Megan E Rollo, Janelle L Windus, Samantha J Stewart, Connor T Dodd, Marc T P Adam, Kerith Duncanson, Tracy L Burrows, Kim Colyvas, Clare E Collins
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In low- and lower-middle-income countries, proxy measures of individual intake (household consumption and expenditure surveys and food balance sheets) are often used, with limited implementation of new technology-assisted applications.</p><p><strong>Objective: </strong>We aimed to determine the relative validity, test-retest reliability, and acceptability of the Voice-Image Solution for Individual Dietary Assessment (VISIDA) system in a sample of Cambodian women and their children aged ≤5 years.</p><p><strong>Methods: </strong>Mothers and one of their children were recruited from 3 locations (rural, semirural, and urban) in Siem Reap province, Cambodia. Dietary intake data were collected for each participant using 2 methods across 3 recording periods over approximately 4 weeks. In week 1, intake was recorded using VISIDA for 3 nonconsecutive days, followed by 3 interviewer-administered, multiple-pass 24-hour recalls collected in weeks 2 to 3. In week 4, VISIDA was used again to collect a 3-day food record. After the third intake recording period, the mothers completed a feedback survey. Differences in estimated nutrient intakes for the 3 recording periods for mothers and children were examined using a linear mixed model approach.</p><p><strong>Results: </strong>The analysis included 210 participants (n=119, 56.7% mothers and n=91, 43.3% children). Estimated mean nutrient intakes reported in both VISIDA recording periods were mostly lower compared to intakes reported using the 24-hour recalls. Compared to the 24-hour recalls, statistically significant differences were found for the VISIDA recording periods for 80% (16/20) of nutrients for mothers and 32% (6/19) of nutrients for children. Nutrient intakes estimated from both VISIDA recording periods showed no statistically significant differences for mothers and children. For mothers, the differences of model weighted marginal means in energy intakes (kcal) were -296 (95% CI -410 to -181; VISIDA period 1 minus 24-h recall), -274 (95% CI -390 to -158; VISIDA period 2 minus 24-h recall), and -22 (95% CI -131 to 87; VISIDA period 1 minus VISIDA period 2). For children, the differences in model weighted marginal means in energy intakes (kcal) were -158 (95% CI -227 to -89; VISIDA period 1 minus 24-h recall), -127 (95% CI -198 to -57; VISIDA period 2 minus 24-h recall), and -31 (95% CI -98 to 37; VISIDA period 1 minus VISIDA period 2). Most mothers reported that the VISIDA smartphone app was \"easy to use\" (68/108, 63%) or \"very easy to use\" (23/108, 21.3%) for collecting dietary intake data.</p><p><strong>Conclusions: </strong>The VISIDA system produced lower estimates of nutrient intakes when compared to the 24-hour recalls in a sample of mothers and children in Siem Reap province, Cambodia. However, the estimated nutrient intakes for the 2 VISIDA recording periods were similar. The participating mothers reported high acceptability for using the VISIDA smartphone app to collect intake data.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e65939"},"PeriodicalIF":6.0000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12489410/pdf/","citationCount":"0","resultStr":"{\"title\":\"An Image-Voice Dietary Assessment System for Estimating Individual Nutrient Intakes in Cambodian Women and Children: Relative Validity, Reliability, and Acceptability Study.\",\"authors\":\"Megan E Rollo, Janelle L Windus, Samantha J Stewart, Connor T Dodd, Marc T P Adam, Kerith Duncanson, Tracy L Burrows, Kim Colyvas, Clare E Collins\",\"doi\":\"10.2196/65939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Individual-level dietary intake data are fundamental for developing nutrition policy and programs. 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In week 4, VISIDA was used again to collect a 3-day food record. After the third intake recording period, the mothers completed a feedback survey. Differences in estimated nutrient intakes for the 3 recording periods for mothers and children were examined using a linear mixed model approach.</p><p><strong>Results: </strong>The analysis included 210 participants (n=119, 56.7% mothers and n=91, 43.3% children). Estimated mean nutrient intakes reported in both VISIDA recording periods were mostly lower compared to intakes reported using the 24-hour recalls. Compared to the 24-hour recalls, statistically significant differences were found for the VISIDA recording periods for 80% (16/20) of nutrients for mothers and 32% (6/19) of nutrients for children. Nutrient intakes estimated from both VISIDA recording periods showed no statistically significant differences for mothers and children. For mothers, the differences of model weighted marginal means in energy intakes (kcal) were -296 (95% CI -410 to -181; VISIDA period 1 minus 24-h recall), -274 (95% CI -390 to -158; VISIDA period 2 minus 24-h recall), and -22 (95% CI -131 to 87; VISIDA period 1 minus VISIDA period 2). For children, the differences in model weighted marginal means in energy intakes (kcal) were -158 (95% CI -227 to -89; VISIDA period 1 minus 24-h recall), -127 (95% CI -198 to -57; VISIDA period 2 minus 24-h recall), and -31 (95% CI -98 to 37; VISIDA period 1 minus VISIDA period 2). Most mothers reported that the VISIDA smartphone app was \\\"easy to use\\\" (68/108, 63%) or \\\"very easy to use\\\" (23/108, 21.3%) for collecting dietary intake data.</p><p><strong>Conclusions: </strong>The VISIDA system produced lower estimates of nutrient intakes when compared to the 24-hour recalls in a sample of mothers and children in Siem Reap province, Cambodia. 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引用次数: 0
摘要
背景:个人水平的膳食摄入量数据是制定营养政策和计划的基础。在低收入和中低收入国家,经常使用个人摄入量的替代措施(家庭消费和支出调查以及粮食资产负债表),新技术辅助应用的实施有限。目的:我们的目的是确定语音图像解决方案的个人饮食评估(VISIDA)系统的相对效度,重测信度和可接受性在柬埔寨妇女及其年龄≤5岁的孩子的样本。方法:从柬埔寨暹粒省3个地点(农村、半农村和城市)招募母亲和她们的一个孩子。在大约4周的时间里,通过两种方法收集了每个参与者的饮食摄入数据。在第1周,使用VISIDA记录了非连续3天的摄入量,随后在第2至3周进行了3次访谈者管理的多次24小时召回。在第4周,再次使用VISIDA收集3天的食物记录。在第三个摄食记录期后,母亲们完成了一项反馈调查。使用线性混合模型方法检查了3个记录期间母亲和儿童估计营养摄入量的差异。结果:共纳入210名参与者(n=119,占56.7%的母亲和n=91,占43.3%的儿童)。在两个VISIDA记录期间报告的估计平均营养素摄入量大多低于使用24小时召回报告的摄入量。与24小时召回相比,在VISIDA记录期间,80%(16/20)的母亲营养物质和32%(6/19)的儿童营养物质的差异具有统计学意义。从两个VISIDA记录期估计的营养摄入量在母亲和儿童之间没有统计学上的显著差异。对于母亲,能量摄入(kcal)的模型加权边际均值的差异为-296 (95% CI -410至-181;VISIDA第1期减去24小时回忆),-274 (95% CI -390至-158;VISIDA第2期减去24小时回忆)和-22 (95% CI -131至87;VISIDA第1期减去VISIDA第2期)。对于儿童,能量摄入(kcal)的模型加权边际均值的差异为-158 (95% CI -227至-89;VISIDA第一期减去24小时回忆),-127 (95% CI -198至-57;VISIDA第二期减去24小时回忆)和-31 (95% CI -98至37;VISIDA第一期减去VISIDA第二期)。大多数母亲报告说,VISIDA智能手机应用程序在收集饮食摄入数据方面“易于使用”(68/ 108,63%)或“非常易于使用”(23/ 108,21.3%)。结论:与柬埔寨暹粒省母亲和儿童的24小时召回样本相比,VISIDA系统产生的营养摄入量估计较低。然而,两个VISIDA记录时期的估计营养摄入量是相似的。参与调查的母亲报告说,使用VISIDA智能手机应用程序收集摄入数据的接受度很高。
An Image-Voice Dietary Assessment System for Estimating Individual Nutrient Intakes in Cambodian Women and Children: Relative Validity, Reliability, and Acceptability Study.
Background: Individual-level dietary intake data are fundamental for developing nutrition policy and programs. In low- and lower-middle-income countries, proxy measures of individual intake (household consumption and expenditure surveys and food balance sheets) are often used, with limited implementation of new technology-assisted applications.
Objective: We aimed to determine the relative validity, test-retest reliability, and acceptability of the Voice-Image Solution for Individual Dietary Assessment (VISIDA) system in a sample of Cambodian women and their children aged ≤5 years.
Methods: Mothers and one of their children were recruited from 3 locations (rural, semirural, and urban) in Siem Reap province, Cambodia. Dietary intake data were collected for each participant using 2 methods across 3 recording periods over approximately 4 weeks. In week 1, intake was recorded using VISIDA for 3 nonconsecutive days, followed by 3 interviewer-administered, multiple-pass 24-hour recalls collected in weeks 2 to 3. In week 4, VISIDA was used again to collect a 3-day food record. After the third intake recording period, the mothers completed a feedback survey. Differences in estimated nutrient intakes for the 3 recording periods for mothers and children were examined using a linear mixed model approach.
Results: The analysis included 210 participants (n=119, 56.7% mothers and n=91, 43.3% children). Estimated mean nutrient intakes reported in both VISIDA recording periods were mostly lower compared to intakes reported using the 24-hour recalls. Compared to the 24-hour recalls, statistically significant differences were found for the VISIDA recording periods for 80% (16/20) of nutrients for mothers and 32% (6/19) of nutrients for children. Nutrient intakes estimated from both VISIDA recording periods showed no statistically significant differences for mothers and children. For mothers, the differences of model weighted marginal means in energy intakes (kcal) were -296 (95% CI -410 to -181; VISIDA period 1 minus 24-h recall), -274 (95% CI -390 to -158; VISIDA period 2 minus 24-h recall), and -22 (95% CI -131 to 87; VISIDA period 1 minus VISIDA period 2). For children, the differences in model weighted marginal means in energy intakes (kcal) were -158 (95% CI -227 to -89; VISIDA period 1 minus 24-h recall), -127 (95% CI -198 to -57; VISIDA period 2 minus 24-h recall), and -31 (95% CI -98 to 37; VISIDA period 1 minus VISIDA period 2). Most mothers reported that the VISIDA smartphone app was "easy to use" (68/108, 63%) or "very easy to use" (23/108, 21.3%) for collecting dietary intake data.
Conclusions: The VISIDA system produced lower estimates of nutrient intakes when compared to the 24-hour recalls in a sample of mothers and children in Siem Reap province, Cambodia. However, the estimated nutrient intakes for the 2 VISIDA recording periods were similar. The participating mothers reported high acceptability for using the VISIDA smartphone app to collect intake data.
期刊介绍:
The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades.
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