Total water intake by kilogram of body weight: Analysis of the Australian 2011 to 2013 National Nutrition and Physical Activity Survey

2021 ◽  
Author(s):  
Laura J. Mallett ◽  
Vidhun Premkumar ◽  
Leanne J. Brown ◽  
Jennifer May ◽  
Megan E. Rollo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Water Intake ◽  
Total Water ◽  
Weight Analysis ◽  
Nutrition And Physical Activity ◽  
Activity Survey ◽  
Total Water Intake

scholarly journals Nut consumption in a representative survey of Australians: a secondary analysis of the 2011–2012 National Nutrition and Physical Activity Survey

2020 ◽  
Vol 23 (18) ◽  
pp. 3368-3378 ◽  
Author(s):  
Cassandra J Nikodijevic ◽  
Yasmine C Probst ◽  
Marijka J Batterham ◽  
Linda C Tapsell ◽  
Elizabeth P Neale
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Body Weight ◽  
Waist Circumference ◽  
Secondary Analysis ◽  
Current Evidence ◽  
Current Evidence Base ◽  
Nutrition And Physical Activity ◽  
Activity Survey ◽  
Nut Intake

AbstractObjective:Nut consumption is associated with a range of health benefits. The current study aimed to examine nut consumption in the 2011–2012 National Nutrition and Physical Activity Survey (NNPAS) and to investigate associations between nut intake, nutrient intake and anthropometric and blood pressure measurements.Design:Secondary analysis of the 2011–2012 NNPAS. Usual consumption of nuts in the 2011–2012 NNPAS was determined, and nut consumption was compared with population recommendations of 30 g nuts per day. The relationship between nut consumption and intakes of key nutrients, anthropometric outcomes (weight, BMI and waist circumference) and blood pressure was examined using linear regression for participants aged over 18 years.Setting:Australia.Participants:Australians (2 years and older, n 12 153) participating in the representative 2011–2012 NNPAS.Results:Mean nut intake was 4·61 (95 % CI: 4·36, 4·86) g/d, with only 5·6 % of nut consumers consuming 30 g of nuts per day. Nut consumption was associated with significantly greater intakes of fibre, vitamin E, Fe, Mg and P. There was no association between nut consumption and body weight, BMI, waist circumference, or blood pressure.Conclusions:Exploration of nut consumption in a representative sample of Australians identified that nut intake does not meet recommendations. Higher nut consumption was not adversely associated with higher body weight, aligning with the current evidence base. Given the current levels of nut consumption in Australia, strategies to increase nut intake to recommended levels are required.

scholarly journals Hydration status, body composition, and anxiety status in aeronautical military personnel from Spain: a cross-sectional study

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alejandra Carretero-Krug ◽  
Natalia Úbeda ◽  
Carlos Velasco ◽  
Juan Medina-Font ◽  
Trinidad Trujillo Laguna ◽  
...  
Keyword(s):  
Body Composition ◽  
Water Balance ◽  
Body Fat ◽  
Water Intake ◽  
Military Personnel ◽  
Hydration Status ◽  
Total Water ◽  
Percentage Of Body Fat ◽  
Urine Color ◽  
Total Water Intake

Abstract Background An adequate hydration status is critical to ensure efficiency during mental and physical activities. Our goal was to assess the hydration status of a Spanish group of aeronautical military men and to determine the association of hydration status with body composition and anxiety. Methods A total of 188 men were evaluated through a validated hydration questionnaire, anthropometric and biochemical parameters, and an anxiety questionnaire. Based on these methods, the criteria of hydration were established. Results Of the total sample, 81% met the hydration criteria (urine color = well hydrated, water balance ≥ 0 ml, and total water intake/weight ≥ 35 ml/kg), and 19% did not meet the hydration criteria (urine color = not sufficiently hydrated or dehydrated, water balance < 0 ml, and total water intake/weight < 35 ml/kg). Subjects not meeting the hydration criteria had lower urine pH, negative water balance, and lower water intake. The latter also had higher anxiety status (score = 4 vs. 3, P = 0.026), weight [(84.7 ± 10.5) vs. (80.5 ± 10.2) kg], body mass index [(26.3 ± 3.1) vs. (25.2 ± 2.8)]kg/m2, body fat [(22.3 ± 5.6) vs. (18.3 ± 6.5)] %, urine specific gravity, and urine color. Using a logistic binary regression model, hydration status was related significantly with the percentage of body fat (P = 0.004), but no relation was found with age, comorbidities, or medications. Furthermore, total water intake/weight was positively correlated with percentage of body water (r = 0.357, P = 0.000) and negatively with body fat (kg) (r = − 0.427, P = 0.000), percentage of body fat (r = − 0.405, P = 0.000), and waist/hip ratio (r = − 0.223, P = 0.002). Based on a linear regression model, total water intake/weight was related significantly with percentage of body fat (P = 0.001) and percentage of body water content (P = 0.035). No relation was found, however, with waist/hip ratio, age, comorbidities, or medications. Conclusions These findings all suggest a relationship between hydration status and body composition but also set the bases for future studies that relate hydration status and anxiety status. These results can be used to improve the hydration status and body composition of military personnel.

