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Early assessment of health modes is crucial in young adults (ages 18–25 years), who experience a critical period of health changes and risk exposure. Screening programs in institutions allow preventive health interventions in this population. Health status, lifestyle patterns, and risk indicators of college students in a screening program at Healthcare Private Limited, Bhubaneswar. A cross-sectional health screening was performed among students aged 18–25 years using a structured nine-section Healthcare & Wellness Assessment Format that included demographics, medical history, sleep patterns, physical activity, nutrition, mental health, lifestyle risks, awareness of preventive care, and clinical parameters. The health measurements assessed were blood pressure, pulse rate, body temperature, oxygen saturation (SpO₂), height, weight, and body mass index (BMI), blood glucose test, respiratory rate measurement, hemoglobin level in the blood sample analysis, urine test, and vision tests. Measurements were obtained using standardized instruments. Screening detected differences in nutritional status, lifestyle habits, and clinical parameters. Underweight and overweight BMI categories were also detected. Mild anemia and borderline high blood pressure were observed among the students. Lifestyle factors involved poor sleep, consistently lower physical activity levels, irregular diet, and screen time. The knowledge of preventive healthcare approaches was moderate. The results emphasize the value of health screening programs in the early detection of modifiable risk factors. Instead, institutional wellness assessments may be modelled on preventive healthcare strategies to convey health optimization and early intervention
Keywords: Health screening; screening, Preventive healthcare; Lifestyle assessment; Body mass index (BMI); Anaemia screening; Wellness evaluation; Healthscreening,Preventivehealthcare,Lifestyleassessment,Bodymassindex(BMI); Anaemia screening,Wellnessevaluation
Theperiodofyoungadulthood,spanningages18–25, ismarkedbysignificantphysical,mental,andsocial transformations. During this stage, individuals encounter academic pressure, undergo lifestyle shifts, andmakenumeroushealth-relatedchoices[1][2].As reported by the WHO in 2022, many illnesses begin tomanifestduringtheseyears.Earlyidentificationof issuessuchashighbloodpressure, unusualweight, andimpairedsugarmetabolismcanhelpavertlongterm health complications. College students often eat poorly, are inactive, lack sleep, and experience stress,whichdisruptstheirmetabolism[3][4].Ensuringpropernutritioniscrucialduringyoungadulthood, asbothinsufficientandexcessiveeatingcanpresent majorissues.Thosewhoareunderweightmaylackvitalnutrientssuchasiron,whichcannegativelyimpact cognitiveabilitiesandweakentheimmunesystem,ultimatelyinfluencingtheirperformanceineducational andprofessionalsettings[5][6].Overweightindividualsareatriskofinsulinissues,highbloodpressure,and heartdiseases[7]. IncountriessuchasIndia,healthcaresystemsfacethechallengesofundernutritionand obesity[8][9].Anaemiaiswidespreadandparticularly affects young women and children globally. A 2017 WHOreportstatesthat29%ofmarriedwomenin29 citiesmightbeaffected.Inadults,anaemiacausedby insufficientironcausesfatigue,decreasedproductivity,andincreasedinfectionrisk.Earlydietaryguidance andsupplementationmaybebeneficial[10]. Young adultsareatanincreasedriskofcardiovasculardisease,withstudentsoftenexperiencingelevatedblood pressureduetostress,highsodiumintake,obesity,and inactivity[11][12].Evenslightlyelevatedbloodpressurecancontributetoheartdisease,andvariationsin bloodpressure,heartrate,breathingrate,andoxygen levelsofferimportanthealthinformation.Thelifestyle choicesmadeduringcollegesignificantlyaffectlongtermhealth.Studentsoftenparticipateinlessphysical activity,spendextendedhoursoncomputers,andface sleepdisruptions[13].Inadequatesleepimpairscognitivefunctionandcontributestomentalhealthproblems.Stressandemotionalchallengesexacerbateanxietyanddepressionamongyoungindividuals.Asyoung individualstransitiontoadulthood,theyfaceacademic stress,jobsearch,andsocialuncertainties.Inquiring aboutstressandriskybehavioursidentifiesthoseneedingcounselling[14]. Manystudentslackknowledge topreventhealthissuesortrackvaccinations,complicatinghealthcareineducation.HealthCareusesdata onage,gender,culture,lifestyle,nutrition,andexams topreventhealthproblems,aligningwithWHO’sstrategyforearlydetectionandlifestylechanges[15][16]. HerrickHealthcareinBhubaneswarstartedawellness projectforstudentsaged18-25.Theprogramassesses personaldetails,medicalhistory,sleep,exercise,diet, fitness,mentalhealth,lifestylerisk,anddiseaseprevention. Tests included the N-SPICES model, blood pressure,height,weight,BMI,bloodsugar,breathing rate,urinetests,andcolorvision. Youngadultshave changeableriskfactors,whichthisprogramhelpsidentify. Healthcheck-upsraiseawareness,encouraging habitchangesandreducingmedicaltreatments.With lifestyle diseases rising among youth, schools must teach prevention. This study examined the Herrick Healthcareprogramtoidentifyearlyhealthrisksand preventionstrategiesforyoungadults.
