Relatively severe misreporting of sodium, potassium, and protein intake among female dietitians compared with nondietitians

Associations between dietary potassium intake and urinary potassium excretion: a protocol for systematic review and meta-analysis

BACKGROUND

While numerous studies have reported associations between low dietary potassium intake and adverse clinical outcomes, methods to estimate potassium intake, mainly self-reported dietary measures and urinary potassium excretion, entail certain limitations. Self-reported measures are subject to underreporting and overreporting. Urinary potassium excretion is affected by multiple factors including renal function. Revealing the degree of bias inherent in these measures would help accurately assess potassium intake and its association with disease risk. We aim to summarize evidence on the strength of the associations between potassium intake estimated from 24-h urinary potassium excretion and potassium intake estimated from self-reported dietary measures or objective quantification methods in populations with different kidney function levels and age groups. We also aim to identify factors that affect the association strength.

METHODS

We will search for potentially eligible studies that examined associations between self-reported potassium intake, 24-h urinary potassium excretion, and objectively quantified potassium intake, using MEDLINE (PubMed), Embase, Web of Science, and Scopus. Studies on children, adolescents, adults, and the elderly are eligible. Studies of patients on dialysis will be excluded. Collective study results, including a meta-analysis, will be synthesized if an adequate number of studies examining similar dietary potassium intake estimation methods are found. Analyses will be performed separately according to age groups and renal function. For the meta-analysis, fixed-effects or random-effect models will be employed depending on the degree of study heterogeneity to combine across studies the correlation coefficient, ratio, or standardized mean difference for potassium intake, comparing dietary potassium intake based on self-reported or objectively quantified methods and intake based on 24-h urinary potassium excretion. The degree of heterogeneity among included studies will be examined by calculating I2 statistics. To investigate sources of study heterogeneity, random-effects meta-regression analyses will be performed.

DISCUSSION

Revealing the strength of the association between dietary and urinary measures in populations with different levels of kidney function and age groups will enhance researchers' and clinicians' ability to interpret studies that utilize these measures and help establish a more solid evidence base for the role of potassium intake in changing chronic disease risk. Identifying factors that modify the associations between these measures may aid in developing predictive models to estimate actual potassium intake.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022357847.

Lack of compensation of energy intake explains the success of alternate day feeding to produce weight loss

BACKGROUND AND AIMS

This study was designed to obtain daily weighed food intake of participants engaged in Alternate Day Feeding (ADF). Prior ADF studies have used self-reported food intake, a method that has received criticism for its limited accuracy.

SUBJECTS AND METHODS

Forty-nine university students received academic credit for participating in the study. Following a 10-day baseline period, participants underwent ADF for the next 8 days. Restricted daily intake to ∼ 75% of baseline food intake levels was followed by ad libitum intake on alternate days. Food intake was weighed before and after each meal. Daily body weight was also tracked.

INTERVENTION

After the baseline period, participants underwent 8 days of ADF during which they consumed ∼ 75% of baseline energy intake by weight followed by ad libitum intake on alternate days. The trial concluded with 2 additional days of ad libitum feeding, for a total study duration of 10 days.

RESULTS

Daily food intake was constant during the baseline period (slope = -0.93 g/d, p = 0.56), and did not differ significantly (995 g (95% CI [752, 1198]) from the total consumed on ad libitum ADF days (951 g (95% CI [777, 1227]). Intake on ad libitum days did not show a trend to increase during the intervention. Body weight declined significantly during ADF.

CONCLUSIONS

ADF produces significant weight loss because food intake does not increase on ad libitum feeding days to compensate for reduced intake on restricted energy days. Data are consistent with prior work that suggests humans do not fully compensate for imposed deficits in energy intake.

Validity of a dish composition database for estimating protein, sodium and potassium intakes against 24 h urinary excretion: comparison with a standard food composition database

OBJECTIVE

We assessed the validity of a recently developed dish composition database (DCD) against urinary biomarkers compared with a standard food composition database (FCD).

