Evaluating the Impact of a Digital Nutrition Platform on Cholesterol Levels in Users With Dyslipidemia: Longitudinal Study

Hu, Emily; Scharen, Jared; Nguyen, Viet; Langheier, Jason

doi:10.2196/28392

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…People would potentially experience metabolic syndrome along with the aging process [43]. Besides, people who suffering dyslipidemia were likely in the older ages and men gendered [44]. A study mentioned that hypercholesterolemia was more common in men instead of women [45].…”

Section: Resultsmentioning

confidence: 99%

Blood cholesterol and its related factors among Indonesian blood donors

Nuari

2023

IJPHS

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Blood donation nowadays were considered to improve health status of the donors by declining human’s cholesterol level. The high level of cholesterol inside the blood bags influenced the blood quality. However, there was limited data about cholesterol level and its influencing factor on the blood donors. This cross-sectional study aimed to analyse the associated factors of cholesterol levels in blood donors. This study involved 120 respondents using the purposive sampling as sampling method. Data was collected using questionnaires and blood cholesterol examination. The obtained data was analysed using univariate and bivariate statistic tests with significance level α=0.05. This study found that the majority of respondents aged 35-45 years (60.8%) and male (60.8%). More than half respondents were routine to donate their blood. Although they consumed cholesterol foods, their cholesterol level remained normal (88.3%). This study also found that blood donation had an association with cholesterol level p=0.000, while the other variables did not show any relationship. The normal cholesterol level among blood donors was influenced by frequent blood donation. Further study needs to be explored about the activities and the foods type to identify the cholesterol level among blood donors.

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Section: Resultsmentioning

confidence: 99%

Blood cholesterol and its related factors among Indonesian blood donors

Nuari

2023

IJPHS

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“…Two studies reported on the effectiveness of nutrition-only platforms. In one, the effect of a digital nutritional tracking and meal planning platform on lipid markers in individuals with dyslipidemia was assessed, showing improvement in all parameters [ 41 ]. In the second study, a mixture of online and offline engagement was used, with participants who underwent the complete prevention program showing improved cholesterol levels [ 42 ].…”

Section: Discussionmentioning

confidence: 99%

Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort

Forte¹,

Gannamani²,

Folkertsma³

et al. 2022

JMIR Cardio

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Background Despite widespread education, many individuals fail to follow basic health behaviors such as consuming a healthy diet and exercising. Positive changes in lifestyle habits are associated with improvements in multiple cardiometabolic health risk factors, including lipid levels. Digital lifestyle interventions have been suggested as a viable complement or potential alternative to conventional health behavior change strategies. However, the benefit of digital preventive interventions for lipid levels in a preventive health context remains unclear. Objective This observational study aimed to determine how the levels of lipids, namely total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, non-HDL cholesterol, and triglycerides, changed over time in a Dutch general population cohort undergoing a digital preventive health program. Moreover, we looked to establish associations between lifestyle factors at baseline and lipid levels. Methods We included 348 adults from the Dutch general population who underwent a digitally enabled preventive health program at Ancora Health between January 2020 and October 2021. Upon enrollment, participants underwent a baseline assessment involving a comprehensive lifestyle questionnaire, a blood biochemistry panel, physical measurements, and cardiopulmonary fitness measurements. Thereafter, users underwent a lifestyle coaching program and could access the digital application to register and track health behaviors, weight, and anthropometric data at any time. Lipid levels were categorized as normal, elevated, high, and clinical dyslipidemia according to accepted international standards. If at least one lipid marker was high or HDL was low, participants received specific coaching and advice for cardiometabolic health. We retrospectively analyzed the mean and percentage changes in lipid markers in users who were remeasured after a cardiometabolic health–focused intervention, and studied the association between baseline user lifestyle characteristics and having normal lipid levels. Results In our cohort, 199 (57.2%) participants had dyslipidemia at baseline, of which 104 participants were advised to follow a cardiometabolic health–focused intervention. Eating more amounts of favorable food groups and being more active were associated with normal lipid profiles. Among the participants who underwent remeasurement 9 months after intervention completion, 57% (17/30), 61% (19/31), 56% (15/27), 82% (9/11), and 100% (8/8) showed improvements at remeasurement for total, LDL, HDL, and non-HDL cholesterol, and triglycerides, respectively. Moreover, between 35.3% and 77.8% showed a return to normal levels. In those with high lipid levels at baseline, total cholesterol decreased by 0.5 mmol/L (7.5%), LDL cholesterol decreased by 0.39 mmol/L (10.0%), non-HDL cholesterol decreased by 0.44 mmol/L (8.3%), triglycerides decreased by 0.97 mmol/L (32.0%), and HDL increased by 0.17 mmol/L (15.6%), after the intervention. Conclusions A cardiometabolic screening program in a general population cohort identified a significant portion of individuals with subclinical and clinical lipid levels. Individuals who, after screening, actively engaged in a cardiometabolic health–focused lifestyle program improved their lipid levels.

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“…The platform also allows users to use SNAP benefits to purchase foods online. Previous research on Foodsmart found improvements in clinical metrics, such as weight, lipid levels, and hemoglobin A 1c , among users with obesity, dyslipidemia, and diabetes, respectively, suggesting clinical benefits of the platform [14][15][16][17].…”

Section: Introductionmentioning

confidence: 93%

Changes in Food Insecurity Among Individuals Using a Telehealth and Nutrition Platform: Longitudinal Study

Bakre¹,

Shea²,

Ortega³

et al. 2022

JMIR Form Res

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Background Food insecurity is a complex public health problem affecting many individuals in the United States. Digital health interventions that promote behavior change and provide access to affordable and healthy food may help to alleviate food insecurity. Objective The aim of this study was to characterize food-insecure users of Foodsmart, a telehealth and nutrition platform with meal planning, food ordering, nutrition education, budgeting, and grocery discount features, and to evaluate changes in diet and food insecurity. Methods We retrospectively analyzed data collected from 4595 adults who used the Foodsmart platform between February and October 2021. Participants self-reported their diet, demographics, biometrics, and food insecurity status in a 56-item questionnaire. Participants were reported to be food insecure if they answered “sometimes” or “often” to the question “How often does the food you buy not last and you don't have money to get more?” from the United States Department of Agriculture’s Household Food Security survey. We examined baseline characteristics of participants by food insecurity status, associations between characteristics and baseline food insecurity, and changes in diet quality and food insecurity status. To evaluate potential causes of reversing food insecurity, the use of 6 Foodsmart features was compared between food-insecure participants who achieved food security versus food-insecure participants who remained food insecure, based on their last response to the food insecurity question. Results We found that 16% (742/4595) of participants were food insecure at baseline. Participants who were food insecure at baseline were more likely to be obese, to have at least one chronic condition, to have a lower diet quality, to cook less frequently at home, to think healthy food is too expensive, and less likely to order takeout or eat at a restaurant. Among participants who were food insecure at baseline, 61% (451/742) improved their nutrition and 29% (217/742) responded that they were food secure at follow-up, with an increasing percentage achieving food security with longer enrollment time. Using a multivariable logistic regression model, we found that age, diabetes, prediabetes, BMI categories, and diet quality at baseline were statistically significantly associated with the likelihood of being food insecure at baseline. Among those who were food insecure at baseline, there was a higher relative proportion of participants who achieved food security and used the “deals” (28.6% higher), “CookItNow” (36.4% higher), and “telenutrition” (27.5% higher) features compared to those who remained food insecure. Conclusions This study assesses the characteristics of individuals enrolled on the Foodsmart platform who answered the food insecurity question. We found that a significant number of participants who were food insecure at enrollment achieved food security. This finding shows that telehealth and nutrition platforms may potentially help users improve household food security.

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Evaluating the Impact of a Digital Nutrition Platform on Cholesterol Levels in Users With Dyslipidemia: Longitudinal Study

Cited by 6 publications

References 31 publications

Blood cholesterol and its related factors among Indonesian blood donors

Blood cholesterol and its related factors among Indonesian blood donors

Changes in Blood Lipid Levels After a Digitally Enabled Cardiometabolic Preventive Health Program: Pre-Post Study in an Adult Dutch General Population Cohort

Changes in Food Insecurity Among Individuals Using a Telehealth and Nutrition Platform: Longitudinal Study

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