Several studies suggest that dietary fiber intake may reduce mortality risk, but this might depend on the fiber types and the evidence regarding the role of soluble fiber or insoluble fiber on death risk remain limited and inconsistent. Therefore, this study aimed to comprehensively evaluate multiple types of dietary fiber intake on mortality from all causes, cardiovascular disease and cancer in the large-scale Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) Screening Trial.
Methods
A multivariate Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).
Results
This study finally included 86,642 participants with 17,536 all-cause deaths, 4842 cardiovascular deaths and 5760 cancer deaths identified after a total of 1,444,068 follow-up years. After adjusting for potential confounders, dietary total fiber intake was statistically significantly inversely associated with all-cause death (Q5 vs Q1: HR 0.71, 95% CI 0.66–0.75; P for trend < 0.001), cardiovascular death (Q5 vs Q1: HR 0.73, 95% CI 0.65–0.83; P for trend < 0.001) and cancer mortality (Q5 vs Q1: HR 0.77, 95% CI 0.69–0.86; P for trend < 0.001). Similar results were observed for both insoluble and soluble fiber intake. Restricted cubic spline model analysis suggested that there was a nonlinear association of dietary fiber intake with mortality risk (all P for nonlinearity < 0.05).
Conclusions
In this large nationally representative sample of US adult population, intakes of total fiber, soluble fiber, and insoluble fiber were associated with lower risks of all-cause, cardiovascular and cancer mortality.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Introduction
Non-communicable diseases (NCDs) continue to be important public health problems in the world as the leading cause of death globally, responsible for approximately 70% of mortality worldwide [1]. The majority of these deaths were due to cardiovascular disease, cancer, chronic respiratory diseases and diabetes. Unhealthy diet is an important modifiable risk factor for NCDs [2]. A recent study from the Global Burden of Diseases (GBD) consortium reported that 11 million deaths were attributable to dietary risk factors [3]. High intake of sodium, and low intake of whole grains, and fruits were the leading dietary risk factors for death globally [3].
Whole grains and fresh fruits are the major sources of dietary fiber [4]. Inadequate consumption of dietary fiber has been associated with a variety of health outcomes, including cancer (e.g., colorectal cancer [5], breast cancer [6], endometrial cancer [7], and renal cell carcinoma [8]), diabetes [9], and CVD [10]. Emerging data also have indicated a potential inverse associations of total dietary fiber intake with all-cause or cause-specific mortality [11‐13]. However, controversy still exists [14, 15] and there are some differences for men and women [12]. In addition, there are two main types of fiber: insoluble fiber and soluble fiber. Soluble fiber is found in oat bran, barley, beans, lentils, peas, and some fruits and vegetables. Insoluble fiber is rich in foods such as wheat bran, whole grains, nuts, and seeds. Previous studies suggest that dietary fiber may be differentially associated with health outcomes depending on their solubility [16, 17]. For instance, soluble fiber is prompted as an important part of stabilizing blood sugar and improving insulin responses [18]. Intake of soluble fiber supplementation is effective in improving glycemic control in type 2 diabetes [19]. In contrast, insoluble fiber is characterized by a fecal-bulking ability, which may reduce the risk of colon cancer [20]. Currently, the body of evidence regarding soluble fiber or insoluble fiber remain limited and inconsistent.
Anzeige
In this context, our objectives were to investigate the associations between intake of dietary fiber of different types (i.e., total fiber, soluble fiber and insoluble fiber) and mortality from all causes, cardiovascular disease and cancer in a large prospective cohort of US adults.
Methods
Study population
Study participants were identified from the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) Screening Trial. The design and methods of the PLCO trial have been previously described [21]. Briefly, the PLCO study is a randomized, controlled trial to determine whether certain screening tests reduce death from prostate, lung, colorectal, and ovarian cancer. PLCO consisted of 154,952 individuals aged 55 to 74 years and enrolled between November 1993 and July 2001. The participants were recruited via 10 centers in the United States. These PLCO Screening Centers recruited possible participants and evaluated their eligibility to participate in PLCO. Nine of the ten centers began enrollment in November 1993. The tenth center began enrollment in January 1998. All participants provided written informed consent, and the study was approved by the Institutional Review Boards at the National Cancer Institute and each of the participating centers.
