Portion Sizes from 24-Hour Dietary Recalls Differed by Sex among Those Who Selected the Same Portion Size Category on a Food Frequency Questionnaire

Kang, Minji; Park, Song‐Yi; Boushey, Carol J.; Wilkens, Lynne R.; Monroe, Kristine R.; Marchand, Loı̈c Le; Kolonel, Laurence N.; Murphy, Suzanne P.; Paik, Hee Young

doi:10.1016/j.jand.2018.02.014

Cited by 12 publications

(9 citation statements)

References 29 publications

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“…The question whether diet quality is better and associations with adiposity measures are stronger among women than men is difficult to explain. Besides being a chance finding, it is possible that women report their diet more accurately or that portion sizes in the QFFQ are closer to those consumed by women than men as suggested previously [ 5 ]. Given the similar magnitude of the associations between a high quality diet and chronic disease incidence and mortality in both sexes [ 20 , 31 ], the large differences in VAT and the VAT/SAT ratio between men and women are probably due to an underlying biologic mechanism, most likely genetic variation, that leads to differential fat accumulation.…”

Section: Discussionmentioning

confidence: 93%

“…If sex differences in portion sizes and other aspects of food consumption are not accurately captured, the validity of the findings by sex are challenged [ 2 ]. A comparison of eating patterns between men and women has indicated that, in general but not for all foods, portions consumed by men were larger than those by women [ 3 – 5 ]. For food choices, differences between men and women have been reported, e.g., women eat more fruits, vegetables, cereals, milk and dairy products than men do, while men consume more meat products, eggs, alcohol, and various starchy foods than women [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

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Differences in the association of diet quality with body fat distribution between men and women

et al. 2020

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Background/Objective: As dietary intake and endocrine metabolism are vastly different by sex, we evaluated differences in the association of diet quality with body composition between men and women. Subjects/Methods: Close to 2,000 participants from the Multiethnic Cohort completed calibrated quantitative food frequency questionnaires at cohort entry (1993–96) and clinic visit (2013–16), from which the Healthy Eating Index (HEI-2010) was computed. Adiposity measures were obtained through DXA and MRI at clinic visit. Multivariable-adjusted mean adiposity measures were estimated by tertiles of HEI-2010 scores using general linear regression. The associations of diet quality with high visceral fat (VAT) and non-alcoholic fatty liver disease (NAFLD) were examined by logistic regression. To assess sex differences, cross-product terms with HEI-2010 were added to the models. Results: Mean HEI-2010 scores were higher for women than men at cohort entry (67.4 vs. 64.0) and clinic visit (73.6 vs. 71.0). Past and current diet quality was inversely associated with adiposity measures in men and women. Although interaction terms were not significant, the magnitude of the slopes and differences in adjusted means across tertiles suggested a stronger association for women than men. When comparing individuals who maintained a high vs. poor quality diet over 20 years, women but not men showed significantly lower risks for high VAT, whereas high HEI-2010 scores predicted a lower risk of NAFLD in both sexes. Conclusions: The inverse association of diet quality with adiposity was similar in both sexes, but diet quality appeared to have a stronger influence on VAT in women than men.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Differences in the association of diet quality with body fat distribution between men and women

et al. 2020

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“…According to a study with Japanese subjects aged between 20 and 69 yrs, a significant difference in food consumption was found according to age and gender as seasoning, fish, noodle, and loaf bread were presented as a major supply source of total sodium intake [ 21 ]. In a Hawaii-Los Angeles Multiethnic Cohort study which examined sex differences in reported food portions from 24-h dietary recalls (24-h recalls) among those who selected the same portion size category on a quantitative food frequency questionnaire, mean intake amounts from 24-h recalls were significantly higher for men than for women for certain foods such as beef/lamb/veal, white rice, and lettuce/tossed salad [ 22 ]. Fourteen days of food grocery receipts were analyzed and high-income families bought more vegetables and dairy products and fewer frozen desserts and the quality of meals represented by the healthy eating index (HEI) was significantly higher than those of low-income families [ 23 ].…”

Section: Discussionmentioning

confidence: 99%

Food consumption frequency of Korean adults based on whether or not having chewing difficulty using 2013–2016 KNHANES by sex-stratified comparative analysis

Kim

2020

Nutr Res Pract

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BACKGROUND/OBJECTIVES: This study examined the associations between food consumption frequency of Korean adults and self-perceived chewing difficulty, using the food frequency questionnaire (FFQ, 112 items) from 2013-2016 of the Korea National Health and Nutrition Examination Survey (KNHANES). SUBJECTS/METHODS: Subjects were divided into not difficult in chewing (NDC) and difficult in chewing (DC) groups, with 24.17% being classified into DC. Males and females consumed 35 and 37 items less frequently than the other sex, respectively. Due to the remarkable gender difference in food consumption, gender-stratified one-sided survey regression analysis was performed after adjusted for the effect of age, household income, and self-rated health status. RESULTS: Thirty-four items of FFQ were significantly less consumed by the DC group. Females exclusively consumed less beverages and alcohol while males showed the same for fruits and milk•dairy products. Consumption frequency of 8 items such as steamed potatoes•grilled potatoes, stir fried beef, other kimchi•fresh vegetable kimchi, orange, sour pork•pork cutlet, tteokbokki and green tea were significant only in males. In contrast, 17 items including cooked rice with other grains and legumes, boiled egg•steamed egg, Korean cabbage kimchi, banana, and tofu stew•soft tofu stew were significant only for females. Finally, items that showed significance for both were 9 items including loaf bread, readyto-eat cereal, steamed sweet potatoes•grilled sweet potatoes, stir-fried lotus roots•stir-fried burdock, green laver salad•brown seaweed salads, apples, tomato•cherry tomatoes, squid (raw, dried shredded, boiled, stir-fried), and curd type yogurt. CONCLUSIONS: Findings in this study suggest chewing difficulty may be an important nutritional issue that has to be dealt with for healthful food consumption, with distinct interest of gender.

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“…Differences in food consumption between men and women have been recognized by several studies. Men’s food portions were larger than women’s in general, but not for all single foods or food groups compared [ 4 , 5 , 6 , 7 ]. There were also gender differences in food choices [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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.

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Portion Sizes from 24-Hour Dietary Recalls Differed by Sex among Those Who Selected the Same Portion Size Category on a Food Frequency Questionnaire

Cited by 12 publications

References 29 publications

Differences in the association of diet quality with body fat distribution between men and women

Differences in the association of diet quality with body fat distribution between men and women

Food consumption frequency of Korean adults based on whether or not having chewing difficulty using 2013–2016 KNHANES by sex-stratified comparative analysis

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

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