scholarly journals The food and nutrient intake of 5- to 12-year-old Australian children during school hours: a secondary analysis of the 2011–2012 National Nutrition and Physical Activity Survey

2021 ◽  
pp. 1-10
Author(s):  
Alexandra C Manson ◽  
Brittany J Johnson ◽  
Dorota Zarnowiecki ◽  
Rachel Sutherland ◽  
Rebecca K Golley
Keyword(s):  
Physical Activity ◽  
Food Intake ◽  
Dietary Intake ◽  
Nutrient Intake ◽  
Daily Intake ◽  
Secondary Analysis ◽  
School Food ◽  
Discretionary Choices ◽  
Nationally Representative ◽  
Activity Survey

Abstract Objective: School food intake of Australian children is not comprehensively described in literature, with limited temporal, nationally representative data. Greater understanding of intake at school can inform school-based nutrition promotion. This study aimed to describe the dietary intake of primary-aged children during school hours and its contribution to daily intake. Design: This secondary analysis used nationally representative, cross-sectional data from the 2011 to 2012 National Nutrition and Physical Activity Survey. Dietary intake was assessed using validated 24-h dietary recalls on school days. Descriptive statistics were undertaken to determine energy, nutrients, food groups and food products consumed during school hours, as well as their contributions to total daily intake. Associations between school food intake and socio-demographic characteristics were explored. Setting: Australia. Participants: Seven hundred and ninety-five children aged 5–12 years. Results: Children consumed 37 % of their daily energy and 31–43 % of select nutrient intake during school hours, with discretionary choices contributing 44 % of school energy intake. Most children consumed less than one serve of vegetables, meat and alternatives or milk and alternatives during school hours. Commonly consumed products were discretionary choices (34 %, including biscuits, processed meat), bread (17 %) and fruit (12 %). There were limited associations with socio-economic position variables, apart from child age. Conclusions: Children’s diets were not aligned with national recommendations, with school food characterised by high intake of discretionary choices. These findings are consistent with previous Australian evidence and support transformation of the Australian school food system to better align school food consumption with recommendations.

scholarly journals Diet Quality of Australian Children and Adolescents on Weekdays versus Weekend Days: A Secondary Analysis of the National Nutrition and Physical Activity Survey 2011–2012

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 4128
Author(s):  
Dimity C. Dutch ◽  
Rebecca K. Golley ◽  
Brittany J. Johnson
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Diet Quality ◽  
Weight Status ◽  
Secondary Analysis ◽  
Healthy Weight ◽  
Discretionary Choices ◽  
Nutrition And Physical Activity ◽  
Activity Survey ◽  
Parent Proxy

Daily routines may influence children and adolescents’ eating patterns, however the influence of days of the week on dietary intake has rarely been explored. This study aimed to examine discretionary choices intake in the context of diet quality on weekdays versus weekends. A secondary analysis was conducted using the Australian National Nutrition and Physical Activity Survey 2011–2012. Differences in discretionary choices intake and diet quality on weekdays versus weekends, were examined using ANCOVA analyses. Associations between child and parent-proxy characteristics and weekday/weekend discretionary choices intake were examined using multivariable regression models. Primary analyses included 2584 Australian 2–17-year-olds. There were small differences in discretionary choices intake and diet quality between weekdays and weekends in all age subgroups. Compared to weekdays, intakes on weekends were characterized by a higher intake of discretionary choices, and lower total Dietary Guidelines Index for Children and Adolescents (DGI-CA) scores across the age subgroups (all p < 0.01). Parent-proxy discretionary choices intake and child age were predictors of weekday and weekend discretionary choices intake. Parent-proxy obesity weight status compared with healthy weight status was a predictor of weekend intake, while parent-proxy education level was a predictor of weekday discretionary choices intake. Future intervention strategies should target discretionary choices intake on both weekdays and weekends.

scholarly journals Climaterium, food intake and medicines

2012 ◽  
Vol 05 (03) ◽  
pp. 134-138 ◽  
Author(s):  
Roberta Deh Souza Santos ◽  
Eduarda de Castro Furtado ◽  
Flávia Giolo Deh Carvalho ◽  
Renata Iannetta ◽  
Carla Barbosa Nonino ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Vitamin E ◽  
Food Intake ◽  
Body Mass ◽  
Outpatient Clinic ◽  
Nutrient Intake ◽  
Medication Prescription ◽  
Fiber Consumption

ABSTRACT Background: Polytherapy treatment is a common practice observed among menopausal patients. This study aimed to quantify food intake and medications in climacteric patients living in community. Methods: Eligible patients from Climacteric Outpatient Clinic (HCFMRP/USP) were recruited. The collected data were: food intake records, age, body weight, height, levels of physical activity and medications in use. Results: Eighty women were studied. Their age was 548 years and body mass index 307kg/m2. They had inadequate dietary Fe, K, Mg, Ca, thiamin, pyridoxine, vitamin E, folate and fiber consumption; 62% used 3 or more medications/day among hypotensive, micronutrients and anti-depressants. Conclusion: Climacteric women need special attention regarding nutrient intake and medication prescription.

