Is dynapenia associated with the onset and persistence of depressive and anxiety symptoms among older adults? Findings from the Irish longitudinal study on ageing

Objectives: The aim of the current study was to assess the associations between dynapenia and the onset and persistence of depression and anxiety among older adults. Methods: This prospective cohort study enrolled community-living older adults (N = 5271; 51.1% females) aged ≥ 50 years (mean age = 63.2, standard deviation = 9.0) from The Irish Longitudinal Study on Aging (TILDA), Ireland. At baseline, participants completed a handgrip assessment. Depression was defined by a score ≥ 16 in the Center of Epidemiology Studies Depression (CES-D) tool and anxiety was considered when participants scored ≥ 8 on the anxiety section of the Hospital Anxiety and Depression Scale (HADS). Outcomes were incident and persistent depression and anxiety at two years follow-up. Multivariable logistic regression models were built for each outcome. Results: After controlling for age, sex, education, marital status, employment status, smoking, body mass index, number of chronic conditions, physical activity, and cognitive function, low handgrip strength indicative of dyapenia (< 30 Kg for men and < 20 Kg for women) was associated with a greater likelihood for incident depressive (OR = 1.44; 95%CI: 1.08–1.92) as well as for persistent depressive (OR = 1.61; 95% CI: 1.01–2.58) and anxiety (OR = 1.61; 95% CI: 1.20–2.14) symptoms. Conclusions: Dynapenia was associated with a higher odds of developing depressive symptoms as well as a greater likelihood to persistent depressive and anxiety symptoms among older adults. Our data suggest that interventions targeting muscle strength may prevent the onset of late-life depression and also may hold promise as novel therapeutic opportunities for depression and anxiety in later life

Cannabis use and suicide attempts among 86,254 adolescents aged 12–15 years from 21 low- and middle-income countries

Background: Evidence suggests that cannabis use may be associated with suicidality in adolescence. Nevertheless, very few studies have assessed this association in low- and middle-income countries (LMICs). In this cross-sectional survey, we investigated the association of cannabis use and suicidal attempts in adolescents from 21 LMICs, adjusting for potential confounders. Method: Data from the Global school-based Student Health Survey was analyzed in 86,254 adolescents from 21 countries [mean (SD) age = 13.7 (0.9) years; 49.0% girls]. Suicide attempts during past year and cannabis during past month and lifetime were assessed. Multivariable logistic regression analyses were conducted. Results: The overall prevalence of past 30-day cannabis use was 2.8% and the age-sex adjusted prevalence varied from 0.5% (Laos) to 37.6% (Samoa), while the overall prevalence of lifetime cannabis use was 3.9% (range 0.5%–44.9%). The overall prevalence of suicide attempts during the past year was 10.5%. Following multivariable adjustment to potential confounding variables, past 30-day cannabis use was significantly associated with suicide attempts (OR = 2.03; 95% CI: 1.42–2.91). Lifetime cannabis use was also independently associated with suicide attempts (OR = 2.30; 95% CI: 1.74–3.04). Conclusion: Our data indicate that cannabis use is associated with a greater likelihood for suicide attempts in adolescents living in LMICs. The causality of this association should be confirmed/refuted in prospective studies to further inform public health policies for suicide prevention in LMICs

Environmental risk factors and nonpharmacological and nonsurgical interventions for obesity: An umbrella review of meta-analyses of cohort studies and randomized controlled trials

