A nationwide mobile phone survey for tobacco use in Tanzania: Sample quality and representativeness compared to a household survey.

We investigated the feasibility of an interactive voice response (IVR) survey in Tanzania and compared its prevalence estimates for tobacco use to the estimates of the 'Global Adult Tobacco Survey (GATS) 2018'. IVR participants were enrolled by random digit dialing. Quota sampling was employed to achieve the required sample sizes of age-sex strata: sex (male/female) and age (18-29-, 30-44-, 45-59-, and ≥60-year-olds). GATS was a nationally representative survey and used a multistage stratified cluster sampling design. The IVR sample's weights were generated using the inverse proportional weighting (IPW) method with a logit model and the standard age-sex distribution of Tanzania. The IVR and GATS had 2362 and 4555 participants, respectively. Compared to GATS, the unweighted IVR sample had a higher proportion of males (58.7 % vs. 43.2 %), educated people (secondary/above education: 43.3 % vs. 21.1 %), and urban residents (56.5 % vs. 40 %). The weighted prevalence (95 % confidence interval (CI)) of current smoking was 4.99 % (4.11-6.04), 5.22 % (4.36-6.24), and 7.36 % (6.51-8.31) among IVR (IPW), IVR (age-sex standard), and GATS samples, respectively; the weighted prevalence (95 % CI) of smokeless tobacco use was similar: 3.54 % (2.73-4.57), 3.58 % (2.80-4.56), and 2.43 % (1.98-2.98), respectively. Most differences in point estimates for tobacco indicators were small (<2%). Overall, the odds of tobacco smoking indicators were lower in IVR than in GATS; however, the odds of smokeless tobacco use were reversed. Although we found under-/over-estimation of the prevalence of tobacco use in IVR than GATS, the estimates were close. Further research is required to increase the representativeness of IVR.

The burden of psychological distress and unhealthy dietary behaviours among 222,401 school-going adolescents from 61 countries.

We aimed to calculate the sex-specific prevalence of psychological distress and unhealthy eating habits among adolescents across countries and regions, and to explore their potential associations. We used data from the Global School-Based Health Survey (GSHS) for 61 countries. Psychological distress was defined based on the existence of ≥ 2 factors from the following: loneliness, anxiety, suicide ideation, suicide planning, and suicide attempt. Four unhealthy dietary behaviours were examined: inadequate fruit intake, inadequate vegetable intake, daily consumption of soft drinks, and weekly fast-food consumption. We used random-effects meta-analysis to estimate the overall and regional pooled prevalence. Mixed-effect multilevel logistic regressions were used to estimate adjusted odds ratios (aORs) of unhealthy dietary behaviours in relation to psychological distress. Among 222,401 school-going adolescents (53.3% girls), the prevalence of psychological distress was 17.9%, with girls reporting higher than boys (20.8% vs. 14.9%). Adolescents in the African region reported the highest prevalence (22.5%), while those in the South-East Asia region reported the lowest (11.3%). The prevalence of inadequate fruit intake, inadequate vegetable intake, daily soft drink consumption, and weekly fast-food consumption was 37.0%, 28.5%, 50.0%, and 57.4% respectively. Psychological distress was associated with inadequate fruit intake (pooled aOR = 1.19, 95% CI 1.17-1.23), inadequate vegetable intake (pooled OR = 1.19, 1.16-1.22), daily consumption of soft drinks (pooled aOR = 1.14, 1.12-1.17), and weekly consumption of fast food (pooled aOR = 1.12, 1.09-1.15). Our findings indicate a substantial variance in the burden of psychological distress and unhealthy dietary behaviours across different regions. Adolescents experiencing psychological distress were more likely to have unhealthy dietary habits.

A Multimodal Ayurveda and Mind-Body Therapeutic Intervention for Chronic Symptoms Attributed to a Postinfectious Syndrome: A Pilot Study.

