Health-related Behavior Patterns Research Articles

Influence of health-related behaviors patterns on obesity among primary and secondary school students: A latent profile analysis.

To analyze the co-existing patterns of health-related behaviors among children and adolescents at different education stages and the association with obesity. Cross-sectional study. A total of 5651 primary and secondary school students were drawn from the National Student Physical Health Survey in 2014 with an average age of 13.53±2.87 years. Physical measurements and questionnaires were completed, which concluded height, weight, and health-related behaviors (sleep, physical activity, dietary, and screen behavior etal.). Latent profile analysis (LPA) was conducted using Mplus 8.3 and SPSS 26.0 was used for other statistical analysis. Three latent classes of health-related behaviors were fitted for each of the education stages. After adjustment for age, gender, and region, the high-screen behavior group were 2.217 (95%CI=1.030-4.772, p=.042) times more likely to be obesity than the health-behavior group in primary school, and the poor-diet group and poor-diet and high-screen behavior group were 2.101 (95%CI=1.396-3.396, p<.001) and 1.788 (95%CI=1.003-3.190, p=.049) times more likely to be overweight than the health-behavior group in junior middle school respectively. Obesity is mainly influenced by screen behavior and dietary patterns among children and adolescents. Health-related behavior patterns should be accurately identified and comprehensive joint interventions should be carried out to prevent obesity.

A Study to Determine the Prevalence, Risk Factors and Perception of Overweight and Obesity by Parent and Adolescent and Evaluate the Effectiveness of a School-Based Intervention Program on BMI, Body Fat Composition and Selected Health-Related Behaviour Patterns among Adolescents in Kanyakumari District

Adolescents are increasingly susceptible to obesity, and thus at risk of later non-communicable diseases, due to changes in food choices, physical activity levels and exposure to an obese environment. This review aimed to synthesize the literature investigating the effectiveness of health education interventions delivered in school settings to prevent overweight and obesity and/ or reduce BMI in adolescents, and to explore the key features of effectiveness.

Becoming socialized in a COVID-19 World: a survey exploring the response of regional Australians health-related behavior patterns

Becoming socialized in a COVID-19 World: a survey exploring the response of regional Australians health-related behavior patterns

Determinants for participation in a prevention and early detection programme for children and adolescents in Germany: does social background play a role?

Early detection examinations and prevention are particularly important in childhood and adolescence, as certain diseases are already developing and health-related attitudes and behaviour patterns are formed and implemented. Despite the importance of screening and prevention, not all families use the available services and programmes. The aim of this study is to identify factors associated with participation in an early detection and prevention programme for children and adolescents, as well as factors associated with actual uptake of an examination. The analyses are based on questionnaire data of an online survey of participants and non-participants. Descriptive analyses and logistic regression models are conducted on a defined sample (n = 1,289). The results show that both groups differ with regard to several factors: age, chronic diseases, federal state, living space, number of siblings, country of birth, migration background, language spoken at home, mother’s occupational status, household income, treatment duration, and trust in treating physician. Regression I shows that participation in the programme is significantly associated with higher age, language spoken at home, mother’s occupational status and greater trust in the treating physician. The latter demonstrates the highest predictive power. Regression II indicates that the actual uptake of an examination among participants is significantly affected by age, federal state and father’s occupational status. Overall, the results of this study show that social background partly plays a role in participation, but that factors such as trust in the treating physician also have a significant impact. For the future, further research on the factors influencing participation in screening and prevention services or programmes for children and adolescents is important in order to develop strategies to overcome existing barriers and thus reach groups that have not been reached yet. In this context, trust in the treating physician and his or her influence on decision-making should in particular be considered.