Background: Multiple environmental factors have been implicated in obesity, and multiple interventions, besides drugs and surgery, have been assessed in obese patients. Results are scattered across many studies and meta-analyses, and they often mix obese and overweight individuals. Materials and methods: PubMed and Cochrane Database of Systematic Reviews were searched through 21 January 2017 for meta-analyses of cohort studies assessing environmental risk factors for obesity, and randomized controlled trials investigating nonpharmacological and nonsurgical therapeutic interventions for obesity. We excluded data on overweight participants. Evidence from observational studies was graded according to criteria that included the statistical significance of the random-effects summary estimate and of the largest study in a meta-analysis, the number of obesity cases, heterogeneity between studies, 95% prediction intervals, small-study effects and excess significance. The evidence of intervention studies for obesity was assessed with the GRADE framework. Results: Fifty-four articles met eligibility criteria, including 26 meta-analyses of environmental risk factors (166 studies) and 46 meta-analyses of nondrug, nonsurgical interventions (206 trials). In adults, the only risk factor with convincing evidence was depression, and childhood obesity, adolescent obesity, childhood abuse and short sleep duration had highly suggestive evidence. Infancy weight gain during the first year of life, depression and low maternal education had convincing evidence for association with paediatric obesity. All interventions had low or very-low-quality evidence with one exception of moderate-quality evidence for one comparison (no differences in efficacy between brief lifestyle primary care interventions and other interventions for paediatric obesity). Summary effect sizes were mostly small across compared interventions (maximum 5.1 kg in adults and 1.78 kg in children) and even these estimates may be inflated. Conclusions: Depression, obesity in earlier age groups, short sleep duration, childhood abuse and low maternal education have the strongest support among proposed risk factors for obesity. Furthermore, there is no high-quality evidence to recommend treating obesity with a specific nonpharmacological and nonsurgical intervention among many available, and whatever benefits in terms of magnitude of weight loss appear small

Skin picking disorder: Prevalence, correlates, and associations with quality of life in a large sample

Objective Evidence suggests that skin picking disorder (SPD) could be a prevalent condition associated with comorbidity and psychosocial dysfunction. However, just a few studies have assessed the prevalence and correlates of SPD in samples from low-and middle-income countries. In addition, the impact of SPD on quality of life (QoL) dimension after multivariable adjustment to potential confounders remains unclear.Methods Data were obtained from a Brazilian anonymous Web-based research platform. Participants provided sociodemographic data and completed the modified Skin Picking-Stanford questionnaire, the Hypomania Checklist (HCL-32), the Patient Health Questionnaire-9 (PHQ-9), the Fagerström Test for Nicotine Dependence, Alcohol Use Disorder Identification Test (AUDIT), Symptom Checklist-90-Revised inventory (SCL-90R), early trauma inventory self report-short form, and the World Health Organization quality of life abbreviated scale (WHOQOL-Bref). Associations were adjusted to potential confounders through multivariable models.Results For our survey, 7639 participants took part (71.3% females; age: 27.2±7.9 years). The prevalence of SPD was 3.4% (95% CI: 3.0-3.8%), with a female preponderance (P<0.001). In addition, SPD was associated with a positive screen for a major depressive episode, nicotine dependence, and alcohol dependence, as well as suicidal ideation. Physical and psychological QoL was significantly more impaired in participants with SPD compared to those without SPD, even after adjustment for comorbidity.Conclusions In this large sample, SPD was a prevalent condition associated with co-occurring depression, nicotine, and alcohol dependence. In addition, SPD was independently associated with impaired physical and psychological QoL. Public health efforts toward the early recognition and treatment of SPD are warranted

National trends in the prevalence of hepatitis B and C in South Korea, before and during COVID-19 pandemic (2007-2021); a nationwide representative study

Objective: Due to the various changes caused by the COVID-19 pandemic, some infectious diseases showed different epidemiology and prevalence during the pandemic. However, there is a lack of comprehensive study on trends in the prevalence of hepatitis B and C relating the pandemic. Thus, we compared the prevalence of Hepatitis B and C before and during the COVID-19 pandemic in South Korea. Patients and Method: We conducted a comprehensive trend analysis with a nationwide serial cross-sectional survey from 2007 to 2021 (n=86,931) using Korea National Health and Nutrition Examination Survey (KNHANES). The changes in the prevalence for hepatitis B and C were evaluated using weighted regression model to assess the impact of the COVID-19 pandemic.Results: From 2007 to 2021, 86,931 Korean adults aged 19 or older were included from the KNHANES data. The prevalence of hepatitis B showed a declining trend until the onset of the pandemic (1.80% in 2007-2009; 1.08% in 2016-2019; and 1.01% in 2020), at which point this trend reversed (1.39% in 2021). The prevalence of hepatitis C remained stable (0.14% in 2007-2009; and 0.18% in 2016-2019), with no particular surge related to the COVID-19 pandemic (βdiff, -0.002; 95% CI, -0.761 to 0.756). For hepatitis B, old age was identified as a pandemic-related vulnerable factor (ratio of odds ratio, 1.68; 95% CI, 1.05-2.70).Conclusion: In this study, unlike other infectious diseases, Hepatitis B and C did not show a decreasing trend during the pandemic. In particular, Hepatitis B showed a rebound trend during the pandemic, which was noticeable in those aged 60 or older. Further studies are needed to support these findings.</p

