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Devi Medical Table.doc

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Devi Medical Table.doc

  1. 1. Knowledge Demo graphic K1 K2 K3 K4 K5 K6 K7 K8 K9 K10 K11 K12 K13 K14 K15 K16 K17 K18 K19 K20 Place - - - - - - - - - - - - - - - - - - - - Age .174 .272 .287 .270 -.057 .395* .030 .043 .047 .287 .346 .316 .261 .323 .288 .495* .247 .264 .317 .337 Sex .143 .275 .256 .131 .092 .286 .014 -.101 .008 .335 .233 .246 .284 .305 .154 .242 .119 .263 .396 .389 Religion .020 .157 .081 .178 .061 -.134 .062 .098 .147 .120 .313 .392 .288 .296 .168 .234 .183 .323 .266 .239 Weight -.406* .411* .185 .252 .019 .390* .265 .364* .236 .120 .271* .666* .313 .305 .250 .390* .189 .280 .271 .449 Education .053 .278 .176 .125 -.031 .064 .139 -.085 .053 .050 .166 .254 .160 .203 -.111 .164 .287 .228 .215 .327 Marital status -.003 .040 .388* -.020 .126 -.224 .010 .240 -.086 .084 .120 .211 .342 .103 .169 .153 .142 .108 .266 .255 Occupation .150 .098 .123 .083 .190 .216 .011 .083 .255 .088 .221 .287 .176 .230 .255 .216 .233 .174 .347 .225 Monthly income .235 .033 .017 .382* .150 .219 .079 .422* .109 .299 .394 .163 .103 .355 .223 .309 .135 .222 .390 .220 Eating habit .234 .000 .000 .087 .263 .054 .236 -.053 -.140 .247 .303 .181 .251 .235 .377 .154 .226 .146 .422 .365 Reading health magazine .000 -.150 .231 .022 -.066 -.135 .000 .213 .209 .411* .225 .181 .305 .100 .230 .216 .163 .159 .275 .465 Personal habits .059 .043 -.169 -.110 -.269 .313 .045 .401* .305 .628 .339 .115 .249 .248 .210 .313 .220 .228 .304 .317 * Significant at the 0.05 level The above table shows the correlation between demographic characters and knowledge about blood pressure. After conducting training programme, the respondents knowledge is significantly changes. So that there is a relationship between demographic variable and knowledge of hypertension before and after the teaching programme
  2. 2. Practice Demo graphic P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 Place - - - - - - - - - - - - - - - - - - - - Age .039 - .026 .141 .277 .038 .105 .013 .058 .123 - - .228 .328 .231 .328 - - .244 .220 Sex .148 - -.002 -.036 .247 .133 -.084 .094 -.162 .157 - - .286 .448 .230 .386 - - .378 .214 Religion -.034 - .104 .159 .128 .087 .371* -.083 .000 .407* - - .234 .434 .170 .334 - - .212 .867** Weight .148 - .086 .256 .056 .127 .274 -.311 .193 .375* - - .229 .448 .240 .248 - - .283 .282 Education .255 - .266 .004 .141 .345 .134 .107 .116 .024 - - .355 .278 .332 .344 - - .284 .340 Marital status .122 - .062 -.263 .444* .308 .062 -.209 .060 .124 - - .222 .422 .446 .426 - - .242 .218 Occupation .129 - .187 .123 .241 .328 -.182 .133 .450* .206 - - .155 .329 .259 .340 - - .245 .211 Monthly income .337 - -.052 .034 -.238 .217 .118 .247 .000 .406* - - .202 .402 .309 .202 - - .224 .473** Eating habit .131 - .036 -.202 .148 .190 .177 .063 .000 -.022 - - .231 .331 .268 .331 - - .367 .336 Reading health magazine .131 - .072 .404* -.084 .190 .177 .063 -.274 .044 - - .331 .231 .338 .431 - - .367 .218 Personal habits .275 - .160 .043 .008 .086 -.017 .030 .130 .058 - - .275 .100 .315 .100 - - .308 .323 * Significant at the 0.05 level ** Significant at the 0.01 level The above table shows the correlation between demographic characters and practice about blood pressure. After conducting training programme, the respondents knowledge is significantly changes. So that there is a relationship between demographic variable and practice of hypertension before and after the teaching programme

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