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Nutritionist

Nutritionists are healthcare professionals who specialize in the science of food and its impact on human health.
They assess individuals' dietary needs, develop personalized nutrition plans, and provide guidance on healthy eating habits.
Nutritionists work with patients to prevent and manage various medical conditions, such as obesity, diabetes, and cardiovascular disease.
They may also conduct research, educate the public, and collaborate with other healthcare providers to optimize nutritional interventions.
Nutritionists play a vital role in promoting wellness and improving the quality of life for people of all ages.

Most cited protocols related to «Nutritionist»

Subjects were recruited from the participants of the Isfahan Cohort Study, Iran, who had been selected through cluster random sampling among adult population aged ≥ 35 years in Isfahan, Najafabad and Arak, Iran, district in 2001.13 (link) They were followed 2 years apart for cardiovascular events assessment by telephone interview. In addition repeated measurements including behavioral, biochemical and physical characteristics were carried out in the subject who had not any events in 2007.14 (link) Among them 300 healthy volunteer aged ≥ 41 years who accepted to complete second FFQ after 2 weeks included in the current validation study. They were included if they were non-diabetic and had no history of CVD, hypercholesterolemia, renal, thyroid, hematological, or mental diseases. Those on special diets and pregnant or lactating women were excluded. Excluding all the under- and over-reporting of dietary intake (daily energy intake < 800 or > 5000 Kcal), our sample size of n = 264 was selected from this subsample.
The FFQ was completed twice; at the beginning of the study and 2 weeks thereafter. The total number of samples studied was 300. The initial FFQ was accompanied by a demographic questionnaire and a 24 h diet recall, which were administered by trained dietitian. The respondents or one of their family members were also trained to complete two self-reported diet records in the same week. The study protocol was approved by the research council of the Isfahan Cardiovascular Research Center (ICRC).
Detailed home interviews were carried out by trained health professionals at study baseline to obtain required information about participants’ general characteristics, including socioeconomic and demographic characteristics as well as data on dietary behaviors, smoking and physical activity status.15 (link),16 (link) Physical activity was assessed by means of a validated Baeck physical activity questionnaire. A trained interviewer measured standing height without shoes and recorded to the nearest 0.5 cm at the baseline visit. Body weight was measured with the subjects wearing light clothes, without shoes and recorded to the nearest 0.5 kg. Body mass index (BMI) was calculated as body weight (kg)/height (m2).
A 48-item FFQ was designed based on the nutrition questionnaire of Countrywide Integrated Non-communicable Disease Intervention program to assess usual food intakes contributing in prevention or occurrence of CVD and relevant risk factors. Face and content validity of the questionnaire were assessed by an expert panel, consisting of five nutritionists. The FFQ was tested in pilot for clarity and comprehensiveness among 30 adults who were not entered in the main study participants and had the same characteristics to study population.
Participants reported their frequency consumption of several food items over the last preceding year on a daily, weekly or monthly basis in an open-ended format. Subjects were also requested to choose the “never/seldom” response if they never consumed a given food item. The reported frequency of each food item was converted into a daily consumption. Seldom and never were calculated as “zero.”
All participants also completed a single 24 h recall and 2 food records for 3 non-consecutive days, including 2 weeks days and 1 weekend during a week. We used two dietary assessment methods as the gold standard, because completing three 24 h dietary recalls were difficult. Hence, a single 24 h recall was completed by interviewing to train participants for self-reporting 2 dietary records.
In the case of mixed dishes, to estimate the serving size of each person, the total amount of cooked food as well as the number of persons who consumed it was collected and the amount of the food intake for each person was then calculated. The participants were asked to complete two self-reported food records. If he/she was illiterate and was not able to complete the questionnaire, a family member was requested and trained to do it. The samples were followed by phone to verify and complete self-reported food records. First trained nutritionists rechecked and grouped the food items into the same 13 groups in both SFFQ and dietary reference method, which were presented in table 1. Then, they entered the data including the frequency (time/week) consumption of foods groups based on the SFFQ and reference method, as well as the quantitative amount of food groups, intake based on dietary reference method. To estimate quantitative amount of foods intake, gram weights of food intakes were determined based on the previously established weights of the measure.17 Food groups extracted from reference dietary assessment method were similar to FFQ item.
