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Association between body mass index and fragility fracture in postmenopausal women: a cross-sectional study using Korean National Health and Nutrition Examination Survey 2008-2009 (KNHANES IV).
Kim, J, Lee, S, Kim, SS, Lee, JP, Kim, JS, Jung, JG, Yoon, SJ, Kim, KP, Park, CK, Kim, YH
BMC women's health. 2021;21(1):60
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Osteoporosis is a musculoskeletal disorder characterized by a decrease in bone density and abnormal changes in bone microstructure. It is one of the most common diseases in postmenopausal women. Additionally, postmenopausal women exhibit a 20% increase in fat mass, especially in central adiposity. The aim of this study was to investigate the relationship between body mass index and fragility fractures in postmenopausal Korean women. This study is a cross-sectional study based on the Korean National Health and Nutrition Examination Survey which is a statutory survey addressing the health behaviour, prevalence of chronic disease, and food and nutrition intake of Korean individuals. Out of the total registered women, 2114 were included as the final participant group. Results indicate that in both the underweight and obese groups, the fragility fracture rates were 5.48 and 3.33 times higher, respectively, compared with the normal weight group. Thus, these findings show that postmenopausal women who were underweight or obese exhibited higher rates of fragility fracture(s). Authors conclude that even though this study showed the impact of the body mass index, further research is required since there are various factors that affect fragility fractures.
Abstract
BACKGROUND The present study examined the relationship between body mass index (BMI) and the risk for fragility fractures in postmenopausal Korean women. METHODS Among subjects who participated in the 4th Korea National Health and Nutrition Examination Survey (2008-2009), 2114 women ≥ 40 years of age were included. BMI was based on standards set by the Korean Society for the Study of Obesity, as follows: < 18.5 kg/m2, underweight; 18.5 ≤ to < 25 kg/m2, normal weight; and ≥ 25 kg/m2, obese. Subjects were also divided into three groups according to the location of fragility fracture: spine, hip, or wrist. RESULTS The mean (± SD) rate of fragility fracture was significantly different among the three groups: 5.9 ± 2.9% (underweight), 1.1 ± 0.3% (normal weight), and 3.0 ± 0.7% (obese) (p = 0.001). After correcting for age, family history, and treatment history of osteoporosis and rheumatoid arthritis, smoking and drinking status, and level of exercise, multivariable regression analysis revealed that the odds ratio for fragility fracture in the underweight group was 5.48 [95% confidence interval (CI) 1.80-16.73] and 3.33 (95% CI 1.61-6.87) in the obese group. After subdividing fragility fractures into vertebral and non-vertebral, the odds ratio for vertebral fracture in the underweight group was 5.49 (95% CI 1.31-23.09) times higher than that in the normal weight group; in the obese group, the non-vertebral fracture odds ratio was 3.87 (95% CI 1.45-10.33) times higher. Analysis of non-vertebral fractures in the obese group revealed an odds ratio for fracture 22.05 (95% CI 1.33-365.31) times higher for hip fracture and 3.85 (95% CI 1.35-10.93) times higher for wrist fracture. CONCLUSIONS Obesity and underweight increased the risk for fragility fractures in postmenopausal Korean women.
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A systematic review and meta-analysis of school-based interventions with health education to reduce body mass index in adolescents aged 10 to 19 years.
Jacob, CM, Hardy-Johnson, PL, Inskip, HM, Morris, T, Parsons, CM, Barrett, M, Hanson, M, Woods-Townsend, K, Baird, J
The international journal of behavioral nutrition and physical activity. 2021;18(1):1
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Obesity in childhood and adolescence is associated with an increased risk of non-communicable diseases such as Type 2 diabetes, cardiovascular disease, chronic obstructive lung disease and some forms of cancer. The aim of this study was to investigate the effectiveness of health education interventions delivered in school settings to prevent overweight and obesity and/ or reduce BMI in adolescents, and to explore the key features of effectiveness. This study is a systematic review and meta-analysis of 39 publications based on 33 studies. Six studies recruited adolescent girls only, one adolescent boys only and one study included parent-student dyad. Results show that: - Most of the effective interventions were delivered by teachers who were trained prior to the intervention. - School-based interventions are often delivered through school-staff, however, appropriate training/ CPD prior to the intervention could be a crucial component to support the provision and uptake of the intervention. - Many of the effective interventions included parental involvement and modifications to the school environment. - Interventions should target the biological, psychosocial, environmental, and behavioural influences on diet and physical activity. Authors conclude that school-based health education interventions could potentially help in improving BMI outcomes in the adolescent age group.
Abstract
BACKGROUND Adolescents are increasingly susceptible to obesity, and thus at risk of later non-communicable diseases, due to changes in food choices, physical activity levels and exposure to an obesogenic environment. This review aimed to synthesize the literature investigating the effectiveness of health education interventions delivered in school settings to prevent overweight and obesity and/ or reduce BMI in adolescents, and to explore the key features of effectiveness. METHODS A systematic search of electronic databases including MEDLINE, CINAHL, PsychINFO and ERIC for papers published from Jan 2006 was carried out in 2020, following PRISMA guidelines. Studies that evaluated health education interventions in 10-19-year-olds delivered in schools in high-income countries, with a control group and reported BMI/BMI z-score were selected. Three researchers screened titles and abstracts, conducted data extraction and assessed quality of the full text publications. A third of the papers from each set were cross-checked by another reviewer. A meta-analysis of a sub-set of studies was conducted for BMI z-score. RESULTS Thirty-three interventions based on 39 publications were included in the review. Most studies evaluated multi-component interventions using health education to improve behaviours related to diet, physical activity and body composition measures. Fourteen interventions were associated with reduced BMI/BMI z-score. Most interventions (n = 22) were delivered by teachers in classroom settings, 19 of which trained teachers before the intervention. The multi-component interventions (n = 26) included strategies such as environment modifications (n = 10), digital interventions (n = 15) and parent involvement (n = 16). Fourteen studies had a low risk of bias, followed by 10 with medium and nine with a high risk of bias. Fourteen studies were included in a random-effects meta-analysis for BMI z-score. The pooled estimate of this meta-analysis showed a small difference between intervention and control in change in BMI z-score (- 0.06 [95% CI -0.10, - 0.03]). A funnel plot indicated that some degree of publication bias was operating, and hence the effect size might be inflated. CONCLUSIONS Findings from our review suggest that school-based health education interventions have the public health potential to lower BMI towards a healthier range in adolescents. Multi-component interventions involving key stakeholders such as teachers and parents and digital components are a promising strategy.
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The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia.
Correa-Rodríguez, M, Mansouri-Yachou, JE, Casas-Barragán, A, Molina, F, Rueda-Medina, B, Aguilar-Ferrandiz, ME
Nutrients. 2019;11(5)
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Fibromyalgia is a long-term condition causing symptoms such as widespread pain, fatigue, trouble sleeping and problems with memory and concentration. The purpose of this study was to examine the relationships between body mass index (BMI), body composition and fibromyalgia symptoms. 73 women with fibromyalgia and 73 healthy controls, matched on weight, were included in this cross-sectional study. Women with a higher BMI had more severe symptoms of fibromyalgia. Fat mass and visceral fat were associated with poorer quality sleep. The study’s authors concluded that promoting an ideal BMI may help to reduce some of the symptoms for women with fibromyalgia.
Abstract
The link between fibromyalgia syndrome (FMS) and obesity has not been thoroughly investigated. The purpose of this study was to examine the relationships among body mass index (BMI) and body composition parameters, including fat mass, fat mass percentage, and visceral fat, as well as FMS features, such as tender point count (TPC), pain, disease activity, fatigue, sleep quality, and anxiety, in a population of FMS women and healthy controls. A total of seventy-three women with FMS and seventy-three healthy controls, matched on weight, were included in this cross-sectional study. We used a body composition analyzer to measure fat mass, fat mass percentage, and visceral fat. Tender point count (TPC) was measured by algometry pressure. The disease severity was measured with the Fibromyalgia Impact Questionnaire (FIQ-R) and self-reported global pain was evaluated with the visual analog scale (VAS). To measure the quality of sleep, fatigue, and anxiety we used the Pittsburgh Sleep Quality Questionnaire (PSQI), the Spanish version of the multidimensional fatigue inventory (MFI), and the Beck Anxiety Inventory (BAI), respectively. Of the women in this study, 38.4% and 31.5% were overweight and obese, respectively. Significant differences in FIQ-R.1 (16.82 ± 6.86 vs. 20.66 ± 4.71, p = 0.030), FIQ-R.3 (35.20 ± 89.02 vs. 40.33 ± 5.60, p = 0.033), and FIQ-R total score (63.87 ± 19.12 vs. 75.94 ± 12.25, p = 0.017) among normal-weight and overweight FMS were observed. Linear analysis regression revealed significant associations between FIQ-R.2 (β(95% CI)= 0.336, (0.027, 0.645), p = 0.034), FIQ-R.3 (β(95% CI)= 0.235, (0.017, 0.453), p = 0.035), and FIQ-R total score (β(95% CI)= 0.110, (0.010, 0.209), p = 0.032) and BMI in FMS women after adjusting for age and menopause status. Associations between sleep latency and fat mass percentage in FMS women (β(95% CI)= 1.910, (0.078, 3.742), p = 0.041) and sleep quality and visceral fat in healthy women (β(95% CI)= 2.614, (2.192, 3.036), p = 0.008) adjusted for covariates were also reported. The higher BMI values are associated with poor FIQ-R scores and overweight and obese women with FMS have higher symptom severity. The promotion of an optimal BMI might contribute to ameliorate some of the FMS symptoms.