Super_JJ Immunity_NN1 Foods_NN2 "_" In_II the_AT next_MD ten_MC years_NNT2 ,_, "_" says_VVZ Katherine_NP1 Tucker_NP1 ,_, Ph.D._NNA ,_, of_IO the_AT Tuft_NN1 s_ZZ1 University_NN1 Friedman_NN1 School_NN1 of_IO Nutrition_NN1 Science_NN1 and_CC Policy_NN1 ,_, "_" individuals_NN2 will_VM go_VVI to_II their_APPGE doctors_NN2 ,_, have_VH0 their_APPGE genetics_NN1 analyzed_VVN ,_, and_CC be_VBI told_VVN ,_, for_REX21 example_REX22 ,_, that_DD1 fish_NN oil_NN1 can_VM help_VVI reduce_VVI their_APPGE risk_NN1 of_IO heart_NN1 disease_NN1 and_CC Alzheimers_NP1 ._. "_" 
But_CCB there_EX 's_VBZ no_AT need_NN1 to_TO wait_VVI for_IF the_AT science_NN1 of_IO nutrigenetics_NN2 to_TO hit_VVI its_APPGE stride_NN1 --_NN1 you_PPY have_VH0 all_DB the_AT tools_NN2 for_IF taking_VVG your_APPGE health_NN1 into_II your_APPGE own_DA hands_NN2 at_II your_APPGE local_JJ grocery_NN1 store_NN1 ._. 
With_IW the_AT help_NN1 of_IO this_DD1 book_NN1 ,_, you_PPY can_VM start_VVI eating_VVG all_DB the_AT super_JJ foods_NN2 that_CST boost_VV0 immunity_NN1 so_CS you_PPY can_VM stay_VVI fit_JJ and_CC healthy_JJ ,_, starting_VVG with_IW your_APPGE very_RG next_MD meal_NN1 ._. 
And_CC what_DDQ are_VBR those_DD2 super_JJ foods_NN2 ?_? 
Berries_NN2 ,_, tree_NN1 fruits_NN2 ,_, root_NN1 vegetables_NN2 ,_, leafy_JJ greens_NN2 ,_, and_CC grains_NN2 ;_; plus_II the_AT ancient_JJ healing_JJ food_NN1 ,_, yogurt_VV0 ;_; and_CC vegetables_NN2 from_II the_AT sea_NN1 ,_, such_II21 as_II22 kelp_NN1 and_CC dulse_NN1 ._. 
According_II21 to_II22 a_AT1 study_NN1 by_II researchers_NN2 at_II the_AT Harvard_NP1 School_NN1 of_IO Public_JJ Health_NN1 ,_, people_NN who_PNQS consume_VV0 eight_MC or_CC more_DAR servings_NN2 of_IO fruits_NN2 and_CC vegetables_NN2 a_AT1 day_NNT1 may_VM reduce_VVI their_APPGE risk_NN1 of_IO cardiovascular_JJ disease_NN1 by_II more_DAR than_CSN 20_MC percent_NNU compared_VVN to_II those_DD2 eating_VVG only_RR three_MC servings_NN2 a_AT1 day_NNT1 ._. 
Even_RR better_RRR ,_, the_AT risk_NN1 and_CC incidence_NN1 of_IO every_AT1 other_JJ major_JJ disease_NN1 ,_, including_II diabetes_NN1 ,_, cancer_NN1 ,_, and_CC arthritis_NN1 ,_, also_RR declines_VVZ as_II the_AT intake_NN1 of_IO red_NN1 ,_, green_JJ ,_, blue_JJ ,_, white_JJ ,_, and_CC brown_JJ foods_NN2 goes_VVZ up_RP ._. 
Red_JJ foods_NN2 ,_, such_II21 as_II22 tomatoes_NN2 and_CC cherries_NN2 ,_, provide_VV0 the_AT antioxidants_NN2 lycopene_NN1 and_CC anthocyanins_NN2 for_IF a_AT1 healthy_JJ heart_NN1 and_CC clean_JJ arteries_NN2 ,_, while_CS yellow_JJ and_CC orange_JJ foods_NN2 provide_VV0 vitamin_NN1 C_ZZ1 and_CC bioflavonoids_NN2 for_IF healthy_JJ vision_NN1 and_CC lowered_JJ cancer_NN1 risk_NN1 ._. 
