Population-level Interventions Research Articles

Epidemiological survey of adult female stress urinary incontinence

BackgroundThe prevalence of stress urinary incontinence (SUI) in adult female in Taiyuan and what are the related risk factors are not clear. The aim of this study was to provide a basis for exploring the prevention and treatment of SUI in adult female in Taiyuan.MethodsA voluntary online questionnaire was used to investigate adult female in the community and surrounding townships of Taiyuan. Most of the questionnaires refer to the International Consultation on Incontinence Questionnaire-Female Lower Urinary Tract Symptoms, and adapt to the specific circumstances of the region. Data were analyzed using SPSS software (version 22.0).ResultsA total of 4004 eligible questionnaires were obtained. The prevalence of SUI in adult female in Taiyuan was 33.5%. Univariate analysis and multivariate logistic regression analysis showed that place of residence, smoking, body mass index, diet, number of deliveries, mode of delivery, dystocia, menopause, oral contraceptives, urinary tract infection, making the bladder empty faster by pushing down and holding urine were risk factors for adult female stress urinary incontinence in Taiyuan.ConclusionThe prevalence of SUI in adult female in Taiyuan was high, and based on risk factors identified in this survey, population-level intervention strategies should be developed for the prevention and treatment of adult female SUI in Taiyuan.

Effect of Anemia on Work Productivity in Both Labor- and Nonlabor-Intensive Occupations: A Systematic Narrative Synthesis.

Anemia is highly prevalent particularly in low- and middle-income countries. Iron deficiency contributes to an estimated 50% of anemia cases. Iron interventions have become central to global anemia treatment and prevention; however, few iron interventions have been scaled up to the national level, despite their proven effectiveness. While both cross-sectional and interventional studies on the effect of anemia and iron supplementation on worker productivity have been conducted, there have been few systematic reviews conducted. As such, a synthesis of previously conducted primary research is warranted and may provide a more comprehensive overview of the strength of currently available evidence, potentially helping to inform national policy on matters relating to funding and legislation for population-level iron interventions. The objective of this study was to synthesize available evidence on the effect of both anemia and therapeutic iron interventions on productivity in working adults. All relevant English language studies were systematically obtained from both MEDLINE and EMBASE and assessed for evidence of differing productivity levels across groups stratified by iron intervention or anemia status. Potential mediating variables were reported, and the results were narratively summarized. The available data from 12 included studies provide strong evidence that anemia negatively impacts occupational performance and that therapeutic iron interventions can yield substantial productivity gains. Despite their limitations, these findings make an important contribution to the literature highlighting the impact of iron deficiency and population-wide iron interventions on work productivity and occupational performance.

The Association of Medicaid Insurance and Affordable Care Act Expansions with Survival among Patients with Testicular Cancer.

Following passage of the Affordable Care Act, Medicaid access was expanded in several states beginning in 2014. We sought to determine the oncologic implications by comparing outcomes between testicular germ cell tumor patients with Medicaid and those without insurance, and by assessing for changes in outcomes after 2014. A total of 18,506 men with seminomatous or nonseminomatous germ cell tumors were identified within the Surveillance, Epidemiology, and End Results database (2007-2016). Multivariable Cox proportional hazards, Fine and Gray competing-risks regression, propensity score matching, cumulative incidence plots and segmented Poisson regression models were used. Compared to no insurance, Medicaid insurance was not associated with differences in all-cause mortality or cancer-specific mortality among seminoma patients (all-cause mortality: HR=1.24, p=0.87; cancer-specific mortality: HR=0.92, p=0.75) or nonseminoma patients (all-cause mortality: HR=1.13, p=0.33; cancer-specific mortality: HR=1.10, p=0.51). Among matched Medicaid and uninsured patients, there was again no difference in cancer-specific mortality for those with seminoma (p=0.81) or nonseminoma (p=0.23). There was a 99% increase in Medicaid enrollment in expansion states in the post-Affordable Care Act era. There was no difference in post-expansion all-cause mortality between expansion states and nonexpansion states for men with seminoma (p=0.42) or nonseminoma (p=0.53). Medicaid enrollment increased in expansion states following the Affordable Care Act. However, there was no difference in survival between Medicaid patients and uninsured patients, or between patients in expansion states versus nonexpansion states, highlighting the need for population-level policy interventions to improve access and quality of care among testicular cancer patients with Medicaid.

Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study.

BackgroundIn March 2020, Text4Hope—a community health service—was provided to Alberta residents. This free service aims to promote psychological resilience and alleviate pandemic-associated stress, anxiety, and depression symptoms during the COVID-19 pandemic.ObjectiveThis study aimed to evaluate the feedback, satisfaction, experience, and perceptions of Text4Hope subscribers and to examine any differences based on gender after subscribers received 6 weeks of daily supportive text messages. Additionally, this study examined subscribers’ anticipated receptivity to technology-based medical services that could be offered during major crises, emergencies, or pandemics.MethodsIndividuals self-subscribed to Text4Hope to receive daily supportive text messages for 3 months. Subscribers were invited to complete a web-based survey at 6 weeks postintervention to provide service satisfaction–related information. Overall satisfaction was assessed on a scale of 0-10, and satisfaction scores were analyzed using a related-measures t test. Likert scale satisfaction responses were used to assess various aspects of the Text4Hope program. Gender differences were analyzed using one-way analysis of variance (ANOVA) and Chi-square analyses.ResultsA total of 2032 subscribers completed the baseline and 6-week surveys; 1788 (88%) were female, 219 (10.8%) were male, and 25 (1.2%) were other gender. The mean age of study participants was 44.58 years (SD 13.45 years). The mean overall satisfaction score was 8.55 (SD 1.78), suggesting high overall satisfaction with Text4Hope. The ANOVA analysis, which was conducted using the Welch test (n=1716), demonstrated that females had significantly higher mean satisfaction scores than males (8.65 vs 8.11, respectively; mean difference=0.546; 95% CI 0.19 to 0.91; P<.001) and nonsignificantly lower satisfaction scores than other gender respondents (mean difference=−0.938; 95% CI −0.37 to 2.25; P=.15). More than 70% of subscribers agreed that Text4Hope helped them cope with stress (1334/1731, 77.1%) and anxiety (1309/1728, 75.8%), feel connected to a support system (1400/1729, 81%), manage COVID-19–related issues (1279/1728, 74%), and improve mental well-being (1308/1731, 75.6%). Similarly, subscribers agreed that messages were positive, affirmative, and succinct. Messages were always or often read by 97.9% (1681/1716) of respondents, and more than 20% (401/1716, 23.4%) always or often returned to messages. The majority of subscribers (1471/1666, 88.3%) read the messages and either reflected upon them or took a positive action. Subscribers welcomed almost all technology-based services as part of their health care during crisis or emergency situations. Text4Hope was perceived to be effective by many female subscribers, who reported higher satisfaction and improved coping after receiving text messages for 6 weeks.ConclusionsRespondents affirmed the high quality of the text messages with their positive feedback. Technology-based services can provide remotely accessible and population-level interventions that align with the recommended physical distancing practices for pandemics. Text4Hope subscriber feedback revealed high satisfaction and acceptance at 6 weeks postintervention.International Registered Report Identifier (IRRID)RR2-10.2196/19292

Population-level Interventions Based on Walking and Cycling as a Means to Increase Physical Activity

Physical activity can assist in decreasing the risk of such non-communicable diseases as coronary heart disease, stroke and type 2 diabetes by up to 50% and can also promote mental wellbeing. Recently, the guidance for adults has been amended to recommend 30 minutes, 5 times per week of moderate to vigorous-intensity. The objective of this study was to report physical activity among UK populations via walking and cycling. This study analysed data from The Health Survey for England (HSE), Department of Health and Social Care, The Association for the Study of Obesity, The National Institute for Health and Care Excellence (NICE), and Department for Transport. The recommended level of physical activity for man decrease significantly with increasing age, from 53% at age 16–24 to 16% at 65 plus. The proportion of women in physical activity is substantially lower, particularly once they reach the age of 65, with approximately 12% of women aged over 65 reaching the recommended levels versus 28–36% of younger women. In children, 72% of boys and 63% of girls aged between 2–15, are physically active for a duration of 60 minutes or more per week, which declines for girls after the age of 10. According to reports, walking is the most common, while cycling is the fourth most popular recreational and physical activity among the adults in the UK. An increase in the physically active population could influence health, the environment and the economy.

