Effects Of Lifestyle Behaviors Research Articles

Evaluation of physical activity status, anthropometric measurement and healthy lifestyle of women aged 20-45 years who applied to a private nutrition clinic

Objective: The aim of this study was to evaluate the obesity, physical activity status and healthy lifestyles of women aged 20-45 years who applied to a private nutrition clinic. Method: The study was carried out among 79 women aged 20-45 years who applied to a private clinic in Mersin. Participants were asked to complete questionnaires in order to examine data related to their daily physical activities and lifestyles. The researcher filled out questionnaires face to face and in the form of question and answer. One-way analysis of variance and t-test results were evaluated by frequency analysis method. Results: In our study, the mean total score was found to be 123.4 according to SESL II. 93.7% of the participants had inactive physical activity level, 2.5% had minimal physical activity level and 3.8% had very active physical activity level. Conclusion: In our study, healthy lifestyle behaviors of the participants were in average levels. It was found. This should be improved and the effects of lifestyle behaviors on health should be explained.

RETRACTED: A Mendelian Randomization Analysis Investigates Causal Associations between Inflammatory Bowel Diseases and Variable Risk Factors

The question of whether variable risk factors and various nutrients are causally related to inflammatory bowel diseases (IBDs) has remained unanswered so far. Thus, this study investigated whether genetically predicted risk factors and nutrients play a function in the occurrence of inflammatory bowel diseases, including ulcerative colitis (UC), non-infective colitis (NIC), and Crohn's disease (CD), using Mendelian randomization (MR) analysis. Utilizing the data of genome-wide association studies (GWASs) with 37 exposure factors, we ran Mendelian randomization analyses based on up to 458,109 participants. Univariable and multivariable MR analyses were conducted to determine causal risk factors for IBD diseases. Genetic predisposition to smoking and appendectomy as well as vegetable and fruit intake, breastfeeding, n-3 PUFAs, n-6 PUFAs, vitamin D, total cholesterol, whole-body fat mass, and physical activity were related to the risk of UC (p < 0.05). The effect of lifestyle behaviors on UC was attenuated after correcting for appendectomy. Genetically driven smoking, alcohol consumption, appendectomy, tonsillectomy, blood calcium, tea intake, autoimmune diseases, type 2 diabetes, cesarean delivery, vitamin D deficiency, and antibiotic exposure increased the risk of CD (p < 0.05), while vegetable and fruit intake, breastfeeding, physical activity, blood zinc, and n-3 PUFAs decreased the risk of CD (p < 0.05). Appendectomy, antibiotics, physical activity, blood zinc, n-3 PUFAs, and vegetable fruit intake remained significant predictors in multivariable MR (p < 0.05). Besides smoking, breastfeeding, alcoholic drinks, vegetable and fruit intake, vitamin D, appendectomy, and n-3 PUFAs were associated with NIC (p < 0.05). Smoking, alcoholic drinks, vegetable and fruit intake, vitamin D, appendectomy, and n-3 PUFAs remained significant predictors in multivariable MR (p < 0.05). Our results provide new and comprehensive evidence demonstrating that there are approving causal effects of various risk factors on IBDs. These findings also supply some suggestions for the treatment and prevention of these diseases.

Promoting the well-being of rural elderly people for longevity among different birth generations: A healthy lifestyle perspective.

Wellbeing may have a protective role in health maintenance. However, no specific study clarified the particular protective effect of the subjective wellbeing of rural elderly people on survival probability. Few studies have examined the effect of the lifestyle of rural elderly people on their subjective wellbeing from different perspectives. We investigated whether improving subjective wellbeing increased the probability of longevity of rural elderly people and the effects of lifestyle behaviors on the subjective wellbeing of rural elderly people in different birth generations. Data were derived from the China Health and Nutrition Survey (CHNS), which is an ongoing open cohort study that adopts a multistage, random clustered sampling process. We used the data of elderly people who were aged 65 or over during 2006-2015 for analysis. The Kaplan-Meier method and log-rank test found that the survival probability of rural elderly people was significantly lower than urban elderly people. Based on a sample of rural elderly people, Cox regression and generalized estimating equations were performed as further analyses. A total of 892 rural elderly people aged 65 or over were included in the sample in 2006. High subjective wellbeing was a protective factor against death. The subjective wellbeing of rural elderly people born in the 1940s/1930s/1908-1920s birth generations first decreased then increased. For rural elderly people born in the 1940s, there were significant positive effects of a preference for eating vegetables and walking/Tai Chi on subjective wellbeing. For rural elderly people born in the 1930s, preferences for eating vegetables, reading, and watching TV all had significant positive effects on subjective wellbeing. Rural elderly people born in the 1908-1920s who preferred watching TV had more subjective wellbeing. Improving subjective wellbeing extended the life span and reduced mortality risk in rural elderly people and may be achieved by the shaping of a healthy lifestyle, such as preferences for eating vegetables, walking/Tai Chi, and reading.

The Duration of Application to Hospital in Acute Myocardial Infarction and the Effect of Lifestyle Behaviors

The Duration of Application to Hospital in Acute Myocardial Infarction and the Effect of Lifestyle Behaviors

Effects of lifestyle behaviours and depressed mood on sleep quality in young adults. A machine learning approach

Background Modern lifestyles may lead to high stress levels, frequently associated with mood disorders (e.g. depressed mood) and sleep disturbance. The objective of this study was to develop a machine learning model aimed at identifying risk factors for developing poor sleep quality in young adults. Material and methods The sample consisted of 383 college-aged students (mean age ± SD: 21 ± 1 years; 61% males). Sleep quality, mood state, physical activity, number of sitting hours, and smartphone use were measured. Results A decision tree algorithm distinguished participants’ sleep quality with 74% accuracy using a combination of four features: depressed mood, physical activity, sitting time, and vigour. Together with depressed mood, both physical activity (>6432 metabolic equivalent tasks -METs- per week) and sedentary behaviour (sitting time greater than 7 h/day) were the primary features that could differentiate those with poor sleep quality from those with good sleep quality. Conclusions We provided a decision tree model with a sensitivity of 90.7% and a specificity of 54.3%, with an AUC of 0.725. These findings could promote improvements in prevention strategies and contribute to the development of meaningful and evidence-based intervention programs.

Lifestyle matters: the effect of Lifestyle-Behaviors and Self-perceived Health on Psychological Resilience during COVID-19 Pandemic

Lifestyle matters: the effect of Lifestyle-Behaviors and Self-perceived Health on Psychological Resilience during COVID-19 Pandemic

Effects of lifestyle factors on fertility: practical recommendations for modification.

SummaryThe role that lifestyle factors play in fertility issues has generated some amount of interest and questions among stakeholders. This review aims to highlight the impact of lifestyle behaviors on the fertility potential of an individual and what can be done to prevent or improve reproductive outcomes. Relevant published articles on the effect of lifestyle behaviors were obtained from Medline, Pubmed and Google scholar search engines for the study. The review of the literature indicates a negative impact of modifiable lifestyle factors such as fat-rich diets, delayed childbearing/age of starting family, smoking, alcohol misuse, sexual behavior, anxiety/depression and perception/beliefs were associated with fertility. The ensuing stress precipitates social behaviors such as excessive alcohol and caffeine consumption, tobacco smoking, misuse of recreational drugs/medications, which increases the risk of sexually transmitted diseases and infection leading to infertility. Practical recommendations to modify lifestyle behaviors and the impact of misconception of Assisted Reproductive Technology in the treatment of infertility are discussed. The need to make appropriate behavioral changes to stem the tide of infertility in Nigeria is imperative. More reproductive health education is needed to create the necessary awareness of the etiologies of infertility and the importance of in vitro fertilization treatment as a means of conceiving ‘natural’ babies is suggested.Lay summaryScientific evidence has suggested that modifiable lifestyle factors (consumption fat-rich diets, delayed childbearing/age of starting family, smoking, alcohol misuse, sexual behavior, anxiety/depression and perception/beliefs) play important roles in the general health and wellbeing of individuals including fertility. Evidence exists of an association between lifestyle behaviors and infertility in both men and women. Understanding the various processes through which modifiable lifestyle behaviors impair fertility will help to assist in the management of affected individuals. We conducted a comprehensive review of published studies to assess how lifestyle factors inhibit fertility and practical ways to ameliorate them. This review also deals with the misconception of Assisted Reproductive Technology in the treatment of infertility. The need to make appropriate behavioral changes to stem the tide of infertility in Nigeria is imperative. More reproductive health education is needed to create the necessary awareness of the causes of infertility and the importance of in vitro fertilization in the treatment of infertility.

LONG-TERM ATHLETIC DEVELOPMENT AS A FRAMEWORK TO INFLUENCE WELLNESS DURING CHILDHOOD AND ADOLESCENCE

Apply It! • Health and fitness professionals working with children and adolescents should first understand normal growth, maturation, and development (the “business of growing up”) when considering the implementation and effect of lifestyle behaviors. • Fundamental movement skills provide the foundation or building blocks for developing confidence and competency in sports, games, play, and physical activity and, along with developing muscular fitness, should be the focus of youth physical development. • Along with physical activity, sleep and nutrition also serve as a polypill for optimal growth, maturation, and development. Youth programs should provide education and intervention on these key behaviors as well. • Quality instruction and supervision of youth programs should include assessment and monitoring of growth and maturation, fundamental movement skill acquisition, physical performance, injury prevention, nutrition, sleep, and psychosocial well-being.

Lifestyle Risk Factors Associated With Non-Alcoholic Fatty Liver Disease (NAFLD) Among Mexican-Origin Men

BACKGROUND: Mexican-origin men have the highest rates of non-alcoholic fatty liver disease (NAFLD) among men in the U.S. Current evidence regarding the effects of lifestyle behaviors and risk for NAFLD among Mexican-Origin men is scarce. PURPOSE: To assess the influence of lifestyle behaviors risk for NAFLD, in a sample of Mexican-origin men from the Cameron County Hispanic Cohort (CCHC). METHODS: The CCHC is a randomly selected cohort of community-dwelling Mexican Americans living in the U.S-Mexico border. Participants completed physical assessments and questionnaires on demographics, medical/medication use history, and lifestyle factors. Liver elastography (FibroScan®) was performed for the assessment of liver steatosis based on controlled attenuation parameters (CAP, dB/m) scores. Survey-based linear regression for CAP score or logistic regression analyses for mild steatosis (CAP ≥ 260) were conducted to examine the relationships of lifestyle and cardiometabolic factors to NAFLD. RESULTS: 207 Mexican-origin men (mean age: 53.5 (SE 2.5) years; mean BMI: 31.4±0.5. kg/m2; 43.9 % Spanish monolingual; 44.0 % born in U.S.) were included in the analysis. Mean CAP score was 290.4 (SE 7.3) dB/m and the prevalence of steatosis was 66.9% (SE 4.5%). There was no significant relationship of education, marital and uninsured status, smoking history, healthy/unhealthy eating indices, and physical activity levels to steatosis (p-values >0.05). There were significant associations between cardiometabolic risk factors including log transformed glucose OR= 8.20, 95%CI 1.63-41.25, p=0.0108), HbA1c (OR=1.43, 95%CI 1.08-1.90, p=0.013), HDL-C (OR=0.96, 95%CI 0.93-0.996, p=0.029) and log transformed triglyceride levels (OR=7.21, 95%CI 2.58-20.16 p<0.001), and steatosis. A one-unit increase in BMI was significantly associated with 36% increase in odds of steatosis (OR=1.36, 95%CI 1.18-1.55, p<0.001). Having metabolic syndrome (OR=4.93, 95%CI=1.84-13.19, p=0.0016) was significantly associated with steatosis in age-and BMI adjusted models. CONCLUSION: NAFLD was associated with cardiometabolic risk factors among Mexican-origin men in a community-based sample. Efforts to develop health promotion programs to address these risk factors, particularly body weight, are warranted.

Effect of life style behaviors on assisted reproductive techniques (ART)

Background: Infertility means a couple in their reproductive age not bearing a child after a year’s unprotected intercourse. It has a global prevalence of 12% to 15%. Aim of the work: The aim of this study is to evaluate the combined effect of several lifestyle behaviors [Exercise, smoking, alcohol, dietary habits and stress] on assisted reproductive techniques [ART] outcomes. Patients and Methods: This study included 700 patients undergoing intracytoplasmic sperm injection. Patients answered a questionnaire [simple life style questionnaire; SLIQ] and analysis examined the relationship between lifestyle with the intracytoplasmic sperm injection cycles outcomes. Comparison of SLIQ scores as measured by the scoring template with scores obtained by the health professionals’ blinded assessment of the questions validated our scoring scheme. We achieved a correlation coefficient of 0.77 [P<0.001] between SLIQ scores and blinded reviewers’ scores. Results: The mean number of oocytes was 6.31±5.5; and [73%] of oocytes were of good quality; the mean number of embryos was 3.22±3.36 and 69.0% were of good quality. Finally, 399 patients [57%] get pregnant. There was significant relation between life style behaviors and results of ART. There was Positive correlation between [total score and each of quality of oocytes, quality of embryos and pregnancy test.Conclusion: This study has highlighted that lifestyle behaviors can adversely affect general health and reproductive performance.

Lifestyle behavior affecting prevalence of anemia among women in EAG states, India

Aim In India, the prevalence of anemia among women of age group 15–49 years is much higher and it is necessary to see the effect of lifestyle behaviors on women’s anemia level for better understanding of women’s health in eight empowered action group (EAG) states.

The Effect of Lifestyle Behaviors on Physical Activity in High School Students

The Effect of Lifestyle Behaviors on Physical Activity in High School Students

Health behavior change among women with recent familial diagnosis of breast cancer

Background. Although first-degree female relatives (FDFR) of women with breast cancer are at increased risk for the disease, little is understood about how familial diagnosis impacts health behaviors and what personal factors predict such changes. Methods. Six hundred women, ages 18 and over with a FDFR recently diagnosed with breast cancer, were interviewed after the diagnosis and again in 6 months. Participants self-reported changes in physical activity, fruit and vegetable consumption, fat consumption, alcohol and tobacco use. The effect of baseline demographics, health status, perceptions of relative's disease severity, personal risk, control over the disease and the effect of lifestyle behaviors on risk was assessed in relation to behavior changes. Results. Forty-two percent reported improving one or more behaviors. Perception that the behavior was a risk factor for breast cancer was positively associated with change for all behaviors except smoking. Poor health status, obesity and perception of control over breast cancer were associated with improvements in physical activity, fruit and vegetable consumption and fat consumption. Conclusions. Diagnosis of breast cancer in a first-degree relative can provide motivation to improve health behavior. Educational interventions highlighting the importance of these behaviors in reducing breast cancer risk and promoting health in general may be effective in this population.