Aboveground plant biomass from the Jena Experiment (Monocultures, year 2010)

This data set contains aboveground plant biomass in 2010 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. One of the replicate plots per species was given up after the vegetation period of 2007 for all but the nine species belonging also to the so called dominance experiment in Jena. These nine species are: Alopecurus pratensis, Anthriscus sylvestris, Arrhenatherum elatius, Dactylis glomerata, Geranium pratense, Poa trivialis, Phleum pratense, Trifolium repens and Trifolium pratense.In 2010 plot size was reduced to 1 x 1 m. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2010 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 1 rectangle of 0.2 x 0.5 m per plot. The location of this rectangle was in the center of the plot area. The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2005)

This data set contains aboveground plant biomass in 2005 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2005 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2006)

This data set contains aboveground plant biomass in 2006 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2006 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2007)

This data set contains aboveground plant biomass in 2007 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2007 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2008)

This data set contains aboveground plant biomass in 2008 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. One of the replicate plots per species was given up after the vegetation period of 2007 for all but the nine species belonging also to the so called dominance experiment in Jena. These nine species are: Alopecurus pratensis, Anthriscus sylvestris, Arrhenatherum elatius, Dactylis glomerata, Geranium pratense, Poa trivialis, Phleum pratense, Trifolium repens and Trifolium pratense.In 2008 plot size was reduced to 2.5 x 2.5 m. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2008 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2009)

This data set contains aboveground plant biomass in 2009 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. One of the replicate plots per species was given up after the vegetation period of 2007 for all but the nine species belonging also to the so called dominance experiment in Jena. These nine species are: Alopecurus pratensis, Anthriscus sylvestris, Arrhenatherum elatius, Dactylis glomerata, Geranium pratense, Poa trivialis, Phleum pratense, Trifolium repens and Trifolium pratense.In 2008 plot size was reduced to 2.5 x 2.5 m. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2009 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was in the center of the plot area. The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2002)

This data set contains aboveground plant biomass in 2002 (Sown plant community; measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2002 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. From the harvested biomass only the separated biomass of the sown plant species was kept. All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Aboveground plant biomass from the Jena Experiment (Monocultures, year 2004)

This data set contains aboveground plant biomass in 2004 (Sown plant community, Weed plant community, Dead plant material, and Unidentified plant material; all measured in biomass as dry weight) of the monoculture plots of a large grassland biodiversity experiment (the Jena Experiment). In the monoculture plots the biomass of the sown plant community contains only a single species per plot and this species is a different one for each plot. Which species has been sown in which plot is stated in the plot information table for monocultures (see further details below). The monoculture plots of 3.5 x 3.5 m were established for all of the 60 plant species of the Jena Experiment species pool with two replicates per species. These 60 species comprising the species pool of the Jena Experiment belong to four functional groups (grasses, legumes, tall and small herbs). Plots were sown in May 2002 and are since maintained by bi-annual weeding and mowing. Aboveground plant biomass was harvested twice in 2004 just prior to mowing (during peak standing biomass in early June and in late August) on all experimental plots of the monocultures. This was done by clipping the vegetation at 3 cm above ground in 2 rectangles of 0.2 x 0.5 m per plot. The location of these rectangles was assigned prior to each harvest by random selection of coordinates within the core area of the plots (i.e. excluding an outer edge of 0.5 m). The positions of the rectangles within plots were identical for all plots. The harvested biomass was sorted into categories: sown plant species, weed plant species (species not sown at the particular plot), detached dead plant material (i.e., dead plant material in the data file), and remaining plant material that could not be assigned to any category (i.e., unidentified plant material in the data file). All biomass was dried to constant weight (70°C, >= 48 h) and weighed. The data for individual subsamples (i.e. rectangles) and the mean over samples for all biomass measures are given.

