The Experts below are selected from a list of 240669 Experts worldwide ranked by ideXlab platform
Yoshiko Takahashi - One of the best experts on this subject based on the ideXlab platform.
-
neighborhood restaurant availability and frequency of eating out in relation to Dietary Intake in young japanese women
Journal of Nutritional Science and Vitaminology, 2011Co-Authors: Kentaro Murakami, Satoshi Sasaki, Yoshiko Takahashi, Kazuhiro UenishiAbstract:Exposure to food service establishments is considered to encourage consumption and contribute to poorer diet quality, and hence adverse health profiles. However, empirical verification of these links remains rare, particularly in young adults and non-Western populations. The objective of this cross-sectional study was to test the hypothesis that neighborhood restaurant availability and frequency of eating out are associated with unfavorable patterns of Dietary Intake and thus possibly higher body mass index (BMI) and waist circumference in young Japanese women. The subjects were 989 female Japanese dietetic students 18 to 22 y of age. Dietary Intake and frequency of eating out (i.e., consumption of commercially prepared meals) during the preceding month were assessed using a comprehensive, self-administered diet history questionnaire. Neighborhood restaurant availability was defined as the number of restaurants within a 0.5-mile (0.8-km) radius of residence (i.e., full-service restaurants, limited-service restaurants, and cafeterias). Increasing frequency of eating out was associated with higher Intake of meat, confectionery and bread, and Dietary fat, lower Intake of fruit and vegetables, rice, and Dietary fiber, and higher Dietary energy density. However, neighborhood restaurant availability was not associated with either the frequency of eating out or any of the Dietary variables examined. Further, frequency of eating out and neighborhood restaurant availability were not associated with BMI or waist circumference. In conclusion, although frequency of eating out was positively associated with unfavorable Dietary Intake patterns in a group of young Japanese women, neighborhood restaurant availability was not associated with frequency of eating out or Dietary Intake.
-
neighborhood socioeconomic status in relation to Dietary Intake and insulin resistance syndrome in female japanese dietetic students
Nutrition, 2010Co-Authors: Kentaro Murakami, Satoshi Sasaki, Yoshiko Takahashi, Kazuhiro UenishiAbstract:Abstract Objective An increasing number of studies in Western countries have shown that living in a socioeconomically disadvantaged neighborhood is associated with unfavorable Dietary Intake patterns and health status. However, information on such neighborhood socioeconomic differences in diet and health among different cultural settings, including Japan, is limited. This cross-sectional study examined the association of neighborhood socioeconomic status (SES) with Dietary Intake and a summary score of the insulin resistance syndrome (IRS) in a group of young Japanese women. Methods Subjects were 1081 female Japanese dietetic students aged 18 to 22 y residing in 295 municipalities in Japan. Neighborhood SES index was defined by seven municipal-level variables, namely unemployment, household overcrowding, poverty, education, income, home ownership, and vulnerable group, with an increasing index signifying increasing neighborhood socioeconomic disadvantage. Dietary Intake was estimated using a validated, comprehensive self-administered diet-history questionnaire. Measurements of body mass index, systolic blood pressure, fasting high-density lipoprotein cholesterol, triacylglycerol, glucose, and insulin were combined into an IRS score, with an increasing score signifying increasing levels of components of the IRS. Results Neighborhood SES index was not associated with most of the Dietary variables, body mass index, high-density lipoprotein cholesterol, triacylglycerol, or glucose. However, neighborhood SES index was significantly positively associated with systolic blood pressure, insulin, and IRS score, after adjustment for potential confounding or mediating factors, including household SES, Dietary, and lifestyle factors. Conclusion Neighborhood socioeconomic disadvantage was associated with unfavorable profiles of the IRS score, but not Dietary Intake, in a group of young Japanese women.
