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\def\RunningAuthor{Ponnusankar S et al.}
\firstPage{4836}
\articleType{Original Article}
\receivedDate{10 May 2020}
\acceptedDate{02 Jun 2020}
\revisedDate{25 May 2020}
\journalVolume{2020, 11}
\journalIssue{3}
\journalDoi{ijrps.v11i3.2780}
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\title{Assessing the Knowledge, Attitude and Practice (KAP) among the newly diagnosed Prediabetes screened in selected districts of South India}
\author{Mohsina~Hyder~K\textsuperscript{1},  
            Raja~D\textsuperscript{1},  
            Jithin~Mohan\textsuperscript{2}, 
            Ponnusankar~S\textsuperscript{*}\textsuperscript{1}~\\[5pt]{\textsuperscript{1}Department of Pharmacy Practice, JSS College of Pharmacy, JSS Academy of Higher Education and Research,  Ooty {\textendash} 643 001, The Nilgiris, Tamil Nadu, India}~\\{\textsuperscript{2}Department of General Medicine, Specialist{\textendash}Internal Medicine, Aster Wayanad Speciality Hospital, Wayanad, Kerala, India}}

\begin{abstract}
Currently, 314 million people in the world are Prediabetes, and it is predicted that around 500 million would be burdened by the year 2025. Continuing education of diabetes and its complications is crucial, but it should be accompanied with regular assessment of Knowledge Attitude and Practice (KAP) among the high-risk population. This study was carried out to assess the Knowledge, Attitude and Practice among the newly diagnosed Prediabetes screened over selected districts of South India. This study was conducted through prediabetes screening camps over districts of Calicut, Wayanad and Malappuram in Kerala and The Nilgiris district in Tamilnadu from September 2017 to October 2019. A questionnaire survey was done as a part of a prospective open-label interventional study with 308 prediabetes individuals. Baseline characteristics of the participants were obtained, and their knowledge, attitude and practice regarding Prediabetes were assessed. The finding of the present study revealed 90\% of the respondents had poor knowledge, 9\% had average knowledge, and only 1\% had good knowledge of Prediabetes. In the attitude assessment, only 1.9\% had a strongly positive attitude, 14\% had a positive attitude, 54\% had neutral attitude while 17\% had a negative attitude and 13\% had a strongly negative attitude. Regarding healthy lifestyle practices, 35.4\% had a deplorable practice that scored below 6. Around half of the population, 52.3\% had poor practice, 12\% had proper training, while only 0.3\% had a perfect practice. Knowledge and practice regarding lifestyle modifications among prediabetes participants were found to be reduced. The mixed response was obtained regarding their attitude towards Prediabetes and its management. 
\end{abstract}\def\keywordstitle{Keywords}

\begin{keywords}Knowledge,\newline Attitude,\newline Practice,\newline prediabetes,\newline screening,\newline India
\end{keywords}
\twocolumn[ \maketitle {\printKwdAbsBox}]
\makeatletter{\raggedright\textsuperscript{*}Corresponding Author\par Name:\ Ponnusankar~S~\\ Phone:\ +91-9489613428     ~\\  Email:\ ponnusankarsivas@gmail.com
        \par}\vspace*{-11pt}\hrulefill\par{\fontsize{12}{14}\selectfont ISSN: 0975-7538}\par% 
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\section{Introduction}
Prediabetes is an intermediate high-risk state of diabetes which is mostly undiagnosed and undervalued among the public due to lack of awareness. Prediabetes is now recognised as a reversible condition which also increases an individual's risk for development of diabetes five to six-fold \unskip~\citep{819612:19595585}. Once diagnosed with type 2 diabetes mellitus, reversal is quite difficult because Type 2 diabetes has long been identified as an incurable chronic disease \unskip~\citep{819612:19595636}. According to IDF diabetes atlas 2019, 77 million people have diabetes in India while it was just 32.7 million in the year 2000. India also ranks 4th among the top ten countries in the world with impaired glucose tolerance holding 25.2 million cases \unskip~\citep{819612:19595582}. At present, 314 million people in the world are prediabetic, and it is predicted that around 500 million would be burdened with Prediabetes by the year 2025 \unskip~\citep{819612:19595634}.


\begin{table*}[!htbp]
\caption{\boldmath {Demographic details of participants with Prediabetes(n=308)} }
\label{tw-0c9488af3241}
\def\arraystretch{1.1}
\ignorespaces 
\centering 
\begin{tabulary}{\linewidth}{p{\dimexpr.2638\linewidth-2\tabcolsep}p{\dimexpr.3962\linewidth-2\tabcolsep}p{\dimexpr.34\linewidth-2\tabcolsep}}
\tbltoprule \rowcolor{kwdboxcolor}\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\cAlignHack Age distribution }\\
\rowcolor{kwdboxcolor}Age group & Frequency & Percentage \\
\tblmidrule 
25-30 &
  11 &
  3.6\\
31-35 &
  17 &
  5.5\\
36-40 &
  50 &
  16.2\\
41-45 &
  63 &
  20.5\\
46-50 &
  79 &
  25.6\\
51-55 &
  88 &
  28.6\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Education}}\\
Primary school &
  1 &
  0.3\\
High school &
  170 &
  55.2\\
Higher secondary &
  75 &
  24.4\\
Degree and above &
  62 &
  20.1\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Occupation }}\\
Unskilled/skilled labor &
  122 &
  39.6\\
Executive/business class &
  53 &
  17.2\\
House hold jobs  &
  133 &
  43.2\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{BMI Pattern}}\\
Normal  &
  68 &
  22.1\\
Over weight &
  163 &
  52.9\\
Obese  &
  75 &
  24.4\\
Under weight &
  2 &
  0.6\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Waist to hip ratio}}\\
Low  &
  19 &
  6.2\\
Moderate  &
  132 &
  42.9\\
High  &
  157 &
  51\\
\tblbottomrule 
\end{tabulary}\par 
\end{table*}