The data were analyzed using SPSS for Windows (version 11.5, SPSS Inc., Chicago, IL, USA).The distributions of dietary intake values were examined for normality by the Kolmogorov-Smirnov test. All foods were non-normally distributed; therefore, non-parametric tests were performed. Validation of the FFQ was determined using Spearman correlation coefficients between daily frequency consumption of food groups, which assessed by the FFQ and the qualitative amount of daily food groups intake accessed by dietary reference method. Participants were divided into four groups based on frequency consumption of food groups assessed by the FFQs or dietary reference method. Then, the frequencies of subjects in the same, adjacent, one quartile apart and opposite quartiles of 2 dietary assessment methods were estimated. Intraclass correlation coefficients (ICC) were used to determine the reproducibility of 2 FFQs. P < 0.05 was considered as significant.
Publication 2015
Adult Body Weight Cardiovascular System Diet Dietitian Eating Face Family Member Food Gold Health Personnel Healthy Volunteers Hypercholesterolemia Hyperostosis, Diffuse Idiopathic Skeletal Index, Body Mass Interviewers Kidney Light Mental Disorders Mental Recall Noncommunicable Diseases Nutritionist Physical Examination Thyroid Gland Woman
The development of the Oxford WebQ online dietary questionnaire has been fully described elsewhere (11 , 17 (link), 18 (link)). Briefly, the tool was designed as a Web-based dietary questionnaire that was easy to use by both participants and researchers in large-scale observational studies, through extensive piloting and iterative improvement. The Oxford WebQ presents participants with 21 broad food groups, with options then expanding to offer over 200 commonly consumed foods and drinks. The participants are prompted to select the amount consumed over the previous 24 hours, mostly from predefined categories offered to them. To facilitate large-scale automatic coding of nutrient information, use of free-text boxes is minimized. Upon completion of the tool, the participants are presented with a summary page of all the food and drink items they reported consuming, together with the amounts reported, and are asked to make any necessary amendments. Completed questionnaires are coded automatically through multiplication of amounts consumed by the nutrient contents specified in standard United Kingdom food composition tables (33 ), producing a profile of the intake of 21 separate nutrients, without any additional intervention required by nutritionists.
Publication 2019
Diet Food Nutrient Intake Nutrients Nutritionist
Children who fulfilled the eligibility criteria during the study period were consecutively enrolled until the required sample size was reached. After providing written informed consent, a questionnaire was administered by a study pediatrician or medical officer at enrollment. The questionnaire included medical history focusing on demographics, description of presenting symptoms, physical examination and diagnosis. More detailed dietary history and socioeconomic history was taken the following day. As part of the physical examination, anthropometric measurements were taken by nutritionists three times and the average was taken. Length or height was measured using an infant length board (Infant/Child Shorr-Board® Maryland, USA) and MUAC using a measuring tape, both to the nearest 1 mm. Body weight was measured using a digital scale (Seca 813 Hamburg, Germany) to the nearest 0.1 kg. The WHZ were calculated using the Child Growth Standards of the World Health Organization (WHO) [17 ]. The healthy controls were subjected to the same questionnaires and tests as the children with SAM. Treatment of SAM children was instituted according to the Integrated Management of Acute Malnutrition (IMAM) guidelines [18 ] but transition of feeds was according to the WHO guidelines [19 ].
