| Literature DB >> 27909558 |
Won Gyoung Kim1, Injoo Choi1, Jihyun Yoon2.
Abstract
BACKGROUND/Entities:
Keywords: Nutrition surveys; food services; lunch; workers; workplace
Year: 2016 PMID: 27909558 PMCID: PMC5126410 DOI: 10.4162/nrp.2016.10.6.606
Source DB: PubMed Journal: Nutr Res Pract ISSN: 1976-1457 Impact factor: 1.926
Sociodemographic characteristics of the subjects according to the type of food service
The data were analyzed using the complex sample module.
1) Workers eating lunches served by their workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By χ2 test
Frequent menu items in Korean workers' lunches according to the type of food service
1) Workers eating lunches served by their workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
Number of servings consumed at lunch by Korean workers and percentages of Korean workers consuming less than one serving for food groups according to the type of food service
The data were analyzed using the complex sample module.
The values were adjusted for gender, age, occupation, and education level.
One serving is the amount of foods providing 300 kcal for grains, 100 kcal for meats, 15 kcal for vegetables, 50 kcal for fruits, 125 kcal for dairy, and 45 kcal for oils/sweets.
1) Workers eating lunches served by workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By ANCOVA with gender, age, occupation, and education level as covariates or χ2 test
4) The ratio of consumed food amount to one serving of each food group
5) Includes meat, fish, eggs, and legumes
Food group intake of Korean workers' lunches according to the type of food service
The data were analyzed using the complex sample module.
The values were adjusted for gender, age, occupation, and education level.
1) Workers eating lunches served by workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By ANCOVA with gender, age, occupation, and education level as covariates
Nutrients intake of Korean workers' lunches according to the type of food service
The data were analyzed using the complex sample module.
The values were adjusted for gender, age, occupation, and education level.
1) Workers eating lunches served by workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By ANCOVA with gender, age, occupation, and education level as covariates. For vitamins and minerals, by ANCOVA with energy, gender, age, occupation, and education level as covariates.
Nutrient Adequacy Ratio and Mean Adequacy Ratio of Korean workers' lunches according to the type of food service
The data were analyzed using the complex sample module.
The values were adjusted for occupation and education level.
1) Workers eating lunches served at the workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By ANCOVA with occupation and education level as covariates
NAR, Nutrient Adequacy Ratio; MAR, Mean Adequacy Ratio
Fig. 1Proportions of Korean workers with deficient nutrient intake from lunches according to the type of food service
The data were analyzed using the complex sample module.
The values are the percentages of people with nutrient intake less than 1/3 of the estimated average requirement.
1) Workers eating lunches served at workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
** Significantly different between lunch groups at α = 0.01 by χ2 test
*** Significantly different between lunch groups at α = 0.001 by χ2 test
Contribution of Korean workers' lunch to daily intake according to the type of food service
The data were analyzed using the complex sample module.
The values were adjusted for gender, age, occupation, and education level.
1) Workers eating lunches served by workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By ANCOVA with gender, age, occupation, and education level as covariates. For vitamins and minerals, by ANCOVA with energy, gender, age, occupation, and education level as covariates.
Fig. 2Distritubtion of Korean workers' macronutrient intake status according to the type of food service
The data were analyzed using the complex sample module.
Deficient: < 7% of energy intake from protein, < 15% of energy intake from fat, < 55% of energy intake from carbohydrate
Adequate: 7-20% of energy intake from protein, 15-30% of energy intake from fat, 55-65% of energy intake from carbohydrate
Excessive: > 20% of energy intake from protein, > 30% of energy intake from fat, > 65% of energy intake from carbohydrate
1) Workers eating lunches served at workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
* Significantly different between lunch groups at α = 0.05 by χ2 test
*** Significantly different between lunch groups at α = 0.001 by χ2 test
Nutrient density of Korean workers' lunch and daily intakes according to the type of food service
The data were analyzed using the complex sample module.
The values were adjusted for gender, age, occupation, and education level.
1) Workers eating lunches served by workplace food service
2) Workers eating commercially-prepared lunches, including lunch boxes and restaurant meals
3) By ANCOVA with gender, age, occupation, and education level as covariates. For vitamins and minerals, by ANCOVA with energy, gender, age, occupation, and education level as covariates.