\begin{table*}[!htbp]
\caption{\boldmath {Characteristics of participants with Prediabetes(n=308)} }
\label{tw-22337d47ce4c}
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\tbltoprule \rowcolor{kwdboxcolor}\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\cAlignHack Characteristics of Prediabetes }\\
\rowcolor{kwdboxcolor}Smoking status & Frequency  & Percentage \\
\tblmidrule 
Yes  &
  98 &
  31.8\\
No &
  199 &
  64.6\\
Currently stopped &
  11 &
  3.6\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Alcohol intake}}\\
Yes  &
  91 &
  29.5\\
No  &
  211 &
  68.5\\
Currently stopped &
  6 &
  1.9\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Blood checkup pattern}}\\
Monthly  &
  0 &
  0\\
Six months or below &
  27 &
  8.8\\
Yearly &
  67 &
  21.8\\
Never or long back &
  214 &
  69.5\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Family history of diabetes}}\\
Yes  &
  171 &
  55.5\\
No  &
  121 &
  39.3\\
Unknown  &
  16 &
  5.2\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{\textbf{Physical activity}}\\
Light  &
  246 &
  79.9\\
Moderate &
  62 &
  20.1\\
Heavy  &
  0 &
  0\\
\tblbottomrule 
\end{tabulary}\par 
\end{table*}

\begin{table*}[!htbp]
\caption{\boldmath {Frequency distribution and percentage of respondent's knowledge regarding prediabetes } }
\label{tw-b11886c61c1b}
\centering 
\begin{threeparttable}

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\tbltoprule \rowcolor{kwdboxcolor}Questions on Prediabetes knowledge & Frequency  & Percentage \\
\tblmidrule 
1. Prediabetes condition can lead to &
   &
  \\
A. Type 2 diabetes mellitus* \mbox{}\protect\newline B. Type 1 diabetes mellitus  \mbox{}\protect\newline C. Both \mbox{}\protect\newline D. None  &
  79* \mbox{}\protect\newline 96 \mbox{}\protect\newline 87 \mbox{}\protect\newline 46 &
  25.6* \mbox{}\protect\newline 31.2 \mbox{}\protect\newline 28.2 \mbox{}\protect\newline 14.9\\
\multicolumn{3}{p{\dimexpr(.9999999999999997\linewidth-2\tabcolsep)}}{2. What is the chance of one getting prediabetes if both their parents have type 2 Diabetes?}\\
A. 25-40 Percentage \mbox{}\protect\newline B. More than 50 percentage \mbox{}\protect\newline C. 10-15 percentage \mbox{}\protect\newline D. 0 percentage &
  106 \mbox{}\protect\newline 71 \mbox{}\protect\newline 58 \mbox{}\protect\newline 73 &
  34.4 \mbox{}\protect\newline 23.1 \mbox{}\protect\newline 18.8 \mbox{}\protect\newline 23.7\\
3. Which is the best method for detecting prediabetes conditions? &
   &
  \\
A. Blood testing \mbox{}\protect\newline B. Urine testing \mbox{}\protect\newline C. Both \mbox{}\protect\newline D. None of the above &
  97 \mbox{}\protect\newline 53 \mbox{}\protect\newline 120 \mbox{}\protect\newline 38 &
  31.5 \mbox{}\protect\newline 17.2 \mbox{}\protect\newline 39 \mbox{}\protect\newline 12.3\\
\multicolumn{3}{p{\dimexpr(.9999999999999997\linewidth-2\tabcolsep)}}{4. What is the fasting blood glucose level (after an overnight fast of 10 hours) in prediabetes?}\\
A. 140-199 mg/dl \mbox{}\protect\newline B. \textless\ 100 mg/dl \mbox{}\protect\newline C. 100-125 mg/dl \mbox{}\protect\newline D. {\textgreater}200 mg/dl &
  87 \mbox{}\protect\newline 91 \mbox{}\protect\newline 92 \mbox{}\protect\newline 38 &
  28.2 \mbox{}\protect\newline 29.5 \mbox{}\protect\newline 29.9 \mbox{}\protect\newline 12.3\\
5. Average blood glucosefor the past 3 months is given by the blood test &
   &
  \\
A. HbA1c Test \mbox{}\protect\newline B. Fructosamine Test \mbox{}\protect\newline C. Fasting Blood Glucose Test \mbox{}\protect\newline D. Oral Glucose Tolerance Test  &
  84 \mbox{}\protect\newline 75 \mbox{}\protect\newline 82 \mbox{}\protect\newline 67 &
  27.3 \mbox{}\protect\newline 24.4 \mbox{}\protect\newline 26.6 \mbox{}\protect\newline 21.8\\
\multicolumn{3}{p{\dimexpr(.9999999999999997\linewidth-2\tabcolsep)}}{6. What is the importance of testing insulin levels along with glucose levels in prediabetes?}\\
A. To identify insulin tolerance \mbox{}\protect\newline B. To identify insulin overdose \mbox{}\protect\newline C. To identify insulin resistance \mbox{}\protect\newline D. None of the above &
  140 \mbox{}\protect\newline 62 \mbox{}\protect\newline 41 \mbox{}\protect\newline 65 &
  45.5 \mbox{}\protect\newline 20.1 \mbox{}\protect\newline 13.3 \mbox{}\protect\newline 21.1\\
7. Preferred recommendation for prediabetes &
   &
  \\
A. Diet control and exercise \mbox{}\protect\newline B. Insulin Injections \mbox{}\protect\newline C. Dental check up \mbox{}\protect\newline D. None of the above &
  153 \mbox{}\protect\newline 88 \mbox{}\protect\newline 26 \mbox{}\protect\newline 41 &
  49.7 \mbox{}\protect\newline 28.6 \mbox{}\protect\newline 8.4 \mbox{}\protect\newline 13.3\\
8. The Prediabetes should take regularly &
   &
  \\
A. Foods that are high in fat \mbox{}\protect\newline B. Soft drinks and energy drinks \mbox{}\protect\newline C. High fiber foods \mbox{}\protect\newline D. Foods rich in carbohydrate &
  72 \mbox{}\protect\newline 46 \mbox{}\protect\newline 134 \mbox{}\protect\newline 56 &
  23.4 \mbox{}\protect\newline 14.9 \mbox{}\protect\newline 43.5 \mbox{}\protect\newline 18.2\\
9. How often prediabetes should do exercise? &
   &
  \\
A. Once a week for at least 30 mins \mbox{}\protect\newline B. Most days of the week for at least 30 mins \mbox{}\protect\newline C. Once a month for at least one hour \mbox{}\protect\newline D. None of the above &
  66 \mbox{}\protect\newline 163 \mbox{}\protect\newline 44 \mbox{}\protect\newline 35 &
  21.4 \mbox{}\protect\newline 52.9 \mbox{}\protect\newline 14.3 \mbox{}\protect\newline 11.4\\
\multicolumn{3}{p{\dimexpr(.9999999999999997\linewidth-2\tabcolsep)}}{10. How far weight reduction help prediabetes condition in obese patient?}\\
A. Will Not help \mbox{}\protect\newline B. Greatly help \mbox{}\protect\newline C. Slightly help \mbox{}\protect\newline D. Unsure  &
  75 \mbox{}\protect\newline 56 \mbox{}\protect\newline 111 \mbox{}\protect\newline 66 &
  24.4 \mbox{}\protect\newline 18.2 \mbox{}\protect\newline 36 \mbox{}\protect\newline 21.4\\
\tblbottomrule 
\end{tabulary}\par 
\begin{tablenotes}\footnotesize 
    