Objective: Evaluate feasibility and impact of a multimodal integrative therapeutic intervention in patients presenting with chronic symptoms attributed to a postinfectious syndrome. Design: This was a prospective longitudinal single-center pilot study conducted from January 2019 to December 2020. Setting/Location: University of Maryland Lyme Program, Baltimore Maryland. Subjects: Persons presenting for Lyme evaluation for symptoms attributed to Lyme disease. Interventions: Participants attended two 1-h individual instructional sessions consisting of Ayurveda-based dietary intervention and breath-coordinated mind-body practice to be used for home practice. Outcome measures: Standard measures of impact were obtained at baseline, 1, 3, 6, and 12 months using the following validated survey instruments: Perceived Stress Scale (PSS), PROMIS Global Health v1.2 (GH), and PROMIS 29 v2.0 survey. Results: From 216 patients presenting for Lyme evaluation, 19 participants enrolled with 84% completing the study (N = 16). Baseline PROMIS GH scores consisting of general Physical Health (GPH) and general Mental Health (GMH) scores were lower in the study population than in the general U.S. population. PROMIS 29 scores were higher for fatigue, anxiety, and pain than those in the general U.S. population. Over 12-month period, improvement in both the GPH and GMH was 6.09 (confidence interval [95% CI] = 2.71-9.46; p < 0.001) and 4.65 (95% CI = 1.50-7.80; p = 0.004), respectively. PROMIS 29 scores showed the greatest improvement in fatigue at -7.91 (95% CI = -12.34 to -3.48; p < 0.001), pain interference -5.08 (95% CI = -9.20 to -0.96; p = 0.016), and ability to participate in social roles and activities 7.48 (95% CI = 3.21-11.75; p = 0.001) and least with depression -1.82 (95% CI = -4.74 to 1.10; p = 0.223). Employment status had significant effects on almost all outcome scores. Postinfectious state was associated with improvement in anxiety and PSS scores. Conclusions: A multimodal Ayurvedic and breath-coordinated mind-body therapeutic intervention is feasible and a potential nonpharmacologic therapeutic option for persons presenting with pain, stress, fatigue, physical dysfunction, and sleep disturbance attributed to a postinfectious syndrome. Further research is needed to determine efficacy in this population and in other groups with similar symptom complexes due to postinfectious syndromes.

Remote consent approaches for mobile phone surveys of non-communicable disease risk factors in Colombia and Uganda: A randomized study.

INTRODUCTION: Automated mobile phone surveys (MPS) can be used to collect public health data of various types to inform health policy and programs globally. One challenge in administering MPS is identification of an appropriate and effective participant consent process. This study investigated the impact of different survey consent approaches on participant disposition (response characteristics and understanding of the purpose of the survey) within the context of an MPS that measured noncommunicable disease (NCD) risk factors across Colombia and Uganda. METHODS: Participants were randomized to one of five consent approaches, with consent modules varying by the consent disclosure and mode of authorization. The control arm consisted of a standard consent disclosure and a combined opt-in/opt-out mode of authorization. The other four arms consist of a modified consent disclosure and one of four different forms of authorization (i.e., opt-in, opt-out, combined opt-in/opt-out, or implied). Data related to respondent disposition and respondent understanding of the survey purpose were analyzed. RESULTS: Among 1889 completed surveys in Colombia, differences in contact, response, refusal, and cooperation rates by study arms were found. About 68% of respondents correctly identified the survey purpose, with no significant difference by study arm. Participants reporting higher levels of education and urban residency were more likely to identify the purpose correctly. Participants were also more likely to accurately identify the survey purpose after completing several survey modules, compared to immediately following the consent disclosure (78.8% vs 54.2% correct, p<0.001). In Uganda, 1890 completed surveys were collected. Though there were differences in contact, refusal, and cooperation rates by study arm, response rates were similar across arms. About 37% of respondents identified the survey purpose correctly, with no difference by arm. Those with higher levels of education and who completed the survey in English were able to more accurately identify the survey purpose. Again, participants were more likely to accurately identify the purpose of the survey after completing several NCD modules, compared to immediately following the consent module (42.0% vs 32.2% correct, p = 0.013). CONCLUSION: This study contributes to the limited available evidence regarding consent procedures for automated MPS. Future studies should develop and trial additional interventions to enhance consent for automated public health surveys, and measure other dimensions of participant engagement and understanding.

Prevalence, awareness, and control of hypertension among Bangladeshi adults: an analysis of demographic and health survey 2017-18.

BACKGROUND: The prevalence of hypertension is increasing in Bangladesh, however, few recent studies investigated the proportion of people and factors associated with prevalence, awareness, and control of this condition in this country. This study investigated these among Bangladeshi adults. METHODS: Using Bangladesh Demographic and Health Survey 2017-18 data, a cross-sectional study was conducted. Multilevel logistic regression analysis was employed after descriptive analysis and prevalence estimation. RESULTS: Among 12,926 persons (mean age: 40 years, 57% women), the prevalence of hypertension was 27.4% (n = 3551), it was 28.4 and 26.2% among females and males, respectively. Among hypertensive people, about 42.4% (n = 1508) people were aware of having it, 48.7% among females and 33.5% among males. Of the 1313 people who were taking antihypertensive medication, only 33.8% (n = 443) had controlled hypertension, 34.7 and 31.7% among females and males, respectively. Among the studied factors associated with hypertension, people with older age, female gender, overweight/obesity, diabetes, richer wealth quintiles, and residence in some administrative divisions had higher odds of hypertension (p < 0.05). However, the odds of awareness was lower among younger people, males, and people without overweight/obesity, diabetes, or richer wealth quintiles. Odds of controlled hypertension was also lower among people with older age and higher among college-educated people. CONCLUSION: This study identified several important factors associated with prevalence, awareness, and control of hypertension. It is important to address these factors with nationwide prevention and control programs.

