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Leyaro B, Boakye D, Howie L, Ali A, Carragher R. Associations between Type of Bariatric Surgery and Obstructive Sleep Apnoea, Employment Outcomes, and Body Image Satisfaction: A Systematic Review and Meta-Analysis. Obes Facts 2024; 18:57-71. [PMID: 39362205 PMCID: PMC12017764 DOI: 10.1159/000541782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 09/30/2024] [Indexed: 10/05/2024] Open
Abstract
INTRODUCTION Bariatric surgery has been shown to provide significant patient benefits in terms of weight loss and mitigation of obesity-linked comorbidities, as well as providing improvements in occupational productivity and patient quality of life. However, the choice of which bariatric surgery procedure provides the most patient benefit in each of these cases is still in question. In this review, we provide a systematic review, with the objective of evaluating associations between different bariatric surgery procedures and mitigation of obesity-linked comorbidities, improvement in occupational productivity, and patient quality of life, concentrating on three areas: obstructive sleep apnoea (OSA), employment prospects, and body image. METHODS The CINAHL, PubMed, Web of Science, and CENTRAL databases were searched for eligible studies. Summary risk ratio (RR) and 95% confidence intervals were estimated using random-effects models. Thirty-three studies were included in this review, including 29 cohort studies and 4 randomised clinical trials (RCTs). RESULTS Pooled analysis of the observational studies showed significantly lower OSA remission in sleeve gastrectomy (SG) compared to Roux-en-Y gastric bypass (RYGB) across both short-term (1-2 years) and longer term (3+ years) follow-up periods (RR = 0.91, 95% CI = 0.84-0.99, p = 0.02; and RR = 0.88, 95% CI = 0.65-0.99, p = 0.03, respectively). In contrast, a meta-analysis of the RCT studies found no difference in OSA remission between SG and RYGB (RR = 1.01, 95% CI = 0.81-1.25, p = 0.93). An analysis of four studies showed significantly higher OSA remission for SG versus adjustable gastric banding (RR = 1.83, 95% CI = 1.57-2.14, p < 0.001). No significant difference was observed regarding improvement in employment status between SG and RYGB (RR = 0.77, 95% CI = 0.32-1.87, p = 0.57). A narrative synthesis of studies on body image reported no significant differences between body image scores and surgery types. CONCLUSION This review found significantly lower OSA remission in SG as compared to RYGB across different follow-up periods, while no significant statistical difference was observed in RCT studies. Further studies are recommended to assess the effectiveness of the various bariatric surgeries in relation to improving employment status and body image, where primary studies are lacking.
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Affiliation(s)
- Beatrice Leyaro
- School of Computing, Engineering and Physical Sciences, University of West of Scotland, Paisley, UK
- Institute of Public Health: Epidemiology and Biostatistics Department, Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Daniel Boakye
- School of Health and Life Sciences, University of the West of Scotland, Paisley, UK
| | - Lyz Howie
- School of Health and Life Sciences, University of the West of Scotland, Paisley, UK
| | - Abdulmajid Ali
- Department of General and Upper GI Surgery, University Hospital Ayr, Ayr, UK
| | - Raymond Carragher
- School of Computing, Engineering and Physical Sciences, University of West of Scotland, Paisley, UK
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Kesaite V, Greve J. The impact of excess body weight on employment outcomes: A systematic review of the evidence. ECONOMICS AND HUMAN BIOLOGY 2024; 54:101398. [PMID: 38718448 DOI: 10.1016/j.ehb.2024.101398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/19/2024] [Accepted: 04/25/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Excess body weight has been recognised as an important factor in influencing labour market outcomes. Several hypotheses explain the causal effect of excess body weight on employment outcomes, including productivity, labour supply, and discrimination. In this review, we provide a systematic synthesis of the evidence on the causal impact of excess body weight on labour market outcomes worldwide. METHODS We searched Econ Lit, and Web of Science databases for relevant studies published from 1st Jan 2010-20 th Jan 2023. Studies were included if they were either longitudinal analysis, pooled cross-sectional or cross-sectional studies if they used instrumental variable methodology based on Mendelian Randomisation. Only studies with measures of body weight and employment outcomes were included. RESULTS The number of potentially relevant studies constituted 4321 hits. A total of 59 studies met the inclusion criteria and were qualitatively reviewed by the authors. Most of the included studies were conducted in the USA (N=18), followed by the UK (N=9), Germany (N=6), Finland (N=4), and non-EU countries (N=22). Evidence from the included studies suggests that the effect of excess weight differs by gender, ethnicity, country, and time period. White women with excess weight in the USA, the UK, Germany, Canada, and in the EU (multi-country analyses) are less likely to be employed, and when employed they face lower wages compared to normal weight counterparts. For men there is no effect of excess weight on employment outcomes or the magnitude of the effect is much smaller or even positive in some cases. CONCLUSIONS This review has shown that despite ample research on the relationship between excess weight and employment status and wages, robust causal evidence of the effects of excess weight on employment outcomes remains scarce and relies significantly on strong statistical and theoretical assumptions. Further research into these relationships outside of USA and Western Europe context is needed.
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Affiliation(s)
- Viktorija Kesaite
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom.
| | - Jane Greve
- VIVE - The Danish Center for Social Science Research, Herluf Trolles Gade 11, Copenhagen K 1052, Denmark
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Reeder NK, Reneker JC. Food insecurity is associated with metabolic syndrome among US adults: NHANES 2005-2016. Nutr Res 2024; 126:159-166. [PMID: 38718433 PMCID: PMC11179963 DOI: 10.1016/j.nutres.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 03/24/2024] [Accepted: 03/31/2024] [Indexed: 06/16/2024]
Abstract
The primary objective of this study was to examine the association between food security status and metabolic syndrome (MetS) using a nationally representative dataset. We hypothesized that food insecurity would be associated with an increased odds of having MetS. This was a cross-sectional analysis of data from the 2005-2006 to 2015-2016 National Health and Nutrition Examination Survey data collection cycles. Food security was measured using the US Food Security Survey Module. Presence of MetS was determined using the National Cholesterol Education Program Adult Treatment Panel III criteria. The association between food insecurity and MetS was examined using logistic regression models stratified by sex and adjusted for poverty to income ratio, age, race, marital status, educational attainment, smoking status, and body mass index. After adjusting for covariates, men with marginal (odds ratio, 1.64; 95% confidence interval [CI], 1.22-2.20) and low (odds ratio, 1.33; 95% CI, 1.02-1.73) food security had a higher odds of having MetS than men with full food security; however, this association was lost among men with very low food security. For women, very low food security was associated with a 1.61 times greater odds of having MetS (95% CI, 1.16-2.25). These results suggest that food insecurity is generally associated with an increased prevalence of MetS for women, but not necessarily for men. These findings highlight the need to address rising food insecurity rates, while also highlighting the need for further research to fully elucidate the role of gender and sex in food insecurity and chronic disease.
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Affiliation(s)
- Nicole K Reeder
- Department of Food Science, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
| | - Jennifer C Reneker
- Department of Population Health Sciences, University of Mississippi Medical Center, Jackson, Mississippi, USA
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Pekkurnaz D. Causal effect of obesity on the probability of employment in women in Turkey. ECONOMICS AND HUMAN BIOLOGY 2023; 51:101301. [PMID: 37651829 DOI: 10.1016/j.ehb.2023.101301] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 07/11/2023] [Accepted: 08/17/2023] [Indexed: 09/02/2023]
Abstract
This study aims to investigate the causal effect of obesity on the employment probability of women in Turkey via the instrumental variable approach by using data from the 2018 Turkey and Demographic Health Survey. Obesity prevalence in the area of living and the overweight status of the oldest child, which are the most common types of instruments seen in the literature, are used as instruments. Consistent with the OLS result, the 2SLS estimate indicates that obese women are statistically significantly less likely to be employed when the overweight status of the child is used as an instrument. On the other hand, the statistically significant effect of obesity disappears when the area level obesity prevalence is used as the instrument. In addition, obesity in women decreases the likelihood of employment in the services sector and full-time jobs and employment with social security. Although the results of this study do not indicate the source of the effect found, the presence of a causal relationship for women should not be ignored when the economic burden of obesity for Turkey is considered.
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Affiliation(s)
- Didem Pekkurnaz
- Başkent University, Faculty of Economics and Administrative Sciences, Department of Economics, Bağlıca Campus, Fatih Sultan Mahallesi, Eskişehir Yolu 18. Km, Etimesgut, 06790 Ankara, Turkey.
