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Alamri AM, Alsareii SA, Isaway NA, Alshaiban SH, Alyami SY, Alsaid MT. The Impact of Bariatric Surgery on Weight Reduction and the Resolution of Comorbidities in Older Geriatric Populations of Saudi Arabia: A Retrospective Study. Cureus 2024; 16:e69349. [PMID: 39282480 PMCID: PMC11398708 DOI: 10.7759/cureus.69349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2024] [Indexed: 09/19/2024] Open
Abstract
Background Obesity is a significant health concern among older adults, leading to various comorbidities and reduced quality of life. Bariatric surgery (BS) has emerged as a potential intervention, but its efficacy in geriatric populations, particularly in Saudi Arabia, is not well-established. Aims This retrospective study aims to evaluate the impact of BS on weight reduction and comorbidity resolution in Saudi Arabian geriatric populations. Methods A retrospective cohort study was conducted at King Khalid Hospital, Saudi Arabia, involving geriatric patients aged 60 and above who underwent BS between January 2018 and December 2022. Data were collected from medical records and analyzed using descriptive statistics, chi-square tests, t-tests, and multivariate regression analysis. Results The study included a total of 26 patients with a mean age of 64 years. Of these, 18 (69.3%) were females, while eight (30.7%) were males, and 23 (87%) underwent sleeve gastrectomy (SG), while three (13%) had Roux-en-Y gastric bypass (RYGB). Preoperative comorbidities majorly included diabetes (17, 35.42%), hypertension (11, 22.92%), and anemia (four, 8.33%). The average body mass index (BMI) of the patients decreased significantly from 45.12 to 37.29 at three months and further to 31.36 at six months post surgery. Total weight loss (TWL) was 19.92% at three months and 35.15% at six months, while the percentage of excess weight loss (%EWL) was 33.42% at three months and 57.85% at six months. Results also showed a significant reduction in the number of comorbidities postoperatively. A significant association with gender, preoperative weight, and preoperative height at three and six months and a significant association with preoperative BMI and comorbidity status at six months were recorded. Conclusion The study suggests that bariatric surgery is effective in achieving significant weight loss and improving comorbidities in geriatric patients. Few demographic and clinical features affect the outcome of the weight loss.
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Affiliation(s)
| | - Saeed A Alsareii
- Department of Surgery, College of Medicine, Najran University, Najran, SAU
| | - Nadia A Isaway
- Department of Surgery, College of Medicine, Najran University, Najran, SAU
| | - Saleh H Alshaiban
- Department of Surgery, College of Medicine, Najran University, Najran, SAU
| | - Saleh Y Alyami
- Department of Medicine, College of Medicine, Najran University, Najran, SAU
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Sumy MSA, Parh MYA, Soni MSM, Saifuddin N, Elma JF, Zarei H, Hossain MM. Differences in Associated Factors of Underweight and Overweight According to Rural-Urban Residence Strata among Ever-Married Non-Pregnant Women of Reproductive Age in Bangladesh. Malays J Med Sci 2024; 31:229-240. [PMID: 38984237 PMCID: PMC11229563 DOI: 10.21315/mjms2024.31.3.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/19/2023] [Indexed: 07/11/2024] Open
Abstract
Background This study sought to compare the prevalence of underweight and overweight among ever-married, non-pregnant women of reproductive age in Bangladesh by urban or rural residency status. Methods This study used Bangladesh Demographic and Health Survey (BDHS), 2017 data. Cross-sectional study design with two-stage stratified sampling method was employed. A sample of ever-married non-pregnant women of reproductive age was selected and multinomial logistic regression was utilised in analysis. Results It was found that around half of rural women (45.0%, N = 4,934) and more than half of urban women (60.3%, n = 3,913) were overweight. Nearly one in seven rural women (14.0%, n = 1,537) and 1 in 12 urban women (9.0%, n = 564) were reported as underweight. Our analyses revealed that being overweight was substantially connected with age, husband's occupation, economic status, television access, and division for both urban and rural areas. Women from poor households were significantly more likely to be underweight than women from middle- income households for both urban (P < 0.05; OR: 1.41; 95% CI: 1.03, 1.94) and rural (P < 0.05; OR: 1.23; 95% CI: 1.04, 1.46) areas. Interestingly, women without television access both in urban (P < 0.001; OR = 0.78; 95% CI: 0.67, 0.91) and rural (P < 0.001; OR = 0.75; 95% CI: 0.68, 0.84) areas had an inverse association with overweight/obesity compared to women with television access. In both areas, women in Sylhet and Mymensingh had higher likelihood of being underweight than Barisal division. Additionally, in both residential zones, women in Sylhet had lower likelihood of being overweight than Barisal division. Conclusion This study reveals that multiple characteristics are linked to both overweight and underweight among ever-married, non-pregnant women of reproductive age in Bangladesh. Addressing these variables should be a priority in public health efforts to combat the dual challenge of malnutrition in Bangladesh.
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Affiliation(s)
- Mst Sharmin Akter Sumy
- Department of Bioinformatics and Biostatistics, University of Louisville, Kentucky, USA
- Department of Statistics, Islamic University, Kushtia, Bangladesh
| | - Md Yasin Ali Parh
- Department of Bioinformatics and Biostatistics, University of Louisville, Kentucky, USA
- Department of Statistics, Islamic University, Kushtia, Bangladesh
| | | | | | | | - Hamid Zarei
- Department of Health Management and Systems Science, University of Louisville, Kentucky, USA
| | - Md Murad Hossain
- Department of Statistics, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Bangladesh
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Shafran I, Krakauer NY, Krakauer JC, Goshen A, Gerber Y. The predictive ability of ABSI compared to BMI for mortality and frailty among older adults. Front Nutr 2024; 11:1305330. [PMID: 38680534 PMCID: PMC11048479 DOI: 10.3389/fnut.2024.1305330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 04/03/2024] [Indexed: 05/01/2024] Open
Abstract
Introduction To study the utility of A Body Shape Index (ABSI) alongside body mass index (BMI) to predict mortality and frailty in an aging community population. Materials and methods Participants (n = 1,580) were drawn from the first Israeli national health and nutrition survey of older adults ("Mabat Zahav") conducted from 2005 to 2006, constituting adults aged ≥65 years. Socio-demographic, clinical, behavioral, and psychosocial data were collected. Baseline weight, height, and waist circumference (WC) were measured and expressed as the allometric indices BMI (kg/m2) and ABSI, a BMI-independent measure of abdominal obesity [WC/(BMI2/3*m1/2)]. Mortality follow-up lasted through 2019. Frailty was assessed in 2017-2019 by the Fried Biological Phenotype in a sub-cohort of 554 survivors. Cox and logistic regression models assessed associations of BMI and ABSI with mortality and frailty. Results At baseline, mean [SD] age was 74.5 [6.1] years, and 52.4% were women. The correlation between BMI and WC Z scores was 0.71, reduced to -0.11 for BMI and ABSI. Over a median follow-up of 13 years, 757 deaths occurred. The multivariable-adjusted hazard ratios (95% CIs) for mortality per standard deviation increase in BMI and ABSI were 1.07 (0.99;1.17) and 1.13 (1.05;1.21), respectively. Among participants assessed for frailty, 77 (14%) met the frailty criteria. After multivariable adjustment, the odds ratios (95% CIs) for frailty were 0.83 (0.69-1.01) for BMI and 1.55 (1.34-1.79) for ABSI. Discussion In a nationwide cohort of older adults, ABSI was independently associated with mortality risk. Furthermore, ABSI, but not BMI, was a strong predictor of frailty.
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Affiliation(s)
- Itamar Shafran
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nir Y. Krakauer
- Department of Civil Engineering, City College of New York, New York, NY, United States
| | | | - Abigail Goshen
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yariv Gerber
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Leng S, Jin Y, Vitiello MV, Zhang Y, Ren R, Lu L, Shi J, Tang X. Association of food insecurity with successful aging among older Indians: study based on LASI. Eur J Nutr 2024; 63:859-868. [PMID: 38200307 DOI: 10.1007/s00394-023-03322-6] [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: 10/08/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024]
Abstract
PURPOSE Whether food insecurity (FI), a social determinant of health, is linked with successful aging (SA) in the older generation remains uncertain. This study explored the association of FI with SA among older Indians. METHODS Data were collected from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-2018). Older adults (≥ 60 years) who completed both the FI and the SA surveys were selected. FI was indicated by the lack of access to enough food in the past year. SA was determined by five components: (1) low probability of diseases; (2) low probability of disability; (3) high cognitive functionality; (4) low probability of depression; and (5) active social engagement. The association of FI and SA was assessed using multivariable logistic regression adjusted for potential covariates. Subgroup analyses were performed to evaluate interactions with age, sex, alcohol use, smoking, and place of residence. RESULTS 27,579 participants met the eligibility criteria. Overall prevalence was 7.13% for FI and 19.41% for SA. Following full adjustment, FI was inversely associated with SA (OR 0.56; 95% CI 0.49-0.65) and with each of SA's five components. No significant interactions of FI and SA were observed in subgroup analyses stratified by age, sex, alcohol use, smoking, or place of residence. CONCLUSIONS FI was inversely associated with SA among older Indians. These findings need to be validated by future studies which should also explore potential underlying mechanisms, and whether interventions decreasing FI might increase SA.
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Affiliation(s)
- Siqi Leng
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Yuming Jin
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Michael V Vitiello
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA
| | - Ye Zhang
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Rong Ren
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China
| | - Lin Lu
- National Institute On Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, 100191, China
| | - Jie Shi
- National Institute On Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, 100191, China
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Urology, Mental Health Center, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Dian Xin Nan Jie 28#, Chengdu, 610041, China.
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Widjaja SS, Rusdiana R, Helvi TM, Simanullang RH, Jayalie VF, Amelia R, Arisa J. Finding a Link between Obesity and Senescence: A Systematic Review and Meta-Analysis. IRANIAN JOURNAL OF PUBLIC HEALTH 2024; 53:12-22. [PMID: 38694856 PMCID: PMC11058390 DOI: 10.18502/ijph.v53i1.14679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/15/2023] [Indexed: 05/04/2024]
Abstract
Background Cell aging is associated with changes in telomeres due to DNA damage arising from chronic inflammation in obese patients. The aim of the systematic review and meta-analysis was to find the relationship between obesity and aging or senescence. Methods The systematic review was conducted through PRISMA guideline, beginning with literature search within 2012-2022 in several databases (PubMed, EBSCOHost, Science Direct, Scopus, and Cochrane) followed by screening process using predetermined PICO criteria. Original studies on the topic of obesity and senescence (aging), from preclinical studies to clinical research (cohort or cross-sectional studies) that were published within the last ten years. All studies were appraised using SYRCLE risk of bias tool for preclinical studies and Newcastle-Ottawa Scale (NOS) for cross-sectional and cohort studies. The data extraction on the studies' characteristic and outcome on aging or senescence were followed by quantitative analysis using MetaXL process on prevalence ratio and hazard ratio of obesity to comorbidities and mortality. Results Fifteen studies were enrolled. Obesity and white adipose tissue cause increased levels of pro-inflammatory and pro-senescence cytokine and macrophage whilst the aging process lowers metabolism with increased insulin resistance and linked to increased risk of obesity. Obesity occurs in 22% (95% CI 18%-26%) of elderly population with higher prevalence rate in the women population. Obesity is associated with significant increased risk of multimorbidity by 56% (OR = 1.58 [95% CI 1.48-1.96]). Conclusion The obesity and aging or senescence has reciprocal relationship between each other.
