Humans ; Obesity/prevention & control* ; Healthy Lifestyle

Humans ; Obesity/prevention & control* ; Healthy Lifestyle

Humans ; Blood Pressure/physiology* ; Hypertension/prevention & control* ; Body Mass Index ; Healthy Lifestyle

Objective: To investigate the associations between the numbers of healthy lifestyles and overweight/obesity and abdominal obesity in adult twins in Shanghai. Methods: Based on the Shanghai Twin Registry System Phase Ⅱ survey data in 2017-2018, a case-control study was conducted to analyze the association between healthy lifestyles and obesity and further adjusted for confounders by a co-twin control study. Results: A total of 7 864 adult twins (3 932 pairs) were included. In the co-twin case-control analysis for monozygotic twins, compared with participants with 0 to 2 healthy lifestyles, those with 3 and 4 to 5 healthy lifestyles had a 49% (OR=0.51, 95%CI: 0.28-0.93) and 70% (OR=0.30, 95%CI: 0.13-0.69) lower risk of overweight/obesity, respectively, and a 17% (OR=0.83, 95%CI: 0.44-1.57) and 66% (OR=0.34, 95%CI: 0.14-0.80) lower risk of abdominal obesity, respectively. For each additional healthy lifestyle, the risk of developing overweight/obesity was reduced by 41% (OR=0.59, 95%CI: 0.42-0.85), and the risk of developing abdominal obesity was reduced by 37% (OR=0.63, 95%CI: 0.44-0.90). Conclusion: An increasing number of healthy lifestyles was associated with a marked decreased risk for both overweight/obesity and abdominal obesity.
Adult ; Humans ; Case-Control Studies ; China/epidemiology* ; Healthy Lifestyle ; Obesity/epidemiology* ; Obesity, Abdominal/epidemiology* ; Overweight/epidemiology* ; Twins, Monozygotic

BACKGROUND: Severe liver disease (SLD), including cirrhosis and liver cancer, constitutes a major disease burden in China. We aimed to examine the association of genetic and healthy lifestyle factors with the incidence and prognosis of SLD. METHODS: The study population included 504,009 participants from the prospective China Kadoorie Biobank aged 30-79 years. The individuals were from 10 diverse areas in China without a history of cancer or liver disease at baseline. Cox regression was used to estimate adjusted hazard ratios (HRs) for incident SLD and death after SLD diagnosis associated with healthy lifestyle factors (smoking, alcohol, physical activity, and central adiposity). Additionally, the contribution of genetic risk for hepatitis B virus (HBV, assessed by genetic variants in major histocompatibility complex, class II, DP/DQ [ HLA - DP / DQ ] genes) was also estimated. RESULTS: Compared with those with 0-1 healthy lifestyle factor, participants with 2, 3, and 4 factors had 12% (HR 0.88 [95% confidence interval [CI] 0.85, 0.92]), 26% (HR 0.74 [95%CI: 0.69, 0.79]), and 44% (HR 0.56 [95%CI: 0.48, 0.65]) lower risks of SLD, respectively. Inverse associations were observed among participants with both low and high genetic risks (HR per 1-point increase 0.83 [95%CI: 0.74, 0.94] and 0.91 [95%CI: 0.82, 1.02], respectively; Pinteraction = 0.51), although with a non-significant trend among those with a high genetic risk. Inverse associations were also observed between healthy lifestyle factors and liver biomarkers regardless of the genetic risk. Despite the limited power, healthy lifestyle factors were associated with a lower risk of death after incident SLD among participants with a low genetic risk (HR 0.59 [95%CI: 0.37, 0.96]). CONCLUSIONS Lifestyle modification may be beneficial in terms of lowering the risk of SLD regardless of the genetic risk. Moreover, it is also important for improving the prognosis of SLD in individuals with a low genetic risk. Future studies are warranted to examine the impact of healthy lifestyles on SLD prognosis, particularly among individuals with a high genetic risk.
Humans ; Prospective Studies ; Incidence ; East Asian People ; Healthy Lifestyle ; Risk Factors ; Liver Neoplasms ; Prognosis ; China/epidemiology*

The paradox of increasing health needs and limited health resources prompted a change in the traditional concept of disease prevention and control, and the concept of proactive health has emerged. Proactive health aimed to prevent and control disease and improve the body's immunity by using controlled methods and means to activate the body's self-healing ability and to identify foreign harmful substances as well as damage factors and tumor cells that the body itself may produce while giving full play to individual initiative. With the continuous development of science, people could maintain and improve their immune system from many aspects, which could be roughly divided into nonpharmaceutical interventions and pharmaceutical interventions. Nonpharmacological interventions included changing lifestyles and habits, adjusting the nutritional structure and intake of food, regulating mindsets and emotions, and improving the living and working environment, etc. This review systematically elaborated on the functions and molecular mechanisms of nutrition, exercise, sleep, and emotion in regulating immunity, to provide some scientific evidence and theoretical support for proactive health.
Humans ; Cancer Vaccines ; Immunotherapy ; Life Style ; Nutritional Status ; Healthy Lifestyle

Humans ; Child ; Adolescent ; Cardiovascular Diseases/prevention & control* ; Healthy Lifestyle ; Life Style ; Primary Prevention