Blue_JJ and_CC purple_JJ foods_NN2 are_VBR rich_JJ in_II plant_NN1 nutrients_NN2 called_VVN phenolics_NN2 for_IF diabetes_NN1 control_NN1 and_CC antiaging_VVG benefits_NN2 ,_, while_CS white_JJ foods_NN2 like_II garlic_NN1 and_CC potatoes_NN2 help_VV0 lower_JJR cholesterol_NN1 and_CC control_VV0 respiratory_JJ disease_NN1 ._. 
Every_AT1 whole_JJ food_NN1 dishes_NN2 up_II something_PN1 important_JJ ,_, but_CCB the_AT twenty_MC five_MC foods_NN2 that_CST top_VV0 the_AT list_NN1 and_CC do_VD0 the_AT most_RRT to_TO support_VVI immunity_NN1 are_VBR apples_NN2 ,_, berries_NN2 ,_, broccoli_NN1 ,_, carrots_NN2 ,_, citrus_NN1 fruits_NN2 ,_, dark_JJ leafy_JJ greens_NN2 ,_, green_JJ food_NN1 powders_NN2 ,_, figs_NN2 and_CC dates_NN2 ,_, garlic_NN1 ,_, flaxseed_VV0 ,_, legumes_NN2 ,_, oats_NN1 ,_, olives_NN2 ,_, herbs_NN2 and_CC spices_NN2 ,_, mushrooms_NN2 ,_, potatoes_NN2 ,_, sea_NN1 vegetables_NN2 ,_, squash_NN1 ,_, tomatoes_NN2 ,_, soy_JJ foods_NN2 ,_, nuts_NN2 and_CC seeds_NN2 ,_, whole_JJ grains_NN2 ,_, and_CC yogurt_NN1 ._. 
In_II31 addition_II32 to_II33 improved_JJ health_NN1 and_CC vitality_NN1 ,_, there_EX are_VBR a_AT1 number_NN1 of_IO reasons_NN2 for_IF taking_VVG a_AT1 proactive_JJ approach_NN1 to_II your_APPGE immunity_NN1 and_CC wellbeing_NN1 ._. 
From_II commonly_RR prescribed_JJ drugs_NN2 to_II pollutants_NN2 in_II the_AT air_NN1 and_CC water_NN1 (_( not_XX to_TO mention_VVI stress_NN1 !_! )_) ,_, you_PPY have_VH0 plenty_PN of_IO reasons_NN2 to_TO take_VVI your_APPGE health_NN1 into_II your_APPGE own_DA hands_NN2 with_IW super_JJ immunity_NN1 foods_NN2 ._. 
If_CS you_PPY 're_VBR down_RP in_II your_APPGE cups_NN2 ,_, maybe_RR you_PPY need_VV0 a_AT1 bowl_NN1 of_IO moodelevating_VVG minestrone_NN1 or_CC a_AT1 Bitter_JJ Greens_NN2 Salad_NN1 (_( see_VV0 page_NN1 152_MC )_) ._. 
And_CC do_VD0 n't_XX hold_VVI back_RP on_II those_DD2 complex-carbohydrate_JJ vegetables_NN2 like_II carrots_NN2 ,_, potatoes_NN2 ,_, and_CC tomatoes_NN2 ._. 
According_II21 to_II22 researchers_NN2 at_II the_AT Massachusett_NP1 s_ZZ1 Institute_NN1 of_IO Technology_NN1 (_( MIT_NP1 )_) ,_, carbohydrates_NN2 are_VBR the_AT key_NN1 to_II stimulating_JJ serotonin_NN1 ,_, the_AT neurotransmitter_NN1 that_CST helps_VVZ boost_NN1 mood_NN1 and_CC feelings_NN2 of_IO satiety_NN1 ._. 
The_AT brain_NN1 makes_VVZ serotonin_NN1 only_RR after_CS it_PPH1 has_VHZ been_VBN fed_VVN carbs_NN2 with_IW little_JJ or_CC no_AT protein_NN1 ._. 
