| Literature DB >> 34733496 |
Osama B Albasheer1, Abdullah Hakami2, Abdullah A Al Faqih2, Ibrahim Akkam2, Safwan K Soraihy2, Ahmad Mathary2, Ali A Alharbi2, Mohammed Yaqoub2, Majed A Alotayfi2.
Abstract
Despite the hot climate and high humidity in the Jazan Region of Saudi Arabia, which increases risk for dehydration, no previous studies have assessed awareness of dehydration and fluid intake practice among adults in this region. Therefore, the aim of this cross-sectional study was to determine awareness of the dehydration state and fluid intake practices among 440 adults in the Jazan Region of Saudi Arabia. Out of the total, 51⋅8 % were male and 48⋅2 % were females. Good knowledge of dehydration definition and prevention and recommended minimum water intake was observed in 98, 95 and 75 % of the participants, respectively. Fifty-nine percent of the participants met the minimum daily requirement of 3 l or more per day. The age (95 % CI 1⋅003, 1⋅017, P value = 0⋅006), diabetes (95 % CI 1⋅028, 1⋅459, P value = 0⋅023) and prior hospitalisation due to dehydration (95 % CI 1⋅010, 1⋅378, P value = 0⋅037) were associated with higher water intake. Additional glasses of coffee (95 % CI 1⋅02, 1⋅115, P value = 0⋅004) and juice (95 % CI 1⋅039, 1⋅098, P value < 0⋅001) were associated with more water intake. The participants exhibited good knowledge of dehydration definition, symptoms and consequences. Intake of fluids such as 'juice and coffee' enhances more water intake. Although two-thirds of the participants met the recommended daily water intake, still one-third of them did not meet this level. Innovative approaches to enhance healthy drinking are warranted and may include partnering with patients to take an active role in hydration monitoring and increasing communication with the different healthcare providers.Entities:
Keywords: Dehydration state; Dry skin; Prevention; Renal stones; Thirst; Water intake
Mesh:
Year: 2021 PMID: 34733496 PMCID: PMC8532066 DOI: 10.1017/jns.2021.81
Source DB: PubMed Journal: J Nutr Sci ISSN: 2048-6790
Socio-demographic and diseases profiles of the participants (n = 440)
| Demographic | Number ( | Percentage (%) |
|---|---|---|
| Age (mean, | 32⋅19 | 10⋅17 |
| BMI (mean, | 25⋅28 | 5⋅29 |
| Gender ( | ||
| Male | 228 | 51⋅82 |
| Female | 212 | 48⋅18 |
| Nationality ( | ||
| Saudi | 406 | 92⋅27 |
| Non-Saudi | 34 | 7⋅73 |
| Educational level | ||
| Primary | 17 | 3⋅86 |
| Secondary | 27 | 6⋅14 |
| Diploma | 147 | 33⋅41 |
| University | 249 | 56⋅59 |
| Occupation ( | ||
| Professionals | 206 | 46⋅8 |
| Workers | 86 | 19⋅5 |
| Housewives | 60 | 13⋅6 |
| Students | 76 | 17⋅3 |
| Monthly income SR ( | ||
| <3000 | 199 | 45⋅2 |
| 3000–4900 | 53 | 12 |
| 5000–8999 | 63 | 14⋅3 |
| 9000–14 999 | 93 | 21⋅1 |
| >15 000 | 32 | 7⋅3 |
| Reported chronic diseases | ||
| Diabetes | 56 | 12⋅7 |
| Hypertension | 42 | 9⋅5 |
