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智能手机应用程序在测量膳食钠摄入量中的效果。

Effectiveness of a Smartphone Application for Dietary Sodium Intake Measurement.

机构信息

Department of Internal Medicine, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.

Division of Nephrology, Department of Internal Medicine, Asan Medical Center, Seoul 05505, Republic of Korea.

出版信息

Nutrients. 2023 Aug 16;15(16):3590. doi: 10.3390/nu15163590.

DOI:10.3390/nu15163590
PMID:37630780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10459655/
Abstract

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 ( = 0.464; < 0.001) and follow-up ( = 0.334; = 0.023). Dietary sodium intake measured using a smartphone application correlated well with that estimated using 24-h urine sodium level.

摘要

准确估计钠摄入量是评估减少盐摄入量的干预策略效果的关键要求。评估了智能手机应用程序测量膳食钠摄入量的有效性。这项研究包括 46 名同意在 Noom 的饮食记录计划中注册的参与者。所有参与者从登记之日起随访六个月。参与者的平均年龄为 40.2 ± 12.3 岁,22 名(48%)参与者为男性。记录餐数的平均次数/周为 16.2 ± 10.3。基线时,平均 24 小时尿钠为 124.3 mmol/24 h。智能手机应用程序测量和使用 24 小时尿钠计算的平均钠摄入量分别为 2020.9 mg/24 h 和 2857.6 mg/24 h。第二次就诊时,平均 24 小时尿钠为 117.4 mmol/24 h。智能手机应用程序测量和使用 24 小时尿钠计算的平均钠摄入量分别为 1456.0 mg/24 h 和 2698.3 mg/24 h。基线时( = 0.464; < 0.001)和随访时( = 0.334; = 0.023),智能手机应用程序测量的钠摄入量与使用 24 小时尿钠计算的钠摄入量呈正相关。使用智能手机应用程序测量的膳食钠摄入量与使用 24 小时尿钠水平估计的摄入量密切相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/04017de6be66/nutrients-15-03590-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/5324c5655c13/nutrients-15-03590-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/a2f6b0e4b824/nutrients-15-03590-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/26fd883a4581/nutrients-15-03590-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/04017de6be66/nutrients-15-03590-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/5324c5655c13/nutrients-15-03590-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/a2f6b0e4b824/nutrients-15-03590-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/26fd883a4581/nutrients-15-03590-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eff/10459655/04017de6be66/nutrients-15-03590-g004.jpg

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