Physical Inactivity Increases Impairment of Daily Activities Due to Pain in Workers: An Ordinal Regression Logistic and Correspondence Analysis.

Background: The evidence for the health benefits of physical activity is growing; however, the prevalence of unhealthy lifestyles continues to contribute to the increase in chronic non-communicable diseases. We know that occupational-time physical activity does not provide the same benefits as leisure-time physical activity, which has been shown to reduce mortality and pain. We also know that multiple factors influence pain; however, there are no studies that specifically analyze the impact of type of working time and occupational-time physical activity on the impairment of daily activities due to pain. We aimed to study the influence of both personal and occupational factors on the impairment of daily activities due to pain, assessing whether leisure-time physical activity acts as a protective factor. Methods: A cross-sectional, population-based design was used based on the 2017 National Health Survey in Spain (ENSE). Sociodemographic, leisure-time physical activity, and work-related variables were collected. The outcome variable was the impairment of daily activities due to pain. Ordinal logistic regression was applied, and the analysis was complemented with simple correspondence analysis. Results: A total of 1,441 workers between 18 and 65 years of age were studied. Significant differences were found between sexes for all variables except age and leisure-time physical activity. Logistic regression revealed significant associations between sex, primary and secondary education levels, no leisure-time physical activity, and overweight with impairment of daily activities due to pain. Simple correspondence analysis showed that the categories doing leisure-time physical activity several times a week as well as several times a month are closer to the categories of little or no pain. Conclusion: Female gender, low educational level, overweight, and lack of leisure-time physical activity were associated with increases in impairment of daily activities due to pain. Occupational-time physical activity and work shift were not related to impairment of daily activities due to pain. Implications for Occupational Health Practice: Occupational Health Nursing interventions through education and counseling on the importance of leisure-time physical activity promotion programs potentially can reduce the impairment of daily activities due to pain in working populations.

Relationship between commonly defined metabolic health phenotypes and obesity with lung function in a working population: A cross-sectional study.

BACKGROUND: Four phenotypes relate metabolism and obesity: metabolically healthy (MHO) and unhealthy (MUO) people with obesity and metabolically healthy (MHNO) and unhealthy (MUNO) people without obesity. No studies have addressed the association between these categories and lung function in the working population. OBJECTIVES: The aim was to determine the relationship of phenotypes to lung ageing as measured by lung age and its relationship to lung dysfunction. METHODS: A descriptive cross-sectional study was conducted in a working population. The outcome variable was lung function assessed by lung age. The four phenotypes of obesity and metabolic health (MHNO, MHO, MUO and MUNO) were determined using NCEP-ATP III criteria. Lung dysfunctions were classified into restrictive, obstructive, and mixed patterns. RESULTS: The mean age of the participants was 43.7 years, ranging from 18 to 67 years. Of the 1860 workers, 51.3 % were women. The prevalences found were 71.4 %, 12 %, 10.6 % and 6 % for MHNO, MUO, MHO, and MUNO, respectively. MHO (ß = 0.66; p = 0.591) was not associated with increased lung ageing compared with MHNO, but MUO (ß = 7.1; p < 0.001) and MUNO (ß = 6.6; p < 0.001) were. Concerning pulmonary dysfunctions, MUNO (OR = 1.93; p < 0.001) and MUO (OR = 2.91; p < 0.001) were found to be related to the presence of a restrictive pattern, and MUNO (OR = 2.40; p = 0.028) to the mixed pattern. CONCLUSION: The results show that metabolic abnormalities, not obesity, are responsible for premature lung ageing and, therefore, lung function decline. In our study, having obesity without metabolic abnormality was not significantly associated with the presence of dysfunctional respiratory patterns.

Adherence to dietary recommendations by socioeconomic status in the United Kingdom biobank cohort study.

Introduction: Understanding how socioeconomic markers interact could inform future policies aimed at increasing adherence to a healthy diet. Methods: This cross-sectional study included 437,860 participants from the UK Biobank. Dietary intake was self-reported. Were used as measures socioeconomic education level, income and Townsend deprivation index. A healthy diet score was defined using current dietary recommendations for nine food items and one point was assigned for meeting the recommendation for each. Good adherence to a healthy diet was defined as the top 75th percentile, while poor adherence was defined as the lowest 25th percentile. Poisson regression was used to investigate adherence to dietary recommendations. Results: There were significant trends whereby diet scores tended to be less healthy as deprivation markers increased. The diet score trends were greater for education compared to area deprivation and income. Compared to participants with the highest level of education, those with the lowest education were found to be 48% less likely to adhere to a healthy diet (95% Confidence Interval [CI]: 0.60-0.64). Additionally, participants with the lowest income level were 33% less likely to maintain a healthy diet (95% CI: 0.73-0.81), and those in the most deprived areas were 13% less likely (95% CI: 0.84-0.91). Discussion/conclussion: Among the three measured proxies of socioeconomic status - education, income, and area deprivation - low education emerged as the strongest factor associated with lower adherence to a healthy diet.