Impact of population-based or targeted BMD interventions on fracture incidence.

To investigate the impact of population level or targeted alterations to BMD on the incidence of fractures. We used a simulated cohort of 49,242 women with age and body mass index distribution from the UK, and prevalence of other clinical risk factors based on European FRAX® cohorts. Using FRAX probabilities of major osteoporotic fracture (MOF: hip, clinical vertebral, distal forearm, proximal humerus) and hip fracture, calculated with femoral neck BMD, we determined the expected number of fractures over 10 years, stratified by 10-year age band from 50 years. We then investigated the effect of (i) uplifting all individuals with T-score below -2.5 to be exactly -2.5 (high-risk strategy) and (ii) shifting the entire BMD distribution upwards (population strategy). Overall, the high-risk strategy prevented 573 MOF including 465 hip fractures. Moving the BMD T-score distribution upward by 0.27SD gave an equivalent reduction in numbers of MOF; for hip fractures prevented, this was 0.35SD. A global upward 0.25SD BMD shift prevented 524 MOF including 354 hip fractures, with corresponding figures for an increase of 0.5SD being 973 MOF prevented and 640 hip fractures prevented. The ratio of hip fracture to MOF prevented differed by the two approaches, such that for the high-risk strategy, the ratio was 0.81, and for the population strategy was 0.68 (0.25SD BMD uplift) and 0.66 (0.5SD BMD uplift). The numbers of fractures prevented by the high-risk strategy increased with age. In contrast, the age-related increase in numbers of fractures prevented with the population strategy rose with age, but peaked in the 70-79-year age band and declined thereafter. Both strategies reduced the numbers of expected incident fractures, with contrasting relative impacts by age and fracture site. Whilst the current analysis used UK/European anthropometric/risk factor distributions, further analyses calibrated to the distributions in other settings globally may be readily undertaken. Overall, these findings support the investigation of both population level interventions and those targeted at high fracture risk groups.

Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

BackgroundInterrupted time series analysis is increasingly used to evaluate the impact of large-scale health interventions. While segmented regression is a common approach, it is not always adequate, especially in the presence of seasonality and autocorrelation. An Autoregressive Integrated Moving Average (ARIMA) model is an alternative method that can accommodate these issues.MethodsWe describe the underlying theory behind ARIMA models and how they can be used to evaluate population-level interventions, such as the introduction of health policies. We discuss how to select the shape of the impact, the model selection process, transfer functions, checking model fit, and interpretation of findings. We also provide R and SAS code to replicate our results.ResultsWe illustrate ARIMA modelling using the example of a policy intervention to reduce inappropriate prescribing. In January 2014, the Australian government eliminated prescription refills for the 25 mg tablet strength of quetiapine, an antipsychotic, to deter its prescribing for non-approved indications. We examine the impact of this policy intervention on dispensing of quetiapine using dispensing claims data.ConclusionsARIMA modelling is a useful tool to evaluate the impact of large-scale interventions when other approaches are not suitable, as it can account for underlying trends, autocorrelation and seasonality and allows for flexible modelling of different types of impacts.

Antenatal depression and anxiety during the COVID-19 pandemic: a cross-sectional study in pregnant women from routine health care contact in Greece.

