Low protein intake might speed up age-related loss of lean mass and bodily perform. We investigated prevalence of low protein intake (<1.zero g/kg/day) and the associations between dietary patterns, key modifiable risk components and low protein intake in self-reliant community-dwelling adults ≥ 80 years. This cross-sectional study consisted of two home-visits.
Data assortment consisted of bodily measurements (bodily perform, weight, top, bodily exercise) and self-report of dietary intake (4-day meals information), urge for food, consuming signs, dysphagia, dental standing, medical circumstances, ache and residing standing. Binary analyses have been carried out to match individuals with low and regular protein intake.
Multiple logistic regression analyses have been carried out to research associations between low protein intake, dietary patterns and modifiable risk components adjusted for age, intercourse, BMI-categories and ailments. N=126 have been included in the study from January 2017 to August 2018. Prevalence of low protein intake was 54%. A higher day-to-day variation in protein intake was related with low protein intake (adjusted OR 2.5 CI: 1.14-5.48). Participants with low protein intake had a larger prevalence of nausea, diarrhoea and mouth dryness. Reduced urge for food, mouth dryness and ache elevated odds of low protein intake (adjusted OR 3.06 CI: 1.23-7.63, OR 3.41 CI:1.51-7.7, OR 1.54 CI:1.00-2.36, respectively).
There was a excessive prevalence of low protein intake in community-dwelling adults ≥ 80-years. Day-to-day variability, diminished urge for food, mouth dryness and ache could also be probably modifiable risk components. Targeting dietary patterns and risk components in main prevention methods could also be essential to enhance intake of protein and minimise risk of bodily frailty.
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
The overwhelming majority of dietary and consuming habits evaluation strategies are primarily based on self-reports. They are burdensome and additionally vulnerable to measurement errors. Recent technological improvements permit for the event of extra correct and exact dietary and consuming habits evaluation instruments that require much less effort for each the person and the researcher. Therefore, a new sensor-based machine to evaluate meals intake and consuming habits was developed.
The machine is a common eating tray outfitted with a video digicam and three separate built-in weighing stations. The weighing stations measure the load of the bowl, plate, and consuming cup constantly over the course of a meal. The video digicam positioned to the face information consuming habits traits (chews, bites), that are analyzed utilizing synthetic intelligence (AI)-based computerized facial features software program.
The tray weight and the video information are transported at real-time to a private laptop (PC) utilizing a wi-fi receiver. The outcomes of curiosity, akin to the quantity eaten, consuming price and chunk dimension, might be calculated by subtracting the information of these measures on the timepoints of curiosity.
The info obtained by the present model of the tray can be utilized for analysis functions, an upgraded model of the machine would additionally facilitate the availability of extra customized recommendation on dietary intake and consuming habits. Contrary to the standard dietary evaluation strategies, this dietary evaluation machine measures meals intake immediately inside a meal and will not be depending on reminiscence or the portion dimension estimation. Ultimately, this machine is due to this fact suited to every day predominant meal meals intake and consuming habits measures. In the long run, this know-how primarily based dietary evaluation methodology might be linked to well being functions or good watches to acquire a full overview of train, vitality intake, and consuming habits.
Potential of pumpkin to fight vitamin A deficiency throughout complementary feeding in low and center earnings international locations: selection, provitamin A carotenoid content material and retention, and dietary reference intakes
The risk of youngster vitamin A deficiency (VAD) in low and center earnings international locations (LMICs) begins in the course of the age vary of complementary feeding (6-24 months), when kids are fed complementary meals (CFs) poor in vitamin A. However, pumpkin, a supply of provitamin A carotenoids (PVACs) is broadly cultivated in LMICs, however underutilized as a complementary meals. Moreover, when consumed by people, PVACs are bioconverted to retinol, the energetic type of vitamin A utilized by the physique.
This study evaluated the potential of pumpkin towards combating VAD by reviewing varieties of pumpkin cultivated in LMICs and their provitamin A carotenoid (PVAC) content material; retention of PVACs in pumpkin throughout processing it as a CF; and the extent to which a CF ready from pumpkin might meet the dietary reference intakes (DRIs) for vitamin A for youngsters aged 6-24 months previous.
Pumpkin might fight VAD as a result of the varieties cultivated have excessive β-carotene content material, it’s a provitamin A biofortifiable meals crop, and 100% retention of PVACs was noticed when processed utilizing residence cooking strategies. Feeding lower than 50 g of cooked pumpkin per day meets 100% of the really useful dietary allowance (RDA) and sufficient intake (AI) of vitamin A for youngsters 6 to 24 months previous.
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Consumption of pumpkin could also be used to enrich vitamin A supplementation, fortification, and diversification of CFs with animal supply meals. For higher yield of pumpkin in LMICs, vitamin delicate agricultural programmes akin to biofortification and agronomic administration of pumpkin have to be promoted and supported.