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Effects of exposure to insecticides on sleep and neurobehavioural functioning in puberty and adolescence: a scoping review Cover

Effects of exposure to insecticides on sleep and neurobehavioural functioning in puberty and adolescence: a scoping review

Open Access
|Sep 2025

Figures & Tables

Figure 1

Flow diagram of article search and selection
Flow diagram of article search and selection

Overview of assessment tools, study counts, and reported effects across core aspects of neurobehavioural functioning in studies on sleep and neurobehavioural outcomes of insecticide exposure (only adverse and null effect are shown, others are counted)

Core aspect of neurobehavioural functioningAbbr.Instruments (tests, subtests, tasks, questionnaires)nAdverse effectsNull effect
NOTNOTNOT
Working memory/immediate (short-term) memoryWMDigit Span1,2, Match-To-Sample1, Letter-Number Sequencing2, Picture Span2, Arithmetic2, Immediate Memory for Faces3, Object Memory4,14, Memory for Sentences5, Digit String5, Spatial Working Memory6, Registration7, Immediate Memory Span8, Children’s Memory Scale, Benton Visual Retention Test, Sternberg working memory task2293132 % (7)78 % (7)45 % (14)59 % (13)22 % (2)48 % (15)
Long-term memory/learning (includes visual, i.e., non-verbal, and verbal memory)LTMSerial Digit Learning1, Reverse Learning1, Narrative Memory3, Delayed Memory for Faces3, Object Memory4,14, Copying Recall5, Paired Associate Learning6, Recall7, Delayed Recall8, Level of Learning8, Children’s Memory Scale, Benton Visual Retention Test, Rey-Osterrieth Complex Figure, Long term memory task141061620 % (2)67 % (4)38 % (6)80 % (8)17 % (1)56 % (9)
Visuospatial and visuomotor abilitiesVSVMPicture Completion2, Block Design2,*,14, Visual Puzzles2, Object Assembly2, Design Copying3, Geometric Puzzles3, Visual motor integration task4,14, Copying5, Rey-Osterrieth Complex Figure, Figure drawing14, Eye-Hand Coordination91261833 % (4)17 % (1)28 % (5)67 % (8)83 % (5)72 % (13)
Attention and inhibitory controlAICContinuous Performance1, 12, Selective Attention1, Divided Attention1, Statue3, Auditory Attention & Response Set3, Inhibition3, Rapid Visual Information Processing6, Attention and Calculation7, Attention Network Test, Lewis Digit Vigilance Test981756 % (5)50 % (4)53 % (9)33 % (3)38 % (3)35 % (6)
(Other) Executive functionsEFProgressive Ratio1, Picture Arrangement2, Mazes2, Multi-tasking6, Orientation7, Trail Making Test, Wisconsin Card Sort Test, Behavior Rating Inventory of Executive Function881675 % (6)75 % (6)75 % (12)25 % (2)25 % (2)25 % (4)
Sensory and motor functionSMFVisuomotor Precision3, Purdue Pegboard4, Santa Ana Form Board14, Pegboard11,14, Motor Screening6, Motor performance10, Name writing14, Finger Tapping1,14, Lanthony Desaturated D-15, Gross motor skills and balance141171845 % (5)71 % (5)56 % (10)36 % (4)29 % (2)33 % (6)
Processing speed/reaction timePSSymbol Digit1, Simple Reaction Time1, Response Reaction6, Reaction Time Test14, (Digit Symbol) Coding2, Symbol Search2, Animals2, Cancellation21292158 % (7)56 % (5)57 % (12)25 % (3)33 % (3)29 % (6)
Verbal abilityVAInformation2, Similarities2, Vocabulary2, Comprehension2, Comprehension of Instructions3, Speeded Naming31451950 % (7)60 % (3)53 % (10)43 % (6)40 % (2)42 % (8)
Fluid reasoningFRFigure Weights2, Block Design2, Picture Concept2, Matrix Reasoning2, Series13, Classifications13, Matrices13, Conditions (topology)1360650 % (3)0 % (0)50 % (3)50 % (3)0 % (0)50 % (3)
General intellectual functioningGIFFull scale IQ2, Total score3,10, Raven’s Colored Progressive Matrices1401457 % (8)0 % (0)57 % (8)43 % (6)0 % (0)43 % (6)
Emotional and behavioural functioningEBAffect Recognition3, Behavior Assessment for Children 2nd edition, Eysenck Personality Questionnaire, Strengths and Difficulties Questionnaire, Mood and Feelings Questionnaire – Child edition, Children’s Depression Inventory 2nd edition, Multidimensional Anxiety Scale for Children 2nd edition, Child Behavior Checklist, Conners’ Rating Scale – Revised Short Version, ADHD Criteria of Diagnostic and Statistical Manual of Mental Disorders 4th edition, Self-Reported Delinquency and Self-Reported Behavior14, Parent–child difficulties checklist and parental involvement141411557 % (8)100 % (1)60 % (9)14 % (2)0 % (0)13 % (2)
SleepSSurvey/questionnaire20250 % (1)0 % (0)50 % (1)0 % (0)0 % (0)0 % (0)