Objective: To examine the prevalence of 'healthy lifestyle' from data extracted from the China Kadoorie Biobank (CKB) of 0.5 million adults from ten areas across China. Methods: After excluding participants with self-reported histories of coronary heart disease, stroke or cancer, a total of 487 198 participants at baseline (2004-2008) and 22 604 participants at second survey (2013- 2014), were included for analysis. 'Healthy lifestyle' was defined as haing the following characteristics: a) never smoking or having stopped smoking for reasons other than illness; b) alcohol drinking <25 g/day (men)/<15 g/day (women); c) diet rich in vegetables, fruits, legumes and fish, but low in red meat; d) upper quarter of the physical activity level; e) body mass index of 18.5-23.9 kg/m(2) and waist circumstance <85 cm (men)/80 cm (women). We calculated the healthy lifestyle scores (HLS) by counting the number of all the healthy lifestyle factors, with a range from 0 to 6. Results: At baseline, prevalence rates of the above five healthy lifestyles (except physical activity) were 70.6%, 92.6%, 8.7%, 52.6% and 59.0%, respectively, with the mean HLS being 3.1±1.2. Most participants (81.4%) had2-4 healthy components, while only 0.7% (0.2% in men and 1.0% in women) of all the participants had all six healthy lifestyles. Participants who were women, at younger age, with more schooling and rural residents, were more likely to adhere to the healthy lifestyle. After ten years, the mean HLS showed a slight decrease. Conclusion: The prevalence of optimal lifestyles in Chinese adults appeared extremely low. Levels of 'healthy lifestyle' varied greatly among those populations with different socio-demographic characteristics across the ten areas in China.
Adult ; Asian People/statistics & numerical data* ; China ; Female ; Healthy Lifestyle ; Humans ; Life Style ; Male ; Prevalence ; Risk Factors

Objective: To examine the associations between family history of major chronic diseases and healthy lifestyle in adults in China. Methods: Data were from the baseline and second survey of China Kadoorie Biobank study, which were conducted during 2004-2008 and 2013-2014, respectively. After excluding participants with self-reported histories of coronary heart disease, stroke, cancer or diabetes, a total of 461 213 adults from baseline survey and 20 583 adults from second survey were included in the current study. Participants who reported a family history of acute myocardial infarction, stroke, cancer, or diabetes of any first-degree relative (i.e., biological father, mother, or siblings) were defined as having a family history of major chronic diseases. Healthy lifestyles were defined as current nonsmoking, non-excessive alcohol drinking, eating vegetables and fruits daily, upper quarter of physical activity level, body mass index (BMI) of (18.5-23.9) kg/m(2), and waist- to-hip ratio (WHR) <0.90 (man)/<0.85 (women). Results: At baseline survey, 36.5% of the participants had family history of major chronic diseases. Proportions of the above six healthy lifestyles were 70.5%, 93.0%, 18.0%, 25.0%, 53.4%, and 43.5%, respectively. Compared with participants without family history, the proportions of current nonsmoking, non-excessive drinking, normal BMI, and normal WHR were lower in participants with family history of major chronic diseases, while the proportions of eating vegetables and fruits daily, and being physically active, were higher. In general, the absolute differences in these proportions between participants with and without a family history were only slight. Similar results were observed when other family history status (the type or number of disease, the category or number of affected family members) were analysed. The association between family history of major chronic diseases and healthy lifestyles was consistently observed in the second survey 10 years later. Conclusion: In Chinese population, adults with family history of major chronic diseases did not adopt healthier lifestyles.
Adult ; Body Mass Index ; China/epidemiology* ; Chronic Disease/ethnology* ; Female ; Healthy Lifestyle ; Humans ; Risk Factors ; Waist-Hip Ratio

PURPOSE: Myocardial infarction can occur due to known risk factors and lifestyle choices. The difficulties that patients experience after discharge can lead to readmission and nonadherence to lifestyle change. The purpose of this study was to analyze the difficulties experienced by patients after hospitalization due to myocardial infarction and to identify the predictors of readmission and unchanged lifestyles. METHODS: The study used a mixed-methods design across 106 patients who had experienced a first episode of acute myocardial infarction. The data were collected from two patient interviews and the patients' medical records. A logistic regression was used to predict unchanged lifestyle and readmission. RESULTS: In the first interview, 74.5% of the patients reported receiving information prior to discharge. Six months after discharge, 80.2% mentioned that they had changed their lifestyles, but only 59.4% reported that their health had improved, and 75.5% continued to have concerns regarding their health. Patients described difficulties with regard to psychological problems, family dynamics, professional issues, problems with managing cardiovascular symptoms, and complications associated with hospital interventions. A follow-up assessment revealed that 12.3% of patients had been readmitted for cardiovascular disease. CONCLUSIONS: The analysis revealed significant predictors of readmission amongst patients with hypertension and three-vessel disease. Specifically, the number of people in the household, per capita income, and a lack of information/education provided at discharge as well as problems related to mental health after discharge predicted unchanged lifestyle. An educational program might be advantageous to clarify doubts and involve patients in their own disease management.
Activities of Daily Living ; Adult ; Attitude to Health/ethnology ; Female ; Follow-Up Studies ; Health Education/methods ; Healthy Lifestyle ; Humans ; Male ; Middle Aged ; Myocardial Infarction/ethnology/psychology/*therapy ; Patient Readmission/statistics & numerical data ; Portugal/ethnology ; Risk Factors ; Self Care