh Hsu ◽  
Hsiu-An Lee ◽  
Jane Chao
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Dietary Pattern ◽  
Lifestyle Factors ◽  
Dietary Habit ◽  
Health Examination ◽  
Reduced Rank Regression ◽  
Cross Sectional ◽  
Increased Risk ◽  
High Adherence

Abstract Objectives The aim of this study was to investigate the association of lifestyle factors with the risk of anemia among adults in Taiwan. Methods This cross sectional study included 118,924 (43,055 men and 75,869 women) participants aged 20–45 years, who had health examination including blood tests, anthropometric measurements, and questionnaires to collect demographic, lifestyle, and dietary data at Mei Jau (MJ) Health Screening Center between 2000 to 2015. We evaluated the interactive associations of smoking, alcohol drinking, sleeping habit, physical activity, and dietary habit on the risk of anemia among study participants. The multivariable regression analysis was performed to examine the interactive correlations of lifestyle factors on the risk of anemia. Relative excess risk due to interaction (RERI) and attributable proportion (AP) were used for the estimation of additive interactions. The dietary pattern was derived by reduced rank regression. Results The anemia-inflammatory dietary pattern was heavily loaded on eggs, meat, organ meats, rice and flour products, fried rice or flour, sugary beverages, fried foods, and processed foods. Participants who actively smoked and had less sleep duration (&lt; 6 hours/day) significantly increased the risk of anemia (OR = 1.03, 95% CI: 1.01, 1.30, RERI = 0.13, 95% CI: 0.01, 0.24, AP = 0.31, 95% CI: 0.19, 0.35, all Pinteraction &lt; 0.05) compared to those who were non-smokers and had longer sleep duration (³ 7 hours/day). In addition, the interaction of less physically active (≤2 hours/week) and high adherence to anemia-inflammatory dietary pattern was positively correlate with the risk of anemia (OR = 1.10, 95% CI: 1.03, 1.18, RERI = 0.18, 95% CI: 0.02, 0.34, AP = 0.15, 95% CI: 0.08, 0.23, all Pinteraction &lt; 0.05). Conclusions Smoking, less sleep duration (&lt;6 hours/day), less physical activity (≤2 hours/week), and high adherence to anemia-inflammatory dietary pattern are associated with an increased risk of anemia. Funding Sources This study had no funding source.

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