Modeling the relationship between body weight and energy intake: A molecular diffusion-based approach

Gong, Zhejun; Gong, Zhefeng

doi:10.1186/1745-6150-7-19

Cited by 6 publications

(3 citation statements)

References 17 publications

(19 reference statements)

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“…This is evidenced by the fact that even when meticulously keeping records of food intake, individuals still find it hard to lose weight [13]. This is because the relationship between caloric intake and weight loss is not linear [14]. As a result, current approaches to lose weight loss generally do not work well [15], and the weight loss market is missing a device that is more directly coupled to the desired outcome, weight loss.…”

Section: Introductionmentioning

confidence: 99%

Towards personalised molecular feedback for weight loss

et al. 2019

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Background Numerous diets, apps and websites help guide and monitor dietary behaviour with the goal of losing weight, yet dieting success is highly dependent on personal preferences and circumstances. To enable a more quantitative approach to dieting, we developed an integrated platform that allows tracking of life-style information alongside molecular biofeedback measurements (lactate and insulin). Methods To facilitate weight loss, participants (≥18 years) omitted one main meal from the usual three-meal routine. Daily caloric intake was restricted to ~1200KCal with one optional snack ≤250KCal. A mobile health platform ( personalhealth.warwick.ac.uk ) was developed and used to maintain diaries of food intake, weight, urine collection and volume. A survey was conducted to understand participants’ willingness to collect samples, motivation for taking part in the study and reasons for dropout. Results Meal skipping resulted in weight loss after a 24 h period in contrast to 3-meal control days regardless of the meal that was skipped, breakfast, lunch or dinner ( p < 0.001). Common reasons for engagement were interest in losing weight and personal metabolic profile. Total insulin and lactate values varied significantly between healthy and obese individuals at p = 0.01 and 0.05 respectively. Conclusion In a proof of concept study with a meal-skipping diet, we show that insulin and lactate values in urine correlate with weight loss, making these molecules potential candidates for quantitative feedback on food intake behaviour to people dieting. Electronic supplementary material The online version of this article (10.1186/s40608-019-0237-5) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Towards personalised molecular feedback for weight loss

et al. 2019

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“…Hence, we used body weight to adjust for energy intake among participants. Previous studies have confirmed the association between energy intake and change in body weight [40,41]. Energy adjusted was calculated using the FFQ value [portion(s)/month] divided by body weight [kg].…”

Section: Discussionmentioning

confidence: 99%

Dietary Patterns of 479 Indonesian Adults and Their Associations with Sodium and Potassium Intakes Estimated by Two 24-h Urine Collections

et al. 2022

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The excess sodium (Na) intake and insufficient potassium (K) intake are frequently observed all over the world, including Indonesia. This study explored the dietary patterns of Indonesian people and evaluated their associations with Na and K intakes. Na and K intakes were assessed by repeated 24-h urine collection. The dietary patterns of the previous month were extracted by factor analysis using the Indonesian Food Frequency Questionnaire. The participants were community-dwelling Indonesian men and women (n = 479) aged 20 years and over. We identified four dietary patterns in each sex. After controlling for confounding factors, the high quantile of ‘Noodle, oil, and salty sea products’ pattern was associated with the high Na intake in both men and women (p = 0.02 and <0.001, respectively). The ‘Meat, vegetable, oil, and fruit’ pattern statistically significantly contributed to the high K intake in men (p = 0.04), but not in women (p = 0.26). The ‘Vegetable, non-oil, and milk’ pattern in men and ‘Meat, vegetable, and fruit’ pattern in women were associated with low Na:K ratios (p = 0.03 and 0.01, respectively). Neither ‘bread’ nor ‘fish’ appeared as a major determinant of any dietary patterns in this population. The ‘Noodle, oil, and salty sea products’ pattern should be avoided to reduce sodium intake.

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“…However, achieving weight loss is hard work and failure is demoralising. Technology supported devices allow to record calorie consumption but relationship no direct link to weight loss (3) . There is a need of a devise that could be more directly linked to weight loss.…”

mentioning

confidence: 99%