Indicator Of Healthy Lifestyle Research Articles

Healthy Lifestyle Indicators of Primary School Students Formed at Physical Education Lessons

This article discusses issues related to the indicators of a healthy lifestyle of primary school students, formed in physical education classes. Here, many researchers note the need to inculcate motor skills in primary school students by various means of physical culture, which include physical exercises, outdoor games, etc. Thus, in practice, induce children into the subconscious about constant motor activity. According to the author, the formation of a versatile manifestation of interest in one’s own health, a causal relationship to a healthy lifestyle by means of education, upbringing and development, provides for an appeal to the cognitive sphere, motives for maintaining health, to a business complex of motivational substructures that establish the orientation of the individual attitude to education, motives of self-esteem, self-improvement. The actualization of the need for one's own health, associated with its deterioration or loss, confirms a person's concern for his mental, physical and mental well-being. Often often ill adults, acutely feeling them, do not take the necessary measures aimed at their treatment, especially children of primary school age who need care and attention to health from adults. The reason for such passive behavior of people lies in the contradictory nature of human needs, which are characterized by a passive-active nature, in the use of various capabilities of the body, and in the peculiarities of the motivational sphere of the personality as a whole. It becomes obvious that the intensity of a person's concern for his spiritual, physical and mental well-being is determined by: the deterioration of health, the interest of the individual.

Gender Differences in Incidence of Type 2 Diabetes and Related Psychosocial Factors

Introduction: Diabetes is one of the chronic diseases which causes other chronic diseases. The incidence of it is increasing in different societies, including Iran. This study aimed to investigate Gender differences in incidence of type 2 diabetes and related psychosocial factors.
 Methods: This was a cross-sectional study conducted in 2019 among people with the age group of 20 to 60. All the 600 participants were married and lived in Kerman. Using multi-stage sampling, 300 men and 300 women were selected. Data were collected through a questionnaire which included 3 sections as follows: Social demographic variables, healthy lifestyle variabl and perceived stress variable. Statistical analysis was done through descriptive statistics, Lambda test, Independent sample T -test and Binary Logistic regression. The SPSS 23 was used to perform the data analysis. The significance level of the study was considered to be p=0.05.
 Results: The mean (SD) score of physical activity for women was significantly lower than men: (7.6 (2.3) vs. 8.2 (2.7) (P=0.006) ). In the same vein, the mean (SD) score of healthy diet among women was significantly higher than men: (18.6 (3) vs. 18 (2.4),( P<0.001) ). The rate of avoidance of tobacco and alcohol consumption among women was significantly higher than men: (19.4 (1.3) vs. 17.9 (2.6),( P<0.001) ). Results of multiple logistic regression showed that in the group of women, the chance of developing diabetes was significantly related to perceived stress level (OR=1.21), level of sports activities OR=0.48) (and education. Education level and health diet also had a significant effect on men's odds of developing diabetes (OR=0.63, 1.35, respectively).
 Conclusion: Among the indicators of healthy lifestyle, doing exercise in women and having a healthy diet in men were effective in predicting the risk of diabetes. In addition, the amount of perceived social stress was one of the most important psychological factors in the development of diabetes just in women. Therefore, it is crucial to recognize the factors affecting diabetes in both men and women separately and This can be an appropriate analytical instrument for sociologists and health researchers to recognize and focus on this problem as well as for health policy makers to reduce and control harmful factors.

Relationship between Diet Quality and Quality of Life among Overweight and Obese Women

Background: The prevalence of overweight and obesity is increasing among women. Since diet quality and quality of life are two indicators of healthy lifestyle, we conducted this study to examine the relationship between these two indicators among overweight and obese women. Methods: This study was carried out among a sample of 111 overweight and obese women, aged 35-60 years in the west of Tehran, Iran. Dietary data were collected using a 168-item food frequency questionnaire and the Nutrient-Rich Food index (NRF9.3) algorithms were used to estimate the nutrient density. The quality of life was measured using 26-item WHOQOL-BREF questionnaire. The SPSS 24 was run for statistical analysis. Results: We found that the participants’ quality of life had a significant relationship with their occupational, marital, and educational status, but no significant association was observed between the quality of life and diet quality (P = 0.50). Pearson correlation showed that NRF9.3 score was positively associated with body mass index (P = 0.01), but no difference was found between obese and overweight women regarding quality of life. Conclusion: The NRF9.3 index was not associated with WHOQOL-BREF questionnaire's score, while job, marriage, and education were significantly associated with the quality of life. Further studies are needed to clarify the relationship between quality of life and diet quality among overweight and obese women.