Association between height and hypertension among US adults: analyses of National Health and Nutrition Examination Survey 2007-18.

BACKGROUND: Previous studies that investigated association of height with prevalence and control of hypertension found mixed results. This cross-sectional study explored these associations among US adults (≥20 years). METHODS: The National Health and Nutrition Examination Survey (NHANES) 2007-18 data was analyzed. Height was measured in meters and was converted into centimeters (cm) and was further divided into quartiles: Q1 (135.3-159.2 cm), Q2 (159.3-166.2 cm), Q3 (166.3-173.6 cm), Q4 (173.7-204.5 cm). Hypertension definition of the '2017 American College of Cardiology/American Heart Association Guideline' was used. Logistic regression analyses were conducted to find out the association between the dependent variable and the covariates. Linear regression analyses were conducted to find out the association of height with systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and the covariates among the individuals who were not taking any antihypertensive drugs. Crude odds ratio, adjusted odds ratio (AOR), and adjusted beta-coefficient (for linear regression) with 95% confidence interval (CI) were reported. The following covariates were included: age, gender, race/ethnicity, family income, education level, cholesterol level, high-density lipoprotein level, chronic kidney disease status, diabetes status, smoker, aerobic leisure-time physical activity, and survey period. Sample weight of NHANES was adjusted. RESULTS: Among the 21,935 participants (47.1% males), the prevalence of hypertension was 46.1%. Among 6154 participants taking medication (43.0% males), 57.2% had uncontrolled hypertension. In the final logistic regression analyses, participants in Q2 height quartile had 20% lower odds of being hypertensive compared to those in Q4 height quartile (AOR: 0.8; 95% CI: 0.7,1.0). Other height categories did not reveal any significant association. Compared to Q4 height category, Q1 (AOR: 1.7; 95% CI: 1.2,2.3), Q2 (AOR: 1.4; 95% CI: 1.1,1.8), and Q3 (AOR: 1.3; 95% CI: 1.1,1.6) height categories had higher odds of uncontrolled hypertension. PP was inversely associated and DBP was positively associated with height. CONCLUSIONS: Although height was not associated with prevalence of hypertension, it had inverse association with uncontrolled hypertension. It was also significantly associated with DBP and PP among the individuals with untreated hypertension.

Surgery associated with increased survival compared to radiation in clinically localized Gleason 9-10 prostate cancer: a SEER analysis.

PURPOSE: Men with Gleason score 9-10 prostate cancer have worse outcomes compared to those with Gleason 8 disease. Upfront treatments remain controversial for these patients. Using the Surveillance, Epidemiology, and End Results (SEER) database, we evaluated the impact of initial treatment with external beam radiation therapy (EBRT), external beam radiation therapy with brachytherapy (EBRT + BT), or surgery on prostate cancer-specific mortality (PCSM) and overall mortality (OM) in Gleason 9-10 disease. METHODS: The SEER database was queried for men diagnosed with biopsy Gleason 9-10 prostate cancer from 2005 to 2014. Gathered data included demographic, pathologic, therapy received, and survival outcomes. Kaplan-Meier survival curves and crude and multivariate analyses were generated for initial therapy with EBRT, EBRT + BT, or surgery. RESULTS: A total of 7877 men were included, 4465 (56.7%) who underwent upfront treatment with EBRT alone, 623 (7.9%) with EBRT + BT, and 2789 (35.4%) with surgery. The 7 year PCSM rates were 29.2, 15.0, and 14.6% for EBRT, EBRT + BT, and surgery respectively (p < 0.001). The 7 year OM rates were 43.8, 27.2, and 20.0% for EBRT, EBRT + BT, and surgery, respectively (p < 0.001).When controlling for age, year of diagnosis, Gleason score, clinical T stage, and PSA level on multivariate analysis, EBRT had greater PCSM and OM than surgery (HR 0.41, 95% CI 0.28-0.61, p < 0.001 and HR 0.44, 95% CI 0.34-0.57, p < 0.001 respectively), but the mortality differences was not statistically significant between EBRT and EBRT + BT. CONCLUSION: Among men with localized Gleason 9-10 disease, surgery was associated with statistically significant improved survival outcomes compared to EBRT alone.

Determinants of hypertension in Nepal using odds ratios and prevalence ratios: an analysis of the Demographic and Health Survey 2016.