-
neighborhood socioeconomic status in relation to Dietary Intake and body mass index in female japanese dietetic students
Nutrition, 2009Co-Authors: Kentaro Murakami, Satoshi Sasaki, Hitomi Okubo, Yoshiko TakahashiAbstract:Abstract Objective An increasing number of studies conducted in Western countries have shown that living in a socioeconomically disadvantaged neighborhood is associated with unfavorable Dietary Intake patterns and an unfavorable health status. However, information on such neighborhood socioeconomic differences in diet and health among different cultural settings, including Japan, is absolutely lacking. This cross-sectional study examined the association of neighborhood socioeconomic status (SES) with Dietary Intake and body mass index (BMI) in a group of young Japanese women. Methods Subjects were 3892 female Japanese dietetic students 18–20 y of age from 53 institutions, residing in 1033 municipalities in 47 prefectures in Japan. Neighborhood SES index was defined by seven municipal-level variables, namely unemployment, household overcrowding, poverty, education, income, home ownership, and vulnerable groups, with an increasing index signifying increasing neighborhood socioeconomic disadvantage. Dietary Intake was estimated using a validated, comprehensive self-administered diet history questionnaire. BMI was computed from self-reported body weight and height. Results Neighborhood SES index was not materially associated with most of the Dietary variables. However, neighborhood SES index was positively associated with BMI, with significance ( P for trend = 0.020). This significant association remained after adjustment for potential confounding or mediating factors including household SES, Dietary, other lifestyle, and geographic factors ( P for trend = 0.037). Conclusion Although no material association was seen between neighborhood SES and Dietary Intake, increasing neighborhood socioeconomic disadvantage was independently associated with increasing BMI in a group of young Japanese women.
Linda C Tapsell - One of the best experts on this subject based on the ideXlab platform.
-
evaluation of the Dietary Intake data coding process in a clinical setting implications for research practice
PLOS ONE, 2019Co-Authors: Linda C Tapsell, Vivienne Guan, Yasmine Probst, Elizabeth P NealeAbstract:Background High quality Dietary Intake data is required to support evidence of diet-disease relationships exposed in clinical research. Source data verification may be a useful quality assurance method in this setting. The present pilot study aimed to apply source data verification to evaluate the quality of the data coding process for Dietary Intake in a clinical trial and to explore potential barriers to data quality in this setting. Methods Using a sample of 20 cases from a clinical trial, source data verification was conducted between three sets of data derived documents: transcripts of audio-recorded diet history interviews, matched paper-based diet history forms and outputs from nutrition analysis software. The number of cases and rates of discrepancies between documents were calculated. A total of five in-depth interviews with dietitians collecting and coding Dietary data were thematically analysed. Results Some 2024 discrepancies were identified. The highest discrepancy rate was 57.49%, and occurred between diet history interviews and nutrition analysis software outputs. Sources of the discrepancies included both quantities and frequencies of food Intake. The highest discrepancy rate was for the food group “vegetable products and dishes”. In-depth interviews implicated recall bias of trial participants as a cause of discrepancies, but dietitians also acknowledged a possible subconscious influence of having to code reported foods into nutrition analysis software programs. Conclusion The accuracy of Dietary Intake data appeared to depend on the level of detailed food data required. More support for participants on reporting consumption, and incorporating supportive tools to guide estimates of food quantities may facilitate a more consistent coding process and improve data quality. This pilot study offers a novel method and an overview of Dietary Intake data coding measurement errors. These findings may warrant further investigation in a larger sample.
-
a systematic method to evaluate the Dietary Intake data coding process used in the research setting
Journal of Food Composition and Analysis, 2017Co-Authors: Vivienne Guan, Linda C Tapsell, Yasmine Probst, Elizabeth P Neale, Allison MartinAbstract:Abstract Accurate Dietary Intake data are the basis for investigating diet-disease relationships. Data coding is a critical step of generating Dietary Intake data for analyses in nutrition research. However, there is currently no systematic method for assessing Dietary Intake data coding process. The aim of this study was to explore discrepancies in Dietary Intake data coding process through source data verification. A 1% random sample of paper-based diet history records (source data) from participants (n = 377) in a registered clinical trial was extracted as a pilot audit to explore potential discrepancy types. Another 10% random sample (n = 38) of baseline Dietary source data from the same trial was extracted developing the method. All items listed in the source data underwent a 100% manual verification check with food output data from FoodWorks software applied to the piloted discrepancy types. The identified discrepancies were categorized into food groups based on modified major groups of AUSNUT 2011–13. Free vegetables, meat, savory sauces and condiments, as well as cereals were found to be more prone to coding discrepancies than other food groups. A more detailed Dietary Intake data coding protocol is required prior to Dietary data collection and coding process to ensure data coding quality.
