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Association between overweight, obesity and self-perceived job insecurity in German employees

  • Eva Muenster1,
  • Heiko Rueger1,
  • Elke Ochsmann2Email author,
  • Stephan Letzel1 and
  • André M Toschke3
BMC Public Health201111:162

DOI: 10.1186/1471-2458-11-162

Received: 2 August 2010

Accepted: 14 March 2011

Published: 14 March 2011

Abstract

Background

Recent studies have shown an association between job insecurity and morbidity as well as mortality, however until now, knowledge about a potential association between job insecurity and overweight or obesity has been lacking.

Methods

In order to identify a possible association between job insecurity and overweight or obesity, we analysed data from the German Socioeconomic Panel (GSOEP) 2004/2005, a longitudinal study of private households in Germany. In this representative cohort of the German adult population, living and working conditions were observed. Data on Body Mass Index (BMI) and self-perceived probability of job loss within the next 2 years were available for 10,747 adults either employed or attending training programs.

Results

We identified 5,216 (49%) individuals as being overweight (BMI > 25 kg/m2) and 1,358(13%) individuals as being obese (BMI > 30 kg/m2). A total of 5,941 (55%) participants reported having concerns regarding job insecurity. In the multivariate analysis - after adjustment for relevant confounders - a statistically significant association between obesity and job insecurity (100% probability for losing the job in the following two years) could be observed with an adjusted odds ratio of 2.55 (95% confidence interval: 1.09-5.96).

Conclusions

Because of these results, we were able to conclude that overweight and obese persons perceive job insecurity more often than their normal weight counterparts in Germany and that the concurrence of obesity and job insecurity might lead employees into a vicious cycle. Further research with an emphasis on the occupational setting might be necessary in order to establish useful preventive programmes at the workplace.

Background

Being overweight and obese is often the result of "over-nourishment" and "too little physical activity", with an increasing prevalence in industrialized countries [110]. Both these factors are associated with co-morbidities such as high blood pressure, cardiovascular disease, gall bladder disease, insulin resistance leading to a manifest type 2 diabetes mellitus, and also some types of cancer [1113].

Job insecurity is another risk factor that was reported to have negative health consequences such as mental disorders, high blood pressure and an increased vulnerability to infectious diseases [1425]. When both factors - obesity and job insecurity - are found in one person, they might interact and lead to more serious outcomes - therefore we tried to take a closer look at the possible association between overweight/obesity and job insecurity.

In general, job insecurity can be investigated in view of two approaches: firstly by estimating job insecurity attributed to external factors and secondly by estimating self-perceived job insecurity [15]. Although at first glance the external approach seems to be more objective, the employee's actual perception of a secure or insecure work place was reported to be more important and predictive for subsequent poor health conditions [1].

To our knowledge there are few studies in which the association between body composition and job insecurity was examined [24, 26, 27]. Two of these included men only [26, 27] and most studies examined weight development and changes in the Body Mass Index rather than focusing on how being overweight or obese could impact perceived job security.

The study presented here tries to close this gap of knowledge at least partially by proving the hypothesis that overweight or obese employees experience job insecurity more often and more intensely than their normal weight colleagues. This perceived job insecurity might induce a vicious cycle resulting in social, psychological, and health related problems which could have a negative impact on overweight or obese individuals' ability to perform adequately in their place of work.

Methods

Data sources and study population

In order to assess the association between overweight, obesity and perceived job insecurity we analyzed data from the German Socioeconomic Panel (GSOEP) 2004/2005. The GSOEP, which started in 1984, is an openly available longitudinal study of private households in Germany [28], and comprises a representative sample of the German general population older than 16 years [28, 29]. Annual follow-ups (waves) are conducted. The 2004 wave included a total of 22,109 individuals in 11,796 households, while in 2005 a total of 21,105 individuals in 11,440 households were included. When combing the 2004 and 2005 waves of the GSOEP, longitudinal data on 20,120 individuals, aged 17 to 99 years and included in both data sets, were available for analysis. Further and more detailed information on the methodology of the GSOEP has already been published elsewhere [30, 31].