DESIGN

Intakes of protein, Na and K were estimated by 2 × 24 h urine collections and by 4 d dietary record data based on the DCD (including 128 dishes) or FCD (including 1878 foods).

SETTING

Japan.

PARTICIPANTS

A total of 161 men and 163 women aged 20-69 years.

RESULTS

Compared with the 24 h urine-based estimates, the median intakes estimated using the DCD and FCD differed significantly for protein and Na in men and for Na and K in women. Deattenuated Spearman correlation coefficients using 24 h urine-based estimates for the intakes of protein, Na and K were lower in the DCD (respectively: 0·26, 0·15 and 0·44 in men; 0·22, 0·27 and 0·22 in women) than those in the FCD (respectively: 0·43, 0·40 and 0·59 in men; 0·33, 0·45 and 0·42 in women). When data on dish portion size reported by participants were used for estimation instead of standard portion-size data based on the DCD, the accuracy of the estimated median intakes did not change notably, whereas the deattenuated correlation coefficients improved (for protein, Na and K respectively: 0·32, 0·31 and 0·56 in men; 0·31, 0·41 and 0·39 in women).

CONCLUSIONS

The DCD supported by individual-level information on dish portion size showed fair to moderate validity in ranking individuals according to their intakes of protein, Na and K, similar to the FCD.

Using DNA Metabarcoding To Evaluate the Plant Component of Human Diets: a Proof of Concept

Current methods for capturing human dietary patterns typically rely on individual recall and as such are subject to the limitations of human memory. DNA sequencing-based approaches, frequently used for profiling nonhuman diets, do not suffer from the same limitations. Here, we used metabarcoding to broadly characterize the plant portion of human diets for the first time. The majority of sequences corresponded to known human foods, including all but one foodstuff included in an experimental plant-rich diet. Metabarcoding could distinguish between experimental diets and matched individual diet records from controlled settings with high accuracy. Because this method is independent of survey language and timing, it could also be applied to geographically and culturally disparate human populations, as well as in retrospective studies involving banked human stool.

Dietary intake is difficult to measure reliably in humans because approaches typically rely on self-reporting, which can be incomplete and biased. In field studies of animals, DNA sequencing-based approaches such as metabarcoding have been developed to characterize diets, but such approaches have not previously been widely applied to humans. Here, we present data derived from sequencing of a chloroplast DNA marker (the P6 loop of the trnL [UAA] intron) in stool samples collected from 11 individuals consuming both controlled and freely selected diets. The DNA metabarcoding strategy resulted in successful PCR amplification in about 50% of samples, which increased to a 70% success rate in samples from individuals eating a controlled plant-rich diet. Detection of plant taxa among sequenced samples yielded a recall of 0.86 and a precision of 0.55 compared to a written diet record during controlled feeding of plant-based foods. The majority of sequenced plant DNA matched common human food plants, including grains, vegetables, fruits, and herbs prepared both cooked and uncooked. Moreover, DNA metabarcoding data were sufficient to distinguish between baseline and treatment diet arms of the study. Still, the relatively high PCR failure rate and an inability to distinguish some dietary plants at the sequence level using the trnL-P6 marker suggest that future methodological refinements are necessary. Overall, our results suggest that DNA metabarcoding provides a promising new method for tracking human plant intake and that similar approaches could be used to characterize the animal and fungal components of our omnivorous diets.

IMPORTANCE Current methods for capturing human dietary patterns typically rely on individual recall and as such are subject to the limitations of human memory. DNA sequencing-based approaches, frequently used for profiling nonhuman diets, do not suffer from the same limitations. Here, we used metabarcoding to broadly characterize the plant portion of human diets for the first time. The majority of sequences corresponded to known human foods, including all but one foodstuff included in an experimental plant-rich diet. Metabarcoding could distinguish between experimental diets and matched individual diet records from controlled settings with high accuracy. Because this method is independent of survey language and timing, it could also be applied to geographically and culturally disparate human populations, as well as in retrospective studies involving banked human stool.