scholarly journals Associations between markers of health and playing golf in an Australian population

2019 ◽  
Vol 5 (1) ◽  
pp. e000517 ◽  
Author(s):  
Brad Stenner ◽  
Amber D Mosewich ◽  
Jonathan D Buckley ◽  
Elizabeth S Buckley
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Secondary Analysis ◽  
Health Related Quality ◽  
Australian Population ◽  
Physically Active ◽  
Related Quality ◽  
Health Related ◽  
Activity Survey

ObjectiveTo investigate associations between markers of health and playing golf in an Australian population.MethodsSecondary analysis of data from the Australian National Nutrition and Physical Activity Survey to compare selected health outcomes between golfers (n=128) and non-golfers (n=4999).ResultsGolfers were older than non-golfers (mean±SD 57.7±14.2 years, 48.5±17.6 years, p<0.05). A higher proportion of golfers were overweight or obese compared with non-golfers (76% vs 64%, p<0.05), and golfers were more likely to have been diagnosed with ischaemic heart disease (IHD) at some time in their life (OR 2.8, 95% CI 1.0 to 7.8). However, neither the risk of being overweight or obese (OR 1.4, 95% CI 0.9 to 2.2) or having been diagnosed with IHD (OR 2.1, 95% CI 0.8 to 5.8), were significant after controlling for age. Golfers were more physically active than non-golfers (8870±3810 steps/day vs 7320±3640 steps/day, p<0.05) and more likely to report high health-related quality of life (HRQoL) than non-golfers (OR 1.8; 95% CI 1.0 to 3.3), but not after adjusting for physical activity (OR 1.4, 95% CI 0.9 to 2.2).ConclusionCompared with non-golfers, golfers were more likely to be overweight or obese and to have been diagnosed with IHD, but not after adjusting for golfers being older. Golfers were more likely to report a higher HRQoL, but not after adjusting for golfers being more physically active. There may be an association between golfers being more physically active than non-golfers and reporting a higher HRQoL.

scholarly journals Consumption of Ready-to-Eat Cereal in Canada and Its Contribution to Nutrient Intake and Nutrient Density among Canadians

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1009 ◽  
Author(s):  
Hassan Vatanparast ◽  
Naorin Islam ◽  
Rashmi Prakash Patil ◽  
Arash Shamloo ◽  
Pardis Keshavarz ◽  
...  
Keyword(s):  
Vitamin B6 ◽  
Nutrient Intake ◽  
Age Groups ◽  
Daily Intake ◽  
Canadian Community Health Survey ◽  
Milk Consumption ◽  
Cross Sectional ◽  
Nutrient Density ◽  
Community Health Survey ◽  
Nationally Representative

In recent years, ready-to-eat cereal (RTEC) has become a common breakfast option in Canada and worldwide. This study used the nationally representative cross-sectional data from the Canadian Community Health Survey (CCHS) 2015-Nutrition to determine patterns of RTEC consumption in Canada and the contribution to nutrient intake among Canadians who were ≥2 years, of whom 22 ± 0.6% consumed RTEC on any given day. The prevalence of RTEC consumption was highest in children aged two to 12 years (37.6 ± 1.2%), followed by adolescents aged 13 to 18 years (28.8 ± 1.4%), and then by adults ≥19 years (18.9 ± 0.6%). RTEC consumers had higher intakes of “nutrients to encourage” compared to the RTEC non-consumers. More than 15% of the daily intake of some nutrients, such as folic acid, iron, thiamin, and vitamin B6, were contributed by RTEC. It was noted that nearly 66% of milk consumption was co-consumed with RTEC among RTEC consumers. The nutrient density of the diet, as defined by Nutrient-Rich Food Index (NRF 9.3), was significantly higher among RTEC consumers compared to non-consumers. RTEC consumption was not associated with overweight/obesity. RTEC consumption considerably contributed to the intake of some key nutrients among all age groups in Canada.

scholarly journals Dietary intake and nutritional status of children and adolescents in Europe

2004 ◽  
Vol 92 (S2) ◽  
pp. S147-S211 ◽  
Author(s):  
Janet Lambert ◽  
Carlo Agostoni ◽  
Ibrahim Elmadfa ◽  
Karin Hulshof ◽  
Edburga Krause ◽  
...  
Keyword(s):  
Food Intake ◽  
Dietary Intake ◽  
Children And Adolescents ◽  
Food Composition ◽  
Personal Contact ◽  
Nutrient Intakes ◽  
Food Composition Tables ◽  
Nationally Representative ◽  
Nutritional Status Of Children ◽  
Status Data

The objective of this project was to collect and evaluate data on nutrient intake and status across Europe and to ascertain whether any trends could be identified. Surveys of dietary intake and status were collected from across Europe by literature search and personal contact with country experts. Surveys that satisfied a defined set of criteria – published, based on individual intakes, post-1987, adequate information provided to enable its quality to be assessed, small age bands, data for sexes separated above 12 years, sample size over 25 and subjects representative of the population – were selected for further analysis. In a small number of cases, where no other data for a country were available or where status data were given, exceptions were made. Seventy-nine surveys from 23 countries were included, and from them data on energy, protein, fats, carbohydrates, alcohol, vitamins, minerals and trace elements were collected and tabulated. Data on energy, protein, total fat and carbohydrate were given in a large number of surveys, but information was very limited for some micronutrients. No surveys gave information on fluid intake and insufficient gave data on food patterns to be of value to this project. A variety of collection methods were used, there was no consistency in the ages of children surveyed or the age cut-off points, but most surveys gave data for males and females separately at all ages. Just under half of the surveys were nationally representative and most of the remainder were regional. Only a small number of local surveys could be included. Apart from anthropometric measurements, status data were collected in only seven countries. Males had higher energy intakes than females, energy intake increased with age but levelled off in adolescent girls. Intakes of other nutrients generally related to energy intakes. Some north–south geographical trends were noted in fat and carbohydrate intakes, but these were not apparent for other nutrients. Some other trends between countries were noted, but there were also wide variations within countries. A number of validation studies have shown that misreporting is a major problem in dietary surveys of children and adolescents and so all the dietary data collected for this project should be interpreted and evaluated with caution In addition, dietary studies rely on food composition tables for the conversion of food intake data to estimated nutrient intakes and each country uses a different set of food composition data which differ in definitions, analytical methods, units and modes of expression. This can make comparisons between countries difficult and inaccurate. Methods of measuring food intake are not standardised across Europe and intake data are generally poor, so there are uncertainties over the true nutrient intakes of children and adolescents across Europe. There are insufficient data on status to be able to be able to draw any conclusions about the nutritional quality of the diets of European children and adolescents.

scholarly journals Variation in dietary intake and physical activity pattern as predictors of change in body mass index (BMI) Z-score among Brazilian adolescents*

2013 ◽  
Vol 16 (2) ◽  
pp. 493-501 ◽  
Author(s):  
Carla C. Enes ◽  
Betzabeth Slater
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Food Intake ◽  
Dietary Intake ◽  
Body Mass ◽  
Activity Pattern ◽  
Screen Time ◽  
Z Score ◽  
Physical Activity Pattern ◽  
One Year

Objective: To assess whether changes in dietary intake and physical activity pattern are associated with the annual body mass index (BMI) z-score change among adolescents. Methods: The study was conducted in public schools in the city of Piracicaba, Sao Paulo, Brazil, with a probabilistic sample of 431 adolescents participating in wave I (2004) (hereafter, baseline) and 299 in wave II (2005) (hereafter, follow-up). BMI, usual food intake, physical activity, screen time, sexual maturation and demographic variables were assessed twice. The association between annual change in food intake, physical activity, screen time, and annual BMI z-score changes were assessed by multiple regression. Results: The study showed a positive variation in BMI z-score over one-year. Among variables related to physical activity pattern only playing videogame and using computer increased over the year. The intake of fruits and vegetables and sugar-sweetened beverages increased over one year, while the others variables showed a reduction. An increased consumption of fatty foods (β = 0.04, p = 0.04) and sweetened natural fruit juices (β = 0.05, p = 0.03) was positively associated with the rise in BMI z-score. Conclusions: Unhealthy dietary habits can predict the BMI z-score gain more than the physical activity pattern. The intake of fatty foods and sweetened fruit juices is associated with the BMI z-score over one year.

scholarly journals Intake of essential fatty acids in Indonesian children: secondary analysis of data from a nationally representative survey

2016 ◽  
Vol 115 (4) ◽  
pp. 687-693 ◽  
Author(s):  
Nicole Neufingerl ◽  
Ratna Djuwita ◽  
Anke Otten-Hofman ◽  
Reisi Nurdiani ◽  
Ursula Garczarek ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Dietary Intake ◽  
Essential Fatty Acids ◽  
Secondary Analysis ◽  
Food Samples ◽  
Food Composition ◽  
Considerable Proportion ◽  
Nutrient Adequacy ◽  
Nationally Representative ◽  
Total Fat