\item{*correct answer given by respondent}
\end{tablenotes}
\end{threeparttable}

\end{table*}

\begin{table*}[!htbp]
\caption{\boldmath {Frequency distribution and percentage of respondent's attitude towards prediabetes } }
\label{tw-1db79137f0f8}
\centering 
\begin{threeparttable}

\def\arraystretch{1.1}
\ignorespaces 
\centering 
\begin{tabulary}{\linewidth}{p{\dimexpr.54709999999999994\linewidth-2\tabcolsep}p{\dimexpr.2433\linewidth-2\tabcolsep}p{\dimexpr.2096\linewidth-2\tabcolsep}}
\tbltoprule \rowcolor{kwdboxcolor}Questions on Prediabetes Attitude & Frequency  & Percentage \\
\tblmidrule 
11. I~can do a lot for my prediabetes &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree* &
  45 \mbox{}\protect\newline 82 \mbox{}\protect\newline 181*  &
  14.6 \mbox{}\protect\newline 26.6 \mbox{}\protect\newline 58.8*\\
\multicolumn{2}{p{\dimexpr(.7903999999999999\linewidth-2\tabcolsep)}}{12. Prediabetes should keep their blood sugar close to normal} &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  35 \mbox{}\protect\newline 82 \mbox{}\protect\newline 191 &
  11.4 \mbox{}\protect\newline 26.6 \mbox{}\protect\newline 62\\
13. Control of blood sugar is difficult in prediabetes &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  77 \mbox{}\protect\newline 112 \mbox{}\protect\newline 119 &
  25 \mbox{}\protect\newline 36.4 \mbox{}\protect\newline 38.6\\
\multicolumn{3}{p{\dimexpr(1\linewidth-2\tabcolsep)}}{14. There is not much use in blood sugar control in prediabetes because type 2 diabetes mellitus will happen anyway}\\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  103 \mbox{}\protect\newline 97 \mbox{}\protect\newline 108 &
  33.4 \mbox{}\protect\newline 31.5 \mbox{}\protect\newline 35.1\\
15. Prediabetes happens only to a cursed person &
   &
  \\
A. Strongly disagree \mbox{}\protect\newline A. Neither Agree nor Disagree \mbox{}\protect\newline B. Strongly Agree &
  133 \mbox{}\protect\newline 111 \mbox{}\protect\newline 64 &
  43.2 \mbox{}\protect\newline 36 \mbox{}\protect\newline 20.8\\
16. People with prediabetes should be taught about diabetes mellitus &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  23 \mbox{}\protect\newline 51 \mbox{}\protect\newline 234 &
  7.5 \mbox{}\protect\newline 16.6 \mbox{}\protect\newline 76\\
17. Prediabetes condition is ignored much by the society &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  34 \mbox{}\protect\newline 86 \mbox{}\protect\newline 188 &
  11 \mbox{}\protect\newline 27.9 \mbox{}\protect\newline 61\\
18. Support from family is important in dealing with prediabetes &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  47 \mbox{}\protect\newline 90 \mbox{}\protect\newline 171 &
  15.3 \mbox{}\protect\newline 29.2 \mbox{}\protect\newline 55.5 \\
19. Prediabetes should be taught about life style modifications &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  28 \mbox{}\protect\newline 77 \mbox{}\protect\newline 203 &
   9.1 \mbox{}\protect\newline 25 \mbox{}\protect\newline 65.9\\
20. I~can lead a normal life in spite of prediabetes &
   &
  \\
A. Strongly Disagree \mbox{}\protect\newline B. Neither Agree nor Disagree \mbox{}\protect\newline C. Strongly Agree &
  67 \mbox{}\protect\newline 80 \mbox{}\protect\newline 161 &
  21.8 \mbox{}\protect\newline 26 \mbox{}\protect\newline 52.3\\
\tblbottomrule 
\end{tabulary}\par 
\begin{tablenotes}\footnotesize 
    
