Physical activity of individuals with Parkinson’s in social isolation before and during the pandemic COVID-19

The world has been hit by a pandemic caused by the new coronavirus (COVID 19), which has resulted in government recommendations and measures including social isolation to reduce the spread of the disease. In view of these recommendations, there were drastic changes in lifestyle, impacting the physical and mental health of men and women. Thus, this study aimed to investigate the practice of physical activity, according to sex, in individuals with Parkinson’s disease in social isolation before and during the COVID-19 pandemic. Cross-sectional observational study, based on an online questionnaire validated for individuals with Parkinson’s disease PAFPA/COVID19, in which 156 individuals of both sexes and degrees of the disease (I to V) were allocated, with a mean age of 63.70 ± 11.00 years and from different Brazilian regions. Chi-square, Fisher’s exact and binary logistic regression tests were used. It is observed that 92% of the participants were in social isolation, which caused negative effects on the level of physical activity of the participants, even though most of them doing physical activity online. In addition, it was found that those who participated in specific exercise programs for Parkinson’s disease, are less likely to be insufficiently active, as well as individuals who receive online guidance. Although social isolation is a necessary measure to combat COVID-19, the results show a negative effect of this social isolation on the parameters of physical activity in this population in different regions of Brazil. This suggests that better strategies for health promotion in order to increase levels of physical activity at home are necessary to reduce the physical inactivity lifestyle during the pandemic, in order to prevent diseases associated with social isolation and physical inactivity.

Physical inactivity in early pregnancy and the determinants in an urban city setting of Kuala Lumpur, Malaysia

Background Physical inactivity in pregnancy has been associated with excessive gestational weight gain, hypertensive disorders, gestational diabetes mellitus and postpartum depression. Despite these risks, physical inactivity level remains high especially in higher income countries. The prevalence of physical inactivity among women in Malaysia aged ≥16 years was 28.2% in 2019 exceeding men by 6.1%. However, little is known regarding the subpopulation of pregnant women especially in Kuala Lumpur which is the most urbanized and highly populated city in Malaysia. Therefore, the aim of this study is to measure the physical inactivity prevalence among first trimester pregnant women in Kuala Lumpur and to identify its determining factors. Methods This was a cross-sectional study in which 339 first trimester pregnant women were sampled from 13 maternal and child health clinics located in all four parliament districts of Kuala Lumpur. Self-administered questionnaires which contained the Malay version of the pregnancy physical activity questionnaire (PPAQ) were used. Descriptive analysis was conducted to determine the physical inactivity prevalence followed by simple and multiple logistic regression to identify the determinants of physical inactivity with significant level of 5%. Results The prevalence of physical inactivity was 38.3%. The highest activity was seen in the household activity domain, despite only 24.8% of the respondents were housewives/unemployed. There was little to no participation observed in the vigorous intensity category. The determinants of physical inactivity were primigravida (aOR 3.54 95% CI 1.40, 8.97), education level (aOR 3.77 95% CI 1.35, 10.52) and body mass index (aOR 0.88 95% CI 0.80, 0.97) which explained 22.6% variation of physical inactivity in the final adjusted model. Conclusion The prevalence of physical inactivity among first trimester pregnant mothers in this study was 38.3%, and the highest activity was seen in the household category. Health education on physical activity in pregnancy should be focused on those who are primigravida and have no tertiary education. The educational content should be updated and tailored to current pandemic situation where self-isolation is the new norm, by advocating for home-based, moderate to vigorous intensity physical activities.

The impact of current smoking, regular drinking, and physical inactivity on health care-seeking behavior in China

Background People with lifestyle behaviors, such as current smoking, regular drinking, and physical inactivity, may experience a lack of or delayed health care, leading to severe sickness and higher health care expenditures in the future. Hence, the current study aims to ascertain the effects of current smoking, regular drinking, and physical inactivity on health care-seeking behavior among adults who report physical discomfort in China. Methods The data used in this study were obtained from the China Family Panel Studies (CFPS). The final sample consisted of 44,362 individuals who participated in all five waves of data collection. Logistic regression models were used for the analysis. Results The results of fixed effects logistic regression showed that among those who reported physical discomfort, adults who currently smoked cigarettes were 0.65 times less likely to seek health care than those who formerly smoked. Compared to nondrinkers, adults who regularly drank alcohol had a decreased likelihood of seeking health care. Adults who never engaged in physical exercise had 24% lower odds of seeking health care than those who engaged in physical exercise. Conclusions Current smoking, regular drinking, and physical inactivity decreased the probability of seeking health care among adults who reported physical discomfort. Therefore, screening and brief advice programs should be delivered by primary-level care and should pay more attention to individuals who engage in lifestyle behaviors such as current smoking, regular drinking, and physical inactivity, thus avoiding missed opportunities to treat chronic conditions and detect new diseases early.