Association of a dietary inflammatory index with cardiometabolic, endocrine, liver, renal and bones biomarkers: cross-sectional analysis of the UK Biobank study.

BACKGROUND AND AIMS: Research into the relationship between an Energy-adjusted Diet-Inflammatory Index (E-DII) and a wider health-related biomarkers profile is limited. Much of the existing evidence centers on traditional metabolic biomarkers in populations with chronic diseases, with scarce data on healthy individuals. Thus, this study aims to investigate the association between an E-DII score and 30 biomarkers spanning metabolic health, endocrine, bone health, liver function, cardiovascular, and renal functions, in healthy individuals. METHODS AND RESULTS: 66,978 healthy UK Biobank participants, the overall mean age was 55.3 (7.9) years were included in this cross-sectional study. E-DII scores, based on 18 food parameters, were categorised as anti-inflammatory (E-DII < -1), neutral (-1 to 1), and pro-inflammatory (>1). Regression analyses, adjusted for confounding factors, were conducted to investigate the association of 30 biomarkers with E-DII. Compared to those with an anti-inflammatory diet, individuals with a pro-inflammatory diet had increased levels of 16 biomarkers, including six cardiometabolic, five liver, and four renal markers. The concentration difference ranged from 0.27 SD for creatinine to 0.03 SD for total cholesterol. Conversely, those on a pro-inflammatory diet had decreased concentrations in six biomarkers, including two for endocrine and cardiometabolic. The association range varied from -0.04 for IGF-1 to -0.23 for SHBG. CONCLUSION: This study highlighted that a pro-inflammatory diet was associated with an adverse profile of biomarkers linked to cardiometabolic health, endocrine, liver function, and renal health.

Influence of gestational weight gain on the nutritional status of offspring at birth and at 5 years of age.

OBJECTIVE: To determine the influence of pre-pregnancy maternal BMI and increases in maternal weight during pregnancy on perinatal and child outcomes at birth and at 5 years. RESEARCH DESIGN/SETTING: A prospective cohort study was conducted between November 2016 and December 2021. The participants were a total of 115 women-child dyads, selected from among pregnant women receiving routine prenatal care in different health centres belonging to 2 health districts. Follow-ups were conducted with the women during pregnancy and with their children during the 10 days after birth and at 5 years. FINDINGS: The total weight gain during pregnancy is influenced by an inadequate pre-pregnancy BMI (0.03; 95 % CI, 0.004 - 0.25; P=.001) and a greater increase in maternal BMI during the first and second term of pregnancy. A greater increase in BMI during pregnancy was associated with higher breastfeeding rates both in the short term (1.21; 95 % CI, 1.01-1.44; P = 0.04) and the long term (12 months: 1.30; 95 % CI, 1.02 - 1.67; P = 0.04; 24 months: 1.30; 95 % CI, 1.02 - 1.69; P = 0.04). No links were found between gains in maternal weight and the weight of the newborn, nor between maternal weight and/or pre-pregnancy BMI with the nutritional status of the child. KEY CONCLUSIONS: After studying these results, it was concluded that promoting and implementing health and education policies focused on enhancing maternal nutritional status is essential to improve the nutritional status of children. IMPLICATIONS FOR PRACTICE: Healthy gestational weight gain (GWG) is an important issue to be addressed by the midwife in primary care, both in the preconception period and throughout pregnancy. As a result, it is important that the midwife is trained and has the appropriate resources and tools to work with pregnant women individually and collectively. In addition to paying attention to overweight and obese pregnant women, the midwife should also pay attention to women with a normal BMI, as they seem to have greater difficulty in maintaining a healthy weight gain. Another line of intervention to be addressed is breastfeeding (BF), where the midwife should be the main point of reference from the beginning of this process, taking into account the relationship between BMI and BF.