ОСОБЕННОСТИ ПРИВЕРЖЕННОСТИ ЗДОРОВОМУ ОБРАЗУ ЖИЗНИ СТУДЕНТОВ-МЕДИКОВ МЛАДШИХ КУРСОВ: ВЗАИМОСВЯЗЬ С ПСИХОСОЦИАЛЬНЫМИ ХАРАКТЕРИСТИКАМИ

Students of medical universities are experiencing great overload in the learning process and adaptation to the educational process. The formation of healthy behavior among students can contribute to their better adaptation to the learning process, disease prevention and health promotion. That is why, when studying the commitment to a healthy lifestyle of students, it is necessary to take into account characteristics that are associated with their personal traits, as well as with the influence of macro- and microsocial factors that directly or indirectly affect the life of a healthy lifestyle. The study aims to determine the characteristics of adherence to a healthy lifestyle of junior medical students by identifying the characteristics of the relationship between healthy lifestyle indicators and the psychosocial characteristics of students.The sample is represented by 119 students of 1-2 courses of the Faculty of Medicine at the age of 17-26 years, who are Russian and foreign citizens. As psychodiagnostic methods we used the Russian version of HPLP – Health Promoting Lifesyle Profile, a modified version of Dembo-Rubinstein methodology for self-es teem s tudying, a sociocultural questionnaire. Mathematical processing was carried out using descriptive statistics and correlation analysis methods. The results obtained characterize the adherence to a healthy lifestyle of students based on the relationship of age-specific, gender and religious characteristics, employment, material conditions, exposure to stress and bad habits, anti-suicidal barrier and the main indicators of a healthy lifestyle profile. The study found that a greater healthy lifestyle adherence among medical students is determined by their older age, male gender, labor activity combined with training, lower levels of monthly material costs, the presence of a religious faith, higher tolerance of loads and less exposure stress. Belonging to Russian or foreign culture is not associated with healthy lifestyle adherence during the junior years.

Conscientiousness and engagement with national health behaviour guidelines

ABSTRACT High conscientiousness is associated with better health and longer life. This relationship is partly accounted for by the performance of health behaviours. The current study aimed to investigate whether conscientiousness was associated with adherence to national health behaviour guidelines as an indicator of healthy lifestyle. A cross-sectional design was used, where participants (N= 886) completed online questionnaires to assess conscientiousness and the facets of conscientiousness (order, virtue, traditionalism, self-control, responsibility, industriousness) and the performance of four health behaviours (fruit and vegetable consumption, alcohol intake, smoking, and physical activity). An index was calculated to combine the health behaviours. Conscientiousness and all its facets significantly predicted the health behaviour guideline index. In comparing high and low conscientious sub-groups, the low conscientious group had lower levels of adherence to all health behaviours guidelines measured. Strikingly, the number of high conscientious participants meeting all health behaviour guidelines was nearly twice the number of low conscientious participants meeting all guidelines. Conscientiousness is associated with adherence to multiple national health behaviour guidelines. Therefore, the positive associations between conscientiousness and health/longevity may be accounted for, in part, by the adoption of a healthy lifestyle across multiple health domains.

BASIC APPROACHES TO DETERMINING HEALTHY LIFESTYLE INDICATORS

The article is devoted to the study of the main approaches to determining healthy lifestyle indicators of an individual. The study identified the relationship between a style and healthy lifestyle and highlighted their common characteristics. From the perspective of the philosophical approach, it has been found out that a healthy lifestyle is a specific formation that arises on the basis of the interaction between the essential forces of the person, stylistic patterns and the product of the creativity of the individual, that is, their health. The publication noted the existence of a large number of interpretations of the essence of the concept of “health”. This made it possible to analyze and group them according to the principle of the most general characteristics of the specified category. The differences between a “healthy lifestyle” and “healthy way of life” have been clarified. The main positions and key aspects of the theories of Adler, G. Allport, M. Weber and other scientists, who studied the concepts of “style” and “lifestyle” have been considered. In the context of these developments, modern approaches to understanding healthy lifestyle as a scientific category have been specified.In the course of the research various approaches to establishment of a “healthy lifestyle” category have been analyzed. As a result, it was assumed that it falls within the definition of a norm as an ideal rather than a norm as a pattern of behavior. Thus, a healthy lifestyle can, indeed, be considered an ideal form of behavior that the individual strives for, not the role model, which is only an example to follow.The paper formulates the basic approaches and indicators of a healthy lifestyle, which can be attributed: content-targeted, motivational-value, individually-oriented and socially-demonstrative. The approaches to the definition of key indicators of a healthy lifestyle suggest that a healthy lifestyle is a person’s life strategy, reflected in everyday practices aimed at maintaining and promoting health and helping to maintain a high level of reflection in the long term.

The awareness and consciousness of young students about the threat of risk factors of development of non-infectious diseases – modern status of the problem.

The purpose of this study was to analyze students’ awareness and con­sciousness about the threat to health of risk factors for the development of chronic non-infectious diseases, to determine whether they have the skills of a healthy lifestyle and to develop and scientifically substantiate the Algorithm for introducing health-saving educational technologies in the educational process of higher educational institutions of Ukraine. A sociological survey was conducted among students of higher educational institutions of Ukraine regarding the levels of awareness and consciousness about certain factors in the development of non-infectious diseases. 430 students of the Kiev National University of Trade and Economics and 216 students of SumyStatePedagogicalUniversitywere interviewed. A specially designed questionnaire was used. A high level of awareness of students about the main factors in the development of non-infectious diseases – poor nutrition, low physical activity, smoking and alcohol abuse has been established. At the same time, students are not sufficiently conscious about the risk of developing diseases and are unsufficiently motivated to a healthy lifestyle. It is shown a significant difference in indicators of healthy lifestyle among students of institutions of various profile. The Algorithm for the introduction of a health-saving educational technologies into the educational process of higher educational institutions, which is a scientifically substantiated system containing the main tasks, principles and measures aimed at raising the level of awareness and consciousness of young students about the health threat of risk factors for the development of chronic non- infectious diseases has been developed. The data obtained are the basis for the improvement of measures for the prevention of non-infectious diseases among students inUkraine.

Prospective association between combined healthy lifestyles and risk of depressive symptoms in the French NutriNet-Santé cohort

BackgroundSeveral modifiable lifestyle indicators, including diet, smoking, alcohol consumption, weight and physical activity have been associated with depression; however, their combined effect has been less studied. The aim of this study was to calculate a Healthy Lifestyle Index (HLI) composed of the 5 above-mentioned indicators and investigate its association with incident depressive symptoms. MethodsThe study sample consisted of 25,837 participants from the NutriNet-Santé study, initially free of depressive symptoms. The HLI was computed by assigning 1 point to each lifestyle indicator namely healthy diet, healthy weight, moderate or high physical activity, never smoking and low alcohol consumption. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D). Hazard Ratios were estimated using Cox proportional hazards models and population attributable risks (PAR) were calculated. ResultsA total of 2112 incident cases of depressive symptoms were identified over a mean follow-up of 5 years. After accounting for a wide range of potential confounders, a 1-point increase in the HLI was associated with a 10% (95% CI 6%; 13%) reduction in the risk of depressive symptoms. The estimated PAR representing the proportion of cases that are attributable to non-adherence to specific healthy lifestyle indicators were 8% for healthy diet, 5% for healthy weight, 5% for non-smoking and 14% for the non-adherence to a combination of healthy diet, healthy weight and non-smoking. LimitationsSome unmeasured factors related to both depression and lifestyle indicators, such as family history of depressive disorder, stressful life events, and sleep disorders might have led to potential residual confounding. ConclusionsModifying unhealthy lifestyles, especially diet, weight and smoking, is a potential target of major interest in the prevention of depressive symptoms in adults.

Strong and healthy in Primary School Klasse2000 Program, Germany: a Program Impact Pathways (PIP) analysis.

Developing a Program Impact Pathways (PIP) diagram helps identify and clarify the key objectives, processes, activities, and evaluation indicators of school-based nutrition programs. The Mondelēz International Foundation has recently supported the development of PIP analyses for programs in seven countries around the world. The results were shared with other project organizers at a Healthy Lifestyles Program Evaluation Workshop held in Granada, Spain, 13-14 September 2013, under the auspices of the Mondelēz International Foundation. The objectives were to develop the PIP assessment of the Strong and Healthy in Primary School Klasse2000 Program in order to refine the primary, secondary, and tertiary objectives of the program; identify Critical Quality Control Points (CCPs); and identify core indicators of the program's impact on healthy lifestyles. The PIP report was developed based on detailed instructions provided prior to the workshop, taking into account the Klasse2000 Program evaluation reports. The following CCPs were identified: monitoring the qualifications and motivation of teaching staff (external health promoters and schoolteachers); assessing involvement of the students' environmental influences, including families, schools, and sponsors; and assessing the children's healthy lifestyle knowledge, attitudes, and behaviors before and after program exposure. The healthy lifestyle indicators identified were children's knowledge of healthy diets and health-enhancing physical activities; the availability of healthy breakfast and snacks; the frequency of consumption of fruits, vegetables, sweetened and unsweetened drinks,fast food, and sweets, as well as attitudes toward physical activity; and the frequency and extent of physical activity in school and during free time. Body mass index (BMI) was identified as the final outcome indicator. Developing a PIP report helped to focus the objectives of the program. Identifying CCPs helped draw attention to the processes linking critical program activities. As a result, plans for the upcoming school year include conducting a PIP-informed survey of participating parents and children to gauge their satisfaction with the program.

Omega-3 Fatty Acids From Fish, Other Nutrient Intake, and Lifestyle Factors

The omega-3 fatty acids found mostly in seafood are essential nutrients that may help prevent or control a number of diseases; however, the evidence for this is not conclusive. The positive effects may be because of other dietary and lifestyle factors. Therefore, we investigated the association between fish intake and other nutrition indicators and lifestyle and demographic factors among children. The study employed grade-4 student data of the 2000-2004 Hawaii Nutrition Education Needs Assessment Survey. In a sample 666 children (mean age = 9.57 ± 0.06 years, 55.6% female, 62.4% Asian/Pacific Islander), analysis indicated that fish consumption is positively associated with healthy lifestyle indicators, such as physical activity and a healthy body mass index. Fish consumption is also positively associated with protein and kilocalories intake but not with fruits and vegetables consumption. Findings suggest that the positive health behaviors linked to fish consumption may lie more in physical activity than in diet behaviors. Given that fish consumption is important for children, interventions promoting fish consumption in a balanced diet with fruit and vegetable, as well as other positive lifestyle behaviors are warranted.

Relationships Among Factors Related to Body Mass Index, Healthy Lifestyle Beliefs and Behaviors, and Mental Health Indicators for Youth in a Title 1 School

IntroductionThe effect of being overweight in childhood has both physical and psychological implications. The purpose of this study was to determine the relationships among body mass index (BMI), healthy lifestyle beliefs and behaviors, and mental health indicators for 5th- and 6th-grade children in a Title I school. MethodsThis is a cross-sectional, descriptive correlational design on a convenience sample of youth in an urban school. BMI was calculated. Participants completed surveys that assessed healthy beliefs and behaviors, activity and nutrition knowledge, and mental health indicators. ResultsChildren with higher BMIs reported difficulty in living a healthy lifestyle. This perceived difficulty affected their ability to make healthy choices. Belief in the ability to live a healthy lifestyle resulted in reported healthier behaviors. Anxiety and depression symptomatology were not significantly related to healthy lifestyle indicators. DiscussionThe results demonstrate that the proposed thinking, feeling, behavior triangle model was supported in this population.

Ready-to-eat cereals and breakfast: Association with healthy body weight and other indicators of healthy lifestyle

Ready-to-eat cereals and breakfast: Association with healthy body weight and other indicators of healthy lifestyle

Lifestyle Factors on the Risks of Ischemic and Hemorrhagic Stroke

The joint effects of different lifestyle factors on stroke risk are still to some extent unclear, especially regarding hemorrhagic stroke. We prospectively investigated the association of different indicators of lifestyle (smoking, body mass index, physical activity, and vegetable and alcohol consumption) with total and type-specific stroke incidence among 36686 Finnish participants who were 25 to 74 years old and free of coronary heart disease and stroke at baseline. During a mean follow-up period of 13.7 years, 1478 people developed an incident stroke event (1167 ischemic and 311 hemorrhagic). The multivariate-adjusted (age, sex, education, family history of stroke, history of diabetes mellitus, systolic blood pressure, and serum total cholesterol level) hazard ratios associated with adherence to 0 to 1 (reference group), 2, 3, 4, and 5 healthy lifestyle indicators were 1, 0.66, 0.57, 0.51, and 0.33 (P<.001 for trend) for total stroke; 1, 0.67, 0.60, 0.50, and 0.30 (P<.001 for trend) for ischemic stroke; and 1, 0.63, 0.49, 0.49, and 0.40 (P<.001 for trend) for hemorrhagic stroke, respectively. These inverse associations were similar in both men and women. The partial population attributable risk percentages associated with adherence to 3, 4, and 5 healthy lifestyle indicators were 26.3%, 43.8%, and 54.6% for total stroke; 22.7%, 45.3%, and 59.7% for ischemic stroke; and 35.0%, 35.0%, and 36.1% for hemorrhagic stroke, respectively. Healthy lifestyle factors are associated with a lower risk of stroke, and there is a graded inverse association between the number of healthy lifestyle indicators and the risks of total, ischemic, and hemorrhagic stroke.

Exercise Frequency As a Determinant of Healthy Lifestyle Characteristics Among U.S. Adults

Individual participation in recommended amounts of regular exercise can improve health and prevent disease. However, little is known about whether exercise can improve a group of healthy lifestyle characteristics (HLC). PURPOSE: The purpose of this study was to determine the relationship between exercise frequency and the prevalence rate of a single healthy lifestyle indicator. METHODS: Researchers used data from the 1998 and 2000 BRFSS. Logistic regression analysis was conducted with covariates (age, gender, race, education, income, and general health) and exercise frequency selected as the predictor variable. The criterion variable (single healthy lifestyle indicator), was calculated by a defining pattern of four HLC (healthy weight, fruit and vegetable consumption, non-smoking, and leisure time physical activity) for each respondent. The covariates and predictor variable were entered as a block of predictor variables. RESULTS: Gender (OR = 2.56, 95% CI = 2.41-2.71, p <.0001), general health (OR = 1.57, 95% CI = 1.52-1.62, p <.0001), and exercise frequency (OR = 1.37, 95% CI = 1.36-1.38, p <.0001) had the largest effect on the single healthy lifestyle indicator. Education (OR = 1.35, 95% CI = 1.30-1.39, p <.0001), race (OR = 1.12, 95% CI = 1.04-1.21, p <.0001), income (OR = 1.06, 95% CI = 1.05-1.08, p <.0001), and age (OR = 1.01, 95% CI = 1.00-1.01) were also statistically significant, but had a smaller effect on the single healthy lifestyle indicator. For every one unit increase in exercise frequency, the odds of meeting the single healthy lifestyle indicator increased by a factor of 1.41 while holding all other variables constant. Based on pseudo-R-squared values, when exercise frequency was excluded from the model, the remaining variables only explained 6% of the variance in the single healthy lifestyle indicator. When exercise frequency was reintroduced, the model accounted for 17% of the variance in the single healthy lifestyle indicator. Exercise frequency was able to exclusively explain 11% of the variance in the single healthy lifestyle indicator. CONCLUSION: An increase in exercise frequency was positively related to an increase in the single healthy lifestyle indicator. Future research should examine causal relationships between exercise frequency and other healthy lifestyle indicators.

Healthy behaviors and lifestyles in young adults with a history of developmental disabilities

Objective Measure select Healthy People 2010 Leading Health Indicators in young adults with and without a history of developmental disabilities (DD) using a population-based cohort. Methods Young adults were interviewed to assess the prevalence of seven Leading Health Indicators: physical activity, overweight and obesity, tobacco use, substance abuse, responsible sexual behavior, injury and violence, and access to healthcare. Results Young adults with a history of DD were less likely to be involved in tobacco use, substance abuse and sexual activity. Areas of concern included below normal Body Mass Index, lack of HIV/AIDS and sex education, preventive healthcare services for women, and victimization. Conclusions Despite some healthy lifestyle indicators, health gaps may place young adults with a history of DD at risk for poor health and quality of life.