Fluid consumption pattern and hydration among 8–14 years-old children

Bougatsas, Dimitris; Arnaoutis, Giannis; Panagiotakos, Demosthenes B.; Seal, Adam D.; Johnson, Evan C.; Bottin, J.; Tsipouridi, Spiridoula; Kavouras, Stavros A.

doi:10.1038/s41430-017-0012-y

Cited by 26 publications

(31 citation statements)

References 38 publications

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“…The result was similar with the study conducted among young male adults in China [9]. In a study conducted among children, participants with optimal hydration had higher water consumption than hypohydrated participants [34], and the component with water and milk was negatively correlated with urine osmolality [22]. In this study, the contribution of SSBs to total drinking uids among females with middle hydration status was much higher than that among females with optimal hydration.…”

Section: Discussionsupporting

confidence: 87%

“…Though, the contributions of SSBs to total drinking uids in males were not signi cantly different in the three groups, but the proportions were ranging from 8.5-19.1%. It was showed that regular soda and other uids was positively correlated with urine osmolality [22]. Moreover, water including tap or bottled water delivered optimal hydration group without adding calories [35], and lower consumers of water and fruit juices showed a higher risk of hypohydration [34].…”

Section: Discussionmentioning

confidence: 99%

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The Comparison of Water Intake Patterns and Hydration Biomarkers among Young Adults with Different Hydration Statuses in Hebei, China

Zhang

Liu

et al. 2020

Preprint

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Background: Water is essential for maintaining the functions of human body properly. Studies have shown that the amounts and contributions of fluids were associated with health and hydration status. The objectives of the study was that to explore the differences of water intake pattern and hydration biomarkers among young males and females in different hydration statuses.Methods: A cross-sectional study was implemented among 159 young adults aged 18-23 years in Hebei, China. The total drinking fluids and water from food were obtained by 7-day 24-h fluid intake questionnaire and duplicate portion method, respectively. The osmolality and electrolyte concentrations of the 24h urine and plasma were tested. Differences in optimal hydration (OH), middle hydration (MH) and hypohydration (HH) groups, divided by the osmolality of 24h urine, were compared. Results: Totally, 156 participants (80 males and 76 females) completed the study. OH group had highest proportions of participants met the recommendations of TWI (total water intake) and total drinking fluids of China (34.5%, 36.2%), while HH group had lowest (7.7%, 0.0%). OH group had higher amounts of TWI, total drinking fluids, water and lower amounts of SSBs (sugar-sweetened-beverages) (p<0.05). The percentage of total drinking fluids in TWI decreased from 54.1% in OH group to 42.6% in HH group (p<0.05). OH group had higher and lower contributions of water and SSBs (sugar-sweetened-beverages) to total drinking fluids (p<0.05); produced 551~950 mL more, excreted significantly less quantity of solutes of urine (p<0.05). No significant differences were found in plasma osmolality among the three groups (p>0.05). Among both males and females, the amounts of TWI and water were higher in OH group than others (p<0.05). Males had 4.3% lower, 5.4% and 1.1% higher contributions of milk and milk products, SSBs and alcohol to total drinking fluids than females (p<0.05); males had higher volume of urine than females only in MH group (p<0.05). There were no significant differences of plasma osmolality between males and females in the same group (p>0.05). Conclusions: Young adults with optimal hydration status had better water intake pattern and less concentrated urine. Females maybe have better water intake pattern than males.Trial registration: Chinese clinical trial registry. Name of the registry: Relationship of drinking water and urination. Trial registration number: ChiCTR-ROC-17010320. Date of registration: 01/04/2017. URL of trial registry record: http://www.chictr.org.cn/edit.aspx?pid=17601&htm=4.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

The Comparison of Water Intake Patterns and Hydration Biomarkers among Young Adults with Different Hydration Statuses in Hebei, China

Zhang

Liu

et al. 2020

Preprint

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“…Therefore, more interventions should be undertaken to increase the consumptions of milk and milk products. In addition, a study demonstrated that drinking pattern based on water and milk among children was associated with better hydration including lower urine osmolality, while drinking regular soda and other drinks but not water was associated with inferior hydration [58].…”

Section: Discussionmentioning

confidence: 99%

Drinking patterns and hydration biomarkers among young adults with different levels of habitual total drinking fluids intake in Baoding, Hebei Province, China: a cross-sectional study

