Effect of folic acid on appetite in children: Ordinal logistic and fuzzy logistic regressions

Namdari, Mahshid; Abadi, Ashraf H.; Taheri, S. Mahmoud; Rezaei, Mansour; Kalantari, Naser; Omidvar, Nasrin

doi:10.1016/j.nut.2013.08.008

Cited by 11 publications

(5 citation statements)

References 19 publications

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“…When honey bees were in the control group were vitamin deficient, they seem to have a low appetite and thus they ate less food than the honey bees in bees fortified with low B-vitamins except for honey bees fortified with folic acid. These results are consistent with those published for humans receiving folic acid (Hatamizadeh et al, 2007;Namdari et al, 2014;Bruso, 2019) or niacin (Bruso, 2019) as lack of Bvitamins causes loss of appetite (Hegyi et al, 2004) while Bvitamin supplementation corrects this by inducing feeding and enhancing normal metabolism via supporting metabolic enzymes production, for review see (Tardy et al, 2020). Typically, honey bees preferred vitamins at the same concentration present in their natural diet such as pollen (22-1,100 µg/g for folic acid and 1,160 µg/g for niacin) and royal jelly (120 ± 30-565 ± 40 µg/g for pantothenic acid) (Graham, 1992;Ciulu et al, 2013).…”

Section: Discussionsupporting

confidence: 92%

B-Vitamins Influence the Consumption of Macronutrients in Honey Bees

Elsayeh

Cook

Wright

2022

Front. Sustain. Food Syst.

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Insects require dietary sources of B-vitamins, but relatively little is known about whether they regulate B-vitamin intake in the same way they regulate other nutrients. Honey bees meet their B-vitamin requirements mainly from the pollen they collect. Employing the geometric framework for nutrition, we found that honey bees actively regulate their vitamin intake following Bertrand's rule. We fed bees with a diet of essential amino acids (EAAs) and carbohydrate (C) to identify how the addition of B-vitamins affected the regulation of these macronutrients. In our experiments, honey bees preferred vitamins in concentrations comparable to those found in honey bee food (pollen, beebread, and royal jelly). Honey bees actively regulated niacin around an optimal value. Supplementing honey bee diets with B-vitamins influenced the amount of EAAs and carbohydrate ingested differently depending on the type of the vitamin. The impact of these vitamins was observed over the course of seven days where honey bees' mortality increased on diets of low and medium folic acid concentrations. This study provides insights into honey bee food intake regulation and the feeding preferences and sets the basis for future studies considering B-vitamins in honey bees diets.

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Section: Discussionsupporting

confidence: 92%

B-Vitamins Influence the Consumption of Macronutrients in Honey Bees

Elsayeh

Cook

Wright

2022

Front. Sustain. Food Syst.

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“…Among the 12 single-domain caregiver-perception assessments, response options were assessed through questionnaires administered to mothers by research staff. Caregivers were asked to respond with a “yes or no” or other dichotomous reply to a given question ( n = 3) ( 21 , 23 , 26 ) or were asked to answer with a Likert-type scale ( n = 6) ( 20 , 22 , 35 , 36 , 38 , 41 ). Of the 3 remaining single-domain studies, one study based in the Philippines used a visual analog scale to facilitate caretaker quantification of their child's appetite on a 10-point scale ( 37 ).…”

Section: Resultsmentioning

confidence: 99%

Systematic Review of Tools and Methods to Measure Appetite in Undernourished Children in the Context of Low- and Middle-Income Countries

