Table 2. Codesheet from the included articles.
Study | HRV | Effect direction (+ = positive, - = negative) | Significant at the p < .05 level? (y/n) | Time HR assessment | Stress Measure | Study design; Year; Country | Sample Description | N analysis; N reported | Age Mean; Range; %Female; Stress division | Remarks |
---|---|---|---|---|---|---|---|---|---|---|
(Bishop et al., 2003)[65] | HR_w | + | y | every 30 min during a workday | JDC | C; -; Singapore | Singapore Police Officers | 108; 118 | 26.9; 19–50; -; SD | |
(Borchini et al., 2014)[40] and (R. Borchini, personal communication, March 1st, 2017) | HF_l | - | n | 2 24 hour days continuous | JDC and ERI both used to identify high strain | L; 2010; Italy | CVD susceptible nurses | 36 | 38.1; -; 83.3; E/R D/C | |
HF_wln | - | y | ||||||||
PNN50_l | - | n | ||||||||
PNN50_wln | - | n | ||||||||
RMSSD_lln | - | n | ||||||||
RMSSD_wln | - | n | ||||||||
SDNN_lln | - | n | ||||||||
SDNN_wln | - | y | ||||||||
HR_lln | + | n | ||||||||
HR_wln | + | n | ||||||||
(Butterbaugh et al., 2003)[66] | HR_r | ne | n | - | JDC | C; -; - | Newly employed female nurses | 58 | -; -; 100; D/C | |
(Chandola et al., 2008)[67] | HF_r | - | y | 5 min RR was used | JDC | L; 1985–2004; Great Britain | Civil servants | 3290 | -; 35–56; -; Mdn | |
SDNN_r | - | y | ||||||||
(Clays et al., 2011)[43] | HF_wln | - | n | 24 hours including workday, HRV measures are based on 24 h | JDC | C; 1976–1978; Belgium | Healthy male factory workers | 653; 770 | 47; 40–55; 0; Sum | |
PNN50_wln | - | n | ||||||||
SDNN_wln | - | n | ||||||||
HR_wln | + | y | ||||||||
(Collins et al., 2005)[68] | HF_w(l)ln | - | y | 48 hours, including work and rest days | JDC | C; -; United States | Healthy employed day shift working men from a community health plan and N = 6 from a stress reduction program | 34; 36 | 45; 35–59; 0; Tri | |
HF_w | - | n | ||||||||
SDNN_w(l)ln | + | n | ||||||||
SDNN_w | - | n | ||||||||
HR_w(l)ln | + | n | ||||||||
HR_w | + | y | ||||||||
(van Doornen et al., 2009)[69] | HF_l | - | n | 24 hour workday | Burnout (Maslach) | C; -; Netherlands | Male managers of a Dutch telecommunications company | 88 | 43.3; -; 0; HLC | |
HF_n | - | n | ||||||||
HF_w | - | n | ||||||||
HR_l | - | n | ||||||||
HR_n | + | n | ||||||||
HR_w | + | n | ||||||||
(Ekstedt et al., 2004)[70] | HR_n | + | y | 24 hour, but HR measured at rest before awaking at 7 am +/- 1 hour | Burnout (Shirom Melamed) | C; -; Sweden | Employees of IT company | 24 | 30.5; 24–43; 58.3; HLC | The significant effect must be interpreted with caution, it is part of a multiple regression analysis and burnout group is entered as a dummy. |
(Eller et al., 2011)[38] | HF_r | - | n | 18 hour ECG starting on a workday in both 2006 and 2008, but only 15 min logtransformed seated rest in analysis | ERI | L; 2006–2008; Denmark | White collar workers in the public administration males | 61 | 51.2; -; 0; E/R | |
HF_r | - | y | ||||||||
HR_r | + | y | ||||||||
HR_r | + | y | ||||||||
(Eriksson et al., 2016)[71] | HR_r | + | y | 5–10 min resting period | JDC | C; 2001–2004; Sweden | Working population | 1552 | 46; 24–71; 52; D/C | |
(Fauvel et al., 2001)[72] | HR_r | ne | n | Measured during 15 minutes of seated rest | JDC | C; 1995–2001*; France | workers of a chemical company | 281 | 37.3;18–55; 8; HL | Top 20% was considered a high strain group |