This cross-sectional study investigated the factors associated with hypertension among Nepalese adults aged 18 years or above using data from the Nepal Demographic and Health Survey 2016. Prevalence ratios (PRs) and odds ratios (ORs) were obtained using log-binomial regression and logistic regression, respectively. Initially, unadjusted PRs and ORs were obtained. The variables that yielded a significance level below 0.2 in unadjusted analyses were included in the multivariable analysis. The overall prevalence of hypertension among the 13,393 participants (58% male and 61.2% urban) was 21.1% (n = 2827). In the adjusted analysis, those aged 30-49 years (adjusted PR [APR]: 3.1, 95% Confidence Interval (CI): 2.6, 3.7; adjusted OR [AOR]: 3.6, 95% CI: 2.9, 4.5), 50-69 years (APR: 5.3, 95% CI: 4.4, 6.6; AOR: 8.2, 95% CI: 6.4, 10.4) and ≥70 years (APR: 7.3, 95% CI: 5.8, 9.2; AOR: 13.6, 95% CI: 10.1, 18.3) were more likely to be hypertensive than younger participants aged 18-29 years. Males (APR: 1.3, 95% CI: 1.2, 1.4; AOR: 1.5, 95% CI: 1.3, 1.7), overweight/obese participants (APR: 1.8, 95% CI: 1.7, 2.0; AOR: 2.4, 95% CI: 2.2, 2.8) and those in the richest wealth quintile (APR: 1.3, 95% CI: 1.1, 1.5; AOR: 1.5, 95% CI: 1.1, 1.9) had higher prevalences and odds of hypertension than their female, normal weight/underweight and poorest wealth quintile counterparts, respectively. Those residing in Province 4 (APR: 1.2, 95% CI: 1.0, 1.5; AOR: 1.4, 95% CI: 1.1, 1.8) and Province 5 (APR: 1.2, 95% CI: 1.0, 1.4; AOR: 1.3, 95% CI: 1.1, 1.7) were more likely to be hypertensive than those residing in Province 1. The point estimate was inflated more in magnitude by ORs than by PRs, but the direction of association remained the same. Public health programmes in Nepal aimed at preventing hypertension should raise awareness among the elderly, males, individuals in the richest wealth quintile and the residents of Provinces 4 and 5.

Association of dengue disease severity and blood group: A systematic review and meta-analysis.

Dengue disease encompasses various clinical manifestations including dengue fever (DF) and dengue hemorrhagic fever (DHF). In this article, we aimed to systematically review and analyze the association between different blood groups and severity of dengue. We searched nine databases for eligible papers reporting prevalence, distribution, and frequency of blood group type among dengue patients. Network meta-analysis using R software was used to analyze the data. Of a total of 63 reports screened, we included 10 studies with total sample size 1977 patients (1382 DF and 595 DHF). Blood group O was found to have the worst outcome with the highest risk of developing DF (P-score = 0.01) followed by group B (P-score = 0.34), group A (P-score = 0.64), and group AB (P-score = 1), respectively. Blood group O also had the worst outcome with highest risk of developing DHF (P-score = 0.1) followed by group B (P-score = 0.29), group A (P-score = 0.61), and group AB (P-score = 1), respectively. There was a significant increase (P-value <.001) in the overall odds risk of dengue infection among patients with Rhesus-positive blood groups [OR = 540.03; (95% CI = 151.48-1925.18)]. However, there was no significant difference in the odds risk of DF when compared to DHF according to Rhesus status (P-value = .954). This study identified the O blood group as a potential risk factor in predicting clinical severity in dengue patients which may be helpful in evaluating patients for their likely need for critical care.

Impact of the 2017 American College of Cardiology/American Heart Association Guidelines on Prevalence of Hypertension in Ghana.

We investigated the prevalence of hypertension in Ghana using the 2017 American College of Cardiology/American Heart Association (ACC/AHA) criteria and compared with prevalence estimates using the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC7) criteria. Among 13,220 Ghanaians aged 15-49 years, the prevalence of hypertension was 30.4% (95% CI: 29.3-31.6) based on the 2017 ACC/AHA guideline compared with 12.8% (95% CI: 12.0-13.6) when using the JNC7 guideline. The overall increase in prevalence was 17.6% (95% CI: 16.8-18.6). The increment in prevalence was 19.0% (95% CI: 17.5-20.7) among men and 17.7% (95% CI: 16.1-18.2) among women. People aged 40-49 years had the highest prevalence (51.1%; 95% CI: 49.0-53.3). We used multiple logistic regressions to obtain odds ratios. Urban dwelling, tertiary education, or being in higher wealth status was significantly associated with the odds of hypertension. The 2017 ACC/AHA guideline resulted in a significant increase in the prevalence of hypertension in Ghana. Scaling up of existing prevention and control strategies for hypertension such as health education through already established community health implementation and planning programs as well as improved screening and diagnostic protocols for hypertension should be prioritized.

Differences in prevalence and associated factors of underweight and overweight/obesity according to rural-urban residence strata among women of reproductive age in Bangladesh: evidence from a cross-sectional national survey.

OBJECTIVES: This study aimed to investigate the differences in prevalence and factors influencing underweight and overweight/obesity stratified by region of residence among women of reproductive age in Bangladesh. DESIGN: Secondary analysis of cross-sectional nationwide data. SETTING: This study used Bangladesh Demographic and Health Survey 2014 data. PARTICIPANTS: A weighted sample of 16 478 women of reproductive age (15-49 years) were included in the analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: Using the Asian-specific cut-off for body mass index, the primary outcome of this study was categorised as: underweight (<18.5 kg/m2), normal weight (18.5 to <23.0) kg/m2 and overweight/obese (≥23.0 kg/m2) stratified according to rural-urban residence. RESULTS: More than half of urban women (53%, n=2493) and one-third of rural women (33%, n=3968) were found to be overweight/obese. Around one-fifth of rural women (21%, n=2490) and almost one in eight urban women (12%, n=571) were reported as underweight. In the final multivariable analyses, increasing age, higher educational status and higher order wealth quintile, each had a significant positive association with being overweight/obese and an inverse association with being underweight. Urban unmarried women had lower odds of being overweight/obese compared with their married counterparts. Rural women who used contraceptives had significantly decreased odds (adjusted OR (AOR) 0.8, 95% CI 0.7 to 0.9) of being underweight compared with contraceptive non-users; no such association was noted in urban women. Women from Sylhet division in both urban (AOR 1.7, 95% CI 1.2 to 2.5) and rural regions (AOR 1.5, 95% CI 1.2 to 1.8) had increased odds of being underweight compared with women in Barisal division. CONCLUSIONS: This study found association of multiple factors with both overweight/obesity and underweight among Bangladeshi women of reproductive age. Public health programmes in Bangladesh aiming to prevent the double burden of malnutrition should focus these factors through comprehensive public awareness and cost-effective operational health interventions.

Prevalence and Determinants of Hypertension in India Based on the 2017 ACC/AHA Guideline: Evidence from the India National Family Health Survey.

OBJECTIVE: To estimate the prevalence and determinants of hypertension in India based on a new definition by the 2017 American College of Cardiology/American Heart Association (2017 ACC/AHA) Guideline for the Prevention, Detection, Evaluation and Management of High Blood Pressure in Adults, and compare prevalence estimates with those of the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC7). METHODS: We used the National Family Health Survey (NFHS-4) conducted in India (n = 212,007). We accounted for the sampling strategy by applying survey weights. RESULTS: Prevalence of hypertension among Indians aged 15-49 years was 40.6% (95% confidence interval [CI]: 40.3-41.0) and 13.0% (95% CI: 12.8-13.2) based on 2017 ACC/AHA and JNC7 guidelines respectively. The overall absolute increase in prevalence was 27.6% (95% CI:27.3-27.9). The absolute changes in crude prevalence of hypertension between the JNC7 and 2017 ACC/AHA guidelines for men and women were 31.4% (95% CI: 30.9-31.9) and 23.7% (95% CI: 23.5-23.9), respectively. As per both guidelines, the overall prevalence was significantly higher among older people, age, male sex, overweight/obesity, higher wealth status, and urban residence. CONCLUSION: Applying the 2017 ACC/AHA guideline to the Indian population led to a significant increase in the proportion of Indians with hypertension. There is also socioeconomic differences in the prevalence of hypertension as per both guidelines. Implementation and expansion of public health efforts for prevention and control strategies for hypertension is warranted.

Prevalence and factors associated with underweight, overweight and obesity among women of reproductive age in India.

INTRODUCTION: Although the prevalence of underweight is declining among Indian women, the prevalence of overweight/obesity is increasing. This study examined the prevalence and factors associated with underweight and overweight/obesity among reproductive-aged (i.e., 15-49 years) women in India. METHODS: This cross-sectional study analyzed data from the 2015-16 National Family Health Survey. The Asian and World Health Organization (WHO) recommended cutoffs for body mass index (BMI) were used to categorize body weight. The Asian and WHO BMI cutoffs for combined overweight/obesity were ≥ 23 and ≥ 25 kg/m2, respectively. Both recommendations had the same cutoff for underweight, < 18.5 kg/m2. After prevalence estimation, logistic regression was applied to investigate associated factors. RESULTS: Among 647,168 women, the median age and BMI was 30 years and 21.0 kg/m2, respectively. Based on the Asian cutoffs, the overall prevalence of underweight was 22.9%, overweight was 22.6%, and obesity was 10.7%, compared to 15.5% overweight and 5.1% obesity as per WHO cutoffs. The prevalence and odds of underweight were higher among young, nulliparous, contraceptive non-user, never-married, Hindu, backward castes, less educated, less wealthy, and rural women. According to both cutoffs, women who were older, ever-pregnant, ever-married, Muslims, castes other than backwards, highly educated, wealthy, and living in urban regions had higher prevalence and odds of overweight/obesity. CONCLUSION: The prevalence of both non-normal weight categories (i.e., underweight and overweight/obesity) was high. A large proportion of women are possibly at higher risks of cardiovascular and reproductive adverse events due to these double nutrition burdens. Implementing large-scale interventions based on these results is essential to address these issues.

Factors associated with hypertension among adults in Nepal as per the Joint National Committee 7 and 2017 American College of Cardiology/American Heart Association hypertension guidelines: a cross-sectional analysis of the demographic and health survey 2016.

OBJECTIVES: This study investigated the determinants of hypertension in Nepal according to both the Joint National Committee 7 (JNC7) and the American College of Cardiology/American Heart Association (2017 ACC/AHA) guidelines. DESIGN: Cross-sectional study. SETTING: This study used data collected from the 2016 Nepal Demographic and Health Survey data. PARTICIPANTS: 13 393 weighted adults aged ≥18 years enrolled by a stratified cluster sampling strategy were included in our analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was hypertension, which was defined according to JNC7 (systolic blood pressure (SBP) ≥140 mm Hg and/or diastolic blood pressure (DBP) ≥90 mm Hg) and 2017 ACC/AHA guidelines (SBP ≥130 mm Hg and/or DBP ≥80 mm Hg). Antihypertensive medication users were also classified as hypertensive. After descriptive analysis, multilevel logistic regression was applied to obtain ORs. RESULTS: About 21% (n=2827) and 44% (n=5918) of the individuals aged ≥18 years were classified as hypertensive according to the JNC7 and 2017 ACC/AHA guidelines, respectively. Following factors were found to be significantly associated with hypertension according to the 2017 ACC/AHA guideline: ≥70 years (adjusted OR (AOR) 5.2; 95% CI 4.3 to 6.2), 50-69 years (AOR 3.9; 95% CI 3.4 to 4.4) and 30-49 years (AOR 2.7; 95% CI 2.4 to 3.0) age groups, male gender (AOR 1.7; 95% CI 1.6 to 1.9), being overweight/obese (AOR 3.0; 95% CI 2.7 to 3.3), residence in provinces 4 (AOR 1.5; 95% CI 1.2 to 2.0) and 5 (AOR 1.5; 95% CI 1.2 to 1.9). No significant association was identified with household wealth status and ecological regions of residence using the 2017 ACC/AHA guideline. CONCLUSIONS: Per both guidelines, multiple factors were associated with hypertension. Public health programme aiming to prevent and control hypertension in Nepal should prioritise these factors and focus on individuals with a higher likelihood of hypertension irrespective of educational level, household wealth status and ecological regions of residence.

Post-Discharge Mortality of Older Adults with Traumatic Brain Injury or Other Trauma.

OBJECTIVES: Prior studies of mortality following traumatic brain injury (TBI) have not focused specifically on older adults compared with a non-TBI trauma cohort or included specific causes of death. The objectives of this study were, among adults aged 65 years and older, to (1) generate standardized mortality ratios (SMRs) by cause of death for TBI and a non-TBI trauma cohort compared with a general population, and (2) assess risk of mortality associated with TBI compared with a non-TBI trauma cohort. DESIGN: Retrospective cohort study of adults aged 65 years and older who were treated at an urban trauma center from 1997 to 2008. MEASUREMENTS: Data from the trauma registry were linked to the National Death Index through 2008 to obtain date and cause of death. We identified individuals with TBI and non-TBI trauma and calculated age- and sex-adjusted SMRs by comparing with the state general population. We next compared time to mortality between individuals with TBI (n = 852) and non-TBI trauma (n = 1050), adjusting for potential confounders. RESULTS: Compared with the age- and sex-adjusted state general population, older adults with TBI (SMR = 8.1; 95% confidence interval [CI] = 7.4-9.0) and non-TBI trauma (SMR = 6.7; 95% CI = 6.1-7.4) were at a greatly increased risk of mortality. Highest SMRs in both cohorts were observed for accidents. In adjusted Cox regression models, TBI was not associated with increased risk of all-cause mortality (hazard ratio = 1.03; 95% CI = .87-1.23) compared with non-TBI trauma. CONCLUSION: This study provides evidence that, over a 4-year follow-up of older adults, any moderate to severe injury is associated with increased mortality risk. Specifically, older injured adults are at high risk of death from accidental and therefore preventable causes, suggesting that intervention could reduce mortality. J Am Geriatr Soc 67:2382-2386, 2019.

Age-stratified prevalence, treatment status, and associated factors of hypertension among US adults following application of the 2017 ACC/AHA guideline.

The 2017 American College of Cardiology/American Heart Association Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults reduced the systolic/diastolic blood pressure thresholds to define hypertension, including recommendations about treatment initiations and goals. We estimated the age-stratified prevalence, treatment status, and factors associated with hypertension among US adults aged ≥ 20 years based on this guideline. This cross-sectional study used the 2011-2016 National Health and Nutrition Examination Survey data. The primary outcomes were the presence and treatment status of hypertension. Among 16,103 participants, the proportions (95% confidence interval) of hypertensive, treatment-indicated, untreated individuals among treatment-indicated, and treatment goals not met among treated for hypertension by age groups were, respectively, 17.4% (15.8-19.1), 6.9% (6.1-7.8), 67.6% (61.0-73.5), and 58.6% (46.1-70.2) among 20-34 years; 39.2% (37.0-41.5), 24.4% (22.4-26.5), 41.8% (37.7-46.0), and 50.4% (44.7-56.1) among 35-49 years; 62.3% (60.1-64.6), 51.4% (49.0-53.8), 31.0% (28.2-34.0), and 51.9% (47.6-56.1) among 50-64 years; 77.7% (75.3-79.8), 77.0% (74.7-79.2), 27.0% (24.3-29.8), and 63.1% (59.4-66.5) among ≥ 65 years; and 46.8% (45.4-48.3), 36.9% (35.4-38.5), 33.2% (30.9-35.5), and 56.7% (54.1-59.3) among overall population. Despite some dissimilarities, the prevalence, treatment eligibility, and odds of hypertension were higher among non-Hispanic blacks and among people with high cholesterol, low high-density lipoprotein, chronic kidney disease, diabetes, increased body weight, and low leisure-time physical activity in all age strata. The prevalence and treatment eligibility were high among adults from all age groups; however, a significant proportion of participants, especially those who were younger, had blood pressure levels above the treatment goals or were untreated. Addressing the associated characteristics from a younger age may help prevent the complications of hypertension.

Racial/ethnic disparities in prevalence, treatment, and control of hypertension among US adults following application of the 2017 American College of Cardiology/American Heart Association guideline.

The 2017 American College of Cardiology/American Heart Association (ACC/AHA) Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults recommends reduced systolic/diastolic blood pressure (SBP/DBP) cutoffs to define hypertension (i.e., by changing these from ≥140/90 to ≥130/80 mmHg), including new recommendations about indications and goals of antihypertensive treatment. This study reported the differences in age-adjusted prevalence and treatment status of hypertension according to race among US adults per the 2017 ACC/AHA guideline. The National Health and Nutrition Examination Survey 2011-16 data was analyzed. The main outcomes were age-adjusted prevalence and treatment status of hypertension among adults aged ≥20 years. After prevalence estimation, other proportions were obtained. The analysis included 16,103 adults (mean age: 47.6 years, 51.8% women). The age-adjusted proportions of adults with hypertension (59.0%, 95% confidence interval [CI]: 57.4%-60.6%), treatment-eligible for hypertension (49.3%, 95% CI: 47.7%-50.8%), and unmet treatment goals (63.8%, 95% CI: 60.0%-67.5%) among the treated were highest among non-Hispanic blacks. A large proportion of Mexican-Americans (46.5%, 95% CI: 42.0%-51.0%) and people of other races/ethnicities (49.3%, 95% CI: 45.5%-53.0%) were not receiving treatment despite having indication. Non-Hispanic blacks also had the highest prevalence of stage 2 hypertension. Among all races, prevalence, treatment-eligibility, and unmet treatment goals were higher among people with older age, male gender, diabetes, higher body weight, and higher cardiovascular disease risk while the majority of younger, lower/normal body weight, or non-diabetic people were untreated despite being eligible for treatment. The prevalence, treatment-eligibility, and unmet goals were substantially higher among non-Hispanic blacks. Moreover, disparities exist in treatment where Mexican-Americans and people of 'other races/ethnicities' were largely untreated despite having indication.

Factors associated with low birth weight in Afghanistan: a cross-sectional analysis of the demographic and health survey 2015.

