scholarly journals Does Incorporating Gender Differences into Quantifying a Food Frequency Questionnaire Influence the Association of Total Energy Intake with All-Cause and Cause-Specific Mortality?

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2914
Author(s):  
Minji Kang ◽  
Song-Yi Park ◽  
Carol J. Boushey ◽  
Lynne R. Wilkens ◽  
Loïc Le Marchand ◽  
...  
Keyword(s):  
Gender Differences ◽  
Total Energy ◽  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Cancer Mortality ◽  
Total Energy Intake ◽  
Food Frequency ◽  
Men And Women ◽  
Increased Risk ◽  
Portion Sizes

This study aims to evaluate whether incorporating gender differences in portion sizes as part of quantifying a food frequency questionnaire influences the association of total energy intake with mortality. The analysis included 156,434 participants (70,142 men and 86,292 women) in the Multiethnic Cohort Study, aged 45–75 years at baseline. A total of 49,728 deaths were identified during an average follow-up of 18.1 years. Total energy intake and percentage energy from macronutrients were calculated using original portion sizes (PSs) and gender specific (GS)-PS and were divided into quintiles for men and women. The associations of total energy intake and percentage energy from macronutrients with all-cause, cardiovascular disease (CVD), and cancer mortality were examined using Cox regression with adjustment for potential confounders. Mean ± standard deviation daily total energy intake using original-PS was 2449 ± 1135 kcal for men and 1979 ± 962 kcal for women; using GS-PS was 1996 ± 884 kcal for men and 1595 ± 731 kcal for women. For men, the hazard ratios (HRs) (95% confidence intervals) for all-cause, CVD, and cancer comparing the highest to the lowest quintile of total energy intake were 1.05 (1.00–1.10), 1.07 (0.99–1.16), 1.03 (0.95–1.13) using original-PS and 1.07 (1.02–1.12), 1.11 (1.03–1.20), 1.02 (0.94–1.12) using GS-PS, respectively. For women, the corresponding HRs were 1.03 (0.98–1.09), 0.99 (0.91–1.08), 1.10 (1.00–1.21) using original-PS and 1.06 (1.01–1.12), 1.02 (0.94–1.12), 1.07 (0.97–1.18) using GS-PS. Both versions of percentage energy from total fat were associated with an increased risk of all-cause, CVD, and cancer mortality; on the other hand, both versions of percentage energy from carbohydrate showed inverse associations with all-cause, CVD, and cancer mortality in both men and women. When using original-PS and GS-PS, the estimated total energy intake differed, resulting in marginal differences in the associations of total energy intake with all-cause, CVD, and cancer mortality.

scholarly journals Reproducibility of the Online Food4Me Food-Frequency Questionnaire for Estimating Dietary Intakes across Europe

2016 ◽  
Vol 146 (5) ◽  
pp. 1068-1075 ◽  
Author(s):  
◽  
Steven J Marshall ◽  
Katherine M Livingstone ◽  
Carlos Celis-Morales ◽  
Hannah Forster ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Controlled Trial ◽  
Age Groups ◽  
Correlation Coefficients ◽  
Normal Weight ◽  
Total Energy Intake ◽  
Dietary Intakes ◽  
Food Frequency

Abstract Background: Accurate dietary assessment is key to understanding nutrition-related outcomes and is essential for estimating dietary change in nutrition-based interventions. Objective: The objective of this study was to assess the pan-European reproducibility of the Food4Me food-frequency questionnaire (FFQ) in assessing the habitual diet of adults. Methods: Participants from the Food4Me study, a 6-mo, Internet-based, randomized controlled trial of personalized nutrition conducted in the United Kingdom, Ireland, Spain, Netherlands, Germany, Greece, and Poland, were included. Screening and baseline data (both collected before commencement of the intervention) were used in the present analyses, and participants were included only if they completed FFQs at screening and at baseline within a 1-mo timeframe before the commencement of the intervention. Sociodemographic (e.g., sex and country) and lifestyle [e.g., body mass index (BMI, in kg/m2) and physical activity] characteristics were collected. Linear regression, correlation coefficients, concordance (percentage) in quartile classification, and Bland-Altman plots for daily intakes were used to assess reproducibility. Results: In total, 567 participants (59% female), with a mean ± SD age of 38.7 ± 13.4 y and BMI of 25.4 ± 4.8, completed both FFQs within 1 mo (mean ± SD: 19.2 ± 6.2 d). Exact plus adjacent classification of total energy intake in participants was highest in Ireland (94%) and lowest in Poland (81%). Spearman correlation coefficients (ρ) in total energy intake between FFQs ranged from 0.50 for obese participants to 0.68 and 0.60 in normal-weight and overweight participants, respectively. Bland-Altman plots showed a mean difference between FFQs of 210 kcal/d, with the agreement deteriorating as energy intakes increased. There was little variation in reproducibility of total energy intakes between sex and age groups. Conclusions: The online Food4Me FFQ was shown to be reproducible across 7 European countries when administered within a 1-mo period to a large number of participants. The results support the utility of the online Food4Me FFQ as a reproducible tool across multiple European populations. This trial was registered at clinicaltrials.gov as NCT01530139.

scholarly journals Does high-carbohydrate intake lead to increased risk of obesity? A systematic review and meta-analysis

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e018449 ◽  
Author(s):  
Kurt Sartorius ◽  
Benn Sartorius ◽  
Thandinkosi E Madiba ◽  
Cristina Stefan
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Meta Analysis ◽  
Total Energy Intake ◽  
Carbohydrate Intake ◽  
Activity Levels ◽  
Total Carbohydrate ◽  
High Carbohydrate ◽  
Increased Risk ◽  
Low Carbohydrate

ObjectivesThe present study aimed to test the association between high and low carbohydrate diets and obesity, and second, to test the link between total carbohydrate intake (as a percentage of total energy intake) and obesity.Setting, participants and outcome measuresWe sought MEDLINE, PubMed and Google Scholar for observation studies published between January 1990 and December 2016 assessing an association between obesity and high-carbohydrate intake. Two independent reviewers selected candidate studies, extracted data and assessed study quality.ResultsThe study identified 22 articles that fulfilled the inclusion and exclusion criteria and quantified an association between carbohydrate intake and obesity. The first pooled strata (high-carbohydrate versus low-carbohydrate intake) suggested a weak increased risk of obesity. The second pooled strata (increasing percentage of total carbohydrate intake in daily diet) showed a weak decreased risk of obesity. Both these pooled strata estimates were, however, not statistically significant.ConclusionsOn the basis of the current study, it cannot be concluded that a high-carbohydrate diet or increased percentage of total energy intake in the form of carbohydrates increases the odds of obesity. A central limitation of the study was the non-standard classification of dietary intake across the studies, as well as confounders like total energy intake, activity levels, age and gender. Further studies are needed that specifically classify refined versus unrefined carbohydrate intake, as well as studies that investigate the relationship between high fat, high unrefined carbohydrate–sugar diets.PROSPERO registration numberCRD42015023257.

Increased risk of obesity related to total energy intake with the APOA5-1131T > C polymorphism in Korean premenopausal women

2014 ◽  
Vol 34 (10) ◽  
pp. 827-836 ◽  
Author(s):  
Hyo Hee Lim ◽  
Miok Choi ◽  
Ji Young Kim ◽  
Jong Ho Lee ◽  
Oh Yoen Kim
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Premenopausal Women ◽  
Total Energy Intake ◽  
Increased Risk

Misreporting of Total Energy Intake in Older Men and Women

1999 ◽  
Vol 47 (6) ◽  
pp. 710-715 ◽  
Author(s):  
Naomi J. Tomoyasu ◽  
Michael J. Toth ◽  
Eric T. Poehlman
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Older Men ◽  
Total Energy Intake ◽  
Men And Women ◽  
Older Men And Women

The trends in total energy, macronutrients and sodium intake among Japanese: findings from the 1995–2016 National Health and Nutrition Survey

2018 ◽  
Vol 120 (4) ◽  
pp. 424-434 ◽  
Author(s):  
Aki Saito ◽  
Shino Imai ◽  
Nay Chi Htun ◽  
Emiko Okada ◽  
Katsushi Yoshita ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Total Energy ◽  
Energy Intake ◽  
National Health ◽  
Age Distribution ◽  
Total Energy Intake ◽  
Local Health ◽  
Nutrition Survey ◽  
Men And Women ◽  
Dietary Record

AbstractMonitoring nutritional status of the population is essential in the development and evaluation of national or local health policies. In this study, we aimed to demonstrate analysis on the trends in dietary intake of energy and macronutrients, as well as Na, in Japanese population using the data of series of cross-sectional national surveys – the National Nutrition Survey (NNS) and the National Health Nutrition Survey (NHNS) – during the period from 1995 to 2016. The NNS and NHNS participants aged 20–79 years were included in the analysis. Dietary intake was estimated using 1-d household-based dietary record. The trend in total energy intake, energy intake from macronutrients (fat and protein), Na intake and energy-adjusted Na intake were analysed using regression models adjusted to 2010 age distribution and anthropometry status. A total of 94 270 men and 107 890 women were included the analysis. Total energy intake showed a decreasing trend in both men and women. Similarly, energy intake from protein decreased, but energy intake (%) from fat increased in both sexes. Energy-adjusted Na intake showed a decreasing trend in both men and women. This study identified the decrease in total energy intake and energy intake from protein, whereas there were inverse trends in energy intake from fat among Japanese adults. Continued monitoring of trends in dietary intake will be needed, and there should be efforts to increase the accuracy of current survey procedures.

Sign in / Sign up

Export Citation Format

Share Document