| Heart diseases | 9 | 2⋅0 |
| Kidney diseases | 25 | 5⋅7 |
| Health-related behaviours | ||
| Smoking | 82 | 18⋅6 |
| Khat chewing | 46 | 10⋅5 |
Knowledge of dehydration definition, prevention, consequences and water intake recommendation
| Question | Selected ( | Not Selected ( |
|---|---|---|
| Knowledge of dehydration definition | ||
| I can become dehydrated if I don't drink enough fluids | 410 (93⋅2 %) | 30 (6⋅8 %) |
| I can become dehydrated if I don't eat properly | 21 (4⋅80 %) | 419 (95⋅2 %) |
| I can become dehydrated if I don't get enough sleep | 8 (1⋅81 %) | 432 (98⋅19 %) |
| I don't know | 1 (0⋅23 %) | 439 (99⋅77 %) |
| Overall knowledge | Good | Poor |
| Knowledge of dehydration prevention | ||
| By drinking enough fluids (water/milk/juice/tea) | 417 (94⋅8 %) | 23 (5⋅2 %) |
| By consuming foods with high water content (e.g. watermelon, oranges, apples, etc.) | 355 (80⋅68 %) | 85 (19⋅31 %) |
| In hot climate, replenish fluids as priority | 355 (80⋅68 %) | 85 (19⋅31 %) |
| Overall knowledge | Good | Poor |
| Knowledge of dehydration consequences | ||
| Kidney stones | 331 (75⋅2 %) | 109 (24⋅8 %) |
| Death | 177 (40⋅2 %) | 263 (59⋅8 %) |
| Brain damage | 113 (25⋅7 %) | 327 (74⋅3 %) |
| Seizure | 76 (17⋅3 %) | 364 (82⋅7 %) |
| Knowledge of water intake recommendation | ||
| 1 l | 41 (9⋅3 %) | 399 (90⋅7 %) |
| 2 l | 133 (30⋅2 %) | 307 (69⋅8 %) |
| 3 l | 197 (44⋅8 %) | 243 (55⋅2 %) |
| 4 l | 69 (15⋅7 %) | 371 (84⋅3 %) |
| Overall knowledge | Good | Poor |
Fig. 1.Reported dehydration causes.
Fig. 2.Reported factors that affect restoring fluid loss.
Fig. 3.Reported symptoms of dehydration.
Predictors of water intake
| Predictors | Incidence Rate Ratio | 95 % confidence limits | |
|---|---|---|---|
| Intercept | 1⋅376 | 1⋅025, 1⋅846 | 0⋅034 |
| Age | 1⋅01 | 1⋅003, 1⋅017 | 0⋅006 |
| Gender (Male | 0⋅24 | 0⋅950, 1⋅227 | 0⋅24 |
| BMI Category (Normal | 1⋅141 | 0⋅957, 1⋅360 | 0⋅142 |
| BMI Category (Overweight | 1⋅101 | 0⋅831, 1⋅458 | 0⋅504 |
| BMI Category (Underweight | 1⋅005 | 0⋅840, 1⋅204 | 0⋅953 |
| Education Level (Primary | 0⋅836 | 0⋅604, 1⋅156 | 0⋅278 |
| Education Level (Diploma | 1⋅128 | 0⋅884, 1⋅439 | 0⋅332 |
| Education Level (Secondary | 0⋅987 | 0⋅865, 1⋅126 | 0⋅848 |
| History of diabetes mellitus (Yes | 1⋅225 | 1⋅028, 1⋅459 | 0⋅023 |
| History of Hypertension (Yes | 1⋅007 | 0⋅815, 1⋅244 | 0⋅949 |
| History of Heart Disease (Yes | 0⋅637 | 0⋅387, 1⋅047 | 0⋅075 |
| History of Kidney Disease (Yes | 1⋅093 | 0⋅854, 1⋅398 | 0⋅48 |
| History of Hospitalisation due to Dehydration (Yes | 1⋅18 | 1⋅010, 1⋅378 | 0⋅037 |
| Coffee Intake | 1⋅067 | 1⋅02, 1⋅115 | 0⋅004 |
| Juice Intake | 1⋅068 | 1⋅039, 1⋅098 | <0⋅001 |
| Tea Intake | 1⋅005 | 0⋅966, 1⋅047 | 0⋅793 |
| Soda Intake | 0⋅956 | 0⋅912, 1⋅002 | 0⋅059 |
P value is based on the Poisson regression model (less than 0⋅05 was used as the cut-off level for statistical significance).