Vollmer, Sebastian

[["dc.bibliographiccitation.firstpage","652"],["dc.bibliographiccitation.issue","10199"],["dc.bibliographiccitation.journal","The Lancet"],["dc.bibliographiccitation.lastpage","662"],["dc.bibliographiccitation.volume","394"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Marcus, Maja-Emilia"],["dc.contributor.author","Ebert, Cara"],["dc.contributor.author","Zhumadilov, Zhaxybay"],["dc.contributor.author","Wesseh, Chea S"],["dc.contributor.author","Tsabedze, Lindiwe"],["dc.contributor.author","Supiyev, Adil"],["dc.contributor.author","Sturua, Lela"],["dc.contributor.author","Bahendeka, Silver K"],["dc.contributor.author","Sibai, Abla M"],["dc.contributor.author","Quesnel-Crooks, Sarah"],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Mwangi, Kibachio J"],["dc.contributor.author","Mwalim, Omar"],["dc.contributor.author","Wong-McClure, Roy"],["dc.contributor.author","Mayige, Mary T"],["dc.contributor.author","Martins, Joao S"],["dc.contributor.author","Lunet, Nuno"],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Karki, Khem B"],["dc.contributor.author","Kagaruki, Gibson B"],["dc.contributor.author","Jorgensen, Jutta M A"],["dc.contributor.author","Hwalla, Nahla C"],["dc.contributor.author","Houinato, Dismand"],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Msaidié, Mohamed"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Gurung, Mongal S"],["dc.contributor.author","Gathecha, Gladwell"],["dc.contributor.author","Dorobantu, Maria"],["dc.contributor.author","Damasceno, Albertino"],["dc.contributor.author","Bovet, Pascal"],["dc.contributor.author","Bicaba, Brice W"],["dc.contributor.author","Aryal, Krishna K"],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Agoudavi, Kokou"],["dc.contributor.author","Stokes, Andrew"],["dc.contributor.author","Davies, Justine I"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Jaacks, Lindsay M"],["dc.date.accessioned","2020-12-10T15:21:55Z"],["dc.date.available","2020-12-10T15:21:55Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/S0140-6736(19)30955-9"],["dc.identifier.issn","0140-6736"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73215"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.workinggroup","RTG 2654: Sustainable Food Systems (Related Publications)"],["dc.title","The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1003268"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","PLoS Medicine"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Reddiar, Sumithra Krishnamurthy"],["dc.contributor.author","Hirschhorn, Lisa R."],["dc.contributor.author","Ebert, Cara"],["dc.contributor.author","Marcus, Maja-Emilia"],["dc.contributor.author","Seiglie, Jacqueline A."],["dc.contributor.author","Zhumadilov, Zhaxybay"],["dc.contributor.author","Supiyev, Adil"],["dc.contributor.author","Sturua, Lela"],["dc.contributor.author","Silver, Bahendeka K."],["dc.contributor.author","Sibai, Abla M."],["dc.contributor.author","Quesnel-Crooks, Sarah"],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Mwangi, Joseph K."],["dc.contributor.author","Omar, Omar Mwalim"],["dc.contributor.author","Wong-McClure, Roy"],["dc.contributor.author","Mayige, Mary T."],["dc.contributor.author","Martins, Joao S."],["dc.contributor.author","Lunet, Nuno"],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Karki, Khem B."],["dc.contributor.author","Kagaruki, Gibson B."],["dc.contributor.author","Jorgensen, Jutta M. A."],["dc.contributor.author","Hwalla, Nahla C."],["dc.contributor.author","Houinato, Dismand"],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Gurung, Mongal S."],["dc.contributor.author","Bovet, Pascal"],["dc.contributor.author","Bicaba, Brice W."],["dc.contributor.author","Aryal, Krishna K."],["dc.contributor.author","Msaidié, Mohamed"],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Brian, Garry"],["dc.contributor.author","Stokes, Andrew"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.editor","Kruk, Margaret E."],["dc.date.accessioned","2021-04-14T08:31:16Z"],["dc.date.available","2021-04-14T08:31:16Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1371/journal.pmed.1003268"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83537"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1549-1676"],["dc.title","Association between country preparedness indicators and quality clinical care for cardiovascular disease risk factors in 44 lower- and middle-income countries: A multicountry analysis of survey data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","International