scholarly journals Beverage Consumption among Adults in the Balearic Islands: Association with Total Water and Energy Intake

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1149
Author(s):  
Asli Özen ◽  
Maria Bibiloni ◽  
Cristina Bouzas ◽  
Antoni Pons ◽  
Josep Tur
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Water Intake ◽  
Soft Drinks ◽  
Balearic Islands ◽  
Total Energy Intake ◽  
Total Water ◽  
Beverage Consumption ◽  
The Mean ◽  
Total Water Intake

The paper seeks to describe beverage consumption and examine the association between beverage consumption and total water intake and total energy intake of the adult population in the Balearic Islands. Beverage consumption, total water intake, and total energy intake were obtained by using two 24-h diet recalls from a cross-sectional nutritional survey carried out in the Balearic Islands (n = 1386). The contribution of beverages to total water intake and total energy intake were also assessed. Beverages accounted for 65–71% of total water intake and 29–35% of it provided by drinking water. Food moisture contributed 31–37% of total water intake. The mean daily total water intake from all sources was around 2.2 L for men and 1.9 L for women and slightly lower than the proposed adequate intake (AI) recommendations of the European Food Safety Authority (EFSA). The mean total energy intake was 2222 kcal/day and beverages contributed 10.3% of total energy intake for men and 9.5% for women. Energy intake from beverages varied with age. In both sexes, milk was the main beverage contributed to total energy intake. The energy contribution of caloric soft drinks was 1.8% for men and 1.2% for women and energy intake from these beverages was significantly higher among younger adults. Water was the main beverage in the diet, followed by milk and hot beverages. Beverages were mainly consumed in the main meal times (breakfast, lunch, and dinner) in both sexes. The main findings of this study indicate that consumption of sugar-sweetened beverages (caloric soft drinks and commercial fruit juice) is higher among young adults, consumption of alcoholic beverages is higher among males aged 26 and older, and TWI (total water intake) is lower than the EFSA recommendations. These findings may be used to develop effective, healthy eating and drinking policies and campaigns.

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 Results from a dietary survey in an Indian T2DM population: a STARCH study

BMJ Open ◽  
2014 ◽  
Vol 4 (10) ◽  
pp. e005138 ◽  
Author(s):  
Shashank R Joshi ◽  
Anil Bhansali ◽  
Sarita Bajaj ◽  
Subodh S Banzal ◽  
Mala Dharmalingam ◽  
...  
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Epidemiological Survey ◽  
Total Energy Intake ◽  
Calorie Intake ◽  
Clinical Trial Registry ◽  
Cross Sectional ◽  
Diet Plan ◽  
Registration Number ◽  
The Mean

ObjectiveTo assess the dietary total and complex carbohydrate (CHO) contents in type-2 diabetes mellitus (T2DM) participants in India.SettingWe enrolled 796 participants in this cross-sectional, single-visit, multicentre, two-arm, single-country survey. Participants were enrolled from 10 specialty endocrinology/dialectology centres from five regions of India.ParticipantsA total of 796 participants (Asian) were enrolled in this study (385, T2DM and 409, non-T2DM). Key inclusion criteria—male or female ≥18 years, diagnosed with T2DM ≥12 months (T2DM), and not on any diet plan (non-T2DM).Study outcomePrimary outcome was to find out the percentage of total energy intake as simple and complex CHO from total CHO. Secondary outcomes were to find the differences in percentage of total energy intake as simple CHO, complex CHO, proteins and fats between T2DM and non-T2DM groups. The percentage of T2DM participants adhering to diet plan and showing glycaemic controls were also examined.ResultsThe mean (SD) of total calorie intake per day (Kcal) was 1547 (610, 95% CI 1486 to 1608) and 2132 (1892, 95% CI 1948 to 2316), respectively, for T2DM and non-T2DM groups. In the T2DM group (n=385), the mean (SD) percentage of total energy intake as total CHO, complex CHO and simple CHO was 64.1±8.3 (95% CI 63.3 to 64.9), 57.0±11.0 (95% CI 55.9 to 58.1) and 7.1±10.8 (95% CI 6.0 to 8.2), respectively. The mean (SD) percentage of complex CHO intake from total CHO was 89.5±15.3 (95% CI 88.0 to 91.1). The mean (SD) total protein/fat intake per day (g) was 57.1 (74.0)/37.2 (18.6) and 57.9 (27.2)/55.3 (98.2) in T2DM and non-T2DM groups, respectively.ConclusionsOur study shows that CHO constitutes 64.1% of total energy from diet in T2DM participants, higher than that recommended in India. However, our findings need to be confirmed in a larger epidemiological survey.Trial registration numberNCT01450592 & Clinical Trial Registry of India: CTRI/2012/02/002398.