(_( Interestingly_RR ,_, women_NN2 naturally_RR have_VH0 less_DAR serotonin_NN1 than_CSN men_NN2 and_CC twice_RR the_AT incidence_NN1 of_IO depression_NN1 ._. )_) 
The_AT other_JJ four_MC transmitters_NN2 that_CST must_VM be_VBI firing_VVG for_IF you_PPY to_TO feel_VVI good_JJ are_VBR dopamine_NN1 ,_, melatonin_NN1 ,_, epinephrine_NN1 ,_, and_CC norepinephrine_JJ --_NN1 all_RR supplied_VVN by_II foods_NN2 such_II21 as_II22 whole_JJ grains_NN2 ,_, beans_NN2 ,_, and_CC greens_NN2 ,_, which_DDQ should_VM be_VBI embedded_VVN in_II our_APPGE meal_NN1 plans_NN2 ._. 
We_PPIS2 need_VV0 all_DB the_AT great_JJ soups_NN2 ,_, salads_NN2 ,_, slaws_NN2 ,_, and_CC stir-fries_NN2 we_PPIS2 can_VM get_VVI ._. 
According_II21 to_II22 the_AT World_NN1 Health_NN1 Organization_NN1 (_( WHO_NP1 )_) ,_, by_II 2020_MC depression_NN1 will_VM surpass_VVI cancer_NN1 as_II the_AT second_MD leading_JJ cause_NN1 of_IO death_NN1 and_CC disability_NN1 in_II the_AT United_NP1 States_NP1 ._. 
Currently_RR ,_, fifteen_MC million_NNO of_IO us_PPIO2 are_VBR blue_JJ --_NN1 and_CC that_DD1 's_VBZ bad_JJ ._. 
Long-term_JJ depression_NN1 can_VM alter_VVI DNA_NN1 patterns_NN2 and_CC increase_VVI your_APPGE risk_NN1 of_IO cancer_NN1 and_CC heart_NN1 disease_NN1 ._. 
Of_RR21 course_RR22 ,_, maybe_RR it_PPH1 's_VBZ not_XX a_AT1 few_DA2 neurotransmitters_NN2 but_CCB the_AT whole_JJ family_NN1 tree_NN1 that_CST 's_VBZ failing_VVG you_PPY ._. 
If_CS your_APPGE first-degree_JJ parent_NN1 was_VBDZ depressed_JJ ,_, there_EX 's_VBZ a_AT1 25_MC to_II 30_MC percent_NNU chance_NN1 that_CST you_PPY will_VM be_VBI ,_, too_RR ._. 
Impaired_JJ blood_NN1 flow_NN1 to_II the_AT brain_NN1 can_VM put_VVI you_PPY at_II risk_NN1 for_IF depression_NN1 ,_, and_CC so_RR can_VV0 anemia_NN1 and_CC low_JJ thyroid_JJ function_NN1 ._. 
(_( Women_NN2 are_VBR 50_MC percent_NNU more_DAR likely_JJ than_CSN men_NN2 to_TO develop_VVI hypothyroidism_NN1 ,_, which_DDQ oft_RR en_FW manifests_VVZ as_CSA depression_NN1 ._. )_) 
Depression_NN1 can_VM be_VBI the_AT upshot_NN1 of_IO a_AT1 shortage_NN1 of_IO adrenal_JJ and_CC DHEA_NN1 hormones_NN2 as_II31 well_II32 as_II33 the_AT sex_NN1 hormones_NN2 testosterone_NN1 ,_, estrogen_NN1 ,_, and_CC progesterone_NN1 ._. 
But_CCB before_CS you_PPY pop_VV0 a_AT1 pill_NN1 ,_, have_VH0 your_APPGE health_NN1 care_NN1 provider_NN1 run_VVN a_AT1 hormone_NN1 panel_NN1 (_( blood_NN1 test_NN1 )_) ._. 
Are_VBR you_PPY hypoglycemic_JJ ?_? 
Chronic_JJ low_JJ blood_NN1 sugar_NN1 levels_NN2 can_VM trigger_VVI the_AT blues_NN2 ._. 
Go_VV0 from_II three_MC squares_VVZ a_AT1 day_NNT1 to_II six_MC small_JJ ,_, well-balanced_JJ minimeals_NN2 to_TO keep_VVI the_AT brain_NN1 nourished_VVN in_II a_AT1 time-released_JJ fashion_NN1 ._. 
Eliminating_VVG foods_NN2 that_CST you_PPY are_VBR allergic_JJ or_CC sensitive_JJ to_II can_VM improve_VVI mood_NN1 ._. 
Wheat_NN1 and_CC dairy_NN1 products_NN2 are_VBR especially_RR problematic_JJ ._. 
