What this is
- This research examines the impact of () and () on cardiovascular disease (CVD) and all-cause mortality.
- Using data from 30,464 adults in the National Health and Nutrition Examination Survey (2003-2014), the study analyzes dietary patterns and mortality outcomes.
- Results indicate that lower and extreme are associated with increased mortality risks.
Essence
- less than 3 times and shorter than 10 hours or longer than 14 hours are linked to higher cardiovascular and all-cause mortality.
Key takeaways
- less than 3 times increases all-cause mortality risk (HR = 1.16) and CVD mortality risk (HR = 1.33) compared to of 4-6 times.
- shorter than 10 hours shows HR of 1.30 for CVD mortality and HR of 1.23 for all-cause mortality, while longer than 14 hours has HR of 1.37 for CVD mortality.
- The findings underscore the importance of maintaining a of 4-6 times and a of 11-12 hours to reduce mortality risks.
Caveats
- Self-reported dietary data may introduce measurement errors due to variations in food intake, impacting the accuracy of results.
- The observational nature of the study limits causal inferences; unmeasured confounding factors may still influence the outcomes.
Definitions
- Daily Eating Frequency (DEF): The number of times an individual consumes food or beverages within a day.
- Nighttime Fasting Duration (NFD): The period of time from the last meal of the day to the first meal the following day.
AI simplified
Introduction
Cardiovascular disease (CVD), as the leading cause of death, is an important public health concern in the United States and worldwide. Over the past decades, dietary studies have mainly focused on the quantity and quality of dietary composition, and they successfully identified abundant dietary risk factors related to the development of CVD, forming the foundation of the American Heart Association’s Diet and Lifestyle Recommendations [1]. Recently, emerging studies have demonstrated that in addition to the quantity and quality of food, circadian eating behavior is critical for the well-being of an organism [2, 3]. A few studies have found that some circadian eating behaviors, such as breakfast skipping, late-night eating, high energy-intake at dinner, and eating time for specific food, are associated with morbidity and mortality of CVD [4–9]. However, few studies have examined whether daily eating frequency and nighttime fasting duration, as two major components of circadian eating behavior, are associated with the natural course of CVD.
Currently, evidence from prospective studies and randomized controlled trials (RCTs) has shown that less daily eating frequency is associated with higher levels of blood pressure and serum cholesterol and a greater incidence of diabetes, probably increasing the risk status of CVD [10]. However, eating behavior for less daily eating frequency is usually related to behavior for longer nighttime fasting duration, and recent RCTs have found that prolonged nighttime fasting duration can improve body weight, glucose, insulin resistance and inflammation [11–14]. Therefore, it is imperative to clarify the long-term health impact of daily eating frequency and nighttime fasting duration on cardiovascular mortality to add important knowledge in terms of circadian eating behaviors and long-term survival among free-living populations. To achieve this, we aimed to simultaneously investigate the association of daily eating frequency and nighttime fasting duration with cardiovascular and all-cause mortality in a nationally representative sample in the United States.
Methods
Study population
The National Health and Nutrition Examination Survey (NHANES) is a multistage stratified sampling study among the noninstitutionalized civilian population of the United States [15]. This study enrolled participants aged over 18 years who participated in NHANES from 2003 to 2014. After excluding participants who had missing information for food intake and mortality, 30,646 participants, including 15,072 men and 15,392 women, were included in this study. Institutional review board approval was obtained from the National Center for Health Statistics, and written informed consent was obtained before data collection.
Exposure
Participants’ food intake on two nonconsecutive days was collected by two 24-h dietary recall interviews. The first 24-h dietary recall was conducted in person, and the second 24-h dietary recall was conducted 3–10 days afterward via telephone. During the interview, the participants were requested to report the intake time of each food and beverage. The number of eating episodes was defined as the number of time stamps associated with calorie-containing food or beverage consumption, and a conservative 50 kcal cutoff was used to define an eating episode [10]. The mean daily eating frequency was calculated by the average of two-day eating episodes. The mean daily nighttime fasting duration was calculated using the following algorithm: 24 h—last eating time + first eating time. For example, a participant whose first eating time was at 7:00 a.m. and whose last eating time was at 6:00 p.m. would have a nighttime fasting duration of 24–18 + 7 = 13 h of fasting.
Main outcome
The main outcome variables were all-cause, CVD, heart disease-specific and cerebrovascular disease-specific mortality. Mortality status was determined using the National Death Index (NDI), which is a highly reliable and widely used resource to identify mortality status. The NDI provided ICD-10 codes for underlying cause of death and up to 20 contributing causes of death. Only matches with a high degree of certainty were accepted. The detailed information can be found at https://www.cdc.gov/nchs/data-linkage/mortality-public.htm↗. Death due to heart disease includes acute rheumatic fever and chronic rheumatic heart diseases (codes I00–I09), hypertensive heart disease (codes I11), hypertensive heart and renal disease (codes I13), ischemic heart diseases (codes I20–I25), and other heart diseases (codes I26–I51). Codes I60–I69 were defined as cerebrovascular disease (stroke) mortality. CVD mortality was defined as death due to heart disease or cerebrovascular disease.
