Obesity is associated with incident atrial fibrillation independent of gender: A meta‐analysis

Asad, Zain Ul Abideen; Abbas, Mubasher; Javed, Isma; Korantzopoulos, Panagiotis; Stavrakis, Stavros

doi:10.1111/jce.13458

Cited by 67 publications

(40 citation statements)

References 60 publications

(132 reference statements)

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“…The associations between obesity and a wide range of comorbidities differ between genders, for example: Migraine[ 103 ], depression, eating disorders, anxiety and other mental disorders[ 104 , 105 ], sleep apnea[ 106 ], hypertension[ 107 , 108 ], atrial fibrillation[ 109 ], certain cancers etc . While most gender-specific differences in obesity-related comorbidities have been investigated and documented in adults, one cannot exclude the possibility that these, at least partially, reflect differences in health problems among obese children and adolescents.…”

Section: From Evidence For Gender Differences In Health Conditions Tomentioning

confidence: 99%

Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy

Machluf

Chaiter

Tal

2020

WJCC

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Gender-specific differences in the prevalence, incidence, comorbidities, prognosis, severity, risk factors, drug-related aspects and outcomes of various medical conditions are well documented. We present a literature review on the extent to which research in this field has developed over the years, and reveal gaps in gender-sensitive awareness between the clinical portrayal and the translation into gender-specific treatment regimens, guidelines and into gender-oriented preventive strategies and health policies. Subsequently, through the lens of gender, we describe these domains in detail for four selected medical conditions: Asthma, obesity and overweight, chronic kidney disease and coronavirus disease 2019. As some of the key gender differences become more apparent during adolescence, we focus on this developmental stage. Finally, we propose a model which is based on three influential issues: (1) Investigating gender-specific medical profiles of related health conditions, rather than a single disease; (2) The dynamics of gender disparities across developmental stages; and (3) An integrative approach which takes into account additional risk factors (ethnicity, socio-demographic variables, minorities, lifestyle habits etc .). Increasing the awareness of gender-specific medicine in daily practice and in tailored guidelines, already among adolescents, may reduce inequities, facilitate the prediction of future trends and properly address the characteristics and needs of certain subpopulations within each gender.

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Section: From Evidence For Gender Differences In Health Conditions Tomentioning

confidence: 99%

Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy

Machluf

Chaiter

Tal

2020

WJCC

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“…Atrial fibrillation is associated with heart failure, obesity, diabetes, hypertension, and hyperthyroidism [9]. Obesity has been shown to be an independent risk factor for AF [10], and this association has been observed in multiples studies thus far [11][12][13]. Wang et al [11], analyzed the data of the Framingham Heart Study, a long-standing, multigenerational, longitudinal study of cardiovascular disease, and found that body mass index (BMI) independently predicted AF when adjusted for other risk factors [11].…”

Section: Obesity and Metabolic Syndromementioning

confidence: 92%

The Role of Cardiovascular and Metabolic Comorbidities in the Link between Atrial Fibrillation and Cognitive Impairment: An Appraisal of Current Scientific Evidence

et al. 2019

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Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical practice with implications on long-term outcomes. Metabolic disorders including diabetes mellitus and obesity are independent predictors of atrial fibrillation and present therapeutic targets to reduce both the incidence and duration burden of atrial fibrillation. The presence of pericardial fat in direct contact with cardiac structures, as well the subsequent release of proinflammatory cytokines, may play an important role in this connection. Atrial fibrillation is an independent predictor of cognitive impairment and dementia. While clinical stroke is a major contributor, other factors such as cerebral hypoperfusion and microbleeds play important roles. New evidence suggests that atrial fibrillation and cognitive impairment may be downstream events of atrial cardiomyopathy, which may be caused by several factors including metabolic syndrome, obesity, and obstructive sleep apnea. The mechanisms linking these comorbidities to cognitive impairment are not yet fully elucidated. A clearer understanding of the association of AF with dementia and cognitive impairment is imperative. Future studies should focus on the predictors of cognitive impairment among those with AF and aim to understand the potential mechanisms underlying these associations. This would inform strategies for the management of AF aiming to prevent continued cognitive impairment.

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“…A recent meta-analysis showed per 5 units increment in BMI, risk of AF increased by around 1.3 times [24]. Another metaanalysis on 587,372 subjects confirmed a higher incidence of AF in obese individuals in comparison with non-obese ones (6.3% versus 3.1%; RR (Relative Risk) = 1.51) [25]. Besides, other studies have indicated that patients with BMI ≥ 35kg/m 2 had a higher rate of post-ablation AF recurrence compared with those with BMI < 35 kg/m 2 HR (Hazard Ratio) = 1.22) [26].…”

Section: Obesitymentioning

confidence: 96%

Atrial fibrillation: A review of modifiable risk factors and preventive strategies

Shamloo

Dagres

Arya

et al. 2019

Romanian Journal of Internal Medicine

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Atrial fibrillation (AF), as the most common cardiac arrhythmia worldwide, is associated with increased mortality and morbidity. Successful therapeutic strategies have been introduced so far, but they are associated with significant costs. Therefore, identification of modifiable risk factors of AF and the development of appropriate preventive strategies may play a substantial role in promoting community health and reducing health care system costs. Modifiable cardiovascular risk factors including obesity, hypertension, diabetes mellitus, obstructive sleep apnea, alcohol consumption, smoking, and sedentary lifestyles have been proposed as possible contributors to the development and progression of AF. In this review, we discuss the role of modifiable risk factors in the development and management of AF and the evidence for the underlying mechanism for each of the potential risk factor.

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Obesity is associated with incident atrial fibrillation independent of gender: A meta‐analysis

Abstract: Obesity is associated with an increased risk of new-onset AF in susceptible individuals. This effect appears to be consistent in both genders. Further studies are warranted to examine the impact of weight loss interventions on the risk of developing AF.

Cited by 67 publications

References 60 publications

Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy

Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy

The Role of Cardiovascular and Metabolic Comorbidities in the Link between Atrial Fibrillation and Cognitive Impairment: An Appraisal of Current Scientific Evidence

Atrial fibrillation: A review of modifiable risk factors and preventive strategies

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