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Total water intake is seldom reported in dietary surveys and hydration status is rarely measured. Although adequate intake (AI) levels have been suggested by the European Food Safety Authority, the World Health Organization and the Institute of Medicine, uncertainties and confused messages abound regarding optimum intake. This paper reviews data on water intake internationally and examines associations with beverage consumption habits of adults in the UK, as determined from secondary analysis of individual diet records. On average, total water intake among British adults was equivalent to the European AI (2 l/day for women, 2.5 l/day for men) and 75% of this was derived from beverages. Factors that correlated with high total water intake included the consumption of a variety of beverages and drinking in the evening. Total water intake (and the contribution from soft drinks) is markedly higher in the USA than in Europe. Beverage consumption habits and trends were also reviewed. In the past 10 years, water beverages have become more popular and as such the overall energy contribution from beverages has declined slightly. Most people could be encouraged to drink a variety of beverages to maintain adequate hydration and to balance the energy content according to their needs. However, further work is needed to refine recommendations for water intake, as basing these on observational epidemiological data is essentially a circular argument. A standardized measurement tool, validated against biomarkers of hydration status, would be a step forward in assessing the adequacy of water intakes at a population level. Research may also be warranted to explore the context of drinking occasions (including time of day, weekdays weekends, lifestyle and meal patterns) as these may have an impact on water intake, hydration and also energy balance. [ABSTRACT FROM AUTHOR]

Background: Obesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified. Methods: Data were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups. Results: In 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m², and 46.0 % were overweight (BMI ≥25 kg/m²). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density. Conclusion: Sedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity. [ABSTRACT FROM AUTHOR]