Eliminating_VVG sugar_NN1 and_CC artificial_JJ sweeteners_NN2 can_VM help_VVI (_( switch_VV0 to_II healthier_JJR substitutes_NN2 such_II21 as_II22 stevia_NN1 and_CC Xylitol_NP1 )_) ._. 
If_CS you_PPY 're_VBR bending_VVG an_AT1 elbow_NN1 ,_, do_VD0 it_PPH1 with_IW dumbbells_NN2 ,_, not_XX cocktails_NN2 ._. 
Alcohol_NN1 depletes_VVZ the_AT brain_NN1 of_IO mood-stabilizing_NN1 omega-3_MC fatty_JJ acids_NN2 (_( as_RG well_RR as_CSA interferes_VVZ with_IW the_AT absorption_NN1 of_IO nutrients_NN2 in_RR21 general_RR22 )_) ._. 
Remember_VV0 ,_, the_AT brain_NN1 has_VHZ a_AT1 higher_JJR metabolic_JJ rate_NN1 than_CSN the_AT muscles_NN2 and_CC a_AT1 greater_JJR need_NN1 for_IF nutrients_NN2 ._. 
One_MC1 nutrient_NN1 that_CST is_VBZ poorly_RR absorbed_VVN and_CC in_II short_JJ supply_NN1 in_II the_AT American_JJ diet_NN1 is_VBZ magnesium_NN1 ._. 
Upping_VVG your_APPGE intake_NN1 can_VM take_VVI you_PPY from_II sulky_JJ to_II smiley_NN1 ._. 
Snack_NN1 on_II almonds_NN2 ,_, enjoy_VV0 spinach_NN1 pie_NN1 ,_, have_VH0 oatmeal_NN1 for_IF breakfast_NN1 ,_, and_CC eat_VV0 potatoes_NN2 for_IF lunch_NN1 ;_; nonvegetarians_NN2 can_VM add_VVI halibut_NN ,_, a_AT1 good_JJ source_NN1 of_IO magnesium_NN1 ._. 
High_JJ levels_NN2 of_IO homocysteine_NN1 in_II the_AT blood_NN1 can_VM produce_VVI depressive_NN1 symptoms_NN2 ,_, too_RR ._. 
Bring_VV0 the_AT levels_NN2 down_RP with_IW doses_NN2 of_IO vitamin_NN1 B6_FO ,_, B12_FO ,_, and_CC folic_JJ acid_NN1 ._. 
Oral_JJ contraceptives_NN2 ,_, which_DDQ deplete_VV0 vitamin_NN1 B6_FO and_CC the_AT amino_NN1 tyrosine_NN1 needed_VVN for_IF cerebral_JJ stability_NN1 ,_, also_RR can_VM produce_VVI depressive_NN1 symptoms_NN2 ._. 
What_DDQ if_CS you_PPY 're_VBR sad_JJ because_II21 of_II22 SAD_JJ ?_? 
There_EX are_VBR plenty_PN of_IO natural_JJ ways_NN2 to_TO beat_VVI seasonal_JJ affective_JJ disorder_NN1 (_( SAD_JJ )_) ._. 
Try_VV0 the_AT homeopathic_JJ remedies_NN2 sepia_NN1 ,_, aurum_NN1 metallicum_NN1 ,_, or_CC phosphorus_NN1 ._. 
Or_CC consider_VV0 Ayurvedic_JJ self-massage_NN1 called_VVN Sarvabhyanga_NP1 ,_, which_DDQ uses_VVZ vigorous_JJ upward_JJ strokes_NN2 from_II the_AT feet_NN2 to_II the_AT head_NN1 to_II rebalance_NN1 energy_NN1 and_CC mood_NN1 ._. 
Also_RR ,_, try_VV0 getting_VVG up_RP early_RR and_CC taking_VVG a_AT1 walk_NN1 in_II the_AT early_JJ morning_NNT1 light_NN1 for_IF 30_MC minutes_NNT2 ,_, or_CC get_VV0 yourself_PPX1 a_AT1 light_JJ box_NN1 to_TO make_VVI up_RP for_IF the_AT missing_JJ sunlight_NN1 ,_, essential_JJ for_IF vitamin_NN1 D_ZZ1 production_NN1 ._. 
Eat_VV0 more_DAR (_( but_CCB not_XX all_RR )_) food_NN1 raw_JJ ._. 
