Suchergebnisse

Bildung und Gesundheit, zusammen auch Humankapital genannt, sind sowohl wichtige Ziele an sich als auch wichtige Faktoren für Armutsbekämpfung und Wirtschaftswachstum. Für die wirtschaftliche Entwicklung eines Landes ist es deswegen unerlässlich, Faktoren, die eine Verbesserung des Humankapitals behindern, zu erkennen und zu beseitigen. Daher untersucht diese Dissertation drei Hindernisse zur Verbesserung von Humankapital. Der erste Aufsatz untersucht, welche Auswirkungen die Auszahlung von Geldern und Trainingsangebote für Eltern und Lehrpersonal auf die Grundschulbildung in Sokoto, Nigeri...

Bildung und Gesundheit, zusammen auch Humankapital genannt, sind sowohl wichtige Ziele an sich als auch wichtige Faktoren für Armutsbekämpfung und Wirtschaftswachstum. Für die wirtschaftliche Entwicklung eines Landes ist es deswegen unerlässlich, Faktoren, die eine Verbesserung des Humankapitals behindern, zu erkennen und zu beseitigen. Daher untersucht diese Dissertation drei Hindernisse zur Verbesserung von Humankapital. Der erste Aufsatz untersucht, welche Auswirkungen die Auszahlung von Geldern und Trainingsangebote für Eltern und Lehrpersonal auf die Grundschulbildung in Sokoto, Nigeri...

The relationship between depression, diabetes, and access to diabetes care is es-
tablished in high-income countries (HICs) but not in middle-income countries
(MICs), where contexts and health systems differ and may impact this relation-
ship. In this study, we investigate access to diabetes care for individuals with and
without depressive symptoms in MICs.
We analyzed pooled data from nationally representative household surveys across
Brazil, Chile, China, Indonesia, and Mexico. Validated survey tools Center for Epidemio-
logic Studies Depression Scale Revised, Composite International Diagnostic Interview,
Short Form, and Patient Health Questionnaire identified participants with depressive
symptoms. Diabetes, defined per World Health Organization Package of Essential Non-
communicable Disease Interventions guidelines, included self-reported medication use
and biochemical data. The primary focus was on tracking diabetes care progression
through the stages of diagnosis, treatment, and glycemic control. Descriptive and mul-
tivariable logistic regression analyses, accounting for gender, age, education, and BMI,
examined diabetes prevalence and care continuum progression.
The pooled sample included 18,301 individuals aged 50 years and above; 3,309
(18.1%) had diabetes, and 3,934 (21.5%) exhibited depressive symptoms. Diabe-
tes prevalence was insignificantly higher among those with depressive symptoms
(28.9%) compared with those without (23.8%, P = 0.071). Co-occurrence of diabe-
tes and depression was associated with increased odds of diabetes detection
(odds ratio [OR] 1.398, P < 0.001) and treatment (OR 1.344, P < 0.001), but not
with higher odds of glycemic control (OR 0.913, P = 0.377).
In MICs, individuals aged 50 years and older with diabetes and depression showed height-
ened diabetes identification and treatment probabilities, unlike patterns seen in HICs.
This underscores the unique interplay of these conditions in different income settings.