Thiscross-sectionalobservationalhealthscreeninginvolvedcollegestudentsaged18-25toevaluatehealth status, habits, and risk signals. Screening was conducted under the Healthcare & Wellness program atHerrickHealthcarePrivateLimited,Bhubaneswar, Odisha,apreventiveandmoleculardiagnosticfacilitywithstandardclinicalequipmentandtrainedpersonnel.Physicalexaminationswereperformedatthe healthcenterorthroughcampsorganizedbycolleges withparticipatingschools.
Thiscross-sectionalhealthscreeninginvolvedcollege studentsaged18-25toevaluatehealthstatus,habits, andrisksignals. ConductedundertheHealthcare& WellnessprogramatHerrickHealthcarePrivateLimited,Bhubaneswar,Odisha,adiagnosticfacilitywith standard clinical equipment and trained personnel, physical examinations were at the health center or throughcollege-organizedcamps.
Individualsaged18–25yearswhoshowedinterestwere invitedtoparticipateinthestudy.Uponinitialparticipation, all participants were briefed on the study’s objectives,methods,andbenefits.Theythensigned an "informed consent form." Only students in good health who completed the entire screening process wereselected.Thisapproachensuredthatdatawere collectedfromagenuinecaseofapatient’ssullenconditionratherthanfromsymptomsspecifictocertain diseases.
Participantswereeliminatedtomaintainreliablesurveyresultsandtoprotecthumansubjects. Individualswithacuteorseverediseasesrequiringimmediate treatment were excluded, as their conditions might affecttheresults.Individualsunwillingtoprovideinformedconsentorunaccustomedtoscreeningwere also excluded to respect ethical considerations and ensureparticipantautonomy.
Thestudyonlyusedpeoplewhoprovidedwrittenconsentandmetgeneralstandards,includingallofthem duringthetestingperiod,guaranteeingaconvenient andrepresentativesample.Collegestudentswhoprovidedwrittenconsentwereincludedinthestudy.All participantswhoprovidedwrittenconsentwereenrolledinthestudy.
Astandardized,slickHealthCare&WellnessPhysical ExaminationBookwascompiledandintroducedduring the study. It included nine major sections designedforathoroughexaminationdescribingvarious detailsaboutdemography,clinicaltreatmentbehavior, lifestylemedicalcare,infectiousdiseasepractice,and otheraspects,suchasprogressongenitalcounselling.
Thisisthefirstexperimentalstudyaimedatassessing the overall health status, lifestyle patterns, and risk factorsofparticipantsthroughstructuredsession-wise healthcareandwellnessscreening.Theevaluationwas dividedintosectionstocomprehensivelycaptureall thedataandconsistentlyinterpretclinicalandbehavioralparameters.