The impact of the COVID-19 pandemic and the public health measures introduced to control it, on mental health, is largely unknown. Research conducted during past epidemics found that pregnant women are more vulnerable psychologically. The aim of this study was to investigate antenatal depressive and anxiety symptoms during this pandemic in Greece. All women receiving routine antenatal care, during a three-month period, starting one week after the total lockdown in Greece, in a University department, were asked to fill in two questionnaires, the Edinburg Postnatal Depression Scale (EPDS) and the State-Trait Anxiety Inventory (STAI). Overall, 505 women (93.3% of the eligible population) agreed to participate. The prevalence of antenatal depression (EPDS score≥13) in the population of the study was 13.5%. Unplanned pregnancy (OR: 2.447; 95% CI: 1.235-4.846), smoking (OR: 2.268; 95% CI: 1.166-4.411) and antenatal anxiety (OR: 5.074; 95% CI: 2.898-8.883) increased the risk of antenatal depression during the COVID-19 pandemic. State (current)-anxiety affected 34.1% of the participants, whereas Trait (lifetime)-anxiety affected 15.8%. The State-anxiety score (median) was significantly higher than the Trait-anxiety (median) (41 vs. 36; p<0.001), revealing an increase in the levels of anxiety in the pandemic, while there was also a positive linear correlation between the two scales (rho=0.592; p<0.001). The unprecedented situation of the COVID-19 pandemic has increased anxiety, but not depression levels of pregnant women in Greece. Population level interventions to address adverse effects on anxiety status in the initial phases of similar situations may be helpful in the future.

Interdisciplinary data science to advance environmental health research and improve birth outcomes

Rates of preterm birth and low birthweight continue to rise in the United States and pose a significant public health problem. Although a variety of environmental exposures are known to contribute to these and other adverse birth outcomes, there has been a limited success in developing policies to prevent these outcomes. A better characterization of the complexities between multiple exposures and their biological responses can provide the evidence needed to inform public health policy and strengthen preventative population-level interventions. In order to achieve this, we encourage the establishment of an interdisciplinary data science framework that integrates epidemiology, toxicology and bioinformatics with biomarker-based research to better define how population-level exposures contribute to these adverse birth outcomes. The proposed interdisciplinary research framework would 1) facilitate data-driven analyses using existing data from health registries and environmental monitoring programs; 2) develop novel algorithms with the ability to predict which exposures are driving, in this case, adverse birth outcomes in the context of simultaneous exposures; and 3) refine biomarker-based research, ultimately leading to new policies and interventions to reduce the incidence of adverse birth outcomes.

Involvement of Local Health Departments in Obesity Prevention: A Scoping Review.

Local health department (LHD) obesity prevention (OP) efforts, particularly by rural LHDs, are seemingly uncommon, in part, due to limited infrastructure, workforce capacity, accessible data, and available population-level interventions aimed at social determinants of health (SDOH). We conducted a scoping review to determine LHD roles in OP efforts and interventions. Inclusion criteria were articles including evidence-based OP and LHD leaders or staff. Articles were coded by type of LHD involvement, data use, intervention characteristics, use of an SDOH lens, and urban or rural setting. We found 154 articles on LHD OP-52 articles met inclusion criteria. Typically, LHDs engaged in only surveillance, initial intervention development, or evaluation and were not LHD led. Data and SDOH lens use were infrequent, and interventions typically took place in urban settings. LHDs could likely play a greater role in OP and population-level interventions and use data in intervention decision making. However, literature is limited. Future research should focus on LHD capacity building, including academic-public health partnerships. Studies should include rural populations, data, and SDOH frameworks addressing "upstream" factors.

The International Classification of Health Interventions: an 'epistemic hub' for use in public health.

The current lack of a common basis for collecting data on population-level prevention and health promotion interventions causes public health to be relatively invisible within broader health systems, making it vulnerable to funding cuts when there is pressure to reduce spending. Further, the inconsistent use of terms for describing interventions hinders knowledge translation and building an evidence base for public health practice and policy. The International Classification of Health Interventions (ICHI), being developed by the World Health Organization, is a standard statistical classification for interventions across the full scope of health systems. ICHI has potential to meet the need for a common language and structure for describing and capturing information about prevention and health promotion interventions. We report on a developmental appraisal conducted to examine the strengths and limitations of ICHI for coding interventions delivered for public health purposes. Our findings highlight classification challenges in relation to: consistently identifying separate components within multi-component interventions; operationalizing the ICHI concept of intervention target when there are intermediary targets as well as an ultimate target; coding an intervention component that involves more than one ICHI target or action; and standardising what is being counted. We propose that, alongside its purpose as a statistical classification, ICHI can play a valuable role as an 'epistemic hub', to be used flexibly by public health actors to meet a range of information needs, and as a basis for improved communication and exchange.

