Geschlechtsspezifische Differenzierung von BGF-Konzepten

Köper, Birgit; Siefer, Anke; Beermann, Beate

doi:10.1007/978-3-642-12898-1_22

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…The proportion of women or military servants did not explain individuals´participation. Therefore, it seems like not the employee structure but the number of employees determines participation at health measures, which is in line with previous findings [15,21] . One explanation might be higher social pressure in small units.…”

Section: Discussionsupporting

confidence: 90%

“…For workplace intervention the reach is usually below 50% [9,10] and influenced by individual as well as business characteristics. For example, previous research revealed an overall higher participation rate for women [10][11][12][13][14], higher educated staff [10], employees with high job satisfaction [15] and an increase in participation and compliance with increasing age [12,[15][16][17]. Concerning the health status no consistent relation is reported.…”

Section: Introductionmentioning

confidence: 96%

“…However, persons who generally show a healthoriented behavior are more likely to attend [11,12,20]. On the macro level participation is influenced by the number of employees in a company whereby a decrease in participation rates with increasing personnel can be observed [15,21]. Also aspects of the organizational structure like flexible working hours [13,19,22] or the social climate respectively the extent of social support [4] within an organization already proved to affect individual's health behavior and thus participation at health measures.…”

Section: Introductionmentioning

confidence: 99%

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Do working characteristics influence the participation at health measures? Findings from a trial phase of workplace health promotion

Reinhardt

Adams

Schöne

et al. 2020

J Occup Med Toxicol

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Background: Health behavior is presumed to be influenced by organizational factors. This study analyzes how workplace characteristics influence health behavior in terms of participation at health measures. Methods: Employees of the German Federal Ministry of Defense were surveyed at the beginning (January / February 2015) and at the end (June 2015) of the trial phase of workplace health promotion (WHP). Differences in participation of characteristic groups were calculated using Pearson's Chi 2-Test and T-Test, chances of participation were estimated using multilevel logistic regression. Results: Employees who reported higher satisfaction with work demand participated more often in health measures (aOR: 1.02, 95%-CI = 1.01, 1.04, p < 0.001). Large amount of variance in participation can be attributed to department level. Conclusion: Participation at WHP varies significantly between settings after controlling for individuals' characteristics. Thus, working characteristics should be considered as a decisive factor for WHP effectiveness. There is consensus that behavioral prevention is most effective when conditional prevention is granted as behavior is presumed to be influenced by individuals´environmental conditions. Though objective working conditions may seem similar further context characteristics which remain unconsidered may lead to different behavior patterns. This article shows that more attention must be payed to setting specific characteristics with regard to effective Occupational Health Promotion. This project is registered by the Federal Ministry of Defense (research number: E/U2AD/ED003/EF555).

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Do working characteristics influence the participation at health measures? Findings from a trial phase of workplace health promotion

Reinhardt

Adams

Schöne

et al. 2020

J Occup Med Toxicol

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“…The selection of variables included in the analyses was based on the results of existing research on factors associated with utilization, particularly studies examining offers for workplace health pro-motion and prevention, as well as the promotion of back health in the workplace, with the main focus on research results for Germany (1,(33)(34)(35)(36). A number of relevant factors were identified: demographic characteristics (gender and age), socioeconomic status (SES), physical/sporting activity in leisure time and for locomotion, health awareness and subjective complaints in the lower back or other chronic back problems in the last 12 months.…”

Section: Predictor Variablesmentioning

confidence: 99%

Factors in the Use of Workplace Health Promotion on Back Health. Results of the Survey “German Health Update”