Assessment of confounders
Confounders included age (years), sex (men or women), race (non-Hispanic white/non-Hispanic black/Mexican American/other), education level (< 9th grade, 9th-11th grade, high school graduate, GED or equivalent, some college or Associate in Arts degree, or college graduate or above), annual family income (< $20,000, $20,000—$45,000, $45,000—$75,000, $75,000—$100,000, or > $100,000), regular exercise habits (yes/no), smoking (yes/no), drinking (yes/no), body mass index (BMI, kg/m2), sleep duration (hour), night shift work (yes/no), daily energy intake (kcal/d), alternative healthy eating index (AHEI), fasting plasma glucose (mmol/l), plasma triglycerides (TG, mmol/l), plasma total cholesterol (TC, mmol/l), drug use for controlling glucose/hypertension/dyslipidemia (yes/no), family history of CVD (yes/no), meal skipping (breakfast/lunch/dinner/none) and dietary data surveyed on weekends.
Statistical analysis
All analyses were performed with incorporation of sample weights, stratification, and clusters to account for the complex survey design. Demographic characteristics, prevalence of diseases and anthropometric measurements are presented as the mean (95% confidence interval, CI) for continuous variables and proportion (95% CI) for categorical variables, which were compared by using general linear regression and logistic regression. Restricted cubic spline (RCS) was used to visualize the survival dose‒response relationship of daily eating frequency and nighttime fasting duration with all-cause mortality, total CVD, heart disease and stroke by setting 5 knots at the 5th, 25th, 50th, 75th, and 95th percentiles. Analysis of variance (ANOVA) was used to examine the linear or nonlinear relationship of the spline [16]. The daily eating frequency and nighttime fasting duration were categorized into quintiles. Weighted Cox proportional hazards (CPH) models were developed to evaluate the survival relationship of daily eating frequency and nighttime fasting duration with all-cause mortality, CVD, heart disease and stroke while accounting for the complex survey design. Survival time was months between the NHANES interview date and death due to CVD or the census date (31 December 2019).
We also controlled for a series of confounders, including age, sex, race, education level, annual family income, regular exercise habits, smoking, drinking, BMI, sleep duration, daily energy intake, AHEI, fasting plasma glucose, TG, TC, drug use for controlling glucose/hypertension/dyslipidemia, family history of CVD, meal skipping and dietary data surveyed on weekends in all weighted-CPH models. All statistical analyses were conducted by R 4.1.2, and two-sided P < 0.05 was considered to be statistically significant.
Sensitivity analysis
Three sensitivity analyses were performed. The first analysis excluded the participants whose follow-up duration was less than 2 years to examine whether severe illness influences the results. The second analysis excluded participants who had breakfast, lunch or dinner skipping behaviors to examine whether these associations are influenced by meal skipping. The third analysis evaluated the interaction effects of daily eating frequency and nighttime fasting duration with potential confounders (age, sex, BMI, AHEI, smoking and drinking status) by respectively adding the interaction terms in the CPH models.
Results
Baseline characteristics
| Variables | Daily eating frequency | -valueP | ||||
|---|---|---|---|---|---|---|
| Quintile 1 (< 3 times,= 8410)N | Quintile 2 (3 to 3.5 times,= 8380)N | Quintile 3 (3.5 to 4 times,= 3337)N | Quintile 4 (4 to 4.5 times,= 5485)N | Quintile 5 (4.5 to 6 times,= 4852)N | ||