scholarly journals Contribution of foods consumed away from home to energy intake in Brazilian urban areas: the 2008–9 Nationwide Dietary Survey

2012 ◽  
Vol 109 (7) ◽  
pp. 1276-1283 ◽  
Author(s):  
Ilana Nogueira Bezerra ◽  
Amanda de Moura Souza ◽  
Rosangela Alves Pereira ◽  
Rosely Sichieri
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Food Consumption ◽  
Urban Areas ◽  
Total Energy Intake ◽  
Alcoholic Beverages ◽  
Food Groups ◽  
Dietary Survey ◽  
Home Food ◽  
The Mean

The objectives of the present study were to estimate the dietary contribution of away-from-home food consumption, to describe the contribution of away-from-home foods to energy intake, and to investigate the association between eating away from home and total energy intake in Brazilian urban areas. In the first Brazilian Nationwide Dietary Survey, conducted in 2008–9, food records were collected from 25 753 individuals aged 10 years or older, living in urban areas of Brazil. Foods were grouped into thirty-three food groups, and the mean energy intake provided by away-from-home food consumption was estimated. Linear regression models were used to evaluate the association between away-from-home food consumption and total energy intake. All analyses considered the sample design effect. Of the total population, 43 % consumed at least one food item away from home. The mean energy intake from foods consumed away from home was 1408 kJ (337 kcal), averaging 18 % of total energy intake. Eating away from home was associated with increased total energy intake, except for men in the highest income level. The highest percentage of away-from-home energy sources was for food with a high content of energy, such as alcoholic beverages (59 %), baked and deep-fried snacks (54 %), pizza (42 %), soft drinks (40 %), sandwiches (40 %), and sweets and desserts (30 %). The consumption of foods away from home was related to a greater energy intake. The characterisation of away-from-home food habits is necessary in order to properly design strategies to promote healthy food consumption in the away-from-home environment.

Statistical Evaluation of Total Energy Intake Based on the Number of Food Portions and Body Weight

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Rousset S ◽  
◽  
Médard S ◽  
Fleury G ◽  
Fardet A ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Test Sample ◽  
Normal Weight ◽  
Total Energy Intake ◽  
Validation Dataset ◽  
Linear Regression Models ◽  
The Mean

The evaluation of food intake based on various assessment methods is critical and underreporting is frequent. The aim of the study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight and the number of portions. Energy intake prediction was developed and evaluated for validity using energy expenditure measurements given by the WellBeNet app. A total of 190 volunteers with various BMIs were recruited and assigned either in the train or the test sample. The mean energy provided by a portion was evaluated by linear regression models from the train sample. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each volunteer, by subgroup and for the whole group. The performance of the models was determined using the validation dataset. As the number of portions is the only variable used in the model, the error was 30.7% and 26.5% in the train and test sample. After adding body weight in the model, the error in absolute value decreased to 8.8% and 10.8% for the normal-weight women and men, and 11.7% and 12.8% for the overweight female and male volunteers, respectively. The findings of this study indicate that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake (about 10% of error) after a simple and brief enquiry.

scholarly journals Beverage consumption patterns and energy contribution from beverages per meal type: results from a national dietary survey in Sweden

2018 ◽  
Vol 21 (18) ◽  
pp. 3318-3327 ◽  
Author(s):  
Henrik Scander ◽  
Celia Monteagudo ◽  
Bente Nilsen ◽  
Richard Tellström ◽  
Agneta Yngve
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Adult Population ◽  
Total Energy Intake ◽  
Portion Size ◽  
Dietary Survey ◽  
Beverage Consumption ◽  
Optimal Health ◽  
Meal Time ◽  
Day Of The Week