[Factors Related to Salt-Reduction Cognizance and Salt Intake in Women Aged 40-59 Years: Characteristics of Guardians of Medical University Students]

OBJECTIVES

In our previous study in which we aimed to clarify the factors related to salt intake in women aged 40-59 years, salt intake was found to be not related to salt-reduction cognizance. The aim of this research was to clarify factors related to salt intake in those who were cognizant of the importance of reducing their salt intake.

METHODS

Two hundred and forty-seven female guardians (effective rate, 32.2%) in a medical university, aged 40-59 years old, participated in this study. The participants were divided into three groups according to their salt-reduction cognizance.

RESULTS

There was no significant difference in salt intake between the three groups who were salt-reduction cognizant. Intakes of potassium (mg/1,000 kcal), vegetables, and fruits were higher in those who were cognizant of the importance of reducing their salt intake. The frequencies of consuming stewed foods, miso soup, and vinegared and marinated dishes were also higher. Those who were salt-reduction cognizant were knowledgeable about salt consumption, had experienced making low-salt dishes, used low-sodium seasoning, and made light-tasting dishes by regulating ingredients when cooking. However, when it came to eating, there was no difference in the percentage of those who left most of the broth when eating noodle soups and the frequency with which they added seasoning in terms of salt-reduction cognizance.

CONCLUSION

Salt-reduction cognizant women aged 40-59 years made conscious efforts to use less salt at the time of cooking, but made no efforts when eating, even though they were cognizant of the importance of reducing their salt intake.

Protein Intake Estimated from Brief-Type Self-Administered Diet History Questionnaire and Urinary Urea Nitrogen Level in Adolescents

Our aim was to assess the validity of the brief-type self-administered diet history questionnaire (BDHQ15y) to estimate the protein intake in 248 Japanese secondary school students (mean age = 14.2 years), using urinary biomarkers as references. Participants provided three samples of overnight urine for measurement of urea nitrogen and creatinine levels, underwent anthropometric measurements, and answered the questionnaires. Additionally, 58 students provided 24-h urine specimens. A significant correlation was observed between excretion of urea nitrogen in overnight and 24-h urine specimens (ρ = 0.527; p < 0.001), with biases ≤5.8%. The mean daily protein intake estimated from urinary biomarkers was 76.4 ± 20.4 g/d in males and 65.4 ± 16.9 g/d in females, and the mean protein intake estimated from the BDHQ15y (PRTbdhq) was 89.3 ± 33.7 g/d in males and 79.6 ± 24.6 g/d in females. Crude and energy-adjusted coefficients of correlation between PRTbdhq and protein intake estimated from urinary biomarkers were 0.205 (p = 0.001; 0.247 for males and 0.124 for females), and 0.204 (p = 0.001; 0.302 for males and 0.109 for females), respectively. The BDHQ15y is a low-cost tool to assess protein intake of a large population, instead of a weakness of overestimation.

The Failure to Measure Dietary Intake Engendered a Fictional Discourse on Diet-Disease Relations

Controversies regarding the putative health effects of dietary sugar, salt, fat, and cholesterol are not driven by legitimate differences in scientific inference from valid evidence, but by a fictional discourse on diet-disease relations driven by decades of deeply flawed and demonstrably misleading epidemiologic research. Over the past 60 years, epidemiologists published tens of thousands of reports asserting that dietary intake was a major contributing factor to chronic non-communicable diseases despite the fact that epidemiologic methods do not measure dietary intake. In lieu of measuring actual dietary intake, epidemiologists collected millions of unverified verbal and textual reports of memories of perceptions of dietary intake. Given that actual dietary intake and reported memories of perceptions of intake are not in the same ontological category, epidemiologists committed the logical fallacy of "Misplaced Concreteness." This error was exacerbated when the anecdotal (self-reported) data were impermissibly transformed (i.e., pseudo-quantified) into proxy-estimates of nutrient and caloric consumption via the assignment of "reference" values from databases of questionable validity and comprehensiveness. These errors were further compounded when statistical analyses of diet-disease relations were performed using the pseudo-quantified anecdotal data. These fatal measurement, analytic, and inferential flaws were obscured when epidemiologists failed to cite decades of research demonstrating that the proxy-estimates they created were often physiologically implausible (i.e., meaningless) and had no verifiable quantitative relation to the actual nutrient or caloric consumption of participants. In this critical analysis, we present substantial evidence to support our contention that current controversies and public confusion regarding diet-disease relations were generated by tens of thousands of deeply flawed, demonstrably misleading, and pseudoscientific epidemiologic reports. We challenge the field of nutrition to regain lost credibility by acknowledging the empirical and theoretical refutations of their memory-based methods and ensure that rigorous (objective) scientific methods are used to study the role of diet in chronic disease.