Session1(DemographicAssessment) recordedbaselineinformation,includingage,sex,institution,year of study, and optional contact details. Blood group information,whenpresent,wasalsorecorded. This exerciseassistedinsegmentingparticipantdataand providesinsightofpopulationdistributionforfurther studies.
Session2(MedicalHistoryEvaluation) focusedon identifyingpre-existinghealthconditionsandriskfactors.Participantswerequeriedaboutmedicalconditions,includingchronicdiseases,diabetes,hypertension,asthma,andthyroiddisorders,aswellasfamily historyofchronicconditions,currentmedicationuse, previoushospitalizationsduringtheirlifespan,allergies,andmenstrualhistoryinthecaseoffemales.This sessionprovidedkeyunderstandingintounderlying healthvulnerabilities.
portedtheiraveragesleeptime,presenceofsleepdisturbances,daytimefatigue,mobilephoneusagebeforesleepandperceivedqualityofsleep. Thisaided the process of evaluating sleep-related behavioural patterns,whicharefactorsthatimpactbothphysical andmentalhealthoutcomes.
theparticipantsengagementinphysicalactivity. Exercisedatawerecollectedforfrequency,typeofexercise(walking/gym/sports/yoga),numberofhoursper session,andhistoryofsedentaryworkforhoursper day.Participantswereclassifiedasphysicallyactiveor sedentarybasedontheirresponses.
ing), dietaryhabitswereevaluated,includingthefrequencyofeatingmeals,consumptionofbreakfast,fast foodintake,fruit,vegetable,andiron-richfoodintakes, anddailywaterconsumption.Thepurposeofthissessionwastoassesstheadequacyofnutritionandhydrationoftheparticipants.
was distributed with psychological frameworks, aspectsofacademicstress,anxiety,mooddisturbance, andconcentrationissues,aswellastheavailabilityof emotionalsupportsystems. Simpleyes/noorLikertscaleformatswereusedtorecordresponsesforclarity andeaseofinterpretation.
cludedtobaccouse,alcoholconsumption,screentime, caffeineintake,andsubstanceusehistory.Participants werethensortedintolow-orhigh-riskgroupsbased onthesebehaviours.
awarenessofvaccinationstatus,routinehealthcheckups,BMIandbloodpressurestatus,andparticipation inhealthawarenessprograms.Thisprovidedinsight intopreventivecarepractices.
Finally,in Session9(clinicalhealthassessment), basichealthparameterswereevaluatedatHerrickHealthcareusingstandardizedandcalibratedinstruments. Theseincludebloodpressure,pulserate,bodytemperature,oxygensaturation,height,weight,BMI,randombloodglucose,respiratoryrate,hemoglobinlevels,urineanalysis,andvisionscreening. Thesemeasurementswereobjectiveandsupplementedwithsubjectivequestionnairedata,thusallowingforamore completeassessmentofparticipanthealth.
Calibrationsforallequipmentusedinstudyfollowed manufacturer specifications. Health care providers weretrainedonhowtoensureconsistencyinmeasure-
Session Demographic 1 Assessment
Session Medical 2 History
SleepPatterns fatigue,mobileusebeforesleep,
Session Physical Exercisefrequency,type, Classificationofactivevs 4 Activity duration,sedentaryhours sedentarylifestyle Session Nutrition& 5 Hydration Session Stress,anxiety,mood, Screeningof MentalHealth 6 concentration,emotionalsupport psychologicalwellbeing Session Lifestyle Tobacco,alcohol,caffeineintake, Identificationoflifestyle 7 Habits screentime,substanceuse riskbehaviors Session Preventive Vaccinationstatus,healthcheck-ups, Assessmentofpreventive 8 Awareness BMIawareness,BPknowledge healthcareawareness
Session ClinicalHealth SpO ,height,weight,BMI, Objectivemeasurement 9 Tests bloodglucose,respiratoryrate, ofhealthparameters
menttechniques.Priortoeachscreeningsession,internalqualitycheckswereconducted.
