Journal of lifestyle medicine最新文献

Everyday physical activity plays an important part in health maintenance and disease prevention. Excess exercise, however, can cause detrimental effects on both physical and mental health. It can also hamper the quality of life to an extent that individual is unable to regulate this behavior. 'Addicted' exercisers are more likely to work out for intrinsic rewards and experience troubling feelings of deprivation. In comparison, 'committed' exercisers participate in physical activity for extrinsic benefits and, when they cannot exercise, do not experience extreme withdrawal symptoms. Sportspersons indulge themselves in long hours of training as a response of their quest to improve endurance and performance in the face of common setbacks. Recognizing the addiction to exercise is also a contentious idea and the aim of this article is to draw an attention towards the same. Exercise Addiction diagnosis needs employment of questionnaires such as Exercise Dependence Scale, Obligatory Exercise Questionnaire, and Exercise Addiction Inventory. They need to be employed in the pre-participation evaluation of an individual participating in any sports event. Physiotherapists are often the first to meet an individual with exercise addiction. Physiotherapists play an important role in diagnosis of exercise addiction as well as in prevention as they are aware of challenges of treating exercise addicted patients and develop specific approaches to deal with their issues. As if it goes unnoticed, the prognosis can even be fatal.

Background: Lifestyle has been one of the central subjects of increasing research interest worldwide and acknowledged as part of the relevant factors of an individual's health status. The World Health Organization defines health as a state of complete physical, mental, and social well-being, and not merely the absence of disease. The purpose of this study is to assess lifestyle status among high school and college students and to explore which sociodemographic variables have influenced such existing healthy lifestyle behaviors.

Methods: This is a descriptive cross-sectional study that was conducted among 230 students from the high school and college. The questionnaire included descriptive information and the Healthy Lifestyle Screening Tool (HLST) to assess lifestyle scores among students from the high school and college. Socio-demographic characteristics of students included were perceived family income, domestic status or people living with, school life satisfaction, happiness rate, and self-rated health status.

Results: The results of this study showed the significance of lifestyle status among high school and college students having total scores of 106.56 (SD = 28.11) and 100.9 (32.91) respectively. Sociodemographic and health-related characteristics had significance in perceived economic status, life satisfaction, health status, and happiness rate. Furthermore, healthy lifestyle subcomponents had significant differences in water, air, rest, exercise, nutrition, and trust.

Conclusion: Healthy lifestyle status among students both in high school and college is low specifically in components such as sunlight, water, air, rest, exercise, nutrition, temperance as well as the general physical condition. Adherence to healthy lifestyle behaviors among students are needing emphasis and guidance through promotion and education. Health education programs and promotions in institutions need to be carried out and be well-implemented for students to achieve and maintain healthy lifestyle behaviors.

Coronavirus disease 2019 (COVID-19), is an infectious disease caused by SARS-CoV-2 virus, a newly discovered coronavirus, the best strategy to deal with the infection is prevention aimed at reducing transmission in the community. This article aimed to using effective behavior change strategies are needed to control COVID-19. Social marketing facilitates the acceptance, rejection, modification, abandonment, or maintenance of particular behaviors by groups of individuals, often referred to as the target audience. The six-benchmark criteria for social marketing interventions include Behavior change, Customer research, Audience segmentation Marketing mix, Exchange, Competition. Social marketing can promote healthy behaviors. Perceived benefits of the preventive behaviors can be considered. Besides, media, advertising, and other methods to reach out to the consumers to inform and encourage them should be considered. For this purpose, a slogan and a logo should be designed and installed in all educational interventions and media such as posters, pamphlets, face-to-face training sessions, group discussion sessions, telephone counseling, and videos. Advertising using celebrities covering their faces with masks can persuade people to wear face mask. To promote health behaviors, professionals should pay attention to the segmentation of the target audience before providing any service. All plans should be piloted before implementation. Besides, information sources should be organized, and media that should be used to inform the target audience should be identified.

Background: High salt intake is responsible for some serious health consequences. This study aims to investigate the interrelationship between salt intake cognitive and behavioral factors and urinary sodium excretion levels in women.

Methods: A descriptive analytical cross-sectional study was conducted in two residential complexes in Ahvaz city, Iran. 260 female participants were selected using systematic random sampling. Data on salt-related cognitive factors, including knowledge, perceived susceptibility, perceived severity, attitude, intention, self-efficacy, and behavior, were collected using a validated questionnaire. To determine true salt intake, 24-hour urinary sodium excretion level was measured. Data was analyzed using Pearson correlation, one-way Anova, and linear regression tests.