National long-term trends in health-related quality of life using EQ-5D-3L in South Korea, 2008-2021, including the COVID-19 pandemic: a representative serial study of 2.8 million people

OBJECTIVE: There is a scarcity of literature investigating the impact of the coronavirus disease 2019 (COVID-19) pandemic on long-term trends in health-related quality of life (HrQoL) using large-scale and representative data. Thus, we aimed to investigate the nationwide and long-term trends in quality of life (QoL) using the European Quality of Life5 dimensions, 3-level version (EQ-5D-3L) from a Korean representative serial study of 2.8 million people, 2008-2021. SUBJECTS AND METHODS: This Korean study used data on adults between 2008 and 2021 who participated in the Community Health Survey. Timeframes were categorized as COVID-19 mid-pandemic (2021) and pre-pandemic (2008-2019). The mean EQ-5D-3L index for the whole population and subgroups stratified by demographic characters was evaluated for each timeframe, and differences between before and during the COVID-19 pandemic were also analyzed.  RESULTS: 2,827,240 adults who responded to the survey, 2008-2021, were eligible for this study. Overall EQ-5D index persistently decreased from 2008-2016, then minimally decreased during the pandemic, still being much higher than forecasted before the COVID-19 pandemic. The reduction in the rate of decline in QoL after the COVID-19 outbreak was especially marked in white-collared, young adults, people with ‘good’ or ‘very good’ subjective health, and college-educated or above group. On the other hand, the previously increasing trend of QoL in the elderly group has decelerated during the pandemic, and QoL of the ‘very bad’ subjective health group recorded the lowest among the whole study period. CONCLUSIONS: The present study investigated the long-term trend of QoL in Korean adults using serial data over the past 14 years, with a special emphasis on comparing the preand mid-COVID-19 pandemic periods. </p

Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016

Background The UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of “leaving no one behind”. Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990–2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030. Methods We used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0–100, with 0 as the 2·5th percentile estimated between 1990 and 2030, and 100 as the 97·5th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment. Findings Globally, the median health-related SDG index was 56·7 (IQR 31·9–66·8) in 2016 and country-level performance markedly varied, with Singapore (86·8, 95% uncertainty interval 84·6–88·9), Iceland (86·0, 84·1–87·6), and Sweden (85·6, 81·8–87·8) having the highest levels in 2016 and Afghanistan (10·9, 9·6–11·9), the Central African Republic (11·0, 8·8–13·8), and Somalia (11·3, 9·5–13·1) recording the lowest. Between 2000 and 2016, notable improvements in the UHC index were achieved by several countries, including Cambodia, Rwanda, Equatorial Guinea, Laos, Turkey, and China; however, a number of countries, such as Lesotho and the Central African Republic, but also high-income countries, such as the USA, showed minimal gains. Based on projections of past trends, the median number of SDG targets attained in 2030 was five (IQR 2–8) of the 24 defined targets currently measured. Globally, projected target attainment considerably varied by SDG indicator, ranging from more than 60% of countries projected to reach targets for under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria, to less than 5% of countries projected to achieve targets linked to 11 indicator targets, including those for childhood overweight, tuberculosis, and road injury mortality. For several of the health-related SDGs, meeting defined targets hinges upon substantially faster progress than what most countries have achieved in the past. Interpretation GBD 2016 provides an updated and expanded evidence base on where the world currently stands in terms of the health-related SDGs. Our improved measure of UHC offers a basis to monitor the expansion of health services necessary to meet the SDGs. Based on past rates of progress, many places are facing challenges in meeting defined health-related SDG targets, particularly among countries that are the worst off. In view of the early stages of SDG implementation, however, opportunity remains to take actions to accelerate progress, as shown by the catalytic effects of adopting the Millennium Development Goals after 2000. With the SDGs' broader, bolder development agenda, multisectoral commitments and investments are vital to make the health-related SDGs within reach of all populations. Funding Bill & Melinda Gates Foundation