Cardiometabolic and Anthropometric Outcomes of Intermittent Fasting Among Overweight and Obese Civil Servants in Malaysia.
Cardiometabolic and Anthropometric Outcomes of Intermittent Fasting Among Overweight and Obese Civil Servants in Malaysia.
This study was a quasi-experimental study established to determine the cardio-metabolic, anthropometric, dietary intake and quality of life changes following combined Intermittent Fasting Healthy Plate and Healthy Plate interventions among overweight and obese civil servants.
BACKGROUND
Overweight and obesity among adults is a growing global public health threat and an essential risk factor for various non-communicable diseases. Although it is largely preventable, the worldwide prevalence of obesity nearly tripled from 1975 and 2016 and remained increasing each year. In 2016, more than 1.9 billion adults were overweight, and 650 million were obese. If this current trend continues, it is estimated that 2.7 billion and over 1 billion adults will be overweight and obese by 2025, respectively.
Since obesity occurs due to positive energy balance in the body, the strategies of preventing and treating obesity mainly focus on dietary modification and increasing physical activity. One form of calorie restriction dietary protocol is intermittent fasting (IF), which encompasses various eating diet plans that cycle between a period of fasting and non-fasting over a defined period to create a negative energy balance, hence inducing weight loss. Studies have shown that IF is effective in reducing body weight and improving metabolic outcome. Although the effects of wet IF have been well documented, the benefits of dry IF (except for Ramadan fasting) is not clearly indicated in previous studies. Dry IF is defined as complete fasting without food and fluid intake.
As portion size is a crucial determinant of energy intake, portion control by controlling the serving size is another practical method to reduce calorie intake and promote weight loss. This portion control method has been widely practised and studied worldwide, using different portion divisions depends on the culture and eating habits. Malaysia Healthy Plate, a portion control dietary plan, was created to translate the messages in Malaysia Dietary Guideline 2010 and the Malaysia Food Pyramid 2010. It is a visual tool that emphasises the quarter-quarter-half concept that provides a quick visual technique that helps ensure the intake of food is within the recommended guideline. Specifically, Malaysia Healthy Plate is a single-meal guide that divides the plate into a quarter plate of grains or grains products, a quarter plate of fish, poultry, meat or egg, and a half plate of fruits and vegetables.
While weight losses are reported in studies of conventional IF, the adaptive phenomenon of dry IF on Monday and Thursday on cardiometabolic and anthropometric outcomes is still unclear. Similarly, although the policy of Malaysia Healthy Plate has been widely practised and publicised since 2010, the effectiveness of this eating plan in improving cardiometabolic risks and promoting weight loss is still not well documented. Thus, this study aimed to determine the cardiometabolic, anthropometric, dietary intake and quality of life changes among overweight and obese civil servants following combined Intermittent Fasting and Healthy Plate (IFHP) and Healthy Plate (HP), and to explore the participants' experience throughout the study. The investigators want to investigate whether combining dry IF and HP diet protocol will improve those parameters compared to HP alone.
METHODS
This was a mixed-method quasi-experimental study that evaluates the effectiveness of IFHP and HP among overweight and obese adults. A total of 177 participants were recruited in this study, of which 91 was allocated in the IFHP group and 86 in the HP group. The intervention comprises two phases; supervised (12 weeks) and unsupervised (12 weeks). The data collection was conducted during baseline, after the supervised phase (at week 12), and after the unsupervised phase (at week 24). For each participant, serum and whole blood were collected for analysis. Data on socio-demographic, quality of life, physical activity and dietary intake were also obtained using questionnaires during data collection.
The sample size calculation was conducted using the Power and Sample Size Program. It was followed the rules required for the comparison of two groups (10). The sample size was estimated using the level of significance (α =0.05) and power of the study (1-β=0.80), minimum suggested difference (delta) of 5% weight loss that may be achieved under this intervention and the corresponding differences between groups (SD=10%). The minimum sample size required for the study is 64 participants. By considering 40% attrition, the required sample size for each arm is 90 participants. The total number of participants required for this study is 180.
Data Management
To ascertain that the data collection and record-keeping are conducted efficiently, the Data Collection Booklet was developed and assigned to each participant of this study. This booklet consists of five sections (Socio-demographic, Quality of Life, Physical Activity, Dietary Record and Anthropometry Measurements Sections) sorted into three parts representing each point of data collection; baseline, month three and month six. This booklet was used as a data collection tool to record responses and measurements of the participant during baseline and follow-ups.
Data recorded in the booklet was then entered into a database at the end of the study. The data cleaning procedure was conducted by crosschecking all the entered data in the database and booklet and exploring the data to detect any significant outliers that possibly resulted from measurement error or data entering.
Data Analysis
Analysis was conducted using the Statistical Package of Social Science (SPSS) software version 25 (IBM Corp, NY). Data for continuous variables were presented by mean ± standard deviation (SD) or median and interquartile range (IQR) (for non-normally distributed data). For categorical variables, frequencies were calculated and presented together with percentages. Variables were compared using the independent t-test or Mann-Whitney U test for continuous variables and the Chi-squared or Fisher's exact (n≤5 in any cell) test for categorical variables. All statistical tests were two-sided and used a significance level of p <0.05. In further analysis, the repeated measures ANOVA will be used to compare the within and between groups changes of the outcomes.
Inclusion Criteria:
Exclusion Criteria: