scholarly journals Comparison of phytosterol intake from FFQ with repeated 24-h dietary recalls of the Adventist Health Study-2 calibration sub-study

2019 ◽  
Vol 121 (12) ◽  
pp. 1424-1430 ◽  
Author(s):  
Rawiwan Sirirat ◽  
Celine Heskey ◽  
Ella Haddad ◽  
Yessenia Tantamango-Bartley ◽  
Gary Fraser ◽  
...  
Keyword(s):  
Method Validation ◽  
Correlation Coefficients ◽  
Health Study ◽  
Strong Correlations ◽  
Future Studies ◽  
Disease Outcomes ◽  
Cross Classification ◽  
Using Data ◽  
Flame Ionisation ◽  
Adventist Health Study

AbstractWe evaluated the performance of an FFQ in estimating phytosterol intake against multiple 24-h dietary recalls (24HDR) using data from 1011 participants of the calibration sub-study of the Adventist Health Study-2 (AHS-2) cohort. Dietary assessments of phytosterol intake included a self-administered FFQ and six 24HDR and plasma sterols. Plasma sterols were determined using the GLC flame ionisation method. Validation of energy-adjusted phytosterol intake from the FFQ with 24HDR was conducted by calculating crude, unadjusted, partial and de-attenuated correlation coefficients (r) and cross-classification by race. On average, total phytosterol intake from the FFQ was 439·6 mg/d in blacks and 417·9 mg/d in whites. From the 24HDR, these were 295·6 mg/d in blacks and 351·4 mg/d in whites. Intake estimates of β-sitosterol, stigmasterol, other plant sterols and total phytosterols from the FFQ had moderate to strong correlations with estimates from 24HDR (r 0·41–0·73). Correlations were slightly higher in whites (r 0·42–0·73) than in blacks (r 0·41–0·67). FFQ estimates were poorly correlated with plasma sterols as well as 24HDR v. plasma sterols. We conclude that the AHS-2 FFQ provided reasonable estimates of phytosterol intake and may be used in future studies relating phytosterol intake and disease outcomes.

scholarly journals Race-specific validation of food intake obtained from a comprehensive FFQ: the Adventist Health Study-2

2011 ◽  
Vol 14 (11) ◽  
pp. 1988-1997 ◽  
Author(s):  
Karen Jaceldo-Siegl ◽  
Jing Fan ◽  
Joan Sabaté ◽  
Synnove F Knutsen ◽  
Ella Haddad ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Food Group ◽  
Seventh Day Adventist ◽  
Health Study ◽  
Food Groups ◽  
The Usa ◽  
Calibration Study ◽  
Cross Classification ◽  
Study Participants ◽  
Adventist Health Study

AbstractObjectiveTo assess race-specific validity of food and food group intakes measured using an FFQ.DesignCalibration study participants were randomly selected from the Adventist Health Study-2 (AHS-2) cohort by church, and then by subject-within-church. Intakes of forty-seven foods and food groups were assessed using an FFQ and then compared with intake estimates measured using six 24 h dietary recalls (24HDR). We used two approaches to assess the validity of the questionnaire: (i) cross-classification by quartile and (ii) de-attenuated correlation coefficients.SettingSeventh-day Adventist church members geographically spread throughout the USA and Canada.SubjectsMembers of the AHS-2 calibration study (550 whites and 461 blacks).ResultsThe proportion of participants with exact quartile agreement in the FFQ and 24HDR averaged 46 % (range: 29–87 %) in whites and 44 % (range: 25–88 %) in blacks. The proportion of quartile gross misclassification ranged from 1 % to 11 % in whites and from 1 % to 15 % in blacks. De-attenuated validity correlations averaged 0·59 in whites and 0·48 in blacks. Of the forty-seven foods and food groups, forty-three in whites and thirty-three in blacks had validity correlations >0·4.ConclusionsThe AHS-2 questionnaire has good validity for most foods in both races; however, validity correlations tend to be higher in whites than in blacks.

scholarly journals Short- and long-term reliability of adult recall of vegetarian dietary patterns in the Adventist Health Study-2 (AHS-2)

2015 ◽  
Vol 4 ◽  
Author(s):  
Marcia C. Teixeira Martins ◽  
Karen Jaceldo-Siegl ◽  
Jing Fan ◽  
Pramil Singh ◽  
Gary E. Fraser
Keyword(s):  
Dietary Patterns ◽  
Correlation Coefficients ◽  
Health Study ◽  
Animal Products ◽  
Predictive Values ◽  
Long Latency ◽  
Overlap Population ◽  
Short And Long Term ◽  
Adventist Health Study

AbstractPast dietary patterns may be more important than recent dietary patterns in the aetiology of chronic diseases because of the long latency in their development. We developed an instrument to recall vegetarian dietary patterns during the lifetime and examined its reliability of recall over 5·3 and 32·6 years on average. The short-term/5-year recall ability study (5-RAS) was done using 24 690 participants from the cohort of the Adventist Health Study-2 (mean age 62·2 years). The long-term/33-year recall ability study (33-RAS) included an overlap population of 1721 individuals who joined the Adventist Health Study-1 and Adventist Health Study-2 (mean age 72·5 years). Spearman correlation coefficients for recall of vegetarian status were 0·78 and 0·72 for the 5-RAS and 33-RAS, respectively, when compared with ‘reference’ data. For both time periods sensitivity and positive predictive values were highest for the lacto-ovo-vegetarian and non-vegetarian patterns (vegans, lacto-ovo-vegetarians, pesco-vegetarians, semi-vegetarians and non-vegetarians). In the 5-RAS analyses, male, non-black, younger, and more educated participants, lifetime Adventists, and those with more stability of consumption of animal products generally showed higher recall ability. Somewhat similar tendencies were shown for the 33-RAS analyses. Our findings show that the instrument has higher reliability for recalled lacto-ovo-vegetarian and non-vegetarian than for vegan, semi- and pesco-vegetarian dietary patterns in both short- and long-term recalls. This is in part because these last dietary patterns were greatly contaminated by recalls that correctly would have belonged in the adjoining category that consumed more animal products.

scholarly journals Validity of FFQ Estimates of Total Sugars, Added Sugars, Sucrose and Fructose Compared to Repeated 24-h Recalls in Adventist Health Study-2 Participants

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 4152
Author(s):  
Mericarmen Peralta ◽  
Celine Heskey ◽  
David Shavlik ◽  
Synnove Knutsen ◽  
Andrew Mashchak ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Health Study ◽  
Total Sugars ◽  
Added Sugars ◽  
Sugar Intake ◽  
Fructose Intake ◽  
Consumption Data ◽  
Food Consumption Data ◽  
Dietary Sugar ◽  
Adventist Health Study

Sugar intake is a potentially important aspect of diet which has not previously been validated in the Adventist Health Study-2 (AHS-2). We sought to validate the food frequency questionnaire (FFQ) measurement of total sugars, added sugars, sucrose, and fructose against multiple 24-h dietary recalls (recalls) in AHS-2 participants. Food consumption data from a self-administered FFQ and six recalls from 904 participants were combined with nutrient profile data to estimate daily sugar intake. Validity was evaluated among all participants and by race. FFQ and recall means were compared and correlation coefficients (Spearman’s, energy-adjusted log-transformed Pearson’s, deattenuated Pearson’s) were calculated. Mean total energy, total sugars, and fructose intake were higher in the FFQ, whereas added sugars and sucrose were higher in recalls. The energy-adjusted (log-transformed) deattenuated correlations among all participants were: total sugars (r = 0.42, 95% CI 0.32–0.52), added sugars (r = 0.50, 95% CI 0.36–0.59), sucrose (r = 0.32, 95% CI 0.23–0.42), and fructose (r = 0.50, 95% CI 0.40–0.59). We observed moderate validity for added sugars and fructose and low-moderate validity for total sugars and sucrose measured by the AHS-2 FFQ in this population. Dietary sugar estimates from this FFQ may be useful in assessing possible associations of sugars intake with health outcomes.

scholarly journals Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 601 ◽  
Author(s):  
Marco Germanotta ◽  
Ilaria Mileti ◽  
Ilaria Conforti ◽  
Zaccaria Del Prete ◽  
Irene Aprile ◽  
...  
Keyword(s):  
Inertial Sensors ◽  
Center Of Mass ◽  
Correlation Coefficients ◽  
Biomechanical Model ◽  
Lower Limbs ◽  
Accuracy Evaluation ◽  
Postural Tasks ◽  
Single Sensor ◽  
Using Data ◽  
Displacement Based

The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors’ network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.

scholarly journals Integration of various scales for measurement of insomnia

2021 ◽  
pp. 263208432110100
Author(s):  
Satyendra Nath Chakrabartty
Keyword(s):  
Test Scores ◽  
Data Driven ◽  
Weighted Sum ◽  
Future Studies ◽  
Normal Probability ◽  
Equivalent Test ◽  
Item Scores ◽  
Using Data ◽  
Set Up ◽  
Different Levels