HR_t | + | n | ||||||||
HF_r | + | n | ||||||||
HF_t | + | n | ||||||||
(Hamer et al., 2006)[45] | HR_r | + | n | 10 min BP (measured last 5 min of a 10 min resting period) | ERI | C; 2003–2004; Great Britain | full time employed men | 92 | 33.1; -; 0; E/R | |
HR_t | - | y | 8 min BP measured during a role playing and mirror tracing tasks | |||||||
(Hanson et al., 2001)[59] | HF_w(l) | - | n | During a working day, but for the office clerks the measurements continued into the evening (until 21.30) | ERI | C; -; Netherlands | Health professionals and office clerks | 70 | 36.3; -; 44; E/R | Only seated periods were analyzed |
(Henning et al., 2014)[47] | RMSSD_n | ne | n | 24 hour Amb measurement, but the unit of analysis is data between 2 am and 4 am | Burnout (Copenhagen Burnout Inventory) | L; -; New Zealand | junior doctors | 17 | -; 20-?; 65; Mean | In the conclusion it states that there were no doctors with burnout, so there is actually nothing to compare |
RMSSD_wl | ne | n | ||||||||
(Hernández-Gaytan et al., 2013) [73] | HF_w | - | n | 24 hour ECG workday, 8 hour shift and 16 hour on call time | JDC | C; 2007–2008; Mexico | resident doctors | 54 | -; 23–36; 33; Mdn | |
SDNN_w | - | n | ||||||||
(Herr et al., 2015)[41] and (R. Herr, personal communication, February 22nd, 2017) | HF_n | + | y | 24 hour ECG | OI | C; 2007; Germany | White collar workers | 179 | 46.4; -; 0; Sum | Sum is total OI scale |
HF_wln | + | n | ||||||||
RMSSD_n | + | y | ||||||||
RMSSD_wln | + | n | ||||||||
SDNN_n | + | y | ||||||||
SDNN_wln | + | n | ||||||||
HF_n | - | n | Blue collar workers | 222 | 44.3; -; 0; Sum | |||||
HF_wln | - | n | ||||||||
RMSSD_n | - | n | ||||||||
RMSSD_wln | - | n | ||||||||
SDNN_n | - | n | ||||||||
SDNN_wln | - | n | ||||||||
(Hintsanen et al., 2007)[39] | HR_r | - | n | 3 min controlled breathing | ERI | C; 2001–2002; Finland | Employed people working full time males | 406 | 32.2; 24–39; 0; E/R | |
HF_r | + | n | ||||||||
PNN50_r | + | n | ||||||||
RMSSD_r | + | n | ||||||||
HR_r | + | n | 457 | 32.3; 24–39; 100; E/R | ||||||
HF_r | - | n | ||||||||
PNN50_r | - | y | ||||||||
RMSSD_r | - | y | ||||||||
(Jarczok et al., 2016)[61] | RMSSD_n | - | y | 24 hour workday continuous | ERI | C; 2010–2012; Germany | Mannheim Industrial Cohort (MICS) | 9924; 9937 | 41.9; 18–65; 19; E/R | |
RMSSD_wl | - | y | ||||||||
(Johnston et al., 2016)[74] | HR_w | + | n | 2 12 hour workdays | JDC and ERI | C; -; Great Britain | Qualified nurses in a general hospital on medical and surgical wards | 100 | 36.4; -; 93; Sum | |
(Jönsson et al., 2015)[3] and (P. Jönsson, personal communication, February 16 th, 2017) | HR_t | - | n | 1 hour ECG during task and recovery with a baseline reading | Burnout (Shirom Melamed) | Lab; -; - | Employed population with N = 14 Former ED (Burnout) patients, n = 17 pre ED stage workers and n = 20 controls | 51 | 48.7; 33–61; 51; HLC | |
HF_t | + | n | ||||||||
(Kang et al., 2004)[49] | HF_r | - | n | 5 minutes in the morning | JDC | C; 2003; South-Korea | Male shipyard workers | 169 | 46.7; 41-?; 0; D/C | |
SDNN_r | - | n | ||||||||