Tracking of Maternal Physical Activity and Sport Participation over 11 Years: Findings from the Czech ELSPAC Study

Purpose: Tracking of physical activity (PA) and sport participation (SP) during motherhood is poorly understood. The purpose of the study was to analyze the extent of tracking of maternal PA and SP. Methods: In this investigation, data were collected from the Czech ELSPAC study subsample of 4811 and 2609 women measured postnatally (1991–1992) and after 11 years of follow-up (2002–2003), respectively. The structured questionnaire was used to assess the participation and average weekly time spent in PA, and the frequency of engaging in different sports (running, cycling, strength training, racket sports, swimming, and team sports). Tracking was calculated using generalized estimating equations (GEE) with beta coefficients (β), odds ratios (ORs), and 95% confidence intervals (95% CI). Results: Moderately high tracking coefficients were observed for cycling (β = 0.69, 95% 0.67–0.72), strength training (β = 0.59, 95% 0.56–0.63), and weekly time spent in PA (β = 0.53, 95% 0.38–0.66); meanwhile, moderate tracking coefficients were generated for swimming (β = 0.48, 95% 0.44–0.52), team sports (β = 0.44, 95% 0.39–0.48), racket sports (β = 0.44, 95% 0.39–0.48), and running (β = 0.35, 95% 0.30–0.40). Mothers who did not participate in PA at baseline were 81% more likely not to participate in it at follow-up (OR = 1.81, 95% CI 1.53–2.13). Conclusion: Cycling- and strength-related activities and weekly PA were tracked moderately-to-moderately high during motherhood. Moreover, the strong tracking of physical inactivity indicates that the detection of this risk factor before pregnancy should be advocated.

Risk factors relate to the variability of health outcomes as well as the mean: a GAMLSS tutorial

Background: Risk factors or interventions may affect the variability as well as the mean of health outcomes. Understanding this can aid aetiological understanding and public health translation, in that interventions which shift the outcome mean and reduce variability are typically preferable to those which affect only the mean. However, most commonly used statistical tools do not test for differences in variability. Tools that do have few epidemiological applications to date, and fewer applications still have attempted to explain their resulting findings. We thus provide a tutorial for investigating this using GAMLSS (Generalised Additive Models for Location, Scale and Shape). Methods: The 1970 British birth cohort study was used, with body mass index (BMI; N=6,007) and mental wellbeing (Warwick-Edinburgh Mental Wellbeing Scale; N=7,104) measured in midlife (42-46 years) as outcomes. We used GAMLSS to investigate how multiple risk factors (sex, childhood social class and midlife physical inactivity) related to differences in health outcome mean and variability. Results: Risk factors were related to sizable differences in outcome variability-for example males had marginally higher mean BMI yet 28% lower variability; lower social class and physical inactivity were each associated with higher mean and higher variability (6.1% and 13.5% higher variability, respectively). For mental wellbeing, gender was not associated with the mean while males had lower variability (-3.9%); lower social class and physical inactivity were each associated with lower mean yet higher variability (7.2% and 10.9% higher variability, respectively). Conclusions: The results highlight how GAMLSS can be used to investigate how risk factors or interventions may influence the variability in health outcomes. This underutilised approach to the analysis of continuously distributed outcomes may have broader utility in epidemiologic, medical, and psychological sciences. A tutorial and replication syntax is provided online to facilitate this (https://osf.io/5tvz6/). Funding: DB is supported by the Economic and Social Research Council (grant number ES/M001660/1), The Academy of Medical Sciences / Wellcome Trust ('Springboard Health of the Public in 2040' award: HOP001/1025); DB and LW are supported by the Medical Research Council (MR/V002147/1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Changes in the Frequency of Moderate-to-Vigorous Physical Activity and Subsequent Risk of All-Cause and Cardiovascular Disease Mortality

