Dietary supplements use among gym goers in India

Objective: This study is about to explore the dietary supplements use among gym going population in Bangalore city India.

Methodology

Study Design:A descriptive cross sectional survey was designed Study setting: The research study was carried out among gym goers in Bangalore city, India for a period of 3 months (April-June 2018) Study population and sampling technique: The study population was the gym goers in Bangalore irrespective of ethnicity, age groups, and background.

Study instrument

A structured self administered questionnaire was designed based on previous literature which includes close ended and open ended questionnaires were used for this study. The study instrument was divided into three sections: (a) Demographic characteristics, includes gender, age, occupation, education and family income; (b) life style characteristics; personal health, chronic health disease, smoking habits and physical activity ; (c) usage of dietary supplements. The questionnaire was prepared in Google form and shared to the respondents through (whatsapp) group with the help of acquaintance. The group contains different age groups from different background. The group was active since 2 years where people are sharing nutritional inputs, workout plans etc. Total 164 members were in group out of that only 112 are responded.

Statistical analysis

Data were analyzed by using the IBM SPSS Statistics 20 Software, 2009 (SPSS Inc., Chicago, IL, USA). Descriptive statistics in terms of frequencies and percentages were used Pearson chi-square test was used to study the associations among dependent and independent variables. Statistical significance was set at p<.05

Results:

Of 112 participants 93.8% were male and 6.3% were female, No one has reported of chronic disease, (18.8%) respondents are feel that they are suffering with chronic disease. Among 112 (37.5%) are considered themselves in good health condition. There were no stastcial differences between user and non user group in association with gender, age, occupation and income. Education is the only variable which has the statically significance between the groups (p<0.005)