Background Scales for evaluating insomnia differ in number of items, response format, and result in different scores distributions and score ranges and may not facilitate meaningful comparisons. Objectives Transform ordinal item-scores of three scales of insomnia to continuous, equidistant, monotonic, normally distributed scores, avoiding limitations of summative scoring of Likert scales. Methods Equidistant item-scores by weighted sum using data-driven weights to different levels of different items, considering cell frequencies of Item-Levels matrix, followed by normalization and conversion to [1, 10]. Equivalent test-scores (as sum of transformed item- scores) for a pair of scales were found by Normal Probability curves. Empirical illustration given. Results Transformed test-scores are continuous, monotonic and followed Normal distribution with no outliers and tied scores. Such test-scores facilitate ranking, better classification and meaningful comparison of scales of different lengths and formats and finding equivalent score combinations of two scales. For a given value of transformed test-score of a scale, easy alternate method avoiding integration proposed to find equivalent scores of another scales. Equivalent scores of scales help to relate various cut-off scores of different scales and uniformity in interpretations. Integration of various scales of insomnia is achieved by finding one-to-one correspondence among the equivalent score of various scales with correlation over 0.99 Conclusion Resultant test-scores facilitated undertaking analysis in parametric set up. Considering the theoretical advantages including meaningfulness of operations, better comparison, use of such method of transforming scores of Likert items/test is recommended test and items, Future studies were suggested.

scholarly journals Deep learning for cephalometric landmark detection: systematic review and meta-analysis

2021 ◽  
Author(s):  
Falk Schwendicke ◽  
Akhilanand Chaurasia ◽  
Lubaina Arsiwala ◽  
Jae-Hong Lee ◽  
Karim Elhennawy ◽  
...  
Keyword(s):  
Systematic Review ◽  
Deep Learning ◽  
Meta Analysis ◽  
High Accuracy ◽  
Risk Of Bias ◽  
Automated Detection ◽  
Reference Test ◽  
Landmark Detection ◽  
Future Studies ◽  
Using Data

Abstract Objectives Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic review and meta-analysis to assess the accuracy and underlying evidence for DL for cephalometric landmark detection on 2-D and 3-D radiographs. Methods Diagnostic accuracy studies published in 2015-2020 in Medline/Embase/IEEE/arXiv and employing DL for cephalometric landmark detection were identified and extracted by two independent reviewers. Random-effects meta-analysis, subgroup, and meta-regression were performed, and study quality was assessed using QUADAS-2. The review was registered (PROSPERO no. 227498). Data From 321 identified records, 19 studies (published 2017–2020), all employing convolutional neural networks, mainly on 2-D lateral radiographs (n=15), using data from publicly available datasets (n=12) and testing the detection of a mean of 30 (SD: 25; range.: 7–93) landmarks, were included. The reference test was established by two experts (n=11), 1 expert (n=4), 3 experts (n=3), and a set of annotators (n=1). Risk of bias was high, and applicability concerns were detected for most studies, mainly regarding the data selection and reference test conduct. Landmark prediction error centered around a 2-mm error threshold (mean; 95% confidence interval: (–0.581; 95 CI: –1.264 to 0.102 mm)). The proportion of landmarks detected within this 2-mm threshold was 0.799 (0.770 to 0.824). Conclusions DL shows relatively high accuracy for detecting landmarks on cephalometric imagery. The overall body of evidence is consistent but suffers from high risk of bias. Demonstrating robustness and generalizability of DL for landmark detection is needed. Clinical significance Existing DL models show consistent and largely high accuracy for automated detection of cephalometric landmarks. The majority of studies so far focused on 2-D imagery; data on 3-D imagery are sparse, but promising. Future studies should focus on demonstrating generalizability, robustness, and clinical usefulness of DL for this objective.

scholarly journals The association between soya consumption and serum thyroid-stimulating hormone concentrations in the Adventist Health Study-2

2015 ◽  
Vol 19 (8) ◽  
pp. 1464-1470 ◽  
Author(s):  
Serena Tonstad ◽  
Karen Jaceldo-Siegl ◽  
Mark Messina ◽  
Ella Haddad ◽  
Gary E Fraser
Keyword(s):  
Urinary Iodine ◽  
Thyroid Stimulating Hormone ◽  
Soya Protein ◽  
High Serum ◽  
Health Study ◽  
Animal Products ◽  
White Ethnicity ◽  
High Consumption ◽  
Stimulating Hormone ◽  
Adventist Health Study

AbstractObjectiveConsumers may choose soya foods as healthful alternatives to animal products, but concern has arisen that eating large amounts of soya may adversely affect thyroid function. The present study aimed to examine the association between soya food consumption and serum thyroid-stimulating hormone (TSH) concentrations in North American churchgoers belonging to the Seventh-day Adventist denomination that encourages vegetarianism.DesignParticipants completed six repeated 24 h dietary recalls within a 6-month period. Soya protein and soya isoflavone intakes were estimated, and their relationships to TSH concentrations measured at the end of 6 months were calculated using logistic regression analyses.SettingCalibration sub-study of the Adventist Health Study-2.SubjectsWomen (n 548) and men (n 295) who were not taking thyroid medications.ResultsIn men, age and urinary iodine concentrations were associated with high serum TSH concentrations (>5 mIU/l), while among women White ethnicity was associated with high TSH. In multivariate models adjusted for age, ethnicity and urinary iodine, soya isoflavone and protein intakes were not associated with high TSH in men. In women higher soya isoflavone consumption was associated with higher TSH, with an adjusted odds ratio (highest v. lowest quintile) of 4·17 (95 % CI 1·73, 10·06). Likewise, women with high consumption of soya protein (midpoint of highest quintile, 11 g/d) v. low consumption (midpoint of lowest quintile, 0 g/d) carried increased odds of high TSH (OR=2·69; 95 % CI 1·34, 5·30).ConclusionsIn women high consumption of soya was associated with elevated TSH concentrations. No associations between soya intake and TSH were found in men.