DatawereenteredintoMicrosoftExcelandanalysedby descriptivestatisticalmethods.Continuousvariables arepresentedasmean±standarddeviation,andcategoricalvariablesarepresentedasfrequenciesandpercentages. Whereappropriate,associationsbetween lifestyle factors and clinical parameters were evaluated.
Allproceduresfollowedthestandardethicalguidelines forhumanparticipantresearch.Participantsprovided informedconsentafterbeingbriefedonthepurposeof thestudy.Personalinformationremainedconfidential, anddataweresecurelyprocessed.Healthassessment reportswerekeptprivateandreturnedtotheparticipantsindividually.Participantswithabnormalfindings werereferredforfurtherevaluationandmanagement.
talof161studentsofhealthcareandwellnessscreeningwereenrolledintheprogrammeatHerrickHealthcare, Bhubaneswar. Table-2 demonstrates that the Age,gender,institution, Participantcategorization academicyear,contactdetails, andbaselineprofiling bloodgroup Chronicdiseases,familyhistory, Identificationof medications,hospitalization, pre-existingriskfactors allergies,menstrualhistory Sleepduration,disturbances, Assessmentofsleep-related healthrisks sleepquality
Mealfrequency,breakfasthabits, Evaluationofnutritional fastfoodintake,fruits/vegetables, statusandhydration waterintake,iron-richdiet
BP,pulserate,temperature,
hemoglobin,urinetest,vision
mostcommonagegroupwas21–23years(44.7%),followedby18–20years(36.0%)and24–25years(19.3%). Therewasaslightpredominanceoffemaleparticipants (54.7%)overmales(45.3%);analysisaccordingtogender. Suchtypicalscreeningdemographicsshowparity between the sexes and a greater engagement of youngeradultfemalesinourprogram.
Table 2. DemographicDistributionofParticipantsin HealthcareandWellnessScreeningProgramat HerrickHealthcare,Bhubaneswar
Age 58 36.0 18–20 Age 72 44.7 21–23 Age 31 19.3 24–25 Male 73 45.3 Female 88 54.7
lookingatmedicalhistories,fewparticipantsreported healthproblems.However,manyofthemhadfamily memberswithlong-termillnesses.Amongallparticipants,18(11.2%)reportedhavingconditionssuchasdiabetes,highbloodpressure,asthma,orthyroidissues. Notably,52participants(32.3%)hadfamilymembers withdiabetesorhighbloodpressure,showingariskof thesediseasesinthegroup(Table-3).Regardingmedication,14participants(8.7%)weretakingprescribed drugs,indicatingthatsomeweremanaginghealthissues. Additionally,21participants(13.0%)hadallergiesthatcouldaffecttheirmedicalcareandlifestyle.
Table 3. Distributionofmedicalhistory,familydisease prevalence,medicationuse,andallergystatusamong participants
Known Medical 18 11.2 Condition FamilyHistory ofDiabetes/ 52 32.3 Hypertension Current Medication 14 8.7 Use AllergyHistory 21 13.0
Manyparticipantshadirregularandpoorsleephabits. Approximately 39.8% slept less than 6 hours a day, showing that many did not get enough sleep. Most participants(50.9%)slept6–8hperday,whichisthe recommendedamountforadults. Onlyafew(9.3%) sleptformorethan8hoursdaily(Table-4).Inaddition tosleeptime,44.1%oftheparticipantsfelttiredduring theday.Thissuggeststhattheyhadpoorsleepquality ordisruptedsleep,eveniftheysleptforenoughhours. Daytimetirednessinnearlyhalfoftheparticipantsmay havebeenduetoirregularsleepschedules,excessive screentime,oracademicstress.
