Key result
Smartphone app-measured dietary sodium positively correlates with 24-hour urine sodium levels.
Why the study?
Accurate estimation of sodium intake is critical for assessing salt reduction strategies, leading to this evaluation of a smartphone application for dietary sodium measurement.
Does a smartphone application accurately measure dietary sodium intake compared to 24-h urine sodium in adult participants?
Observational (n=46)
Does a smartphone application accurately measure dietary sodium intake compared to 24-h urine sodium in adult participants?
Effect estimate: r = 0.464
p-value: p=< 0.001
A smartphone food-logging application provides dietary sodium intake estimates that correlate significantly with 24-hour urine sodium levels, offering a potential tool for monitoring salt reduction interventions.
Hypothesis-generating for app-based sodium tracking; leaves open clinical adoption pending larger validation studies.
Accurate estimation of sodium intake is a key requirement for evaluating the efficacy of interventional strategies to reduce salt intake. The effectiveness of a smartphone application in measuring dietary sodium intake was assessed. This study included 46 participants who consented to register in Noom’s food-logging program. All participants were followed up for six months from the day of enrollment. The mean age of the participants was 40.2 ± 12.3 years, and 22 (48%) participants were male. The average number of times/weeks the meals were logged was 16.2 ± 10.3. At baseline, the mean 24-h urine sodium was 124.3 mmol/24 h. The mean sodium intake measured by the smartphone application and calculated using the 24-h urine sodium was 2020.9 mg/24 h and 2857.6 mg/24 h, respectively. During the second visit, the mean 24-h urine sodium was 117.4 mmol/24 h. The mean sodium intake measured by the smartphone application and calculated using the 24-h urine sodium was 1456.0 mg/24 h and 2698.3 mg/24 h, respectively. Sodium intake measured using the smartphone application positively correlated with that calculated using the 24-h urine sodium at baseline (r = 0.464; p < 0.001) and follow-up (r = 0.334; p= 0.023). Dietary sodium intake measured using a smartphone application correlated well with that estimated using 24-h urine sodium level.
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Jung et al. (2023) reported an observational. Smartphone application (Noom's food-logging program) vs. 24-h urine sodium was evaluated on Correlation between sodium intake measured by smartphone application and calculated using 24-h urine sodium (r = 0.464, p=< 0.001). Dietary sodium intake measured using a smartphone application positively correlated with 24-h urine sodium at baseline (r = 0.464; p < 0.001) and 6-month follow-up (r = 0.334; p = 0.023).
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