Publication 2021
Body Weight Child Diagnosis Diet Eligibility Determination Fingers Infant Malnutrition Nutritionist Pediatricians Physical Examination
Dietary intake was assessed at baseline using validated food frequency questionnaires (FFQ). A slightly different approach was applied to the first two cohorts of the Rotterdam Study (RS-I and RS-II) than to the third cohort (RS-III). For the first two cohorts, an FFQ was applied in a two-stage approach. In the first stage, participants indicated which foods they consumed at least twice a month in the preceding year using a self-administered checklist of 170 food items. In a second stage, a trained dietician used this list to identify how often and in which amounts the foods were consumed. This FFQ was validated against fifteen 24 h food records and four 24 h urinary urea excretion samples in a subsample of the Rotterdam Study (n = 80), which demonstrated that it was able to adequately rank participants according to their intake: Pearson’s correlation for nutrient intakes with the food records ranged between 0.44 and 0.85 and Spearman’s correlation for protein intake against urinary urea was 0.67 [4 (link)]. For the third cohort, a self-administered semi quantitative FFQ was used to assess dietary intake. This FFQ was based on 389 items and was previously validated in two other Dutch populations using a 9-day dietary record [5 (link)] and a 4 week dietary history [6 (link)], which showed Pearson’s correlations for intakes of different nutrients varying from 0.40 to 0.86. For each food item, the frequency of consumption (in times per month or per week), the number of servings per day (expressed in standardized household measures) as well as the preparation methods were included. Information on portion size, type of food item, and preparation method were collected. Nutrient data were calculated from the Dutch Food Composition Table, using 1993’s version for RS-I, the 2001’s version for RS-II, and 2011’s update for RS-III to account for the changes in nutritional composition of foods. We excluded participants who had an unreliable dietary intake according to the trained nutritionist who performed the interview or because their estimated daily energy intake was implausible, for which cut-offs were set at <500 or >5000 kcal/day.
Publication 2017
Diet Dietitian Food Households Nutrient Intake Nutrients Nutritionist Population Group Protein S Urea Urine
Phase 1 consisted of two steps. In step 1, the development of the pilot programme (p-FFIT) was led by an expert multidisciplinary working group comprising: two psychologists (one an exercise psychologist); two health social scientists (one with expertise in gender and health); a nutritionist; a men’s health nurse (with expertise in weight management for men); and a representative from the Scottish Premier League (SPL) Trust (which has a remit to deliver social change through community engagement within SPL clubs) [32 ]. The group met formally on two occasions and worked iteratively via email or in smaller sub-groups on successive drafts of the programme. In step 2, the optimal target population was identified by conducting a scoping review [33 (link)] to summarise existing evidence on men’s motivation to lose weight and improve their lifestyles (e.g., pressure from family members, wanting to be able to do more with their children, personal and family health histories), the potential health benefits of weight loss and increased physical activity, and current weight management and physical activity guidance.
Publication 2013
Child Family Member Motivation Nurses Nutritionist Pressure Program Development Psychologist Target Population

Most recents protocols related to «Nutritionist»

Following a booking for a visit to the public health center, the participants underwent a multicomponent intervention which included a consent form, pre-evaluation, 6 months of non-face-to-face health counseling, and health management information for using ICT devices. At the end of the 6-month service, the same items were subject to a post-evaluation. All the participants received non-face-to-face health counseling at least once a month. The healthcare missions consisted of the following: eating 3 meals per day, walking 5,000 steps or 30 min per day, taking prescribed medication on time, going outside at least once a day, measuring blood pressure once a day if participants had hypertension, measuring glucose level regularly if participants had hyperglycemia and drinking 8 cups of water per day (see Supplementary Figure S1). The participants connected their health data (step count, blood pressure, blood glucose, healthcare mission) to the smartphone app through wearable devices in real-time. This information was remotely monitored by visiting nurses, exercise experts, nutritionists, and other experts from the health center. Non-face-to-face consultations were conducted more than once based on this information. Health education materials were also provided in a non-face-to-face manner, and pictures or video links related to healthcare were sent to the participants’ mobile phones at least once a month. Using the app's push notifications, we sent a text message encouraging the participants to perform a healthcare mission at least once a week. The home care nurses monitored blood pressure, blood glucose levels, and step count levels at least once a week and provided consultations if there were any abnormalities. Table 1 presents the functions of smart speakers, smartphone apps, and wearable devices provided for each group.