OBJECTIVES: This study aimed to investigate the factors associated with low birth weight (LBW) in Afghanistan. DESIGN: Cross-sectional study. SETTING: This study used data collected from the Afghanistan Demographic and Health Survey 2015. PARTICIPANTS: Facility-based data from 2773 weighted live-born children enrolled by a two-stage sampling strategy were included in our analysis. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was LBW, defined as birth weight <2.5kg. RESULTS: Out of 2773 newborns, 15.5% (n=431) had LBW. Most of these newborns were females (58.3%, n=251), had a mother with no formal schooling (70.5%, n=304), lived in urban areas (63.4%, n=274) or lived in the Central region of Afghanistan (59.7%, n=257). In multivariable analysis, residence in Central (adjusted OR (AOR): 3.4; 95% CI 1.7 to 6.7), Central Western (AOR: 3.0; 95% CI 1.5 to 5.8) and Southern Western (AOR: 4.0; 95% CI 1.7 to 9.1) regions had positive association with LBW. On the other hand, male children (AOR: 0.5; 95% CI 0.4 to 0.8), newborns with primary maternal education (AOR: 0.5; 95% CI 0.3 to 0.8), birth interval ≥48 months (AOR: 0.4; 95% CI 0.1 to 0.8), belonging to the richest wealth quintile (AOR: 0.2; 95% CI 0.1 to 0.6) and rural residence (AOR: 0.3; 95% CI 0.2 to 0.6) had decreased odds of LBW. CONCLUSIONS: Multiple factors had association with LBW in Afghanistan. Maternal, Neonatal and Child Health programmes should focus on enhancing maternal education and promoting birth spacing to prevent LBW. To reduce the overall burden of LBW, women of the poorest wealth quintiles, and residents of Central, Central Western and South Western regions should also be prioritised. Further exploration is needed to understand why urban areas are associated with higher likelihood of LBW. In addition, research using nationally representative samples are required.

Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries.

INTRODUCTION: Increased mobile phone subscribership in low- and middle-income countries (LMICs) provides novel opportunities to track population health. The objective of this study was to examine reliability of data in comparing participant responses collected using two mobile phone survey (MPS) delivery modalities, computer assisted telephone interviews (CATI) and interactive voice response (IVR) in Bangladesh (BGD) and Tanzania (TZA). METHODS: Using a cross-over design, we used random digit dialing (RDD) to call randomly generated mobile phone numbers and recruit survey participants to receive either a CATI or IVR survey on non-communicable disease (NCD) risk factors, followed 7 days later by the survey mode not received during first contact; either IVR or CATI. Respondents who received the first survey were designated as first contact (FC) and those who consented to being called a second time and subsequently answered the call were designated as follow-up (FU). We used the same questionnaire for both contacts, with response options modified to suit the delivery mode. Reliability of responses was analyzed using the Cohen's kappa statistic for percent agreement between two modes. RESULTS: Self-reported data on demographic characteristics and NCD behavioral risk factors were collected from 482 (CATI-FC) and 653 (IVR-FC) age-eligible and consenting respondents in BGD, and from 387 (CATI-FC) and 674 (IVR-FC) respondents in TZA respectively. Survey follow-up rates were 30.7% (n = 482) for IVR-FU and 53.8% (n = 653) for CATI-FU in BGD; and 42.4% (n = 387) for IVR-FU and 49.9% (n = 674) for CATI-FU in TZA respectively. Overall, there was high consistency between delivery modalities for alcohol consumption in the past 30 days in both countries (kappa = 0.64 for CATI→IVR (BGD), kappa = 0.54 for IVR→CATI (BGD); kappa = 0.66 for CATI→IVR (TZA), kappa = 0.76 for IVR→CATI (TZA)), and current smoking (kappa = 0.68 for CATI→IVR (BGD), kappa = 0.69 for IVR→CATI (BGD); kappa = 0.39 for CATI→IVR (TZA), kappa = 0.50 for IVR→CATI (TZA)). There was moderate to substantial consistency in both countries for history of checking for hypertension and diabetes with kappa statistics ranging from 0.43 to 0.67. There was generally lower consistency in both countries for physical activity (vigorous and moderate) with kappa statistics ranging from 0.10 to 0.41, weekly fruit and vegetable with kappa ranging from 0.08 to 0.45, consumption of foods high in salt and efforts to limit salt with kappa generally below 0.3. CONCLUSIONS: The study found that when respondents are re-interviewed, the reliability of answers to most demographic and NCD variables is similar whether starting with CATI or IVR. The study underscores the need for caution when selecting questions for mobile phone surveys. Careful design can help ensure clarity of questions to minimize cognitive burden for respondents, many of whom may not have prior experience in taking automated surveys. Further research should explore possible differences and determinants of survey reliability between delivery modes and ideally compare both IVR and CATI surveys to in-person face-to-face interviews. In addition, research is needed to better understand factors that influence survey cooperation, completion, refusal and attrition rates across populations and contexts.