Results: 81.2% of the participants' salt intake was higher than the WHO recommended value (5 grams/day). A significant relationship between sodium excretion level and knowledge (r = -0.332, p < 0.001), attitude (r = -0.144, p = 0.02), behavior (r = -0.130, p = 0.036), and perceived severity (r = -0.135, p = 0.03) was found. An R² of 0.134 demonstrates a 13.4% variation in urinary sodium excretion, associated with knowledge and perceived severity.

Conclusion: Future interventions should aim to improve all the salt-related cognitive factors with placing an emphasis on increasing salt-related knowledge and perceived severity.

Background: Globalization has impacted our food choice and the booming online food industry has made it available at the click of a button. Students staying away from home often fail to maintain a healthy diet and lifestyle, impacting their health.

Methods: A survey was conducted amongst interns of medical and dental colleges in Delhi. Simple Random Sampling was done to select every alternate intern as per the list provided by the colleges. The survey included questions on dietary, fitness and food hygiene habits and dental history. Demographic details such as height weight and living arrangements were collected. Dietary habits score and Fitness & Food hygiene score was calculated based on pre-set criteria. Association of poor dietary habits and hygiene with BMI, living conditions and dental history was determined.

Results: One-fourth of the population was either overweight or obese. Poor, fair and good dietary habits was seen in 8.9%, 69.8% and 21.4% respectively. Poor, fair and good fitness and food hygiene was seen in 56.3%, 39.6% and 4.2% respectively. Obesity was significantly associated with poor fitness scores and with tendency to order junk food. Consumption of sugary food was associated with positive dental history, and those living with parents displayed good dietary habit score.

Conclusion: Students with high stress levels and living away from home are susceptible to poor dietary routine which impacts both their health and academic performance. Identifying these problems and triggers which induce such unhealthy lifestyle behaviour can go a long way in controlling the resultant health problems.

Background: The intervention in the Lifestyle Medicine Clinic from La Carlota Hospital gives an opportunity to assess the clinical effect of a healthy lifestyle in an inpatient setting with emphasis in a plant-based diet, supervised daily exercise, sleep hygiene, psychological and optional spiritual therapies. This work evaluated the effect of short-term therapy on biometrics and blood profiles' risk factors for non-communicable diseases (NCDs).

Methods: Twenty-five patients were enrolled in the intervention, 12 for the 10-day intervention and 13 for the 21-day intervention.

Results: The intervention improved most of the NCDs risk factors for the 10-day intervention weight decreased by -4.3% (p < .001), BMI -4.1% (p < .001), SBP -16.3% (p = .002), DBP -11.8% (p = .004), fasting glucose -31.3% (p = .041), total cholesterol -12.8% (p < .001), LDL -13.9 (p = .017), triglycerides and HDL lack statistical significance, however, there was a reduction of -7.7% and -9% respectively. For the 21-day intervention weight decreased by -8.3% (p = .016), SBP -11.2% (p = .005), DBP -11.4% (p = .022), triglycerides -39.5% (p = .034), total cholesterol -23.6% (p < .000), HDL -14.7% (p = .038), LDL -27.3% p < .000), BMI and fasting glucose presented a -15.2% and -21.2% reduction respectively without statistical significance.

Conclusion: The present study confirms that short-term lifestyle interventions effectively reduce the risk factors associated with NCD's.

Background: Scarce information is available on circadian body temperature fluctuation in healthy healthcare workers.

Methods: Forehead temperature was measured with an infrared thermometer in 33 ostensibly healthy laboratory professionals (mean age, 43 ± 13 years; 76% females) throughout a regular working shift, from 800 AM to 300 PM, at 1-hour intervals.

Results: A significant difference was found at different times of the day by 1-way analysis of variance (F statistics, 13.79; p < 0.001). The lowest mean forehead temperature was 36.2 ± 0.3℃, recorded at 100 PM, whilst the highest was 36.7 ± 0.3℃, at 900 AM. The mean difference between forehead temperature at acrophase and nadir was 0.5℃ (95% CI, 0.3-0.6℃; p < 0.001). The forehead temperature measured between 900-1200 AM was also significantly higher than that measured between 100-300 PM (0.3℃; 95% CI, 0.2-0.4℃; p < 0.001). The mean intra-individual variation of forehead temperature was higher but not significantly different in men (1.0 ± 0.2%) compared to women (0.8 ± 0.3%; p = 0.112).

Conclusion: Fever screening protocols for purposes of coronavirus disease 2019 (COVID-19) and other infectious diseases monitoring should consider normal daily fluctuations in forehead temperature.