Relationship quality and couples’ unhealthy behaviors predict body mass index in women

2018 ◽  
Vol 35 (2) ◽  
pp. 224-245 ◽  
Author(s):  
Jane A. Skoyen ◽  
Kelly E. Rentscher ◽  
Emily A. Butler
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Relationship Quality ◽  
Body Mass ◽  
Good Relationship ◽  
High Prevalence ◽  
Low Prevalence ◽  
Poor Relationship

Research on the connection between relationship quality and body weight yields mixed results, suggesting the presence of a moderating variable. We tested whether the connection between four measures of relationship quality (conflict, ambivalence, maintenance, and love) and body mass index (BMI) was moderated by gender and couples’ unhealthy behaviors. The results showed that among women, those reporting good relationship quality had lower BMI than those with poor relationship quality, but only if they also showed little evidence of couples’ unhealthy behaviors. In other words, only the combination of high relationship quality and low prevalence of couples’ unhealthy behaviors was linked to lower BMI among women. In contrast, low relationship quality, regardless of couples’ unhealthy behaviors, and the combination of high relationship quality and high prevalence of couples’ unhealthy behaviors were all linked to higher BMI among women. These associations were not observed among men. The results suggest the presence of symptom-system fit—a relational pattern linking health detrimental behaviors and higher relationship quality.

scholarly journals Effects of Triphala on Lipid and Glucose Profiles and Anthropometric Parameters: A Systematic Review

2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Mass ◽  
The Body ◽  
Current Evidence ◽  
Diabetic Patients ◽  
Anthropometric Parameters

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.

Association between parental and offspring’s body mass index: results from EPACI Portugal 2012

2021 ◽  
pp. 1-25
Author(s):  
Margarida Nazareth ◽  
Elisabete Pinto ◽  
Milton Severo ◽  
Carla Lopes ◽  
Carla Rêgo
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mixed Models ◽  
Portuguese Population ◽  
Transgenerational Transmission ◽  
Gestational Weight ◽  
Effective Interventions ◽  
Random Intercept ◽  
High Prevalence ◽  
Longitudinal Association

Abstract Objective: To assess the longitudinal association between parental body mass index (BMI) and offspring´s BMI, in EPACI Portugal 2012. Design: Longitudinal study with retrospective collection of children’s anthropometry data since birth. Children’s anthropometric data were gathered from individual child health bulletins and parents’ anthropometrics were self-reported. Children’s and parents’ BMI were classified according to WHO cut-offs. Linear mixed models with random intercept and slope for age were applied to quantify the association between parental BMI and children BMI Z-score (zBMI). Setting: EPACI Portugal 2012. Participants: Representative sample from the Portuguese population (n 2230) aged from 12 to 36 months. Results: 58.9% of the fathers and 35.6% of the mothers were overweight (OW) or obese. Prevalence of infants who were, at least, at risk of OW increased from 17.0% to 30.3% since birth to 12 months. About half of the mothers with pre-pregnancy OW and obesity (OB) gained gestational weight above the recommendations. The children from mothers with gestational weight gain (GWG) below the recommendations showed a -0.15 SD lower zBMI (95% confidence interval (CI): -0.23;-0.06) in early life, comparing with mothers within GWG recommendations. Children of obese mothers were more likely to present a higher zBMI (0.24 SD, 95%CI: 0.13;0.35) throughout the first months of life. Conclusion: A high prevalence of OW and OB was observed in Portuguese young adults and toddlers. Mothers’ pre-pregnancy BMI and insufficient GWG had a direct effect on offspring BMI. Early effective interventions are needed in order to prevent the transgenerational transmission of OB.

scholarly journals Correlation of Body Mass Index with Oncologic Outcomes in Colorectal Cancer Patients: A Large Population-Based Study

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3592
Author(s):  
Chong-Chi Chiu ◽  
Chung-Han Ho ◽  
Chao-Ming Hung ◽  
Chien-Ming Chao ◽  
Chih-Cheng Lai ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Survival Rates ◽  
Normal Weight ◽  
P Value ◽  
Administrative Claims ◽  
The Impact

It has been acknowledged that excess body weight increases the risk of colorectal cancer (CRC); however, there is little evidence on the impact of body mass index (BMI) on CRC patients’ long-term oncologic results in Asian populations. We studied the influence of BMI on overall survival (OS), disease-free survival (DFS), and CRC-specific survival rates in CRC patients from the administrative claims datasets of Taiwan using the Kaplan–Meier survival curves and the log-rank test to estimate the statistical differences among BMI groups. Underweight patients (<18.50 kg/m2) presented higher mortality (56.40%) and recurrence (5.34%) rates. Besides this, they had worse OS (aHR:1.61; 95% CI: 1.53–1.70; p-value: < 0.0001) and CRC-specific survival (aHR:1.52; 95% CI: 1.43–1.62; p-value: < 0.0001) rates compared with those of normal weight patients (18.50–24.99 kg/m2). On the contrary, CRC patients belonging to the overweight (25.00–29.99 kg/m2), class I obesity (30.00–34.99 kg/m2), and class II obesity (≥35.00 kg/m2) categories had better OS, DFS, and CRC-specific survival rates in the analysis than the patients in the normal weight category. Overweight patients consistently had the lowest mortality rate after a CRC diagnosis. The associations with being underweight may reflect a reverse causation. CRC patients should maintain a long-term healthy body weight.