Abstract TP197: Risk of Stroke in Women with use of Testosterone-Containing Hormone Replacement Therapy

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Haseeb A Rahman ◽  
Ahmed Malik ◽  
Aesha Rahman ◽  
Saqib Chaudhry ◽  
Malik M Adil ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Hormone Replacement Therapy ◽  
Replacement Therapy ◽  
Stroke Risk ◽  
Hormone Replacement ◽  
Future Studies ◽  
Baseline Visit ◽  
Using Data

Background: There has been debate in the role of exogenous testosterone as a risk factor for stroke. Hormone replacement therapy (HRT) is considered a risk factor for stroke. The risk of ischemic stroke may increase when using testosterone-containing HRT. Methods: Using data from the observational component of the Women’s Health Initiative (WHI) [WHI Observational Study (OS)], we analyzed the 93,676 women aged 50-79 years, who participated in the OS over a period of 12±1 years. We compared the outcome of stroke in participants with reported use of a combination of testosterone and estrogen, estrogen alone, progesterone alone, and a combination of estrogen and progesterone, as recorded at the baseline visit. A logistic regression analysis was run to determine the odds of developing stroke. Results: Of the 93, 676 participants, 1772 used a combination of testosterone and estrogen (Estratest) HRT, 11,282 used progesterone alone, 10,808 used a combination of estrogen and progesterone, and 31,673 used estrogen alone. A smaller proportion of participants who developed an outcome of stroke had used Estratest as compared to estrogen alone or a combination of estrogen and progesterone (1.9% vs. 96.3% p=0.62). In the logistic regression, participants who had used Estratest were 1.2 times as likely to develop stroke as users of other hormone replacement therapy (OR 1.2 95%CI (0.96-1.6)), while women who had used progesterone only were 0.87 times less likely to develop stroke than users of other hormone replacement therapy (OR 0.874 95%CI (0.77-0.99)). After adjusting for confounders, the risk of developing stroke increased in users of Estratest (OR 1.25 95%CI (0.96-1.6) p=0.04), and decreased in users of progesterone only (OR 0.873 95%CI (0.77-0.99) p=0.038). Conclusion: Use of testosterone-containing HRT slightly increased the risk of stroke in women when compared to progesterone alone HRT, although this was not found to be significant. Stroke risk with Estratest may be considered to be similar to estrogen only and combination of estrogen plus progesterone HRT. Future studies are required to investigate these correlations.

scholarly journals Portable Force Plates: A Viable and Practical Alternative to Rapidly and Accurately Monitor Elite Sprint Performance

Sports ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 61 ◽  
Author(s):  
Irineu Loturco ◽  
Lucas Pereira ◽  
Ronaldo Kobal ◽  
Cesar Cal Abad ◽  
Victor Fernandes ◽  
...  
Keyword(s):  
Vertical Jump ◽  
Force Plate ◽  
Correlation Coefficients ◽  
Accurate Information ◽  
Strong Correlations ◽  
Regression Analyses ◽  
Actual Performance ◽  
Moment Coefficient ◽  
Competitive Athletes ◽  
Vertical Jumps

This study aimed to examine the associations between a series of mechanical variables automatically generated by a portable force plate (PFP) and the actual performance of professional sprinters over a 150 m course. To test these correlations, 12 top-level sprinters performed vertical jumps (squat and countermovement jumps; SJ and CMJ, respectively), a 60 m sprint test, and a 150 m sprint test. Pearson product-moment coefficient of correlation and multiple regression analyses were used to determine the relationships between the sprinting velocities and vertical jump outputs. The SJ parameters were moderately to near perfectly associated with the different sprint distances, and the SJ height presented the highest correlation scores (r = 0.90 with velocities over 10- and 20-m). The correlation coefficients between the CMJ outcomes and sprint results varied between moderate and very large (from 0.38 to 0.88). Finally, the coefficients of determination (R2) ranged from 0.71 to 0.85 for the different multiple regressions involving PFP automatic measures. The PFP can provide practitioners with quick and accurate information regarding competitive athletes. Due to the strong correlations observed, coaches are encouraged to frequently adjust and tailor the training strategies of their sprinters, using practical and timesaving PFP measurements.

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