Zhang

Wang

et al. 2020

BMC Public Health

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Background: The purposes were to investigate the drinking patterns and hydration biomarkers among young adults with different levels of habitual total drinking fluids intake. Methods: A cross-sectional study was conducted among 159 young adults aged 18-23 years in Baoding, China. Total drinking fluids and water from food were assessed by 7-day 24-h fluid intake questionnaire and duplicate portion method, respectively. The osmolality and electrolyte concentrations of the 24 h urine and fasting blood samples were tested. Differences in LD 1 (low drinker), LD 2 , LD 3 and HD (high drinker) groups, stratified according to the quartiles of total drinking fluids, were compared using one-way ANOVA, Kruskal-Wallis H test and chi-square test. Results: A total of 156 participants (80 males and 76 females) completed the study. HD group had greater amounts of TWI (Total Water Intake), water from food, higher and lower contributions of total drinking fluids and water from food to TWI, respectively, than LD 1 , LD 2 and LD 3 groups (p < 0.05). Participants in HD group had higher amounts of water and water from dishes than participants in LD 1 , LD 2 and LD 3 groups (p < 0.05). No significant differences were found in the contributions of different fluids to total drinking fluids within the four groups (p > 0.05). The osmolality of urine was 59-143 mOsm/kg higher in LD 1 than that in LD 2 , LD 3 and HD group (p < 0.05). The percentage of participants in optimal hydration status increased from 12.8% in LD 1 group to 56.4% in HD group (p < 0.05). HD and LD 3 groups had 386~793 higher volumes of urine than that of LD 1 and LD 2 groups (p < 0.05). Differences were found in the concentrations of electrolytes among the four groups (p < 0.05). No significant differences were found in the plasma biomarkers (p > 0.05), with the exception of higher concentration of Mg in LD 3 and HD groups than

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“…Fluid pattern analyses in children and adolescents have been conducted in the USA [30] and Canada [35]. Bougatsas et al identified six clusters [30] including one which was similar to the low drinkers–water and milk cluster.…”

Section: Discussionmentioning

confidence: 99%

“…Fluid intake has been evaluated using multiple regression analysis [19], principal component analysis [30] and a dynamic panel model [31]. Another multivariate technique that can be applied to fluid intake is cluster analysis.…”

Section: Introductionmentioning

confidence: 99%

Fluid intake patterns of children and adolescents: results of six Liq.In7 national cross-sectional surveys

et al. 2018

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PurposeThis study aimed to identify and characterize patterns of fluid intake in children and adolescents from six countries: Argentina, Brazil, China, Indonesia, Mexico and Uruguay.MethodsData on fluid intake volume and type amongst children (4–9 years; N = 1400) and adolescents (10–17 years; N = 1781) were collected using the validated 7-day fluid-specific record (Liq.In7 record). To identify relatively distinct clusters of subjects based on eight fluid types (water, milk and its derivatives, hot beverages, sugar-sweetened beverages (SSB), 100% fruit juices, artificial/non-nutritive sweetened beverages, alcoholic beverages, other beverages), a cluster analysis (partitioning around k-medoids algorithm) was used. Clusters were then characterized according to their socio-demographics and lifestyle indicators.ResultsThe six interpretable clusters identified were: low drinkers–SSB (n 523), low drinkers–water and milk (n 615), medium mixed drinkers (n 914), high drinkers–SSB (n 513), high drinkers–water (n 352) and very high drinkers–water (n 264). Country of residence was the dominant characteristic, followed by socioeconomic level, in all six patterns.ConclusionsThis analysis showed that consumption of water and SSB were the primary drivers of the clusters. In addition to country, socio-demographic and lifestyle factors played a role in determining the characteristics of each cluster. This information highlights the need to target interventions in particular populations aimed at changing fluid intake behavior and improving health in children and adolescents.Electronic supplementary materialThe online version of this article (10.1007/s00394-018-1725-y) contains supplementary material, which is available to authorized users.

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Fluid consumption pattern and hydration among 8–14 years-old children

Abstract: A drinking pattern based on water and milk was associated with better hydration, as indicated by lower urine osmolality, whereas drinking regular soda and other drinks but not water was associated with inferior hydration.

Cited by 26 publications

References 38 publications

The Comparison of Water Intake Patterns and Hydration Biomarkers among Young Adults with Different Hydration Statuses in Hebei, China

The Comparison of Water Intake Patterns and Hydration Biomarkers among Young Adults with Different Hydration Statuses in Hebei, China

Drinking patterns and hydration biomarkers among young adults with different levels of habitual total drinking fluids intake in Baoding, Hebei Province, China: a cross-sectional study

Fluid intake patterns of children and adolescents: results of six Liq.In7 national cross-sectional surveys

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