scholarly journals The role of obesity in the relation between total water intake and urine osmolality in US adults, 2009–2012

2016 ◽  
Vol 104 (6) ◽  
pp. 1554-1561 ◽  
Author(s):  
Asher Y Rosinger ◽  
Hannah G Lawman ◽  
Lara J Akinbami ◽  
Cynthia L Ogden
Keyword(s):  
Water Intake ◽  
Urine Osmolality ◽  
Total Water ◽  
Total Water Intake

Total water intake and its contributors in infants and young children

2021 ◽  
pp. 1-32
Author(s):  
Jean-Pierre Chouraqui ◽  
Simon N. Thornton ◽  
Louise Seconda ◽  
Stavros A. Kavouras
Keyword(s):  
Young Children ◽  
Water Intake ◽  
Water Consumption ◽  
Consumption Pattern ◽  
Plain Water ◽  
Age Group ◽  
Total Water ◽  
Beverage Consumption ◽  
Infants And Young Children ◽  
Total Water Intake

Abstract Hydration is a particular concern for infants and young children due to their greater risk of dehydration. However, studies on their water intakes are scarce. The current survey aimed to analyze total water intake (TWI) in non-breastfed children aged 0.5-35 months compared to the adequate intake (AI) for the same age group set by the EFSA and to examine the different contributors to TWI as well as beverage consumption patterns. Nationally representative data from the Nutri-Bébé cross-sectional survey were used to assess food, beverage, and plain water consumption by age group over three non-consecutive days. With age, median TWI in 1,035 children increased from 732 to 1010 mL/d, without differences between sex, but with a great inter-individual variation, and the percentage of children who did not meet the AI increased from 10% to 88%. Median weight-related TWI decreased from 136.6 to 69.0 mL/kg/d. Among infants, 90% had a ratio of water/energy below the AI, similarly for about 75% of toddlers. Milk and milk products were the main contributors to TWI, while the part of plain water increased gradually to be 25% in the older toddlers, half of which was tap water. The beverage consumption pattern varied in types and timing, with little consumption of juices and sweetened beverages. Vegetables and fruits accounted for 20% of TWI after the age of 6 months. These initial results, showing strong discrepancies between actual and recommended water intakes in young children, should help identify ways to increase children’s water consumption.

scholarly journals A cross-over study comparing an online versus a paper 7-day food record: focus on total water intake data and participant’s perception of the records

2015 ◽  
Vol 54 (S2) ◽  
pp. 27-34 ◽  
Author(s):  
B. Monnerie ◽  
L. G. Tavoularis ◽  
I. Guelinckx ◽  
P. Hebel ◽  
T. Boisvieux ◽  
...  
Keyword(s):  
Water Intake ◽  
Total Water ◽  
Food Record ◽  
Total Water Intake

scholarly journals Consumptions of plain water, moisture in foods and beverages, and total water in relation to dietary micronutrient intakes and serum nutrient profiles among US adults

2014 ◽  
Vol 18 (7) ◽  
pp. 1180-1186 ◽  
Author(s):  
Meng Yang ◽  
Ock K Chun
Keyword(s):  
Water Intake ◽  
Cross Sectional Study ◽  
Plain Water ◽  
Total Water ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Health And Nutrition ◽  
The Us ◽  
Nutrient Profiles ◽  
Total Water Intake

AbstractObjectiveTo investigate water contributors in relation to dietary and serum micronutrient profiles.DesignA cross-sectional study. The main exposures were water contributors. Selected dietary and serum micronutrient levels were outcome measures.SettingsThe US population and its subgroups.SubjectsUS adults (n 2691) aged ≥20 years from the National Health and Nutrition Examination Survey 2005–2006.ResultsThe daily mean total water intake was 3·1 (se 0·047) litres, with 68 % of adults consuming below the Adequate Intake level. Total water intake was higher in adults with higher BMI and physical activity, those taking dietary supplements and alcohol consumers (P < 0·05). Plain water intake was positively associated with food moisture and negatively with beverage moisture (P < 0·001). Beverage moisture was negatively associated with food moisture (P < 0·001). In multivariate regression analyses, plain water and food moisture intakes were positively associated with Fe, Ca, vitamins A, B, C, E and K and carotenoid intakes (P < 0·05). However, beverage moisture was unrelated to Ca, niacin and vitamin B6 intakes, and negatively associated with Fe, vitamin A, folate, vitamins C, E and K and carotenoid intakes (P < 0·05). Concentrations of serum vitamins A and C and carotenoids increased with plain water and food moisture intakes (P < 0·05) but decreased (P < 0·01) or were unrelated to beverage moisture intake.ConclusionsVarious contributors of total water intake differed in their associations with dietary and serum micronutrient profiles in US adults. The study provides evidence of plain water benefits on micronutrient adequacy over beverages.

