scholarly journals Exercise for Smoking Cessation in Postmenopausal Women: A Randomized, Controlled Trial

2019 ◽  
Vol 22 (9) ◽  
pp. 1587-1595
Author(s):  
Cheryl Oncken ◽  
Sharon Allen ◽  
Mark Litt ◽  
Anne Kenny ◽  
Harry Lando ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Smoking Cessation ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Moderate Exercise ◽  
Exercise Condition ◽  
End Of Treatment ◽  
Relaxation Control ◽  
Over Time ◽  
Prolonged Abstinence

Abstract Background Postmenopausal smokers have difficulty quitting smoking and experience considerable weight gain with smoking cessation. We examined whether adjunctive smoking treatment with exercise, compared to a relaxation control condition, could improve cigarette abstinence, decrease cigarettes smoked per day (CPD), and ameliorate changes in body mass index (BMI) in postmenopausal smokers. Methods Women (N = 301) signed informed consent and were randomized to treatment at two sites (Universities of Connecticut and Minnesota). We randomized groups of participants to a comprehensive group treatment program that included 12 weeks of varenicline and either a moderate exercise or relaxation component for 6 months. Participants were followed for a year after medication treatment. Results Overall, 17.3% of patients reported carbon monoxide-verified continuous abstinence for the 9- to 12-week period, and 11.6% reported prolonged abstinence at 1 year, with no significant differences between treatment conditions. CPD reported at study visits showed significant main effects for time in weeks, for site, and for treatment. The Exercise condition reported smoking fewer CPD over time, and that advantage widened over time. In terms of BMI, significant effects for time in weeks, and for the interaction of Week × Treatment condition, reflected gradually increasing BMI in these women over time, but with the increase in BMI slower in the Exercise condition. Conclusions Exercise, compared to relaxation, was associated with a reduced BMI and CPD in postmenopausal women, but did not increase end of treatment or prolonged abstinence. Further research is needed to devise exercise programs that increase smoking cessation rates in postmenopausal women. Implications This study adds to the literature on the effectiveness of a moderate exercise intervention compared to a relaxation control condition as an adjunctive treatment for smoking cessation in postmenopausal women. Our exercise program did not increase end of treatment or prolonged abstinence rates in postmenopausal women; however, there was a beneficial effect on smoking reduction and reduced body mass index. Additional research is needed to devise exercise programs that increase smoking cessation rates in postmenopausal women.

Heritability of Longitudinal Measures of Body Mass Index and Lipid and Lipoprotein Levels in Aging Twins

2007 ◽  
Vol 10 (5) ◽  
pp. 703-711 ◽  
Author(s):  
Ellen L. Goode ◽  
Stacey S. Cherny ◽  
Joe C. Christian ◽  
Gail P. Jarvik ◽  
Mariza de Andrade
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Factors ◽  
Significant Proportion ◽  
Lipoprotein Cholesterol ◽  
Equation Modeling ◽  
Shared Environment ◽  
Significant Contributor ◽  
Age Related ◽  
Over Time

AbstractBody-mass index (BMI), total cholesterol (TC), lowdensity lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) levels are known to be highly heritable. We evaluated the genetic and environmental relationships of these measures over time in an analysis of twin pairs. Monozygotic (235 pairs) and dizygotic (260 pairs) male twins were participants in the National Heart Lung and Blood Institute Veteran Twin Study, and were followed with three clinical exams from mean age 48 years to mean age 63 years. Structural equation modeling (SEM) with adjustment forAPOEgenotype (a significant contributor to TC and LDL-C) was used to assess longitudinal patterns of heritability. Results indicated a contribution of genetic factors to BMI, TC, LDL-C, HLD-C, and TG. Modest increases over time were observed in the heritability of BMI (from 0.48 to 0.61), TC (from 0.46 to 0.57), LDL-C (from 0.49 to 0.64), and HDL-C (from 0.50 to 0.62), but this trend was not present for TG. There was a corresponding decrease in shared environmental influences over time for these traits, although shared environment was a significant contributor only for HDL-C. Moreover, we observed that genetic influences for all measures were significantly correlated over time, and we found no evidence of age-specific genetic effects. In summary, longitudinal analyses of twin data indicate that genetic factors do not account for a significant proportion of the variation in age-related changes of BMI or lipid and lipoprotein levels.