Journal of Epidemiology"],["dc.contributor.author","Teufel, Felix"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Sudharsanan, Nikkil"],["dc.contributor.author","Subramanyam, Malavika"],["dc.contributor.author","Yapa, H Manisha"],["dc.contributor.author","De Neve, Jan-Walter"],["dc.contributor.author","Vollmer,, Sebastian"],["dc.contributor.author","Bärnighausen, Till"],["dc.date.accessioned","2021-08-12T07:45:14Z"],["dc.date.available","2021-08-12T07:45:14Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Background At the individual level, it is well known that pregnancies have a short-term effect on a woman’s cardiovascular system and blood pressure. The long-term effect of having children on maternal blood pressure, however, is unknown. We thus estimated the causal effect of having children on blood pressure among mothers in India, a country with a history of high fertility rates. Methods We used nationally representative cross-sectional data from the 2015–16 India National Family and Health Survey (NFHS-4). The study population comprised 444 611 mothers aged 15–49 years. We used the sex of the first-born child as an instrumental variable (IV) for the total number of a woman’s children. We estimated the effect of an additional child on systolic and diastolic blood pressure in IV (two-stage least squares) regressions. In additional analyses, we stratified the IV regressions by time since a mother last gave birth. Furthermore, we repeated our analyses using mothers' husbands and partners as the regression sample. Results On average, mothers had 2.7 children [standard deviation (SD): 1.5], a systolic blood pressure of 116.4 mmHg (SD: 14.4) and diastolic blood pressure of 78.5 mmHg (SD: 9.4). One in seven mothers was hypertensive. In conventional ordinary least squares regression, each child was associated with 0.42 mmHg lower systolic [95% confidence interval (CI): –0.46 to –0.39, P < 0.001] and 0.13 mmHg lower diastolic (95% CI: –0.15 to –0.11, P < 0.001) blood pressure. In the IV regressions, each child decreased a mother’s systolic blood pressure by an average of 1.00 mmHg (95% CI: –1.26 to –0.74, P < 0.001) and diastolic blood pressure by an average of 0.35 mmHg (95% CI: –0.52 to –0.17, P < 0.001). These decreases were sustained over more than a decade after childbirth, with effect sizes slightly declining as the time since last birth increased. Having children did not influence blood pressure in men. Conclusions Bearing and rearing a child decreases blood pressure among mothers in India."],["dc.description.abstract","Abstract Background At the individual level, it is well known that pregnancies have a short-term effect on a woman’s cardiovascular system and blood pressure. The long-term effect of having children on maternal blood pressure, however, is unknown. We thus estimated the causal effect of having children on blood pressure among mothers in India, a country with a history of high fertility rates. Methods We used nationally representative cross-sectional data from the 2015–16 India National Family and Health Survey (NFHS-4). The study population comprised 444 611 mothers aged 15–49 years. We used the sex of the first-born child as an instrumental variable (IV) for the total number of a woman’s children. We estimated the effect of an additional child on systolic and diastolic blood pressure in IV (two-stage least squares) regressions. In additional analyses, we stratified the IV regressions by time since a mother last gave birth. Furthermore, we repeated our analyses using mothers' husbands and partners as the regression sample. Results On average, mothers had 2.7 children [standard deviation (SD): 1.5], a systolic blood pressure of 116.4 mmHg (SD: 14.4) and diastolic blood pressure of 78.5 mmHg (SD: 9.4). One in seven mothers was hypertensive. In conventional ordinary least squares regression, each child was associated with 0.42 mmHg lower systolic [95% confidence interval (CI): –0.46 to –0.39, P < 0.001] and 0.13 mmHg lower diastolic (95% CI: –0.15 to –0.11, P < 0.001) blood pressure. In the IV regressions, each child decreased a mother’s systolic blood pressure by an average of 1.00 mmHg (95% CI: –1.26 to –0.74, P < 0.001) and diastolic blood pressure by an average of 0.35 mmHg (95% CI: –0.52 to –0.17, P < 0.001). These decreases were sustained over more than a decade after childbirth, with effect sizes slightly declining as the time since last birth increased. Having children did not influence blood pressure in men. Conclusions Bearing