Associations between smoking trajectories, smoke-free laws and cigarette taxes in a longitudinal sample of youth and young adults.

Cigarette smoking patterns vary within the population, with some individuals remaining never smokers, some remaining occasional users, and others progressing to daily use or quitting. There is little research on how population-level tobacco control policy interventions affect individuals within different smoking trajectories. We identified associations between tobacco control policy interventions and changes across different smoking trajectories among adolescents and young adults. Using 15 annual waves of data drawn from the National Longitudinal Survey of Youth 1997 (NLSY97), we applied a group-based trajectory model to identify associations between days smoked per month, comprehensive smoke-free laws, cigarette tax rates, and known socio-demographic risk factors for membership in different smoking trajectories. Comprehensive smoke-free laws were associated with reduced risk of initiation and reductions in days smoked per month for all trajectories other than occasional users. Higher tax rates were associated with reduced risk of initiation and days smoked for all trajectories other than established users. Overall, population-based tobacco control policies, particularly comprehensive smoke-free laws, were associated with reduced smoking. Tobacco taxes primarily reduced risk of initiation and use among never smokers, experimenters, and quitters, consistent with previous research suggesting that tobacco manufacturers lower prices after tax increases to reduce the cost of continued smoking for established users. These results provide support for expanding smoke-free laws and establishing a minimum tobacco floor price, which could improve public health by reducing the risk of initiation as well as use among occasional and established smokers.

“No Need to Get Salty” Or Is There? Sodium Functionality as a Consideration in Nutrition Public Health Policy

Aim: Public health professionals focus on both downstream (individual) and upstream (population-level) interventions to reduce sodium consumption and prevent sodium-related chronic diseases. Effective upstream interventions specifically aimed at reducing dietary sodium intake include the implementation of comprehensive nutrition standards that restrict the amount of sodium contained in foods available for purchase. The aim of this work was to identify sought-after foods that did not meet the Philadelphia Nutrition Standards’ sodium limits and reformulate those foods to be standards-compliant and consumer-acceptable. Subject and Methods: Two foods were reformulated for compliancy with the Philadelphia Nutrition Standards’ sodium limits and consumer acceptability: the hoagie roll and soft pretzel. Reformulation included sensory testing and engaging potential manufacturing partners to investigate products’ commercial potential. Results: While hoagie roll reformulation led to a local company manufacturing and selling the reformulated product, soft pretzel reformulation stalled due to lack of consumer acceptability of the reformulated product. Salt contributes desirable characteristics in the texture, taste, and appearance of the soft pretzel, the absence of which consumers found unacceptable. Conclusion: Product reformulation holds great potential to create lower-sodium foods that otherwise have all of the characteristics of the higher-sodium “original” products but requires an understanding of the role of salt in product recipes. Reducing salt without considering its multiple functions in food may result in a product that is unacceptable or even unsafe. A simple four-step tool can help public health practitioners evaluate the extent to which products are suitable for reformulation.

Text4Hope: Receiving Daily Supportive Text Messages for 3 Months During the COVID-19 Pandemic Reduces Stress, Anxiety, and Depression.

This study reports on the changes in stress, anxiety, and depressive symptoms of subscribers after 3 months using Text4Hope, a supportive text messaging program designed to provide support during the pandemic. Standardized self-report measures were used to evaluate perceived stress (measured with the Perceived Stress Scale-10 [PSS-10]), anxiety (measured with the General Anxiety Disorder Scale 7 [GAD-7]), and depressive symptoms (measured with the Patient Health Questionnaire [PHQ-9]), at baseline and 3rd month (n = 373). After 3 months of using Text4Hope, subscribers' self-reports revealed significant (p< 0.001) mean score reductions compared with baseline on: the GAD-7 by 22.7%, PHQ-9 by 10.3%, and PSS-10 scores by 5.7%. Reductions in inferred prevalence rates for moderate to high symptoms were also observed, with anxiety demonstrating the largest reduction (15.7%). Observed Text4Hope-related reductions in psychological distress during COVID-19 indicate that Text4Hope is an effective, convenient, and accessible means of implementing a population-level psychological intervention.