| Age (years) | 44.2 (0.36) | 45.8 (0.35) | 47.1 (0.41) | 47.9 (0.34) | 47.4 (0.37) | < 0.001 |
| Men, % | 51.8 (0.6) | 50.2 (0.6) | 48.5 (1.1) | 45.9 (0.7) | 45.8 (0.9) | < 0.001 |
| Non-Hispanic white, % | 59.8 (2.0) | 68.0 (1.6) | 72.2 (1.5) | 74.5 (1.2) | 77.9 (1.2) | < 0.001 |
| Smoking, % | 27.8 (0.8) | 26.1 (0.8) | 23.8 (1.0) | 22.8 (0.7) | 21.0 (0.8) | < 0.001 |
| Drinking, % | 63.5 (0.9) | 69.4 (0.7) | 71.1 (1.2) | 73.3 (1.0) | 75.9 (1.0) | < 0.001 |
| College graduate or above, % | 46.9 (1.0) | 54.1 (1.0) | 63.1 (1.3) | 63.1 (1.3) | 69.7 (1.2) | < 0.001 |
| Household income over $75,000, % | 8.7 (0.6) | 12.5 (0.9) | 16.2 (1.1) | 18.7 (1.0) | 22.9 (1.4) | < 0.001 |
| Exercised regularly, % | 49.9 (0.7) | 44.4 (0.8) | 40.2 (1.1) | 37.8 (1.2) | 34.2 (1.2) | < 0.001 |
| Sleep duration (hours) | 6.9 (0.02) | 6.9 (0.02) | 7.0 (0.02) | 6.9 (0.02) | 6.9 (0.02) | 0.44 |
| Night shift work,% | 0.6 (0.1) | 0.6 (0.1) | 0.2 (0.1) | 0.3 (0.1) | 0.4 (0.1) | < 0.001 |
| Daily energy intake (kcal/d) | 1885.4(12.6) | 2090.9(14.3) | 2160.0 (20.0) | 2230.3 (12.9) | 2413.5 (16.9) | < 0.001 |
| AHEI | 47.5 (0.18) | 49.0 (0.19) | 50.3 (0.26) | 50.9 (0.19) | 52.1 (0.21) | < 0.001 |
| Meal skipping, % | ||||||
| Breakfast skipping | 11.4 (0.6) | 5.4 (0.3) | 2.3 (0.4) | 2.5 (0.3) | 2.2 (0.2) | < 0.001 |
| Lunch skipping | 14.3 (0.6) | 8.2 (0.4) | 6.6 (0.6) | 6.7 (0.4) | 6.1 (0.5) | < 0.001 |
| Dinner skipping | 2.8 (0.2) | 1.9 (0.2) | 1.0 (0.2) | 1.2 (0.2) | 1.4 (0.2) | < 0.001 |
| Nighttime fasting duration (hours) | 12.5 (0.04) | 11.7 (0.04) | 11.2 (0.04) | 10.8 (0.04) | 10.2 (0.04) | < 0.001 |
| First eaten time | 8:09 (1.8) | 7:57 (2.4) | 7:46 (2.4) | 7:33 (1.8) | 7:42 (1.8) | < 0.001 |
| Last eaten time | 20:09 (1.2) | 20:21 (1.8) | 20:31 (1.2) | 20:36 (1.8) | 20:46 (1.2) | < 0.001 |
| BMI, kg/m2 | 29.0(0.10) | 28.8 (0.09) | 28.8 (0.18) | 28.4 (0.15) | 28.0 (0.13) | < 0.001 |
| Hypertension, % | 36.0 (0.8) | 37.0 (0.8) | 37.0 (1.1) | 37.6 (0.9) | 34.7 (0.9) | < 0.001 |
| SBP, mm Hg | 122.4 (0.3) | 122.1 (0.3) | 121.7 (0.4) | 121.3 (0.3) | 120.9 (0.3) | < 0.001 |
| DBP, mm Hg | 70.0 (0.2) | 70.1 (0.2) | 70.4 (0.3) | 70.2 (0.3) | 70.9 (0.3) | 0.005 |
| Diabetes, % | 12.2 (0.4) | 11.5 (0.4) | 12.4 (0.9) | 10.8 (0.5) | 9.9 (0.7) | < 0.001 |
| Fasting Glucose, mmol/l | 5.86 (0.04) | 5.85 (0.04) | 5.76 (0.05) | 5.77 (0.04) | 5.68 (0.04) | < 0.001 |
| Dyslipidemia, % | 22.5 (0.7) | 27.0 (0.5) | 11.6 (0.4) | 20.4 (0.5) | 18.5 (0.5) | < 0.001 |
| TC, mmol/l | 5.00 (0.01) | 5.05(0.02) | 5.04 (0.03) | 5.10 (0.02) | 5.09 (0.02) | 0.212 |
| LDL-C, mmol/l | 2.94 (0.02) | 2.97 (0.02) | 2.93 (0.03) | 3.02 (0.02) | 2.95 (0.03) | 0.262 |
| HDL-C, mmol/l | 1.33 (0.01) | 1.35 (0.01) | 1.37 (0.01) | 1.40 (0.01) | 1.43 (0.01) | 0.013 |
| TG, mmol/l | 1.49 (0.02) | 1.54 (0.02) | 1.49 (0.04) | 1.52 (0.04) | 1.43 (0.03) | 0.262 |
| Variables | Nighttime fasting duration | -valueP | ||||
|---|---|---|---|---|---|---|
| Quintile 1 (≤ 10 h,= 7896)N | Quintile 2 (10 to 11 h,= 5116)N | Quintile 3 (11 to 12 h,= 5480)N | Quintile 4 (12 to 14 h,= 6505)N | Quintile 5 (≥ 14 h,= 5467)N | ||
| Age (years) | 46.8 (0.32) | 47.9 (0.32) | 47.3 (0.32) | 45.9 (0.39) | 42.8 (0.42) | < 0.001 |
| Men, % | 55.0 (0.7) | 50.3 (0.9) | 45.7 (0.8) | 43.8 (0.8) | 44.9 (0.8) | < 0.001 |
| Non-Hispanic white, % | 74.2 (1.3) | 73.7 (1.3) | 70.6 (1.6) | 66.9 (1.5) | 59.1 (2.0) | < 0.001 |
| Smoking, % | 28.5 (0.8) | 23.0 (0.7) | 22.9 (0.8) | 21.3 (0.8) | 25.7 (0.8) | < 0.001 |
| Drinking, % | 74.3 (0.8) | 72.8 (1.1) | 70.8 (1.0) | 67.1 (0.9) | 62.7 (1.0) | < 0.001 |
| College graduate or above, % | 30.4 (0.6) | 19.6 (0.4) | 18.6 (0.4) | 19.4 (0.4) | 12.1 (0.4) | < 0.001 |
| Household income over $75,000, % | 17.4 (1.1) | 17.4 (1.0) | 16.1 (1.0) | 13.9 (1.0) | 8.9 (0.7) | < 0.001 |