and rearing a child decreases blood pressure among mothers in India."],["dc.identifier.doi","10.1093/ije/dyab058"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88401"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-448"],["dc.relation.eissn","1464-3685"],["dc.relation.issn","0300-5771"],["dc.title","The effect of bearing and rearing a child on blood pressure: a nationally representative instrumental variable analysis of 444611 mothers in India"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1003485"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PLoS Medicine"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Peiris, David"],["dc.contributor.author","Ghosh, Arpita"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Marcus, Maja E."],["dc.contributor.author","Zhumadilov, Zhaxybay"],["dc.contributor.author","Tsabedze, Lindiwe"],["dc.contributor.author","Supiyev, Adil"],["dc.contributor.author","Silver, Bahendeka K."],["dc.contributor.author","Sibai, Abla M."],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Mayige, Mary T."],["dc.contributor.author","Martins, Joao S."],["dc.contributor.author","Lunet, Nuno"],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Jorgensen, Jutta M. A."],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Gurung, Mongal S."],["dc.contributor.author","Damasceno, Albertino"],["dc.contributor.author","Aryal, Krishna K."],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Agoudavi, Kokou"],["dc.contributor.author","McKenzie, Briar"],["dc.contributor.author","Webster, Jacqui"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.editor","Ntsekhe, Mpiko"],["dc.date.accessioned","2021-04-14T08:28:04Z"],["dc.date.available","2021-04-14T08:28:04Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1371/journal.pmed.1003485"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82495"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1549-1676"],["dc.title","Cardiovascular disease risk profile and management practices in 45 low-income and middle-income countries: A cross-sectional study of nationally representative individual-level survey data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e1002751"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","PLOS Medicine"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Agoudavi, Kokou"],["dc.contributor.author","Andall-Brereton, Glennis"],["dc.contributor.author","Aryal, Krishna K."],["dc.contributor.author","Bicaba, Brice Wilfried"],["dc.contributor.author","Bovet, Pascal"],["dc.contributor.author","Brian, Garry"],["dc.contributor.author","Dorobantu, Maria"],["dc.contributor.author","Gathecha, Gladwell"],["dc.contributor.author","Singh Gurung, Mongal"],["dc.contributor.author","Guwatudde, David"],["dc.contributor.author","Msaidie, Mohamed"],["dc.contributor.author","Houehanou, Corine"],["dc.contributor.author","Houinato, Dismand"],["dc.contributor.author","Jorgensen, Jutta Mari Adelin"],["dc.contributor.author","Kagaruki, Gibson B."],["dc.contributor.author","Karki, Khem B."],["dc.contributor.author","Labadarios, Demetre"],["dc.contributor.author","Martins, Joao S."],["dc.contributor.author","Mayige, Mary T."],["dc.contributor.author","McClure, Roy Wong"],["dc.contributor.author","Mwalim, Omar"],["dc.contributor.author","Mwangi, Joseph Kibachio"],["dc.contributor.author","Norov, Bolormaa"],["dc.contributor.author","Quesnel-Crooks, Sarah"],["dc.contributor.author","Silver, Bahendeka K."],["dc.contributor.author","Sturua, Lela"],["dc.contributor.author","Tsabedze, Lindiwe"],["dc.contributor.author","Wesseh, Chea Stanford"],["dc.contributor.author","Stokes, Andrew"],["dc.contributor.author","Marcus, Maja"],["dc.contributor.author","Ebert, Cara"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.author","Bärnighausen, Till W."],["dc.contributor.author","Jaacks, Lindsay M."],["dc.date.accessioned","2019-07-09T11:50:19Z"],["dc.date.available","2019-07-09T11:50:19Z"],["dc.date.issued","2019"],["dc.description.abstract","BACKGROUND: The prevalence of diabetes is increasing rapidly in low- and middle-income countries (LMICs), urgently requiring detailed evidence to guide the response of health systems to this epidemic. In an effort to understand at what step in the diabetes care continuum individuals are lost to care, and how this varies between countries and population groups, this study examined health system performance for diabetes among adults in 28 LMICs using a cascade of care approach. METHODS AND FINDINGS: We pooled individual participant data from nationally