\item{* correct answer given by respondent}
\end{tablenotes}
\end{threeparttable}

\end{table*}

\begin{table*}[!htbp]
\caption{\boldmath {Frequency distribution and percentage of respondent's practice among prediabetes} }
\label{tw-6f30c4843b1a}
\centering 
\begin{threeparttable}

\def\arraystretch{1.1}
\ignorespaces 
\centering 
\begin{tabulary}{\linewidth}{p{\dimexpr.54850000000000065\linewidth-2\tabcolsep}p{\dimexpr.20330000000000005\linewidth-2\tabcolsep}p{\dimexpr.24819999999999993\linewidth-2\tabcolsep}}
\tbltoprule \rowcolor{kwdboxcolor}Questions on Prediabetes Practice  & Frequency  & Percentage \\
\tblmidrule 
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{21. How many hours per week do you perform exercises like cycling, } &
  walking, yoga etc.?\\
A. 3 to 6 hours a week* \mbox{}\protect\newline B. 1 to 2 hours a week \mbox{}\protect\newline C. Less than 1 hour a week \mbox{}\protect\newline D. None &
  12* \mbox{}\protect\newline 82 \mbox{}\protect\newline 77 \mbox{}\protect\newline 137 &
  3.9* \mbox{}\protect\newline 26.6 \mbox{}\protect\newline 25 \mbox{}\protect\newline 44.5\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{22. How often you consume sugar sweetened beverages (soda, carbonated beverages and non-carbonated fruit drinks)?} &
  \\
A. 5 or more times a week \mbox{}\protect\newline B. 3 or 4 times a week \mbox{}\protect\newline C. 1-2 times a week \mbox{}\protect\newline D. Almost Never &
  49 \mbox{}\protect\newline 53 \mbox{}\protect\newline 84 \mbox{}\protect\newline 122 &
  15.9 \mbox{}\protect\newline 17.2 \mbox{}\protect\newline 27.3 \mbox{}\protect\newline 39.6\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{23. How frequently you substitute fiber rich foods like oats, whole grains, fruits or vegetable salads over normal meals?} &
  \\
A. 5 or more times a week \mbox{}\protect\newline B. 3 or 4 times a week \mbox{}\protect\newline C. 1-2 times a week \mbox{}\protect\newline D. Almost never &
  79 \mbox{}\protect\newline 64 \mbox{}\protect\newline 84 \mbox{}\protect\newline 81 &
  25.6 \mbox{}\protect\newline 20.8 \mbox{}\protect\newline 27.3 \mbox{}\protect\newline 26.3\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{24. How often you sleep less than six hours/ night?} &
  \\
A. 5 or more times a week \mbox{}\protect\newline B. 3 or 4 times a week \mbox{}\protect\newline C. 1-2 times a week \mbox{}\protect\newline D. Almost Never &
  42 \mbox{}\protect\newline 40 \mbox{}\protect\newline 94 \mbox{}\protect\newline 132 &
  13.6 \mbox{}\protect\newline 13.0 \mbox{}\protect\newline 30.5 \mbox{}\protect\newline 42.9\\
25. How often you skip meals? &
   &
  \\
A. 5 or more times a week \mbox{}\protect\newline B. 3 or 4 times a week \mbox{}\protect\newline C. 1-2 times a week \mbox{}\protect\newline D. Almost Never &
  19 \mbox{}\protect\newline 29 \mbox{}\protect\newline 94 \mbox{}\protect\newline 166 &
  6.2 \mbox{}\protect\newline 9.4 \mbox{}\protect\newline 30.5 \mbox{}\protect\newline 53.9\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{26. How often you consume high fat foods (like fried snacks and meat, fast } &
  foods, chocolates)?\\
A. 5 or more times a week \mbox{}\protect\newline B. 3 or 4 times a week \mbox{}\protect\newline C. 1-2 times a week \mbox{}\protect\newline D. Almost Never &
  101 \mbox{}\protect\newline 60 \mbox{}\protect\newline 91 \mbox{}\protect\newline 5 &
  32.8 \mbox{}\protect\newline 19.5 \mbox{}\protect\newline 29.5 \mbox{}\protect\newline 18.2\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{27. How often you eat food while watching TV/ using mobile phone/ reading books (Distracted eating)?} &
  \\
A. Every time \mbox{}\protect\newline B. Twice a day \mbox{}\protect\newline C. Once a day \mbox{}\protect\newline D. Almost Never &
  107 \mbox{}\protect\newline 44 \mbox{}\protect\newline 85 \mbox{}\protect\newline 7 &
  34.7 \mbox{}\protect\newline 14.3 \mbox{}\protect\newline 27.6 \mbox{}\protect\newline 23.4\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{28. How long you spend in front of computer/TV in a day?} &
  \\
A. More than 6 hours a day \mbox{}\protect\newline B. 4-6 hours a day \mbox{}\protect\newline C. 1-3 hours a day \mbox{}\protect\newline D. Almost Never &
  62 \mbox{}\protect\newline 66 \mbox{}\protect\newline 125 \mbox{}\protect\newline 55 &
  20.1 \mbox{}\protect\newline 21.4 \mbox{}\protect\newline 40.6 \mbox{}\protect\newline 17.9\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{29. How often you check blood sugar at home/lab?} &
  \\
A. Once in 6 months or yearly \mbox{}\protect\newline B. Once in 2 or 3 months \mbox{}\protect\newline C. Weekly or monthly once \mbox{}\protect\newline D. Never &
  81 \mbox{}\protect\newline 35 \mbox{}\protect\newline 9 \mbox{}\protect\newline 183 &
  26.3 \mbox{}\protect\newline 11.4 \mbox{}\protect\newline 2.9 \mbox{}\protect\newline 59.4\\
\multicolumn{2}{p{\dimexpr(.7518000000000006\linewidth-2\tabcolsep)}}{30. How often you check cholesterol profile at lab?} &
  \\
A. Once in 10 years \mbox{}\protect\newline B. Once in 5 years \mbox{}\protect\newline C. One or more times in 2 years \mbox{}\protect\newline D. Never &
  31 \mbox{}\protect\newline 13 \mbox{}\protect\newline 63 \mbox{}\protect\newline 201 &
  10.1 \mbox{}\protect\newline 4.2 \mbox{}\protect\newline 20.5 \mbox{}\protect\newline 65.3\\
\tblbottomrule 
\end{tabulary}\par 
\begin{tablenotes}\footnotesize 
    
