Introduction
The paper focuses on the
meta-analysis on the relationship of the straining in jobs and the obesity. The
obesity or over weight is measured with the help of the job strain. There are
various factors, which influence the job strain that relates to the risk of the
obesity. The paper considered the review of the article titled “Job strain and risk of obesity: systematic
review and meta-analysis of cohort studies.” According to this paper, the
job strain influences the intense of the risk of obesity. As per the paper, the
risk factors such as coronary heart disease, type 2 diabetes, and stroke are
occurring due to the risk of obesity.
The topic is appropriate and
relates the job strain to the risk in over weights or obesity. The job strain
and risk of obesity are related to each other. By adopting the topic, the straining
in jobs and the over weights or obesity are analyzed in the research using
certain standards.
Steps
The data sources and searches are
very important for the analysis. The steps involved in the meta-analysis are
given as follows:
Data sources and searches
Inclusion criteria
Synthesis of data
Statistical Analysis
Data Sources and Searches
The paper adopted the standards
of PRISMA guidelines. The literature search consists of “all fields” sourced
from the online sources such as Embase and PubMed. The search terms involved in
the research are stress, job strain, demands, control, workload, psychosocial,
body mass index (Hebden L, et.al, 2012).
Criteria Included
Exposures at individual levels
Data at the outcome or results
Impacts of strain
Outcome: Weight gain or Obesity
Outcome: Weight gain or Obesity
These criteria are considered in
the research and the research provides more focus on the theoretical models.
The statistical inferences are interpreted through the odds ratios, estimates
in risks and hazard ratios at the confidence levels of 95% (Johansson K, et.al,
2014).
Synthesis of Data
The meta-analysis was conducted
for the study that helps to provide results with odd ratios. The model
synthesized with the age, sex, socioeconomic status as covariates. The model
considers these associations of job strains, obesity, and adjustments with the
variables such as sex, age, and socioeconomic status. The study leads to the
associations in the increase and decrease in job strain with the changes in obesity
or over weights (M Kivimäki, et.al, 2015).
Meta-analysis was conducted to
analyse the studies for the estimates. The relationship between the job strain
and obesity are analysed individually. The study was conducted with the
consideration of the published.
The study considered the 3579
results with the appropriate studies of five papers with the included criteria.
Eight independent studies are sourced from the five papers that are added in
the meta-analysis.
The results clearly denote the
lack of interrelationship between the job straining and overweight or obesity.
The increased strains in job related to increase in the risk of obesity and the
decrease in job strain is not linked to decrease in the risk of obesity. The
longitudinal findings in the results provided inconsistency with the
relationship of the strains in the job and obesity risks (Nyberg ST, et.al ,
2012).
Studies
Eight studies are utilized in the
five papers for the meta-analysis in the research about the relationship of the
factors associated to the job strain and obesity risks.
N
N is the total samples who are
involved in the research study for the analysis of the relationship of job
strain with that of the obesity. As per the research, total N is 42,222.
Test Statistic Calculation
As per the paper, the statistic
calculation is based on the fixed effect analysis using l2 statistics.
Significance of results
The results provided the odds
ratio as 1.00 with little heterogeneity and other case did not show the
relationship between the job strain and weights. The increase in job strain has
associated to the increase in weights and obesity.
Moderators
No moderators involved in the
research as the factors associated show the inconsistency in the relationship.
The moderators in the research not involved.
Artefact corrections:
The study shows artefacts and inconsistency in the research. The artefacts included in the research can be corrected in terms by the determination of the specific potential differences in response characteristics during straining and observation of the unhealthy eating with stress that may result to the increased obesity. However, there requires new factors for the research.Implications of the results:
The results from the overall
analysis lead to the fact that there is no relationship between the straining
in jobs and the obesity as the inconsistencies are present in the study.
Interpretation of results in an organizational setting
The results in the organizational
setting are provided the results that have no association between the strain in
works and over weights. The interpretation is clear which specifies there is no
linkage between the work strain and over weights or obesity. However, results
provide that the increase in job strain and increase in obesity are included. Within
the organizational setting, the job strain and obesity can be measured. Apart
from these, the other factors are also included with the analysis. The study is
suitable to measure in organizational settings.
References
Hebden
L, Chey T, Allman-Farinelli M. Lifestyle intervention for preventing weight gain
in young adults: a systematic review and meta-analysis of RCTs. Obesity Rev 2012;
13: 692–710.
Johansson
K, Neovius M, Hemmingsson E. Effects of anti-obesity drugs, diet, and exercise
on weight-loss maintenance after a very-low-calorie diet or low-calorie diet: a
systematic review and meta-analysis of randomized controlled trials. Am J Clin
Nutr 2014; 99: 14–23
M
Kivimäki, A Singh-Manoux, S Nyberg, M Jokela and M Virtanen. Job strain and
risk of obesity: systematic review and meta-analysis of cohort studies,
International Journal of Obesity, 2015,
vol. 39, p:1597–1600
Nyberg
ST, Heikkila K, Fransson EI, Alfredsson L, De Bacquer D, Bjorner JB Job strain
in relation to body mass index: pooled analysis of 160 000 adults from 13 cohort
studies. J Intern Med 2012; 272: 65–73.