Having_VHG five_MC to_II nine_MC cup_NN1 servings_NN2 of_IO fruits_NN2 and_CC vegetables_NN2 daily_RR ,_, most_RGT raw_JJ and_CC from_II the_AT SIF_NP1 (_( Super_JJ Immunity_NN1 Foods_NN2 )_) roster_NN1 ,_, can_VM boost_VVI your_APPGE immunity_NN1 ,_, especially_RR to_II cancer_NN1 ,_, heart_NN1 disease_NN1 ,_, obesity_NN1 ,_, and_CC diabetes_NN1 ._. 
Five_MC signs_NN2 that_CST a_AT1 food_NN1 is_VBZ a_AT1 good_JJ immune_JJ booster_NN1 ?_? 
It_PPH1 's_VBZ richly_RR colored_VVN ,_, it_PPH1 's_VBZ fresh_JJ ,_, it_PPH1 's_VBZ organically_RR grown_VVN ,_, it_PPH1 's_VBZ in_II season_NNT1 ,_, and_CC it_PPH1 's_VBZ locally_RR produced_VVN ._. 
(_( Three_MC out_II21 of_II22 five_MC is_VBZ good_JJ ,_, too_RR ._. )_) 
What_DDQ qualifies_VVZ ?_? 
Think_VV0 of_IO fresh_JJ unsprayed_JJ strawberries_NN2 in_II June_NPM1 ,_, just-picked_JJ corn_NN1 in_II July_NPM1 ,_, locally_RR grown_VVN tomatoes_NN2 in_II August_NPM1 ,_, and_CC just-dug_JJ potatoes_NN2 from_II somewhere_RL in-state_JJ ._. 
Some_DD next-best_VV0 choices_NN2 ?_? 
Organic_JJ but_CCB frozen_JJ spinach_NN1 ,_, local_JJ but_CCB nonorganic_JJ squash_NN1 ,_, and_CC fresh_JJ and_CC sustainably_RR grown_VVN but_CCB not_XX local_JJ peas_NN2 and_CC carrots_NN2 ._. 
Support_VV0 local_JJ farmers_NN2 ._. 
Go_VV0 to_II the_AT local_JJ green_JJ market_NN1 on_II the_AT weekend_NNT1 ,_, or_CC join_VV0 a_AT1 community-supported_JJ agriculture_NN1 (_( CSA_NP1 )_) and_CC get_VV0 regular_JJ deliveries_NN2 of_IO in-season_JJ produce_NN1 from_II the_AT farmer_NN1 around_II the_AT block_NN1 or_CC in_II the_AT next_MD county_NN1 ._. 
To_II fi_NN2 nd_NNU out_RP who_PNQS 's_VBZ where_RRQ ,_, go_VV0 to_II localharvest.org/csa_FU ._. 
During_II the_AT week_NNT1 ,_, do_VD0 your_APPGE own_DA small-scale_JJ farming_NN1 ,_, and_CC grow_VV0 your_APPGE favorite_JJ herbs_NN2 or_CC miniature_JJ vegetables_NN2 on_II your_APPGE windowsill_NN1 or_CC back_NN1 patio_NN1 ._. 
If_CS you_PPY 've_VH0 got_VVN a_AT1 back_NN1 forty_MC ,_, put_VVD an_AT1 inexpensive_JJ inflatable_JJ greenhouse_NN1 in_II it_PPH1 ._. 
Eat_VV0 organically_RR and_CC locally_RR when_CS you_PPY can_VM ._. 
Organic_JJ fruits_NN2 and_CC vegetables_NN2 from_II a_AT1 farm_NN1 near_RL you_PPY can_VM provide_VVI up_RG21 to_RG22 59_MC percent_NNU higher_JJR levels_NN2 of_IO antioxidants_NN2 than_CSN their_APPGE conventionally_RR grown_VVN counterparts_NN2 ,_, says_VVZ the_AT Organic_JJ Consumers_NN2 Association_NN1 ._. 
If_CS you_PPY ca_VM n't_XX eat_VVI organic_JJ all_DB the_AT time_NNT1 ,_, make_VV0 sure_JJ you_PPY eat_VV0 these_DD2 twelve_MC foods_NN2 from_II the_AT organic_JJ aisle_NN1 :_: apples_NN2 ,_, apricots_NN2 ,_, bell_NN1 peppers_NN2 ,_, cantaloupe_NN1 ,_, celery_NN1 ,_, cherries_NN2 ,_, cucumbers_NN2 ,_, green_JJ beans_NN2 ,_, peaches_NN2 ,_, spinach_NN1 ,_, strawberries_NN2 ,_, and_CC grapes_NN2 ._. 