How to use replicate weights in health survey analysis using the National Nutrition and Physical Activity Survey as an example

2019 ◽  
Vol 22 (18) ◽  
pp. 3315-3326
Author(s):  
Carole L Birrell ◽  
David G Steel ◽  
Marijka J Batterham ◽  
Ankur Arya
Keyword(s):  
Physical Activity ◽  
Health Survey ◽  
Large Scale ◽  
Sample Design ◽  
Sampling Weights ◽  
Complex Sample ◽  
Unbiased Estimates ◽  
Nutrition And Physical Activity ◽  
Activity Survey ◽  
Complex Sample Design

AbstractObjective:To conduct nutrition-related analyses on large-scale health surveys, two aspects of the survey must be incorporated into the analysis: the sampling weights and the sample design; a practice which is not always observed. The present paper compares three analyses: (1) unweighted; (2) weighted but not accounting for the complex sample design; and (3) weighted and accounting for the complex design using replicate weights.Design:Descriptive statistics are computed and a logistic regression investigation of being overweight/obese is conducted using Stata.Setting:Cross-sectional health survey with complex sample design where replicate weights are supplied rather than the variables containing sample design information.Participants:Responding adults from the National Nutrition and Physical Activity Survey (NNPAS) part of the Australian Health Survey (2011–2013).Results:Unweighted analysis produces biased estimates and incorrect estimates of se. Adjusting for the sampling weights gives unbiased estimates but incorrect se estimates. Incorporating both the sampling weights and the sample design results in unbiased estimates and the correct se estimates. This can affect interpretation; for example, the incorrect estimate of the OR for being a current smoker in the unweighted analysis was 1·20 (95 % CI 1·06, 1·37), t= 2·89, P = 0·004, suggesting a statistically significant relationship with being overweight/obese. When the sampling weights and complex sample design are correctly incorporated, the results are no longer statistically significant: OR = 1·06 (95 % CI 0·89, 1·27), t = 0·71, P = 0·480.Conclusions:Correct incorporation of the sampling weights and sample design is crucial for valid inference from survey data.

Eating frequency and weight status in Portuguese children aged 3–9 years: results from the cross-sectional National Food, Nutrition and Physical Activity Survey 2015–2016

2019 ◽  
Vol 22 (15) ◽  
pp. 2793-2802 ◽  
Author(s):  
Sofia Vilela ◽  
Daniela Correia ◽  
Milton Severo ◽  
Andreia Oliveira ◽  
Duarte Torres ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Intake ◽  
Weight Status ◽  
Portuguese Population ◽  
Cross Sectional ◽  
Eating Frequency ◽  
Food Nutrition ◽  
Nutrition And Physical Activity ◽  
Activity Survey ◽  
Main Meals

AbstractObjective:To evaluate daily eating frequency (main meals and snacks) in relation to weight status in children aged 3–9 years, representative of the Portuguese population.Design:Cross-sectional study. Dietary intake was estimated as the mean of two non-consecutive days of food diaries, followed by face-to-face interviews. Weight and height were measured by trained observers. Eating occasions (EO) were defined by the children’s caregiver; an EO was considered separate if the time of consumption was different from other EO and it provided at least 209 kJ (50 kcal). Main meals defined as ‘breakfast’, ‘lunch’ and ‘dinner’ could be selected only once per day. The remaining EO were considered snacks. The association between eating frequency and overweight/obesity was evaluated through logistic regressions weighted for the population distribution.Setting:National Food, Nutrition and Physical Activity Survey of the Portuguese population, 2015–2016.Participants:Portuguese children aged 3–9 years with complete dietary data and anthropometric measurements (n 517).Results:Overall, the number of daily EO ranged from 3·5 to 11, and on average children had 5·7 daily EO. After adjustment for child’s sex, age and total energy intake, and considering only plausible energy intake reporters, having < 3 snacks/d was positively associated with being overweight/obese (OR = 1·98; 95 % CI 1·00, 3·90), compared with having ≥ 3 snacks/d.Conclusions:Lower daily frequency of EO was associated with increased odds of being overweight or obese in children. A higher eating frequency, maintaining the same energy intake, seems to contribute to a healthy body weight in children.

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