\item{* correct answer given by respondent}
\end{tablenotes}
\end{threeparttable}

\end{table*}

\begin{table*}[!htbp]
\caption{\boldmath {Pearson correlation coefficient of Knowledge, Attitude and Practice among prediabetes} }
\label{tw-5edc9042174e}
\def\arraystretch{1.1}
\ignorespaces 
\centering 
\begin{tabulary}{\linewidth}{p{\dimexpr.4495\linewidth-2\tabcolsep}p{\dimexpr.3336\linewidth-2\tabcolsep}p{\dimexpr.21690000000000005\linewidth-2\tabcolsep}}
\tbltoprule \rowcolor{kwdboxcolor}Correlation  & Pearson correlation  & P-value \\
\tblmidrule 
Prediabetes knowledge and attitude &
  0.244 &
  0.000\\
Prediabetes knowledge and practice &
  0.20 &
  0.000\\
Prediabetes attitudes and practice &
  0.161 &
  0.005\\
\tblbottomrule 
\end{tabulary}\par 
\end{table*}
Moreover, this Asian Indian phenotypes immigrated to developed countries resulted in nutrition and economic transformations in India, which would double the chances of diabetes and prediabetes cases shortly \unskip~\citep{819612:19595591}. High prevalence of impaired glucose tolerance in India indicates the large pool of population with high potential to develop diabetes in the coming years \unskip~\citep{819612:19595633}. Since it is an asymptomatic silent killer disease, there is a real need for effective screening for primary prevention of diabetes \unskip~\citep{819612:19595638}. Identification of prediabetic population through mass screening, assessing their awareness on the disease and improving their Knowledge, Attitude and Practice (KAP) would be an urgent step to be taken in a country like India \unskip~\citep{819612:19595586}. An estimated 70\% of Prediabetes eventually develops diabetes indicates the importance of prediabetes screening and initiation of lifestyle modification among them \unskip~\citep{819612:19595637}. Education already proved to be a potent weapon to fight against diabetes and its complications. Still, it would be more effective if the level of knowledge, attitude and practice is prior assessed \unskip~\citep{819612:19595587}. Awareness and motivation are the two significant factors which aid in self-management and disease prevention. Questionnaires would be an effective and efficient tool to collect an enormous amount of data from a large sample of the population. Presently there is a lack of validated and reliable KAP instruments for Prediabetes.

Moreover, no KAP questionnaire survey was conducted among Prediabetes, especially in India. Such data is essential to plan preventive measures and public health policies in a developing country like India. Therefore, the objective of this study was to assess Knowledge, Attitude and Practice among newly diagnosed Prediabetes participated in the prediabetes screening program organised over selected districts of Kerala and Tamilnadu. 

\textbf{Aim}

This study aimed to assess the Knowledge, Attitude and Practice among Prediabetes screened over four districts of south India, including Kerala and Tamilnadu.
    
\section{Materials and Methods}
\textbf{Study Setting }

We conducted this study through prediabetes screening camps held in districts of Calicut, Wayanad and Malappuram in Kerala andThe Nilgiris district in Tamilnadu from September 2017 to October 2019 under the supervision of doctors from Aster Wayanad Speciality Hospital, Wayanad, Kerala, India. The blood testing was carried out at VrindavanLab and Diagnostic Centre, Wayanad, Kerala. 

\textbf{Ethical Considerations }

The Institutional Review Board (IRB) of JSS College of Pharmacy, Ooty, India approved this prospective study (Approval number: JSSCP/DPP/IRB/06/2015-16) and the doctors who were willing to join this prediabetes screening camps given their written consent. Questionnaire respondents were provided written, informed consent to participate in the study. 

\textbf{Study design }

This questionnaire survey was part of a prospective open-label interventional study funded by Department of Science and Technology, New Delhi (SR/WOS-B/746/2016) conducted in 30 places in 4 districts of south India including Kerala and Tamilnadu.