Due to the usual age range of the working population in Germany (15-64 years) and due to the availability of information on weight, height and job insecurity the analysis conducted here was further confined to 10,747 apparently healthy employees and adults in training (17 to 64 years old). Data on weight and height as well as job related variables were gathered from the 2004 wave whereas self perceived job insecurity was exclusively documented in the 2005 wave.

Body Mass Index

Self-reported weight and height were used to calculate the Body Mass Index (BMI; [kg/m2]). Overweight and obesity were defined according to the World Health Organisation (WHO) with overweight being defined by a BMI between 25.0 kg/m2 and 29.9 kg/m2 and obesity being defined by a BMI of 30.0 kg/m2 or more [12].

Biometric and social variables

Age was divided into four categories and put as a dummy variable in order to allow for non-linear relations. Marital status was stratified into four categories, 'single', 'married/cohabitant', 'divorced' and 'widowed'. Information on education was categorised in four groups, and ranged from "grammar school (13 years)", "secondary school (10 years), "compulsory school (9 years) to "no schooling grade"

Job related variables

The assessment of job insecurity was based on objective and subjective variables. General information on occupational status was gathered in 2004 and included factors like the participant's current employment (y/n), whether he/she was employed in his/her trained job (y/n), a rating of the job market for similar posts and information on the sector of the current job (private or public sector).

Occupational classifications were assigned on the basis of the respondent's current or previous job title and their managerial/supervisory responsibility. The Erikson-Goldthorpe-Portocarero (EGP) class schema was used. It consists of 11 categories characterising labour market conditions in a non-hierarchical way [32]. The EGP classes were reported to differentiate between amount and pace of work possibly representing the decision latitude or work environment control according to Karasek [33].

In 2005 the specific items "job insecurity" and "occupational changes within the last 12 months" were obtained. These concerned objective information such as a current job searching status at a job centre (searching vs. not searching for new jobs), current occupational status, job changes after 2003 and sickness leaves in 2004 as well as subjective information like self rating questions on the employee's satisfaction with his post, on job guarantee for the next 2 years, upcoming job degradation and on adequate salary according to post.

Job insecurity was specifically queried by following question: "How likely is it that the following career changes will take place in your life within the next two years?...lose your job?" The respondents estimated the probability of such a change according to a scale from 0 to 100; while 0 means that such a change will definitely not take place and 100 means that such a change definitely will take place. A-priori categories "0%", 10-30%", "40-60%", "70-90%" and "100%" were generated.

Statistical analysis

Odds ratios for overweight/obesity and job insecurity were calculated with corresponding 95% confidence intervals based on a binomial distribution [34]. Multivariate analyses were performed using binary logistic models with categorical explanatory variables as dummy variables which are represented in Table 1 and Table 2. Additional age and sex-stratification of the data was performed. We used a backward selection to identify the final model estimating the adjusted odds ratios. The random error level was set to alpha = 0.05.
Table 1

Socio-demographic description of the study population (n = 10,747), stratified for overweight and obese people

  

total

overweighta

obesityb

  

N

N

%

N

%

Total

 

10747

5216

 

1358

 

Sex

female

4951

1790

36.2

556

11.2

 

male

5796

3426

59.1

802

13.8

 

p-value

 

< 0.001

< 0.001

Age

17-29 years

1803

473

26.2

107

5.9

 

30-39 years

2754

1236

44.9

292

10.6

 

40-49 years

3384

1773

52.4

474

14.0

 

50-64 years

2806

1734

61.8

485

17.3

 

p-value

 

< 0.001

< 0.001

marital status

married/cohabitant

6984

3808

54.5

1008

14.4

 

single

2733

881

32.2

211

7.7

 

divorced

893

437

48.9

109

12.2

 

widowed

137

90

65.7

30

21.9

 

p-value

 

< 0.001

< 0.001

nationality

German

9975

4794

48.1

1253

12.6

 

non-German

772

422

54.7

105

13.6

 

p-value

 

< 0.001

0.062

educational level

grammar school (13 years)

3265

1368

41.9

288

8.8

 

secondary school (10 years)

3768

1767

46.9

469

12.4

 

compulsory school (9 years)

2655

1557

58.6

466

17.6

 

no schooling grade

184

100

54.3

31

16.8

 

other

631

338

53.6

83

13.2

 

not specified

244

86

35.2

21

8.6

 

p-value

 

< 0.001

< 0.001

a Overweight is defined by a BMI between 25 kg/m2 and 29.9 kg/m2. b Obesity is defined by a BMI of 30 kg/m2 or more.

