Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion-The DIETFITS Randomized Clinical Trial

Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight
Adults and the Association With Genotype Pattern or Insulin Secretion-The DIETFITS
Randomized Clinical Trial
BY
{NAME}
{University/Affiliation}
{State}
{Registration Number}
{Course}
{Date}

Briefly summarize the nature, aims and hypothesis/es of the study.
The main objective of this study was to determine effect of a sound low-fat diet,
compared with a solid low-sugar diet on weight changes, and to find out whether genotype
outlines and insulin eliminations are associated with food intake routines on weight changes,
Gardner et al (2018).
The hypotheses of the study were two. The first hypothesis stated that there is food intake
routine and genotype outline correlation that impacts weight reduction. The second hypothesis
stated that there was a correlation between diet and insulin that could impact on weight
reduction.
Summarize the methods used in the study, including participants, materials and basic
procedure.
The methods used in this study include the participants, materials and the basic
procedures that were followed. The study employed a total of 600 adults who hailed from the
San Francisco and California areas. The participants were sought after through advertisements in
the media and through email lists, Zhao et al (2016). Men and women of between 18-50 in the
pre-menopausal stage and having body mass index of between 28 and40 were considered in the
study. Individuals with hysteric hypertension or diseases as cancer and diabetes, among others,
were excluded from the study. Other exclusion criteria was pregnancy and lactation for women.
Randomization to get sample population for the two study classes (sound low-sugar
eating routine and a solid low- fat eating routine), was done using a mechanized arbitrary
generation mechanism). There was a total of 8 class sizes, with each class having 4 members.
The first study was limited by finances and could not therefore involve the entire sample.
In that case, the investigation only included a 2×2 factorial outline (abstain from food ×
genotype-design coordinating). However, just as the study was beginning, there was more
funding, up to twice the original funding. This made it possible for an increase of 50% of the
sample population size. This allowed for the study involving the second sample category

(evaluation of a count calories × insulin emission connection) to begin. It also allowed for a
larger pact of measurements to be available.
The study procedure involved a one-month program whereby participants were
encouraged to stick to their routine diet type, maintain a moderate exercise and a leveraged body
weight. The study involved a total of 22 learning lessons which were carried out over a 12 –
month period in the diet-specific groups which had an approximate of 17 members. Classes were
held every week over a period 0f two months, then after every two weeks for eight weeks, then
for three successive weeks on up to the 6th month, and thereafter on a monthly basis. Lessons
were facilitated by 5 trained and seasoned health educationists, Wang et al (2012). Each one of
the trainers taught one category from each main sample classes. Participating members were
advised to given procedures and guidelines, including sticking to the provided diet
recommendations and exercise sessions. They were further encouraged to set goals to embrace
self-drive as part of the behavioral change mechanisms.
Detail the main findings of the study and whether the hypothesis was supported.
Data was collected during the study on each 3rd, 6th and 12th months respectively from all
categories where it was possible. The dietician who took measurements were not required to
know the diet measurements, genotype outlines or food delineations. Gross energy usage
distribution was measured by using a special questionnaire for seven days. Diet consumption and
physical activities were measured by the participants’ self-reporting mechanisms. Weight
measurement was also carried to monitor a 12 – month outcome, Davies et al (2014).
Genotype characteristics and insulin eliminations were monitored for testing and were
analyzed using scientific approaches and analyzed mathematically.
Out of the maximum 27 possible outcomes, only 15 were observed with a one percent
more frequency in the originally observed samples for adults. The genotypes were grouped in
two classes: those that had more affinity to sugar and those that had higher affinity to neither
genotype patterns.