\textbf{Study population}

The study population was newly diagnosed Prediabetes group. They were screened through prediabetes screening camps conducted over the districts of Calicut, Wayanad and Malappuram in Kerala and The Nilgiris district of Tamilnadu. The inclusion criteria were male \& female subject's age between 25-55 years having impaired fasting glucose, HbA1c5.5 to 6.4 and who consented to participate in the study. Known type 2 diabetes mellitus patients, pregnant and lactating women, Type 1 DM and other types of diabetes, patients with significant hepatic and renal dysfunction, patients with severe macro-vascular and microvascular complications were excluded from this questionnaire survey. We determined that the detected 308 prediabetic subjects make an adequate sample size after adding 5\% non-response. It was found to be sufficient to decide association with other variables having a 95\% confidence interval with \ensuremath{\alpha }= 0.05, power of 0.90 calculated using power analysis and sample size software. 

\textbf{Data collection}

This questionnaire was developed by present researchers to collect data from the prediabetes population. It was developed and validated through a standardised methodology that included steps such as conceptualisation, literature review, questionnaire design, experts review, pre-test, pilot tests and also validation procedures like face validity, factor analysis and Cronbach's alpha. This questionnaire is interviewer-administered, and interviewing technique was a conversational interview. Questions were written in simple English language concise and clear that even grade seven can answer.  Prediabetes, who agreed to participate in the study signed informed consent. All the respondents were assured of confidentiality and anonymity. The data collected from the subjects included baseline demographic characteristics, anthropometric measurements, past medical history, values of blood variables, knowledge, attitude and their usual practice. The average time taken to complete the questionnaire ranged from 15 to 20 minutes.

\textbf{Scoring on the questionnaires }

Knowledge, Attitude and  Practice - Prediabetes Assessment Questionnaire (KAP-PAQ) had ten questions on knowledge mostly regarding benefits of exercise, calorie restriction and weight loss.10 questions on attitude especially their attitude towards lifestyle modification, myths and beliefs and also ten questions on lifestyle modification practices. In the knowledge section, out of the ten multiple-choice questions, each correct answer by the participant can earn a score of '1' and each incorrect answer makes a score of '0'. Out of the total 17 marks, below ten marks were 'Poor knowledge', 10 to 13 marks were 'Average knowledge', and 14 to 17 scores were 'Good knowledge'. Responses to the item evaluating attitudes towards Prediabetes were 3 points like rt scale (Strongly disagree, Neither Agree nor Disagree, Strongly agree). Each correct attitude can score '1', wrong attitude scores '-1' and neutral attitude scores '0'.Out of the total ten marks, less than 0 were considered strongly negative attitude, 0 to 2 as a negative attitude, 3 to 6 as neutral attitude, and 7 to 8 as positive attitude and 9 to 10 as strongly positive attitude. In the practice section as per weightage of their excellent practices can score 4 or 2 or 1 marks and bad practice '0' marks. Out of total 26 marks below six targets were considered deplorable practice, 7 to 13 as poor practice, 14 to 20 as good practice and above 20 as perfect practice. 

\textbf{Reliability and validity }

A pilot study on 100 prediabetic subjects was done, and the questionnaire was refined according to the feedback received from the pilot study. The questionnaire was also pre-tested on 40 subjects. Factor analysis and Cronbach's alpha were used to establish the validity and reliability of the questionnaire.  Kaiser {\textendash}Meyer Olkin test was done to show attitude items meet the criteria required for factor analysis.

\textbf{Data analysis }

The data from the questionnaires were captured in Microsoft excel 2007 and exported to SPSS Statistics for Windows, version 22 (SPSS Inc., Chicago) where they were analysed by a statistician using descriptive statistics. Linear correlation and P-values were calculated to ascertain the statistical significance of key findings.
    
\section{Results and Discussion}
\textbf{Baseline characteristics of the respondents}

A total of 2990 subjects satisfying the inclusion criteria of the study were screened from both states of Kerala and Tamilnadu. Among which, 315 prediabetes obtained were recruited for the study. The 5\% non-response rate when looked upon, 7 were not interested in participating, and 308 prediabetes were involved in this study.  The total prevalence of 9.8\% was detected from selected districts of Kerala, and 12\% was detected fromThe Nilgiris district of Tamilnadu state of south India. Out of this 308 participants, 158 (51.3\%) was male, and an equal proportion of 150 (48.7\%) was female. 178 (57.8\%) participants were recruited from the urban area, while 130 (42.2\%) participants were recruited from the rural area. The religion distribution of the participants was Muslims 106 (34.4\%), 101 (32.8\%) were Hindus, and 101 (32.8\%) were Christians. Around 86\% were married, and about 8 per cent were unmarried, while approximately 6\% were widow/ separated. Diet pattern of prediabetics shown that 255 (82.8\%) were non-vegetarians, and 53 (17.2\%) were vegetarians. Demographic details like age distribution, education status, occupation, BMI and waist to hip ratio shown in Table~\ref{tw-0c9488af3241}. Characteristics like smoking, alcohol intake and usual practice of blood check-up, family history of diabetes and level of physical activity are given in Table~\ref{tw-22337d47ce4c}. 

\textbf{Assessment of knowledge on Prediabetes}

Table~\ref{tw-b11886c61c1b} represents the response of participant's knowledge on Prediabetes. The finding of the present study revealed that 277 out of 308 (89.9\%) had poor knowledge of Prediabetes. We found that 28 subjects (9.1\%) had average knowledge and three subjects (1\%) only had good knowledge of Prediabetes. 44 prediabetes (14.3\%) scored 0 marks which even included graduates and professionals.

