{"id":66355,"date":"2026-03-18T05:10:29","date_gmt":"2026-03-18T05:10:29","guid":{"rendered":"http:\/\/zydq.1006ss.com\/?p=66355"},"modified":"2026-03-18T05:10:29","modified_gmt":"2026-03-18T05:10:29","slug":"r%e8%af%ad%e8%a8%80%e4%bd%bf%e7%94%a8dietaryindex%e5%8c%85%e8%ae%a1%e7%ae%97nhanes%e6%95%b0%e6%8d%ae%e5%a4%9a%e7%a7%8d%e8%90%a5%e5%85%bb%e6%8c%87%e6%95%b0%ef%bc%882%ef%bc%89","status":"publish","type":"post","link":"http:\/\/zydq.1006ss.com\/?p=66355","title":{"rendered":"R\u8bed\u8a00\u4f7f\u7528dietaryindex\u5305\u8ba1\u7b97NHANES\u6570\u636e\u591a\u79cd\u8425\u517b\u6307\u6570\uff082\uff09"},"content":{"rendered":"

\u5065\u5eb7\u996e\u98df\u6307\u6570(HEI) \u662f\u8bc4\u4f30\u4e00\u7ec4\u98df\u7269\u662f\u5426\u7b26\u5408\u7f8e\u56fd\u4eba\u81b3\u98df\u6307\u5357 (DGA) \u7684\u6307\u6807\u3002Dietindex\u5305\u63d0\u4f9b\u7528\u6237\u53cb\u597d\u7684\u7b80\u5316\u65b9\u6cd5\uff0c\u5c06\u996e\u98df\u6444\u5165\u6570\u636e\u6807\u51c6\u5316\u4e3a\u57fa\u4e8e\u6307\u6570\u7684\u996e\u98df\u6a21\u5f0f\uff0c\u4ece\u800c\u80fd\u591f\u8bc4\u4f30\u6d41\u884c\u75c5\u5b66\u548c\u4e34\u5e8a\u7814\u7a76\u4e2d\u5bf9\u8fd9\u4e9b\u6a21\u5f0f\u7684\u9075\u5b88\u60c5\u51b5\uff0c\u4ece\u800c\u4fc3\u8fdb\u7cbe\u51c6\u8425\u517b\u3002\u8be5\u8f6f\u4ef6\u5305\u53ef\u4ee5\u8ba1\u7b97\u4ee5\u4e0b\u996e\u98df\u6a21\u5f0f\u6307\u6570\uff1a\u00b7 2020 \u5e74\u5065\u5eb7\u996e\u98df\u6307\u6570\uff08HEI2020 \u548c HEI-Toddlers-2020\uff09\u00b7 2015 \u5e74\u5065\u5eb7\u996e\u98df\u6307\u6570 (HEI2015)\u00b7 \u53e6\u7c7b\u5065\u5eb7\u996e\u98df\u6307\u6570\uff08AHEI\uff09\u00b7 \u63a7\u5236\u9ad8\u8840\u538b\u6307\u6570 (DASH) \u7684\u996e\u98df\u65b9\u6cd5\u00b7 DASH \u8bd5\u9a8c\u4e2d\u7684 DASH \u4efd\u91cf\u6307\u6570 (DASHI)\u00b7 \u66ff\u4ee3\u5730\u4e2d\u6d77\u996e\u98df\u8bc4\u5206 (aMED)\u00b7PREDIMED \u8bd5\u9a8c\u4e2d\u7684 MED \u4efd\u91cf\u6307\u6570 (MEDI)\u00b7 \u81b3\u98df\u708e\u75c7\u6307\u6570(DII)\u00b7 \u7f8e\u56fd\u764c\u75c7\u534f\u4f1a2020 \u5e74\u996e\u98df\u8bc4\u5206\uff08ACS2020_V1 \u548cACS2020_V2\uff09\u00b7EAT-Lancet \u59d4\u5458\u4f1a (PHDI) \u7684\u884c\u661f\u5065\u5eb7\u996e\u98df\u6307\u6570\u4e0a\u4e00\u671f\u54b1\u4eec\u54b1\u4eec\u521d\u6b65\u4ecb\u7ecd\u4e86dietaryindex\u5305\u8ba1\u7b97\u81b3\u98df\u6307\u6570\uff0c\u8fd9\u671f\u54b1\u4eec\u7ee7\u7eed\u4ecb\u7ecd\u3002\u5148\u5bfc\u5165\u9700\u8981\u7684R\u5305library(ggplot2)library(dplyr)library(tidyr)library(dietaryindex)library(survey)options(survey.lonely.psu= ‘adjust’) ##\u89e3\u51b3\u4e86\u5c06\u8c03\u67e5\u6570\u636e\u5206\u7ec4\u5230\u5c0f\