representative surveys done between 2008 and 2016 in 28 LMICs. Diabetes was defined as fasting plasma glucose ≥ 7.0 mmol/l (126 mg/dl), random plasma glucose ≥ 11.1 mmol/l (200 mg/dl), HbA1c ≥ 6.5%, or reporting to be taking medication for diabetes. Stages of the care cascade were as follows: tested, diagnosed, lifestyle advice and/or medication given (\"treated\"), and controlled (HbA1c < 8.0% or equivalent). We stratified cascades of care by country, geographic region, World Bank income group, and individual-level characteristics (age, sex, educational attainment, household wealth quintile, and body mass index [BMI]). We then used logistic regression models with country-level fixed effects to evaluate predictors of (1) testing, (2) treatment, and (3) control. The final sample included 847,413 adults in 28 LMICs (8 low income, 9 lower-middle income, 11 upper-middle income). Survey sample size ranged from 824 in Guyana to 750,451 in India. The prevalence of diabetes was 8.8% (95% CI: 8.2%-9.5%), and the prevalence of undiagnosed diabetes was 4.8% (95% CI: 4.5%-5.2%). Health system performance for management of diabetes showed large losses to care at the stage of being tested, and low rates of diabetes control. Total unmet need for diabetes care (defined as the sum of those not tested, tested but undiagnosed, diagnosed but untreated, and treated but with diabetes not controlled) was 77.0% (95% CI: 74.9%-78.9%). Performance along the care cascade was significantly better in upper-middle income countries, but across all World Bank income groups, only half of participants with diabetes who were tested achieved diabetes control. Greater age, educational attainment, and BMI were associated with higher odds of being tested, being treated, and achieving control. The limitations of this study included the use of a single glucose measurement to assess diabetes, differences in the approach to wealth measurement across surveys, and variation in the date of the surveys. CONCLUSIONS: The study uncovered poor management of diabetes along the care cascade, indicating large unmet need for diabetes care across 28 LMICs. Performance across the care cascade varied by World Bank income group and individual-level characteristics, particularly age, educational attainment, and BMI. This policy-relevant analysis can inform country-specific interventions and offers a baseline by which future progress can be measured."],["dc.identifier.doi","10.1371/journal.pmed.1002751"],["dc.identifier.pmid","30822339"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15910"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59747"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1549-1676"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","300"],["dc.subject.ddc","320"],["dc.title","Health system performance for people with diabetes in 28 low- and middle-income countries: A cross-sectional study of nationally representative surveys"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1002581"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PLoS Medicine"],["dc.bibliographiccitation.volume","15"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Awasthi, Ashish"],["dc.contributor.author","Danaei, Goodarz"],["dc.contributor.author","Gaziano, Thomas A."],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.contributor.editor","Peiris, David"],["dc.date.accessioned","2020-12-10T18:42:04Z"],["dc.date.available","2020-12-10T18:42:04Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1371/journal.pmed.1002581"],["dc.identifier.eissn","1549-1676"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15669"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77794"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Geographic and sociodemographic variation of cardiovascular disease risk in India: A cross-sectional study of 797,540 adults"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","014107682210773"],["dc.bibliographiccitation.journal","Journal of the Royal Society of Medicine"],["dc.contributor.author","Lemp, Julia M"],["dc.contributor.author","Nuthanapati, Meghana Prasad"],["dc.contributor.author","Bärnighausen, Till W"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Jani, Anant"],["dc.date.accessioned","2022-04-01T10:03:00Z"],["dc.date.available","2022-04-01T10:03:00Z"],["dc.date.issued","2022"],["dc.description.abstract","Summary Objective Lifestyle interventions can be efficacious in reducing cardiovascular disease risk factors and are recommended as first-line interventions in