Grapes_NN2 from_II the_AT United_NP1 States_NP1 are_VBR OK_RR ,_, but_CCB pass_VV0 up_RP the_AT imported_JJ grapes_NN2 ._. 
Protect_VV0 your_APPGE children_NN2 's_GE plates_NN2 ._. 
In_II one_MC1 study_NN1 by_II the_AT Environmental_JJ Working_JJ Group_NN1 ,_, children_NN2 who_PNQS ate_VVD conventional_JJ produce_NN1 and_CC juice_NN1 had_VHD six_MC to_II nine_MC times_NNT2 more_RRR pesticide_NN1 residue_NN1 in_II their_APPGE bodies_NN2 than_CSN children_NN2 who_PNQS ate_VVD organically_RR ._. 
Pesticides_NN2 can_VM damage_VVI the_AT nervous_JJ and_CC hormonal_JJ systems_NN2 as_II31 well_II32 as_II33 the_AT thyroid_JJ gland_NN1 ._. 
Cook_VV0 less_RRR ,_, and_CC steam_NN1 ,_, boil_VV0 ,_, or_CC stir-fry_JJ when_CS you_PPY do_VD0 ._. 
Acrylamide_VV0 ,_, a_AT1 carcinogen_NN1 ,_, is_VBZ formed_VVN when_CS frying_NN1 ,_, baking_VVG ,_, or_CC grilling_VVG at_II high_JJ temperatures_NN2 ._. 
When_CS you_PPY do_VD0 heat_VVI things_NN2 up_RP ,_, small_JJ changes_NN2 matt_JJ er_FU ._. 
Adding_VVG rosemary_NN1 to_II your_APPGE baked_JJ goods_NN2 ,_, for_REX21 example_REX22 ,_, can_VM reduce_VVI the_AT cancer_NN1 risk_NN1 by_II up_RG21 to_RG22 60_MC percent_NNU ._. 
And_CC adding_VVG blueberries_NN2 to_II meat_NN1 (_( if_CS you_PPY eat_VV0 it_PPH1 )_) does_VDZ the_AT same_DA ._. 
Juice_NN1 daily_RR ._. 
It_PPH1 's_VBZ a_AT1 great_JJ way_NN1 to_TO get_VVI and_CC even_RR exceed_VVI your_APPGE five_MC to_II nine_MC servings_NN2 of_IO fruits_NN2 and_CC vegetables_NN2 daily_RR ._. 
According_II21 to_II22 studies_NN2 at_II the_AT Federal_JJ Research_NN1 Centre_NN1 for_IF Nutrition_NN1 and_CC Food_NN1 in_II Germany_NP1 ,_, drinking_VVG 12_MC ounces_NNU2 of_IO either_RR carrot_NN1 or_CC tomato_NN1 juice_NN1 (_( both_DB2 rich_JJ in_II carotenoids_NN2 )_) caused_VVD a_AT1 jump_NN1 in_II natural_JJ killer_NN1 (_( NK_NP1 )_) immune_JJ cell_NN1 activity_NN1 in_II the_AT blood_NN1 by_II 25_MC percent_NNU ._. 
Let_VV0 color_NN1 be_VBI your_APPGE guide_NN1 for_IF super_JJ immunity_NN1 ._. 
Half_DB the_AT vegetables_NN2 you_PPY eat_VV0 should_VM be_VBI red_JJ or_CC orange_NN1 ;_; the_AT other_JJ half_NN1 should_VM be_VBI dark_JJ green_NN1 ,_, blue_JJ ,_, and_CC black_JJ ._. 
But_CCB save_VV0 space_NN1 for_IF those_DD2 white_JJ potatoes_NN2 and_CC mushrooms_NN2 ,_, too_RR ._. 
Have_VH0 small_JJ meals_NN2 taken_VVN often_RR ._. 
The_AT larger_JJR the_AT meal_NN1 ,_, the_AT more_DAR stress_NN1 you_PPY generate_VV0 for_IF the_AT organs_NN2 of_IO digestion_NN1 and_CC detoxification_NN1 ._. 