| Exercised regularly, % | 39.6 (1.1) | 40.1 (1.1) | 41.4 (1.0) | 43.0 (1.0) | 47.9 (0.9) | < 0.001 |
| Sleep duration (hours) | 6.7 (0.02) | 6.9 (0.02) | 7.0 (0.02) | 7.1 (0.02) | 7.0 (0.02) | < 0.001 |
| Night shift work,% | 0.7 (0.1) | 0.2 (0.1) | 0.1 (0.1) | 0.3 (0.1) | 0.9 (0.1) | < 0.001 |
| Daily energy intake (kcal/d) | 2365.8 (14.3) | 2200.5 (16.0) | 2094.5 (12.5) | 2006.7 (13.9) | 1868.9 (13.2) | < 0.001 |
| AHEI | 49.5 (0.19) | 50.5 (0.20) | 50.3 (0.19) | 50.2 (0.20) | 48.4 (0.19) | < 0.001 |
| Meal skipping, % | < 0.001 | |||||
| Breakfast skipping | 3.9 (0.3) | 2.3 (0.3) | 2.3 (0.3) | 4.2 (0.3) | 16.5 (0.7) | < 0.001 |
| Lunch skipping | 8.5 (0.4) | 6.6 (0.5) | 8.8 (0.6) | 8.1 (0.4) | 12.6 (0.6) | < 0.001 |
| Dinner skipping | 1.5 (0.1) | 1.3 (0.2) | 1.5 (0.2) | 1.7 (0.2) | 3.2 (0.3) | < 0.001 |
| Daily eating frequency | 4.4 (0.02) | 4.0 (0.02) | 3.8 (0.02) | 3.6 (0.02) | 3.0 (0.02) | < 0.001 |
| First eaten time | 6:40 (1.2) | 7:41 (1.8) | 8:00 (1.8) | 8:21 (1.8) | 9:10 (2.4) | < 0.001 |
| Last eaten time | 21:00 (1.2) | 20:39 (1.2) | 20:25 (1.8) | 20:06 (1.2) | 19:42 (0.03) | < 0.001 |
| BMI, kg/m2 | 28.4 (0.11) | 28.6 (0.13) | 28.5 (0.12) | 28.6 (0.11) | 28.9 (0.14) | < 0.001 |
| Hypertension, % | 37.0 (0.7) | 38.0 (0.9) | 36.7 (0.9) | 36.4 (1.0) | 33.1 (0.9) | < 0.001 |
| SBP, mm Hg | 121.5 (0.25) | 122.0 (0.36) | 121.8 (0.33) | 121.9 (0.31) | 121.3 (0.34) | 0.066 |
| DBP, mm Hg | 70.6 (0.21) | 70.9 (0.28) | 70.2 (0.26) | 70.1 (0.28) | 69.1 (0.28) | < 0.001 |
| Diabetes, % | 10.6 (0.6) | 12.2 (0.6) | 11.7 (0.5) | 11.3 (0.5) | 11.4 (0.6) | 0.001 |
| Fasting Glucose, mmol/l | 5.79 (0.04) | 5.80 (0.04) | 5.81 (0.05) | 5.78 (0.34) | 5.81 (0.05) | 0.04 |
| Dyslipidemia, % | 47.0 (0.7) | 47.5 (0.8) | 47.4 (0.9) | 46.4 (0.9) | 43.1 (1.2) | < 0.001 |
| TC, mmol/l | 5.05 (0.02) | 5.09 (0.02) | 5.08 (0.02) | 5.02 (0.02) | 5.01 (0.02) | 0.248 |
| LDL-C, mmol/l | 2.96 (0.02) | 3.01 (0.02) | 2.98 (0.02) | 2.95 (0.02) | 2.91 (0.02) | 0.305 |
| HDL-C, mmol/l | 1.37 (0.01) | 1.39 (0.01) | 1.38 (0.01) | 1.37 (0.01) | 1.34 (0.01) | < 0.001 |
| TG, mmol/l | 1.45 (0.02) | 1.48 (0.03) | 1.52 (0.03) | 1.51 (0.02) | 1.58 (0.04) | < 0.001 |
Dose‒response relationship of daily eating frequency and nighttime fasting duration with mortality
Dose–response association for the Daily eating frequency and nighttime fasting duration and mortalities for heart-disease specific and stroke specific. Legends:daily eating frequency and CVD mortality;daily eating frequency and all-cause mortality;nighttime fasting duration and CVD mortality;nighttime fasting duration and all-cause mortality A B C D
Hazards ratio (HR) and 95% CI for association of daily eating frequency and nighttime fasting duration with mortality
After the daily eating frequency and nighttime fasting duration were included in the fully adjusted model, daily eating frequency less than 3 times was still associated with greater mortality risks of all-cause (HR: 1.16, 95% CI: 1.01 to 1.33), CVD (HR: 1.33, 95% CI: 1.06 to 1.67) and heart disease (HR: 1.44, 95% CI: 1.09 to 1.90), as shown in Table 3, in the fully adjusted model. Moreover, nighttime fasting duration less than 10 h or more than 14 h was significantly associated with greater mortality risks of all-cause (HR: 1.23, 95% CI: 1.08 to 1.39 for quintile 1; HR: 1.36, 95% CI: 1.19 to 1.54 for quintile 5), CVD (HR: 1.30, 95% CI: 1.08 to 1.55 for quintile 1; HR: 1.37, 95% CI: 1.12 to 1.67 for quintile 5), heart disease-specific (HR: 1.41, 95% CI: 1.11 to 1.79 for quintile 1; HR: 1.48, 95% CI: 1.12 to 1.97 for quintile 5) and stroke-specific (HR: 1.89, 95% CI: 1.11 to 3.23 for quintile 1; HR: 1.84, 95% CI: 1.04 to 3.24 for quintile 5), as shown in Table 4, in the fully adjusted model.