BACKGROUND: Evidence on where in the hypertension care process individuals are lost to care, and how this varies among states and population groups in a country as large as India, is essential for the design of targeted interventions and to monitor progress. Yet, to our knowledge, there has not yet been a nationally representative analysis of the proportion of adults who reach each step of the hypertension care process in India. This study aimed to determine (i) the proportion of adults with hypertension who have been screened, are aware of their diagnosis, take antihypertensive treatment, and have achieved control and (ii) the variation of these care indicators among states and sociodemographic groups. METHODS AND FINDINGS: We used data from a nationally representative household survey carried out from 20 January 2015 to 4 December 2016 among individuals aged 15-49 years in all states and union territories (hereafter "states") of the country. The stages of the care process-computed among those with hypertension at the time of the survey-were (i) having ever had one's blood pressure (BP) measured before the survey ("screened"), (ii) having been diagnosed ("aware"), (iii) currently taking BP-lowering medication ("treated"), and (iv) reporting being treated and not having a raised BP ("controlled"). We disaggregated these stages by state, rural-urban residence, sex, age group, body mass index, tobacco consumption, household wealth quintile, education, and marital status. In total, 731,864 participants were included in the analysis. Hypertension prevalence was 18.1% (95% CI 17.8%-18.4%). Among those with hypertension, 76.1% (95% CI 75.3%-76.8%) had ever received a BP measurement, 44.7% (95% CI 43.6%-45.8%) were aware of their diagnosis, 13.3% (95% CI 12.9%-13.8%) were treated, and 7.9% (95% CI 7.6%-8.3%) had achieved control. Male sex, rural location, lower household wealth, and not being married were associated with greater losses at each step of the care process. Between states, control among individuals with hypertension varied from 2.4% (95% CI 1.7%-3.3%) in Nagaland to 21.0% (95% CI 9.8%-39.6%) in Daman and Diu. At 38.0% (95% CI 36.3%-39.0%), 28.8% (95% CI 28.5%-29.2%), 28.4% (95% CI 27.7%-29.0%), and 28.4% (95% CI 27.8%-29.0%), respectively, Puducherry, Tamil Nadu, Sikkim, and Haryana had the highest proportion of all adults (irrespective of hypertension status) in the sampled age range who had hypertension but did not achieve control. The main limitation of this study is that its results cannot be generalized to adults aged 50 years and older-the population group in which hypertension is most common. CONCLUSIONS: Hypertension prevalence in India is high, but the proportion of adults with hypertension who are aware of their diagnosis, are treated, and achieve control is low. Even after adjusting for states' economic development, there is large variation among states in health system performance in the management of hypertension. Improvements in access to hypertension diagnosis and treatment are especially important among men, in rural areas, and in populations with lower household wealth.

BACKGROUND: Evidence on where in the hypertension care process individuals are lost to care, and how this varies among states and population groups in a country as large as India, is essential for the design of targeted interventions and to monitor progress. Yet, to our knowledge, there has not yet been a nationally representative analysis of the proportion of adults who reach each step of the hypertension care process in India. This study aimed to determine (i) the proportion of adults with hypertension who have been screened, are aware of their diagnosis, take antihypertensive treatment, and have achieved control and (ii) the variation of these care indicators among states and sociodemographic groups. METHODS AND FINDINGS: We used data from a nationally representative household survey carried out from 20 January 2015 to 4 December 2016 among individuals aged 15-49 years in all states and union territories (hereafter "states") of the country. The stages of the care process-computed among those with hypertension at the time of the survey-were (i) having ever had one's blood pressure (BP) measured before the survey ("screened"), (ii) having been diagnosed ("aware"), (iii) currently taking BP-lowering medication ("treated"), and (iv) reporting being treated and not having a raised BP ("controlled"). We disaggregated these stages by state, rural-urban residence, sex, age group, body mass index, tobacco consumption, household wealth quintile, education, and marital status. In total, 731,864 participants were included in the analysis. Hypertension prevalence was 18.1% (95% CI 17.8%-18.4%). Among those with hypertension, 76.1% (95% CI 75.3%-76.8%) had ever received a BP measurement, 44.7% (95% CI 43.6%-45.8%) were aware of their diagnosis, 13.3% (95% CI 12.9%-13.8%) were treated, and 7.9% (95% CI 7.6%-8.3%) had achieved control. Male sex, rural location, lower household wealth, and not being married were associated with greater losses at each step of the care process. Between states, control among individuals with hypertension varied from 2.4% (95% CI 1.7%-3.3%) in Nagaland to 21.0% (95% CI 9.8%-39.6%) in Daman and Diu. At 38.0% (95% CI 36.3%-39.0%), 28.8% (95% CI 28.5%-29.2%), 28.4% (95% CI 27.7%-29.0%), and 28.4% (95% CI 27.8%-29.0%), respectively, Puducherry, Tamil Nadu, Sikkim, and Haryana had the highest proportion of all adults (irrespective of hypertension status) in the sampled age range who had hypertension but did not achieve control. The main limitation of this study is that its results cannot be generalized to adults aged 50 years and older-the population group in which hypertension is most common. CONCLUSIONS: Hypertension prevalence in India is high, but the proportion of adults with hypertension who are aware of their diagnosis, are treated, and achieve control is low. Even after adjusting for states' economic development, there is large variation among states in health system performance in the management of hypertension. Improvements in access to hypertension diagnosis and treatment are especially important among men, in rural areas, and in populations with lower household wealth. ; peerReviewed