Philip Michael Bolger - One of the best experts on this subject based on the ideXlab platform.
-
us food and drug administration s total diet study Dietary Intake of perchlorate and iodine
Journal of Exposure Science and Environmental Epidemiology, 2008Co-Authors: Clarence William Murray, Sara Kathleen Egan, Nega Beru, Philip Michael BolgerAbstract:US Food and Drug Administration's Total Diet Study: Dietary Intake of perchlorate and iodine
Kentaro Murakami - One of the best experts on this subject based on the ideXlab platform.
-
neighborhood restaurant availability and frequency of eating out in relation to Dietary Intake in young japanese women
Journal of Nutritional Science and Vitaminology, 2011Co-Authors: Kentaro Murakami, Satoshi Sasaki, Yoshiko Takahashi, Kazuhiro UenishiAbstract:Exposure to food service establishments is considered to encourage consumption and contribute to poorer diet quality, and hence adverse health profiles. However, empirical verification of these links remains rare, particularly in young adults and non-Western populations. The objective of this cross-sectional study was to test the hypothesis that neighborhood restaurant availability and frequency of eating out are associated with unfavorable patterns of Dietary Intake and thus possibly higher body mass index (BMI) and waist circumference in young Japanese women. The subjects were 989 female Japanese dietetic students 18 to 22 y of age. Dietary Intake and frequency of eating out (i.e., consumption of commercially prepared meals) during the preceding month were assessed using a comprehensive, self-administered diet history questionnaire. Neighborhood restaurant availability was defined as the number of restaurants within a 0.5-mile (0.8-km) radius of residence (i.e., full-service restaurants, limited-service restaurants, and cafeterias). Increasing frequency of eating out was associated with higher Intake of meat, confectionery and bread, and Dietary fat, lower Intake of fruit and vegetables, rice, and Dietary fiber, and higher Dietary energy density. However, neighborhood restaurant availability was not associated with either the frequency of eating out or any of the Dietary variables examined. Further, frequency of eating out and neighborhood restaurant availability were not associated with BMI or waist circumference. In conclusion, although frequency of eating out was positively associated with unfavorable Dietary Intake patterns in a group of young Japanese women, neighborhood restaurant availability was not associated with frequency of eating out or Dietary Intake.
-
neighborhood socioeconomic status in relation to Dietary Intake and insulin resistance syndrome in female japanese dietetic students
Nutrition, 2010Co-Authors: Kentaro Murakami, Satoshi Sasaki, Yoshiko Takahashi, Kazuhiro UenishiAbstract:Abstract Objective An increasing number of studies in Western countries have shown that living in a socioeconomically disadvantaged neighborhood is associated with unfavorable Dietary Intake patterns and health status. However, information on such neighborhood socioeconomic differences in diet and health among different cultural settings, including Japan, is limited. This cross-sectional study examined the association of neighborhood socioeconomic status (SES) with Dietary Intake and a summary score of the insulin resistance syndrome (IRS) in a group of young Japanese women. Methods Subjects were 1081 female Japanese dietetic students aged 18 to 22 y residing in 295 municipalities in Japan. Neighborhood SES index was defined by seven municipal-level variables, namely unemployment, household overcrowding, poverty, education, income, home ownership, and vulnerable group, with an increasing index signifying increasing neighborhood socioeconomic disadvantage. Dietary Intake was estimated using a validated, comprehensive self-administered diet-history questionnaire. Measurements of body mass index, systolic blood pressure, fasting high-density lipoprotein cholesterol, triacylglycerol, glucose, and insulin were combined into an IRS score, with an increasing score signifying increasing levels of components of the IRS. Results Neighborhood SES index was not associated with most of the Dietary variables, body mass index, high-density lipoprotein cholesterol, triacylglycerol, or glucose. However, neighborhood SES index was significantly positively associated with systolic blood pressure, insulin, and IRS score, after adjustment for potential confounding or mediating factors, including household SES, Dietary, and lifestyle factors. Conclusion Neighborhood socioeconomic disadvantage was associated with unfavorable profiles of the IRS score, but not Dietary Intake, in a group of young Japanese women.
