The increased risk of fractures with type 2 diabetes (T2D) is suggested to be caused by decreased bone turnover. Current international guidelines recommend lifestyle modifications, including ...exercise, as first-line treatment for T2D. The aim of this study was to investigate the effects of an exercise-based lifestyle intervention on bone turnover and bone mineral density (BMD) in persons with T2D.
Persons with T2D were randomized to either a 12-month lifestyle intervention (n = 64) or standard care (n = 34). The lifestyle intervention included five to six weekly aerobic training sessions, half of them combined with resistance training. Serum markers of bone turnover (osteocalcin, N-terminal propeptide of type-I procollagen, reflecting bone formation, and carboxyterminal collagen I crosslinks, reflecting bone resorption) and BMD (by DXA) were measured before the intervention and at follow-up.
From baseline to follow-up, s-propeptide of type-I procollagen increased by 34% (95% confidence interval CI, 17%-50%), serum-carboxyterminal collagen I crosslink by 36% (95% CI, 1%-71%), and s-osteocalcin by 31% (95% CI, 11-51%) more in the lifestyle intervention group compared with standard care. Loss of weight and fat mass were the strongest mediators of the increased bone turnover. Bone mineral density was unaffected by the intervention (ΔBMD, 0.1%; 95% CI, -1.1% to 1.2%).
A 12-month intensive exercise-based lifestyle intervention led to a substantial but balanced increase in bone turnover in persons with T2D. The increased bone turnover combined with a preserved BMD, despite a considerable weight loss, is likely to reflect improved bone health and warrants further studies addressing the impact of exercise on risk of fractures in persons with T2D.
Low compliance (LC) with lifestyle modification is a very common obstacle in obesity management. The purpose of the current study was to investigate the effectiveness of obesity management according ...to compliance with a lifestyle-modification program.
The "Change 10 Habits" program was administered four times over 12 weeks. Eighty-seven participants were divided into LC and high compliance (HC) groups for analysis after intervention. Then, to assess the program's effectiveness based on compliance, we conducted t-tests and linear regression modeling.
In week 12, the scores of two dietary habits-specifically, "eat three meals regularly, adequate amount" and "do not eat after 9:00 PM"-were significantly higher in the HC group than in the LC group. Changes in leg and total body fat percentages were significantly greater in the HC group (-0.2%±0.3% vs. 0.9%±0.3%,
<0.05; -0.1%±0.3% vs. 1.1%±0.5%,
<0.05, respectively). The body mass index was also significantly lower in the HC group than in the LC group (26.7±1.7 kg/m
vs. 27.7±2.1 kg/m
,
<0.05) at final follow-up. Finally, the systolic blood pressure, triglyceride, and very-low-density lipoprotein cholesterol values of the HC group also decreased significantly (from 117.9±12.2 to 114.3±15.0 mmHg,
<0.05; from 121.6±74.9 to 105.7±60.9 mg/dL,
<0.05; and from 24.3±15.0 to 21.1±12.1 mg/dL,
<0.05, respectively).
HC with the study program effectively improved the dietary habits, body fat composition, blood pressure, and lipid profile of adults with mild obesity.
Greater levels of psychological well-being are associated with reduced disease and mortality risk, and lifestyle habits may be potential mechanisms underlying these relationships. Prospective studies ...show that positive psychological factors enhance the likelihood of adopting specific health behaviors; yet, whether they promote the adoption of multiple healthy behaviors, which can have a multiplicative effect on disease and mortality risk compared to individual behaviors, is unknown. We investigated whether happiness and optimism were related to a healthy lifestyle (characterized by multiple health behaviors) over 10–22 years of follow-up; we also explored bidirectional associations, assessing if a healthy lifestyle at baseline was related to greater likelihood of experiencing higher happiness and optimism over time. Women reported levels of happiness in 1992 (N = 52,133) and optimism in 2004 (N = 36,802). Health-related behaviors (physical activity, body mass index, diet, alcohol and tobacco consumption) were self-reported and combined into a lifestyle score, every four years from baseline until 2014. Multivariable generalized estimating equations with a Poisson distribution were used. Women with moderate and higher (versus lower) happiness levels were more likely to report sustaining healthy lifestyles (RR = 1.18, CI = 1.11–1.25; RR = 1.39, CI = 1.32–1.46, respectively). In secondary analyses, the magnitude of the inverse association was somewhat smaller (likelihood of sustaining higher happiness levels for baseline healthy versus unhealthy lifestyle, RR = 1.11, CI = 1.10–1.12). Results were similar when considering optimism as the exposure and in other secondary analyses (e.g., across individual habits). While bidirectional associations are apparent, these findings suggest pursuing happiness and optimism as modifiable determinants of lifestyle deserves further consideration.