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Cabrera-Mendoza B, Wendt FR, Pathak GA, De Angelis F, De Lillo A, Koller D, Polimanti R. The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study. Int J Epidemiol 2022; 51:1371-1383. [PMID: 35751636 PMCID: PMC9278255 DOI: 10.1093/ije/dyac129] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 10/18/2021] [Accepted: 05/30/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Due to its large impact on human health, socio-economic status (SES) could at least partially influence the established association between obesity and coronavirus disease 2019 (COVID-19) severity. To estimate the independent effect of body size and SES on the clinical manifestations of COVID-19, we conducted a Mendelian randomization (MR) study. METHODS Applying two-sample MR approaches, we evaluated the effects of body mass index (BMI, n = 322 154), waist circumference (WC, n = 234 069), hip circumference (n = 213 019) and waist-hip ratio (n = 210 088) with respect to three COVID-19 outcomes: severe respiratory COVID-19 (cases = 8779, controls = 1 000 875), hospitalized COVID-19 (cases = 17 992, controls = 1 810 493) and COVID-19 infection (cases = 87 870, controls = 2 210 804). Applying a multivariable MR (MVMR) approach, we estimated the effect of these anthropometric traits on COVID-19 outcomes accounting for the effect of SES assessed as household income (n = 286 301). RESULTS BMI and WC were associated with severe respiratory COVID-19 [BMI: odds ratio (OR) = 1.51, CI = 1.24-1.84, P = 3.01e-05; WC: OR = 1.48, 95% CI = 1.15-1.91, P = 0.0019] and hospitalized COVID-19 (BMI: OR = 1.50, 95% CI = 1.32-1.72, P = 8.83e-10; WC: OR = 1.41, 95% CI = 1.20-1.67, P = 3.72e-05). Conversely, income was associated with lower odds of severe respiratory (OR = 0.70, 95% CI = 0.53-0.93, P = 0.015) and hospitalized COVID-19 (OR = 0.78, 95% CI = 0.66-0.92, P = 0.003). MVMR analyses showed that the effect of these obesity-related traits on increasing the odds of COVID-19 negative outcomes becomes null when accounting for income. Conversely, the association of income with lower odds of COVID-19 negative outcomes is not affected when including the anthropometric traits in the multivariable model. CONCLUSION Our findings indicate that SES contributes to the effect of obesity-related traits on COVID-19 severity and hospitalization.
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Affiliation(s)
- Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Frank R Wendt
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | | | - Dora Koller
- Department of Psychiatry, Yale School of Medicine, West Haven, CT, USA
- VA CT Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Corresponding author. Department of Psychiatry, Yale University School of Medicine, VA CT 116A2, 950 Campbell Avenue, West Haven, CT 06516, USA. E-mail:
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Campbell D, Green MJ, Davies N, Demou E, Howe LD, Harrison S, Smith DJ, Howard DM, McIntosh AM, Munafò M, Katikireddi SV. Effects of depression on employment and social outcomes: a Mendelian randomisation study. J Epidemiol Community Health 2022; 76:563-571. [PMID: 35318279 PMCID: PMC9118074 DOI: 10.1136/jech-2021-218074] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/08/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Depression is associated with socioeconomic disadvantage. However, whether and how depression exerts a causal effect on employment remains unclear. We used Mendelian randomisation (MR) to investigate whether depression affects employment and related outcomes in the UK Biobank dataset. METHODS We selected 227 242 working-age participants (40-64 in men, 40-59 years for women) of white British ethnicity/ancestry with suitable genetic data in the UK Biobank study. We used 30 independent genetic variants associated with depression as instruments. We conducted observational and two-sample MR analyses. Outcomes were employment status (employed vs not, and employed vs sickness/disability, unemployment, retirement or caring for home/family); weekly hours worked (among employed); Townsend Deprivation Index; highest educational attainment; and household income. RESULTS People who had experienced depression had higher odds of non-employment, sickness/disability, unemployment, caring for home/family and early retirement. Depression was associated with reduced weekly hours worked, lower household income and lower educational attainment, and increased deprivation. MR analyses suggested depression liability caused increased non-employment (OR 1.16, 95% CI 1.06 to 1.26) and sickness/disability (OR 1.56, 95% CI 1.34 to 1.82), but was not causal for caring for home/family, early retirement or unemployment. There was little evidence from MR that depression affected weekly hours worked, educational attainment, household income or deprivation. CONCLUSIONS Depression liability appears to cause increased non-employment, particularly by increasing disability. There was little evidence of depression affecting early retirement, hours worked or household income, but power was low. Effective treatment of depression might have important economic benefits to individuals and society.