| Daily eating Frequency | |||||
|---|---|---|---|---|---|
| Quintile 1 (< 3 times) | Quintile 2 (3 to 3.5 times) | Quintile 3 (3.5 to 4 times) | Quintile 4 (4 to 4.5 times) | Quintile 5 (4.5 to 6 times) | |
| All-cause mortality | |||||
| Death/person-years | 1879/108202 | 759/49470 | 789/54242 | 495/35711 | 635/59486 |
| Unadjusted | 1.67 (1.48–1.89) | 1.54 (1.34–1.77) | 1.39 (1.21–1.59) | 1.44 (1.25–1.66) | 1 (ref.) |
| Model 1 | 1.38 (1.21–1.56) | 1.30 (1.13–1.49) | 1.22 (1.06–1.42) | 1.23 (1.06–1.42) | 1 (ref.) |
| Model 2 | 1.23 (1.07–1.40) | 1.23 (1.07–1.41) | 1.16(0.99–1.34) | 1.21(1.04–1.39) | 1 (ref.) |
| Model 3 | 1.16 (1.01–1.33) | 1.20(1.05–1.37) | 1.14(0.98–1.33) | 1.21(1.04–1.39) | 1 (ref.) |
| CVD mortality | |||||
| Death/person-years | 797/108202 | 297/49470 | 319/54242 | 181/35711 | 229/59486 |
| Unadjusted | 2.12 (1.75–2.57) | 1.79 (1.44–2.21) | 1.72(1.40–2.10) | 1.49(1.18–1.88) | 1 (ref.) |
| Model 1 | 1.63 (1.33–2.00) | 1.41 (1.14–1.75) | 1.44 (1.17–1.77) | 1.22(0.95–1.56) | 1 (ref.) |
| Model 2 | 1.39 (1.12–1.71) | 1.28 (1.04–1.59) | 1.33 (1.08–1.63) | 1.78 (0.92–1.50) | 1 (ref.) |
| Model 3 | 1.33 (1.06–1.67) | 1.27 (1.02–1.58) | 1.32 (1.07–1.63) | 1.18 (0.92–1.51) | 1 (ref.) |
| Heart disease-specific mortality | |||||
| Death/person-years | 512/108202 | 194/49470 | 219/54242 | 113/35711 | 143/59486 |
| Unadjusted | 2.35 (1.86–2.98) | 2.06 (1.57–2.69) | 2.07 (1.62–2.64) | 1.64 (1.24–2.18) | 1 (ref.) |
| Model 1 | 1.87 (1.47–2.39) | 1.64 (1.24–2.15) | 1.80 (1.41–2.30) | 1.36 (1.03–1.81) | 1 (ref.) |
| Model 2 | 1.51 (1.17–1.94) | 1.44 (1.10–1.89) | 1.62 (1.27–2.08) | 1.29 (0.98–1.71) | 1 (ref.) |
| Model 3 | 1.44 (1.09–1.90) | 1.43 (1.08–1.90) | 1.62 (1.25–2.10) | 1.30 (0.98–1.74) | 1 (ref.) |
| Stroke-specific mortality | |||||
| Death/person-years | 113/108202 | 32/49470 | 45/54242 | 28/35711 | 34/59486 |
| Unadjusted | 0.72 (0.48–1.08) | 0.77 (0.48–1.21) | 1.10 (0.67–1.82) | 1.28 (0.94–1.74) | 1 (ref.) |
| Model 1 | 0.77 (0.50–1.21) | 0.76 (0.47–1.23) | 1.10 (0.68–1.77) | 1.30 (0.94–1.81) | 1 (ref.) |
| Model 2 | 0.89 (0.54–1.48) | 0.85 (0.52–1.37) | 1.19 (0.73–1.96) | 1.39 (0.99–1.91) | 1 (ref.) |
| Model 3 | 0.90 (0.52–1.57) | 0.89 (0.51–1.57) | 1.28 (0.76–2.17) | 1.47 (1.04–2.07) | 1 (ref.) |
| Nighttime fasting duration | |||||
|---|---|---|---|---|---|
| Quintile 1 (≤ 10 h) | Quintile 2 (10 to 11 h) | Quintile 3 (11 to 12 h) | Quintile 4 (12 to 14 h) | Quintile 5 (≥ 14 h) | |
| All-cause mortality | |||||
| Death/person-years | 1021/78644 | 673/51160 | 808/54800 | 1066/65050 | 992/55763 |
| Unadjusted | 1.07 (0.94–1.22) | 1 (ref.) | 1.18 (1.03–1.35) | 1.23 (1.08–1.41) | 1.38 (1.22–1.58) |
| Model 1 | 1.15 (1.01–1.31) | 1 (ref.) | 1.15 (1.01–1.32) | 1.27 (1.13–1.43) | 1.57 (1.39–1.78) |
| Model 2 | 1.16 (1.03–1.32) | 1 (ref.) | 1.13 (0.99–1.30) | 1.23 (1.10–1.39) | 1.47 (1.29–1.68) |
| Model 3 | 1.23 (1.08–1.39) | 1 (ref.) | 1.10 (0.96–1.26) | 1.16 (1.04–1.30) | 1.36 (1.19–1.54) |
| CVD mortality | |||||
| Death/person-years | 388/78644 | 260/51160 | 323/54800 | 433/65050 | 420/55763 |
| Unadjusted | 1.10 (0.91–1.32) | 1 (ref.) | 1.25 (1.02–1.54) | 1.30 (1.06–1.59) | 1.56 (1.30–1.86) |
| Model 1 | 1.19 (0.99–1.42) | 1 (ref.) | 1.23 (1.01–1.49) | 1.30 (1.06–1.59) | 1.68 (1.42–1.99) |