AbstractEssential fatty acids (EFA) such as α-linolenic acid (ALA) and linoleic acid (LA) are needed for healthy growth and development of children. Worldwide, reliable intake data of EFA are often lacking. The objective of this study was to investigate dietary intake of EFA in Indonesian children. Dietary intake data of 4–12-year-old children (n 45 821) from a nationally representative Indonesian survey were used to estimate median intake and distribution of population fatty acid intake. Missing data on individual fatty acids in the Indonesian food composition table were complemented through chemical analyses of national representative food samples and imputation of data from the US nutrient database. Nutrient adequacy ratios were calculated as a percentage of FAO/WHO intake recommendations. The medians of total fat intake of the children was 26·7 (10th–90th percentile 11·2–40·0) percentage of total daily energy (%E). Intakes of fatty acids were 4·05 (10th–90th percentile 1·83–7·22) %E for total PUFA, 3·36 (10th–90th percentile 1·14–6·29) %E for LA and 0·20 (10th–90th percentile 0·07–0·66) %E for ALA. Median intake of PUFA was 67 % and that of ALA 40 % of the minimum amounts recommended by FAO/WHO. These data indicate that a majority of Indonesian children has intakes of PUFA and specifically ALA that are lower than recommended intake levels. Total fat and LA intakes may be suboptimal for a smaller yet considerable proportion of children. Public health initiatives should provide practical guidelines to promote consumption of PUFA-rich foods.

scholarly journals Relationship between body weight perception and weight-related behaviours

2018 ◽  
Vol 46 (9) ◽  
pp. 3796-3808 ◽  
Author(s):  
Tawima Sirirassamee ◽  
Sasiwan Phoolsawat ◽  
Supakorn Limkhunthammo
Keyword(s):  
Physical Activity ◽  
Dietary Intake ◽  
Vigorous Physical Activity ◽  
Weight Perception ◽  
Population Based ◽  
Cross Sectional Survey ◽  
Vigorous Exercise ◽  
Cross Sectional ◽  
Nationally Representative ◽  
Multistage Sampling

Objectives This study aimed to examine the prevalence of weight misperception and to explore the association of weight perception with physical activity and dietary intake. Methods A population-based, nationally representative cross-sectional survey was conducted of 920 Thai adolescents aged 13 to 24 years. Respondents were selected using stratified multistage sampling. Respondents who agreed to participate were asked to complete the Youth Risk Behavior Questionnaire. Results Females were more likely than males to misperceive themselves as overweight (21.8% vs. 11.7%), whereas males were more likely than females to misperceive themselves as underweight (12.3% vs. 3.4%). Males were more likely than females to report a high intake of vegetables (45.7% vs. 38.0%), milk (39.1% vs. 38.0%), 100% fruit juice (20.9% vs. 17.7%) and soda or pop (38.5% vs. 20.6%). Males were also more likely than females to report vigorous physical activity of more than 60 minutes per day (38.1% vs. 21.3%) and vigorous exercise to strengthen or tone muscles (37.3% vs. 13.2%). Conclusions Gender differences in dietary intake and physical activity were identified. However, there were no significant differences in dietary intake and physical activity between adolescents who correctly perceived themselves as overweight and those who misperceived themselves as overweight.

scholarly journals Influence of GDM Diagnosis and Treatment on Weight Gain, Dietary Intake and Physical Activity in Pregnant Women with Obesity: Secondary Analysis of the UPBEAT Study

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 359 ◽  
Author(s):  
La’Shay Atakora ◽  
Lucilla Poston ◽  
Louise Hayes ◽  
Angela C. Flynn ◽  
Sara L. White
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Dietary Intake ◽  
Pregnant Women ◽  
Secondary Analysis ◽  
Health Behaviours ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Obese Women ◽  
Iadpsg Criteria

Obesity during pregnancy is associated with the development of gestational diabetes (GDM). This study aimed to assess if the result of an oral glucose tolerance test (OGTT) for GDM influences health (diet and physical activity) behaviours of pregnant women with obesity. In total, 1031 women who participated in the UK Pregnancies Better Eating and Activity Trial (UPBEAT) of a lifestyle intervention from early pregnancy were included. Changes in weight gain, dietary intake and physical activity following an OGTT undertaken between 27+0 and 28+6 weeks’ and 34 and 36 weeks’ gestation were examined using linear regression with appropriate adjustment for confounders. Obese women without GDM (IADPSG criteria) gained 1.9 kg (95% CI −2.2, −1.5, p < 0.001) more weight than women with GDM. Women with GDM demonstrated greater reductions in energy (–142kcal, 95%CI −242.2, −41.9, p = 0.006), carbohydrate intake (−1.5%E 95%CI –2.8, −0.3, p = 0.016) and glycaemic load (–15.2, 95%CI −23.6, –6.7, p < 0.001) and a greater increase in protein intake (2%E, 95%CI 1.3, 2.7, p < 0.001), compared to women without GDM. Trial intervention allocation did not influence any associations observed. The findings emphasise the need for strategies to optimise the health behaviours of pregnant women with obesity, following a negative OGTT for GDM.

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