Having_VHG six_MC small_JJ nutritionally_RR dense_JJ meals_NN2 daily_RR is_VBZ ideal_JJ ._. 
Supplement_VV0 smart_JJ ._. 
Compensate_VV0 for_IF nutrients_NN2 depleted_VVN by_II any_DD prescription_NN1 medications_NN2 you_PPY are_VBR on_II (_( see_VV0 naturalnews.com/drug_FU watchhome.html_NNU for_IF a_AT1 list_NN1 )_) as_II31 well_II32 as_II33 those_DD2 lost_VVN due_II21 to_II22 illness_NN1 or_CC medical_JJ conditions_NN2 ._. 
A_AT1 good_JJ diet_NN1 alone_RR does_VDZ n't_XX cover_VVI all_DB the_AT bases_NN2 anymore_RR ._. 
Eat_VV0 yogurt_NN1 or_CC kefir_NN1 daily_RR ._. 
As_RG much_DA1 as_CSA 60_MC percent_NNU of_IO your_APPGE immune_JJ cells_NN2 are_VBR located_VVN in_II your_APPGE gut_NN1 ._. 
If_CS you_PPY miss_VV0 ,_, take_VV0 a_AT1 quality_NN1 probiotic_JJ supplement_NN1 ._. 
Consider_VV0 the_AT senses_NN2 ._. 
Add_VV0 crunchy_JJ ,_, hot_JJ or_CC cold_JJ ,_, and_CC colorful_JJ to_II every_AT1 meal_NN1 to_TO satisfy_VVI the_AT senses_NN2 ,_, boost_VV0 nutrition_NN1 ,_, and_CC reduce_VV0 the_AT risk_NN1 of_IO overeating_VVG ._. 
For_REX21 example_REX22 ,_, add_VV0 a_AT1 tablespoon_NN1 of_IO crunchy_JJ cereal_NN1 to_II a_AT1 bowl_NN1 of_IO hot_JJ oatmeal_NN1 ,_, arrange_VV0 colorful_JJ steamed_JJ vegetables_NN2 alongside_II a_AT1 cold_JJ sandwich_NN1 ,_, and_CC add_VV0 crisp_JJ nuts_NN2 to_II a_AT1 smooth_JJ pasta_NN1 sauce_NN1 ._. 
Calculate_VV0 your_APPGE sugar_NN1 intake_NN1 ._. 
Sugar_NN1 lowers_VVZ your_APPGE immunity_NN1 ._. 
There_EX are_VBR better_JJR ,_, safer_JJR substitutes_NN2 to_TO keep_VVI your_APPGE coffee_NN1 sweet_NN1 and_CC your_APPGE sugar_NN1 bowl_NN1 filled_VVD ._. 
Try_VV0 the_AT zero-calorie_NNU1 herbal_JJ sugar_NN1 ,_, stevia_NN1 ,_, in_II powder_NN1 or_CC liquid_JJ form_NN1 ,_, or_CC Sun_NN1 Crystals_NN2 ,_, a_AT1 combination_NN1 of_IO raw_JJ sugar_NN1 and_CC erythritol_NN1 formulated_VVN from_II non-GMO_JJ fruits_NN2 and_CC vegetables_NN2 at_II 4_MC calories_NNU2 a_AT1 packet_NN1 ._. 
For_IF baking_NN1 ,_, use_VV0 raw_JJ honey_NN1 ,_, maple_NN1 syrup_NN1 ,_, agave_VV0 syrup_NN1 ,_, or_CC brown_JJ rice_NN1 syrup_NN1 --_NN1 all_DB in_II moderation_NN1 ._. 
Monitor_VV0 your_APPGE caffeine_NN1 intake_NN1 ._. 
This_DD1 stimulant_NN1 found_VVN in_II coffee_NN1 ,_, regular_JJ tea_NN1 ,_, chocolate_NN1 ,_, some_DD soft_JJ drinks_NN2 ,_, and_CC over-the-counter_JJ drugs_NN2 (_( e.g._REX ,_, some_DD antihistamine_NN1 formulas_NN2 )_) not_XX only_RR negatively_RR impacts_NN2 your_APPGE blood_NN1 pressure_NN1 ,_, bladder_NN1 ,_, and_CC kidneys_NN2 as_II31 well_II32 as_II33 blood_NN1 sugar_NN1 levels_NN2 but_CCB also_RR can_VM deplete_VVI calcium_NN1 and_CC cause_NN1 dehydration_NN1 if_CS you_PPY overdo_VV0 it_PPH1 ,_, especially_RR in_II the_AT already_RR "_" underwatered_JJ "_" among_II us_PPIO2 ._. 