Table 4. PrevalenceofSleepDurationPatternsand DaytimeFatigueAmongParticipants
Sleep 64 39.8 <6hrs/day Sleep 82 50.9 6–8hrs/day Sleep 15 9.3 >8hrs/day Daytime 71 44.1 Fatigue
pants Analysisoftheparticipants’physicalactivitylevelsrevealedaheterogeneouspatternofengagementin regularexercise.Amongthetotalstudycohort,90participants(55.9%)reportedengaginginregularphysical activity,whereas71participants(44.1%)wereclassifiedasleadingasedentarylifestyle.Thisindicatesthat nearlyhalfoftheparticipantsexhibitedaninadequate levelofphysicalactivity.Furtherexaminationdemonstratedthatonly63participants(39.1%)exercisedat leastthreetimesperweek,whichisgenerallyregarded astheminimumrecommendedfrequencyformaintaining optimal health status. This finding suggests thatalthoughaportionofparticipantsreportedbeing physicallyactive,theintensityandconsistencyoftheir exerciseregimenmaystillbeinsufficient(Table-5).
Table 5. PhysicalActivityPatternsandExercise FrequencyAmongStudyParticipants
RegularExercise 90 55.9 SedentaryLifestyle 71 44.1 Exercise 63 39.1 ≥ 3 times/week
Nutritionalassessmentidentifiedasignificantprevalence of dietary imbalance among the study participants.Asubstantialproportionofindividualsreported frequent consumption of junk food, with 82 participants(50.9%)indicatingaregularintakeoffastorprocessedfoods.Additionally,49participants(30.4%)reportedskippingbreakfast,suggestingirregularmeal patternsthatmayadverselyaffectmetabolichealth (Table-6).Adequatefruitconsumptionwasobservedin only59participants(36.6%),indicatingthatthemajorityofthepopulationhadinsufficientintakeofessential micronutrients.Furthermore,67participants(41.6%) reportedadailywaterintakeoflessthan2liters,highlightingsuboptimalhydrationpractices.
Table 6. DistributionofDietaryHabitsandNutritional IntakeAmongStudyParticipants
SkipsBreakfast 49 30.4 FrequentJunk 82 50.9 FoodIntake AdequateFruit 59 36.6 Intake WaterIntake 67 41.6 <2L/day
Students Theevaluationofmentalhealthindicatorsrevealedasignificantprevalenceofpsychologicalstress amongparticipants.Mostparticipantsreportedexperiencingacademicstress,with96(59.6%)indicating moderate to high stress levels associated with academic responsibilities. This underscores academic pressure as a substantial contributor to the mental healthburdenwithinthestudypopulation(Table-7). Additionally,anxietysymptomswerereportedby54 participants (33.5%), indicating that a considerable proportion of individuals experience emotional distressthatmayimpacttheirdailyfunctioningandoverallwell-being.Furthermore,difficultyinconcentration wasobservedin61participants(37.9%),whichmaybe linkedtobothacademicstressandunderlyinganxiety.
Table 7. DistributionofMentalHealthIndicators AmongStudyParticipants
AcademicStress 96 59.6 AnxietySymptoms 54 33.5 Difficulty 61 37.9 Concentrating
sure An evaluation of the lifestyle behaviors of the studyparticipantsidentifiedthepresenceofspecific riskfactors.Althoughsubstanceusewasobservedin arelativelysmallproportionofthecohort,behavioral riskpatterns,suchasextendedscreenexposure,were notablyprevalent. Amongtheparticipants,tobacco usewasreportedby19individuals(11.8%),andalcoholconsumptionwasnotedin27participants(16.8%), indicatingmoderateengagementinsubstance-related riskbehaviors.Incontrast,excessivescreentime(>6 hours/day)wasreportedbyamajorityofparticipants, totalling89individuals(55.3%),therebyhighlightinga significanttrendtowardsasedentarylifestyle(Table-8). Thefindingssuggestthatwhiletraditionallifestylerisk factors,suchastobaccoandalcoholuse,werecomparativelylower,digitallifestylehabits,particularlyprolongedscreentime,emergedasmajorbehavioralrisk factorswithinthestudypopulation.Thispatternmay contributetoassociatedhealthconcerns,includingreducedphysicalactivity,sleepdisturbances,andmental healthproblems.
