| Literature DB >> 28341683 |
Wai H Lim1,2, Germaine Wong3,4, Joshua R Lewis1,3, Charmaine E Lok5, Kevan R Polkinghorne6,7,8, Jonathan Hodgson1,9, Ee M Lim10, Richard L Prince1,11.
Abstract
OBJECTIVES: The health benefits of 'drinking at least 8 glasses of water a day" in healthy individuals are largely unproven. We aimed to examine the relationship between total fluid and the sources of fluid consumption, risk of rapid renal decline, cardiovascular disease (CVD) mortality and all-cause mortality in elderly women. DESIGN, SETTING AND PARTICIPANTS: We conducted a longitudinal analysis of a population-based cohort study of 1055 women aged ≥70 years residing in Australia. MAIN OUTCOME MEASURES: The associations between total daily fluid intake (defined as total volume of beverage excluding alcohol and milk) and the types of fluid (water, black tea, coffee, milk and other fluids) measured as cups per day and rapid renal decline, CVD and all-cause mortality were assessed using adjusted logistic and Cox regression analyses.Entities:
Keywords: EPIDEMIOLOGY; elderly; fluid intake; mortality; tea
Mesh:
Substances:
Year: 2017 PMID: 28341683 PMCID: PMC5372039 DOI: 10.1136/bmjopen-2016-011720
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Baseline characteristics of participants
| Cohort (n=1055) | |
|---|---|
| Patient characteristics | |
| Age (years in 2003, mean±SD) | 80.0±2.6 |
| Body mass index at entry (kg/m², mean±SD) | 27.2±4.5 |
| Body mass index at 60 m (kg/m², mean±SD) | 27.2±4.7 |
| Systolic blood pressure | 137.8±18.1 |
| Diastolic blood pressure (mm Hg, mean±SD) | 73.1±10.9 |
| Previous and current smokers (n, %) | 375 (35.6) |
| Diabetes (n, %) | 53 (5.0) |
| Prevalent acute/chronic kidney disease (n, %) | 0 (0.0) |
| Prevalent cardiovascular | 227 (21.5) |
| Socioeconomic status (n, %)* | |
| Top 10% most highly disadvantaged | 42 (4.0) |
| Highly disadvantaged | 126 (11.9) |
| High–medium disadvantaged | 172 (16.3) |
| Medium–low disadvantaged | 162 (15.4) |
| Low disadvantaged | 213 (20.2) |
| Top 10% least disadvantaged | 333 (31.6) |
| Medication use (n, %) | |
| Aspirin | 194 (18.4) |
| Statin | 198 (18.8) |
| Treatment with calcium supplements (n, %) | 536 (50.8) |
| Total and type of fluid composition in cups/day (median, IQR) | |
| Total fluid | 10.4 (8.5–12.5) |
| Water | 4 (2–6) |
| Black tea | 3 (1–4) |
| Coffee | 1 (0–2) |
| Milk | 1.5 (0.8–1.5) |
| Other fluids | 0.4 (0–1) |
Data expressed as number (percentage), mean±SD or as median (IQR).
*Missing socioeconomic status (n=7).
Clinical outcomes of participants
| Cohort (n=1055) | |
|---|---|
| Outcomes | |
| eGFR 2003 (n=1055; mL/min/1.73 m², mean±SD) | 57.2±14.7 |
| eGFR 2008 (n=689; mL/min/1.73 m², mean±SD) | 55.4±16.1 |
| Change eGFR 2003–2008 (mL/min/1.73 m², mean±SD) | −2.3±10.5 |
| Rapid renal decline 2003–2008 (n, %) | 70 (6.6) |
| CVD deaths 2003–2013 (n, %) | 142 (13.5) |
| Deaths 2003–2013 (n, %) | 362 (34.3) |
Data expressed as number (percentage) or as mean±SD.
CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate.
Figure 1Forest plots showing the association between total fluid consumption (every one cup higher intake per day), other covariates and risk of CVD and all-cause mortality in the adjusted Cox regression models. CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate.
Figure 2Forest plots showing the association between types of fluid consumption (every one cup higher intake per day), including water, black tea, coffee, milk and other fluids and risk of CVD and all-cause mortality, adjusted for age, blood pressure, prevalent CVD, diabetes and eGFR. CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate.