Occupation and Obesity: Effect of Working Hours on Obesity by Occupation Groups

Barlin, Hande; Mercan, Murat Anil

doi:10.11114/aef.v3i2.1351

Cited by 12 publications

(5 citation statements)

References 49 publications

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“…Other studies have looked further into this topic, seeking correlations between the obesity prevalence and some specific occupational factors or work organization characteristics. Associations were found with working hours, shift work, hostile work environment, sedentary work and low physical demand, company size [21,22,[33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 97%

Gender differences and occupational factors for the risk of obesity in the Italian working population

et al. 2020

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Background: Obesity is a multifactorial condition and a major risk factor associated with several noncommunicable diseases, such as cardiovascular disease, and with a higher risk of premature death and disability. Sex-specific factors have key roles and must be taken into consideration in studying occupational factors associated with the risk of obesity. The aim of this study was to investigate gender differences in body mass index (BMI) in a large cohort representative of Italian workers and, correlating this index with several demographic and occupational variables, to verify sex-and work-dependent differences in the risk of obesity. Methods: We utilized data from INSuLa, a cross-sectional, nationally representative survey of the Italian worker population conducted in 2013 by the Italian Workers' Compensation Authority to investigate health and safety at work. Analyses were run on a sample of 8000 Italian workers, aged from 16 to 64 years. Logistic regression models were employed to assess gender differences in the relation between occupational characteristics and BMI. We adjusted for age, education, variables related to health protection at work, and chronic conditions and diseases. Results: There were several significant differences in the BMI between males and females, linked to some occupational factors. For instance, female shift workers were 1.32 times (95% CI 1.11-1.57) more likely to be overweight or obese than normal-weight workers, and this association was maintained when controlling for confounders. The likelihood of overweight or obesity among women who worked 1-2 night shifts per week was significantly higher-1.5-1.6 timesthan those on day shifts. Conclusions: Gender-specific differences in occupational factors associated with the risk of obesity are useful with a view to characterizing this risk and helping identify workplace-targeted intervention strategies.

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Section: Introductionmentioning

confidence: 97%

Gender differences and occupational factors for the risk of obesity in the Italian working population

et al. 2020

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“…The negative relationship manifested significantly in the north-western part of India for the rural areas and illustrated the global nature almost across entire India for the urban counterparts. A study stated that workers in certain occupations were less likely to have excess weight [ 36 ], and the potential for occupational physical activity on the total caloric expenditure could have a much greater impact [ 37 ]. Hence the negative association is perhaps due to higher involvement in physical activity and energy expenditure with agricultural occupation.…”

Section: Discussionmentioning

confidence: 99%

Spatial inequality and explaining the urban-rural gap in obesity in India: Evidence from 2015–16 population-based survey

Barua

2023

PLoS ONE

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Objective This study assessed the spatial dimension of urban-rural disparity in obesity prevalence and identified the determinants explaining the urban-rural gap in obesity prevalence in India. Methods Using cross-sectional survey data from the 2015–16 National Family Health Survey, the prevalence rates of obesity were calculated for aged 15–49 years. Two multiscale geographically weighted regressions were performed separately from rural and urban spaces for Indian districts to examine the spatial relationship of the outcome variable and covariates at different geographical scales. Fairlie decomposition analysis was carried out to explore the contribution of each variable in the urban-rural gap. Results The rural-urban obesity prevalence difference has increased in a decade time for India from 13.0 to 14.6. Urban counterparts tended to have more people with excess weight. 15 states had an urban-rural prevalence ratio of 2 or higher. The MGWR model showed that varying covariates operated at different scales, i.e. global, regional and local scales, and determined the spatial heterogeneity of obesity prevalence. The only variable, i.e. age (9.49 per cent), had contributed in reducing the gap. Conversely, the socioeconomic variables, i.e. income (96.39 per cent), education (4.95 per cent), caste (4.78 per cent) and occupation (3.11 per cent), had widened the gap. Conclusions Even though this study evidenced the rural-urban gap in obesity prevalence, it indicated the gap’s closing shortly, as it was witnessed in a few states. It is urgent to address the obesity epidemic, especially in urban India, due to its higher prevalence and prevent the further increase of prevalence in rural India, mainly because it shelters nearly 70 per cent of the Indian population.

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“…Araştırmanın yapılabilmesi için Üsküdar Üniversitesi Girişimsel Olmayan Etik Kurulu'nun 27/12/2019 tarih ve 61351342/2019-657 sayılı izni alınmıştır. Meslekler ve obezite arasındaki ilişkiyi inceleyen bir çalışmada [13]; bazı mesleklerin doğasıyla ilişkili olarak bu mesleklerdeki çalışanların obezite olasılığının daha düşük olduğu bildirilmiştir. Mühendisler, mimarlar ve bilim adamları ile yazarlar, sanatçılar, göstericiler ve sporcular olmak üzere iki meslek grubunun üyelerinin yüksek eğitimli olmalarının sağlık bilgilerini yorumlamada kolaylık sağladığı, sağlıklı yaşam tarzlarını benimsemelerinde etkili olduğu ve böylece daha düşük obezite oranlarına sahip oldukları sonucuna varılmıştır.…”

Section: Etik Kurul Kararı (Ethics Committee Decision)unclassified

Untitled

2021

NWSA

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YETİŞKİNLERDE BESLENME OKURYAZARLIĞIN SAĞLIKLI BESLENMEYE İLİŞKİN TUTUMLAR VE BEDEN KÜTLE İNDEKSİ İLE İLİŞKİSİ ÖZ Bu çalışmada yetişkinlerde beslenme okuryazarlığı düzeyini tespit etmek ve bunun, sağlıklı beslenmeye ilişkin tutumlar ve Beden Kütle İndeksi (BKİ) ile ilişkisinin araştırılması amaçlanmıştır. Kesitsel ve tanımlayıcı nitelikte olan bu çalışmaya Türkiye'de yaşayan 20-65 yaş arası 750 gönüllü dahil edilmiştir. Veri toplama aracı olarak; Sosyodemografik bilgi formu, Yetişkinlerde Beslenme Okuryazarlığı Değerlendirme Aracı (YBOYDA) ve Sağlıklı Beslenmeye ilişkin Tutum Ölçeği (SBİTÖ) kullanılmıştır. Katılımcıların ortalama yaşı 27.10±8.70 yıl ve BKİ 23.45±4.59 kg/m 2 olup erkeklerin BKİ, kadınların değerinden daha yüksektir (sırasıyla; 26.11±3.80 kg/m 2 ve 22.67±4.52 kg/m 2 ). Katılımcıların %67.3'ünün yüksek derecede sağlıklı beslenmeye ilişkin tutuma sahip oldukları ve beslenme okuryazarlığı yönünden %83.7'sinin yeterli düzeyde, %16,3'sinin sınırda beslenme okuryazarlığının olduğu bulunmuştur. Zayıf ve ideal kilolu bireylerin okuryazarlık düzeyleri daha yüksektir. Beslenme okuryazarlığının sağlıklı beslenme tutumu ve BKİ'ni olumlu yönde etkilediği sonucuna varılmıştır.

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Occupation and Obesity: Effect of Working Hours on Obesity by Occupation Groups

Cited by 12 publications

References 49 publications

Gender differences and occupational factors for the risk of obesity in the Italian working population

Gender differences and occupational factors for the risk of obesity in the Italian working population

Spatial inequality and explaining the urban-rural gap in obesity in India: Evidence from 2015–16 population-based survey

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