•Higher happiness and optimism levels were related to sustaining a healthy lifestyle.•These prospective relationships were evident over follow-up periods of 10–22 years.•The size of effect on improved lifestyle is enough to reduce stroke risk by 2–5%.•Relations were independent of age, sociodemographic factors, and depression.•Healthier lifestyle also led to future greater happiness and optimism levels.
The aim of the study was to analyze the relationship between lifestyle level and the risk of type 2 diabetes. The study included 206 respondents who were not diagnosed with diabetes and who were not ...elite or amateur athletes. The sample was divided into two sub-samples. The first group consisted of respondents aged 18-29 years (n = 104); the second group consisted of respondents aged 30-44 years (n = 102). The FINDRISC questionnaire was used to collect data for the purpose of assessing the risk of type 2 diabetes. The answers to 8 questions provided information about respondent's age, body mass index, waist circumference, physical activity, fruit and vegetable consumption, high-pressure medication, history of hyperglycemia and history of diabetes in the family. The results of the type 2 diabetes risk level indicated the following values: a low level was present in 55%; mild level in 33%; moderate level in 8%; and a high level in 4% of respondents. The results of the study indicated that quality of life decreases with age and the risk of diabetes increases. Therefore, it is important to familiarize people with how to control their weight, their eating habits and their regular physical activity as a preventive method. It is also important to recognize and apply global animation models to maintain and improve the health status of people.
Digital interventions have tremendous potential to improve well-being and health care conveyance by improving adequacy, proficiency, availability, and personalization. They have gained acknowledgment ...in interventions for the management of a healthy lifestyle. Therefore, we are reviewing existing conceptual frameworks, digital intervention approaches, and associated methods to identify the impact of digital intervention on adopting a healthier lifestyle.
This study aims to evaluate the impact of digital interventions on weight management in maintaining a healthy lifestyle (eg, regular physical activity, healthy habits, and proper dietary patterns).
We conducted a systematic literature review to search the scientific databases (Nature, SpringerLink, Elsevier, IEEE Xplore, and PubMed) that included digital interventions on healthy lifestyle, focusing on preventing obesity and being overweight as a prime objective. Peer-reviewed articles published between 2015 and 2020 were included. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and a framework for an evidence-based systematic review. Furthermore, we improved the review process by adopting the Rayyan tool and the Scale for the Assessment of Narrative Review Articles.
Our initial searches identified 780 potential studies through electronic and manual searches; however, 107 articles in the final stage were cited following the specified inclusion and exclusion criteria. The identified methods for a successful digital intervention to promote a healthy lifestyle are self-monitoring, self-motivation, goal setting, personalized feedback, participant engagement, psychological empowerment, persuasion, digital literacy, efficacy, and credibility. In this study, we identified existing conceptual frameworks for digital interventions, different approaches to provide digital interventions, associated methods, and execution challenges and their impact on the promotion of healthy lifestyle management.
This systematic literature review selected intervention principles (rules), theories, design features, ways to determine efficient interventions, and weaknesses in healthy lifestyle management from established digital intervention approaches. The results help us understand how digital interventions influence lifestyle management and overcome the existing shortcomings. It serves as a basis for further research with a focus on designing, developing, testing, and evaluating the generation of personalized lifestyle recommendations as a part of digital health interventions.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Sedentary lifestyle is a major modifiable risk factor for many chronic diseases. Global guidelines recommend for maintaining health in adults, at least 150 minutes of moderate intensity of physical ...activity throughout the week, but compliance is insufficient and health problems arise. One obvious way to overcome this is to integrate physical activity into the daily routine for example by active commuting to work. Scientific evidence, however, is scarce and therefore we set out to perform this systematic review of the available literature to improve understanding of the efficiency of active commuting initiatives on health. Literature searches were performed in PubMed and Cochrane database. Altogether, 37 studies were screened. Thereof, eight publications were reviewed, which included 555 participants. The mean study duration of the reviewed research was 36 ± 26 (8‐72) weeks. Overall, active commuting in previously untrained subjects of both sexes significantly improved exercise capacity, maximal power, blood pressure, lipid parameters including cholesterol, high‐density lipoprotein, and waist circumference. Improvement was independent of the type of active commuting. Despite relatively few studies that were previously performed, this review revealed that active commuting has health beneficial effects comparable to those of moderate exercise training.
Introduction: Sleep disorder commonly happens to teenagers and adults because of light exposure during sleep that affects sleep quality, but the relation of lamp light exposure during sleep and sleep ...quality of medical students hasn’t been determined previously. Objective: This research aimed to determine the relation of lamp light exposure and sleep quality of Universitas Airlangga’s medical students and to give further information about the right adjustment of lamp light exposure to improve the sleep quality of medical student. Methods: Variables in this cross-sectional designed research were lamp light exposure (on or off) as the independent variable and sleep quality as a dependent variable. The research used the PSQI questionnaire to decide the sleep quality of 115 subjects once a week in a month. The collected data were analyzed by chi-square and fisher’s exact test. Results: Based on the chi-square test, the p-value for lamp light exposure and sleep quality was more than 0.05 (p = 0.863). The results also showed that 74.8% of medical students had bad quality sleep. Conclusion : In conclusion, there was no relation between lamp light exposure and sleep quality. This research also indicated that most of the subjects had a bad sleep quality so that student should increase their needs for better sleep quality to maintain performance.
Healthy Lifestyle Centres (HLCs) are state-owned, free-of-charge facilities that screen for major noncommunicable disease risks and promote healthy lifestyles among adults older than 35 years in Sri ...Lanka. The key challenge to their effectiveness is their underutilisation. This study aimed to describe the underutilisation and determine the factors associated, as a precedent of a bigger project that designed and implemented an intervention for its improvement.
Data derived from a community-based cross-sectional study conducted among 1727 adults (aged 35 to 65 years) recruited using a multi-stage cluster sampling method from two districts (Gampaha and Kalutara) in Sri Lanka. A prior qualitative study was used to identify potential factors to develop the questionnaire which is published separately. Data were obtained using an interviewer-administered questionnaire and analysed using inferential statistics.
Forty-two percent (n = 726, 95% CI: 39.7-44.4) had a satisfactory level of awareness on HLCs even though utilisation was only 11.3% (n = 195, 95% CI: 9.80-12.8). Utilisation was significantly associated with 14 factors. The five factors with the highest Odds Ratios (OR) were perceiving screening as useful (OR = 10.2, 95% CI: 4.04-23.4), perceiving as susceptible to NCDs (OR = 6.78, 95% CI: 2.79-16.42) and the presence of peer support for screening and a healthy lifestyle (OR = 3.12, 95% CI: 1.54-6.34), belonging to the second (OR = 3.69, 95% CI: 1.53-8.89) and third lowest (OR = 2.84, 95% CI: 1.02-7.94) household income categories and a higher level of knowledge on HLCs (OR = 1.31, 95% CI: 1.24-1.38). When considering non-utilisation, being a male (OR = 0.18, 95% CI: 0.05-0.52), belonging to an extended family (OR = 0.43, 95% CI: 0.21-0.88), residing within 1-2 km (OR = 0.29, 95% CI: 0.14-0.63) or more than 3 km of the HLC (OR = 0.14, 95% CI: 0.04-0.53), having a higher self-assessed health score (OR = 0.97, 95% CI: 0.95-0.99) and low perceived accessibility to HLCs (OR = 0.12, 95% CI: 0.04-0.36) were significantly associated.
