The Profiling of Diet and Physical Activity in Reproductive Age Women and Their Association with Body Mass Index.
Ontology highlight
ABSTRACT:
SUBMITTER: Awoke MA
PROVIDER: S-EPMC9268133 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:To evaluate the cross-sectional relationship between migraine and pregravid obesity; and to assess the risk of adult weight gain among women with history of a pediatric diagnosis of migraine.Obesity, comorbid with pain disorders including migraine, shares common pathophysiological characteristics including systemic inflammation, and derangements in adipose-tissue derived cytokines. Despite biochemical and epidemiological commonalities, obesity-migraine associations have been inconsistently observed.A cohort of 3733 women was interviewed during early pregnancy. We ascertained participants' self-reported history of physician-diagnosed migraine and collected self-reported information about pregravid weight, adult height, and net weight change from age 18 to the 3-months period before pregnancy. Using pregravid body mass index, we categorized participants as follows: lean (< 18.5 kg/m²), normal (18.5-24.9 kg/m²), overweight (25-29.9 kg/m²), obese (30-34.9 kg/m²), severely obese (35-39.9 kg/m²), and morbidly obese (? 40 kg/m²). Logistic regression procedures were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs).After adjusting for confounders, relative to normal weight women, obese women had a 1.48-fold increased odds of migraine (OR = 1.48; 95% CI 1.12-1.96). Severely obese (OR = 2.07; 95% CI 1.27-3.39) and morbidly obese (OR = 2.75; 95% CI 1.60-4.70) had the highest odds of migraines. Women with a history of diagnosed pediatric migraine had a 1.67-fold higher odds of gaining ? 10.0 kg above their weight at age 18, as compared with non-migraineurs (OR = 1.67; 95% CI 1.13-2.47).These data support earlier observations of migraine-obesity association among women, and extend the literature to include evidence of adult weight gain among women with a history of pediatric migraine.
| S-EPMC3187699 | biostudies-literature
Project description:ObjectivesTo explore the relationship between body mass index and varicocele, the range of body mass index that leads to increased odds of varicocele, and the association between body mass index with the position and grade of varicocele.MethodsWe conducted a cross-sectional study of 211 989 Chinese males aged 18-65 years participated in the National Free Pre-conception Check-up Projects from January 2013 to December 2018. Univariate and multivariate logistic regression models were constructed to assess the association between body mass index and varicocele.ResultsOverweight and obese males had 13.1% (odds ratio 0.869, 95% confidence interval 0.838-0.902) and 32.3% (odds ratio 0.677, 95% confidence interval 0.632-0.725) lower odds of varicocele than those with normal body mass index, respectively. The association between them was non-linear, and males with body mass index of 17.74 to 23.09 kg/m2 had an increased odds of varicocele. The overweight and obese males had lower odds of left and bilateral varicocele, but the right varicocele odds was increased by 63.3% in obese males.ConclusionBody mass index was associated with the odds of varicocele among reproductive-age males, but the odds varied by position. The effects of weight management and varicocele on fertility should be taken into account in fertility guidance.
| S-EPMC9546267 | biostudies-literature
Project description:IntroductionOne of the known determinants of obesity in Southeast Asia countries, including Indonesia, is the nutritional transition, which is indicated by fast changes in food production, dietary habits, and physical activity. With rising incomes, plant protein from grains, tubers, and legumes is gradually being replaced by animal protein from poultry, eggs, dairy, and red meat. This change is identified as a protein transition. Different choices of protein sources in the diet have varying health effects. However, there is limited information on the Asian population on the role of protein consumption on the increasing obesity prevalence. Therefore, this study aimed to investigate the association of protein sources consumption with body mass index (BMI) among women of reproductive age in Indonesia.MethodsThis study used secondary data from the 2018 Indonesia Food Barometer (IFB) conducted using a quantitative cross-sectional survey. A total of 467 Indonesian reproductive-aged women (20-49 years) were included in this study. Dietary intake, including protein consumption, was obtained using 24-h dietary recall. Multiple linear regression was applied to find the association of protein consumption with BMI with a p-value <0.05 considered as a significant outcome variable.ResultsThe Mean BMI was 25.02 kg/m2, median of animal and plant protein was 28.01 g/day and 25.37 g/day, respectively. Consumption of plant protein was significantly associated with BMI after adjusting for marital status and age (p-value = 0.043; R2 = 0.080). The quality of plant protein should be considered to prevent obesity problems among women of reproductive age.