Analysis of Body Mass Index (BMI) Trends Among a Pediatric Dental Patient Population: A Pilot Study. (Preprint)

2021 ◽  
Author(s):  
Tengfei Su ◽  
Mac Jackson ◽  
Keaton Sacry ◽  
Karl Kingsley MPH
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Low Income ◽  
Patient Population ◽  
Pediatric Population ◽  
Primary Care Providers ◽  
Overweight And Obesity ◽  
Dental School ◽  
Care Providers ◽  
Over Time

BACKGROUND Over the past few decades, a growing trend of overweight and obesity has emerged among the pediatric population. This is a cause of significant concern as these are significantly correlated to other negative oral and systemic health outcomes over time. Although measurement of body mass index (BMI) is common among pediatric physicians and primary care providers, few studies have explored the feasibility of BMI measurement and analysis from pediatric dental providers. OBJECTIVE The primary objective of this study was to compile and analyze pediatric BMI measurements taken from a pediatric dental school patient population. METHODS This study was a retrospective analysis of previously collected data of pediatric patients between 2012 and 2019 (N=451), which was reviewed and approved by the Institutional Review Board (IRB). Descriptive statistics and trend analysis were compiled to determine the trends in pediatric BMI over time. RESULTS Nearly equal percentages of females and males were represented in the study (P=0.432), with the overwhelming majority identified as racial/ethnic minorities (84.5%), P=0.0075. These data revealed that pediatric BMI increased significantly from 25.6 in 2012 to 31.3 in 2018 (22.1%), P=0.031. No significant differences between males and females were observed (P=0.4824) or between minority and non-minority patients (P=0.8288). CONCLUSIONS This study provides significant novel temporal information regarding pediatric BMI among this low-income, minority patient population and highlights the need for expanding the dental school (and pediatric dental residency) curriculum to include more topics related to measuring and tracking overweight and obese children and the most appropriate methods for use in the pediatric dental office.

scholarly journals Association of Body Fat and Risk of Breast Cancer in Postmenopausal Women With Normal Body Mass Index

JAMA Oncology ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 155 ◽  
Author(s):  
Neil M. Iyengar ◽  
Rhonda Arthur ◽  
JoAnn E. Manson ◽  
Rowan T. Chlebowski ◽  
Candyce H. Kroenke ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Body Fat ◽  
Normal Body Mass Index ◽  
Normal Body

scholarly journals Correlation between Core Strength and Stability with Body Mass Index among Postmenopausal Women.

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
S Bhosale Komal ◽  
V Bhosale Siddhi ◽  
Anandh Dr. S
Keyword(s):  
Body Mass Index ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
P Value ◽  
Endurance Test ◽  
Core Strength ◽  
The Core ◽  
Flexion Test

Women in postmenopausal period of their life face various physical and physiological changes causing lack of estrogen and progesterone hormones, changes in the reproductive and genitals organs, vasomotor system in the body along with mood related symptoms such as anxiety, etc. Lifestyle, body fat distribution and anthropometric changes adds on to the bone strength in postmenopausal women. It may be a risk factor for osteoporotic fracture, cardiovascular, metabolic diseases, etc. Core strength and stability is greatly influenced by body composition and adiposity. The aim of the study was to correlate the core strength assessed with the Body Mass Index (BMI) among postmenopausal women. The objective of the study is to find the correlation between the core strength assessed with the Body Mass Index using 60° flexion test, Beiring Sorenson test and Unilateral Hip Bridge Endurance test among postmenopausal women with age ranging from 46-70 years. 96 healthy postmenopausal women in Karad city with a natural history of menopause were selected for the study. Based upon BMI values, the subjects were grouped as Underweight (<18.5 kg/m2), Normal weight (18.5-24.9 kg/m2), Overweight (25-29.9 kg/m2 and more). The outcome values for strength were correlated with the BMI of postmenopausal women. In the study, the Pearson correlation(r) was -0.361 and the P value was 0.0003 showing extremely significant correlation between the BMI and 60° Flexion test. For the Beiring Sorenson Test, the Pearson correlation value was -0.305 and the P value was 0.0025 showing very significant correlation between the BMI and Beiring Sorenson Test. Correlation of BMI and Unilateral Hip Bridge Endurance Test shows a Pearson Correlation value of -0.322 and the P value 0.0013 claiming very significant correlation between the BMI and Unilateral Hip Bridge Endurance Test. The study concludes that there is a significantly negative correlation between the core strength and stability with the Body Mass Index among postmenopausal women.

Snacking may improve dietary fiber density and is associated with a lower body mass index in postmenopausal women

Nutrition ◽  
2021 ◽  
Vol 83 ◽  
pp. 111063
Author(s):  
Aleksandra Skoczek-Rubińska ◽  
Agata Muzsik-Kazimierska ◽  
Agata Chmurzynska ◽  
Prof. Jarosław Walkowiak ◽  
Joanna Bajerska
Keyword(s):  
Body Mass Index ◽  
Postmenopausal Women ◽  
Dietary Fiber ◽  
Body Mass ◽  
Lower Body ◽  
Fiber Density ◽  
Lower Body Mass Index
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