The association between quitting smoking and weight gain: a systemic review and meta‐analysis of prospective cohort studies

Tian, Jing; Venn, Alison; Otáhal, Petr; Gall, Seana

doi:10.1111/obr.12304

Cited by 159 publications

(92 citation statements)

References 115 publications

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“…Special considerations should include assessment of level of nicotine dependence, which is associated with difficulty in quitting and relapse (149). Although some patients may gain weight in the period shortly after smoking cessation (150), recent research has demonstrated that this weight gain does not diminish the substantial CVD benefit realized from smoking cessation (151). One study in smokers with newly diagnosed type 2 diabetes found that smoking cessation was associated with amelioration of metabolic parameters and reduced blood pressure and albuminuria at 1 year (152).…”

Section: Diabetic Kidney Diseasementioning

confidence: 99%

4. Lifestyle Management:Standards of Medical Care in Diabetes—2018

2017

Diabetes Care

482

232

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The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA’s clinical practice recommendations, please refer to the Standards of Care Introduction. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

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Section: Diabetic Kidney Diseasementioning

confidence: 99%

4. Lifestyle Management:Standards of Medical Care in Diabetes—2018

2017

Diabetes Care

482

232

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“…Several studies have reported an increase in weight after smoking cessation [119,120]. A prospective study Inter99 (1-year follow-up) investigated changes in WC after smoking cessation.…”

Section: Smokingmentioning

confidence: 99%

Epidemiology of Abdominal Obesity

Olinto¹,

Theodoro²,

Canuto³

2017

Adiposity - Epidemiology and Treatment Modalities

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Abdominal obesity (AO) is associated with endothelial dysfunction, inflammation, insulin resistance, diabetes mellitus, hypercholesterolemia, metabolic syndrome, and cancer. AO is a multifactorial disorder arising from genetic, environmental, socioeconomic, and behavioral factors. Thus, in this chapter, we devote ourselves to the exercise of trying to explain the epidemiology of AO in adults. We showed the increasing prevalence of AO around the world, and a gender difference in this determination was observed. Among women, the population group who is the most affected by AO, a higher prevalence of AO is observed in individuals living in low-or middle-income countries (LMIC), who are older, multiparous, and in the menopausal transition, and who belong to the poorest strata and have lower educational level. While among men, the risk of AO is positively associated with socioeconomic status, particularly in LMIC. Regarding behavioral factors (eating frequency, sleep duration, physical activity, and smoking), gender differences are difficult to be detected due to the lack of studies investigating their association with AO according to sex. However, the current evidence suggests that men benefit more from consuming a greater number of meals a day and women are more affected by the harmful effects of physical inactivity. We argued AO, despite biological conditions associated with behavior factors, should be examined as an important issue of gender inequality in health, possibly mediated by socioeconomic and behavioral differences between men and women.

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“…Tian ve ark. [38] ise sigarayı bırakanların vücut ağırlığında artış olduğunu belirtmişlerdir. Türkiye'de hafif şişmanlık ve obezite prevalansını irdeleyen bir derlemede de sigara bırakmanın obezite ile ilişkili risk faktörleri arasında yer aldığı vurgulanmıştır [7].…”

Section: Discussionunclassified

Obesity prevalence and related risk factors in women who apply to nutrition and diet clinic in Izmir

Kaner¹,

Kürklü²,

Adigüzel³

et al. 2017

Pau Med J

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ÖzetAmaç:Bu araştırmanın amacı, diyet polikliniğe başvuran 20-49 yaş arası kadınlarda obezite prevalansının ve ilişkili risk faktörlerinin saptanmasıdır. Gereç ve yöntem:Bu araştırma, diyet polikliniğine başvuran 1117 kadın ile yürütülmüştür. Kadınların vücut ağırlıkları ve boy uzunlukları ölçülerek beden kütle indeksleri hesaplanmış, vücut bileşimi biyoelektrik impedans analizi ile değerlendirilmiş, bel çevresi ölçümü yapılmış ve bel/boy oranı hesaplanmıştır. Bireylerin fiziksel aktivite durumunun belirlenmesi için, bireylerin fiziksel aktivite kayıtlarından yararlanılmıştır. Ayrıca,obeziteyi etkileyebileceği düşünülen değişkenlerin BKİ ile ilişkisi değerlendirilmiştir. Bulgular:Kadınların %71. 3'ünün obez olduğu saptanmıştır.Artan yaş, eğitim düzeyinin düşük olması ve evli olma obezite oranını arttırmaktadır. Dört ve üzerinde doğum yapan kadınların tamamına yakını (%95. 0) obezdir. Beş kişiden daha kalabalık bir ailede yaşayan kadınlarda obezite oranı, beş kişiden az bir ailede yaşayanlara göre anlamlı olarak daha yüksektir. Ayrıca, sigarayı bırakan (%83. 3) ve sedanter (%85.1) olan kadınların büyük çoğunluğunda obezite mevcuttur. Sonuç:Diyet polikliniğine başvuran yaklaşık her dört kadından üçü obezdir. Obezite için saptanan en önemli risk faktörleri; artan yaş, düşük eğitim düzeyi, evli olma, 4 ve üzerinde doğum yapma, beş kişiden daha kalabalık bir ailede yaşama ve sedanter olma olarak belirlenmiştir. Pam Tıp Derg 2017;10(3):250-257Anahtar sözcükler:Obezite, beden kitle indeksi, bel çevresi, sosyoekonomik faktörler. AbstractPurpose:To assess the prevalence of obesity and its risk factors in 20-49 year old women who admitted to diet clinic. Materials and methods:This study was carried out with 1117 women. Body Mass Index was calculated by the formula: body weight/height (kg/m²), body composition was assessed by bioelectrical impedance analysis; waist circumference was measured and waist/height ratio was calculated. For determining the physical activity status of individuals, individual physical activity records were investigated. In addition, the variables associated with obesity were assessed in relation to BMI. Results:A total of 71.3% women were obese. Increased age, low education levels, and being married were the factors which increase the rate of obesity. Nearly all of the women (95%) who had ≥4 parity were obese.When compared to women who lives in a family more than five people,obesity rate was significantly higher in women who lives in a family less than five people.In addition, majority of women who quit smoking (83.3%) or have a sedentary life-style (85.1%) were obese. Conclusion:Approximately, three out of four women is obese who applied to the diet clinic. The most important risk factors of obesity are increased age, low educational level, being married, having ≥4 parity, living in a family more than five people and having sedentary lifestyle.Pam Med J 2017;10(3):250-257

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The association between quitting smoking and weight gain: a systemic review and meta‐analysis of prospective cohort studies

Cited by 159 publications

References 115 publications

4. Lifestyle Management:Standards of Medical Care in Diabetes—2018

4. Lifestyle Management:Standards of Medical Care in Diabetes—2018

Epidemiology of Abdominal Obesity

Obesity prevalence and related risk factors in women who apply to nutrition and diet clinic in Izmir

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