| S-EPMC10622764 | biostudies-literature
Project description:ObjectiveTo help determine whether midlife obesity is a cause of dementia and whether low body mass index (BMI), low caloric intake, and physical inactivity are causes or merely consequences of the gradual onset of dementia by recording these factors early in a large 20-year prospective study and relating them to dementia detection rates separately during follow-up periods of <5, 5 to 9, 10 to 14, and 15+ years.MethodsA total of 1,136,846 UK women, mean age 56 (SD 5) years, were recruited in 1996 to 2001 and asked about height, weight, caloric intake, and inactivity. They were followed up until 2017 by electronic linkage to National Health Service records, detecting hospital admissions with mention of dementia. Cox regression yielded adjusted rate ratios (RRs) for first dementia detection during particular follow-up periods.ResultsFifteen years after the baseline survey, only 1% were lost to follow-up, and 89% remained alive with no detected dementia, of whom 18,695 had dementia detected later, at a mean age of 77 (SD 4) years. Dementia detection during years 15+ was associated with baseline obesity (BMI 30+ vs 20-24 kg/m2: RR 1.21, 95% confidence interval 1.16-1.26, p < 0.0001) but not clearly with low BMI, low caloric intake, or inactivity at baseline. The latter 3 factors were associated with increased dementia rates during the first decade, but these associations weakened substantially over time, approaching null after 15 years.ConclusionsMidlife obesity may well be a cause of dementia. In contrast, behavioral changes due to preclinical disease could largely or wholly account for associations of low BMI, low caloric intake, and inactivity with dementia detection during the first decade of follow-up.
| S-EPMC6988985 | biostudies-literature
Project description:ImportanceThe association between increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and risk of breast cancer is unique in cancer epidemiology in that a crossover effect exists, with risk reduction before and risk increase after menopause. The inverse association with premenopausal breast cancer risk is poorly characterized but might be important in the understanding of breast cancer causation.ObjectiveTo investigate the association of BMI with premenopausal breast cancer risk, in particular by age at BMI, attained age, risk factors for breast cancer, and tumor characteristics.Design, setting, and participantsThis multicenter analysis used pooled individual-level data from 758?592 premenopausal women from 19 prospective cohorts to estimate hazard ratios (HRs) of premenopausal breast cancer in association with BMI from ages 18 through 54 years using Cox proportional hazards regression analysis. Median follow-up was 9.3 years (interquartile range, 4.9-13.5 years) per participant, with 13?082 incident cases of breast cancer. Participants were recruited from January 1, 1963, through December 31, 2013, and data were analyzed from September 1, 2013, through December 31, 2017.ExposuresBody mass index at ages 18 to 24, 25 to 34, 35 to 44, and 45 to 54 years.Main outcomes and measuresInvasive or in situ premenopausal breast cancer.ResultsAmong the 758?592 premenopausal women (median age, 40.6 years; interquartile range, 35.2-45.5 years) included in the analysis, inverse linear associations of BMI with breast cancer risk were found that were stronger for BMI at ages 18 to 24 years (HR per 5 kg/m2 [5.0-U] difference, 0.77; 95% CI, 0.73-0.80) than for BMI at ages 45 to 54 years (HR per 5.0-U difference,?0.88; 95% CI, 0.86-0.91). The inverse associations were observed even among nonoverweight women. There was a 4.2-fold risk gradient between the highest and lowest BMI categories (BMI?35.0 vs <17.0) at ages 18 to 24 years (HR, 0.24; 95% CI, 0.14-0.40). Hazard ratios did not appreciably vary by attained age or between strata of other breast cancer risk factors. Associations were stronger for estrogen receptor-positive and/or progesterone receptor-positive than for hormone receptor-negative breast cancer for BMI at every age group (eg, for BMI at age 18 to 24 years: HR per 5.0-U difference for estrogen receptor-positive and progesterone receptor-positive tumors, 0.76 [95% CI, 0.70-0.81] vs hormone receptor-negative tumors, 0.85 [95% CI: 0.76-0.95]); BMI at ages 25 to 54 years was not consistently associated with triple-negative or hormone receptor-negative breast cancer overall.Conclusions and relevanceThe results of this study suggest that increased adiposity is associated with a reduced risk of premenopausal breast cancer at a greater magnitude than previously shown and across the entire distribution of BMI. The strongest associations of risk were observed for BMI in early adulthood. Understanding the biological mechanisms underlying these associations could have important preventive potential.
| S-EPMC6248078 | biostudies-literature
Project description:With the increase in the number of cancer patients worldwide in the coming years, the need for knowledge on the influence of lifestyle factors on cancer survival is increasing. In this paper, the current knowledge on diet, body mass index, and physical activity in relation to cancer outcome is summarized. Also, challenges are identified to be addressed to provide evidence-based recommendations for cancer patients. Studies in patients with breast, colorectal, or prostate cancer show that the influence of dietary factors on survival remains to be determined. Adiposity and a lack of physical activity, however, appear to influence cancer outcome negatively. Subsequent studies should focus on more detailed aspects of these lifestyle factors, such as body composition and dose of exercise, and on the timing with respect to diagnosis and treatment. Research should be directed toward investigating diet and physical activity simultaneously and on how changes in health behavior can be established.
