Differences In Health-related Factors Research Articles

Do generations differ in sports participation and physical activity over the life course? Evidence from multiple datasets

ABSTRACTGenerational differences in health-related factors will affect forecasts of future disease patterns and health care needs. We studied whether participation in sports activity and being physically active are different between 10-year generations over a part of their life course. We used three different datasets on Dutch adults: a cohort study running for 20 years, the Doetinchem Cohort Study (DCS), multiple yearly databases (2001–2015) from the Netherlands health interview study (HIS), and a retrospective cohort study on life time sports careers, the Sports Participation Monitor (SPM). Based on a different questionnaire in each study, frequencies of weekly sport participation and being physically active according to recommended levels were determined by generation and sex. All data sets showed that self-reported sport participation has been increasing with every 10-year generation already for many decades. Especially for those generations born in the 1930s up to the 1960s, sport participation is higher compared to their predecessors. For instance at age 50, 43% of those born in the 1940s engaged in sports activities compared to 55% of those born in the 1950s (DCS data). Physical activity according to recommended levels showed no systematic differences by generation.In conclusion, favourable generation-specific trends in participation in sports activities are found: recent generations are doing better than the older generations. It is unclear whether this also reflects higher levels of physical activity or lower levels of inactivity. Future research may reveal whether these developments also hold for other countries, and whether these developments continue for the younger generations.

Association of daily physical activity level with health-related factors by gender and age-specific differences among Korean adults based on the sixth (2014-2015) Korea national health and nutrition examination survey

[Purpose]This study examined the effects of daily physical activity level on health-related factors according to gender and identified age-specific differences among Korean adults. [Methods]Using data from the Korea National Health and Nutrition Examination Survey VI (2014-2015), we selected adults aged 19-64 years who participated in both a health examination and health interview survey. The study included 6,457 participants 19-64 years of age (2,611 men, 3,846 women). [Results]Assessment of the differences in health-related factors according to age and physical activity in men and women by repeated two-way analysis of variance (ANOVA) revealed significant interaction effects on total cholesterol (TC) and triglyceride (TG) levels and diastolic blood pressure (DBP) in male participants, but there were no significant interaction effects for any health-related factors in female participants. The group of female participants aged 40-64 years with daily physical activity levels over 200 kcal showed a significantly increased prevalence of 46% for dyslipidemia compared to that in female participants with daily physical activity levels below 200 kcal. Physical activity was positively correlated with weight and high-density lipoprotein cholesterol (HDL-C) levels in men 19-39 years of age, compared to weight, waist circumference (WC), body mass index (BMI), and DBP in men 40-64 years of age, and weight, WC, BMI, glycated hemoglobin (HbA1c) and triglyceride (TG) levels in women 19-39 years of age. In women 40- 64 years of age, physical activity was especially significantly positively correlated with weight, BMI, HDL-C and negatively correlated with fasting glucose and TG levels. [Conclusion]In male and female participants, the 40-64-year age group showed negative results for health-related factors compared to those in the 19-39-year age group. The higher the weight, WC, BMI, the higher is the physical activity level. Physical activity levels were significantly positively correlated with health-related variables.

Health-related Factors, Nutrition Knowledge and Dietary Habits among Nursing and Allied Health College Students

Purpose: This study compares the differences in health-related factors, nutrition knowledge and dietary habits between nursing and allied health college students. Methods: Nursing students(n=499) and allied health college students(n=402) were surveyed on their health-related factors, nutrition knowledge and dietary habits. Data were collected from two universities in A city, Korea. Data were analyzed through descriptive statistics, x 2 distribution and t-test, x 2 -test and Pearson correlation coefficient using SPSS 21.0. Results: The level of nutrition knowledge was higher among nursing students than students majoring in other fields. Scores regarding dietary habits were not significantly different between nursing students and other students. Conclusion: Nutritional education for college students is needed in order to improve their health. Nutritional education programs should be tailored to meet various needs of these students.

Chronic kidney disease among adult participants of the ELSA-Brasil cohort: association with race and socioeconomic position

BackgroundThere is increased interest in understanding why chronic kidney disease (CKD) rates vary across races and socioeconomic groups. We investigated the distribution of estimated glomerular filtration rate (eGFR), urinary albumin–creatinine...

Exploring gender differences in constellations of problem behaviors and associated health-related factors during adolescence

Using data from the National Longitudinal Study of Adolescent Health (Add Health), this study expands on previous research on adolescent problem behavior by (1) examining gender differences in patterns or ‘subgroups’ of adolescents based on self-reported problem behaviors and (2) identifying differences in health-related factors including service utilization, physical and mental health, and violent victimization across the identified gender-specific subgroups. The data used in this study were taken from Wave 2 of the National Longitudinal Study of Adolescent Health (Add Health) data and includes respondents under the age of 18 (n = 10,360). Based on 16 problem behavior items measuring delinquency, substance use, risky sexual practices, and status offending, latent class analyses identified a 4-class model for the male subsample and a 3-class model for the female subsample. Important differences in health-related factors were observed across the latent classes. However, these differences were fairly consistent for boys and girls. Implications for prevention and intervention strategies, specifically focusing on the intersection of juvenile justice and public health services, are discussed.