Evidence map›Paper›PMID 32977670›Full record

ArticleNutrients2020

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

Minji Kang, Song-Yi Park, Carol J Boushey, Lynne R Wilkens, Loïc Le Marchand, Jean H Hankin, Hee-Young Paik

Abstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Minji KangCenter for Gendered Innovations in Science and Technology Research (GISTeR), Korea Federation of Women's Science & Technology Associations, Seoul 06130, Korea.ORCID 0000-0003-2930-4780
Song-Yi ParkCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.ORCID 0000-0001-7734-5320
Carol J BousheyCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.ORCID 0000-0001-7517-787X
Lynne R WilkensCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
Loïc Le MarchandCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.ORCID 0000-0001-5013-980X
Jean H HankinCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.
Hee-Young PaikCenter for Gendered Innovations in Science and Technology Research (GISTeR), Korea Federation of Women's Science & Technology Associations, Seoul 06130, Korea.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
National Cancer Institute at the National Institutes of Health (R37CA054281, U01CA164973, P30CA071789)NCI NIH HHS P30 CA071789Support Program for Women in Science, Engineering and Technology through the Center for Women In Science, Engineering and Technology (WISET) funded by the Ministry of Science and ICT (WISET202003GI01)
6 · The paper itself

Abstract

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.

Indexed as

Cause of DeathEnergy IntakeSex CharacteristicsAgedCardiovascular DiseasesDietFemaleHawaiiHumansMaleMiddle AgedNeoplasmsPortion SizeProportional Hazards ModelsProspective StudiesRisk Factorsfood frequency questionnairemortality riskportion sizetotal energy intake

Identifiers

PMID32977670
PMCPMC7598663

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.