Table 2

Employment characteristics of overweight and obese persons

  

total

overweighta

obesityb

  

N

N

%

N

%

working hours

full-time

7647

4092

53.5

1031

13.5

 

part-time

1907

723

37.9

211

11.1

 

apprenticeship

466

120

25.8

29

6.2

 

minor employment

727

281

38.7

87

12.0

 

p-value

 

< 0.001

< 0.001

duration of employment contract

unlimited

7774

3893

50.1

1026

13.2

 

temporary

1223

446

36.5

102

8.3

 

self-employed

1750

877

50.1

230

13.1

 

p-value

 

< 0.001

< 0.001

occupational categories

upper grade of civil service

1335

671

50.3

133

10.0

 

lower grade of civil service

2464

1067

43.3

287

11.6

 

routine clerical/sales

1108

425

38.4

123

11.1

 

routine service-sales

1222

524

42.9

133

10.9

 

small employers

521

292

56.0

69

13.2

 

independent

518

241

46.5

66

12.7

 

skilled manual jobs

1699

959

56.4

226

13.3

 

semi-unskilled manual

1731

956

55.2

303

17.5

 

farm labour

149

81

54.4

18

12.1

 

p-value

 

< 0.001

< 0.001

a Overweight is defined by a BMI between 25 kg/m2 and 29.9 kg/m2.b Obesity is defined by a BMI of 30 kg/m2 or more.

All calculations were carried out with the statistical software package SPSS 13.0 (SPSS Inc., Chicago, IL, USA).

Results

Descriptive analysis

The data of 4,951 (46%) female and 5,796 (54%) male employees was analysed. It was found that 5,216 (49%) employees were overweight and 1,358 (13%) employees obese according to the WHO classification. A total of 5,941 (55%) participants experienced job insecurity to some extent (i. e. a fear of job loss in the following 24 months of more than 0%); 2,593 (24%) of them estimated the probability of losing their job within the next 24 months to be higher than 40%, which is regarded as high job insecurity.

Table 1 depicts the demographic characteristics of the participating overweight and obese employees. Major differences between normal and overweight/obese persons were found with regards to sex, age, marital status and educational level. For male subjects, older age, being married or widowed and lower educational level were significantly associated with a higher prevalence of overweight and obesity. Migration background (not having the German citizenship) was significantly associated with being overweight but not with being obese (Table 1).

Apart from that, significant associations between occupational variables and overweight or obesity became obvious. For example, full-time employees were more often overweight compared to part-time employees. Employees with temporary contracts showed a lower prevalence of being overweight and of obesity. Additionally, being overweight or obese seemed to be associated with the EGP classification of occupation (Table 2).

Multivariate analysis

While the unadjusted analyses showed no association between job insecurity and being overweight or obese (data not shown), adjustment for age, sex, marital status, nationality, education, occupational class, contract type (temporary vs. permanent) and other confounders in the multivariate model led to significant results in the association between obesity and high job insecurity (aOR: 2.55; 95% CI: 1.09-5.96) (Table 3). Also, the adjusted model hinted at a exposure-response relationship regarding self-rated job insecurity and overweight and obesity.
Table 3

Self-reported job insecurity and risk of overweight and obesity - adjusted end model

  

overweight

obesity

  

ORa

95% CIb

ORa

95% CIb

job insecurity

0%

1.00

 

1.00

 
 

10-30%

1.08

[0.97, 1.19]

1.44

[0.82, 2.51]

 

40-60%

1.11

[0.99, 1.25]

1.12

[0.59, 2.13]

 

70-90%

1.16

[0.94, 1.43]

1.86

[0.83, 4.16]

 

100%

1.47

[1.09, 1.99]

2.55

[1.09, 5.96]

a odds ratio (OR) and b 95%- Confidence interval (95% CI) from multiple unconditional logistic regression adjusted for sex, age-group, marital status, nationality, educational level, occupational categories, working hours, duration of employment contract

Due to the obviously relevant interaction between variables job insecurity and age, as well as sex, we additionally stratified the multivariate model of obesity by age and sex. Significant results are shown in Table 4. Job insecurity was directly related to obesity in employees younger than 30 years. Also, an influence of self perceived job insecurity of 70% and more on the prevalence of obesity was found amongst men and women older than 50 years (Table 4).
Table 4

Self-reported job insecurity and risk of obesity - total and stratified analysis for age and sex, results of significant associations in the adjusted end model

  

< 30 years, both sexes

> 50 years, female

> 50 years, male

  

ORa

95% CIb

ORa

95% CIb

ORa

95% CIb

job insecurity

0%

      
 

10-30%

1.55

[0.88, 2.73]

0.81

[0.51, 1.30]

1.35

[0.92, 1.98]

 

40-60%

1.29

[0.67, 2.48]

0.70

[0.40, 1.20]

0.84

[0.51, 1.38]

 

70-90%

1.93

[0.85, 4.38]

1.29

[0.52, 3.20]

2.94

[1.22, 7.10]

 

100%

2.96

[1.25, 7.00]

1.73

[0.49, 6.17]

13.84

[1.69, 113.44]

a odds ratio (OR) and b 95%- Confidence interval (95% CI) from multiple unconditional logistic regression adjusted for marital status, nationality, educational level, occupational categories, working hours, duration of employment contract

Discussion

After adjustment for relevant socioeconomic confounders, a direct association between overweight and obesity and self-perceived job insecurity could be observed with a focus on employees younger than 30 years or older than 50 years. This outcome is of relevance for activities in occupational and public health, since it supports the possibility of a link between overweight/obesity and the prevalence of self-experienced job insecurity. This link might explain the current development of a rapid rise in both entities [6] on a psychosocial basis. It also stresses the importance of employers getting involved in the struggle against the obesity epidemic [35, 36].

To our knowledge this is the first study examining this association as such, though other studies were already conducted to explore an association between job insecurity or job strain and weight or BMI-changes [20, 22, 24, 26, 37]. These studies reported work sector dependent results. While, for example the manual workers of the Michigan Study [38] showed no alterations of their BMI shortly before the factory shut-down, the civil servants of the Whitehall-II-Study [22, 24] had a higher BMI shortly before privatisation. Apart from that, in the Whitehall-II-Study as well as in our analyses being female was inversely related to obesity. These findings suggest a gender- and occupation-specific effect of job insecurity on BMI, and consequently on overweight and obesity.

Job insecurity is a major determinant of a psychological "burden", and probably similar to that perceived from job strain. Job strain was reported to be associated with obesity in previous cross-sectional studies [3941], two of which reported an association between job strain and central obesity in two male cohorts [40, 41], while no association could be observed in females or in the general study population.

Our findings should be discussed, keeping in mind the results of the other studies which suggested a cause-effect relationship between job strain and chronic diseases involving weight gain and/or increased (central) obesity [37, 42, 43]. In order to differentiate more accurately between job strain caused by the job itself and job strain caused by economic circumstances (which might in turn increase the perception of job insecurity), a more detailed analysis of job strain and/or self-perceived job insecurity is needed in future studies in order to enable the development of more focussed public health activities and occupational preventive measures. The consideration of self-perceived probability of job loss is of major importance at any rate, because it might be the more potent stressor compared to general job strain [18].

Job insecurity could be a major source of stress and, apart from being a stressor in itself, it might also affect job satisfaction as well as, in the long term, salary, future plans and future quality of life. It might lead an employee into some sort of vicious cycle. In the beginning, self-perceived job insecurity can have direct effects on motivation and on quality of work [44]. Low quality of work and low motivation might decrease work efficiency and this might lead to a change in the employer's behaviour towards his employee, resulting in an increase in the self-perceived job insecurity of the employee. Being overweight or obese might lead into this vicious cycle. On the one hand, job insecurity might alter the eating behaviour, so that employees might become obese. Poor stress management based on the strain of real or perceived job insecurity is another factor which can contribute to non-health-conscious behaviour such as „increased food intake leading to obesity"[45]. In the event of job insecurity, eating can become a compensation and gratification. Obese employees, on the other hand, might have a higher likelihood of being released due to the social stigma of being overweight or obese or due to the well-known increased risk of co-morbidities, such as high blood pressure and cardiovascular disease and the resulting increased time of absence from the work place [46, 47]. Therefore obesity might have an additive effect on the perception of job insecurity.

But apart from these associations, job insecurity might also influence an employee's social network [48, 49]. This result might have further impact on the development of obesity which is often found to be associated with certain family and/or social patterns.

Although we are reporting data from a longitudinal cohort study, the BMI data and job insecurity data were obtained nearly at the same time (1 year difference from 2004 and 2005). In general, we cannot rule out reverse causality between BMI status and job insecurity, but the latter measured in 2005 cannot be the cause for the former measured one year before. However, both directions of the association have implications for overweight and obese persons, either with job insecurity as an additional cause or as an additional condition triggering other co-morbidities.

Height and weight were self-reported and could have been biased in order to give socially acceptable answers. This might result in reporting bias. A potential non-differential misclassification cannot be ruled out and might have attenuated the association between job insecurity and overweight or obesity. A differential misclassification might result in different prevalence rates for being overweight or obese. However, this is similar to a change of the cut-off values for overweight or obesity and it has been shown that a change in cut-off values still allows the assessment of relationships [50]

The information on job insecurity was self rated and might differ from objective measures such as dismissals or appraisals. A potential reporting bias might mirror a pessimistic approach to life and hence accentuate negative feelings about situations [51]. However, subjective measures are more likely to reflect the individual's psychological situation, which is of major importance for related co-morbidities as compared to objective variables which might not reflect the self perception. This might also be the reason for negative findings in studies examining objective measures of job insecurity and weight tracking [38].

Conclusions

The association between job insecurity and being overweight as well as being obese was moderate, although our data suggest a high public health impact due to the high prevalence of job insecurity and the emerging obesity epidemic. Because of the significant risks to the population even moderate associations can be of a high public health impact when coinciding with high prevalence rates of exposure. Job insecurity might represent an important psychological burden which again might trigger obesity and other diseases. Our results highlight the need of an occupational risk assessment which includes triggers for psychological stress in general but which can also especially focus on self-perceived job insecurity. As employees spend a large amount of their lifetime on their job and as a safe job is important for making a living, the fear of losing one's job might be an especially potent stressor. Additionally, we concluded that when speaking of the risks of being overweight and obese, not only the individuals' nutritional habits or their level of physical activity should be included, but also occupational status and occupational situation. It seems to be necessary that stress factors like job insecurity should be included in prevention strategies for overweight and obese employees; furthermore, the social stigmatisation of being overweight and obese has to be combated.

Declarations

Acknowledgements

The data of the German Socio-Economic Panel (GSOEP) used in this publication were provided by the Deutsches Institut für Wirtschaftsforschung (DIW), Berlin. We would like to thank Kathy Bischof and Miriam Mindt for their language support.

Authors’ Affiliations

(1)
Institute of Occupational, Social and Environmental Medicine, University Medical Center of the University of Mainz
(2)
Institute of Occupational and Social Medicine, University of Aachen, Medical Faculty, RWTH Aachen University
(3)
Department of Medical Informatics, Biometry and Epidemiology, University of Munich