-
neighborhood socioeconomic status in relation to Dietary Intake and body mass index in female japanese dietetic students
Nutrition, 2009Co-Authors: Kentaro Murakami, Satoshi Sasaki, Hitomi Okubo, Yoshiko TakahashiAbstract:Abstract Objective An increasing number of studies conducted in Western countries have shown that living in a socioeconomically disadvantaged neighborhood is associated with unfavorable Dietary Intake patterns and an unfavorable health status. However, information on such neighborhood socioeconomic differences in diet and health among different cultural settings, including Japan, is absolutely lacking. This cross-sectional study examined the association of neighborhood socioeconomic status (SES) with Dietary Intake and body mass index (BMI) in a group of young Japanese women. Methods Subjects were 3892 female Japanese dietetic students 18–20 y of age from 53 institutions, residing in 1033 municipalities in 47 prefectures in Japan. Neighborhood SES index was defined by seven municipal-level variables, namely unemployment, household overcrowding, poverty, education, income, home ownership, and vulnerable groups, with an increasing index signifying increasing neighborhood socioeconomic disadvantage. Dietary Intake was estimated using a validated, comprehensive self-administered diet history questionnaire. BMI was computed from self-reported body weight and height. Results Neighborhood SES index was not materially associated with most of the Dietary variables. However, neighborhood SES index was positively associated with BMI, with significance ( P for trend = 0.020). This significant association remained after adjustment for potential confounding or mediating factors including household SES, Dietary, other lifestyle, and geographic factors ( P for trend = 0.037). Conclusion Although no material association was seen between neighborhood SES and Dietary Intake, increasing neighborhood socioeconomic disadvantage was independently associated with increasing BMI in a group of young Japanese women.
Hazreen Abdul Majid - One of the best experts on this subject based on the ideXlab platform.
-
the longitudinal relationship between Dietary Intake physical activity and muscle strength among adolescents
British Journal of Nutrition, 2020Co-Authors: Noran Naqiah Hairi, Maznah Dahlui, Muhammad Yazid Jalaludin, Hazreen Abdul MajidAbstract:The longitudinal relationship between muscle strength, Dietary Intake and physical activity among adolescents is not well understood. We investigated the trend and longitudinal effects of Dietary Intakes and physical activity scores on muscle strength in adolescents. This prospective cohort study consisted of 436 adolescents (134 males; 302 females) aged 13 years at baseline (2012) who were followed up at the ages of 15 (2014) and 17 (2016) years, respectively. We measured muscle strength using a calibrated hand dynamometer, estimated Dietary Intake with a 7-d Dietary history and physical activity scores with a validated physical activity questionnaire for older children. A generalised estimating equation was used to examine the effect of Dietary Intakes and physical activity on muscle strength changes. The analysis was performed separately by sex. The muscle strength for males and females had increased within the 5-year period. The Dietary Intakes (energy and macronutrients) also increased initially but plateaued after the age of 15 years for both sexes. Females recorded a significant declining trend in physical activity scores compared with males as they grew older. A significant positive longitudinal relationship was found between protein (β = 0·035; P = 0·016), carbohydrate Intake (β = 0·002; P = 0·013) and muscle strength among males. However, no longitudinal relationship was found between Dietary Intake, physical activity and muscle strength among females. Higher protein and carbohydrate Intake among males was associated with higher muscle strength but was not observed in females. Nutrition and physical activity focusing on strength building are required in early adolescence and need to be tailored to males and females accordingly.
