Survey Questions On Age, Gender, Weight, Exercise, Profession, Family Size, Income, Obesity, Physical Fitness, And Essay.

Question 1: What is your age?

Task 1: What is your age?

Task 2:  The purpose of this question was to know in the age of a participant.   

Task 3:  Numeric.

Task 4:  Ratio.

Task 5:  The data obtained from the responses to this question can be summarised through descriptive statistical measures. This will include measures of centre and spread of the data (Kaliyadan and Kulkarni 2019). The data can be best visualised with the help of a histogram. Histogram will demonstrate the distribution of the ages of the participants in the sample.

Task 1: What is your gender?

Task 2:  The purpose of this question was to know what gender group the participant belonged in.

Task 3:  Categorical.

Task 4:  Nominal

Task 5:  The data obtained from the responses to the above question can be summarised in a table with the gender groups entered in one column and the corresponding frequencies and percentage of participants from each gender group listed in separate columns. The data can be best visualised through a pie-chart (Archambault et al. 2015). The pie chart shall demonstrate the percentages for each category. Each slice will be represented in different colours.

Task 1:  What is your weight in kilograms?

Task 2:  The purpose of this question was to know about the weight of a participant

Task 3:  Numerical.

Task 4: Ratio.

Task 5:  The data obtained through the response from the above question can be best summarised through descriptive statistical measures. For visual representation of the data histogram is the best possible representation. The histogram will indicate how the weights of the participants were distributed.

Task 1:  How often do you exercise in a week?

Task 2:  The purpose of this question was to know how much time an individual spent exercising in a week which informed the researchers about the participant’s devotion to his or her own fitness.    

Task 3:  Categorical.

Task 4:  Interval.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the frequency of exercise in a group entered in one column and the corresponding frequencies and percentage of participants from each group listed in separate columns. The data can be best visualised through a bar chart demonstrating the count of participants based on the time they spent a week exercising (Sadiku et al. 2015)

Task 1:  What is your profession?

Task 2:  The purpose of this question was to know what profession a participant was involved in to make their living.    

Task 3:  Categorical.

Task 4:  Nominal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the frequency of the professions listed in one column and the corresponding frequencies and percentage of participants from each group listed in separate columns. The data can be best visualised through a horizontal bar diagram.

Task 1: How many members do you have in your family?

Task 2:  The purpose of this question was to know the number of members an individual had in their family.

Question 2: What is your gender?

Task 3:  Numerical.

Task 4:  Ratio.

Task 5:  The data can be summarised through descriptive statistical measures and best visualised through a histogram.  

Task 1:  How much time do you spend on working in a week?

Task 2:  The purpose of this question was to know how much time an individual spent working in a week on professional involvement.    

Task 3:  Categorical.

Task 4:  Interval.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the frequency of grouped work hours entered in one column and the corresponding frequencies and percentage of participants from each group listed in separate columns. The data can be best visualised through a bar chart.

Task 1:  What is your level of annual income?

Task 2:  The purpose of this question was to know how much a participant earned on an annual basis.    

Task 3:  Categorical.

Task 4:  Interval.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the frequency of grouped annual incomes entered in one column and the corresponding frequencies and percentage of participants from each group listed in separate columns. The data can be best visualised through a bar chart demonstrating the count of participants based on the annual level of income they earned.

Task 1:  Have you been diagnosed with obesity in the past?

Task 2:  The purpose of this question was to know whether or not a individual was diagnosed with obesity in the past.

Task 3:  Categorical.

Task 4:  Nominal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (Yes or No) entered in one column and the corresponding frequencies and percentage of participants for each response listed in separate columns. The data can be best visualised through a pie chart which shows the percentage of participants who said yes and those who said no.

Task 1: On a scale of 1 (Strongly agree) to 5 (Strongly disagree) how do you consider staying physically fit is an important part of your life?

Task 2:  The purpose of this question was to know the perceived importance by participants regarding their own fitness.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column and the corresponding frequencies and percentage of participants for each response listed in separate columns. The data can be best visualised through a bar chart demonstrating the count of participants based on the response provided.

Task 1: On a scale of 1 (Strongly agree) to 5 (Strongly disagree) how do you consider eating healthy and balanced diet is important for your health?

Task 2:  The purpose of this question was to know the perceived importance by participants regarding their perceived importance of eating healthy.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column and the corresponding frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart demonstrating the count of participants corresponding to each response.

Question 3: What is your weight in kilograms?

Task 1: On a scale of 1 (Strongly agree) to 5 (Strongly disagree) do you consider your financial conditions contribute to your overweight or obesity?

Task 2:  The purpose of this question was to know the perceived association of participants between their financial condition and obesity.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart.

Task 1: On a scale of 1 (Strongly agree) to 5 (Strongly disagree) do you consider your social factors contribute to your overweight or obesity?