Too_RG much_DA1 may_VM also_RR up-_JJ or_CC down-regulate_VV0 your_APPGE appetite_NN1 ._. 
Keep_VV0 a_AT1 healthy_JJ pH_NN1 balance_NN1 ._. 
A_AT1 key_JJ measure_NN1 of_IO your_APPGE overall_JJ health_NN1 is_VBZ your_APPGE acid-alkaline_JJ balance_NN1 ,_, expressed_VVN as_II a_AT1 number_NN1 on_II the_AT pH_NN1 scale_NN1 :_: 1_MC1 is_VBZ most_RGT acid_JJ and_CC 14_MC is_VBZ most_RGT alkaline_JJ ._. 
You_PPY can_VM check_VVI your_APPGE numbers_NN2 (_( excellent_JJ is_VBZ between_II 6.6_MC and_CC 6.8_MC )_) with_IW a_AT1 litmus_NN1 paper_NN1 test_NN1 kit_NN1 available_JJ from_II medical_JJ supply_NN1 companies_NN2 or_CC some_DD health_NN1 pharmacies_NN2 ._. 
Toss_VV0 a_AT1 leafy_JJ green_JJ salad_NN1 ,_, and_CC toss_VV0 it_PPH1 off_RP daily_RR at_II lunch_NN1 ,_, dinner_NN1 ,_, breakfast_NN1 ,_, or_CC even_RR in_JJ21 between_JJ22 meals_NN2 ._. 
Add_VV0 garlic_NN1 or_CC onions_NN2 every_AT1 time_NNT1 ._. 
Drink_VV0 tea_NN1 ._. 
Aim_VV0 for_IF two_MC cups_NN2 or_CC more_RRR ;_; hot_JJ or_CC iced_JJ ;_; black_JJ ,_, green_JJ ,_, or_CC oolong_NN1 ._. 
Having_VHG a_AT1 third_MD ?_? 
Make_VV0 it_PPH1 herbal_JJ ._. 
Put_VV0 plastic_NN1 aside_RL ._. 
Polyvinyl_NN1 chloride_NN1 used_VVD in_RP cling_VV0 wraps_NN2 and_CC flexible_JJ water_NN1 bottles_NN2 is_VBZ a_AT1 source_NN1 of_IO phthalates_NN2 linked_VVN to_II reproductive_JJ damage_NN1 ,_, while_CS polycarbonate_NN1 used_VVN in_II water_NN1 jugs_NN2 ,_, baby_NN1 bottles_NN2 ,_, and_CC as_II a_AT1 lining_NN1 in_II aluminum_NN1 cans_NN2 can_VM leach_VVI bisphenol_NN1 A_ZZ1 ,_, an_AT1 estrogenic_JJ compound_NN1 linked_VVN to_II breast_NN1 cancer_NN1 and_CC an_AT1 increased_JJ risk_NN1 of_IO diabetes_NN1 ._. 
Polypropylene_NN1 used_VVN in_II plastic_NN1 storage_NN1 containers_NN2 can_VM also_RR leach_VVI dangerous_JJ toxins_NN2 into_II foods_NN2 when_CS heated_VVN ._. 
All_DB plastics_NN2 pose_VV0 a_AT1 danger_NN1 to_II marine_JJ life_NN1 and_CC the_AT environment_NN1 at_RR21 large_RR22 ._. 
Switch_VV0 to_II Pyrex_NN1 or_CC stoneware_NN1 ,_, and_CC go_VV0 back_RP to_II old-fashioned_JJ wax_NN1 paper_NN1 ._. 
Buy_VV0 only_RR what_DDQ you_PPY can_VM eat_VVI and_CC waste_VVI not_XX ._. 
The_AT average_JJ American_JJ family_NN1 discards_VVZ 122_MC pounds_NN2 of_IO food_NN1 each_DD1 month_NNT1 ._. 
That_DD1 rotting_JJ food_NN1 that_CST ends_VVZ up_RP in_II landfills_NN2 produces_VVZ methane_NN1 ,_, a_AT1 major_JJ contributor_NN1 to_II greenhouse_NN1 gases_NN2 ._. 
