The amounts and contributions of total drinking fluids and water from food to total water intake of young adults in Baoding, China

Zhang, Jianfen; Zhang, Na; Liang, Shuxin; Wang, Yan; Liu, Shuzhuo; Liu, Shufang; Du, Songming; He, Haibo; Xu, Yifan; Cai, Hao; X, Guo; Ma, Ling; Ma, Guansheng

doi:10.1007/s00394-018-1814-y

Cited by 23 publications

(42 citation statements)

References 49 publications

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“…Men generally have a higher metabolic rate than women at the same age due to the physiological disparity, and hence, the fluid requirements for men are higher than those for women. Several studies in China have reported that males had a higher fluid consumption than females among primary, middle school students [16][17][18], college students [23,33], and adults [13,14]. Our result is in accordance with these findings of China.…”

Section: Discussionsupporting

confidence: 92%

“…The results showed that the median daily fluid intake was 1050 mL, which was lower than the findings of a survey of adults aged 18-55 years in 27 Chinese cities (1214 mL) [14] and a survey among young adults aged 18-23 years in Baoding, China (1135 mL) [33]. These differences may be due to the different climate conditions and characteristics of the study populations.…”

Section: Discussioncontrasting

confidence: 60%

“…The detection of risk factors can be useful for the identification of individuals who may at greater risk of dehydration. The sevenday self-reported method for assessing fluid intake has been validated for accuracy and reliability [47,48], and this method has been widely used in previous studies [13,14,33,45].…”

Section: Discussionmentioning

confidence: 99%

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Risk factor analysis of insufficient fluid intake among urban adults in Wuxi, China: a classification and regression tree analysis

et al. 2020

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Background: Dehydration due to insufficient fluid intake (IFI) is detrimental to health. This cross-sectional study aimed to assess the fluid intake of urban adults in Wuxi, China, and to identify potential risk factors contributing to IFI. Methods: Adults were selected from the urban area of Wuxi, China, using a multiple-stage random sampling method. The fluid intake information was obtained with a 24-h self-reported diary over seven consecutive days in both summer and winter of 2015. A classification and regression tree (CART) analysis was conducted to detect the potential risk factors associated with IFI. CART is a machine-learning algorithm that portions the data into subsets by threshold. Results: A total of 584 adults aged 18-87 years were included. The results showed that the median (P25-P75) values of daily fluid intake of the participants were 1100 (800-1550) mL in summer and 1000 (750-1300) mL in winter. Women had a higher prevalence of IFI than men in both summer (odds ratio (OR) = 2.683, 95% confidence interval (CI): 1.830-3.934) and winter (OR = 2.636, 95% CI: 1.677-4.142). The results of CART analysis showed that, in summer, BMI < 25 kg/m 2 (probability: 64.2%) and age < 64 years (probability: 67.4%) were main risk factors of IFI for men, and BMI < 29 kg/m 2 (probability: 81.6%) and living in C Community (probability: 86.7%) were main risk factors for women. In winter, age < 40 years (probability: 81.8%) and BMI < 20 kg/m 2 (probability: 94.5%) were identified as main risk factors of IFI for men and women, respectively. Conclusions:Most of the participants living in the study site had IFI. The fluid consumption varied by gender, age, location, and BMI. The findings could be useful for the implementation and optimization of intervention programs by identifying the individuals who may at greater risk of dehydration.

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Section: Discussionsupporting

confidence: 92%

Section: Discussioncontrasting

confidence: 60%

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Risk factor analysis of insufficient fluid intake among urban adults in Wuxi, China: a classification and regression tree analysis

et al. 2020

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“…T According to the General standard for beverages of China (GB/T 1-789-2015) [42], all the drinking fluids were classified as below: water (plain water, tap water and bottle water), tea (fermented tea and semifermented tea), milk and milk products (liquid milk, yogurt and other milk products), SSBs (carbonated drinks, sports drinks, sweetened fruit juice, vegetable juice, protein drinks and other sugared drinks), alcohols(wine, beer, liquor, etc.) and other beverages [43].…”

Section: Measurement Of Total Water Intakementioning

confidence: 99%

“…), dishes (vegetables, meat, fish and eggs), porridge (millet porridge and other porridges), soup (tomato egg soup and other soups) and snacks (fruits, nuts, etc.) [43].…”

Section: Measurement Of Total Water Intakementioning

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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Contribution of groundwater to dietary requirements of essential metals in Lagos and Ogun States, Nigeria

Ayedun,

Gbadebo,

Idowu

et al. 2023

Environ Monit Assess

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The amounts and contributions of total drinking fluids and water from food to total water intake of young adults in Baoding, China

Cited by 23 publications

References 49 publications

Risk factor analysis of insufficient fluid intake among urban adults in Wuxi, China: a classification and regression tree analysis

Risk factor analysis of insufficient fluid intake among urban adults in Wuxi, China: a classification and regression tree analysis

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

Contribution of groundwater to dietary requirements of essential metals in Lagos and Ogun States, Nigeria

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