A cross sectional study on prevalence of depression in late adolescents studying in JSS high schools and colleges in Mysore district

Background: This study aimed to identify factors significantly associated with recent depressive mood concerning health-related behavioral patterns at the individual level, perceived safety in the school environment, and willingness to share concerns with family and social networks.Methods: In the cross-sectional study, a total of 221 middle school students were selected from 5 colleges in Mysuru, Karnataka by probability proportional to size sampling. Beck’s depression inventory and semi-structured questionnaire were used to evaluate the Prevalence of depression and factors associated with depression, respectively. Multivariable logistic regression analysis was conducted to explore the association between Factors and Depression in adolescentsResults: 29% of the students reported positive in Depression assessed by the BDI scale. The lifestyle and academic performance were significantly associated with Depression. Moreover, a higher risk of mental health problems was associated with poorer school interpersonal relationshipsConclusions: Depression was prevalent among adolescents and highly associated with lifestyle and academic performance. Our findings underscore the pressing need for school administrators to make efforts to improve school interpersonal relationships among adolescents.

Health-related behaviors during adolescence and subsequent anxiety and depression: the HUNT study

Abstract Background Evidence on the predictors of common mental disorders using nationwide health registries are scarce in Norway. Identifying modifiable behaviours affecting mental health across the lifespan is paramount to develop tailored strategies to tackle mental illnesses. The aim of this study was to identify patterns of health-related behaviours in adolescence and their influence on anxiety and/or depression in adulthood. Methods This was a prospective study based on data from the Trøndelag Health Study (HUNT) and health register data (N = 2061). Patterns of health-related behaviours were assessed according to physical activity, consumption of wholegrain bread, fish, fruit, vegetables, and sugar sweetened beverages and insomnia. Participant’s use of healthcare system for anxiety and/or depression was recorded at least once in the health registries. The patterns of health-related behaviors were identified through latent class analysis. Multivariable logistic regression was used to test the association between patterns of health-related behaviors and depression or/and anxiety. Results Four classes of health-related behaviors were identified: class 1 (15.2%), class 2 (36.0%), class 3 (24.2%), class 4 (24.6%). Adolescents with unhealthy behaviors (classes 1, 2 and 3) had 82%, 34% and 84% higher odds of depression and/or anxiety during adolescence and early adulthood than those from the healthy-related behaviors group (class 4). Conclusions Our findings suggest that health-related behaviors are clustered among Norwegian adolescents. There was a meaningful association of the three patterns of unhealthy behaviors during adolescence with anxiety and depression in adulthood. Population strategies and policies aiming to tackle unhealthy behaviors among adolescents can positively impact on adult’s mental health. Key messages • Improving healthy behaviors during adolescence may reduce the burden of mental illness in adulthood. • Population strategies and policies aiming to tackle unhealthy behaviors among adolescents can positively impact on adult’s mental health.

Health Concerning Lifestyle and Risky Behaviours in University Going Female Students Residing In The Hostels of Lahore

Health behaviors are actions that have an impact on one's health or illness risk. There are two types of hazardous behaviors: those that are harmful to one's health and those that are beneficial to one's health. Unhealthy habits tend to cluster in young people, according to a growing body of data. Health-related behavior patterns fluctuate greatly between nations and even within a single country's regions. Many factors like food safety, cultural, socio-economic factors, age, sex, nutrition, behavior, physical activity and diseases were assessed among female students with the age of 19 to 25 years. Objective: To assess the health concerning practices among university going Hostelite girls in Lahore. Methodology: A cross-sectional study was conducted among the girls residing at the hostel of University of Lahore, Lahore with the duration of 04 months. The non-probability convenient sampling technique was used to choose 272 university students in this cross-sectional study. Pre-tested questionnaire was used to assess the health-related lifestyle and behaviors of university going Hostelite girls and data were analyzed with SPSS version 21.0. Results: 76.4% of female students were belonged from middle class, 61.7% girls experienced normal living experience in hostels, while 57.7% students found hostels environment restricted, 43.0% female students found hotels mess food tasteless and 68.8% preferred homemade food. 22.8% of students smoked on a regular basis, while 81 percent of the students said they engaged in frequent physical activity and exercise. The majority of female students had unhealthy eating habits, with a high intake of fast food and salt. Conclusion(s): Knowledge, practices, and attitudes, as well as legal constraints, social environment, and economic position, may all influence good and bad health behaviors. Lower health literacy, on the other hand, leads to more unhealthy habits.&#x0D;

Reexamining the Relationship Between Shift Work and Health Behavior: Do Fluid Intelligence, Socio-economic Status, and Self-control Moderate the Relation?