References

  1. WHO. World Health Organization: Obesity: Preventing and managing the Global Epidemic - Report of a WHO Consultation on Obesity. World Health Organization (editor) WHO/NUT/NCD/981. Geneve. 1997Google Scholar
  2. Cameron AJ, Welborn TA, Zimmet PZ, Dunstan DW, Owen N, Salmon J, et al: Overweight and obesity in Australia: the 1999-2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Med J Aust. 2003, 178: 427-432.PubMedGoogle Scholar
  3. Ford ES, Mokdad AH, Giles WH: Trends in waist circumference among U.S. adults. Obes Res. 2003, 11: 1223-1231. 10.1038/oby.2003.168.View ArticlePubMedGoogle Scholar
  4. Koletzko B, Girardet JP, Klish W, Tabacco O: Obesity in children and adolescents worldwide: current views and future directions--Working Group Report of the First World Congress of Pediatric Gastroenterology, Hepatology, and Nutrition. J Pediatr Gastroenterol Nutr. 2002, 35 (Suppl 2): S205-S212. 10.1097/00005176-200208002-00019.View ArticlePubMedGoogle Scholar
  5. Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM: Prevalence of overweight and obesity in the United States, 1999-2004. JAMA. 2006, 295: 1549-1555. 10.1001/jama.295.13.1549.View ArticlePubMedGoogle Scholar
  6. Ogden CL, Flegal KM, Carroll MD, Johnson CL: Prevalence and trends in overweight among US children and adolescents, 1999-2000. JAMA. 2002, 288: 1728-1732. 10.1001/jama.288.14.1728.View ArticlePubMedGoogle Scholar
  7. Toschke AM, Ludde R, Eisele R, von Kries R: The obesity epidemic in young men is not confined to low social classes--a time series of 18-year-old German men at medical examination for military service with different educational attainment. Int J Obes (Lond). 2005, 29: 875-857. 10.1038/sj.ijo.0802989.View ArticleGoogle Scholar
  8. Lahti-Koski M, Pietinen P, Heliovaara M, Vartiainen E: Associations of body mass index and obesity with physical activity, food choices, alcohol intake, and smoking in the 1982-1997 FINRISK Studies. Am J Clin Nutr. 2002, 75: 809-817.PubMedGoogle Scholar
  9. Jeffery RW, French SA: Epidemic obesity in the United States: are fast foods and television viewing contributing?. Am J Public Health. 1998, 88: 277-280. 10.2105/AJPH.88.2.277.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Jebb SA, Moore MS: Contribution of a sedentary lifestyle and inactivity to the etiology of overweight and obesity: current evidence and research issues. Med Sci Sports Exerc. 1999, 31: S534-41. 10.1097/00005768-199911001-00008.View ArticlePubMedGoogle Scholar
  11. WHO (World Health Organization): The World Health Report 2002: reducing risks, promoting healthy life. 2002, [http://www.who.int/whr/2002/en]Google Scholar
  12. WHO (World Health Organization): Diet, nutrition, and the prevention of chronic disease - Report of a joint WHO/FAO expert consultation. 2003, WHO technical report seriesGoogle Scholar
  13. Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, et al: Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. Lancet. 2005, 366: 1640-1649. 10.1016/S0140-6736(05)67663-5.View ArticlePubMedGoogle Scholar
  14. Amick BC, Kawachi I, Coakley EH, Lerner D, Levine S, Colditz GA: Relationship of job strain and iso-strain to health status in a cohort of women in the United States. Scand J Work Environ Health. 1998, 24: 54-61.View ArticlePubMedGoogle Scholar
  15. Catalano R, Rook K, Dooley D: Labor markets and help-seeking: a test of the employment security hypothesis. J Health Soc Behav. 1986, 27: 277-287. 10.2307/2136747.View ArticlePubMedGoogle Scholar
  16. Domenighetti G, D'Avanzo B, Bisig B: Health effects of job insecurity among employees in the Swiss general population. Int J Health Serv. 2000, 30: 477-490. 10.2190/B1KM-VGN7-50GF-8XJ4.View ArticlePubMedGoogle Scholar
  17. Ferrie JE: Health consequences of job insecurity. WHO Reg Publ Eur Ser. 1999, 81: 59-99.PubMedGoogle Scholar
  18. Ferrie JE: Is job insecurity harmful to health?. J R Soc Med. 2001, 94: 71-76.PubMedPubMed CentralGoogle Scholar