Summary of studies investigating sleep and neurobehavioural effect of exposure to insecticides

Ref.Study designCountry, region, cohort, and start yearSample size (% of boys)GroupsAge range (years)Type of insecticideExposure assessmentNeurobehavioural assessmentMain findings
Non-occupational (residential) exposure studies(82)COChina, Asia SMBCS 2009–2010n=1266 mother-child pairs (54 %)
  • Formed a posteriori

  • 1. Continuously low (n=197)

  • 2. Early high (n=286)

  • 3. Mid-term high (n=104)

1–10 (within subject)OP (chlorpyrifos, chlorpyrifos-methyl) and CARB (carbofuran)urinary OP (TCPy) and CARB (CFP) metabolitesSDQ, Parent/caregiver assessment ADHD Criteria of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (ADHD-DSM-IV) rating scaleEvidence of adverse effects on EB functioning in children with exposure during infancy and toddlerhood (↑OP metabolites)
(65)CSEcuador, South America ESPINA 2008n=313 (51 %) 4–9mixture, including OP, NEO, and PYRresidential proximity to crops (ArcGIS)NEPSY-II (AIC, L, ML, VP)Evidence of adverse effects on WM, LTM, AIC, VA, and GIF related to living in close proximity to greenhouse floricultural crops
(67)CSEcuador, South America ESPINA 2008n=313 (51 %) 4–9OP, CARBAChE blood lev. (E); temporal proximity to heightened pesticide use; residential proximity to plantation (ArcGIS)NEPSY-II (AIC, L, ML, VP, SM)Evidence of adverse effects on VSVM, AIC, SMF, and GIF related to peak pesticide spray seasons in agricultural communities
(66)CSEcuador, South America ESPINA 2008n=313 (52 %) 4–9OP/CARBAChE blood levels (E)NEPSY-II (AIC, L, ML, VP, SM)Evidence of adverse effects on LTM, AIC, and GIF related to ↓AChE activity in boys
(61)CS-pilotCosta Rica, North America 2007n=35 (NR)
  • 1. Children of farm owners in Las Mellizas, conventional farming (n=18)

  • 2. Children of workers in La Amistad, organic coffee plantations (n=17)

4–10OP, PYRurinary OP (PNP, IMPy, TCPy) & PYR (3-PBA) metabolitesBARS (DST, TAP, MTS, CPT, DAT), Figure drawing, Long term memory testConclusion could not be drawn based on reported data
(64)mixedEcuador, South America ESPINA 2008n=309 (50 %) T1 (2008): 4–9 years; T2&3 (2016): 11–17 yearsmixture, types not specifiedAChE blood levels (E); questionnaire; residential proximity to crops (ArcGIS); temporal proximity to heightened pesticide useNEPSY-II (AIC, L, ML, VP, SP)Evidence of adverse effects on VSVM, AIC, and VA lasting up to 90+ days after peak pesticide spray seasons
(55)CS-pilotEcuador, South American=79 mother-child dyads (47 %)
  • Formed a posteriori

  • 1. Prenatally exposed (n=37)

  • 2. Controls (n=35; no prenatal pesticide exposure)

5–8OPAChE blood levels (E); urinary OP metabolites (DAPs); interviewSRT, PEG-SA, DST (WISC-IV), Copying test (Stanford-Binet), FTTPrenatal exposure important risk factor. Current OP exposure (↑OP metabolites) only predicted poorer PS
(51)COUSA (Arizona), North America CPS 1998n=48 (46 %)
  • 1. Exposed before (n=25)

  • 2. Non-exposed before (n=23)