In contemporary research, the link between shift work and health has received empirical support. Contrary to the well-established association between shift work and adverse health outcomes, literature on the link between shift work and various negative health-related behavior patterns is limited to a rather small number of studies revealing inconsistent results. This is problematic since it is assumed that shift work affects health outcomes via the effect of health behavior. Therefore, the present study aimed to investigate the relationship between shift work and select indicators of health behavior (namely, smoking, alcohol consumption, and preventive health care) as well as subjective health in a large representative German sample. In the light of inconsistent previous findings in the field, we further examined potential moderators (namely, fluid intelligence, socio-economic status, and self-control). Results are based on data from 2,590 participants. We conducted multiple regression analyses as well as mean-differences analyses. Our results suggest that shift work had no direct mean effect on health-related behavior patterns. Moreover, fluid intelligence, socio-economic status, and self-control did not moderate any effects. In accordance with the findings regarding objective health indicators, shift and day workers did not differ in the subjective perception of their health. These findings inform future research and potential interventions that should aim at fostering a healthier lifestyle not only among shift workers.

Does Family History of Cancer Influence Undergoing Screening and Gastrointestinal Investigations?

Although a family history of cancer (FHC) can modify the lifestyle and attitudes towards participation in cancer screening programs, studies on this relationship show mixed results and vary across populations. The objectives of the study were to compare sociodemographic characteristics, history of gastrointestinal (GI) investigations and Helicobacter pylori eradication, and modifiable cancer risk factors between those with FHC and those with no FHC (NFHC), and to investigate the association between FHC and a history of GI investigations. A total of 3,455 questionnaires from the pilot study of the "Helicobacter pylori eradication and pepsinogen testing for prevention of gastric cancer mortality (GISTAR study)" in Latvia were analysed. We compared sociodemographic characteristics and history of GI investigations between participants with self- reported FHC and NFHC. Binary logistic regression models adjusted for socio-demographic characteristics and modifiable cancer risk factors were built for a FHC and each GI investigation. Participants with a FHC were more likely to be women, have a higher education and less likely to have harmful habits (smoking, alcohol consumption) than those with NFHC. Participants with a FHC were approximately twice as likely to report recent colorectal investigations specifically for screening, than those with NFHC. In fully adjusted logistic regression models, FHC was significantly associated with a recent history of faecal occult blood tests (FOBTs), colonoscopies, and colorectal investigations (FOBT or colonoscopy) specifically for screening as part of the national organized screening programme. Our results indicate that those with a FHC have different patterns of health-related behaviour than those with NFHC.

Risky Behaviors and Health-Promoting Behaviors in Young Adults: An Epidemiological Study

Objective: Health behaviors are defined as activities that affect either health status or disease risk. They can be divided into 2 categories: risky behaviors and health promoting behaviors. The growing body of evidence indicates that unhealthy behaviors often cluster in young individuals. Patterns of health-related behaviors are significantly different among countries and even among various regions of a certain country. Method : The present study was conducted to assess the youths' patterns of health attitude, health-related behaviors, and their mental and physical wellbeing. In this cross-sectional study, 800 university undergraduate students were selected using multistage cluster sampling method. Standard questionnaires were filled by students. Results: About 13.3% of students smoked regularly and 14.3% reported at least one occasion of drinking, and heavy drinking was quite prevalent. Of the students, 95% reported regular physical activity and exercise. Eating habits were not healthy among the majority of students, as there was a high consumption of fast food and salt, and only 23.9% had normal body weight. Self-care behaviors were not prevalent among the students (3.2% breast self-exam and 8.5% testicular self-examination). Conclusion: Many factors may affect positive and negative heath behaviors, including knowledge, beliefs and attitudes, legal constrains, social context, and economic status. However, lower health literacy leads to more negative health behaviors.

Prevalence and associated factors of depression among Korean adolescents.

This study aimed to identify factors significantly associated with recent depressive mood with respect to health-related behavioral patterns at the individual level, perceived safety in the school environment, and willingness to share concerns with family and social networks. Self-reported responses to questions regarding recent feelings of depression, health-related behaviors in physical, psychological, and spiritual subdomains, school refusal and perceived safety at school, and perceived social support were obtained from 1,991 in-school adolescents (mean [SD] age = 15.3 [1.7] years; male/female = 936/1055). Multivariate logistic regression analyses were used to identify explanatory factors significantly associated with recent depression, defined as feelings of sadness or hopelessness for more than 2 weeks (during the last 12 months) that interfered with everyday functioning. Of the 1,991 students, 271 (13.6%) reported recent depression. Multivariate logistic regression analyses revealed higher odds of recent depression in adolescents with frequent thoughts of school refusal (odds ratio [95% confidence interval] = 3.25 [2.44–4.32]) and those who engaged in regular physical exercise (1.57 [1.19–2.07]), whereas a positive mindset (0.65 [0.49–0.86]), perceived safety at school (0.62 [0.47–0.82]), and perceived social support from one’s mother (0.54 [0.40–0.72]) were associated with lower odds of recent depression. Taken together, our findings suggest that parents and teachers should talk regularly with adolescents about recent life (dis)satisfaction and stressors, particularly when they report frequent thoughts of school refusal. Perceived social support would increase perceived safety on school grounds and make it easier for teenagers to share their concerns with parents, thereby reducing the risk for depressive symptoms. School-based programs that promote a positive mindset would be helpful in preparing students for the challenges of adulthood.

Clustering of Health-Related Behavior Patterns and Demographics. Results From the Population-Based KORA S4/F4 Cohort Study.

Background: Health behaviors are of great importance for public health. Previous research shows that health behaviors are clustered and do not occur by chance. The main objective of this study was to investigate and describe the clustering of alcohol consumption, nutrition, physical activity and smoking while also considering the influence of sex, age and education.Methods: Using data from the population-based KORA S4/F4 cohort study, latent class regression analysis was undertaken to identify different clusters of health behavior patterns. The clusters were described according to demographics. Furthermore, the clusters were described regarding health-related quality of life at baseline and at a 7 year follow-up.Results: Based on a sample of 4,238 participants, three distinct classes were identified. One overall healthy class and two heterogeneous classes. Classes varied especially according to sex, indicating a healthier behavior pattern for females. No clear association between healthier classes and age, education or physical and mental health-related quality of life was found.Discussion: This study strengthens the literature on the clustering of health behaviors and additionally describes the identified clusters in association with health-related quality of life. More research on associations between clustering of health behaviors and important clinical outcomes is needed.

An Empirical Analysis of Korean Traditional Dietary (Hansik) Choices Considering Consumers’ Health Status and Attitude

This study aims to discover the health-related lifestyles about Korean traditional dietary (Hansik) choices. We identified which food items are widely perceived as Hansik based on the 2013~2015 Korea National Health and Nutrition Examination Survey (KNHANS) data and investigated distinct patterns of health-related status and behaviors using cluster analysis. Relying on a Tobit approach, we found that age, region, education level, household income, number of household members and marriage status significantly contributed to individual’s rate of Hansik consumption. We also found that the group with relatively younger people characterized by a busy lifestyle and more social activities, those who showed a higher household income, and people who live in metropolitan areas tended to consume less Hansik dietary. We also highlighted that the group with unhealthy lifestyles and risk-averse(cluster 4) tended to consume more Hansik dietary, while the group with healthy lifestyles and risk-prone habits(cluster 2) were likely to consume less Hansik dietary. Regarding policy implications, the result of our study can be used to develop a tailor-made strategy for each group of clusters aimed at increasing Hansik consumption.

Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school - based health survey (PeNSE 2015)

BackgroundThere is a lack of evidence regarding clusters of health-related behaviors among adolescents from low, lower-middle, and upper-middle income countries. This study aimed to identify clustering patterns of health-related behaviors (diet, physical activity [PA] and sedentary behavior [SB]) and association with sociodemographic variables among a population-based sample of Brazilian adolescents.MethodsCross-sectional data from the 2015 National School-Based Health Survey (PeNSE). A total of 102,072 (females: 51.7%) students in ninth-grade (age: 14.3 ± 1.1 years-old) enrolled in public and private schools were investigated in this study. Healthy and unhealthy diet, PA and SB were measured using a validated questionnaire. Two-step cluster analysis was conducted to identify lifestyle patterns. The methodology for complex analysis and weighting was used to inferential statistical procedures. Multinomial logistic regression assessed associations between sociodemographic factors and the clusters.ResultsThree reliable and meaningful clusters were identified and labelled as follows: (1) health-promoting SB and diet (32.6%); (2) health-promoting PA and diet (44.9%), and (3) health-risk (22.5%). Compared to boys, girls were less likely to be in clusters 1 (OR = 0.85; 95% CI = 0.78–0.93, p < 0.001) and 2 (OR = 0.43; 95% CI = 0.40–0.46, p < 0.001) than the health-risk cluster. Higher socioeconomic status was positively associated with health-promoting PA and diet, and negatively related to health-promoting SB and diet. Older adolescents were more likely to be in cluster 1 than in cluster 3, compared to younger adolescents.ConclusionApproximately one-quarter of the population (health-risk cluster) reported engaging in multiple risk behaviors. Interventions may need to be tailored to specific adolescent groups, especially considering sociodemographic differences.

Health-related behavior patterns of cancer patients determined by socio-demographic variables

Abstract Introduction. Health practices have been a subject of theoretical and empirical discussions among experts from various fields of knowledge. They are analyzed more and more closely, regarding their connection with specific diseases. Because cancer is one of the main causes of death in Poland, it is very important to learn more about pro-health behaviors undertaken by cancer patients. Aim. An attempt was made to establish if pro-health activities and their separate categories regarding cancer patients are preconditioned by socio-demographic variables. Material and methods. The research was conducted on the group of 100 cancer patients. Diagnostic poll method, survey technique was used when conducting this study. Health Behavior Inventory (HBI) by Zygfryd Juczyński was the research tool. STATISTICA 12 and Microsoft Office Excel were used to analyze the gathered data. Statistical significance of p&lt;0.05 was assumed which indicated statistically important differences or correlations. Results. There was no association between sex, marital status, place of residence, education level, financial situation and prohealth activities undertaken by cancer patients. Average HBI score for the whole group amounted to 78.47±15.80 which is average. The highest level of pro-health behavior was observed in Proper Eating Habits subscale and the lowest level of pro-health behavior was observed in Health Practices category. Conclusions. The knowledge gained on the basis of the conducted research will constitute a valuable hint regarding deficits in the observance of the principles of health culture in patients with cancer.

Patterns of health-related behaviours among adolescents: a cross-sectional study based on the National Survey of School Health Brazil 2012

ObjectivesThe aim of this study was to analyse the clustering of multiple health-related behaviours among adolescents and describe which socio-demographic characteristics are associated with these patterns.DesignCross-sectional study.SettingBrazilian schools assessed by...

Comparison of Health-related Behavior Patterns of Boys and Girls in Germany: Results of the MoMo Study

For optimal health promotion in adolescents, it is important to know their typical behavior patterns. The aims of this study were to identify and compare sex-specific health-related behavior patterns of adolescents in Germany. The KiGGS Survey and the MoMo Study assessed the health behavior of 832 boys and 811 girls by means of a questionnaire. The indices physical activity, diet quality and media use were included in cluster analyses for boys and girls separately. For each sex, 4 clusters with similar characteristics on the three included indices were identified. However, cluster size, level of the characteristics and correlates were different in boys and girls: fewer girls showed high activity levels. Overall, physical activity and media use were less pronounced in the behavior pattern of girls. There was a stronger association of behavior patterns with socio-economic status in girls. In boys, behavior patterns were significantly associated with prevalence of overweight. The similar cluster solutions for boys and girls support the assumption that there are typical health-related behavior patterns among German adolescents. This finding might facilitate the precise definition of homogeneous target groups for health promotion programs. Furthermore, it seems that sex-specific foci should be set.