AbstractIntroductionRecent evidence has raised questions about whether newer HIV treatment regimens, including dolutegravir (DTG) and tenofovir alafenamide (TAF), are associated with increases in blood pressure (BP).MethodsWe assessed changes in BP by treatment regimen and evaluated the relative contribution of kidney function and weight gain to these changes among participants in the ADVANCE phase‐3 trial clinical trial in South Africa (study dates: January 2017–February 2022). Our primary outcome of interest was a change in systolic BP (SBP) at 96 and 192 weeks, among those not receiving antihypertensive medication. The secondary outcome was treatment‐emergent hypertension at these same time points, defined as BP ≥140/90 mmHg on two occasions, or initiation of antihypertensive medication after week 4 among individuals without hypertension at enrolment. We used linear regression to evaluate the relationship between change in estimated glomerular filtration rate (eGFR) and change in SBP; and Poisson regression to evaluate the relationship between change in eGFR and treatment‐emergent hypertension at each time point. All models were adjusted for age, sex, treatment group and change in body mass index (BMI).ResultsOver 96 weeks, the average changes in SBP were 1.7 mmHg (95% CI: 0.0−3.4), −0.5 mmHg (95% CI: −2.2 to 1.7) and −2.1 mmHg (95% CI: −3.8 to 0.4) in the TAF/emtricitabine (FTC)/DTG, tenofovir disoproxil fumarate (TDF)/FTC/DTG and TDF/FTC/efavirenz (EFV) groups, respectively. This difference was significant for the TAF/FTC/DTG compared to the TDF/FTC/EFV group (p = 0.002). Over 96 weeks, 18.2% (95% CI: 13.4–22.9), 15.4% (95% CI: 11.0–19.9) and 13.3% (95% CI: 8.9–17.6) of participants developed treatment‐emergent hypertension, respectively. In adjusted models, there was no significant relationship between change in eGFR and either outcome. Change in BMI was significantly associated with an increase in SBP, while age was associated with an increased risk of treatment‐emergent hypertension. Adjustment for BMI also mitigated the unadjusted relationship between HIV treatment regimen and SBP where present.ConclusionsIn the ADVANCE cohort, weight gain and age accounted for increases in BP and risk of treatment‐emergent hypertension. HIV treatment programmes may need to integrate the management of obesity and hypertension into routine care.Clinical Trial NumberNCT03122262

In this article, we describe the dataset used in our study entitled "The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults", recently published in Social Science & Medicine, and present supplementary analyses. We used data from three different household surveys in India, which are representative at the district level. Specifically, we analyzed pooled data from the District-Level Household Survey 4 (DLHS-4) and the second update of the Annual Health Survey (AHS), and separately analyzed data from the National Family Health Survey (NFHS-4). The DLHS-4 and AHS sampled adults aged 18 years or older between 2012 and 2014, while the NFHS-4 sampled women aged 15–49 years and - in a subsample of 15% of households - men aged 15–54 years in 2015 and 2016. The measures of individual-level socio-economic status that we used in both datasets were educational attainment and household wealth quintiles. The measures of district-level development, which we calculated from these data, were i) the percentage of participants living in an urban area, ii) female literacy rate, and iii) the district-level median of the continuous household wealth index. An additional measure of district-level development that we used was Gross Domestic Product per capita, which we obtained from the Planning Commission of the Government of India for 2004/2005. Our outcome variables were diabetes, hypertension, obesity, and current smoking. The data were analyzed using both district-level regressions and multilevel modelling.