5–9OPurinary OP metabolites (DAPs)WISC-III SF, CMS, WCST, TMT; CBCL/4–18, TRFNo strong evidence of adverse effects. Current OP exposure (↑OP metabolites) only predicted poorer EF
(72)CSUSA (Pacific Northwest), North America 2008n=215 parent-child pairs (54 %)
  • 1. Agricultural families (n=122)

  • 2. Non-agricultural (n=50)

5–12OPpesticide concentrations (house dust samples)CBCL/6–18Evidence of adverse effects on EB related to OP concentration in house dust
(56)COUSA (Pacific Nortwest), North America 2008n=328 (55 %)
  • 1. Agricultural group (n=155)

  • 2. Non-agricultural (n=60)

5–12OPOP residues (home carpet dust); questionnaireBARS (DST, TAP, MTS, SDT, CPT, DAT), OMT, PEG-P, VMI, Name writing; CBCLEvidence of adverse effects on AIC and SMF related to OP exposure in children from agricultural families. Mixed effects on WM
(53)CSMexico, North America 2010n=105 (51 %) 5–14OPurinary OP metabolites (DAPs)WISC-IV (VIC, PRI, WMI, PSI, FSIQ)Evidence of adverse effects on WM, PS, VA, FR, and GIF related to OP exposure (↑OP metabolites) in children living in rural area
(59)COThailand, Asian=54 (58 %)
  • 1. Rice farming (n=24)

  • 2. Aquaculture farming (n=29)

6–8OP, PYRurinary OP (DAPs, TCPy) & PYR (3-PBA, DCCA) metabolites(TAP, DAT, DST, SDT, MTS, CPT), PENTB (PEG-P, VMI, OMT)Mixed effects related to OP and PYR exposure during high and low pesticide use season in aqua- and agriculture communities. ↑PYR metabolites predicted poorer PS and WM performance in certain instances, while ↑OP metabolites predicted improvement in AIC and SMF
(45)CSEcuador, South American=87 mother-child dyads (58 %)
  • Formed a posteriori

  • 1. Prenatal maternal exposure (n=35)

  • 2. Prenatal paternal exposure (n=23)

  • 3. Controls (n=26; no prenatal pesticide exposure)

6–8OPAChE blood levels (E); OP urinary metabolites (DAPs); interviewFTT, PEG-SA, K-CPT, Stanford-Binet (Copying, Copying Recall, Memory for Sentences, Digit String), DST (WISC-IV), RCPMPrenatal exposure more harmful than current exposure. No evidence of adverse effects of current exposure
(52)CSCosta Rica, North America 2007n=190 (49 %)
  • 1. Large plantains using pesticides

  • 2. Small plantains using pesticides

  • 3. Small organic plantains

6–9OP, PYRurinary OP (TCPy) & pyrethroids (3-PBA) metabolitesWISC-IV (Block Design, Picture Concepts, Matrix Reasoning, DST, Letter Number Sequencing, Coding, Symbol Search, Cancellation); LDD-15, ROCF Copy and Delayed recall trials, CAVLT-2 (Immediate Memory Span, Delayed Recall, Level of Learning), DTVP-2, WRAVMA, RRT; CPRS-REvidence of adverse effects on WM (in boys), VSVM, SMF, PS (in girls), and EB functioning related to OP and PYR exposure (↑OP & PYR metabolites) in children living near plantations
(47)CSIran, Asia 2019n=128 (45 %) 6–9OPOP concentrations (ambient air samples; within a 50-meter radius from the greenhouse); residential proximity to the greenhouse (GPS)WISC-IV (VIC, PRI, WMI, PSI, FSIQ)Evidence of adverse effects on PS, VA, FR, and GIF related to greenhouse density
(83)CSCanada, North America CHMS, cycle 1 2007n=1081 (51 %) 6–11OP, PYRurinary OP (DAPs) & PYR metabolites (4-F-3-PBA, cis-DBCA, cis-DCCA, trans-DCCA, trans-DCCA)SDQEvidence of adverse effects on EB functioning related to pesticide exposure (↑PYR metabolites; pesticide used to treat pets/head lice)
(73)COUK, France, Spain, Lithuania, Norway, Greece, Europe HELIX study: BiB, EDEN, INMA, KANC, MoBa, Rhea 2013n=1301 mother-child dyads (55 %) 6–11OPurinary OP metabolites (DAPs)CBCL/6–18, CPRS-R; questionnaire items (sleep duration)Adverse effect on EB functioning related to prenatal exposure. Childhood exposure (↑OP metabolites) predicted better EB functioning
(85)CSUK, France, Spain, Lithuania, Norway, Greece, Europe HELIX study: BiB, EDEN, INMA, KANC, MoBa, Rhea 2013n=1301 mother-child pairs (55 %) 6–11OPurinary OP metabolites (DAPs)ANT and other tests (not described)No evidence of adverse effects
(50)CS-pilotChile, South American=25 (56 %)
  • 1. Near agricultural land, Maule (n=15)