(Karhula et al., 2014)[75] | HR_n | - | n | 3 non consecutive 24 hour days including a morning shift, night shift and recovery day. Data used for analysis was at least 4h of sleep after which the 30 min segment with the lowest heart rate was used for analysis. | JDC | C; 2008; Finland | Female nurses | 95 | 47.2; 31–59; 100; mdn and mean | mdn and mean (to get a greater contrast) |
HF_n | ne | n | ||||||||
RMSSD_n | ne | n | ||||||||
(Kotov and Revina, 2012)[50] | HF_w | - | y | 8 hour workday | Burnout (Boiko) | C; -; Russia | First-aid doctors | 44; 84 | -; 26–65; 56; HLC | Both coping strategy groups show a negative effect |
PNN50_w | + | n | The effect is negative for a task-oriented coping strategy. The effect is positive for an emotion oriented strategy. | |||||||
RMSSD_w | - | n | The effect is negative for a task-oriented coping strategy. The effect is positive for an emotion oriented strategy. | |||||||
SDNN_w | - | n | Burnout (Alarm stage vs no Burnout). Article uses coping strategies as comparator. The effect is negative for a task-oriented coping strategy. The effect is positive for an emotion oriented strategy. | |||||||
(Lee et al., 2010)[76] | HF_r | + | n | Measured 3 times in each subject after completion of 1 day, 1 night and 1 eveningshift in a 5 min rest period after 5 min of rest. | JDC | C; -; South-Korea | Employees of consumer goods company | 56; 140 | 29.1; 25–44; 0; D/C | |
(Lennartsson et al., 2016)[52] | HF_r | - | y | 5 minutes in the morning in supine position | Burnout (Shilom-Melamed) | Lab; -; Sweden | Employed, working and on sick leave burnout patients, non-clinincal burnout subjects and healthy controls | 161 | 40; 20–65; 60; HLC/HL | The effects are only significant in men. |
RMSSD_r | - | y | ||||||||
SDNN_r | - | y | ||||||||
(Loerbroks et al., 2010)[30] | RMSSD_l | ne | n | 24 hour wln measure | ERI | C; 2003–2004; Germany | Employees from an airplane manufacturer | 591; 657 | 41.6; 17–65; 12; E/R | Some positive, some negative, only age group 35–44 negative significant effect |
RMSSD_l | ne | n | JDC | |||||||
RMSSD_n | ne | n | ERI | |||||||
RMSSD_n | ne | n | JDC | |||||||
RMSSD_w | ne | n | ERI | |||||||
RMSSD_w | ne | n | JDC | |||||||
(Morgan et al., 2002)[32] | HF_r | + | y | 10 min in supine position | Burnout (Maslach) | C; -; United States | Soldiers | 41 | -; -; -; HL | |
(Moya-Albiol et al., 2010)[48] | HR_w | -/ne | y/n | 3 times a day 30 min during seated rest | Burnout (Maslach) | C; -; Spain | Full- time school teachers | 64; 80 | 42.8; -; 80; Mean | This effect was caused by HR at the middle of the day, which was significantly negatively correlated, the beginning of the day was positive, and the end of the day negatively related. Those were non-significant. |
(Nomura et al., 2005)[77] | HR_r | + | n | After 5 min of rest measures were taken at rest | JDC | C; 2003; Japan | Employees from IT company | 396; 437 | 30; 24–39; 0; D/C | 20% highest were allocated to high job strain group |
(Ohira et al., 2011)[42] | HR_r | + | y | During baseline and 2 learning tasks | JDC | Lab; -; Japan | Full time employed men | 20 | 32.6; -; 0; D/C | D/C (but with median split in the sample) |
HF_r | + | n.r. | ||||||||
HF_t | + | n.r. | ||||||||
(Poorabdian et al., 2013)[64] | HR_? | + | n.r.* | - | JDC | C; 2007–2009; Iran | Male personnel at a petrochemical plant | 500 | 42.5; 22–64; 0; HL | * The authors presented a Chi-square. The percentage of people with the highest heart rate was highest in the high job strain group. (only the omnibus test is presented for all 12 categories) |