Cross-SectionalStudy Analysisofpreventivehealthcareawarenessshowedamoderatelevelofawareness among participants. The majority (95.0%) reported receiving the COVID-19 vaccination, demonstrating AmongStudyParticipants
TobaccoUse 19 11.8 AlcoholConsumption 27 16.8 ScreenTime 89 55.3 >6hrs/day
highcompliancewithpublichealthinitiatives(Table-9). However,awarenessofotherpreventivemeasureswas low. Only26.1%oftheparticipantsunderwentregularhealthcheckups,suggestinglimitedengagementin routinemonitoring.Similarly,only36.0%wereaware oftheirBodyMassIndex(BMI)status,indicatingagap inpersonalhealthknowledge.
Table 9. PreventiveHealthcareAwarenessand PracticesAmongParticipants
RegularHealth 42 26.1 Check-up Vaccination 153 95.0 (COVID-19) AwareofBMI 58 36.0 Status
Healthcare ClinicalevaluationatHerrickHealthcare identifiedbaselinehealthindicatorsandriskfactors fortheparticipants.Anthropometricandvitalparameterswerewithinthenormalrange,althoughindividual variabilityshowedundernutritionandlifestyle-related healthrisks.Themeanheightandweightwere165.4 ±8.1cmand61.8±11.5kg,respectively,withamean BMIof22.6±3.8kg/m2,indicatinganormalnutritional status.Vitalparameters,includingpulserate(78±10 beats/min),respiratoryrate(18±3breaths/min),temperature(98.4±0.6°F),andoxygensaturation(97.8± 1.2%)werewithinphysiologicallimits.Theanalysisof clinicalriskindicatorsrevealedsignificanthealthconcerns. Oftheparticipants,17.4%wereunderweight, while25.5%wereoverweightorobese,showingadual burdenofmalnutrition. Cardiovascularassessment revealedthat11.8%werepre-hypertensiveand5.0% werehypertensive.Hematologicalevaluationshowed that24.2%ofthepatientshadmildanemia,suggesting nutritionaldeficiencies.Additionally,6.2%hadabnormalurinefindings,18.0%hadvisiondefects,and1.8% showedelevatedrandombloodglucoselevels,indicatingpotentialmetabolicdisorders.
Thecross-sectionalhealthscreeningstudyatHerrick HealthcareinBhubaneswarprovidesinsightsintothe
Height(cm) 165.4±8.1 Weight(kg) 61.8±11.5 BMI(kg/m2) 22.6±3.8 PulseRate(beats/min) 78±10 RespiratoryRate (breaths/min) Temperature(°F) 98.4±0.6 SpO (%) 97.8±1.2
Table 9B. ClinicalRiskIndicators
Height(cm) 165.4±8.1 Weight(kg) 61.8±11.5 BMI(kg/m2) 22.6±3.8 PulseRate(beats/min) 78±10 RespiratoryRate (breaths/min) Temperature(°F) 98.4±0.6 SpO (%) 97.8±1.2
health status, lifestyle behaviours, and risk factors amongstudentsaged18–25. Althoughyoungadults areseenashealthy,ourfindingsshowednutritional imbalances, early cardiovascular risk markers, anemia, and psychosocial stress, highlighting lifestyleassociated health concerns in this age group. Most participants were within the 21–23 years, a period markedbyacademicpressure,careerplanning,and lifestyle changes. Health behaviors in young adulthoodsignificantlyimpactlong-termmorbiditypatterns [17].Studentsreportingirregularsleepandextended screen time (>6 hours/day) align with global universitytrends. Sleepdeprivationisassociatedwithimpairedmetabolism, reducedcognitiveperformance, andcardiovascularrisk[18]. Halfoftheparticipants exhibitedsedentarybehaviorandfrequentjunkfood consumption. ThesepatternsmatchthoseofIndian andglobalcollegepopulations,wheremodernization reducesphysicalactivityandincreasesprocessedfood intake.Sedentarylifestylesandpoordietselevatethe riskofobesityandmetabolicsyndromeinearlyadulthood[19].TheBMIevaluationrevealedthat17.4%of studentswereclassifiedasunderweight,while25.5% wereoverweightorobese,illustratingthe"doubleburdenofmalnutrition,"whichreferstothesimultaneous presenceofundernutritionandovernutrition. Being