  • 2. Not near agricultural land, Talca (n=10)

6–11OPurinary OP metabolites (DAPs) levels; school location (urban or rural)WISC-III (VCI, POI, FDI, PSI, FSIQ)No strong evidence of adverse effects. ↑OP metabolite levels only predicted poorer PS
(44)ASpain, Europe 2009n=315 mother-child dyads (51 %) 6–11OPurinary OP metabolites (DAPs); questionnaire; pre- and postnatal residential proximity to cropsWISC-IV (VIC, PRI, WMI, PSI, FSIQ)Evidence of adverse effects on GIF, VA, PS and FR related to high pesticide use season and OP exposure (↑OP metabolites), stronger in males
(69)CSMalaysia, Asian=683 (50 %)
  • 1. 7–8.5-year-olds (n=339)

  • 2. 10–11-year-olds (n=344)

6–11OPChE blood levelsWHO-NCTB (TMT), MSCA (motor scale)Evidence of adverse effects on SMF and EF related to ↓blood ChE levels
(68)CSIran, Asia 2021n=114 (50 %)
  • 1. Exposed (agricultural regions; n=57)

  • 2. Controls (urban areas; n=57)

6–13OPpesticides concentration (hair samples)TMT A & BEvidence of adverse effects on EF related to OP concentration in hair, stronger in females
(80)CSMalaysia, Asian=389 (20 %)
  • 1. Children that live <100 m from paddy fields (n=227)

  • 2. Children that live >1000 m from the agricultural site (n=162)

7–8.5OPChE blood levels; residential proximity to paddy fieldsMSCAEvidence of adverse effects on GIF related to ↓ ChE levels in children living in close proximity to agricultural fields
(42)CSColumbia, South America 2019n=232 parent-child dyads (50 %) 7–10mixture, containing primarily OP, PYR, fungicidesquestionnaire; info from stores about most bought pesticides in the areaWISC-IV (VIC, PRI, WMI, PSI, FSIQ)Evidence of adverse effects on WM, VA, and PS (in girls) related to reported exposures at home or school
(118)CSLebanon, Asia 2017n=464 parent-child dyads (46 %) 7.5–13mixture, types not specifiedquestionnaireCattell 2 test (Series, Classification-differences, Matrices, Conditions)No adverse effect
(43)CSUSA (North Carolina), North America PACE5 2018–2019n=141 (50 %)
  • 1. Farmworking (n=76)

  • 2. Non-farmworking (n=65)

8OP, PYRpassive pesticide exposure (silicone wristbands); questionnairesWISC-V (VCI, VSI, FRI, WMI, PSI, FSIQ)No evidence of adverse effects, except mixed effects observed on VA
(79)CSIndonesia, Asian=56 (45 %) 9–11OPAChE blood levels (E); questionnaireMMMSEC (orientation, attention, registration, recall, and language)Evidence of adverse effects on WM, EF, and GIF related to ↓AChE activity
(41)CSEgypt, Africa 2017n=150 (0 %)
  • 1. Exposed (n=100)

  • 2. Controls (n=50)

9–18primarily OP (chlorpyrifos)AChE blood levels (S); questionnaireWAIS (Information, Similarities, Arithmetic, Block Design, Digit Symbol, DST), BVRT, TMT, Santa A dexterity test, Beery Visual Motor Integration Test; questionnaireEvidence of adverse effects on WM, VSVM, EF, SMF, and VA in girls living in agricultural areas, related to para-occupational exposure, and ↓AChE levels
(49)CS-pilotArgentina, South American=71 (49 %)
  • 1. High risk of exposure, Yuto (n=42)

  • 2. Low risk of exposure, León (n=29)