AbstractObjectiveMany studies of food intake have been performed and published in Sweden, but to our knowledge no studies have extensively explored the beverage consumption of the Swedish adult population. The present study aimed to describe the beverage consumption and the contribution of beverage energy (including alcohol energy) to total energy intake according to gender, region of living, meal type and day for a Swedish adult population.DesignNational dietary survey Riksmaten (2010–2011), collected by the Swedish National Food Agency.SettingSweden.SubjectsA total of 1682 participants (57 % women) reported dietary intake data during four consecutive days, specified by portion size, meal, time point, day of the week and venue. Meals were categorized as breakfast, lunch, dinner and ‘other’.ResultThe beverage reported to be consumed the most was water (ml/d), followed by coffee. Men had a higher consumption of juice, soft drinks, beer, spirits and low-alcohol beer, while the consumption of tea and water was higher for women. For both genders, milk contributed the most to beverage energy intake. Energy percentage from beverages was higher at lunch and dinner during weekends for both genders. Participants from the biggest cities in Sweden had a higher consumption of wine for both genders and tea for men than participants from other regions.ConclusionsA considerable part of total energy intake was contributed by beverages, especially for men. Beverages can contribute to a more enjoyable diet, but at the same time provide energy, sugar and alcohol in amounts that do not promote optimal health.

scholarly journals Drink Choice is Important: Beverages Make a Substantial Contribution to Energy, Sugar, Calcium and Vitamin C Intake among Australians

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1389 ◽  
Author(s):  
Riley ◽  
Hendrie ◽  
Baird
Keyword(s):  
Vitamin C ◽  
Total Energy ◽  
Energy Intake ◽  
Calcium Intake ◽  
Fruit Juice ◽  
Soft Drinks ◽  
Total Energy Intake ◽  
Substantial Contribution ◽  
Sugar Intake ◽  
Alcoholic Drinks

It is important to understand the role of beverages in population dietary intake in order to give relevant advice. Population estimates were derived from one-day food recall dietary data from 12,153 participants in the 2011–2012 Australian National Nutrition and Physical Activity Survey. Almost all Australians (99.9%) consumed at least one beverage on the day of the survey, accounting for 16.6% of the total energy intake for adults (aged 19 years and over) and 13.0% for children (aged 2–18 years). Similarly, beverages contributed 26–29% to calcium intake, 22–28% to vitamin C intake, and 35–36% to sugar intake. Water was consumed on the day of the survey by 84.1% of Australian adults and 90.5% of children. For adults, the greatest beverage contributors to total energy intake were alcoholic drinks (5.6%), coffee (3.1%), and soft drinks (1.9%), and for children, plain milk (3.1%), flavoured milk (2.8%), and fruit juice (2.6%). Coffee (10.6%) made the greatest contribution to calcium intake for adults; and plain milk (9.9%) and flavoured milk (7.6%) for children. The greatest contributors to vitamin C intake were fruit juice (13.4%) and alcoholic drinks (6.1%) for adults; and fruit juice (23.4%) for children. For total sugar intake, soft drinks (8.0%), coffee (8.4%), and fruit juice (5.9%) made the highest contribution for adults; and fruit juice (9.8%) and soft drinks (8.7%) for children. The type and amount of beverage consumption has considerable relevance to dietary quality for Australians.

scholarly journals Sugar sweetened beverage consumption during pregnancy is associated with lower diet quality and greater total energy intake

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0215686 ◽  
Author(s):  
Ryan J. Gamba ◽  
Cindy W. Leung ◽  
Lucia Petito ◽  
Barbara Abrams ◽  
Barbara A. Laraia
Keyword(s):  
Total Energy ◽  
Energy Intake ◽  
Diet Quality ◽  
Total Energy Intake ◽  
Sugar Sweetened Beverage ◽  
Beverage Consumption ◽  
Sweetened Beverage
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