Data collection and dietary assessment
All participants were asked to complete a baseline questionnaire (BQ) containing baseline information such as demographics, medical history and other selected life style factors. The Dietary History Questionnaire (DHQ) was administered to participants to collect dietary data. 77% of all participants in both arms of the trial completed the DHQ. The form was introduced 5 years into the trial (December 1998). Raw questionnaire responses were processed into analysis-ready variables in terms of gram intake, pyramid servings, food frequencies per day, to name just a few. DHQ included the prespecified portion size and consumption frequency of 124 food items and supplement use over the previous year [22]. The USDA 1994 to 1996 Continuing Survey of Food Intakes by Individuals [23] were used to calibrate DHQ data and calculate the daily fiber intake. Main sources of dietary fiber were cereal/grain, vegetables, fruit, and legumes [24].
Participant selection
Participants were excluded from this study if they did not complete a BQ (n = 4918); had reported a previous cancer (n = 10,199), heart disease (n = 12,616), stroke (n = 2410), or diabetes (n = 8076) at baseline; did not have follow-up time (n = 13); failed to complete DHQ or the DHQ was not valid (n = 30,023). Thus, this study included 86,642 participants. The main characteristics of participants included and excluded are shown in Additional file 1: Table S1.
Anzeige
Outcome assessment
Participants were followed from the date of DHQ completion to the time of death or through 2015. Vital status was obtained by the administration of the Annual Study Update questionnaire, reports from relatives, friends, or physicians, and National Death Index. Study centers attempted to obtain a death certificate for each death. The cause of deaths was classified according to the International Classification of Diseases, 9th Revision (ICD-9). The primary outcomes of interest were all-cause mortality (death from any cause), and mortality from CVD or cancer.
Statistical analysis
Dietary fiber intake was categorized into five equal groups. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for the mortality risk associated with fiber intake. Model included adjustment for age (continuous), sex (male vs. female), race (non-Hispanic White vs. Other), body mass index (BMI, < 25.0 kg/m2 vs. ≥ 25.0 kg/m2), education (≤ high school vs. ≥ some college), smoking status (never vs. former ≤ 15 years since quit vs. former > 15 years since quit vs. former year since quit unknown vs. current smoker ≤ 1 pack per day vs. current smoker > 1 pack per day vs. current smoker intensity unknown), marital status (married vs. not married), alcohol drinking status (never vs. former vs. current), and total energy intake (continuous). Tests for trend were assessed by assigning each individual in a particular quintile of fiber intake the median value for that quintile.
Stratified analyses were performed based on age, sex, race, smoking status, drinking habits, education level and BMI. Sensitivity analyses were conducted by excluding events that occurred within 2 years or within 5 years of follow-up. Interactions were examined by using likelihood-ratio tests. The proportional hazards (PH) assumption was checked using the Schoenfeld residual test [25]. Restricted cubic spline models [26] with three fitted knots (i.e., 10th, 50th, and 90th percentiles) were used to investigate the dose–response relationship between dietary fiber intake (as a continuous variable) and each outcome after full adjustment. A 2-tailed P value < 0.05 was considered significant, and analyses were conducted by using STATA version 15 (Stata Corp, College Station, TX, USA).
Results
Cohort characteristics
During a total of 1,444,068 follow-up years, 17,536 all-cause deaths, 4842 cardiovascular deaths and 5760 cancer deaths were identified. The median (IQR) follow-up duration was 17.1 (15.3–19.1) years. The average age of participants at baseline was 62.1 (SD 5.2) years. The median (IQR) intakes of dietary fiber were 16.5 (12.1–22.1) g/day. In comparison with participants in the lowest category of dietary fiber intake, participants in the highest category were more often female, married, and tended to have a higher level of education, and less often be current smokers (Table 1).