u7ec4\u7684\u5b64\u72ecpsu\u95ee\u9898\u5bfc\u5165R\u5305\u81ea\u5e26\u7684\u6570\u636e\uff0c\u5176\u4e2dDASH_trial\u548cPREDIMED_trial\u662f\u4e34\u5e8a\u8bd5\u9a8c\u7684\u6570\u636e\uff0cNHANES_20172018\u6570\u636e\u5c5e\u4e8e\u4e34\u5e8a\u6d41\u884c\u75c5\u5b66\u7684\u7814\u7a76\u3002\u5047\u8bbe\u54b1\u4eec\u60f3\u7814\u7a76\u4e34\u5e8a\u8bd5\u9a8c\u6570\u636e\u7684\u81b3\u98df\u6307\u6570\u548c\u6d41\u884c\u75c5\u5b66\u4e2d\u7684\u81b3\u98df\u6307\u6570\u7531\u4ec0\u4e48\u4e0d\u540c\uff1fdata(‘DASH_trial’)data(‘PREDIMED_trial’)data(‘NHANES_20172018’)\u5148\u8bbe\u7f6e\u4e00\u4e0b\u54b1\u4eec\u7684\u76ee\u5f55setwd(‘E:\/\u516c\u4f17\u53f7\u6587\u7ae02024\u5e74\/dietaryindex\u5305\u8ba1\u7b97\u8425\u517b\u6307\u6570’)\u5bfc\u5165R\u5305\u5173\u4e8e\u8bbe\u7f6e\u597d\u7684\u8425\u517b\u6307\u6570\u7684\u6570\u636e\uff0c\u8fd9\u4e2a\u6570\u636e\u9700\u8981\u5230\u4f5c\u8005\u7684\u4e3b\u9875\u7a7a\u95f4\u4e0b\u8f7d\uff0c\u5982\u679c\u9700\u8981\u6211\u4e0b\u8f7d\u597d\u7684\uff0c\u516c\u4f17\u53f7\u56de\u590d\uff1a\u4ee3\u7801# Loadthe NHANES data from 2005 to 2018##NHANES 2005-2006load(‘NHANES_20052006.rda’)## NHANES2007-2008load(‘NHANES_20072008.rda’)##NHANES 2009-2010load(‘NHANES_20092010.rda’)##NHANES 2011-2012load(‘NHANES_20112012.rda’)##NHANES 2013-2014load(‘NHANES_20132014.rda’)##NHANES 2015-2016load(‘NHANES_20152016.rda’)\u8fd9\u91cc\u54b1\u4eec\u4ee5DASHI\u996e\u98df\u6307\u6570\u548c\u5730\u4e2d\u6d77 MEDI \u81b3\u98df\u6307\u6570\u4e3a\u4f8b\u5b50\uff0c \u5229\u7528DASH\u548cMEDI\u996e\u98df\u6307\u6570\uff0c\u5bf92017-2018\u5e74\u4e34\u5e8a\u8bd5\u9a8c\uff08\u5373DASH\u548cPREDIMED\uff09\u7684\u7ed3\u679c\u4e0e\u6d41\u884c\u75c5\u5b66\u7814\u7a76\uff08\u5373NHANES\uff09\u7684\u7ed3\u679c\u8fdb\u884c\u5bf9\u6bd4\u5206\u6790\u3002# \u8ba1\u7b97DASHI\u996e\u98df\u6307\u6570\uff08\u57fa\u4e8e\u8425\u517b\u7d20\uff09\uff0c\u5373\u505c\u6b62\u9ad8\u8840\u538b\u7684\u996e\u98df\u65b9\u6cd5\uff0c\u4f7f\u7528\u6bcf1\u5929\u6444\u5165\u7684\u8425\u517b\u7d20\u3002# \u6240\u6709\u8425\u517b\u7d20\u5c06\u9664\u4ee5\uff08\u603b\u80fd\u91cf\/2000 kcal\uff09\u4ee5\u8c03\u6574\u80fd\u91cf\u6444\u5165DASHI_DASH = DASHI( SERV_DATA = DASH_trial, #\u539f\u59cb\u6570\u636e\u6587\u4ef6\uff0c\u5305\u62ec\u6240\u6709\u4efd\u91cf\u7684\u98df\u7269\u548c\u8425\u517b\u7d20 RESPONDENTID = DASH_trial$Diet_Type, #\u6bcf\u4e2a\u53c2\u4e0e\u8005\u7684\u552f\u4e00\u53c2\u4e0e\u8005ID TOTALKCAL_DASHI = DASH_trial$Kcal, #\u603b\u80fd\u91cf\u6444\u5165 TOTAL_FAT_DASHI = DASH_trial$Totalfat_Percent, #\u603b\u8102\u80aa\u6444\u5165\u91cf