Age and gender differential relationship between employment status and body mass index among middle-aged and elderly adults: a cross-sectional study

Noh, Jin‐Won; Kim, Jinseok; Park, Jumin; Oh, In‐Hwan; Kwon, Young Dae

doi:10.1136/bmjopen-2016-012117

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…In comparison, a large scale general population evidence reported that employment status showed varying impacts on obesity by age and gender. Both unemployment at or after 60, as well as unemployment among women, were associated with increased BMI compared with unemployment among younger individuals or men, respectively[25]. Those results are aligned in general with our finding.…”

supporting

confidence: 91%

Predictors of Obesity among Adults Who Have Diabetes Mellitus Type Two

Jarrad¹,

Saleh²,

Mahmoud³

2018

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Background and Purpose: Obesity and Diabetes Mellitus type two (DMII) have a known association. Yet, the socio-demographic predictors of obesity in special populations such as people who have DMII remain unclear. The purpose of this study was to determine the socio-demographic predictors of obesity among adults who have DMII. Materials and Methods: This was a descriptive cross-sectional study targeting 488 adult clients who had the diagnosis of DMII. The participants were asked to complete a survey covering demographic and clinical variables of age, gender, employment, income, education, weight, height, medical insurance, duration of diabetes and type of treatment taken to control diabetes. Besides, Body Mass Index (BMI), the dependent variable, was calculated. Descriptive statistics were used to present clients' socio-demographic and clinical characteristics. Univariate Binary logistic regression was used to determine the socio-demographic predictors of obesity. Results: Results showed that age, household income and employment were independent predictors of BMI in adults who have DMII. Gender and level of education were not significant predictors of higher BMI. Conclusion: Those results suggest that understanding of the contributing variables of obesity in adults who have DMII can help identify the at-risk groups allowing for early diagnosis and establishment of effective prevention and management plans.

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supporting

confidence: 91%

Predictors of Obesity among Adults Who Have Diabetes Mellitus Type Two

Jarrad¹,

Saleh²,

Mahmoud³

2018

OJN

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“…Zdrojowy-Wełna et al [33] found that unemployment was a determinant of obesity for females, whereas, Noh et al [34] pointed out that unemployment at age 60 or older, as well as women's unemployment, is associated with an increase in BMI compared to the unemployment of young people or men, respectively. Likewise, in a study developed to understand the epidemic situation of overweight and obesity among couples in planned pregnancy in the city of Chongqing (China), Liu et al [35] identified that unemployment was more prone to overweight.…”

Section: Introductionmentioning

confidence: 99%

How Are Unemployed Individuals with Obesity Affected by an Economic Crisis?

et al. 2020

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Objective: The purpose of this study was to measure the extent to which the advent of an economic crisis affects the magnitude of the impact of unemployment on obesity prevalence (IUOP). Methods: Using data corresponding to a boom period and a bust period of the Spanish economy, we calculated the IUOP in the Spanish population aged 16-65 years using propensity score matching, and using the difference-in-differences approach, analyzed to what extent the advent of an economic crisis affected the magnitude of such an IUOP. Results: The results point to significant differences in the body mass index (BMI) values of Spanish unemployed individuals depending on the phase of the economic cycle. Compared to a period of economic boom, a bust period increases the (log) BMI values of unemployed people by 0.22% and the (log) BMI of long-term unemployed people by a further 0.011%. Conclusions: The design of health policies for the treatment and prevention of adult obesity should be tailored to the phase of the economic cycle and focus especially on the long-term unemployed individuals.

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“…The current study also revealed that being overweight was less prevalent among employed women. In line with these findings, Noh et al showed that employed women had lower BMIs, although they also showed that employment status had various impacts on BMI by gender [ 32 ]. Sarma et al found that unemployed women were at a 1.44-times higher risk of being overweight or obese than employed women [ 12 ].…”

Section: Discussionmentioning

confidence: 80%

“…Sarma et al found that unemployed women were at a 1.44-times higher risk of being overweight or obese than employed women [ 12 ]. In fact, unemployment can be associated with behavioral changes which affect diet with increased consumption of unhealthy foods and less physical activity that can lead to weight gain [ 32 , 33 ]. In addition, women with an educational level below high-school diploma were at a higher risk of being overweight.…”

Section: Discussionmentioning

confidence: 99%

Gender difference in determinant factors of being overweight among the 40–70-year-old population of Kharameh cohort study, Iran

et al. 2021

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Background Iranians face being overweight as one of the most common health problems, which is more prevalent among women. This study aimed to identify gender differences in determinants of being overweight in 40- to 70-year-old participants from Kharameh, Iran. Methods This cross-sectional study was conducted during 2015–2016. The total 10,663 inhabitants of Kharameh, Iran, aged 40–70 years old, were target population. Those with a body mass index (BMI) < 18.5 or > 29.9 were excluded. A checklist composed of socio-demographic, lifestyle, and BMI items was used; a p-value < 0.05 was considered significant. Results Overall, 53.4% of 8222 participants were overweight. The prevalence of overweight women (62.7%) was significantly higher (p < 0.001) than men (43.6%). The logistic regression model for men showed that being overweight was more likely among men with cigarette smoking history (OR = 1.49) and those with a moderate physical activity level (OR = 1.35), but less likely among those with a higher socio-economic status (SES) (OR = 0.74). Among women, being overweight was associated with high SES (OR = 1.61), an education level below high school diploma (OR = 1.57) and primary school education (OR = 1.50), being married (OR = 2.39), widowed (OR = 2.11) and having a greater calorie intake (OR = 1.01). Being overweight was less likely among employed women (OR = 0.85), those with cigarette smoking history (OR = 0.65), and those with high (OR = 0.72) and intensive physical activity (OR = 0.73). Conclusions This study revealed the gender differences in determining factors affecting being overweight. As being overweight was more prevalent among women, the priority of health policies to control this issue should also be focused on women.

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Age and gender differential relationship between employment status and body mass index among middle-aged and elderly adults: a cross-sectional study

Cited by 5 publications

References 37 publications

Predictors of Obesity among Adults Who Have Diabetes Mellitus Type Two

Predictors of Obesity among Adults Who Have Diabetes Mellitus Type Two

How Are Unemployed Individuals with Obesity Affected by an Economic Crisis?

Gender difference in determinant factors of being overweight among the 40–70-year-old population of Kharameh cohort study, Iran

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