  19. Ferrie JE, Shipley MJ, Marmot MG, Martikainen P, Stansfeld SA, Smith GD: Job insecurity in white-collar workers: toward an explanation of associations with health. J Occup Health Psychol. 2001, 6: 26-42. 10.1037/1076-8998.6.1.26.View ArticlePubMedGoogle Scholar
  20. Ferrie JE, Shipley MJ, Marmot MG, Stansfeld S, Davey Smith G: The health effects of major organisational change and job insecurity. Soc Sci Med. 1998, 46: 243-254. 10.1016/S0277-9536(97)00158-5.View ArticlePubMedGoogle Scholar
  21. Ferrie JE, Shipley MJ, Marmot MG, Stansfeld S, Smith GD: Health effects of anticipation of job change and non-employment: longitudinal data from the Whitehall II study. BMJ. 1995, 311: 1264-1269.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Ferrie JE, Shipley MJ, Marmot MG, Stansfeld SA, Smith GD: An uncertain future: the health effects of threats to employment security in white-collar men and women. Am J Public Health. 1998, 88: 1030-1036. 10.2105/AJPH.88.7.1030.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Ferrie JE, Shipley MJ, Newman K, Stansfeld SA, Marmot M: Self-reported job insecurity and health in the Whitehall II study: potential explanations of the relationship. Soc Sci Med. 2005, 60: 1593-1602. 10.1016/j.socscimed.2004.08.006.View ArticlePubMedGoogle Scholar
  24. Ferrie JE, Shipley MJ, Stansfeld SA, Marmot MG: Effects of chronic job insecurity and change in job security on self reported health, minor psychiatric morbidity, physiological measures, and health related behaviours in British civil servants: the Whitehall II study. J Epidemiol Community Health. 2002, 56: 450-454. 10.1136/jech.56.6.450.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Ferrie JE, Shipley MJ, Stansfeld SA, Smith GD, Marmot M: Future uncertainty and socioeconomic inequalities in health: the Whitehall II study. Soc Sci Med. 2003, 57: 637-646. 10.1016/S0277-9536(02)00406-9.View ArticlePubMedGoogle Scholar
  26. Hannerz H, Albertsen K, Nielsen ML, Tuchsen F, Burr H: Occupational factors and 5-year weight change among men in a danish national cohort. Health Psychol. 2004, 23: 283-288. 10.1037/0278-6133.23.3.283.View ArticlePubMedGoogle Scholar
  27. Kasl SV, Cobb S: The experience of losing a job: some effects on cardiovascular functioning. Psychother Psychosom. 1980, 34: 88-109. 10.1159/000287452.View ArticlePubMedGoogle Scholar
  28. SOEP-Group: The German Socio-Economic Panel (GSOEP) after more than 15 years - overview. Fourth International Conference of German Sociao-Economic Panel Study Users (GSOEP 2000). Edited by: Holst EL, DiPrete A. 2000, Berlin: Duncker & Humbolt, 7-14.Google Scholar
  29. Rendtel U: Über die Repräsentativität von Panelstichproben. Eine Anlayse der feldbedingten Ausfälle im sozio-ökonomischen Panel. 1993, Deutsches Institut für Wirtschaftsforschung. BerlinGoogle Scholar
  30. Burkhauser RVB, Dalz MC, Lillard D: The PSID-GSOEP equivalent file: a product of cross-sectional research. 2000, Ithaka, New York: Cornell UniversityGoogle Scholar
  31. Wagner GB, Behringer F: The English Language Public Use File of the German Socio-Economic Panel. Journal of Human Resources. 1993, 28: 429-434.Google Scholar
  32. Erikson E: The constant flux. 1992, Oxford Clarendon PressGoogle Scholar
  33. Karasek RA, Theorell T, Schwartz JE, Schnall PL, Pieper CF, Michela JL: Job characteristics in relation to the prevalence of myocardial infarction in the US Health Examination Survey (HES) and the Health and Nutrition Examination Survey (HANES). Am J Public Health. 1988, 78: 910-918. 10.2105/AJPH.78.8.910.View ArticlePubMedPubMed CentralGoogle Scholar
  34. Clopper CJPES: The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrica. 1934, 26: 404-413. 10.1093/biomet/26.4.404.View ArticleGoogle Scholar
  35. Kivimaki M, Ferrie JE, Brunner E, Head J, Shipley MJ, Vahtera J, et al: Justice at work and reduced risk of coronary heart disease among employees: the Whitehall II Study. Arch Intern Med. 2005, 165: 2245-2251. 10.1001/archinte.165.19.2245.View ArticlePubMedGoogle Scholar