underweightsuggestsinsufficientnutrientconsumption,whereasbeingoverweightislinkedtoaheightenedriskofinsulinresistanceandcardiovascularissues[7].Therateofobesityamongyoungadultshas increasedoverthelast20years[23]. Earlydetection ofabnormalBMIisvitalbecauseweight-relatedhealth riskscancontinueintoadulthood.Screeninginitiatives canfacilitateearlylifestyleinterventions,focusingon dietandphysicalactivity. Aboutone-thirdofparticipantsshowedmild-to-moderateanemia,moreprevalentamongfemalestudents. Irondeficiencyanemia isamajorpublichealthissueindevelopingnations, 18±3 especiallyamongyoungwomen[24].Anemiainearly adulthoodcannegativelyimpactphysicalendurance, cognitivefunction, andacademicachievement. Untreatedanemiainreproductive-agewomenmayaffect futurematernalhealth. Thesefindingshighlightthe need for regular hemoglobin assessments and educationalinitiativesonnutrition,promotingiron-rich dietsandsupplements[25].Addressinganemiainstitutionallycouldimproveacademicperformanceand long-termhealthoutcomes. Moststudentshadnormalbloodpressure,but16%showedpre-hypertension 18±3 orhypertension. Highbloodpressureinyouthindicatespotentialcardiovasculardiseases[11]. Factors like high sodium intake, stress, obesity, and lack of sleepmaycontribute.Earlyscreeningidentifiesat-risk individuals, allowing preventive measures like exercise,dietchanges,andstressreduction.Cardiovasculardiseasesaretheleadingglobalcauseofdeath[17], makingearlyinterventioncrucial.Almost60%ofparticipantsreportedacademicstress,whileoverathird hadanxietyorconcentrationdifficulties.Mentalhealth issuesamongcollegestudentsaredocumentedglobally[22]. Academicpressure,careeruncertainty,societalexpectations,andlifestyledisruptionsheighten stress.Chronicstressposesmentalandphysiological risks,affectingsleep,eatinghabits,andcardiovascular function[26].Incorporatingmentalhealthcounseling andstressmanagementworkshopsintoinstitutional healthprogramscouldenhancestudentwell-being.Althoughonlyasmallnumberofyoungadultsreported using tobacco and alcohol, the prevalence of these habitsisconcerning.Startingsubstanceuseatanearly ageincreasestheriskoflong-termaddictionandrelatedhealthissues[17]. Healtheducationprograms thatemphasizepreventiveawarenessarecrucialfor reducingthesedangers.Approximately25%ofparticipantsindicatedthattheyregularlyunderwenthealth check-ups,highlightingalackofawarenessregarding preventivehealthmeasures.Preventivecareisfundamentaltopublichealth,asearlyidentificationofrisk factorscangreatlydiminishthefutureimpactofdiseases[23].Screeningprogramsatinstitutionssuchas HerrickHealthcareexemplifysuccessfulstrategiesfor promotingpreventivehealth.
This study highlights the importance of structured healthscreeningforyoungadults,particularlycollege students aged 18–25, undergoing significant transitions.Findingsshowthateveninhealthypopulations, manyhaveearlyhealthriskindicatorslikeabnormal BMI,mildanemia,andborderlinehypertension,which mayleadtochronicdiseasesifunaddressed.Thestudy also emphasizes the impact of lifestyle factors such asinadequatesleep,lowphysicalactivity,poordiet, andexcessivescreentimeonhealth.Moderateawarenessofpreventivehealthcareindicatesagapbetween knowledgeandpractice.Resultssupporttheneedfor regular,institution-basedwellnessscreeningforearly detection,healtheducation,andtimelyintervention. Theseinitiativespromotehealthierlifestyles,improve awareness, and reduce disease burden. Integrating preventivehealthcareineducationalinstitutionsisa proactiveapproachtobuildingahealthieryoungpopulationandstrengtheningpublichealthoutcomes.
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