The Association between Body Mass Index and Hot Flash in Midlife Women: A Meta-analysis
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Objectives: The association between body mass index (BMI) and hot flash risk has not been specifically clarifies yet. This meta-analysis was, therefore, conducted to estimate the association between overweight and obesity and hot flash risk.Methods: We searched PubMed, Web of Science, and Scopus for observational studies addressing the association between BMI and hot flash until August 2015. Data were independently extracted and analyzed using 95% odds ratio (OR), and confidence intervals (CI) based on the random-effects models. Results: We identified 2,244 references and conducted seven studies with 4,219 participants. The association between hot flash and overweight was estimated 1.13 (95% CI: 0.97-1.32) and that of obesity was estimated 1.79 (95% CI: 1.52-2.11). No evidence of heterogeneity and publication bias was observed.Conclusion: This meta-analysis demonstrated that, though not to a great extent, obesity does increase the risk of hot flash. The findings from this meta-analysis indicated that obesity is associated with an increased risk of hot flash. Further large prospective cohort studies are required to provide convincing evidence as to whether or not BMI is associated with an increased risk of hot flashes. (J Menopausal Med 2016;22:14-19)
Abstract
Objectives: The association between body mass index (BMI) and hot flash risk has not been specifically clarifies yet. This meta-analysis was, therefore, conducted to estimate the association between overweight and obesity and hot flash risk.Methods: We searched PubMed, Web of Science, and Scopus for observational studies addressing the association between BMI and hot flash until August 2015. Data were independently extracted and analyzed using 95% odds ratio (OR), and confidence intervals (CI) based on the random-effects models. Results: We identified 2,244 references and conducted seven studies with 4,219 participants. The association between hot flash and overweight was estimated 1.13 (95% CI: 0.97-1.32) and that of obesity was estimated 1.79 (95% CI: 1.52-2.11). No evidence of heterogeneity and publication bias was observed.Conclusion: This meta-analysis demonstrated that, though not to a great extent, obesity does increase the risk of hot flash. The findings from this meta-analysis indicated that obesity is associated with an increased risk of hot flash. Further large prospective cohort studies are required to provide convincing evidence as to whether or not BMI is associated with an increased risk of hot flashes. (J Menopausal Med 2016;22:14-19)
참고문헌 (25)
- Whiteman MK, "Risk factors for hot flashes in midlife women", J Womens Health (Larchmt), 12, pp.459~472 (2003)
- Tan MN, "The effect of physical activity and body mass index on menopausal symptoms in Turkish women: a cross-sectional study in primary care", BMC Womens Health, 14, pp.38~ (2014)
- Freeman EW, "Prevalence of hot flushes and night sweats around the world: a systematic review", Climacteric, 10, pp.197~214 (2007)
- Gallicchio L, "Risk factors for hot flashes among women undergoing the menopausal transition: baseline results from the Midlife Women's Health Study", Menopause, 22, pp.1098~1107 (2015)
- Gold EB, "Lifestyle and demographic factors in relation to vasomotor symptoms: baseline results from the Study of Women's Health Across the Nation", Am J Epidemiol, 159, pp.1189~1199 (2004)
- Schilling C, "Relation of body mass and sex steroid hormone levels to hot flushes in a sample of mid-life women", Climacteric, 10, pp.27~37 (2007)
- Whiteman MK, "Smoking, body mass, and hot flashes in midlife women", Obstet Gynecol, 101, pp.264~272 (2003)
- Miller SR, "Association between race and hot flashes in midlife women", Maturitas, 54, pp.260~269 (2006)
- Freeman EW, "Hot flashes in the late reproductive years: risk factors for Africa American and Caucasian women", J Womens Health Gend Based Med, 10, pp.67~76 (2001)
- Gallicchio L, "Change in body mass index, weight, and hot flashes: a longitudinal analysis from the midlife women's health study", J Womens Health (Larchmt), 23, pp.231~237 (2014)
- Gallicchio L, "Body mass, estrogen levels, and hot flashes in midlife women", Am J Obstet Gynecol, 193, pp.1353~1360 (2005)
- Bauman WA, "31st g. Heiner sell lectureship: secondary medical consequences of spinal cord injury", Top Spinal Cord Inj Rehabil, 18, pp.354~378 (2012)
- Higgins JP, "Measuring inconsistency in meta-analyses", BMJ, 327, pp.557~560 (2003)
- Egger M, "Bias in meta-analysis detected by a simple, graphical test", BMJ, 315, pp.629~634 (1997)
- Begg CB, "Operating characteristics of a rank correlation test for publication bias", Biometrics, 50, pp.1088~1101 (1994)
- DerSimonian R, "Meta-analysis in clinical trials", Control Clin Trials, 7, pp.177~188 (1986)
- Gallicchio L, "Cigarette smoking, estrogen levels, and hot flashes in midlife women", Maturitas, 53, pp.133~143 (2006)
- Gordis L, "Epidemiology: with STUDENT CONSULT online access" (2014), Saunders
- Klinga K, "Influence of severe obesity on peripheral hormone concentrations in pre- and postmenopausal women", Eur J Obstet Gynecol Reprod Biol, 15, pp.103~112 (1983)
- Rice VM, "Tumour necrosis factor-alpha inhibits follicle-stimulating hormoneinduced granulosa cell oestradiol secretion in the human:dependence on size of follicle", Hum Reprod, 11, pp.1256~1261 (1996)
- Zachow RJ, "Direct intraovarian effects of leptin: impairment of the synergistic action of insulin-like growth factor-I on follicle-stimulating hormone-dependent estradiol-17 beta production by rat ovarian granulosa cells", Endocrinology, 138, pp.847~850 (1997)
- Thurston RC, "Abdominal adiposity and hot flashes among midlife women", Menopause, 15, pp.429~434 (2008)
- Avis NE, "Duration of menopausal vasomotor symptoms over the menopause transition", JAMA Intern Med, 175, pp.531~539 (2015)
- Szmuilowicz ED, "Menopausal vasomotor symptoms and cardiovascular disease", Menopause, 18, pp.345~347 (2011)