Ickes

Hossain

Ritter

et al. 2018

Advances in Nutrition

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Child undernutrition has multifactorial causes, ranging from food insecurity to etiologies refractory to conventional nutritional approaches, such as infections, environmental enteric dysfunction, and other conditions that lead to systemic inflammation. Poor appetite may be an important symptom of these causes and may be a useful marker of an undernourished child's ability to recover. We conducted a systematic review to characterize the methods and tools to measure appetite among children <5 y old in low- and middle-income countries. A systematic search of 8 databases identified 23 eligible studies published since 1995. Thirteen described methods based on direct feeding observation or quantification of nutrient intake from caregiver report, 16 described tools that assessed caregiver perceptions of appetite, and 6 reported assessments in both categories. Four studies that gauged caregiver perceptions assessed multiple appetite domains, whereas 12 assessed 1 domain—often with a single question. Only 6 studies reported validation processes, the most common of which compared an observed test meal with daily energy intake. No studies reported the use of a method or tool that was validated in multiple cultural or linguistic contexts. Although dietary intake measures and observed feeding tests have shown validity in some contexts, they are resource intensive. Subjective caregiver questionnaires may offer a more efficient appetite evaluation method, but they have been evaluated less consistently. A rigorously developed and validated tool to rapidly assess child appetite is needed and could be best addressed by a questionnaire that leverages the multiple domains of appetite. The application of interventions that target causes of undernutrition that are not amenable to food-based interventions in clinical or research contexts could be facilitated by an efficient appetite screening tool to identify appetite-related causes of undernutrition and to monitor children's response to such interventions.

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“…FLR allows the dependent variable (output) to be fuzzy in binary, ordinal, and multinomial form, just as the independent variable/s (input) to be crisp (exact) or fuzzy in categorical or continuous form. As has been previously reported in the Literature Review, among the previous research in FLR, the works of Pourahmad et al [9], Pourahmad et al [16], Sohn et al [21], Yoon and Choi [22], Yoon and Grzegorzewski [23], Namdari et al [26], have comprehensively contributed to FLR. Especially, in Sohn et al [21], Yoon and Choi [22], Yoon and Grzegorzewski [23] a fuzzy least-squares estimation method by defining new fuzzy operations was developed.…”

Section: Fuzzy Logistic Regression (Flr)mentioning

confidence: 92%

“…Namdari et al [26] constructed a crisp input and fuzzy multinomial output FLR model using least-squares approach to examine the effect of folic acid on appetite in children. The results of the FLR and a statistical ordinal logistic regression was compared.…”

Section: Fuzzy Logistic Regression (Flr) Modelsmentioning

confidence: 99%

An application of fuzzy logistic regression for predicting CVSS severity category of industrial control systems

Dere

Kabak

2022

RAIRO-Oper. Res.

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Cybersecurity is rapidly gaining significance due to growing use of computers in daily life and business sectors. Likewise, industrial sector has also become more vulnerable to cyber threats (CT) exclusively with the onset of Industry 4.0, which is a digital transformation evolved with industrial control systems (ICS). Nowadays industrial organizations aim to build capacity towards protection of ICS to be cybersafe. To assess the effects of vulnerabilities in ICS, organizations utilize CVSS (Common Vulnerability Scoring System), which calculates severity categories/scores. CVSS is based on categorical variables defined by verbal statements rather than numerical values. When data collection is based on verbal/linguistic terms, uncertainty in data caused by human assessment inherently occurs. Randomness in data can be readily handled by classical statistical models, but to deal with uncertainty and especially when statistical assumptions for classical models don’t hold, fuzzy models with fuzzy numbers are appropriate to use. Therefore, we implement fuzzy logistic regression (FLR) on ICS vulnerability data, based on CVSS, to predict the severity category of ICS. Furthermore, the model is improved by applying metaheuristic algorithms to optimize the spread of fuzzy numbers representing input variables. This study is expected to contribute to practical application of vulnerability categorization of ICS.

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Effect of folic acid on appetite in children: Ordinal logistic and fuzzy logistic regressions

Cited by 11 publications

References 19 publications

B-Vitamins Influence the Consumption of Macronutrients in Honey Bees

B-Vitamins Influence the Consumption of Macronutrients in Honey Bees

Systematic Review of Tools and Methods to Measure Appetite in Undernourished Children in the Context of Low- and Middle-Income Countries

An application of fuzzy logistic regression for predicting CVSS severity category of industrial control systems

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