Controversy and debate: Memory-Based Methods Paper 1: the fatal flaws of food frequency questionnaires and other memory-based dietary assessment methods

There is an escalating debate over the value and validity of self-reported dietary intake as estimated by Food Frequency Questionnaires and other forms of memory-based dietary assessment methods. Proponents argue that despite limitations, memory-based methods provide valid and valuable information about consumed foods and beverages and therefore can be used to assess diet-disease relations. In fact, over the past 60 years, thousands of memory-based dietary research reports were used to inform public policy and establish the Dietary Guidelines for Americans. Yet, despite this impressive history, our position is that memory-based dietary assessment methods are invalid and inadmissible for scientific research and therefore cannot be used in evidence-based policy making. Herein, we present the empirical evidence and theoretic and philosophic perspectives that render data derived from memory-based methods both fatally flawed and pseudoscientific. First, the use of memory-based methods is founded upon two inter-related logical fallacies: a category error and reification. Second, human memory and recall are not valid instruments for scientific data collection. Third, in standard epidemiologic contexts, the measurement errors associated with self-reported data are nonfalsifiable because there is no way to ascertain if the reported foods and beverages match the respondent's actual consumption. Fourth, the assignment of nutrient and energy values to self-reported intake (i.e., the pseudoquantification of anecdotal data) is impermissible and violates the foundational tenets of measurement theory. Fifth, the proxy estimates created via pseudoquantification are often physiologically implausible and have little relation to actual nutrient and energy consumption. Finally, investigators engendered a fictional discourse on the health effects of dietary sugar, salt, fat and cholesterol when they failed to cite contrary evidence or address decades of research demonstrating the fatal measurement, analytic, and inferential flaws of memory-based dietary assessment methods.

Dietary underreporting in women affected by polycystic ovary syndrome: A pilot study

AIM

The first-line therapy for polycystic ovary syndrome (PCOS) is weight loss focussing on diet and regular exercise; measurement of diet and energy intake (EI) is important to determine associations between nutrients and health in women with PCOS. The EI underreporting (UR) is a condition characterised by reports of habitual EI that is implausibly low, compared with estimated requirements. This case-control study aims to evaluate UR in women with PCOS.

METHODS

Thirty-six women with PCOS were enrolled according to the Rotterdam criteria; 37 healthy women were enrolled as controls.

INCLUSION CRITERIA

age range 18-45 and body mass index ≥18.5 kg/m² in subjects without eating disorders and/or diabetes mellitus. Nutritional assessment included: anthropometry, basal metabolic rate (BMR), weight history and physical activity assessment. Subjects completed a non-consecutive three-day dietary diary to identify energy and macronutrient intake. UR was calculated (Goldberg Index: EI/BMR).

RESULTS

Although women with PCOS reported a significantly higher mean BMR than controls (P < 0.0001), their EI was lower (P < 0.001), suggesting an UR in 47.2% of women with PCOS versus 2.7% of controls (P < 0.0001). The EI from simple sugars was lower in women with PCOS than controls (P < 0.01). The protein intake was increased in controls than women with PCOS (P < 0.0001). Weight cycling was more frequent in women with PCOS (P < 0.001). Logistic regression analysis identified UR associated with PCOS (P = 0.001).

CONCLUSIONS

Women with PCOS underreport foods rich in simple sugars rather than underreport their total dietary intake. These results may have implications for the interpretation of diet and health correlations in this patient population.