7–10OP, CARBBChE (P) and AChE (E) blood levels; residential location (agricultural or livestock-farming area)WISC-III (DST, Digit-Symbol, Mazes), gross motor skills and balance tasksMixed effects. Evidence of adverse effect on EF, and positive effect on SMF related to residential exposure to pesticides. Null effect on WM and PS
(81)mixedEcuador, South America ESPINA 2008n=545 (49 %) 11–17OP/CARBAChE blood levels (E)CDI-2, MASC-2 Child self-reportEvidence of adverse effects on EB functioning related to ↓AChE activity, especially in female and younger adolescents
(84)CSUSA (Oklahoma), North America 2013n=91 parent-youth dyads (60 %) M = 14.4 (1.7)PYRpesticide concentration (wipe samples from home)Mood and Feelings Questionnaire, Child version (MFQ-C); Parent–child difficulties checklist; Parental involvement (7 items)Evidence of adverse effects on EB functioning in adolescents related to PYR concentration in house dust
(76)COEcuador, South America ESPINA 2016n=554 (49 %) 12–17OP/CARBAChE blood levels (E)CDI-2, MASC-2 Child self-reportEvidence of adverse effects on EB functioning related to ↓AChE activity, stronger in females and older adolescents
(115)COUSA (California), North America CHAMACOS 1999–2000n=537 mother-child dyads (46 %) 14, 16, 18 (within subject)OPmaternal and child urinary OP metabolites (DAPs)BASC-2: Parent form & Self-Report of PersonalityEvidence of adverse effects related to prenatal, but not childhood, OP exposure
(74)CSSpain, Europe INMA-Granada 2017n=151 (100 %) 15–17OP, PYR, CARBurinary OP (TCPy, IMPy, MDA, DETP, DEDTP), PYR (3-PBA, DCCA) and CARB (1-N) metabolitesCBCL/6–18Evidence of adverse effects on EB functioning related to exposure to a combination of insecticides (↑OP & PYR metabolites)
(54)COUSA (California), North America CHAMACOS 1999–2000n=534 mother-child dyads (46 %) 16–17OPmaternal and child urinary OP metabolites (DAPs)WISC-IV (FSIQ), BRIEF; Self-Reported Delinquency and Self-Reported Behavior scales, Conner’s ADHD IndexLimited evidence of adverse effects on EB functioning related to prenatal OP exposure only.
(116)COUSA (California), North America CHAMACOS 1999–2000n=527 mother-child dyads & additional 305 dyads (in 2009–2011) (49 %) 16 & 18 (within subject))neurotoxic pesticides, including OP, PYR, NEO, CARBresidential proximity to agricultural pesticide use (within 1 km from home)BASC-2 Parent version, BASC-2 Self-Report of PersonalityMixed evidence of adverse effects on EB functioning related to living in close proximity to agricultural pesticide use (OP, PYR, CA, NE) during both prenatal and early childhood (0–5 y) development
(75)CSUSA (national, representative), North America NHANES 2007n=17551 (899) (52 %) 16–20PYRurinary PYR metabolites (3-PBA, Trans-DCCA, 4-F-3-PBA, Cis-DBCA)Questionnaire items (sleep disorder, trouble sleeping)Evidence of adverse effects on sleep related to PYR exposure (↑ PYR metabolites) in males
(70)COUSA (California), North America CHAMACOS 1999–2000n=537 mother-child dyads (46 %) 18–19OPOP metabolites (DAPs)WCST, Sternberg working memory test, Pyramids and Palm Trees TaskNo evidence of adverse effect related to prenatal and childhood exposure. In boys, childhood OP exposure (↑OP metabolites) only predicted worse WM
(71)COUSA (California), North America CHAMACOS 1999–2000n=537 mother-child dyads (46 %) 18–19OPmaternal and child urinary OP metabolites (DAPs)WCST; Sternberg working memory task; Pyramids and Palm TreesNo strong evidence of adverse effects related to prenatal or childhood OP exposure
(48)CSArgentina, South American=87 (NR)
  • 1. High exposure, Monterrico (n=31)

  • 2. Medium exposure, Perico (n=33)

  • 3. Low exposure, San Salvador de Jujuy (n=23)

11–16OP, CARBBChE (P) and AChE (E) blood levels; residential location (rural, in close proximity to plantations, or urban)WISC (DST, Digit-Symbol), Lewis Digit Vigilance TestEvidence of adverse effects on WM, AIC, and PS (in moderate exposure group) related to residential exposure to pesticides
(78)CSSouth Africa, Africa CapSA 2017n=1001 (47 %) 9–16mixture, types not specifiedquestionnaireCANTAB (MS, RR, SWM, PAL, MTT, RVP)Evidence of adverse effects on WM, LTM, EF, and SMF in children living on farms, related to eating crops and engaging in farm-related activities. Mixed effects on AIC
(40)CSEgypt, Africa 2005n=100 (100 %)
  • 1. Younger applicators (n=30)