SAT_FAT_DASHI = DASH_trial$Satfat_Percent, #\u9971\u548c\u8102\u80aa\u6444\u5165\u91cf PROTEIN_DASHI = DASH_trial$Protein_Percent, #\u86cb\u767d\u8d28\u6444\u5165\u91cf CHOLESTEROL_DASHI = DASH_trial$Cholesterol, #\u80c6\u56fa\u9187\u6444\u5165\u91cf FIBER_DASHI = DASH_trial$Fiber, #\u7ea4\u7ef4\u6444\u5165\u91cf POTASSIUM_DASHI = DASH_trial$Potassium, #\u94be\u6444\u5165\u91cf MAGNESIUM_DASHI = DASH_trial$Magnesium, #\u9541\u6444\u5165\u91cf CALCIUM_DASHI = DASH_trial$Calcium, #\u9499\u6444\u5165\u91cf SODIUM_DASHI = DASH_trial$Sodium) #\u94a0\u6444\u5165\u91cf\u8ba1\u7b97\u5730\u4e2d\u6d77MEDI \u81b3\u98df\u6307\u6570\uff08\u57fa\u4e8e\u98df\u7528\u91cf\uff09\uff0c\u4f7f\u7528\u7ed9\u5b9a\u7684 1 \u5929\u6444\u5165\u7684\u98df\u7269\u548c\u8425\u517b\u7d20\u7684\u98df\u7528\u91cfMEDI_PREDIMED = MEDI( SERV_DATA = PREDIMED_trial, #\u6570\u636e\u6587\u4ef6 RESPONDENTID = PREDIMED_trial$Diet_Type, #\u6bcf\u4f4d\u53c2\u4e0e\u8005\u7684\u552f\u4e00 ID OLIVE_OIL_SERV_MEDI = PREDIMED_trial$Virgin_Oliveoil,#\u6a44\u6984\u6cb9\u7684\u98df\u7528\u5206\u91cf FRT_SERV_MEDI = PREDIMED_trial$Fruits, #\u6240\u6709\u5168\u679c\u7684\u98df\u7528\u5206\u91cf VEG_SERV_MEDI = PREDIMED_trial$Vegetables, #\u9664\u9a6c\u94c3\u85af\u548c\u8c46\u7c7b\u4ee5\u5916\u7684\u6240\u6709\u852c\u83dc\u7684\u98df\u7528\u91cf LEGUMES_SERV_MEDI = PREDIMED_trial$Legumes, #\u8c46\u7c7b\u852c\u83dc\u7684\u98df\u7528\u5206\u91cf NUTS_SERV_MEDI = PREDIMED_trial$Total_nuts, #\u575a\u679c\u548c\u79cd\u5b50\u7684\u98df\u7528\u91cf FISH_SEAFOOD_SERV_MEDI = PREDIMED_trial$Fish_Seafood, #\u9c7c\u7c7b\u6d77\u4ea7\u54c1\u7684\u98df\u7528\u5206\u91cf ALCOHOL_SERV_MEDI = PREDIMED_trial$Alcohol, #\u9152\u7cbe\u7684\u98df\u7528\u91cf\uff0c\u5305\u62ec\u8461\u8404\u9152\u3001\u5564\u9152\u3001’\u6de1\u5564\u9152’\u3001\u767d\u9152 SSB_SERV_MEDI = PREDIMED_trial$Soda_Drinks, #\u6240\u6709\u542b\u7cd6\u996e\u6599\u7684\u98df\u7528\u91cf SWEETS_SERV_MEDI = PREDIMED_trial$Sweets, #\u6240\u6709\u751c\u98df\uff08\u5305\u62ec\u7cd6\u679c\u3001\u5de7\u514b\u529b\u3001\u51b0\u6dc7\u6dcb\u3001\u997c\u5e72\u3001\u86cb\u7cd5\u3001\u6d3e\u3001\u7cd5\u70b9\uff09 DISCRET_FAT_SERV_MEDI = PREDIMED_trial$Refined_Oliveoil, #\u914c\u5b9a\u8102\u80aa\u98df\u7528\u5206\u91cf,\u5305\u62ec\u9ec4\u6cb9\u3001\u4eba\u9020\u9ec4\u6cb9\u3001\u86cb\u9ec4\u9171\u3001\u6c99\u62c9\u9171 REDPROC_MEAT_SERV_MEDI = PREDIMED_trial$Meat) #\u7ea2\u8089\u548c\u52a0\u5de5\u8089\u7c7b\u63a5\u4e0b\u6765\u5c31\u662f\u5bf9NHANES\u8fdb\u884c\u8ba1\u7b97\u5bf92017-2018\u5e74\u7b2c 1 \u5929\u548c\u7b2c 2 \u5929 NHANES \u6570\u636e\u8bbe\u7f6e\u8c03\u67e5\u8bbe\u8ba1\uff0c\u5148\u53bb\u6389\u7f3a\u5931\u503c##\u8fc7\u6ee4\u6389\u6743\u91cd\u53d8\u91cf WTDR2D \u7684\u7f3a\u5931\u503cNHANES_20172018_design_d1d2= NHANES_20172018$FPED %>% filter(!is.na(WTDR2D))\u8ba1\u7b97\u5404\u4e2a\u6307\u6570##NHANES