| Model 2 | 1.21 (1.01–1.44) | 1 (ref.) | 1.19 (0.98–1.44) | 1.23 (1.00–1.52) | 1.52 (1.28–1.80) |
| Model 3 | 1.30 (1.08–1.55) | 1 (ref.) | 1.15 (0.95–1.39) | 1.14 (0.93–1.40) | 1.37 (1.12–1.67) |
| Heart disease-specific mortality | |||||
| Death/person-years | 255/78644 | 165/51160 | 206/54800 | 276/65050 | 280/55763 |
| Unadjusted | 1.19 (0.93–1.51) | 1 (ref.) | 1.32 (1.02–1.72) | 1.35 (1.07–1.70) | 1.77 (1.41–2.23) |
| Model 1 | 1.27 (1.00–1.62) | 1 (ref.) | 1.27 (0.99–1.64) | 1.35 (1.07–1.70) | 1.95 (1.55–2.47) |
| Model 2 | 1.30 (1.02–1.66) | 1 (ref.) | 1.23 (0.95–1.58) | 1.26 (1.00–1.59) | 1.72 (1.34–2.19) |
| Model 3 | 1.41 (1.11–1.79) | 1 (ref.) | 1.18 (0.91–1.52) | 1.15 (0.91–1.44) | 1.48 (1.12–1.97) |
| Stroke-specific mortality | |||||
| Death/person-years | 57/78644 | 31/51160 | 43/54800 | 66/65050 | 55/55763 |
| Unadjusted | 1.54 (0.95–2.52) | 1 (ref.) | 1.52 (0.86–2.68) | 1.80 (1.06–3.03) | 1.77 (1.12–2.79) |
| Model 1 | 1.76 (1.02–3.05) | 1 (ref.) | 1.49 (0.80–2.76) | 1.73 (0.99–3.04) | 1.97 (1.22–3.19) |
| Model 2 | 1.79 (1.04–3.09) | 1 (ref.) | 1.44 (0.78–2.68) | 1.65 (0.92–2.98) | 1.81 (1.09–2.99) |
| Model 3 | 1.89 (1.11–3.23) | 1 (ref.) | 1.40 (0.75–2.63) | 1.59 (0.84–2.98) | 1.84 (1.04–3.24) |
Sensitivity analysis
The first sensitivity analysis showed that excluding participants whose follow-up duration was less than 24 months yielded similar results for both CVD mortality and all-cause mortality (Supplementary Tablesand), suggesting that serious illness likely would not influence the above results. The second sensitivity analysis excluded participants with breakfast, lunch or dinner skipping, and the results of the weight CPH model were similar to those of the total sample (Supplementary Tables,,,,and). The third sensitivity analysis showed that age, sex, BMI, smoking and drinking status did not modify the association of daily eating frequency and nighttime fasting duration with all-cause mortality and CVD (Supplementary Table). However, the AHIE modified the association of daily eating frequency with the mortality risk of all-cause and CVD (P for interaction < 0.001). Therefore, we further examined the association of daily eating frequency with all-cause and CVD by the median value of the AHEI. The results indicated that the above association was more obvious for participants whose AHEI value was over the median but that it decreased among participants whose AHEI value was below the median. 1 2 3 4 5 6 7 8 9
Discussion
To the best of our knowledge, this study represents the first instance of prospective evidence regarding the relationship between daily eating frequency and nighttime fasting duration with cardiovascular disease (CVD) and all-cause mortality. We conducted this research using a nationally representative sample from the United States, with a median follow-up period of 10.1 years. Our findings indicate that both daily eating frequency less than 3 times and nighttime fasting duration less than 10 h or longer than 14 h are independently associated with a greater risk of both CVD and all-cause mortality. Importantly, these associations remained significant even after accounting for classical known nutritional and cardiovascular risk factors.