In conclusion, underutilisation of HLCs is a result of multiple factors operating at different levels. Therefore, interventions aiming to improve HLC utilisation should be complex and multifaceted designs based on these factors rather than merely improving knowledge.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Healthier lifestyle decreased the risk of mental disorders (MDs) such as depression and anxiety. However, research on the effects of a comprehensive healthy lifestyle on their progression is lacking.
...385,704 individuals without baseline MDs from the UK Biobank cohort were included. A composite healthy lifestyle score was computed by assessing alcohol intake, smoking status, television viewing time, physical activity, sleep duration, fruit and vegetable intake, oily fish intake, red meat intake, and processed meat intake. Follow-up utilized hospital and death register records. Multistate model was used to examine the role of healthy lifestyle on the progression of specific MDs, while a piecewise Cox regression model was utilized to assess the influence of healthy lifestyle across various phases of disease progression.
Higher lifestyle score reduced risks of transitions from baseline to anxiety and depression, as well as from anxiety and depression to comorbidity, with corresponding hazard ratios (HR) and 95 % confidence intervals (CI) of 0.94 (0.93, 0.95), 0.90 (0.89, 0.91), 0.94 (0.91, 0.98), and 0.95 (0.92, 0.98), respectively. Healthier lifestyle decreased the risk of transitioning from anxiety to comorbidity within 2 years post-diagnosis, with HR 0.93 (0.88, 0.98). Higher lifestyle scores at 2–4 years and 4–6 years post-depression onset were associated with reduced risk of comorbidity, with HR 0.93 (0.87, 0.99) and 0.92 (0.86, 0.99), respectively.
The generalizability to other ethnic groups is limited.
This study observed a protective role of holistic healthy lifestyle in the trajectory of MDs and contributed to identifying critical progression windows.
•Evidence is scarce on association between a holistic healthy lifestyle and depression and anxiety comorbidity.•Trajectory and time courses of mental disorders need consideration.•Healthy lifestyle adherence inversely linked to mental disorder progression and prognosis.•Each lifestyle score increase reduces depression to comorbid anxiety by 6% and anxiety to comorbid depression by 5%.•Important progression windows were detected in the protective role of a holistic healthy lifestyle.
In recent years, there has been a sharp decline in the population of Ukraine. For this reason, the promotion of measures aimed at maintaining and improving health is becoming increasingly important. ...Its implementation requires financial and social support from the state, which is essential. The purpose of this study is to determine the impact of economic and social factors on the adherence to a healthy lifestyle by medical school staff and future doctors. Methodology. The study involved 73 respondents in the age groups of 22-24 and 25-35, of whom 37 were students of 4-6 years of KNMU; 26 were KNMU educators and 10 were educators from V. N. Karazin KNU. The sociological research was conducted by means of a survey. The questionnaire was distributed using Google forms in the relevant groups on Viber, Telegram and Instagram. Results. When analysing the data of the study, the following data were obtained: the observance of a healthy lifestyle is mainly influenced by the lack of financial support, the lack of preferential conditions for the purchase of season tickets or sports equipment. In addition, there is a lack of safe places for mass sports and/or physical culture. Another factor that has a significant impact on the observance of a healthy lifestyle is insufficient health education, as none of the respondents mentioned the implementation of educational activities to clarify the importance and benefits of maintaining and improving one's health and the degree of responsibility that the individual bears. At the same time, the data obtained point to a number of issues that need to be addressed: firstly, it is necessary to improve the legal framework to ensure compliance with a healthy lifestyle; secondly, it is essential to implement measures to support and promote the maintenance of health, in particular the abandonment of bad habits. It is also advisable to provide funding for the creation of safe places for mass sports/physical culture and assistance in the provision of subscriptions and necessary sports equipment on preferential terms. Conclusion. Thus, summarising the above information, it can be concluded that the issue of supporting a healthy lifestyle requires close attention from the state, justification for attracting economic resources and society as a whole. The data obtained are a prerequisite for the development of measures to promote a healthy lifestyle, in particular the promotion and clarification of the positive consequences of observing and maintaining health, with mandatory visual confirmation and clear justification of this statement. At the same time, in order to implement this line of action, it is necessary to take into account the experience of the countries of the European Union, especially with regard to the improvement of the regulatory and legal framework.
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