Collection of measurements on environmental conditions in plots of the Jena Experiment (time series since 2002)

This collection contains measurements of environmental conditions measured on the plots of the different sub-experiments at the field site of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. The following series of datasets are contained in this collection: 1.Soil temperature measurements on plots of the Main Experiment; 2. Quantification of the duration that individual plots of the Main Experiment were submerged during a flooding event occurring in June 2013

Saatanan hahmo Azazelin tähden filosofiassa

Pro gradu -tutkielman aiheena on Azazelin tähti -nimisen seuran filosofia ja maailmankuva sekä erityisesti Saatanan hahmo sen osana. Tutkielman tavoitteena on selvittää, millaisista tekijöistä seuran maailmankuva sitä käsittelevän kirjallisuuden valossa koostuu, ja minkälaisen roolin ja merkityksen Saatanan hahmo seuran filosofisessa systeemissä saa. Lisäksi tutkielmassa selvitetään Azazelin tähden filosofian ja sen ilmentämän Saatanan hahmon yhteyttä länsimaiseen esoteriaan. Tutkielman aineisto koostuu Azazelin tähden sisäisen ryhmän jäsenten, erityisesti perustajajäsen Johannes Nefastoksen Saatanaa ja seuran maailmankuvaa käsittelevistä kirjoituksista. Työ on tekstintutkimusta, jonka menetelmänä on hermeneuttinen sisällönanalyysi. Teoreettinen viitekehys muodostuu länsimaisen esoteriatutkimuksen viimeisen vuosikymmenen vaikutusvaltaisista näkemyksistä. Länsimaisen esoterian lisäksi keskeisiä käsitteitä ovat maailmankuva ja filosofia. Tutkimusaineiston analyysi osoittaa, että Azazelin tähden erityisesti blavatskylaisesta teosofiasta inspiraatiota saanut maailmankuva näyttäytyy korostetun esoteerisena kaikilla tutkielmassa tarkastelluilla tavoilla ymmärtää käsitettä. Länsimaisen esoterian ymmärtäminen absoluuttista tietoa korostavana diskurssina kuvastaa hyvin Azazelin tähden filosofian ydintavoitetta, joka on ihmisen lähentyminen kohti jumaluutta, jollaiseksi ymmärretään koko todellisuus erityisenä Ykseytenä. Länsimaisen esoterian ymmärtäminen hegemonisten maailmankuvien hylkäämistä ajatteluperinteistä luoduksi konstruktioksi puolestaan valaisee Saatanan hahmon roolia ja keskeisyyttä Azazelin tähden filosofiassa. Saatana on Azazelin tähden filosofiassa tärkein niistä todellisuuden osatekijöistä, joita seura kutsuu arkkityypeiksi, voimiksi tai jumaliksi. Saatana saa seuran filosofiassa monenlaisia nimityksiä ja ilmenemismuotoja. Yhteistä niille kaikille on se, että Saatanan hahmo korostaa aina sellaisia Ykseyden piirteitä, joita ihmiset ovat seuran mukaan kollektiivisella tai henkilökohtaisella tasolla syystä tai toisesta hylänneet, unohtaneet tai tuominneet, mutta jotka osana Ykseyttä ovat seuran filosofisessa systeemissä silti tärkeitä ja tavoiteltavia eivätkä voi edustaa pahaa. Saatanan yhdistäminen rikollisuuteen tai pahuuteen perustuu seuran mukaan täten aina väärinymmärrykselle. Nykyajassa Saatana korostaa erityisesti sellaisia asioita, jotka seuran filosofiassa hegemonisina mielletyt monoteistiset tai materialistiset maailmankuvat ovat sen mukaan hylänneet. Tästä näkökulmasta Saatana siis edustaa merkittävällä tavalla sitä, mikä seuran maailmankuvassa on nimenomaan esoteerista ja mikä sen erottaa muunlaisisista maailmankuvista.

