Teachers experience high work-related stress, which can lead to missed workdays and lower quality of life.
OBJECTIVE:
The objective of this exploratory pilot study was to assess occupational and environmental stressors in public school districts by income level to examine the influence these stressors have on teachers perceived stress and biological stress response.
METHODS:
Fifty-nine teachers were recruited from four school districts in Michigan (three low-income and one high-income). Participants completed a self-administered survey on teaching stressors, health, and demographics. Stress response was measured through blood pressure, heart rate, and salivary cortisol. Six salivary cortisol measurements were collected for each participant; three in the afternoon and three in the evening. Each teacher’s classroom and school underwent an environmental assessment on quality and proximity to environmental hazards.
RESULTS:
Teachers at low-income school districts had significantly higher afternoon cortisol levels, lower self-reported health, higher body mass index, higher perceived teaching stressors, and worked at schools within one km of a greater number of environmentally-contaminated sites, in comparison to their high-income school district counterparts.
CONCLUSIONS:
This research aims to inform future interventions that could lessen occupational and environmental stressors for teachers, improve teacher health outcomes and retention, and impact student success rates.
TennantC. Work-related stress and depressive disorders. J Psychosom Res. 2001;51(5):697–704.
5.
VirtanenM, KivimäkiM, ElovainioM, LinnaA, PenttiJ, VahteraJ. Neighbourhood socioeconomic status, health and working conditions of school teachers. J Epidemiol Community Health. 2007;61:326–30.
6.
Kovess-MasfétyV, Sevilla-DedieuC, Rios-SeidelC, NerrièreE, CheeCC. Do teachers have more health problems? Results from a French cross-sectional survey. BMC Public Health. 2006;6(101).
7.
BellingrathS, WeiglT, KudielkaBM. Cortisol dysregulation in school teachers in relation to burnout, vital exhaustion, and effort-reward-imbalance. Biol Psychol. 2008;78(1):104–13.
MohaiP, KweonB, LeeS, ArdK. Air pollution around schools is linked to poorer student health and academic performance. Health Aff. 2011;30(5):852–62.
12.
SiegristJ. Chronic psychosocial stress at work and risk of depression: Evidence from prospective studies. Eur Arch Psychiatry Clin Neurosci. 2008;258(SUPPL. 5):115–9.
Von KänelR. Psychosocial stress and cardiovascular risk: Current opinion. Swiss Med Wkly. 2012;142.
15.
AcabchukRL, KamathJ, SalamoneJD, JohnsonBT. Stress and chronic illness: The inflammatory pathway. Soc Sci Med. 2017;185:166–70.
16.
KielbC, LinS, MuscatielloN, HordW, Rogers-HarringtonJ, HealyJ. Building-related health symptoms and classroom indoor air quality: A survey of school teachers in New York State. Indoor Air. 2015;25:371–80.
17.
AlvesC, DuarteM, FerreiraM, AlvesA, AlmeidaA, CunhaA. Air quality in a school with dampness and mold problems. Air Qual Atmos Heal. 2016;9:107–15.
18.
MuscatielloN, McCarthyA, KielbC, HsuW, HwangS, LinS. Classroom conditions and CO2 concentrations and teacher health symptom reporting in 10 New York State schools. Indoor Air. 2015;25:157–67.
19.
ErvastiJ, KivimäkiM, KawachiI, SubramanianSV, PenttiJ, OksanenT, et al. School environment as predictor of teacher sick leave: Data-linked prospective cohort study. BMC Public Health. 2012;12:770.
U.S. Center for Disease Control & Prevention. Cigarette Smoking Among Adults — United States, 1992, and Changes in the Definition of Current Cigarette Smoking. Morb Mortal Wkly Rep [Internet]. 1994;43(19):342–6. Available from: https://www.jstor.org/stable/23304368
26.
SpruillTM. Chronic psychosocial stress and hypertension. Curr Hypertens Rep. 2010;12(1):10–6.
27.
DahlgrenA, KecklundG, TheorellT, ÅkerstedtT. Day-to-day variation in saliva cortisol-Relation with sleep, stress and self-rated health. Biol Psychol. 2009;82(2):149–55.
28.
GreenA, JonesAD, SunK, NeitzelRL. The association between noise, cortisol and heart rate in a small-scale gold mining community— a pilot study. Int J Environ Res Public Health. 2015;12(8):9952–66.
29.
RydstedtLW, CropleyM, DevereuxJ. Long-term impact of role stress and cognitive rumination upon morning and evening saliva cortisol secretion. Ergonomics. 2011;54(5):430–5.
30.
MainaG, BovenziM, PalmasA, RossiF, FilonRL. Methodological variability of the salivary cortisol measurements. Toxicol Lett. 2012;213(1):21–6.
BadrickE, KirschbaumC, KumariM. The relationship between smoking status and cortisol secretion. J Clin Endocrinol Metab. 2007;92(3):819–24.
33.
VreeburgSA, KruijtzerBP, van PeltJ, van DyckR, DeRijkRH, HoogendijkWJG, et al. Associations between sociodemographic, sampling and health factors and various salivary cortisol indicators in a large sample without psychopathology. Psychoneuroendocrinology. 2009;34(8):1109–20.
34.
BadrickE, BobakM, BrittonA, KirschbaumC, MarmotM, KumariM. The relationship between alcohol consumption and cortisol secretion in an aging cohort. J Clin Endocrinol Metab. 2008;93(3):750–7.
35.
KudielkaBM, HellhammerDH, WüstS. Why do we respond so differently? Reviewing determinants of human salivary cortisol responses to challenge. Psychoneuroendocrinology. 2009;34(1):2–18.
36.