scholarly journals Post-Kidney Transplant Visit-to-Visit Body Mass Index Variability as a Risk of Post-Transplant Systolic Hypertension

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1693-1693
Author(s):  
Ekamol Tantisattamo ◽  
Natnicha Leelaviwat ◽  
Natchaya Polpichai ◽  
Chawit Lopimpisuth ◽  
Sakditad Saowapa ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Kidney Transplant ◽  
Median Time ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Absolute Difference ◽  
Renal Transplant Recipients ◽  
Time To Event ◽  
Post Transplant

Abstract Objectives Overweight and obesity are associated with hypertension (HTN) in renal transplant recipients (RTR). Body weight variability is known to be associated with HTN and poor cardiovascular (CV) outcomes in diabetic patients. After successful kidney transplantation (KT), weight change is very common due partly to perioperative and immunological factors. Association between body weight variability and HTN in RTR is unknown. We hypothesize that high body weight variability is associated with post-transplant HTN. Methods Body weight variability of RTR from a single transplant center was assessed as visit-to-visit body mass index variability (VVBMIV) by using average successive variability (ASV = the average absolute difference between successive values of BMI measured at 4, 12, 24, 36, and 48 weeks after KT). Multi-variable Cox proportional hazard regression analysis was used to examine association between post-transplant VVBMIV and systolic and diastolic HTN (SHTN and DHTN), which are defined as SBP and DBP ≥130 and 80 mmHg, respectively. Results Of 104 RTR, mean ± SD age was 54.29 ± 11.65 years and 62% were female. The majority (36%) were obese followed by normal weight (33%), and overweight (31%). Incidence of SBP was 0.041 person-weeks and median time to event was 12.86 weeks; while the incidence of DBP was 0.036 person-weeks with a slightly longer median time-to-event of 13 weeks. Mean ASV of BMI was 1.26 ± 0.82 kg/m2 (0.47 to 2.18). Risk of SHTN is increased 32% for every 1 kg/m2 increase in VVBMIV (HR 1.32, 95%CI 1.04 to 1.68, P 0.022). After adjusted for age, gender, and their interaction terms, very 1 kg/m2 increase in VVBMIV is associated with a 29% greater risk of developing SHTN (HR 1.29, 95% CI 1.01 to 1.65, P 0.043). However, increase in VVBMIV is not associated with an increased risk of DHTN for both univariable (HR 1.15, 95%CI 0.88 to 1.49, P 0.308) and multi-variable Cox regressions models (HR 1.13, 95%CI 0.86 to 1.49, P 0.391). Conclusions Post-kidney transplant VVBMIV is independently associated post-transplant SHTN, but not DHTN. Further studies is needed to examine mechanism of body weight variability and blood pressure outcomes in RTR. Funding Sources None.

scholarly journals Relationship between Body Mass Index, Blood Pressure, and Visual Acuity in Residents of Esan West Local Government Area of Edo State, Nigeria

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
I. O. Ernest-Nwoke ◽  
M. O. Ozor ◽  
U. Akpamu ◽  
M. O. Oyakhire
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Visual Acuity ◽  
Body Weight ◽  
Local Government ◽  
Body Mass ◽  
Local Government Area ◽  
Cross Sectional ◽  
Snellen Chart ◽  
Edo State

Aim. To study the relationship between body mass index (BMI) and blood pressure (BP) on visual acuity among apparently healthy residents of Ekpoma, Esan West Local Government Area of Edo State, Nigeria. Methodology. This is a cross-sectional descriptive study among 225 subjects (ages of 18–35 years) from whom BP, body weight, and height were collected. Visual acuity was measured using the Snellen chart following standard procedures of number of letters seen at 6-metre distance. The data were then analyzed using SPSS version 17. Results. The sampled population consists of 112 male and 113 female (mean age 31.72±14.2 years). Majority (180) of the respondents had normal visual acuity. However, compared with the respondents with normal BMI (R19.61±1.5; L19.67±1.70), visual acuity of underweight (R18.53±2.30; L18.53±2.70) and obese (R15.68±4.79; L17.73±1.70) were more deviated. Similarly, compared with respondent with normal BP (120–125/80–85 mmHg; R18.00±2.53; L18.07±3.11), hypotensive (R15.5±7.35; L15.00±10.20), and hypertensive (R15.01±21.25; L15.00±11.91) respondents had deviated visual acuity. Conclusion. Abnormal body weight (underweight and obese) and BP (hypotension and hypertension) have potential negative impacts on visual acuity. Based on the observed relationship between weights, BP, and visual acuity, eye examinations can be included as regular screening exercise for abnormal BMI and BP conditions.

