2020
DOI: 10.1016/j.ehb.2020.100925
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Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models

Abstract: Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Founda… Show more

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Cited by 3 publications
(2 citation statements)
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“…Table 4 presents the results of the heterogeneity analysis splitting the data by gender aimed at discerning some potential mediating mechanisms. Panel A shows results for the full sample, whereas Panels B to H present the impacts induced by the T2DM diagnosis stratifying the sample by whether individuals lose weight following the diagnosis, as this is often one of the main lifestyle changes recommended by physicians according to the recent literature [ 6 , 8 , 69 ], by BMI categories (“healthy weight”: 18 < = BMI < 25; “overweight”: 25 < = BMI < 30; “obesity”: BMI > = 30) and also by age (> 60 years and < = 60 years-old). Columns (1)-(3) report RDD estimates for both genders, and for males and females, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…Table 4 presents the results of the heterogeneity analysis splitting the data by gender aimed at discerning some potential mediating mechanisms. Panel A shows results for the full sample, whereas Panels B to H present the impacts induced by the T2DM diagnosis stratifying the sample by whether individuals lose weight following the diagnosis, as this is often one of the main lifestyle changes recommended by physicians according to the recent literature [ 6 , 8 , 69 ], by BMI categories (“healthy weight”: 18 < = BMI < 25; “overweight”: 25 < = BMI < 30; “obesity”: BMI > = 30) and also by age (> 60 years and < = 60 years-old). Columns (1)-(3) report RDD estimates for both genders, and for males and females, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the broader correlational literature on the effects of a T2DM diagnosis on health-behaviours also appear to be generally inconclusive. For instance, Chong et al (2017) suggest a weak association between lifestyle changes and a T2DM diagnosis while Seuring et al (2020) find some contradicting results among women (decreased BMI but also increased hypertension and reduced physical activity). Relevant to this paper, in one of the very few correlational studies exploring long-term effects, Slade (2012) suggests that the association between a T2DM diagnosis and changes in health-behaviours tend to disappear over time with evidence of recidivism (weight gain and decreased physical exercise) two years after a diagnosis.…”
Section: Introductionmentioning
confidence: 98%