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Affiliation(s)
- Sry Suryani Widjaja
- Department of Biochemistry, Medical Faculty, Universitas Sumatera Utara, Medan, Sumatera Utara, Indonesia
| | - Rusdiana Rusdiana
- Department of Biochemistry, Medical Faculty, Universitas Sumatera Utara, Medan, Sumatera Utara, Indonesia
| | - Tengku Mardani Helvi
- Department of Biochemistry, Medical Faculty, Universitas Sumatera Utara, Medan, Sumatera Utara, Indonesia
| | | | - Vito Filbert Jayalie
- Department of Radiation Oncology, Murni Teguh Memorial Hospital, Medan, Sumatera Utara, Indonesia
| | - Rina Amelia
- Department of Community Health, Medical Faculty, Universitas Sumatera Utara, Medan, Sumatera Utara, Indonesia
| | - Jessie Arisa
- Department of Wellness, Murni Teguh Memorial Hospital, Medan, Sumatera Utara, Indonesia
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Gajurel BP, Gurung A, Ojha R, Rajbhandari R, Karn R. Dyslipidemia and Obesity in Ischemic Stroke. Cureus 2023; 15:e45409. [PMID: 37854735 PMCID: PMC10581369 DOI: 10.7759/cureus.45409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2023] [Indexed: 10/20/2023] Open
Abstract
Background Dyslipidemia and obesity are both important risk factors for the first and recurrent ischemic strokes. Dyslipidemia is highly prevalent among Asian populations, and the prevalence of obesity is also noted to be progressively increasing in this population. This study was carried out to determine the prevalence of dyslipidemia and central obesity and their association with each other and various cardiovascular risk factors among patients who presented with an acute ischemic stroke to a tertiary care university hospital in Nepal. Methods This study is a secondary analysis done on data from a prospective observational study that was carried out on patients who were either acutely admitted to or visited the outpatient department of the hospital with a diagnosis of ischemic stroke. Dyslipidemia was defined according to the third report of the National Cholesterol Education Program expert panel on detection, evaluation, and treatment of high blood cholesterol in adults. Obesity was defined as central obesity by measuring waist circumference. Data were collected by convenience sampling and analyzed by IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp. Significant variables were compared with logistic regression analysis. Other data were expressed as frequencies and percentages. Results Out of 145 patients, 77 were male (53.1%). The mean age of the patients was 60.15 years. Dyslipidemia and central obesity were present in 96.6% and 57.9% of the patients, respectively. The most common lipid abnormality was low-density lipoprotein cholesterol, present in 82.8% of the patients, followed by high triglycerides, present in 21.4% of them. Dyslipidemia was not associated with any vascular risk factors. Central obesity was significantly associated with female gender, diabetes, and low-density lipoprotein cholesterol in univariate analysis. However, in multivariate logistic regression analysis, it was significantly associated with only female gender (p=0.003) and diabetes (p=0.012). Conclusion Dyslipidemia and central obesity are very common in patients with ischemic stroke. Dyslipidemia is not associated with any vascular risk factors. However, central obesity is significantly associated with the female gender and diabetes.
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Affiliation(s)
- Bikram P Gajurel
- Neurology, Tribhuvan University Institute of Medicine, Kathmandu, NPL
| | - Anju Gurung
- Internal Medicine, Tribhuvan University Institute of Medicine, Kathmandu, NPL
| | - Rajeev Ojha
- Neurology, Tribhuvan University Teaching Hospital, Kathmandu, NPL
| | - Reema Rajbhandari
- Neurology, Tribhuvan University Institute of Medicine, Kathmandu, NPL
| | - Ragesh Karn
- Neurology, Tribhuvan University Institute of Medicine, Kathmandu, NPL
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