”Näytä pukumieheltä. Puhu kuin pukumies. Keksi itsellesi elämä.” Raha, uusi työ ja kuluttajasubjekti 2010-luvun kotimaisessa kaunokirjallisuudessa

Tutkimuksen tavoitteena on tarkastella miten uusliberalistisia kuluttajasubjekteja rakennetaan kaunokirjallisessa kerronnassa. Lähestyn aihetta tarkastelemalla aineistossani esiintyvää talousdiskurssia: rahan merkitystä toiminnan mahdollistavana välineenä, uuden työn rakenteita, jotka määrittelevät kuluttajasubjektin toiminta-aluetta sekä kulutusvalintoja, joilla subjekti haluaa ilmaista kuuluvansa johonkin sosiaaliseen ryhmään tai erottautuvansa siitä. Aineistona on kolme romaania, jotka kritisoivat ja parodioivat ironian keinoin kapitalistisen yhteiskunnan arvoja ja toimintamalleja. Miika Nousiaisen Metsäjätti (2011) käsittelee palkkatyöläisyyden ja yhteisökulttuurin muutosta jälkiteollisen työn globaaleille työmarkkinoille, joilla pärjäävät ne, jotka onnistuvat haalimaan eniten resursseja: koulutusta, verkostoja, rahaa. Tuomas Kyrön Kerjäläisessä ja jäniksessä (2011) romanikerjäläinen matkustaa ihmissalakuljettajan avulla Suomeen tavoittelemaan parempaa tulevaisuutta ja pääsyä länsimaiseen kulutuskulttuuriin. Venla Hiidensalon Mediahuora (2012) kertoo pakkopienyrittäjyydestä, jossa tekstityöläisellä, vapaalla toimittajalla, ei ole oikeutta tai mahdollisuutta sosiaaliturvaan tai moraaliin, mikäli haluaa pysyä työn syrjässä kiinni ja ruokkia jälkikasvunsa. Tutkimusta ohjaavina käsitteinä käytetään kuluttajasubjektia, talousdiskurssia, yhteiskuntaluokkaa ja identiteettiä. Teoriani rakentuu yhdistämällä kirjallisuudentutkimusta, kulttuurintutkimusta sekä sosiologista tutkimusta. Käytän Pierre Bourdieun pääoma-mallia, Beverley Skeggsin yhteiskuntaluokkatutkimusta, Jussi Ojajärven tutkimuksia kaunokirjallisuuden uusliberalistisesta käänteestä, Stuart Hallin identiteetti- ja subjektiteoria sekä Raija Julkusen uuden työn tutkimusta. Tutkimukseni osoittaa, että huumorin keinoja käyttävä kaunokirjallisuus toimii kritiikkinä luonnollistunutta valtaideologiaa sekä puhetapoja kohtaan ja tekee uusliberalismin ongelmia näkyväksi, samalla kerrontatapa uusintaa uusliberalistista menestystarinaa, kun se näyttää, että kuluttajasubjektit päätyvät sattumanvaraisesti haluamiinsa yhteiskuntaluokkiin ja kuluttajaryhmiin.

Arvovirtakartoitus ja lean-menetelmät: hukan tunnistaminen pk-yrityksen toimistoympäristössä

Tämän diplomityön tarkoituksena oli tutkia pk-yrityksen toimistoympäristössä tapahtuvaa prosessia ja tehostaa sen toimintaa lean-työkaluja käyttämällä. Prosessin hukkien tunnistamiseksi kohdeyritykseen toteutettiin arvovirtakartoitus jonka tuloksena tunnistettiin prosessien eri vaiheiden hukat ja kohdistettiin niihin ehkäisevät lean-toimenpiteet. Tutkimus toteutettiin kvalitatiivisena toimintatutkimuksena, joka sisältää kirjallisuusosion sekä empiirisen osion kohdeyritykseen suoritetun arvovirtakartoituksen muodossa. Kirjallisen osion teoria on kerätty tieteellisestä kirjallisuudesta ja artikkeleista, artikkelit koostuvat suurelta osin internet-lähteistä. Työn empiirinen osio ja sen tiedot on kerätty tutustumalla case-yrityksen toimistoprosessiin sekä suorittamalla lukuisia haastatteluja yrityksen henkilöstön kanssa. Eniten hukkaa aiheutui dokumentoinnin ja työkalujen puutteesta sekä sisäisestä yhteistyökyvyttömyydestä. Työn tulokset tukevat lean-työkalujen käyttämistä, sillä suurin osa esiintyvästä hukasta on mahdollista ehkäistä helposti työn paremmalla dokumentoinnilla ja päivittäisiä työtapoja muokkaamalla. Sopivimmat lean-työkalut olivat standardoitu työ, kaizen sekä gemba.