Health-related behaviors and comorbidities in people with epilepsy: Changes in the past decade.

We aimed to explore the patterns of health-related behaviors (HRBs) such as smoking and physical activity in people with epilepsy in the community and examine whether behaviors have changed over the past decade. We conducted a repeated cross-sectional study using data from a series of five cycles (2001-2011) of the Canadian Community Health Survey, a national population-based survey. The proportions and odds ratios with 95% confidence intervals for HRBs and comorbidities in people with epilepsy (PWE) compared to respondents without epilepsy were calculated for each survey over the 10-year period, and estimates were examined for changes over time. The study included 522,722 participants of whom 3,220 (0.6%) had epilepsy. The proportion of PWE who did not participate in physical activity decreased over time (2001 = 17.2%, 2010/2011 = 8.5%), as did the proportion of PWE who smoked cigarettes (2001 = 32.3%, 2010/2011 = 18.0%). PWE had consistently reduced alcohol consumption in comparison to the general population. Fewer than half of participants met the recommended daily guidelines for fruit and vegetable consumption. An apparent reduction in the prevalence of heart disease occurred in PWE (2001 = 11.7%, 2010/2011 = 4.0%), but not in people without epilepsy; however, similar trends were not observed for other cardiovascular comorbidities studied. Apparent improvements in smoking cessation and physical activity occurred in PWE. Despite these improvements, physicians should continue to counsel their patients on the importance of healthy lifestyle choices. Further exploration into the reasons for the apparent decrease in the prevalence of heart disease in PWE is warranted.

Risk Factors for Colorectal Cancer

In this review, modifiable and non-modifiable risk factors that contribute to development of colorectal cancer are discussed, exploring the role of genetics and heritable colon cancer syndromes along with medical comorbidities that influence risk. Socioeconomic factors that contribute to colorectal cancer risk are explored along with various health-related behavioral patterns such as obesity, smoking, and diet. Recent data suggesting changes in the incidence of colorectal cancer in the last decade is also reviewed. The rationale for a long-term population-based exploration of these issues is laid out to identify areas in which intervention can promote healthy behaviors, avoid disease, and optimize treatments.

Longitudinal associations of health-related behavior patterns in adolescence with change of weight status and self-rated health

Introduction Promoting a healthy lifestyle especially in adolescents is important because health-related behaviors adopted during adolescence most often track into adulthood [1] . Longitudinal studies are necessary for identifying health-related risk groups of adolescents. Multiple health behavior research may represent a useful approach towards a better understanding of the complexity of health-related behavior. The aim of this study was to examine the longitudinal association of health-related behavior patterns with change of weight status and self-rated health in adolescents in Germany. Methods Within the framework of the longitudinal German Health Interview and Examination Survey for Children and Adolescents (KiGGS) and the Motorik-Modul (MoMo), four clusters of typical health-related behavior patterns of adolescents have been previously identified [2] . Therefor the variables ‘physical activity’, ‘media use’ and ‘healthy nutrition’ were included. In the current study longitudinal change of objectively measured weight status ( n = 556) and self-rated health ( n = 953) in the clusters was examined. Statistical analyses comprised ANOVA with repeated measurements and t -tests for paired samples. Results The prevalence of overweight increased in all four clusters. The health-related behavior pattern of low activity level with high media consumption and low diet quality had the strongest increase in prevalence of overweight, while the smallest and non-significant increase was found with the behavior pattern of a high physical activity level and average media consumption and diet quality. Only some significant relationships between health-related behavior patterns and change in self-rated health were observed. Conclusions High-risk patterns of health-related behavior were identified. Further, cumulative as well as compensatory effects of different health-related behaviors on each other were found. The information gained in this study contributes to a better understanding of the complexity of health-related behavior and its impact on health parameters and may facilitate the development of targeted prevention programs.