AbstractIntroduction: In South Africa, older adults make up a growing proportion of people living with HIV. HIV programmes are likely to reach older South Africans in home‐based interventions where testing is not always feasible. We evaluate the accuracy of self‐reported HIV status, which may provide useful information for targeting interventions or offer an alternative to biomarker testing.Methods: Data were taken from the Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) baseline survey, which was conducted in rural Mpumalanga province, South Africa. A total of 5059 participants aged ≥40 years were interviewed from 2014 to 2015. Self‐reported HIV status and dried bloodspots for HIV biomarker testing were obtained during at‐home interviews. We calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for self‐reported status compared to "gold standard" biomarker results. Log‐binomial regression explored associations between demographic characteristics, antiretroviral therapy (ART) status and sensitivity of self‐report.Results: Most participants (93%) consented to biomarker testing. Of those with biomarker results, 50.9% reported knowing their HIV status and accurately reported it. PPV of self‐report was 94.1% (95% confidence interval (CI): 92.0–96.0), NPV was 87.2% (95% CI: 86.2–88.2), sensitivity was 51.2% (95% CI: 48.2–54.3) and specificity was 99.0% (95% CI: 98.7–99.4). Participants on ART were more likely to report their HIV‐positive status, and participants reporting false‐negatives were more likely to have older HIV tests.Conclusions: The majority of participants were willing to share their HIV status. False‐negative reports were largely explained by lack of testing, suggesting HIV stigma is retreating in this setting, and that expansion of HIV testing and retesting is still needed in this population. In HIV interventions where testing is not possible, self‐reported status should be considered as a routine first step to establish HIV status.

AbstractIntroductionParticipation in antiretroviral therapy (ART) programmes has been associated with greater utilization of care for hypertension and diabetes in rural South Africa. The objective of this study was to assess whether people living with HIV on ART with comorbid hypertension or diabetes also have improved chronic disease management indicators.MethodsThe Health and Aging in Africa: a longitudinal study of an INDEPTH Community in South Africa (HAALSI) is a cohort of 5059 adults >40 years old. Enrollment took place between November 2014 and November 2015. The study collected population‐based data on demographics, healthcare utilization, height, weight, blood pressure (BP) and blood glucose as well as HIV infection, HIV‐1 RNA viral load (VL) and ART exposure. We used regression models to determine whether HIV care cascade stage (HIV‐negative, HIV+ /No ART, ART/Detected HIV VL, and ART/Undetectable VL) was associated with diagnosis or treatment of hypertension or diabetes, and systolic blood pressure and glucose among those with diagnosed hypertension or diabetes. ART use was measured from drug level testing on dried blood spots.Results and discussionCompared to people without HIV, ART/Undetectable VL was associated with greater awareness of hypertension diagnosis (adjusted risk ratio (aRR) 1.18, 95% CI: 1.09 to 1.28) and treatment of hypertension (aRR 1.24, 95% CI: 1.10 to 1.41) among those who met hypertension diagnostic criteria. HIV care cascade stage was not significantly associated with awareness of diagnosis or treatment of diabetes. Among those with diagnosed hypertension or diabetes, ART/Undetectable VL was associated with lower mean systolic blood pressure (5.98 mm Hg, 95% CI: 9.65 to 2.32) and lower mean glucose (3.77 mmol/L, 95% CI: 6.85 to 0.69), compared to being HIV‐negative.ConclusionsParticipants on ART with an undetectable VL had lower systolic blood pressure and blood glucose than the HIV‐negative participants. HIV treatment programmes may provide a platform for health systems strengthening for cardiometabolic disease.