Work stress, smoking status and smoking intensity: an observational study of 46 190 employees

Study objective: To examine the relationship between work stress, as indicated by the job strain model and the effort-reward imbalance model, and smoking. Setting: Ten municipalities and 21 hospitals in Finland. Design and Participants: Binary logistic regression models for the prevalence of smoking were related to survey responses of 37 309 female and 8881 male Finnish public sector employees aged 17-65. Separate multinomial logistic regression models were calculated for smoking intensity for 8130 smokers. In addition, binary logistic regression models for ex-smoking were fitted among 16 277 former and current smokers. In all analyses, adjustments were made for age, basic education, occupational status, type of employment and marital status. Main results: Respondents with high effort-reward imbalance or lower rewards were more likely to be smokers. Among smokers, an increased likelihood of higher intensity of smoking was associated with higher job strain and higher effort-reward imbalance and their components such as low job control and low rewards. Smoking intensity was also higher in active jobs in women, in passive jobs and among employees with low effort expenditure. Among former and current smokers, high job strain, high effort-reward imbalance and high job demands were associated with a higher likelihood of being a current smoker. Lower effort was associated with a higher likelihood of ex-smoking. Conclusions: This evidence suggests an association between work stress and smoking and implies that smoking cessation programs may benefit from the taking into account the modification of stressful features of work environment. Key words: effort-reward imbalance; job strain; smoking. Abbreviations: OR, odds ratio; CI, confidence interval; SES, socioeconomic status

Organisational justice and smoking: the Finnish Public Sector Study

Study Objective: To examine the extent to which justice of decision-making procedures and interpersonal relations is associated with smoking. Setting: Ten municipalities and 21 hospitals in Finland. Design and Participants: Cross-sectional data derived from the Finnish Public Sector Study were analysed with logistic regression analysis models with generalized estimating equations. Analyses of smoking status were based on 34 021 employees. Separate models for heavy smoking (>20 cigarettes per day) were calculated for 6295 current smokers. Main results: After adjustment for age, education, socio-economic position, marital status, job contract, and negative affectivity, smokers who reported low procedural justice were about 1.4 times more likely to smoke >20 cigarettes per day compared with their counterparts with high justice. In a similar way, after adjustments, low justice in interpersonal treatment was significantly associated with an elevated prevalence of heavy smoking (odds ratio (OR) = 1.35, 95% CI = 1.03 to 1.77 for men and OR = 1.41, 95% CI = 1.09 to 1.83 for women). Further adjustment for job strain and effort-reward imbalance had little effect on these results. There were no associations between justice components and smoking status or ex-smoking. Conclusions: The extent to which employees are treated with justice in the workplace seems to be associated with smoking intensity independently of established stressors at work.

Low organisational justice and heavy drinking: a prospective cohort study

Objectives: To investigate whether low perceived organisational injustice predicts heavy drinking among employees. Methods: Data from the prospective occupational cohort study, the 10-Town Study, related to 15 290 Finnish public sector local government employees nested in 2432 work units, were used. Non-drinkers were excluded. Procedural, interactional and total organisational justice, heavy drinking (>=210 g of absolute alcohol per week) and other psychosocial factors were determined by means of questionnaire in 2000-2001 (phase 1) and 2004 (phase 2). Multilevel logistic regression analyses taking into account for the hierarchical structure of the data were conducted and adjustments were made for sex, age, socio-economic position, marital status, baseline heavy drinking, psychological distress and other psychosocial risk factors such as job strain and effort/reward imbalance. Results: After adjustments, participants who reported low procedural justice at phase 1 were about 1.2 times more likely to be heavy drinkers at phase 2 compared with their counterparts with high justice. Low perceived justice in interpersonal treatment and low perceived total organisational justice were associated with an elevated prevalence of heavy drinking only in the socio-demographics adjusted model. Conclusions: This is the first longitudinal study to show that low procedural justice is weakly associated with an increased likelihood of heavy drinking.