England. However, recent information on the use of these interventions in primary care is lacking. We investigated for how many patients with newly diagnosed hypertension, hyperlipidaemia or obesity, lifestyle interventions were recorded in their primary care electronic health record. Design A retrospective cohort study. Setting English primary care, using UK Clinical Practice Research Datalink. Participants A total of 770,711 patients who were aged 18 years or older and received a new diagnosis of hypertension, hyperlipidaemia or obesity between 2010 and 2019. Main outcome measures Record of lifestyle intervention and/or medication in 12 months before to 12 months after initial diagnosis (2-year timeframe). Results Analyses show varying results across conditions: While 55.6% (95% CI 54.9–56.4) of individuals with an initial diagnosis of hypertension were recorded as having lifestyle support (lifestyle intervention or signposting) within the 2-year timeframe, this number was reduced to 45.2% (95% CI 43.8–46.6) for hyperlipidaemia and 52.6% (95% CI 51.1–54.1) for obesity. For substantial proportions of individuals neither lifestyle support nor medication (hypertension: 12.2%, 95% CI 11.9–12.5; hyperlipidaemia: 32.2%, 95% CI 31.2–33.3; obesity: 43.9%, 95% CI 42.3–45.4) were recorded. Sensitivity analyses confirm that limited proportions of patients had lifestyle support recorded in their electronic health record before they were first prescribed medication (diagnosed and undiagnosed), ranging from 12.1% for hypertension to 19.7% for hyperlipidaemia, and 19.5% for obesity (23.4% if restricted to Orlistat). Conclusions Limited evidence of lifestyle support for individuals with cardiovascular risk factors (hypertension, hyperlipidaemia, obesity) recommended by national guidelines in England may stem from poor recording in electronic health records but may also represent missed opportunities. Given the link between progression to cardiovascular disease and modifiable lifestyle factors, early support for patients to manage their conditions through non-pharmaceutical interventions by establishing lifestyle modification as first-line treatment is crucial."],["dc.identifier.doi","10.1177/01410768221077381"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/106062"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-530"],["dc.relation.eissn","1758-1095"],["dc.relation.issn","0141-0768"],["dc.rights.uri","http://journals.sagepub.com/page/policies/text-and-data-mining-license"],["dc.title","Use of lifestyle interventions in primary care for individuals with newly diagnosed hypertension, hyperlipidaemia or obesity: a retrospective cohort study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","363"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","JAMA Internal Medicine"],["dc.bibliographiccitation.volume","178"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Manne-Goehler, Jennifer"],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Davies, Justine I."],["dc.contributor.author","Awasthi, Ashish"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Jaacks, Lindsay M."],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Atun, Rifat"],["dc.date.accessioned","2020-12-10T14:07:32Z"],["dc.date.available","2020-12-10T14:07:32Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1001/jamainternmed.2017.8094"],["dc.identifier.issn","2168-6106"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/70227"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Diabetes and Hypertension in India"],["dc.title.alternative","A Nationally Representative Study of 1.3 Million Adults"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1685"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","The Lancet Global Health"],["dc.bibliographiccitation.lastpage","e1694"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Didzun, Oliver"],["dc.contributor.author","De Neve, Jan-Walter"],["dc.contributor.author","Awasthi, Ashish"],["dc.contributor.author","Dubey, Manisha"],["dc.contributor.author","Theilmann, Michaela"],["dc.contributor.author","Bärnighausen, Till"],["dc.contributor.author","Vollmer, Sebastian"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.date.accessioned","2020-12-10T15:22:07Z"],["dc.date.available","2020-12-10T15:22:07Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/S2214-109X(19)30440-1"],["dc.identifier.issn","2214-109X"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16894"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73279"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Anaemia