Table 1
Main characteristics of participants included in this study by dietary fiber intake
Variables
Q1 (n = 17,360)
Q2 (n = 17,330)
Q3 (n = 17,322)
Q4 (n = 17,304)
Q5 (n = 17,326)
p
Age (years), mean (SD)
62.1 (5.2)
62.2 (5.2)
62.1 (5.2)
62.1 (5.2)
62.1 (5.2)
0.35
Sex (n, %)
Female
6579 (37.9%)
7041 (40.6%)
7661 (44.2%)
8469 (48.9%)
9931 (57.3%)
< 0.001
Male
10,781 (62.1%)
10,289 (59.4%)
9661 (55.8%)
8835 (51.1%)
7395 (42.7%)
Arm (n, %)
Screen
8747 (50.4%)
8808 (50.8%)
8686 (50.1%)
8998 (52.0%)
8968 (51.8%)
< 0.001
Control
8613 (49.6%)
8522 (49.2%)
8636 (49.9%)
8306 (48.0%)
8358 (48.2%)
Smoking (n, %)
Never
7998 (46.1%)
8493 (49.0%)
8664 (50.0%)
8816 (51.0%)
8698 (50.2%)
< 0.001
Current
2451 (14.1%)
1726 (10.0%)
1465 (8.5%)
1249 (7.2%)
1168 (6.7%)
Former
6909 (39.8%)
7107 (41.0%)
7192 (41.5%)
7231 (41.8%)
7457 (43.0%)
Education (n, %)
≤ High school
8187 (47.2%)
7393 (42.7%)
7026 (40.6%)
6765 (39.1%)
6492 (37.5%)
< 0.001
≥ Some college
9126 (52.6%)
9911 (57.2%)
10,272 (59.3%)
10,494 (60.6%)
10,801 (62.3%)
BMI (n, %)
< 25.0 kg/m2
6169 (35.5%)
6264 (36.1%)
6217 (35.9%)
6190 (35.8%)
6155 (35.5%)
0.75
≥ 25.0 kg/m2
10,942 (63.0%)
10,842 (62.6%)
10,879 (62.8%)
10,903 (63.0%)
10,944 (63.2%)
Race (n, %)
White, Non-Hispanic
15,530 (89.5%)
15,932 (91.9%)
16,071 (92.8%)
16,045 (92.7%)
15,703 (90.6%)
< 0.001
Other
1830 (10.5%)
1398 (8.1%)
1251 (7.2%)
1259 (7.3%)
1623 (9.4%)
Marital status (n, %)
Married
12,815 (73.8%)
13,622 (78.6%)
13,830 (79.8%)
13,845 (80.0%)
13,726 (79.2%)
< 0.001
Not married
4505 (26.0%)
3685 (21.3%)
3466 (20.0%)
3412 (19.7%)
3571 (20.6%)
y year, SD Standard deviation, BMI body mass index
Dietary fiber intake and all-cause mortality
HRs for all-cause mortality across total dietary fiber quintiles are presented in Table 2. After adjusting for confounders, dietary total fiber intake was statistically significantly inversely associated with all-cause mortality (Q5 vs Q1: HR 0.71, 95% CI 0.66–0.75; P for trend < 0.001). When fiber was analyzed as a continuous variable, the results were similar. Corresponding adjusted HR was 0.89 (95% CI 0.87–0.91) per 1 SD increment of dietary fiber intake. Similar patterns of associations were observed for insoluble fiber (Q5 vs Q1: HR 0.71, 95% CI 0.67–0.75; P for trend < 0.001) and soluble fiber (Q5 vs Q1: HR 0.76, 95% CI 0.71–0.81; P for trend < 0.001), separately.