(Rau, 2001)[44] | HR_n | ne | n.r. | Every 15 minutes over 24 hours during a normal working day | JDC | C; 1985-?; Sweden | Employed hypotensive (n = 74) and hypertensive (n = 75) men | 81; 149 | 50.1; 35–55; 0; Mean | Mean (they use z scores). In the regression analysis, both control and support scales have a negative effect. The demand scale is not significant as it is not reported, the direction is therefore unclear. |
HR_w | ne | n.r. | ||||||||
(Riese et al., 2004)[78] | HR_w(l)ln | ne | n | 2 days, for 24 hours on a workday and one on a leisure day | JDC | L; 1997–1998; Netherlands | Healthy female nurses | 159 | 35.9; 25–50; 100; Median | Median with a distinction of the four quadrants each year. High job strain year 1 and 2, yes or no. (results in 4 groups, y-y, n-n, y-n, n-y) |
RMSSD_w(l)ln | ne | n | ||||||||
(Salavecz et al., 2010)[79] | HF_l | - | y | Measured over the working day | JDC | C; -; Hungary | Women working in Budapest | 169 | -; -; 100; - | They report on data after work |
(Teisala et al., 2014)[80] | RMSSD_w | - | n | 3 24 hour workdays, HRV measures are based on 24 h, not all participants three days. One day (n = 10, two days (n = 70), three days (n = 1). | Burnout (bergen) | C; -; - | Employed people | 81 | 34; 26–40; 0; Mean | |
(Uusitalo et al., 2011)[51] | HF_w | ne | n | 2 36 hour workdays | ERI | C; -; Finland | Healthy hospital workers | 19; 22 | 42; 24–57; 95; E/R | On day 2 it was significant, not on day 1 |
RMSSD_w | - | y/n | ||||||||
SDNN_w | ne | n | ||||||||
(van Amelsvoort et al., 2000)[44] | HR_n | - | n | 24 hour workday | JDC | C; -; Netherlands | Shift workers and daytime workers as controls, working in the manufacturing industry, waste incinerator industry and hospitals | 135; 155 | 30.8; 18–55; 19; D/C | For SDNN_n the contrast between high D, H control and low stress was significant) |
HR_w | + | y | ||||||||
HF_n | - | n | ||||||||
HF_w | - | n | ||||||||
SDNN_n | - | n | ||||||||
SDNN_w | + | n | ||||||||
(Vrijkotte et al., 2000)[21] | HR_l | + | y | 2 24 hour workdays and 1 24 h non workday | ERI | C; 1996–1997; Netherlands | White collar workers of a computer company | 109 | 47.2; 37–57; 0; E/R | |
HR_n | + | n | ||||||||
HR_w | + | y | ||||||||
RMSSD_l | - | n | ||||||||
RMSSD_n | - | n | ||||||||
RMSSD_w | - | n |
JDC = Job demands control; ERI = Effort reward imbalance; OI = Organizational injustice; C = Cross-sectional; L = Longitudinal; Lab = Laboratory; HR = Heart rate; HF = High frequency; RMSSD = Root mean square of successive differences; PNN50 = percentage of adjacent cycles that are greater than 50 ms apart; HRV = Heart rate variability; SDNN = Standard deviation of all N-N intervals; RR = R to R intervals; SD = Standard deviation; E/R = Effort divided by reward; D/C = Demand divided by control; Mdn = Median; Sum = Sumscore; Tri = Triangulation of data; HL = Based on high low scores; HLC = Based on clinical high low scores; _l = measured during leisure time; _r = measured during rest; _w = measured during a workday; wln = measured during a period including workday, leisure time and night;_n = measured during a night; _t = Measured during a task; n.r. = Not reported; ne = No effect.