\textbf{Assessment of attitude towards Prediabetes}

Only 6 (1.9\%) had a strongly positive attitude, 43 (14\%) had a positive attitude, 165 (53.6\%) had neutral attitude while 53 (17.2\%) had a negative attitude and 41 (13.3\%) had a powerfully negative attitude{\textemdash}Table~\ref{tw-1db79137f0f8} shows Prediabetes responses (n=308) towards attitude questions.

\textbf{Assessment of practice among Prediabetes}

Table~\ref{tw-6f30c4843b1a}- represents the response of participant's practice on Prediabetes. Regarding healthy lifestyle practices, 35.4\% (n=109) had deplorable practice who scored below 6. Around half of the population 52.3\% (n=161) had poor practice while 12\% (n=37) had good practice while only 0.3\% (n=1) had very good practice. Almost all of these newly diagnosed Prediabetes did not follow any controlled balanced or planned diet. Majority of the participants, 44.5\% (n=137) reported that they did not perform any regular exercises and 79.9\% (n=246) undergone only light physical activity in their daily routines. 

\textbf{Correlation between knowledge, attitude and practice among Prediabetes}

Table~\ref{tw-5edc9042174e} shows a positive Pearson correlation of 0.244 (p=0.000). The correlation between the knowledge level and attitude level of Prediabetes; a significant positive Pearson correlation of 0.20 (p=0.000) between knowledge level and practice level; and also a positive Pearson correlation of 0.161 (p=0.005) between the attitude level and practice level was observed among our study respondents.

We could not establish a solid comparison of this study with existing pieces of literature due to the inadequacy of published writings in this area. This study was conducted with an equal proportion of male and female in the rural and urban regions of selected south Indian districts. Majority of the participants, 55.2\% (n=170) had a high school education, and the term prediabetes itself was new to them. This study was conducted in the age group of 25-55 years, and we could assess that after screening more cases were detected with increasing age. Our reviews also revealed that majority of the cases was obtained in the age group of 40 to 55 years as it already proved that increasing age and family history are the two non-modifiable risk factors for Prediabetes \unskip~\citep{819612:19595538}. 56\% (n=171)of the individuals had a positive family history of diabetes which implies their genetic contributions to their aetiology. Only 17.2\% (n=53) were from the executive/business class while 82.8\% (n=255) were skilled/unskilled labourers, and those doing household jobs. The main objective of this study was to assess the awareness level among the ordinary people of the society who don't have much access to the continuing health education programs. The high prevalence of overweight (52.9\%) and obesity (24.4\%) among the participants was similar to the findings in 2019 by another Kerala prediabetes study where their prevalence of overweight and obesity was quite high (46\%) in their cohort \unskip~\citep{819612:19595537}. Another critical finding during prediabetes screening is that 51\% (n=157) had high and 42.8\% (n=132) had moderate waist to hip ratio. This finding supports the fact that abdominal obesity is a significant health issue associated with glucose intolerance, insulin resistance, hyperinsulinemia and subsequent progression to type 2 diabetes mellitus \unskip~\citep{819612:19595534}. The current study shows that the usual practice of blood check-up was too low among the south Indian population. Around 70\% of the study population did their blood tests long back/never, 21.8\% (n=67) did their check-up yearly, and only 8.8\% (n=27) did test every six months that clears the fact that 50\% of those with diabetes and Prediabetes remain undiagnosed in India. 

In terms of knowledge assessment, only 25\% (n=79) knew that prediabetes condition could lead to type 2 diabetes. Most of them were unable to distinguish between type 1 and type 2 diabetes mellitus. Even though 56\% of the Prediabetes had a solid family history of diabetes, only 23.1\% (n=71) know that more than 50 per cent chance is there to get diabetes if both their parents have type 2 diabetes. Only 32\% of the participants know that blood testing is the best method for detecting prediabetes condition. This lack of knowledge shows the reason behind the lack of blood tests and screening among this population. 70\% (n=216) were unable to choose the fasting blood glucose, typical values, and 73\% (n=224) don't know what HbA1c and other related blood glucose tests are. Only 13\% (n=41) understood the importance of testing insulin levels along with glucose levels in Prediabetes which indicate they are ignorant about insulin resistance and prediabetes conditions. Around 50\% (n=153) knew that diet control and exercise is the preferred recommendation for Prediabetes, while the rest was unaware of it. Approximately 53\% (n=163) knew that exercises should be performed five days a week for at least 30 mins, but only 3.9\% (n=12) carried it out in their daily routine.  This finding was similar to the results of 2019 diabetes study in urban Tamilnadu where only 33\% of them engaged in recreational activities, and others spent an average of 7 hours per day on sedentary behaviour \unskip~\citep{819612:19595536}. Only 18.2\% (n= 56) had the information that even moderate weight loss in obese subjects play a vital role in diabetes prevention. Even a 5\% weight loss can improve pancreatic \ensuremath{\beta }-cell function and the sensitivity of liver and skeletal muscle to insulin \unskip~\citep{819612:19595589}. Regarding the diet pattern to be followed by Prediabetes, 44\% answered high fibre foods, while 18\% given the option foods rich in carbohydrates. 23.4\% reported high-fat foods, while 15\% still believed that soft drinks and energy drinks are good for Prediabetes. These different findings may be due to the differences in the literacy level and the availability of information regarding diabetes and Prediabetes to them. 