GardeAH, PerssonR, HansenÅM, ÖsterbergK, ØrbækP, EekF, et al. Effects of lifestyle factors on concentrations of salivary cortisol in healthy individuals. Scand J Clin Lab Invest. 2009;69(2):242–50.
37.
HeaneyJLJ, PhillipsAC, CarrollD. Aging, health behaviors, and the diurnal rhythm and awakening response of salivary cortisol. Exp Aging Res. 2012;38(3):295–314.
38.
SmythN, HucklebridgeF, ThornL, EvansP, ClowA. Salivary cortisol as a biomarker in social science research. Soc Personal Psychol Compass. 2013;7(9):605–25.
PickeringTG, HallJE, AppelLJ, FalknerBE, GravesJ, HillMN, et al. Recommendations for blood pressure measurement in humans and experimental animals. Part Blood pressure measurement in humans: A statement for professionals from the subcommittee of professional and public education of the American Heart Association cou. Hypertension. 2005;45(1):142–61.
TobinMD, SheehanNA, ScurrahKJ, BurtonPR. Adjusting for treatment effects in studies of quantitative traits: Antihypertensive therapy and systolic blood pressure. Stat Med. 2005;24(19):2911–35.
National Center for Education Statistics. Education demographic and geographic estimates: District demographic dashboard [Internet]. Available from: https://nces.ed.gov/Programs/Edge/ACSDashboard/
KarhulaK, HärmäM, SallinenM, LindholmH, HirvonenA, ElovainioM, et al. Association of job strain with cortisol and alpha-amylase among shift-working health care professionals in laboratory and field. Biol Res Nurs. 2016;18(1):101–12.
53.
MasilamaniR, DarusA, TingAS, AliR, MahmudABA, DavidK. Salivary biomarkers of stress among teachers in an urban setting. Asia-Pacific J Public Heal. 2012;24(2):278–87.
54.
YangY, KohD, NgV, LeeFC, ChanG, DongF, et al. Stress among emergency department nurses. J Occup Environ Med. 2001;43(12):1011–8.
55.
CanalsJ, ColominaMT, DomingoJL, DomènechE. Influence of smoking and drinking habits on salivary cortisol levels. Pers Individ Dif. 1997;23(4):593–9.
56.
DavilaEP, KuklinaEV, ValderramaAL, YoonPW, RolleI, NsubugaP. Prevalence, management, and control of hypertension among us workers: Does occupation matter? J Occup Environ Med2012;54(9):1150–6.
57.
NwankwoT, YoonSS, BurtV, GuQ. Hypertension among adults in the United States: National Health and Nutrition Examination Survey, 2011–2012. NCHS Data Brief. 2013;133:1–8.
58.
SchnallR. Job strain and cardiovascular disease. Annu Rev Public Health. 1994;15(1):381–411.
59.
SchnallPL, SchwartzJE, LandsbergisPA, WarrenK, PickeringTG. Relation between job strain, alcohol, and ambulatory blood pressure. Hypertension. 1992;19(5):488–94.
60.
GrineskiSE, CollinsTW. Geographic and social disparities in exposure to air neurotoxicants at U.S. public schools. Environ Res [Internet]. 2018;161(September 2017):580–7. Available from: https://doi.org/10.1016/j.envres.2017.11.047
61.
Michigan Land Use Institute. Hard Lessons: Causes and Consequences of Michigan’s School Construction Boom. 2004.
62.
FilardoM, VincentJ, SungP, SteinT. Growth and Disparity: A Decade of US Public School Construction [Internet]. Building Educational Success Together. 2006. Available from: https://files.eric.ed.gov/fulltext/ED498100.pdf
63.
KarasekR, BakerD, MarxerF, AhlbomA, TheorellT. Job decision latitude, job demands, and cardiovascular disease: A prospective study of Swedish men. Am J Public Health. 1981;71(7):694–705.
64.
SiegristJ. Adverse health effects of high-effort / low-reward conditions. 1994;1:27–41.
65.
AbelMH, SewellJ. Stress and burnout in rural and urban secondary school teachers. J Educ Res. 1999;92(5):287–93.
66.
BurkeRJ, GreenglassER, SchwarzerR. Predicting teacher burnout over time: Effects of work stress, social support, and self-doubts on burnout and its consequences. Anxiety, Stress Coping. 1996;9(3).
67.
BellingrathS, RohlederN, KudielkaBM. Healthy working school teachers with high effort-reward-imbalance and overcommitment show increased pro-inflammatory immune activity and a dampened innate immune defence. Brain Behav Immun. 2010;24:1332–9.
68.
OberleE, Schonert-ReichlKA. Stress contagion in the classroom? The link between classroom teacher burnout and morning cortisol in elementary school students. Soc Sci Med [Internet]. 2016;159:30–7. Available from: https://dx.doi.org/10.1016/j.socscimed.2016.04.031
69.
HoglundWLG, KlingleKE, HosanNE. Classroom risks and resources: Teacher burnout, classroom quality and children’s adjustment in high needs elementary schools. J Sch Psychol [Internet]. 2015;53(5):337–57. Available from: https://dx.doi.org/10.1016/j.jsp.2015.06.002
70.
OwensA, ReardonSF, JencksC. Income segregation between schools and school districts. Am Educ Res J. 2016;53(4):1159–97.
71.
OwensA. Inequality in children’s contexts: Income segregation of households with and without children. Am Sociol Assoc. 2016;81(3):549–74.
72.
ReardonSF, BischoffK. Income inequality and income segregation. Am J Sociol. 2011;116(4):1092–153.
73.
AloeAM, AmoLC, ShanahanME. Classroom management self-efficacy and burnout: A multivariate meta-analysis. Educ Psychol Rev. 2014;26(1):101–26.