Publication 2023
Blood Glucose Blood Pressure Congenital Abnormality Face Glucose High Blood Pressures Hyperglycemia Medical Devices Nurses Nutritionist Pharmaceutical Preparations Visiting Nurses
Sociodemographic; obstetric and health; and habits of acquisition, storage, and consumption of iodized salt data were collected through the application of a semi-structured and face-to-face interview questionnaire, with the support of Research Electronic Data Capture (REDCap®)—version 8.10.1.
The estimation of the dietary iodine intake was carried out by previously trained nutritionists through 24-h dietary recalls (24hR) following the “multiple-pass” methodology into five stages [14 (link)].
The first 24hR was obtained from all sample, and the second, from a subsample (16.6%) to control the intrapersonal variability.
Publication 2023
Diet Face Iodine iodized salt Mental Recall Nutritionist
This study was conducted at the Department of Metabolic and Bariatric Surgery in the First Affiliated Hospital of Jinan University. A preliminary assessment determined surgical qualifications by a multidisciplinary team including surgeons, endocrinologists, anesthesiologists, nutritionists, and nurses. This retrospective study included all patients with obesity who underwent LSG at our bariatric surgery center from June 1, 2018, to May 31, 2022. The exclusion criteria were: (1) age less than 18 years, (2) patients did not undergo HP examination before the operation, (3) patients who were transferred to the intensive care unit (ICU) immediately after the operation, (4) the revision surgery (a repeated surgery due to complications or unsatisfactory results after initial bariatric surgery), (5) patients received HP eradication treatment before the operation, (6) patients received antibiotic treatment within four weeks before the operation, (7) nausea or vomiting before anesthesia.
All Bariatric surgeries were performed by the same well-experienced surgical team. The surgical techniques of LSG and postoperative management were introduced previously (26 (link)). On the basis of PONV prophylaxis guidelines, we routinely gave palonosetron and dexamethasone at the end of the operation (13 (link), 27 (link)). After surgery, we transferred the patients to post-anesthesia care unit (PACU) until complete recovery and monitored vital signs according to standard clinical practice. In the ward, we used a visual analogue scale (VAS) to evaluate nausea and vomiting or pain (least: 0–10: worst). Depending on the severity of PONV, we decided whether to use antiemetics. For the patients with PONV or cases were intolerable, we usually offered rescue antiemetic agent (including: 5 mg tropisetron, 10 mg metoclopramide or 4 mg ondansetron). On the basis of the level of pain, subjects with postoperative pain received analgesic management, such as flurbiprofen 50 mg, parecoxib 40 mg or tramadol 100 mg (26 (link)).
Since (1) we had informed all participants receiving LSG that the clinical data which were acquired during the perioperative period may be retrospectively analyzed and published; And (2) in our study, all data were collected as a regular part of surgical care, and none were designed to collect data specifically for the research, so there was no need for written informed consent. This study protocol was approved by the Ethical Committee of the First Affiliated Hospital of Jinan University (no. KY-2021-070).
Publication 2023
Analgesics Anesthesia Anesthesiologist Antibiotics Antiemetics BAD protein, human Bariatric Surgery Dexamethasone Endocrinologists Flurbiprofen Metoclopramide Nausea Nurses Nutritionist Obesity Ondansetron Operative Surgical Procedures Pain Pain, Postoperative Palonosetron parecoxib Patients Postoperative Nausea and Vomiting Repeat Surgery Signs, Vital Surgeons Tramadol Tropisetron Visual Analog Pain Scale
Usual food intake was determined using the national Iranian food frequency questionnaire (FFQ) at the time of recruitment. This FFQ included questions about the frequency intake of 118 food items and appropriate standard portion sizes (e.g., a glass, cup, slice, teaspoon, tablespoon, spatula, cube, etc.) for each food item. Participants reported the average frequencies and portion sizes of consumed foods over the past year. In this study to decline the recall bias, the FFQ was taken from the participants by trained nutrition experts, and the participants were given enough time to remember the consumption of each food item. The FFQs were analyzed to obtain energy and nutrient intakes using the Nutritionist IV software (First Databank Inc., Hearst Corp., San Bruno, CA, United States) based on the U.S. Department of Agriculture food composition data. In nutritional epidemiological studies, subjects who under-reported (-3SD) or over-reported (+3SD) their energy intake based on FFQ analysis should be excluded from the study. According to a previous study, the under-reporting of energy intake in men and women is estimated at 800 and 600 kcal per day, and the over-reporting is estimated at 4200 and 3,500 kcal per day, respectively (19 (link)).