The findings of this study, which reveal an increased risk of cardiovascular disease (CVD) and all-cause mortality associated with a daily eating frequency of less than three times per day, are consistent with research studies. For instance, a prospective analysis involving men showed that individuals who consumed meals only 1 to 2 times a day had a 26% higher risk of diabetes compared to those with a regular three-meal-a-day pattern [17]. Additionally, an intervention trial conducted without caloric restriction demonstrated that individuals who ate just one meal per day had 19% and 25% higher levels of total and LDL cholesterol, respectively, as well as elevated systolic and diastolic blood pressure, compared with participants whose meal frequency was 4 to 6 times a day [18]. Furthermore, irregular eating behaviors might contribute to the observed association. In this study, it was noted that participants with a daily eating frequency of less than three times were more likely to exhibit irregular eating habits, including meal skipping. A recent prospective study found that irregular meal patterns were associated with a higher incidence of CVD [19], and several cross-sectional studies have reported that individuals with irregular meal patterns were more prone to obesity, metabolic syndrome, dyslipidemia, and oxidative stress [20–22]. Intervention studies have also shown that individuals with irregular meal frequencies (3–9 eating occasions per day) had higher levels of insulin resistance and hyperlipidemia than those with six regular eating episodes per day [23, 24]. Additionally, our data indicate that maintaining a consistent daily eating pattern of 4–6 times a day holds greater significance among participants who already have a high-quality daily diet than among those with low dietary quality. This observation implies that even individuals with generally healthy diets should pay close attention to both the frequency and regularity of their daily eating habits to reduce the risks of mortality associated with CVD.
In addition to daily eating frequency, the duration of nighttime fasting is another crucial aspect of circadian eating behavior. While current research in both animals and humans has consistently reported positive health effects associated with extended nighttime fasting, such as weight loss and improved glucose and lipid regulation [11–14], our study has uncovered a more complex relationship. Our findings indicate that the health impacts of nighttime fasting duration are not straightforward. Specifically, individuals with a nighttime fasting duration of less than 10 h or more than 14 h both exhibited greater mortality risks related to total CVD, heart disease, and stroke. These findings regarding the health impacts of shortened nighttime fasting duration to some extent align with previous studies. Previous cross-sectional studies have consistently reported that individuals who habitually engage in late-night eating exhibit a higher prevalence of obesity, diabetes, and metabolic syndrome, accompanied by elevated levels of inflammation [25–28]. Additionally, a prospective study revealed that men who consumed nighttime meals had a greater incidence of coronary heart disease than those who refrained from eating during the night [29]. This association may be linked to disruptions in rhythmic secretion of insulin, which might be a key mechanism underlying these observations. Under normal circumstances, insulin secretion follows a rhythmic pattern characterized by a gradual increase during the day and a decrease during the night [30]. Late-night eating can directly stimulate insulin secretion, leading to disruption of this natural rhythmic pattern [31]. Both in vivo and in vitro experiments have demonstrated that mistimed insulin signaling can disturb the circadian organization of mouse behavior and expression of clock genes [32]. This disruption occurs through increased synthesis of the PERIOD protein via insulin and IGF-1 receptor signaling, ultimately resulting in metabolic disorder [32].