  36. Kivimaki M, Head J, Ferrie JE, Shipley MJ, Brunner E, Vahtera J, et al: Work stress, weight gain and weight loss: evidence for bidirectional effects of job strain on body mass index in the Whitehall II study. Int J Obes (Lond). 2006, 30: 982-987. 10.1038/sj.ijo.0803229.View ArticleGoogle Scholar
  37. Brunner EJ, Chandola T, Marmot MG: Prospective effect of job strain on general and central obesity in the Whitehall II Study. Am J Epidemiol. 2007, 165: 828-837. 10.1093/aje/kwk058.View ArticlePubMedGoogle Scholar
  38. Cobb SK: The consequences of job loss. 1977, DHEW-NIOSH (National Institutes for Occupational Safety and Health). CincinnatiGoogle Scholar
  39. Georges E, Mueller WH, Wear ML: Body fat distribution in men and women of the Hispanic health and nutrition examination survey of the United States: associations with behavioural variables. Ann Hum Biol. 1993, 20: 275-291. 10.1080/03014469300002692.View ArticlePubMedGoogle Scholar
  40. Jonsson D, Rosengren A, Dotevall A, Lappas G, Wilhelmsen L: Job control, job demands and social support at work in relation to cardiovascular risk factors in MONICA 1995, Goteborg. J Cardiovasc Risk. 1999, 6: 379-385.View ArticlePubMedGoogle Scholar
  41. Overgaard D, Gamborg M, Gyntelberg F, Heitmann BL: Psychological workload and weight gain among women with and without familial obesity. Obesity (Silver Spring). 2006, 14: 458-463. 10.1038/oby.2006.60.View ArticleGoogle Scholar
  42. Bjorntorp P: Visceral fat accumulation: the missing link between psychosocial factors and cardiovascular disease?. J Intern Med. 1991, 230: 195-201. 10.1111/j.1365-2796.1991.tb00431.x.View ArticlePubMedGoogle Scholar
  43. Lallukka T, Lahelma E, Rahkonen O, Roos E, Laaksonen E, Martikainen P, et al: Associations of job strain and working overtime with adverse health behaviors and obesity: evidence from the Whitehall II Study, Helsinki Health Study, and the Japanese Civil Servants Study. Soc Sci Med. 2008, 66: 1681-1698. 10.1016/j.socscimed.2007.12.027.View ArticlePubMedGoogle Scholar
  44. Kuhnert KWPDR: Job security, health and the intrinsic and extrinsic characteristics of work. Group Organizational Studies. 1991, 16: 178-192. 10.1177/105960119101600205.View ArticleGoogle Scholar
  45. Nelson MC, Lust K, Story M, Ehlinger E: Credit card debt, stress and key health risk behaviors among college students. Am J Health Promot. 2008, 22: 400-7. 10.4278/ajhp.22.6.400.View ArticlePubMedGoogle Scholar
  46. Arena VC, Padiyar KR, Burton WN, Schwerha JJ: The impact of body mass index on short-term disability in the workplace. J Occup Environ Med. 2006, 48: 1118-1124. 10.1097/01.jom.0000241050.26059.2b.View ArticlePubMedGoogle Scholar
  47. Pronk NP, Martinson B, Kessler RC, Beck AL, Simon GE, Wang P: The association between work performance and physical activity, cardiorespiratory fitness, and obesity. J Occup Environ Med. 2004, 46: 19-25. 10.1097/01.jom.0000105910.69449.b7.View ArticlePubMedGoogle Scholar
  48. Howe GW, Levy ML, Caplan RD: Job loss and depressive symptoms in couples: common stressors, stress transmission, or relationship disruption?. J Fam Psychol. 2004, 18: 639-650. 10.1037/0893-3200.18.4.639.View ArticlePubMedGoogle Scholar
  49. Vinokur AD, Price RH, Caplan RD: Hard times and hurtful partners: how financial strain affects depression and relationship satisfaction of unemployed persons and their spouses. J Pers Soc Psychol. 1996, 71: 166-179. 10.1037/0022-3514.71.1.166.View ArticlePubMedGoogle Scholar
  50. Toschke AM, Kurth BM, von Kries R: The choice of cutoffs for obesity and the effect of those values on risk factor estimation. Am J Clin Nutr. 2008, 87: 292-294.PubMedGoogle Scholar
  51. Watson D, Clark LA: Negative affectivity: the disposition to experience aversive emotional states. Psychol Bull. 1984, 96: 465-490. 10.1037/0033-2909.96.3.465.View ArticlePubMedGoogle Scholar
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