Hermann

Starker

Geene

et al. 2021

Front. Public Health

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Background: The influence of the working environment on the back health of employees is well-documented. Many companies have begun to offer employees access to services to promote back health. Factors affecting the use of these offers at the population level have received little investigation to date. The current study examined the socio-demographic factors, physical activity and health-related factors, and work-related factors associated with the use of offers of workplace health promotion for back health in Germany.Materials and Methods: In the representative population-based cross-sectional survey “German Health Update” (GEDA 2014/2015-EHIS) conducted by the Robert Koch Institute, 12,072 employees aged 18–64 years old were surveyed from November 2014 to July 2015 regarding the use of back health services in their companies. In addition to socio-demographic factors, the survey examined working hours, physical activity in leisure time, health awareness, and subjective complaints in the lower back or other chronic back problems in the last 12 months. The interaction of these factors with the utilization of back health services was tested using multiple logistic regression models.Results: Women used back health services more often than men (women: 25.5%; men: 18.1%). Female gender was associated with part-time employment (OR 0.72) and a strong to very strong level of health awareness (OR 1.40). Male gender was associated with age between 30 and 44 years (OR 1.99) and 45–64 years (OR 2.02), low socioeconomic status (OR 0.48), endurance activity of <2.5 h per week (OR 0.62), and absence of lower back pain or other chronic back conditions for the last 12 months (OR 0.48).Conclusion: The present study is the first to provide findings regarding the factors associated with the utilization of workplace health promotion to promote back health at the population level, and from the perspective of employees in Germany. The results revealed that the relevant factors for participating in offers differ for women and men. To reach more employees, workplace health promotion offers for back health should be designed specifically for each individual, considering gender and age, working hours, health awareness and behavior, and health state.

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“…Gemessen an der national und international geringen Datenbasis, stellt die männerspezifische Gesundheitsförderung eine Herausforderung dar und bedarf vermehrter Forschungsanstrengungen [2,[16][17][18]. Zur Erhöhung der Männergesundheit sehen Körper, Siefer und Beermann (2010) "wesentliche Defizite der Gesundheitsförderung […] in der fehlenden systematischen Bedarfs-und Zielgruppenanalyse für Gesundheitsförderungsprogramme" [19].…”

Section: Introductionunclassified

Teilnahmemotivation von Männern an bewegungsorientierten Präventionsangeboten

et al. 2017

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The rate of men participating in health promotion programs is lower than that of women. The reasons and barriers for the different motivation of men as well as wishes and perception for prevention are not yet sufficiently analyzed. This quantitative survey examines motives and barriers of men for participation in primary prevention. Thus, the sample was subdivided into 2 groups, namely motivated vs. non-motivated regarding being active for health promotion. Differences between the 2 groups concerning current health status, health beliefs and health behavior were analyzed to plan more suitable programs in the future. A sample of N=243 men (motivated n=147, non-motivated n=96) participated in the standardized online-survey. The quantitative data analysis integrated the BMZI, KKG, SF-12, TICS and the MGV-39. The examination of the differences between the sub-groups was done with Chi²-Tests and analysis of variance (one-way ANOVA) with IBM SPSS 22 (Armonk, NY: IBM Corp). The group of motivated men reported worse health status, especially in psychological well being compared to the non-motivated group (SF-12: F=6.3, p=0.013, eta²=0.025). Both groups named refusal to use harmful substances (e.g. drugs, alcohol), good nutrition and active life-style as important factors for health. Non-motivated men showed a higher score for the fatalistic externality of health (KKG: F=7.609, p=0.006, eta²=0.031) and rated health promotion as paternalism (Chi²=17.693, p≤0.001, C=0.261). The men of this study who were motivated to join health promotion programs had a worse health status that might explain their compliance. For the non-motivated men, there was a discrepancy between their own beliefs in health behavior and their real daily activities (e.g. physical activity). In order to reach this target group of men before their health status worsens, prevention programs should integrate incentive systems that integrate features for overcoming dysfunctional daily behavior.

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Geschlechtsspezifische Differenzierung von BGF-Konzepten

Cited by 5 publications

References 5 publications

Do working characteristics influence the participation at health measures? Findings from a trial phase of workplace health promotion

Do working characteristics influence the participation at health measures? Findings from a trial phase of workplace health promotion

Factors in the Use of Workplace Health Promotion on Back Health. Results of the Survey “German Health Update”

Teilnahmemotivation von Männern an bewegungsorientierten Präventionsangeboten

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