The MedDiet score was computed based on a nine-point scale constructed by Trichopoulou et al. This scale consists of nine dietary components: whole grains, fruits, vegetables, legumes, nuts, fish/seafood, monounsaturated to saturated fat ratio (MUFA/SFA) as healthy items; red and processed meats as unhealthy items; and alcohol as an item for which a moderate consumption was recommended. The food items included in each food group are shown in Table 1. Each component is assigned a value of 0 or 1 according to the sex-specific median of the studied population as the cut-off point. We measured each component (except for alcohol) in grams per 1,000 kilocalories to make intake independent of total energy intake (20 (link)). For healthy components, individuals with an intake at or above the median receive 1 point, otherwise they receive 0 points. This scoring algorithm is reversed for the unhealthy components. For alcohol, individuals with moderate intake (males: 10–50 g/day; females: 5–25 g/day) receive 1 point. Overall, the MedDiet score ranges from 0 (low adherence) to 9 (high adherence).
Publication 2023
Diet Eating Ethanol Fabaceae Females Fishes Food Food Analysis Fruit Males Meat Nutrient Intake Nutritionist Nuts PER1 protein, human Saturated Fatty Acid Seafood Vegetables Whole Grains Woman
All measures were performed 1-wk before and four days after the last elastic band training session. The variables examined included change of direction (COD) [(Modified agility T-test], three jumping tests [squat jump, countermovement jump and standing long jump], repeated sprint ability, muscular strength [1-RM bench press and 1-RM half squat] and muscular power [force-velocity test for both upper and lower limb]. Two familiarization sessions of 60–70 min preceded testing. Data were collected at the same time of day, under similar environmental conditions, and separated at least 48 h from familiarization sessions. During the 24 h before testing sessions, players avoided strenuous training and forms were delivered to all players by a certificate nutritionist with instructions regarding what to eat to follow a carbohydrate-rich diet. No caffeine-containing products were consumed for three h before testing. A standardized warm-up (10–20 min of low- to moderate-intensity aerobic exercise and dynamic stretching) preceded all the tests.
Publication 2023
Caffeine Carbohydrates Diet Exercise, Aerobic Lower Extremity Muscle Strength Muscle Tissue Nutritionist

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More about "Nutritionist"

Nutritionists, also known as dietitians, are healthcare professionals who specialize in the science of food and its impact on human health.
They assess individuals' dietary needs, develop personalized nutrition plans, and provide guidance on healthy eating habits.
Nutritionists/dietitians work with patients to prevent and manage various medical conditions, such as obesity, diabetes, and cardiovascular disease.
They may also conduct research, educate the public, and collaborate with other healthcare providers to optimize nutritional interventions.
Nutritionists play a vital role in promoting wellness and improving the quality of life for people of all ages.
Nutritionists utilize a variety of tools and technologies to assess and monitor their clients' health and nutrition status.
This includes instruments like stadiometers (for measuring height), digital scales (for measuring weight), and portable stadiometers for field work.
They may also use devices like the BF511 body composition analyzer, SPSS software for data analysis, and the Optium Xceed Blood Glucose and Ketone Monitoring System to track important health metrics.
Additionally, nutritionists often employ specialized food analysis software like Food Processor and Diet Analysis Plus to evaluate the nutritional content of foods and develop personalized meal plans.
The MC-780 S MA body composition analyzer is another tool used to assess body fat percentage and other body composition measures.
By leveraging these technologies and techniques, nutritionists are able to provide comprehensive, evidence-based guidance to their clients, helping them achieve their health and wellness goals.
Whether working in a clinical setting, conducting research, or educating the public, nutritionists are essential healthcare professionals who play a crucial role in promoting optimal nutrition and improving health outcomes.