We investigated the association of changes in the frequency of moderate-to-vigorous physical activity (MVPA) and the risks of all-cause and cardiovascular disease (CVD) mortality. This study used the nationally representative National Health Insurance Service-National Sample Cohort database. We included 286,402 individuals aged ≥20 years and estimated changes in the frequency of MVPA over a two-year period. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazard regression models. The HRs (95% CIs) for the risk of all-cause and CVD mortality for an increased frequency of MVPA from physical inactivity compared with continual physical inactivity were 0.82 and 0.68 (0.73–0.92 and 0.51–0.91) for 1–2, 0.72 and 0.48 (0.62–0.84 and 0.31–0.74) for 3–4, and 0.73 and 0.70 (0.63–0.85 and 0.50–0.98) for ≥5 sessions of MVPA/week. The HRs (95% CIs) for the risk of all-cause and CVD mortality were 1.28 and 1.58 (1.07–1.53 and 1.01–2.46), 1.25 and 2.17 (1.01–1.57 and 1.14–4.12), and 1.43 and 1.44 (1.15–1.77 and 0.84–2.47) for changes from 1–2, 3–4, and ≥5 sessions of MVPA/week to physical inactivity, respectively. This study showed the beneficial effect of increasing physical activity, particularly for those who were physically inactive at baseline, as well as the increased risk of all-cause and CVD mortality after adapting a physically inactive lifestyle regardless of their baseline physical activity status.

Physical Inactivity in Youth During COVID-19: A Narrative Review

The prevalence of physical inactivity in youth during COVID-19 has varied across countries and depending on the age of the youth and whether the data were collected during lockdown versus non-lockdown. In studies that compared activity pre-and during COVID, activity decreased in 40-59% of youth. Several negative effects have been noted, including excessive screen time, sleep problems, over-eating, and affective disturbances. Physical inactivity was a significant correlate of all of these problems. Relatively little intervention research has been conducted, and underlying mechanisms have not been explored. As in most of the COVID-19 literature, this research has the limitations of being typically cross-sectional and self-reported.

Assessment of Factors Associated with Depression and Anxiety Among pwMS in Saudi Arabia

Background. Multiple sclerosis (MS) is an inflammatory chronic disease that is characterized by an increased prevalence of adverse mental health outcomes in patients with MS (pwMS). The main aim of this study is to investigate the factors of depression and anxiety in pwMS in the Kingdom of Saudi Arabia (KSA). Materials and Methods. This is a cross-sectional study conducted in KSA during the period from March to June 2020. Participants were recruited from the Neuroimmunology clinics in King Fahad Medical City (KFMC) and King Saud University medical city (KSUMC)in Riyadh City, KSA. The Hospital Anxiety and Depression Scale (HADS) was used to measure depression and anxiety. Fatigue Severity Scale (FSS) was used to measure fatigue in pwMS. A simple random sampling technique was utilized to select participants and the data were analyzed using SPSS v.24.0. Results. A total of 529 participants participated in this study with a response rate of 53.1%. The prevalences of anxiety and depression were 35.3% and 19.7%, respectively. The findings also revealed that depression was more likely to be significantly affected by being male, low education, unemployment, physical inactivity, and fatigue but the anxiety was significantly affected by region, unemployment, short duration since last MS relapse, physical inactivity, and fatigue. Conclusion. Anxiety and depression are not uncommon in pwMS. Given their impact on the lives of affected patients, early detection and management of these symptoms and their associated factors are crucial.

“I Tried Forcing Myself to do It, but Then It Becomes a Boring Chore”: Understanding (dis)engagement in Physical Activity Among Individuals With Type 2 Diabetes Using a Practice Theory Approach

Lack of physical activity (PA) is common among individuals with type 2 diabetes (T2D). We apply a practice theory approach to investigate PA engagement in the context of T2D. Data were collected through semi-structured individual interviews ( n = 23) and focus groups ( n = 3x6) and analyzed by deductive-inductive reflexive thematic analysis using a practice theory framework. Forty-one purposefully selected individuals with T2D (29 men) between the ages of 54 and 77 years were included. The analysis resulted in three main themes informed by five subthemes, reflecting the key elements of practice theory (i.e., meanings, materialities, and competencies). One overarching theme identified PA engagement as an unsustainable and insurmountable project in constant and unequal competition with the practice of physical inactivity. To increase PA among individuals with T2D, future PA interventions and strategies should aim to establish a stronger link between PA and everyday life practices.

Physical inactivity – The human health’s greatest enemy

For decades, research has been highlighting the positive impact of physical activity on health. Despite the immense efforts made by many professional and scientific organizations to raise individual and societal awareness about the role of a sufficient quantity and intensity of physical activity in everyday life and to increase the level of adherence, the situation is still very worrying. Even more worrying is the fact that increasingly prolonged periods of physical inactivity are insidiously and aggressively taking over modern people’s lives – at school, at work, at home, even at leisure. It is probably incomprehensible and difficult for many to accept, but physical inactivity is becoming the first and worst enemy of health in today’s society.