Lifestyle patterns associated with common mental disorders in Brazilian adolescents: Results of the Study of Cardiovascular Risks in Adolescents (ERICA)

The association between lifestyle factors and mental health has been evaluated in isolation; however, there has been a lack of information about lifestyle patterns and Common Mental Disorders (CMD) in adolescents. Therefore, the present study aims to assess the association between sets of lifestyle patterns and the occurrence of CMD in Brazilian adolescents evaluated in a national school-based cross-sectional survey. The outcome variable considered was presence of CMD. Lifestyle patterns were identified from the Principal Component Analysis. Consumption of foods, water and alcoholic beverages, sleep, physical activity, and smoking were used to identify patterns as explanatory variables. Sociodemographic characteristics, administrative dependence of the school and, nutritional status, were considered adjustment factors in the regression model. A total of 70,427 adolescents were evaluated. The principal component analysis identified three lifestyle patterns: high consumption of ultra-processed foods and low consumption of unprocessed or minimally processed foods (pattern 1); high consumption of alcoholic beverages and tobacco in the last 30 days (pattern 2); and high consumption of water and high level of physical activity (pattern 3). In the adjusted model, in patterns 1 and 2, the third tertile presented greater chance of CMD (OR 1.68; CI 95% 1.51–1.87 and OR 1.38; CI 95% 1.19–1.60, respectively). In pattern 3, the second (OR 0.88; CI 95% 0.80–0.96) and the third (OR 0.80; CI 95% 0.72–0.88) tertiles presented lower chances of CMD among the adolescents evaluated. Therefore, we suggest that health-promoting practices aimed at adolescents include multiple behaviors, with the objective of ensuring physical, mental, and social well-being.

The Impact of COVID-19 on Older Adults

Background The onset of the COVID-19 pandemic has dramatically influenced the health and well-being of older adults. Changes in lifestyle patterns has required reframing communication habits and learning new skills to maintain social connections and access healthcare. Objectives: To assess 1) well-being measured prior to and during the COVID-19 era; and 2) use and comfort level of technology for social interactions and telehealth visits during this time. Methods A mailed survey to a randomly selected national sample (>65) during the summers of 2018, 2019, and 2020. Measures included mental and physical well-being and various psychosocial measures. For 2020, questions related to COVID-19 and the use of technology were included. Results A total of 4,696 (2018), 3,976 (2019) and 2,726 (2020) responded to these surveys (response rate ~27%). Overall, most constructs remained stable despite the ongoing pandemic. Most respondents reported average or high resilience (90%), high purpose (48%), stable social networks (76%), and low stress (55%). However, loneliness increased during 2020 (57%). Respondents who used technology were more likely to connect with family and friends. Only 43% reported high comfort with using technology, with older age (>75) less comfortable. At the time of the survey 37% had not seen a healthcare provider through telehealth services, and 15% felt their healthcare needs were not met by a telehealth experience. Conclusion Results demonstrate that respondents were doing well during COVID-19. Yet increases in loneliness and greater technology needs to stay socially connected and to access healthcare may result in negative long-term health outcomes.

Characterization and Analysis of Household Solid Waste Composition to Identify the Optimal Waste Management Method: A Case Study in Hanoi City, Vietnam

A survey on household solid waste generation and physical composition was conducted in Hanoi City, the capital of Vietnam. The study sampled 110 households in specific areas with different population density and household scale. Household solid waste was classified into 13 main categories and 25 sub-categories. The results showed that average generation rate of waste in Hanoi City is 0.63 kg per person per day with a slightly higher rate in rural areas than urban ones. The largest proportion was food and garden waste at 78.9% followed by plastic and paper. Plastic waste was segregated into plastic and nylon, and nylon was double that of plastics in household solid waste. Compared to previous studies, this study found a higher portion of organic matter in the waste characterization that could be attributed to the changes in lifestyle patterns associated with COVID-19. This situation provides challenges and opportunities for introducing biomass technology to recover energy.

Positioning Produk Pertanian Organik

The trend of organic agriculture is currently experiencing an increase, changes in people's lifestyle patterns have made a shift in consumption patterns from non-organic to organic. There is a process of competition in a very tight marketing world where companies or producers must be able to compete in the market, one of which is by implementing a marketing strategy through Positioning. This study aims to determine what are the factors that influence the positioning of organic agricultural products in Kebonpedes Subdistrict, Sukabumi Regency. This research uses descriptive research with explanatory methods and quantitative approaches, while the type of sampling used is snowball sampling. Based on the results and discussion of the analysis carried out in this study partially it was stated that six factors had no significant effect on the positioning of organic products in Kebonpedes District, namely quality, service, price, use, brand, benefits and one significant influence factor, namely competitors, while simultaneously quality, service, price, usage, brand, benefits and competitors have a significant together.

Exploring the Relation between Atopic Diseases and Lifestyle Patterns among Adolescents Living in Greece: Evidence from the Greek Global Asthma Network (GAN) Cross-Sectional Study

Introduction: Diet and physical activity might be associated with the risk of allergic diseases in childhood. However, evidence in literature is sparse and diverse. We aim to examine the associations between four healthy dietary consumption pattern drinks, plus the adherence to a physically active lifestyle with atopic diseases (asthma, allergic rhinitis and eczema) in adolescence and their relative importance. Methods: A total of 1934 adolescents (921 boys, 47.5%) and their parents completed a validated questionnaire assessing atopic diseases’ symptoms prevalence in the past 12 months, as well as nutritional and physical activity information. Four healthy dietary and one physical active lifestyle patterns were identified and logistic regression was applied to assess their relation with allergic diseases. Results: A high weekly consumption of fruits, vegetables and pulses and low consumption of unhealthy foods was negatively associated with all atopic symptoms while adherence to a physical active lifestyle was inversely associated with asthma and allergic rhinitis symptoms and dairy products with asthma and eczema symptoms in the past 12 months after adjustment for several confounders (all p < 0.05). Fruits, vegetables and pulses consumption per week emerged as the most important lifestyle pattern negatively associated for all atopic diseases, after the adjustment for all the remaining lifestyle patterns and confounders (all p < 0.05) Conclusions: Our findings suggest that a high fruit, vegetable and pulse intake should be the first lifestyle intervention every clinician and public health care worker evolving in the management of atopic adolescents should encourage and promote.

196Association of longitudinal lifestyle patterns with diabetes risk among sedentary and not-sedentary workers

Background Evidence from observational studies is limited regarding longitudinal patterns of lifestyles and diabetes onset. In occupational settings, physical activity at work is an important factor to consider when implementing health promotion. Methods This is a cohort study among 25,646 workers without diabetes in Japan. We calculated lifestyle scores using 5 low-risk lifestyle factors: no-smoking, avoiding heavy alcohol use, engaging exercise, avoiding sleep deprivation, and keeping healthy weight, yielding the total score of 0 to 5 each year. We identified lifestyle patterns over 3 years by group-based trajectory modelling. Diabetes was defined by blood glucose, HbA1c, or self-report. Hazard ratios (95% confidence intervals) for incident diabetes were calculated using Cox regression. Results We detected five lifestyle patterns from a whole sample. During a mean follow-up of 6.6 years, 2,223 developed diabetes. Overall, healthier lifestyles were associated with a lower diabetes risk. Among sedentary workers, the multivariable-adjusted hazard ratios (95% confidence intervals) were 1.00 (reference) for persistently unhealthy pattern, 0.70 (0.60, 0.80) for persistently moderately healthy pattern, 0.45 (0.38, 0.53) for persistently mostly healthy pattern, 0.38 (0.28, 0.52) for improved to completely healthy pattern, and 0.24 (0.17, 0.32) for persistently completely healthy pattern. Similar results were obtained among not-sedentary workers. Conclusions Healthier lifestyles were associated with a lower risk of developing diabetes among participants who were sedentary at work and those who were not sedentary at work, respectively. Key messages Adherence to healthy lifestyles is important to prevent diabetes for working adults regardless of occupational physical activity level.

HeartMath, Fitbit and COVID-19 - Tracking Movement in Stillness and Stillness in Movement

1. Background: The global COVID-19 lockdowns are unique psychological factors, requiring adjustment and coping. This illustrative, South African case study investigated the influence the COVID-19 lockdown context would have on meditation and physical activity. As these were lifestyle patterns the null hypothesis was of no change. 2. Method: The methodology consisted of quantitative and qualitative phases. The quantitative phase was an empirical, case study review of data from the author&rsquo;s HeartMath and Fitbit electronic devices, as from 9 November 2019 to 31 July 2021. This consisted of coherence and achievement data from the HeartMath Inner Balance application (app), as well as distance and activity data from the Fitbit app. The qualitative phase consisted of the selection and illustration of meditation sessions documented over lockdown. 3. Results: The highly significant increases in physical activity and meditation coherence and achievement collectively indicated significant health promotion over the COVID-19 Lockdown period. Subtle energetic, experiential descriptions of meditation apprehensions resonated and supported these quantitative findings. 4. Conclusions: COVID-19 lockdown has meant transformation, humility, and reordering of priorities. The meditation descriptions amplified information from the HeartMath and Fitbit electronic devices, together co-creating conscious, embodied, relationship science for discussion, instruction, and further research.

Relationship between rice farming and polygenic scores potentially linked to agriculture in China

Following domestication in the lower Yangtze River valley 9400 years ago, rice farming spread throughout China and changed lifestyle patterns among Neolithic populations. Here, we report evidence that the advent of rice domestication and cultivation may have shaped humans not only culturally but also genetically. Leveraging recent findings from molecular genetics, we construct a number of polygenic scores (PGSs) of behavioural traits and examine their associations with rice cultivation based on a sample of 4101 individuals recently collected from mainland China. A total of nine polygenic traits and genotypes are investigated in this study, including PGSs of height, body mass index, depression, time discounting, reproduction, educational attainment, risk preference, ADH1B rs1229984 and ALDH2 rs671. Two-stage least-squares estimates of the county-level percentage of cultivated land devoted to paddy rice on the PGS of age at first birth ( b = −0.029, p = 0.021) and ALDH2 rs671 ( b = 0.182, p < 0.001) are both statistically significant and robust to a wide range of potential confounds and alternative explanations. These findings imply that rice farming may influence human evolution in relatively recent human history.