Furthermore, the most important finding in this study pertains to the observation that an extended nighttime fasting duration is linked to a higher mortality risk, particularly in relation to stroke-specific mortality. It is worth noting that several studies have previously underscored the positive health effects associated with nighttime fasting durations exceeding 14 h [11–14]. However, it is important to consider the context in which these studies were conducted. Many of the studies emphasizing the benefits of prolonged nighttime fasting were carried out among individuals who were overweight or had obesity or prediabetes [11–13]. These investigations often had specific goals, such as weight loss or glucose control, and typically had professional staff guidance during intervention [11–13]. These factors may contribute to the disparities in results between our study and previous RCTs. Although long-term observation evidence based on the general population focusing on the health impacts of daily fasting duration on CVD is relatively limited, the findings may be supported by Ramadan fasting. Ramadan fasting requires participants to maintain a fasting duration ranging from 14 to 20 h per day, and previous studies have found that the incidence of stroke increases among Bedouin Arabs during Ramadan [33, 34]. Moreover, it has been reported that meal skipping or prolonged fasting duration is associated with migraine [35], and the incidence of migraine has been documented to be associated with a higher incidence of stroke and heart disease [36]. Mechanistically, it has been reported that expression of more than 3000 genes has a 12-h biological rhythm for maintaining homeostasis of various hormones, including ghrelin, cortisol, melatonin, leptin, and serotonin [37–42]. A few studies have demonstrated that prolonged nighttime fasting duration elevates circulating ghrelin levels at night [43, 44], probably disrupting the circadian pattern of hormone homeostasis, which may increase the mortality risk of CVD. Additionally, temporal fasting has been found to have a significant impact on the immune system. Specifically, it can lead to a drastic reduction in levels of B cells in Peyer's patches, with germinal center B cells undergoing apoptosis. This effect on the immune system has the potential to impair its normal function, which may have implications for overall health and potentially contribute to adverse health outcomes [45].
Strength and limitations
The major strengths of this population-based study are the use of a nationally representative sample with high-quality dietary data, strengthening the generalization of our findings to the free-living population in the United States. Moreover, the follow-up duration was up to 17 years, and the rates of matched records in NHANES 2003–2014 Linked Mortality File were relatively high. Last, the association documented in this study is relatively robust with adjustment for a variety of classic confounders of CVD, including dietary and biochemical risk factors. However, we also recognize that the study has certain limitations. First, although self-reported 24-h dietary recall is the most valid and widely used method to collect diet information in nutritional epidemiological studies, it has subjective measurement error due to day-to-day variations in food intake. Second, consecutive days of 24-h dietary information collection were not available. Therefore, last and first eating times were used to estimate the fasting duration, making the true estimation of the fasting period from one night to the next morning impossible. This probably led to residual confounding, though confounders related to fasting duration, including night-shift workers, sleep duration and weekend dietary reports, were adjusted. Third, we controlled for a series of potential confounders; however, this study was observational in nature, and other unmeasured confounding factors cannot be ruled out.
Clinical perspectives
Nutritional therapy is a critical element of CVD prevention and treatment. This study found that in addition to the quantity and quality of dietary factors, lowered eating frequency with meal skipping and shortened or prolonged fasting duration were all independently associated with total CVD and heart disease-specific and stroke-specific mortality, suggesting that circadian eating behaviors play important roles in the development of CVD. The guidelines and recommendations of the World Heart Federation in terms of dietary management in CVD should integrate and emphasize the importance of circadian eating behaviors. Cardiovascular professionals should be aware of the current findings from this study regarding the potential beneficial effects of regular meal patterns with daily eating frequencies ranging from 4 to 6 times and nighttime fasting durations ranging from 10 to 12 h on cardiovascular health. This information is of importance in providing individualized nutritional prevention and treatment plans for free-living populations. Moreover, this study was observational in nature, and in the future, the investigation should focus on the role of circadian eating behaviors on health through RCTs. Also, the mechanisms underlying the circadian eating behaviors and their relationship with health should be elucidated by animal experiments. This will provide a more robust scientific basis for the updating and revision of nutritional disease prevention and treatment guidelines.
Conclusion
This study found that a daily eating frequency less than 3 times and a nighttime fasting duration shorter than 10 h or longer than 14 h were independently associated with greater all-cause, CVD, heart disease-specific and stroke-specific mortality. Participants should maintain daily eating frequency from 4 to 6 times and maintain nighttime fasting duration at 11–12 h to reduce their mortality risks of all-cause and CVD.
Supplementary Information
Additional file 1:Supplementary Figure 1. Scatter plot for the relationship between daily eating frequency and nighttime fasting duration. Supplementary Figure 2. Dose-response association for the Daily eating frequency and nighttime fasting duration and mortalities for heart-disease specific and stroke specific. Supplementary Table 1. Association of daily eating frequency with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants whose follow-up years were less than two years. Supplementary Table 2. Association of nighttime fasting duration with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants whose follow-up years were less than two years. Supplementary Table 3. Association of daily eating frequency with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants who did not eat breakfast. Supplementary Table 4. Association of nighttime fasting duration with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants who did not eat breakfast. Supplementary Table 5. Association of daily eating frequency with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants who did not eat lunch. Supplementary Table 6. Association of nighttime fasting duration with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants who did not eat lunch. Supplementary Table 7. Association of daily eating frequency with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants who did not eat dinner. Supplementary Table 8. Association of nighttime fasting duration with mortalities of all-cause, CVD, heart disease and stroke after excluding the participants who did not eat dinner. Supplementary Table 9. The p-values for the modification effects of potential confounders on the association of daily eating frequency and nighttime fasting duration with mortality outcomes. Supplementary Table 10. Association of daily eating frequency with mortalities of all-cause and CVD among participants with AHEI below or over median.