| S-EPMC3873012 | biostudies-literature
Project description:Research from recent years indicates a problem of excessive body weight among soldiers, who, due to the kind of work carried out, should possess good health and fitness levels. The aim of the study was to determine the association between diet and physical activity and the nutritional status of soldiers of the Polish Air Cavalry Units. One hundred and twenty male soldiers (aged 28 ± 5 years) completed a questionnaire (food frequency questionnaire, long-form International Physical Activity Questionnaire). Body composition was determined by bioelectrical impedance analysis, and bone calcification of the forearm was assessed by the DXA (Dual Energy X-ray Absorptiometry) densitometric method. This study confirmed the association between both the diet and physical activity and body mass index (BMI), fat mass index (FMI), and bone mineral density (BMD) expressed as T-score. Significant negative correlations were found between BMI and the frequency of consumption of cereal products, meat products and fish, and nonalcoholic beverages, between FMI and cereal products, and between BMD T-score and meat products and fish, fat, nuts, and grains, sweets and snacks, and nonalcoholic beverages. Physical activity expressed as metabolic equivalent (MET-minutes/week) negatively correlated with FMI (but not BMI) and positively correlated with the BMD T-score. This study confirmed numerous irregularities in eating behavior and in nutritional status indices; therefore, there is a need for nutritional education and further monitoring of both dietary behaviors and nutritional status of soldiers.
| S-EPMC7019523 | biostudies-literature
Project description:BackgroundThe workplace is an important domain for adults, and many effective interventions targeting physical activity and weight reduction have been implemented in the workplace. However, the U.S. workforce is aging, and few studies have examined the relationship of BMI, physical activity, and age as they relate to workplace characteristics.PurposeThis paper reports on the distribution of physical activity and BMI by age in a population of hospital-based healthcare workers and investigates the relationships among workplace characteristics, physical activity, and BMI.MethodsData from a survey of patient care workers in two large academic hospitals in the Boston area were collected in late 2009 and analyzed in early 2013.ResultsIn multivariate models, workers reporting greater decision latitude (OR=1.02, 95% CI=1.01, 1.03) and job flexibility (OR=1.05, 95% CI=1.01, 1.10) reported greater physical activity. Overweight and obesity increased with age (p<0.01), even after adjusting for workplace characteristics. Sleep deficiency (OR=1.56, 95% CI=1.15, 2.12) and workplace harassment (OR=1.62, 95% CI=1.20, 2.18) were also associated with obesity.ConclusionsThese findings underscore the persistent impact of the work environment for workers of all ages. Based on these results, programs or policies aimed at improving the work environment, especially decision latitude, job flexibility, and workplace harassment should be included in the design of worksite-based health promotion interventions targeting physical activity or obesity.
| S-EPMC4007484 | biostudies-literature
Project description:ObjectivesWe sought to quantify the relationship between body mass index (BMI) and physical function among endometrial cancer survivors. Understanding this relationship would help healthcare providers target efforts to refer obese endometrial cancer survivors to weight loss and exercise interventions.MethodsWe conducted a survey of 213 endometrial cancer survivors who received cancer care at an academic l health system between 2006 and 2010. Physical function subscale was quantified using physical functional component score from the SF-12 questionnaire. We compared physical function of endometrial cancer survivors to population-based age-standardized normative values.ResultsAmong the 213 patients, 16% were normal weight (BMI ≤25 kg/m2), and 52% were obese (≥30 kg/m2). Higher BMI categories were associated with lower physical function (Ptrend = 0.003), as a continuous variable each 5kg/m2 higher BMI, physical function score was lower by 0.15 points (β = -0.15; P = 0.045). Compared to population-based age-standardized normative values, patients <75yrs reported lower physical function, whereas patients ≥75yrs reported better physical function. BMI was the only covariate associated with differences in physical function between survivors and age-standardized normative values (P = 0.039).ConclusionsAmong endometrial cancer survivors, higher BMI is associated with lower physical function. Younger endometrial cancer survivors report lower physical function compared to age-standardized normative values. Healthcare providers should be aware that younger, obese endometrial cancer survivors may particularly benefit from interventions such as exercise and weight loss to increase or preserve physical function.
| S-EPMC4986945 | biostudies-literature
Project description:In a cross-sectional approach, we analyzed the influence of age, sex, body mass index (BMI), smoking, and education on salivary protein signatures in whole saliva samples of 187 individuals. Subjects were randomly selected from the population-based Study of Health in Pomerania (SHIP-Trend).
2017-05-16 | PXD006367 | Pride