Attitude touch on their feelings, beliefs as well as preconceived ideas they may have towards this condition. Surprisingly we could find that 17.2\% (n=53) had a negative attitude and 13.3\% (n=41) had strongly negative approach towards Prediabetes and its management. Majority of the participants 60\% (n=181) still believed that they could do a lot for their fight against Prediabetes as well as 62\% (n=191) had a positive attitude that Prediabetes should always keep their blood sugar close to normal. One of the vital questions that showed the negative attitude and depression among the newly diagnosed Prediabetes was `control of blood sugar is difficult in prediabetes'. Only 25\% (n=77) disagreed with this statement.  Another question that portrayed the anxiety and subsequent underlying depression symptom among this newly diagnosed Prediabetes was the statement `There is not much use in blood sugar control in prediabetes because type 2 diabetes mellitus will happen anyway'. Only 33\% (n=103) disagreed to this statement while 35\% (n=108) strongly agreed, and the rest of them had a neutral attitude to it. A similar study conducted on Prediabetes and depression in 2016 stated that combination of Prediabetes and depressive or anxiety symptoms were strongly associated with an increased risk of developing diabetes \unskip~\citep{819612:19595535}. Even in this modern era, 21\% (n=64) among 308 still believed the myth that Prediabetes happens only to a cursed person and 36\% (n=111) gave a neutral response to this statement. Most of them had a positive attitude towards the comments Prediabetes should be taught about diabetes mellitus and lifestyle modifications 76\% (n=234) and 66\%  (n=203) respectively. 61\% (n=188) agreed that prediabetes condition is ignored much by society. The mixed response was obtained for the statement support from family is important in dealing with Prediabetes in which only 56\% agreed to it. Half of the population 52.3\% (n=161) only had a positive attitude that they can lead a healthy life despite Prediabetes. Emotional well-being is paramount in any disease management. Comorbid depression can worsen glycemic control which is often undiagnosed and untreated \unskip~\citep{819612:19595590}. So screening for depression and anxiety in the prediabetes stage itself is highly beneficial. 

Concerning the practice of regular exercise like cycling or walking or yoga, majority of the participants 45\% (n=137) did not perform any workout in their daily routine, and only 3.9\% (n=12) did the exercise for 3 to 6 hrs{\textemdash}a week.  Low physical activity and sedentary behaviour are vital drivers of hyperglycaemia \unskip~\citep{819612:19595581}. One of the main findings of our study is that nearly 60\% (n=186) of the participants were found to have frequent consumption of sugar-sweetened carbonated beverages as sugar-sweetened beverage intake may contribute to the risk of developing T2DM \unskip~\citep{819612:19595584}. Only 26\% (n=79) had the habit of substituting fibre rich foods like oats, whole grains, fruits and vegetable salads over healthy meals. Around 57\% (n=176) had the habit of sleeping less than 6 hours per night in a week. Previous studies have proven that sleep deprivation is associated with insulin resistance and glucose intolerance \unskip~\citep{819612:19595639}. Half of the population around 46.1\% (n=142) had the usual practice of skipping meals, and 82\% (n=252) had the habit of regular consumption of high-fat foods like fried snacks and meat, fast foods and chocolates.  Consumption of foods with high fat combined with lower intake of foods with fibre such as fruits, vegetables, and whole grains can increase the risk of diabetes \unskip~\citep{819612:19595640}. Nearly 77\%  (n=236) had the habit of distracted eating while watching TV/ using mobile phones and reading books. Attending to food and encoding and retrieving memories of recently eaten foods play an important role in appetite via influences on meal size and the inter-meal interval which helps in weight loss \unskip~\citep{819612:19595580}. We could also find that around 42\% (n=128) of respondents spends a long time in front of TV/ computer in a day. Relatively high amounts of sedentary time exceptionally prolonged sitting have been associated with a significantly higher risk for developing type 2 diabetes and metabolic syndrome \unskip~\citep{819612:19595588}. Only 2.9\% (n=9) and 20.5\% (n=63) did regular blood check-ups of diabetes and cholesterol levels respectively among this screened Prediabetes. Individuals known to have diabetes represent only the tip of the iceberg, as an equal or even more significant number of patients have undiagnosed diabetes in India \unskip~\citep{819612:19595635}. These results suggest that special attention and increased care are required for the prediabetes population who are at high risk of developing diabetes shortly.

A Pearson correlation coefficient was carried out to assess the relationship between the knowledge, attitude and practice among the Prediabetes. The correlation was significant at the 0.01 level (2-tailed). The significant positive correlation (p=0.000) between the knowledge level and attitude level among Prediabetes indicates that the more knowledge they attain, more chances to develop a positive attitude towards disease management. A significant positive correlation (p=0.000) between knowledge level and practices indicates that more knowledgeable the participants better would be their lifestyle practices. A positive relationship (p=0.005) between attitude levels and practices suggests that developing a positive attitude among Prediabetes can significantly better their lifestyle practices. Proper education and guidance towards diabetes will make a significant improvement in lifestyle, which will be helpful for reasonable glycaemic control \unskip~\citep{819612:19595583}. 
    
\section{Conclusions}
Proper education and awareness programs have previously been shown to change the attitude of the public towards disease management. Improving knowledge of the people can improve their attitude towards Prediabetes and diabetes, which subsequently change their practices to adopt healthy lifestyles like calorie restriction, proper sleep and regular physical activity. There is a shortage of trained personnel like diabetes educators in India to provide education about diabetes and its future complications to the public. Further research needs to be done regarding the felt needs of this population for effective diabetes prevention in India.
    
\section{Acknowledgement}
We sincerely thank Department of Science and Technology, Govt. of India, New Delhi and JSS Academy of Higher Education \& Research, Mysuru, India for providing all the necessary facilities.

\textbf{Conflict of Interest}

None.

\textbf{Financial Support}

Department   of Science and Technology, Govt. of India, New Delhi for providing financial support for this project through Women Scientist Scheme- B (WoS-B) to Ms Mohsina Hyder (SR/WOS-B/746/2016).
    

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