Table 2
Association between dietary fiber intake and all-cause mortality
Variables
Median (g/day)
Cohort (n)
Cases (n)
Crude HR (95% CI), p-value
Adjusted HR* (95% CI), p-value
Total
Q1 (< 11.12)
8.83
17,360
3852
Reference
Reference
Q2 (≥ 11.12 to < 14.71)
12.95
17,330
3515
0.88 (0.84–0.93), p < 0.001
0.88 (0.84–0.92), p < 0.001
Q3 (≥ 14.71 to < 18.41)
16.48
17,322
3380
0.83 (0.79–0.87), p < 0.001
0.82 (0.78–0.86), p < 0.001
Q4 (≥ 18.41 to < 23.75)
20.74
17,304
3348
0.82 (0.78–0.85), p < 0.001
0.77 (0.73–0.82), p < 0.001
Q5 (≥ 23.75)
28.75
17,326
3441
0.83 (0.79–0.87), p < 0.001
0.71 (0.66–0.75), p < 0.001
p for trend < 0.001
p for trend < 0.001
Insoluble
Q1 (< 7.21)
5.7
17,366
3871
Reference
Reference
Q2 (≥ 7.21 to < 9.63)
8.44
17,342
3554
0.89 (0.85–0.93), p < 0.001
0.89 (0.85–0.93), p < 0.001
Q3 (≥ 9.63 to < 12.11)
10.8
17,312
3361
0.82 (0.78–0.86), p < 0.001
0.82 (0.78–0.86), p < 0.001
Q4 (≥ 12.11 to < 15.73)
13.69
17,332
3318
0.80 (0.77–0.84), p < 0.001
0.77 (0.73–0.81), p < 0.001
Q5 (≥ 15.73)
19.09
17,290
3432
0.82 (0.78–0.86), p < 0.001
0.71 (0.67–0.75), p < 0.001
p for trend < 0.001
p for trend < 0.001
Soluble fiber
Q1 (< 3.72)
2.97
17,395
3817
Reference
Reference
Q2 (≥ 3.72 to < 4.91)
4.32
17,304
3477
0.89 (0.85–0.93), p < 0.001
0.89 (0.85–0.93), p < 0.001
Q3 (≥ 4.91 to < 6.15)
5.49
17,351
3404
0.85 (0.81–0.89), p < 0.001
0.84 (0.80–0.88), p < 0.001
Q4 (≥ 6.15 to < 7.92)
6.91
17,266
3290
0.81 (0.77–0.85), p < 0.001
0.77 (0.73–0.81), p < 0.001
Q5 (≥ 7.92)
9.62
17,326
3548
0.87 (0.83–0.91), p < 0.001
0.76 (0.71–0.81), p < 0.001
p for trend < 0.001
p for trend < 0.001
*Adjusted for age (continuous), sex (male vs. female), race (non-Hispanic White vs. Other), body mass index (BMI, < 25.0 kg/m2 vs. ≥ 25.0 kg/m2), education (≤ high school vs. ≥ some college), smoking status (never vs. former ≤ 15 years since quit vs. former > 15 years since quit vs. former year since quit unknown vs. current smoker ≤ 1 pack per day vs. current smoker > 1 pack per day vs. current smoker intensity unknown), marital status (married vs. not married), alcohol drinking status (never vs. former vs. current), and total energy intake (continuous)
Dietary fiber intake and cause-specific mortality
As can be seen from Table 3, based on the fully adjusted model, higher intake of dietary total fiber was statistically significantly associated with a lower risk of cardiovascular mortality (Q5 vs Q1: HR 0.73, 95% CI 0.65–0.83; P for trend < 0.001)(Table 3). Greater consumption of insoluble fiber (Q5 vs Q1: HR 0.72, 95% CI 0.65–0.81; P for trend < 0.001) and soluble fiber (Q5 vs Q1: HR 0.78, 95% CI 0.69–0.88; P for trend < 0.001) were also significantly associated with a lower risk of cardiovascular death.
Table 3
Association between dietary fiber intake and CVD mortality
Variables
Median (g/day)
Cohort (n)
Cases (n)
Crude HR (95% CI), p-value
Adjusted HR* (95% CI), p-value
Total
Q1 (< 11.12)
8.83
17,360
1044
Reference
Reference
Q2 (≥ 11.12 to < 14.71)
12.95
17,330
987
0.91 (0.84–1.00), p = 0.044
0.91 (0.84–1.00), p = 0.046
Q3 (≥ 14.71 to < 18.41)
16.48
17,322
931
0.84 (0.77–0.92), p < 0.001
0.83 (0.76–0.92), p < 0.001
Q4 (≥ 18.41 to < 23.75)
20.74
17,304
913
0.82 (0.75–0.89), p < 0.001
0.78 (0.70–0.86), p < 0.001
Q5 (≥ 23.75)
28.75
17,326
967
0.85 (0.78–0.93), p < 0.001
0.73 (0.65–0.83), p < 0.001
p for trend < 0.001
p for trend < 0.001
Insoluble
Q1 (< 7.21)
5.7
17,366
1055
Reference
Reference
Q2 (≥ 7.21 to < 9.63)
8.44
17,342
1003
0.92 (0.84–1.00), p = 0.056
0.92 (0.84–1.00), p = 0.063
Q3 (≥ 9.63 to < 12.11)
10.8