\n2017\u5e74\u81f32018\u5e74#DASHI\u7b2c1\u5929\u548c\u7b2c2\u5929,NUTRIENT\u4e3a\u7b2c\u4e00\u5929\u6570\u636e\uff0cNUTRIENT2\u4e3a\u7b2c\u4e8c\u5929\u6570\u636e#\u5728 1 \u4e2a\u6b65\u9aa4\u5185\u8ba1\u7b97 NHANES_FPED \u6570\u636e\uff082005 \u5e74\u4ee5\u540e\uff09\u7684 DASHI\uff08\u57fa\u4e8e\u8425\u517b\u7d20\uff09DASHI_NHANES= DASHI_NHANES_FPED(NUTRIENT_PATH=NHANES_20172018$NUTRIENT, NUTRIENT_PATH2=NHANES_20172018$NUTRIENT2)# MEDI
\nfor \u7b2c1\u5929\u548c\u7b2c2\u5929MEDI_NHANES= MEDI_NHANES_FPED(FPED_IND_PATH=NHANES_20172018$FPED_IND,NUTRIENT_IND_PATH=NHANES_20172018$NUTRIENT_IND,FPED_IND_PATH2=NHANES_20172018$FPED_IND2, NUTRIENT_IND_PATH2=NHANES_20172018$NUTRIENT_IND2)# DASH
\nfor \u7b2c1\u5929\u548c\u7b2c2\u5929DASH_NHANES= DASH_NHANES_FPED(NHANES_20172018$FPED_IND, NHANES_20172018$NUTRIENT_IND,NHANES_20172018$FPED_IND2, NHANES_20172018$NUTRIENT_IND2)# MED
\nfor \u7b2c1\u5929\u548c\u7b2c2\u5929MED_NHANES= MED_NHANES_FPED(FPED_PATH=NHANES_20172018$FPED,NUTRIENT_PATH=NHANES_20172018$NUTRIENT, DEMO_PATH=NHANES_20172018$DEMO,FPED_PATH2=NHANES_20172018$FPED2, NUTRIENT_PATH2=NHANES_20172018$NUTRIENT2)# AHEI
\nfor \u7b2c1\u5929\u548c\u7b2c2\u5929AHEI_NHANES= AHEI_NHANES_FPED(NHANES_20172018$FPED_IND, NHANES_20172018$NUTRIENT_IND,NHANES_20172018$FPED_IND2, NHANES_20172018$NUTRIENT_IND2)# DII
\nfor \u7b2c1\u5929\u548c\u7b2c2\u5929DII_NHANES= DII_NHANES_FPED(FPED_PATH=NHANES_20172018$FPED,NUTRIENT_PATH=NHANES_20172018$NUTRIENT, DEMO_PATH=NHANES_20172018$DEMO,FPED_PATH2=NHANES_20172018$FPED2, NUTRIENT_PATH2=NHANES_20172018$NUTRIENT2)#
\nHEI2020 for \u7b2c1\u5929\u548c\u7b2c2\u5929HEI2020_NHANES_1718= HEI2020_NHANES_FPED(FPED_PATH=NHANES_20172018$FPED,NUTRIENT_PATH=NHANES_20172018$NUTRIENT, DEMO_PATH=NHANES_20172018$DEMO,FPED_PATH2=NHANES_20172018$FPED2, NUTRIENT_PATH2=NHANES_20172018$NUTRIENT2)\u901a\u8fc7SEQN\u5c06\u6240\u6709\u5148\u524d\u7684\u8fd9\u4e9b\u6570\u636e\u5408\u5e76\u4e3a\u4e00\u4e2a\u6570\u636e\uff0cNHANES_20172018_dietaryindex_d1d2= inner_join(NHANES_20172018_design_d1d2, DASHI_NHANES, by = ‘SEQN’)%>% inner_join(MEDI_NHANES, by =’SEQN’) %>% inner_join(DASH_NHANES, by =’SEQN’) %>% inner_join(MED_NHANES, by = ‘SEQN’)%>% inner_join(AHEI_NHANES, by =’SEQN’) %>% inner_join(DII_NHANES, by = ‘SEQN’)%>% inner_join(HEI2020_NHANES_1718, by =’SEQN’)\u5bf9\u8fd9\u4e2a\u5408\u5e76\u6570\u636e\u751f\u6210\u8c03\u67e5\u8bbe\u8ba1NHANES_design_1718_d1d2<- svydesign( id = ~SDMVPSU, strata = ~SDMVSTRA, weight = ~WTDR2D, data = NHANES_20172018_dietaryindex_d1d2, #set up survey design on the full dataset #can restrict at time of analysis nest = TRUE)\u4ece\u8fd9\u4e2a\u8c03\u67e5\u5bf9\u8c61\u4e2d\u63d0\u53d6\u51fa\u76f8\u5173\u6307\u6807\u7684\u5e73\u5747\u503c# \u751f\u6210 DASHI_ALL \u7684 svymean \u5bf9\u8c61DASHI_1718_svymean= svymean(~DASHI_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)# \u4ece svymean \u5bf9\u8c61\u4e2d\u63d0\u53d6\u5e73\u5747\u503cDASHI_1718_svymean_mean= DASHI_1718_svymean[[‘DASHI_ALL’]]# \u751f\u6210 MEDI_ALL \u7684 svymean \u5bf9\u8c61MEDI_1718_svymean= svymean(~MEDI_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)# \u4ece svymean \u5bf9\u8c61\u4e2d\u63d0\u53d6\u5e73\u5747\u503cMEDI_1718_svymean_mean= MEDI_1718_svymean[[‘MEDI_ALL’]]#\u4e3aDASH_ALL\u751f\u6210svymean\u5bf9\u8c61DASH_1718_svymean= svymean(~DASH_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)#\u4ecesvymean\u5bf9\u8c61\u4e2d\u63d0\u53d6\u5747\u503cDASH_1718_svymean_mean= DASH_1718_svymean[[‘DASH_ALL’]]#\u4e3aMED_ALL\u751f\u6210svymean\u5bf9\u8c61MED_1718_svymean= svymean(~MED_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)#\u4ecesvymean\u5bf9\u8c61\u4e2d\u63d0\u53d6\u5747\u503cMED_1718_svymean_mean= MED_1718_svymean[[‘MED_ALL’]]#
\ngenerate the svymean object for AHEI_ALLAHEI_1718_svymean= svymean(~AHEI_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)#
\nextract the mean from the svymean objectAHEI_1718_svymean_mean= AHEI_1718_svymean[[‘AHEI_ALL’]]#
\ngenerate the svymean object for DII_ALLDII_1718_svymean= svymean(~DII_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)#
\nextract the mean from the svymean objectDII_1718_svymean_mean= DII_1718_svymean[[‘DII_ALL’]]#
\ngenerate the svymean object for HEI2020_ALLHEI2020_1718_svymean= svymean(~HEI2020_ALL, design = NHANES_design_1718_d1d2, na.rm = TRUE)#
\nextract the mean from the svymean objectHEI2020_1718_svymean_mean= HEI2020_1718_svymean[[‘HEI2020_ALL’]]\u5148\u8bbe\u7f6eX\u8f74\u6807\u7b7e\u540dx_case1= c(‘DASHI_DASH_DASHlowSodium’, ‘DASHI_DASH_DASHMedSodium’,’DASHI_DASH_Control’, ‘MEDI_PREDIMED_Med_Oliveoil’,’MEDI_PREDIMED_Med_Nuts’, ‘MEDI_PREDIMED_Control’,’DASHI_NHANES’, ‘MEDI_NHANES’)\u63d0\u53d6DASHI_DASH\u6570\u636e\u4e2dDASHI_ALL\u6307\u6807\uff0cMEDI_PREDIMED\u6570\u636e\u4e2d\u7684MEDI_ALL\u6307\u6807\uff0cMEDI_PREDIMED\u6570\u636e\u4e2d\u7684MEDI_ALL\u6307\u6807\uff0c\u8fd8\u6709\u4eceNHANES_design_1718_d1d2\u63d0\u53d6\u7684\u5e73\u5747\u503cy_case1= c(DASHI_DASH$DASHI_ALL[2]\/9, DASHI_DASH$DASHI_ALL[3]\/9,DASHI_DASH$DASHI_ALL[5]\/9, MEDI_PREDIMED$MEDI_ALL[1]\/11, MEDI_PREDIMED$MEDI_ALL[2]\/11,MEDI_PREDIMED$MEDI_ALL[3]\/11, DASHI_1718_svymean_mean\/9,MEDI_1718_svymean_mean\/11)\u751f\u4ea7\u4e00\u4e2aZ\u7684\u5411\u91cf\uff0c\u7b49\u4e0b\u7ed8\u56fe\u7528\u4e8e\u5206\u7ec4z_case1= c(‘DASH_trial’, ‘DASH_trial’, ‘DASH_trial’,’PREDIMED_trial’, ‘PREDIMED_trial’,’PREDIMED_trial’, ‘NHANES_20172018′,’NHANES_20172018’)\u521b\u5efa\u996e\u98df\u7d22\u5f15\u7c7b\u578b\u7684\u5411\u91cfw_case1= c(‘DASHI’, ‘DASHI’, ‘DASHI’, ‘MEDI’,’MEDI’, ‘MEDI’, ‘DASHI’, ‘MEDI’)\u5c06\u6240\u6709y\u503c\u4e58\u4ee5100\u5f97\u5230\u767e\u5206\u6bd4y_case1= y_case1*100\u5c06\u76f8\u5173\u6307\u6807\u5408\u5e76\u6210\u4e00\u4e2a\u6570\u636edf_case1= data.frame(x_case1, y_case1, z_case1, w_case1)\u628a\u5206\u7c7b\u53d8\u91cf\u8f6c\u6210\u56e0\u5b50df_case1$z_case1= factor(df_case1$z_case1, levels = c(‘NHANES_20172018′,’DASH_trial’, ‘PREDIMED_trial’))df_case1$x_case1= factor(df_case1$x_case1, levels = c(‘DASHI_NHANES’,’DASHI_DASH_Control’, ‘DASHI_DASH_DASHMedSodium’,’DASHI_DASH_DASHlowSodium’, ‘MEDI_NHANES’,’MEDI_PREDIMED_Control’, ‘MEDI_PREDIMED_Med_Nuts’,’MEDI_PREDIMED_Med_Oliveoil’))\u6700\u540e\u7ed8\u56feggplot(df_case1, aes(x=z_case1, y=y_case1, fill=x_case1)) geom_bar(stat = ‘identity’, position = ‘dodge’) theme_bw() # create a facet grid with the dietary index type facet_wrap(. ~ w_case1, scales = ‘free_x’) labs( y = ‘Mean dietary index percentile’, fill = ‘Dieary indexes for specific diets’ ) theme( # increase the plot title size plot.title = element_text(size=18), # remove the x axis title axis.title.x = element_blank(), # remove the x axis text axis.text.x = element_blank(), # increase the y axis title and text size axis.title.y = element_text(size=18), axis.text.y = element_text(size=14), # increase the legend title and text size legend.title = element_text(size=18), legend.text = element_text(size=16), # increase the facet label size strip.text = element_text(size = 16) ) # add numeric labels to the bars and increase their size geom_text(aes(label = round(y_case1, 2)), vjust = -0.5, size = 4.5, position = position_dodge(0.9)) # add custom fill labels scale_fill_discrete(labels = c( ‘DASHI_DASH_DASHlowSodium’ = ‘DASHI for DASH trial low sodium diet’, ‘DASHI_DASH_DASHMedSodium’ = ‘DASHI for DASH trial medium sodium diet’, ‘DASHI_DASH_Control’ = ‘DASHI for DASH trial control diet’, ‘MEDI_PREDIMED_Med_Oliveoil’ = ‘MEDI for PREDIMED mediterranean olive oil diet’, ‘MEDI_PREDIMED_Med_Nuts’ = ‘MEDI for PREDIMED mediterranean nuts diet’, ‘MEDI_PREDIMED_Control’ = ‘MEDI for PREDIMED control diet’, ‘DASHI_NHANES’ = ‘DASHI for NHANES 2017-18’, ‘MEDI_NHANES’ = ‘MEDI for NHANES 2017-18’ ))\u6700\u540e\u5f97\u5230\u4e0a\u56fe\uff0cy\u8868\u793a\u5e73\u5747\u81b3\u98df\u6307\u6570\u767e\u5206\u4f4d\uff0c\u4e0d\u540c\u989c\u8272\u7684\u67f1\u5b50\u5206\u522b\u8868\u793a\u5404\u4e2a\u6307\u6570\u3002\u4e07\u6c34\u5343\u5c71\u603b\u662f\u60c5\uff0c\u70b9\u4e2a \ud83d\udc4d \u884c\u4e0d\u884c\u3002–\u8fd9\u4e9b\u70ed\u95e8\u8bdd\u9898\u4e5f\u8bb8\u60a8\u4f1a\u611f\u5174\u8da3–\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u5e7f\u4e49\u53ef\u52a0\u6a21\u578b\u4e34\u5e8a\u51b3\u7b56\u66f2\u7ebf\u5217\u7ebf\u56fe(Nomogram)\u9650\u5236\u7acb\u65b9\u6761\u56fe\uff08RCS\uff09\u4e00\u8d77\u6765\u5b66R\u7f16\u7a0b\u628a\u9006\u6982\u7387\u52a0\u6743\u4ea4\u4e92\u4f5c\u7528\u673a\u5668\u5b66\u4e60meta\u5206\u6790\u6570\u636e\u6316\u6398\u4e2d\u4ecb\u6548\u5e94Nhanes\u4e34\u5e8a\u6570\u636e\u5e93\u590d\u6742\u62bd\u6837\u8bbe\u8ba1\u52a0\u6743\uff08Survey\uff09\u5b5f\u5fb7\u5c14\u968f\u673a\u5316\u4ee3\u7801 \u89c6\u9891\u8bb2\u89e3\u5408\u96c6\u6700\u8fd1\u5fae\u4fe1\u6539\u7248\uff0c\u7ecf\u5e38\u6709\u8bfb\u8005\u670b\u53cb\u9519\u8fc7\u63a8\u9001\uff0c\u628a\u96f6\u57fa\u7840\u8bf4\u79d1\u7814\u8bbe\u4e3a\u661f\u6807 \u2b50\uff0c\u53ca\u65f6\u63a5\u6536\u6700\u65b0\u63a8\u6587 #artContent h1#artContent p img#artContent table<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5065\u5eb7\u996e\u98df\u6307\u6570(HEI) \u662f\u8bc4\u4f30\u4e00\u7ec4\u98df\u7269\u662f\u5426\u7b26\u5408\u7f8e\u56fd\u4eba\u81b3\u98df\u6307\u5357 (DGA) \u7684\u6307\u6807 … \u7ee7\u7eed\u9605\u8bfb →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[70],"tags":[],"class_list":["post-66355","post","type-post","status-publish","format-standard","hentry","category-70"],"_links":{"self":[{"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=\/wp\/v2\/posts\/66355","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=66355"}],"version-history":[{"count":0,"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=\/wp\/v2\/posts\/66355\/revisions"}],"wp:attachment":[{"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=66355"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=66355"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/zydq.1006ss.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=66355"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}