Task 2:  The purpose of this question was to know the perceived association of participants between their social condition and obesity.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart (Anouncia, Gohel and Vairamuthu 2020)

Task 1: On a scale of 1 (Strongly agree) to 5 (Strongly disagree) do you consider your physical environmental factors contribute to your overweight or obesity?

Task 2:  The purpose of this question was to know the perceived association of participants between their physical environmental condition and obesity.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart demonstrating the count or percentage of participants corresponding to each response.

Task 1: On a scale of 1 (Strongly agree) to 5 (Strongly disagree) how strongly do you agree that promotions for preventive measures are required to avoid overweight and obesity?

Task 2:  The purpose of this question was to know the perceived importance of participants about the preventive measures such as eating healthy and working out regularly to stay healthy and avoid obesity.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart demonstrating the count or percentage of participants corresponding to each response.

Task 1: On a scale of 1 (Very low) to 5 (Very high) how strongly do you support the promotion of healthy and sustainable production?

Task 2:  The purpose of this question was to understand how the people of the city would support production of food that contributes to a healthier life style for the cause of reducing obesity.  

Question 4: How often do you exercise in a week?

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart demonstrating the count or percentage of participants corresponding to each response.

Task 1: On a scale of 1 (Very low) to 5 (Very high) how strongly do you support the implementation of economic policies to promote production of healthy food and lifestyle by the state government?

Task 2:  The purpose of this question was to understand how the people of the city would support implementation of economic policies that make leading healthy lifestyle economically feasible.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart.

Task 1: On a scale of 1 (Very low) to 5 (Very high) how strongly do you support the increase in availability and access to healthier food and drinks in your place of work?

Task 2:  The purpose of this question was to understand how the people of the city would support the cause for availability of healthy food products at their workplace.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart.

Task 1: On a scale of 1 (Very low) to 5 (Very high) how strongly do you support the implementation of strategies to reduce production and marketing of unhealthy food products?

Task 2:  The purpose of this question was to understand how the people would react to the reduction in exposure to unhealthy food items.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart.

Task 1: On a scale of 1 (Very low) to 5 (Very high) how strongly do you believe that the government should take lead and collaborate with the people to promote and encourage healthy lifestyle to reduce obesity?

Task 2:  The purpose of this question was to understand how the people would support the intervention by government in taking actions that contribute to the healthy lifestyle of people and reduce obesity and other health related problems.

Task 3:  Categorical.

Task 4:  Ordinal.

Task 5:  The data obtained from the responses to this question can be summarised in a table with the responses (1 to 5) entered in one column. The frequencies and percentage of participants for each response can be listed in separate columns. The data can be best visualised through a bar chart.

Task 6: The survey will be conducted with a sample selected through random process. Random sampling is a probability sampling where every member from a population has equally likely chance of getting selected into the sample (Tillé and Wilhelm 2017). The process of random sampling reduces bias (Etikan and Bala 2017). A questionnaire containing all survey questions shall be distributed to the patients visiting the state hospitals either due to treatment of obesity or any other purposes at random through e-mails. Their e-mails would be collected through informed consent of the participants. The participants would be informed about a fixed certain time before which they shall e-mail their responses to the initial sender address.

Task 7: Simple random sampling would be incorporated to select participants for the survey. The method of simple random sampling reduces bias in the collection of data (Berndt 2020). Presence of bias in data collection may lead to erroneous findings which should be avoided in any research process. The purpose of conducting the present survey was to know about how people of the city perceive the importance of staying healthy and prevent health issues such as obesity and overweight. The survey focusses on participation of people who have been under medical attention due to problems of overweight or any other kind to know their concern about the promoting healthy lifestyle of the city. The survey will inform about the perceived importance of the people of the city to promote healthy lifestyle and their expectations from the government to help tackle with the increasing health issues associated with unhealthy lifestyle in the city. This survey study will serve as an important decision making criteria to support the decisions of the mayor of the city in starting the “Healthy Eating and Obesity Prevention Program” and what attributes should the program contain. The study basically serves the entire city as an audience.

References 

Anouncia, S.M., Gohel, H.A. and Vairamuthu, S., 2020. Data Visualization. Springer Verlag, Singapore.

Archambault, S.G., Helouvry, J., Strohl, B. and Williams, G., 2015. Data visualization as a communication tool. Library Hi Tech News.

Berndt, A.E., 2020. Sampling methods. Journal of Human Lactation, 36(2), pp.224-226.

Etikan, I. and Bala, K., 2017. Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), p.00149.

Kaliyadan, F. and Kulkarni, V., 2019. Types of variables, descriptive statistics, and sample size. Indian dermatology online journal, 10(1), p.82.

Sadiku, M., Shadare, A.E., Musa, S.M., Akujuobi, C.M. and Perry, R., 2016. Data visualization. International Journal of Engineering Research and Advanced Technology (IJERAT), 2(12), pp.11-16.

Tillé, Y. and Wilhelm, M., 2017. Probability sampling designs: principles for choice of design and balancing. Statistical Science, pp.176-189.