17,312
920
0.82 (0.75–0.90), p < 0.001
0.82 (0.75–0.90), p < 0.001
Q4 (≥ 12.11 to < 15.73)
13.69
17,332
899
0.79 (0.73–0.87), p < 0.001
0.76 (0.69–0.84), p < 0.001
Q5 (≥ 15.73)
19.09
17,290
965
0.84 (0.77–0.92), p < 0.001
0.72 (0.65–0.81), p < 0.001
p for trend < 0.001
p for trend < 0.001
Soluble fiber
Q1 (< 3.72)
2.97
17,395
1059
Reference
Reference
Q2 (≥ 3.72 to < 4.91)
4.32
17,304
930
0.85 (0.78–0.93), p < 0.001
0.87 (0.79–0.95), p = 0.002
Q3 (≥ 4.91 to < 6.15)
5.49
17,351
945
0.85 (0.78–0.93), p < 0.001
0.85 (0.77–0.93), p = 0.001
Q4 (≥ 6.15 to < 7.92)
6.91
17,266
914
0.81 (0.74–0.88), p < 0.001
0.78 (0.71–0.86), p < 0.001
Q5 (≥ 7.92)
9.62
17,326
994
0.88 (0.80–0.96), p = 0.003
0.78 (0.69–0.88), p < 0.001
p for trend = 0.011
p for trend < 0.001
*Adjusted for age (continuous), sex (male vs. female), race (non-Hispanic White vs. Other), body mass index (BMI, < 25.0 kg/m2 vs. ≥ 25.0 kg/m2), education (≤ high school vs. ≥ some college), smoking status (never vs. former ≤ 15 years since quit vs. former > 15 years since quit vs. former year since quit unknown vs. current smoker ≤ 1 pack per day vs. current smoker > 1 pack per day vs. current smoker intensity unknown), marital status (married vs. not married), alcohol drinking status (never vs. former vs. current), and total energy intake (continuous)
In Table 4, a lower risk of cancer mortality was observed for higher intake of dietary total fiber (Q5 vs Q1: HR 0.77, 95% CI 0.69–0.86; P for trend < 0.001). Similar patterns were observed for both insoluble fiber (Q5 vs Q1: HR 0.79, 95% CI 0.71–0.87; P for trend < 0.001) and soluble fiber (Q5 vs Q1: HR 0.79, 95% CI 0.71–0.88; P for trend < 0.001).
Table 4
Association between dietary fiber intake and cancer mortality
Variables
Median (g/day)
Cohort (n)
Cases (n)
Crude HR (95% CI), p-value
Adjusted HR* (95% CI), p-value
Total
Q1 (< 11.12)
8.83
17,360
1247
Reference
Reference
Q2 (≥ 11.12 to < 14.71)
12.95
17,330
1150
0.90 (0.83–0.97), p = 0.009
0.91 (0.84–0.99), p = 0.024
Q3 (≥ 14.71 to < 18.41)
16.48
17,322
1114
0.85 (0.79–0.93), p < 0.001
0.86 (0.79–0.94), p = 0.001
Q4 (≥ 18.41 to < 23.75)
20.74
17,304
1109
0.85 (0.78–0.92), p < 0.001
0.83 (0.76–0.91), p < 0.001
Q5 (≥ 23.75)
28.75
17,326
1140
0.86 (0.79–0.93), p < 0.001
0.77 (0.69–0.86), p < 0.001
p for trend < 0.001
p for trend < 0.001
Insoluble
Q1 (< 7.21)
5.7
17,366
1254
Reference
Reference
Q2 (≥ 7.21 to < 9.63)
8.44
17,342
1166
0.91 (0.84–0.98), p = 0.015
0.93 (0.86–1.01), p = 0.075
Q3 (≥ 9.63 to < 12.11)
10.8
17,312
1099
0.84 (0.77–0.91), p < 0.001
0.85 (0.78–0.93), p < 0.001
Q4 (≥ 12.11 to < 15.73)
13.69
17,332
1095
0.83 (0.76–0.90), p < 0.001
0.83 (0.75–0.91), p < 0.001
Q5 (≥ 15.73)
19.09
17,290
1146
0.86 (0.79–0.93), p < 0.001
0.79 (0.71–0.87), p < 0.001
p for trend < 0.001
p for trend < 0.001
Soluble fiber
Q1 (< 3.72)
2.97
17,395
1224
Reference
Reference
Q2 (≥ 3.72 to < 4.91)
4.32
17,304
1161
0.93 (0.86–1.01), p = 0.073
0.93 (0.86–1.01), p = 0.099
Q3 (≥ 4.91 to < 6.15)
5.49
17,351
1109
0.87 (0.80–0.95), p = 0.001
0.87 (0.79–0.95), p = 0.001
Q4 (≥ 6.15 to < 7.92)
6.91
17,266
1111
0.86 (0.80–0.94), p < 0.001
0.83 (0.76–0.91), p < 0.001
Q5 (≥ 7.92)
9.62
17,326
1155
0.90 (0.83–0.97), p = 0.009
0.79 (0.71–0.88), p < 0.001
p for trend = 0.008
p for trend < 0.001
*Adjusted for age (continuous), sex (male vs. female), race (non-Hispanic White vs. Other), body mass index (BMI, < 25.0 kg/m2 vs. ≥ 25.0 kg/m2), education (≤ high school vs. ≥ some college), smoking status (never vs. former ≤ 15 years since quit vs. former > 15 years since quit vs. former year since quit unknown vs. current smoker ≤ 1 pack per day vs. current smoker > 1 pack per day vs. current smoker intensity unknown), marital status (married vs. not married), alcohol drinking status (never vs. former vs. current), and total energy intake (continuous)
Additional analyses
Restricted cubic spline model analysis suggested that there was a nonlinear association of dietary fiber intake with deaths from all causes, cardiovascular disease and cancer (Fig. 1, all P for nonlinearity < 0.05). The results of subgroup analyses are presented in Fig. 2. Dietary total fiber intake was consistently associated with reduced risk of all-cause mortality in all subgroups, except for those who were never alcohol drinkers. In a sensitivity analysis, results remained qualitatively similar after excluding events ascertained within 2 or 5 years (data not shown).
Fig. 1
Dose–response using restricted cubic spline model for the association between total fiber intake and mortality from all causes (A), cardiovascular disease (B) and cancer (C). Solid line represents point estimates and dashed lines represent 95% confidence intervals. Multivariable risk estimate was calculated by restricted cubic spline regression (using 3 knots at 10th, 50th, and 90th percentiles) adjusting for age, sex, race, body mass index, education, smoking status, marital status, alcohol drinking status, and total energy intake. The histograms show the percentage of participants (left y axis) consuming each level of fiber
Fig. 2
Subgroup analyses by potential confounders including age (< 65 years vs. ≥ 65 years), sex (male vs. female), race (White, Non-Hispanic vs. Other), body mass index at the time of enrollment (< 25 kg/m2 vs. ≥ 25 kg/m2), education (≤ high school vs. ≥ some college), smoking status (never vs. former vs. current), and drinking status (never vs. former vs. current). The HRs (95% CIs) of per SD increment in the total fiber intake were calculated and showed. HRs hazard ratios; CIs confidence intervals; SD standard deviation
×
×
Anzeige
Discussion
In this large prospective cohort of US adults, a higher intake of dietary fiber was associated with reduced risk of mortality from all causes, cardiovascular disease and cancer. This was equally true for total dietary fiber, soluble fiber, and insoluble fiber. The results were qualitatively similar for men and women. Restricted cubic spline model analysis suggested that there was a nonlinear association between dietary fiber intake and mortality.
Our findings were consistent with previous meta-analyses of prospective studies that suggested that higher intakes of dietary fibers were associated with decreased risk of mortality from all causes, cardiovascular disease and cancer [16, 27‐29]. However, the body of evidence regarding soluble fiber and insoluble fiber remain limited and inconsistent so far [11]. For instance, although 25 eligible studies were included in Liu et al.’s meta-analysis, only three studies were available for subgroup analysis according to fiber types (i.e., soluble and insoluble fiber), and these studies had conflicting results with limited sample size [29]. The findings of our study enriched evidence on this topic and supported a potential benefit of both soluble and insoluble fiber in the prevention of death. Similarly, Arayici et al. [30] also found that both soluble and insoluble fiber consumption were protective against colorectal cancer, with a clinically significant reduction in colorectal cancer risk based on a large meta-analysis.