Association between efficacy and body weight or body mass index for two low-dose oral contraceptives

Contraception ◽  
2009 ◽  
Vol 79 (6) ◽  
pp. 424-427 ◽  
Author(s):  
Ronald T. Burkman ◽  
Alan C. Fisher ◽  
George J. Wan ◽  
Christopher E. Barnowski ◽  
Katherine D. LaGuardia
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Oral Contraceptives ◽  
Low Dose ◽  
Dose Oral

scholarly journals The Trp64Arg Polymorphism of the β3-Adrenergic Receptor Gene Is Not Associated with Body Weight or Body Mass Index in Japanese: A Longitudinal Analysis

2003 ◽  
Vol 88 (12) ◽  
pp. 5914-5920 ◽  
Author(s):  
Yumi Matsushita ◽  
Tetsuji Yokoyama ◽  
Nobuo Yoshiike ◽  
Yasuhiro Matsumura ◽  
Chigusa Date ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Energy Intake ◽  
Body Mass ◽  
Longitudinal Analysis ◽  
Adrenergic Receptor ◽  
Cross Sectional ◽  
Genotype Frequencies ◽  
The Cross

Abstract The β3-adrenergic receptor (ADRB3) is expressed mainly in visceral adipose tissue and is thought to contribute to lipolysis and the delivery of free fatty acids to the portal vein. Although many studies have examined the relationship between the Trp64Arg mutation of ADRB3 and obesity, the results have been inconsistent. We examined the cross-sectional relationship of ADRB3 variants with indexes of obesity, and their longitudinal changes over 10 yr, in men and women, aged 40–69 yr, who were randomly selected from the Japanese rural population. The study considered both dietary energy intake and physical activity levels. Among the 746 participants, the genotype frequencies of the Trp64Trp, Trp64Arg, and Arg64Arg variants were 483, 224, and 39, respectively. The cross-sectional analysis showed no significant differences in height, weight, body mass index, blood pressure, serum total and high density lipoprotein cholesterols, and hemoglobin A1c among the genotype groups even after adjustments for gender, age, smoking, alcohol drinking, physical activity, and energy intake. No significant differences in the weight changes between the genotype groups were evident in the longitudinal analysis. We conclude that the Trp64Arg mutation of ADRB3 has little or no influence on either body weight or body mass index in the general Japanese population.

Perceptions of body weight based on personal control and responsibility vary by body mass index

Appetite ◽  
2020 ◽  
pp. 104906
Author(s):  
Karen Robinson ◽  
Sarah Muir ◽  
Annie Newbury ◽  
Lourdes Santos-Merx ◽  
Katherine Appleton
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Personal Control

Body Weight and Body Mass Index in Patients with End-Stage Cystic Fibrosis Stabilize After the Start of Enteral Tube Feeding

2017 ◽  
Vol 117 (11) ◽  
pp. 1808-1815 ◽  
Author(s):  
Francis M. Hollander ◽  
Nicole M. de Roos ◽  
Gerdien Belle van Meerkerk ◽  
Ferdinand Teding van Berkhout ◽  
Harry G.M. Heijerman ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cystic Fibrosis ◽  
Body Weight ◽  
Body Mass ◽  
Tube Feeding ◽  
Enteral Tube Feeding ◽  
End Stage

scholarly journals Abdominal obesity: prevalence, sociodemographic- and lifestyle-associated factors in adolescents

2017 ◽  
Vol 27 (1) ◽  
pp. 56 ◽  
Author(s):  
Willian R. Tebar ◽  
Luiz Carlos M. Vanderlei ◽  
Catarina C. Scarabotollo ◽  
Edner F. Zanuto ◽  
Bruna T. C. Saraiva ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Public Schools ◽  
Sedentary Behaviour ◽  
Body Mass ◽  
Abdominal Obesity ◽  
Associated Factors ◽  
Statistical Significance ◽  
Obesity Prevalence

Objectives: The aim of this study was to determine the prevalence of abdominal obesity and its associated factors among adolescents, independent of confounders. Method: A sample of 14–17-year-old individuals (n=1.231), who were students from Londrina/PR-Brazil public schools, was studied. A questionnaire about physical activity, sedentary behaviour and socioeconomic conditions was applied. Anthropometry was composed of body weight (kg), height (m), body mass index (BMI=kg/m²) and waist circumference (cm). The association of abdominal obesity and independent variables was assessed using the chi-square test and the magnitude of associations was verified using Binary Logistic Regression in an unadjusted model and adjusted for confounders (gender, age, socioeconomic status, physical activity and sedentary behaviour). The confidence interval and statistical significance were set at 95% and 5%, respectively, using SPSS v15.0. Results: The abdominal obesity prevalence was 17.5% (CI = 15.4%–19.6%), and was higher in boys than in girls. Adolescents with abdominal obesity had higher values of body weight, height, body mass index and sedentary behaviour compared to eutrophic individuals. Being male increased the risk of abdominal obesity by 36% in adolescents. This risk was two times higher in those with high levels of sedentary behaviour. Conclusion: Abdominal obesity was significantly associated with gender and high levels of sedentary behaviour, regardless of confounding factors. Lifestyle habits are important modifiable risk factors that can effectively contribute to the reduction of obesity from an early age.

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