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Affiliation(s)
- Desmond Campbell
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Michael James Green
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Neil Davies
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Evangelia Demou
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sean Harrison
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Daniel J Smith
- Division of Psychiatry, Centre for Clinical Brain Sciences, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - David M Howard
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Marcus Munafò
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | - Srinivasa Vittal Katikireddi
- MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Destri K, Alves J, Gregório MJ, Dias SS, Henriques AR, Mendonça N, Canhão H, Rodrigues AM. Obesity- attributable costs of absenteeism among working adults in Portugal. BMC Public Health 2022; 22:978. [PMID: 35568836 PMCID: PMC9107744 DOI: 10.1186/s12889-022-13337-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 04/25/2022] [Indexed: 12/23/2022] Open
Abstract
Background Obesity leads to poor health outcomes and may adversely affect work productivity. This study, aimed to investigate the obesity- attributable costs of absenteeism among working adults in Portugal. Methods The study population included individuals actively working at baseline from the Epidemiology of Chronic Diseases Cohort (EpiDoC), a large Portuguese population-based prospective study. Body mass index was measured at baseline and in two follow-up interviews. Absenteeism in each wave of the EpiDoC was assessed by the question “Did you have a sick leave in the previous 12 months? yes/no”, followed by “How many days did you miss work due to sickness in the previous twelve months?”. Body mass index (BMI) was classified into underweight, normal weight, overweight, and obese, based on the standard World Health Organization definition. Association between obesity and absenteeism was estimated with the negative binomial regression model adjusted for BMI, chronic diseases, and lifestyle. Obesity- attributable costs were calculated using lost gross income during the time absent from work, through the human-capital approach. Results The EpiDoC included 4338 working adults at baseline. Of these, 15.2% were obese at the beginning of the study and 22.7% of the population had been absent from work in the last 12 months. Participants with obesity missed 66% more days at work (IRR: 1.66; CI 95%:1.13–2.44; (p = 0.009.) than those with normal weight. The odds of having been absent from work were 1.4 times higher in obese compared to non-obese individuals (CI 95%: 1.18–1.67; p < 0.01) adjusted to sex and type of work. Obese individuals missed 3.8 more days per year than those with normal weight (95%CI: 3.1–4.5). Extrapolating to the entire Portuguese working population, absenteeism due to obesity incurred an additional cost of €238 million per year. Conclusion Obesity imposes a financial burden due to absenteeism in Portugal. Employers and national health regulators should seek effective ways to reduce these costs. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13337-z.
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Affiliation(s)
- Kelli Destri
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal. .,EpiDoC Unit, CEDOC, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal.
| | - Joana Alves
- Comprehensive Health Research Center (CHRC), NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Maria João Gregório
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal.,Programa Nacional Para a Promoção da Alimentação Saudável, Direção-Geral da Saúde, Lisbon, Portugal.,Faculdade de Ciências da Nutrição E Alimentação, Universidade Do Porto, Porto, Portugal
| | - Sara Simões Dias
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal.,Center for Innovative Care and Health Technology, CiTechCare, Instituto Politécnico de Leiria/Escola Superior de Saúde, Leiria, Portugal
| | - Ana Rita Henriques
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal.,EpiDoC Unit, CEDOC, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Nuno Mendonça
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal.,EpiDoC Unit, CEDOC, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Helena Canhão
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal.,EpiDoC Unit, CEDOC, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal.,National School of Public Health, UNL, Lisboa, Portugal
| | - Ana Maria Rodrigues
- Comprehensive Health Research Centre, NOVA Medical School, Universidade Nova de Lisboa, 1169-056, Lisboa, Portugal.,EpiDoC Unit, CEDOC, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal.,Hospital Dos Lusíadas, Lisboa, Portugal
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