Several potential mechanisms could explain the beneficial effects of dietary fiber intake on health outcome, including stabilizing blood sugar, improving insulin responses, lowering levels of inflammatory biomarkers (e.g., C-reactive protein and interleukin-6), and reducing total and low density lipoprotein cholesterol [18, 31‐34]. In addition, the potential protective role of dietary fiber on prevention of chronic diseases could be mediated by the production of short-chain fatty acids (SCFAs), as a result of fermentation of undigestible fiber by gut microbiota [35, 36]. SCFAs may play a role on maintaining the metabolic health of the human host, as key regulators of anti-inflammatory effects [37‐39].
The average dietary fiber intake (16.5 g/d) in this cohort was still far below the recommended level worldwide as 30 g/d of total fiber intake. Likewise, García-Meseguer et al. [40] investigated the fiber patterns in youngsters from three different counties (US, Spain, and Tunisia) and found that the mean fiber intake was only 17.8 g/day. Similarly, Casagrande et al. [41] found that fiber intake significantly decreased over time and remained below the recommendation level among type 2 diabetes patients based on the data of NHANES 1988–2012. In Asian population, Nakaji et al. [42] reported a decline in total dietary fiber intake in Japan using data compiled in the Japanese National Nutrition Survey. Therefore, improving fiber intake is a promising target for public health, with appropriate actions needed to increase the intake of dietary fiber through a large variety of sources in the population. We hope our findings, as along with others, would help clinicians, policymakers, and others make informed decisions about the provision of health care interventions in order to raise the population’s awareness of the health benefit of fiber intake and promote the consumption of foods rich in fiber in public health practice [43].
Anzeige
The major strengths of this study included a large sample size, a prospective design, long-term follow-up, detailed information on diet and potential risk factors of death, and available data on both soluble and insoluble fiber intake. However, as with any study, there were some limitations in this study. First, dietary fiber intake might be a surrogate for a healthy lifestyle. Although we have adjusted for various lifestyle factors in the multivariable model, residual confounding cannot be fully ruled out. Second, participants analyzed in this study were mainly non-Hispanic Whites, which may limit the generalizability of our findings to other population. Third, the sources of dietary fiber (e.g., fruit, vegetables, legumes and cereals) were not available and thus we were unable to perform stratified analyses according to fiber sources. Fourth, previous studies have suggested that dietary fiber intake reduced the risk of pancreatic cancer, colon cancer, and rectal cancer [44‐46]. Unfortunately, we were unable to perform analyses according to the specific causes of cancer death or cardiovascular death as relevant data were not available. Fifth, we have compared the baseline characteristics of the included participants with those excluded in the Additional file 1: Table S1. The majority of those excluded were those had cardiovascular disease, diabetes or cancer at baseline. As expected, individuals excluded tended to be older, more often female and less often white, and were more likely to be obese and a smoker. Lastly, dietary fiber intake was assessed at baseline only and fiber intake pattern could have changed during the follow-up period.
In conclusion, in this large nationally representative sample of US adult population, intakes of total fiber, soluble fiber, and insoluble fiber were associated with lower risks of all-cause, cardiovascular and cancer mortality. Given the important role that diet plays in preventing chronic diseases and deaths, nutrition education programs should be implemented in order to promote a healthy diet in the general population.
Acknowledgements
The authors thank the National Cancer Institute for access to NCI’s data collected by the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. The statements contained herein are solely those of the authors and do not represent or imply concurrence or endorsement by NCI.
Declarations
Ethics approval and consent to participate
All participants provided written informed consent, and the study was approved by the Institutional Review Boards at the National Cancer Institute and each of the participating centers.
Anzeige
Consent for publication
Not applicable.
Competing interests
The authors have no competing interest.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Die Therapie von Echinokokkosen sollte immer in spezialisierten Zentren erfolgen. Eine symptomlose Echinokokkose kann – egal ob von Hunde- oder Fuchsbandwurm ausgelöst – konservativ erfolgen. Wenn eine Op. nötig ist, kann es sinnvoll sein, vorher Zysten zu leeren und zu desinfizieren.
Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.
Mit dem demographischen Wandel versorgt auch die Chirurgie immer mehr betagte Menschen. Von Entwicklungen wie Fast-Track können auch ältere Menschen profitieren und bei proximaler Humerusfraktur können selbst manche 100-Jährige noch sicher operiert werden.
Worauf kommt es beim Management von Personen mit infektiöser Endokarditis an? Eine Kardiologin und ein Kardiologe fassen die zehn wichtigsten Punkte der neuen ESC-Leitlinie zusammen.
Update Innere Medizin
Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.