  • 2. Older applicators (n=20)

  • 3. Younger controls (n=30)

  • 4. Older controls (n=20)

9–18primarily OP (chlorpyrifos)AChE blood levels (S/P); questionnaireWAIS (Information, Similarities, Arithmetic, Block Design, Digit Symbol, DST), BVRT, TMT; EPQEvidence of adverse effects on WM, VSVM, EF PS, VA, and EB related to pesticide application and ↓ AChE levels
(58)CSBrazil, South America 2001n=66 (55 %)
  • 1. Rural residents (n=38)

  • 2. Urban residents (n=28)

10–18mixture, types not specifiedquestionnaire; residential location (rural or urban)BARS (CPT, MTS, DST, PRT, SRT, SAT, SDL, SDT, TAP)Evidence of adverse effects on AIC, EF, SMF, and PS related to farming activities in younger adolescents. In whole sample, rural residents performed better on LTM than urban
(57)COEgypt, Africa 2016n=242 (100 %)
  • 1. Applicators (n=177)

  • 2. Non-applicator (n=65)

12–18OP (chlorpyrifos)urinary OP (TCPy) metabolites over 1 yearBARS (MTS, CPT, DST, SDT, SDL, TAP, SRT), Similarities, BVRT, TMT-A & -B, VMI, PEG-SAEvidence of adverse effects on WM, LTM, and SMF related to pesticide application (↑OP metabolites)
(46)CSEgypt, Africa 2005 & 2009n=120 (100 %)
  • 1. Applicators 2005 cohort (n=41)

  • 2. Applicators 2009 cohort (n=21)

  • 3. Non-applicators 2005 cohort (n=38)

  • 4. Non-applicators 2009 cohort (n=20)

12–18OP (primarily chlorpyrifos)BChE blood levels (S/WB); questionnaireBARS, BVRT, WAIS-R, TMT; Neurological assessmentNo strong evidence of adverse effects. ↓ BChE activity only predicted worse performance on EF.
(63)CSEgypt, Africa 2009n=41 (100 %? NR)
  • 1. Applicators (n=21)

  • 2. Non-applicators (n=20)

12–18OP (primarily chlorpyrifos)AChE (E) and BChE (P) blood levels; urinary OP metabolite (TCPy); questionnaireBARS (MTS, SDL, DST, CPT, SAT, TAP, SRT, SDT), BVRT, PEG-SA, TMT, Similarities, Block DesignEvidence of adverse effects on WM, LTM, and VA in adolescent pesticide applicators
(60)COEgypt, Africa 2010n=84 (100 %? NR)
  • 1. Applicators (n=46)

  • 2. Non-applicators (n=38)

12–21OP (primarily chlorpyrifos)AChE and BChE blood levels; urinary OP metabolite (TCPy)BARS (CPT, DST, SDT, TAP), PEG-SA, VMI, TMT, BVRT, Similarities, Block DesignEvidence of adverse effects on WM, AIC, EF, SMF, PS, VA in adolescent pesticide applicators related to ↑OP metabolites and ↓AChE and BChE activity
(62)COEgypt, Africa 2010n=98 (100 %)
  • Formed a posteriori (TCPy concentrations):

  • 1. High exposure (n=47)

  • 2. Low exposure (n=42)

12–21OP (primarily chlorpyrifos)urinary OP metabolite (TCPy); questionnaireBARS (TAP, SAT, DST, SDL, SDT, SRT, RLT), BVRT, TMT, PEG-SA, Similarities, Block Design, VMIEvidence of adverse effects on WM, LTM, AIC, EF, SMF, and PS in adolescents highly exposed to OP pesticides, especially during the application season
DOI: https://doi.org/10.2478/aiht-2025-76-4020 | Journal eISSN: 1848-6312 | Journal ISSN: 0004-1254
Language: English, Croatian, Slovenian
Page range: 159 - 182
Submitted on: Jul 1, 2025
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Accepted on: Aug 1, 2025
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Published on: Sep 30, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Patricia Tomac, Adrijana Košćec Bjelajac, Ivana Hromatko, Veda Marija Varnai, published by Institute for Medical Research and Occupational Health
This work is licensed under the Creative Commons Attribution 4.0 License.