among men in India: a nationally representative cross-sectional study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Public Health Nutrition"],["dc.bibliographiccitation.lastpage","29"],["dc.contributor.author","Rai, Rajesh Kumar"],["dc.contributor.author","De Neve, Jan-Walter"],["dc.contributor.author","Geldsetzer, Pascal"],["dc.contributor.author","Vollmer, Sebastian"],["dc.date.accessioned","2021-12-01T09:22:58Z"],["dc.date.available","2021-12-01T09:22:58Z"],["dc.date.issued","2021"],["dc.description.abstract","Abstract Objective: This study assessed intake of iron-and-folic-acid (IFA) tablet/syrup (grouped into none, <100 days of IFA consumption or <100 IFA, and ≥100 days of IFA consumption or ≥100 IFA) among prospective mothers and its association with various stages of low-birthweight (ELBW: extremely low-birthweight, VLBW: very low-birthweight, and LBW: low-birthweight) and neonatal mortality (death during day 0-1, 2-6, 7-27, and 0-27) in India. Design: The cross-sectional, nationally representative, 2015-2016 National Family Health Survey (NFHS-4) data were used. Weighted descriptive analysis, and multiple binary logistic regression modelling were used. Setting: NFHS-4 covered 640 districts from 37 states/ union territories of India. Participants: A total of 120,374 and 143,675 index children aged 0-59 months were included to analyse LBW and neonatal mortality, respectively. Results: Overall, 30.7% mothers consumed ≥100 IFA in 2015-2016, and this estimate ranged from 0.0% in Zunheboto district of Nagaland state to 89.5% in Mahe district of Puducherry of India. Multiple regression analysis revealed that children of mothers who consumed ≥100 IFA had lower odds of ELBW, VLBW, LBW, and neonatal mortality during day 0-1, as compared to mothers who did not buy/receive any IFA. Consumption of IFA (<100 IFA and ≥100 IFA) had protective association with neonatal death during day 7-27, and 0-27. Consumption of IFA was not associated with neonatal death during day 2-6. Conclusions: While ≥100 IFA consumption during pregnancy was found to be associated with preventing select types of LBW and neonatal mortality, a large variation in coverage of ≥100 IFA consumption across 640 districts is concerning."],["dc.description.abstract","Abstract Objective: This study assessed intake of iron-and-folic-acid (IFA) tablet/syrup (grouped into none, <100 days of IFA consumption or <100 IFA, and ≥100 days of IFA consumption or ≥100 IFA) among prospective mothers and its association with various stages of low-birthweight (ELBW: extremely low-birthweight, VLBW: very low-birthweight, and LBW: low-birthweight) and neonatal mortality (death during day 0-1, 2-6, 7-27, and 0-27) in India. Design: The cross-sectional, nationally representative, 2015-2016 National Family Health Survey (NFHS-4) data were used. Weighted descriptive analysis, and multiple binary logistic regression modelling were used. Setting: NFHS-4 covered 640 districts from 37 states/ union territories of India. Participants: A total of 120,374 and 143,675 index children aged 0-59 months were included to analyse LBW and neonatal mortality, respectively. Results: Overall, 30.7% mothers consumed ≥100 IFA in 2015-2016, and this estimate ranged from 0.0% in Zunheboto district of Nagaland state to 89.5% in Mahe district of Puducherry of India. Multiple regression analysis revealed that children of mothers who consumed ≥100 IFA had lower odds of ELBW, VLBW, LBW, and neonatal mortality during day 0-1, as compared to mothers who did not buy/receive any IFA. Consumption of IFA (<100 IFA and ≥100 IFA) had protective association with neonatal death during day 7-27, and 0-27. Consumption of IFA was not associated with neonatal death during day 2-6. Conclusions: While ≥100 IFA consumption during pregnancy was found to be associated with preventing select types of LBW and neonatal mortality, a large variation in coverage of ≥100 IFA consumption across 640 districts is concerning."],["dc.identifier.doi","10.1017/S1368980021004572"],["dc.identifier.pii","S1368980021004572"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94528"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","1475-2727"],["dc.relation.issn","1368-9800"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://www.cambridge.org/core/terms"],["dc.title","Maternal Iron-and-Folic-Acid Supplementation and its Association with Low-birthweight and Neonatal Mortality in India"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]