The Prevalence and Impact of Dental Anxiety Among Adult New Zealanders

ObjectiveTo describe the prevalence and impact of dental anxiety in the New Zealand adult population.MethodsSecondary analysis of data from the 2009 New Zealand national oral health survey. Dental anxiety was measured using the Dental Anxiety Scale (DAS).ResultsThe prevalence of dental anxiety was 13.3% (95% CI = 11.4, 15.6). On average, DAS scores were higher by 14% among females, lower among those in the oldest age group (55+), higher by 10% among those in the European/Other ethnic category, and higher by 10% among those residing in the most deprived neighbourhoods. Those who were dentally anxious had greater oral disease experience and were less likely to have visited a dentist within the previous 12 months. They also had poorer oral health-related quality of life, with the highest prevalence of OHIP-14 impacts observed in dentally anxious 35- to 54-year-olds.ConclusionsDental anxiety is a dental public health problem. It is an important contributor to poor oral health and care avoidance among New Zealanders. There is a need to develop both clinical and population-level interventions aimed at reducing the condition's prevalence and impact.

Suicide prevention efforts in the United States and their effectiveness.

Purpose of reviewSuicide is a serious public health problem in the United States, and suicide rates have been increasing for more than a decade. Rural areas are more impacted than urban areas, reinforcing that social, cultural, and economic factors contribute to risk. This article reviews recent work about these contributors to suicide and how they may inform prevention efforts.Recent findingsCurrent research has shown that suicide is more than a mental health problem with a psychiatric or medical solution. Universal screening and referral by gatekeepers target a large group with a low baseline risk, and there are few treatments proven to reduce death by suicide, as well as a severe shortage of mental health providers in the United States to provide them. Instead, suicide prevention polices can target various other factors that contribute to elevated suicide risk at the population level, including reducing socioeconomic deprivation and access to firearms, both of which are often higher in rural areas. Internet-based interventions also hold promise as they are highly scalable, accessible almost anywhere, and often anonymous.SummaryUnderstanding factors that increase suicide risk guide development of evidence-based policies targeted at high-risk groups. Population-level interventions should be developed in collaboration with the target audience for cultural appropriateness.

Provider Attitudes and Practices on Treating Tobacco Dependence in New York City After 10 years of Comprehensive Tobacco Control Efforts.

To design strategies for provider education and implementation of clinical guidelines, this study investigated how physicians (1) approach tobacco cessation, including barriers to screening and treatment, (2) prioritize tobacco cessation, and (3) perceive the role of public health. Semi-structured focus groups were conducted with 30 New York City physicians across specialties. Physicians reported that they: (1) understand risks of smoking, as well as basic counseling and medications for smoking cessation; (2) do not always follow clinical guidelines for treatment of smoking cessation; (3) prioritize treatment of patients based upon a number of criteria; and (4) see the role of public health and the city health department as separate from the clinical environment, despite population-level interventions to reduce smoking. Physicians understand the importance of treating tobacco dependence, but identified barriers to treatment, some of which are health system-related. Further, patients who do not yet present with smoking-related illness may receive less intense interventions.

A Mixed Methods Population Health Approach to Explore Radon-Induced Lung Cancer Risk Perception in Canada.

BackgroundRadon is a predominant indoor air pollutant and second leading cause of lung cancer in radon-prone areas. Despite the gravity of the health risk, residents in Canada have inadequate perception and taken minimal protective actions. Better perception of a risk motivates people to take preventive measures. Scholarship about radon health risk perception is lacking in Canada. We applied a mixed methods population health approach to explore the determinants shaping perception and actions of a resident population in Canada.MethodsWe conducted mixed surveys (n = 557) and qualitative bilingual interviews (n = 35) with both homeowners and tenants of Ottawa–Gatineau areas. The study explored residents' risk perception and adaptations factors. Descriptive, correlational and regression analyses described and established associations between quantitative variables. Thematic, inductive analyses identified themes in the qualitative data. A mixed methods analysis triangulated both results to draw a holistic perception of the health risk.ResultsResidents’ quantitative perceptions of radon health risk, smoking at home, synergistic risk perception, social influence and care for family were associated significantly with their intention to test for radon levels in their home, actual testing and mitigation. These results were explained further with the qualitative findings. Residents who had dual cognitive and emotional awareness of the risk were motivated enough to take preventive actions. Caring for family, knowing others who contracted lung cancer and financial capability were enablers, whereas lack of awareness and homeownership, cost of mitigation and stigma were obstacles to preventive actions. We also explored the dual subjective and objective aspects of risk perception that are influenced by micro- and macro-level determinants.ConclusionsInducing protective action to reduce risk requires comprehensive population-level interventions considering dual perceptions of the risk that can modify the risk determinants. Future research can explore the dual aspects of risk perception and unequal distribution of the risk factors.

Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study.

BackgroundIn addition to the obvious physical medical impact of COVID-19, the disease poses evident threats to people’s mental health, psychological safety, and well-being. Provision of support for these challenges is complicated by the high number of people requiring support and the need to maintain physical distancing. Text4Hope, a daily supportive SMS text messaging program, was launched in Canada to mitigate the negative mental health impacts of the pandemic among Canadians.ObjectiveThis paper describes the changes in the stress, anxiety, and depression levels of subscribers to the Text4Hope program after 6 weeks of exposure to daily supportive SMS text messages.MethodsWe used self-administered, empirically supported web-based questionnaires to assess the demographic and clinical characteristics of Text4Hope subscribers. Perceived stress, anxiety, and depression were measured with the 10-Item Perceived Stress Scale (PSS-10), the Generalized Anxiety Disorder–7 (GAD-7) scale, and the Patient Health Questionnaire–9 (PHQ-9) scale at baseline and sixth week time points. Moderate or high perceived stress, likely generalized anxiety disorder, and likely major depressive disorder were assessed using cutoff scores of ≥14 for the PSS-10, ≥10 for the GAD-7, and ≥10 for the PHQ-9, respectively. At 6 weeks into the program, 766 participants had completed the questionnaires at both time points.ResultsAt the 6-week time point, there were statistically significant reductions in mean scores on the PSS-10 and GAD-7 scales but not on the PHQ-9 scale. Effect sizes were small overall. There were statistically significant reductions in the prevalence rates of moderate or high stress and likely generalized anxiety disorder but not likely major depressive disorder for the group that completed both the baseline and 6-week assessments. The largest reductions in mean scores and prevalence rates were for anxiety (18.7% and 13.5%, respectively).ConclusionsText4Hope is a convenient, cost-effective, and accessible means of implementing a population-level psychological intervention. This service demonstrated significant reductions in anxiety and stress levels during the COVID-19 pandemic and could be used as a population-level mental health intervention during natural disasters and other emergencies.International Registered Report Identifier (IRRID)RR2-10.2196/19292

Explaining the increment in coronary heart disease mortality in Mexico between 2000 and 2012.

Mexico is still in the growing phase of the epidemic of coronary heart disease (CHD), with mortality increasing by 48% since 1980. However, no studies have analyzed the drivers of these trends. We aimed to model CHD deaths between 2000 and 2012 in Mexico and to quantify the proportion of the mortality change attributable to advances in medical treatments and to changes in population-wide cardiovascular risk factors. We performed a retrospective analysis using the previously validated IMPACT model to explain observed changes in CHD mortality in Mexican adults. The model integrates nationwide data at two-time points (2000 and 2012) to quantify the effects on CHD mortality attributable to changes in risk factors and therapeutic trends. From 2000 to 2012, CHD mortality rates increased by 33.8% in men and by 22.8% in women. The IMPACT model explained 71% of the CHD mortality increase. Most of the mortality increases could be attributed to increases in population risk factors, such as diabetes (43%), physical inactivity (28%) and total cholesterol (24%). Improvements in medical and surgical treatments together prevented or postponed 40.3% of deaths; 10% was attributable to improvements in secondary prevention treatments following MI, while 5.3% to community heart failure treatments. CHD mortality in Mexico is increasing due to adverse trends in major risk factors and suboptimal use of CHD treatments. Population-level interventions to reduce CHD risk factors are urgently needed, along with increased access and equitable distribution of therapies.