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Eric J Brunner - One of the best experts on this subject based on the ideXlab platform.

  • estimated prevalence and predictors of vitamin c deficiency within uk s low Income Population
    Journal of Public Health, 2008
    Co-Authors: Annhild Mosdøl, B.o.b. Erens, Eric J Brunner
    Abstract:

    Background Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003‐05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement. Methods Adults aged 19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response. Results An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (,11 mmol l 21 ), and a further fifth of the Population had levels in the depleted range (11‐28 mmol l 21 ). Being a man, reporting low-dietary vitamin C intake, not taking vitamin supplements and smoking were predictors of plasma vitamin C levels 28 mmol l 21 in mutually adjusted logistic regression models. Conclusion Health professionals need to be aware that poor vitamin C status is relatively common among adults living on a low Income.

  • Estimated prevalence and predictors of vitamin C deficiency within UK's low-Income Population
    J PUBLIC HEALTH-UK, 2008
    Co-Authors: Eric J Brunner
    Abstract:

    Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003-05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement.Adults aged >= 19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response.An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (< 11 mu mol l(-1)), and a further fifth of the Population had levels in the depleted range (11-28 mu mol l(-1)). Being a man, reporting low-dietary vitamin C intake, not taking vitamin supplements and smoking were predictors of plasma vitamin C levels

  • Estimated prevalence and predictors of vitamin C deficiency within UK's low-Income Population
    Journal of Public Health, 2008
    Co-Authors: Annhild Mosdøl, B.o.b. Erens, Eric J Brunner
    Abstract:

    BACKGROUND: Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003-05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement.\n\nMETHODS: Adults aged >or=19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response.\n\nRESULTS: An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (

Annhild Mosdøl - One of the best experts on this subject based on the ideXlab platform.

  • estimated prevalence and predictors of vitamin c deficiency within uk s low Income Population
    Journal of Public Health, 2008
    Co-Authors: Annhild Mosdøl, B.o.b. Erens, Eric J Brunner
    Abstract:

    Background Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003‐05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement. Methods Adults aged 19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response. Results An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (,11 mmol l 21 ), and a further fifth of the Population had levels in the depleted range (11‐28 mmol l 21 ). Being a man, reporting low-dietary vitamin C intake, not taking vitamin supplements and smoking were predictors of plasma vitamin C levels 28 mmol l 21 in mutually adjusted logistic regression models. Conclusion Health professionals need to be aware that poor vitamin C status is relatively common among adults living on a low Income.

  • Estimated prevalence and predictors of vitamin C deficiency within UK's low-Income Population
    Journal of Public Health, 2008
    Co-Authors: Annhild Mosdøl, B.o.b. Erens, Eric J Brunner
    Abstract:

    BACKGROUND: Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003-05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement.\n\nMETHODS: Adults aged >or=19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response.\n\nRESULTS: An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (

B.o.b. Erens - One of the best experts on this subject based on the ideXlab platform.

  • estimated prevalence and predictors of vitamin c deficiency within uk s low Income Population
    Journal of Public Health, 2008
    Co-Authors: Annhild Mosdøl, B.o.b. Erens, Eric J Brunner
    Abstract:

    Background Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003‐05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement. Methods Adults aged 19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response. Results An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (,11 mmol l 21 ), and a further fifth of the Population had levels in the depleted range (11‐28 mmol l 21 ). Being a man, reporting low-dietary vitamin C intake, not taking vitamin supplements and smoking were predictors of plasma vitamin C levels 28 mmol l 21 in mutually adjusted logistic regression models. Conclusion Health professionals need to be aware that poor vitamin C status is relatively common among adults living on a low Income.

  • Estimated prevalence and predictors of vitamin C deficiency within UK's low-Income Population
    Journal of Public Health, 2008
    Co-Authors: Annhild Mosdøl, B.o.b. Erens, Eric J Brunner
    Abstract:

    BACKGROUND: Recent case reports of scurvy indicate that vitamin C deficiency may be more prevalent that generally assumed. The Low Income Diet and Nutrition Survey (2003-05) of a representative sample of the low-Income/materially deprived UK Population included a plasma vitamin C measurement.\n\nMETHODS: Adults aged >or=19 years from all countries/regions of UK were screened to identify low-Income/materially deprived households. A valid plasma vitamin C measurement was made in 433 men and 876 women. The results were weighted for sampling probability and non-response.\n\nRESULTS: An estimated 25% of men and 16% of women in the low-Income/materially deprived Population had plasma vitamin C concentrations indicative of deficiency (

Natalie Levy - One of the best experts on this subject based on the ideXlab platform.

  • the mobile insulin titration intervention miti for insulin adjustment in an urban low Income Population randomized controlled trial
    Journal of Medical Internet Research, 2015
    Co-Authors: Natalie Levy, Victoria Moynihan, Annielyn Nilo, Karyn Singer, Lidia S Bernik, Maryann Etiebet, Yixin Fang, Sundar Natarajan
    Abstract:

    Background: Diabetes patients are usually started on a low dose of insulin and their dose is adjusted or “titrated” according to their blood glucose levels. Insulin titration administered through face-to-face visits with a clinician can be time consuming and logistically burdensome for patients, especially those of low socioeconomic status (SES). Given the wide use of mobile phones among this Population, there is the potential to use short message service (SMS) text messaging and phone calls to perform insulin titration remotely. Objective: The goals of this pilot study were to (1) evaluate if our Mobile Insulin Titration Intervention (MITI) intervention using text messaging and phone calls was effective in helping patients reach their optimal insulin glargine dose within 12 weeks, (2) assess the feasibility of the intervention within our clinic setting and patient Population, (3) collect data on the cost savings associated with the intervention, and (4) measure patient satisfaction with the intervention. Methods: This was a pilot study evaluating an intervention for patients requiring insulin glargine titration in the outpatient medical clinic of Bellevue Hospital Center in New York City. Patients in the intervention arm received weekday SMS text messages from a health management platform requesting their fasting blood glucose values. The clinic’s diabetes nurse educator monitored the texted responses on the platform website each weekday for alarm values. Once a week, the nurse reviewed the glucose values, consulted the MITI titration algorithm, and called patients to adjust their insulin dose. Patients in the usual care arm continued to receive their standard clinic care for insulin titration. The primary outcome was whether a patient reached his/her optimal insulin glargine dose within 12 weeks. Results: A total of 61 patients consented and were randomized into the study. A significantly greater proportion of patients in the intervention arm reached their optimal insulin glargine dose than patients in the usual care arm (88%, 29/33 vs 37%, 10/27; P <.001). Patients responded to 84.3% (420/498) of the SMS text messages requesting their blood glucose values. The nurse reached patients within 2 attempts or by voicemail 91% of the time (90/99 assigned calls). When patients traveled to the clinic, they spent a median of 45 minutes (IQR 30-60) on travel and 39 minutes (IQR 30-64) waiting prior to appointments. A total of 61% (37/61) of patients had appointment copays. After participating in the study, patients in the intervention arm reported higher treatment satisfaction than those in the usual care arm. Conclusions: MITI is an effective way to help low-SES patients reach their optimal insulin glargine dose using basic SMS text messaging and phone calls. The intervention was feasible and patients were highly satisfied with their treatment. The intervention was cost saving in terms of time for patients, who were able to have their insulin titrated without multiple clinic appointments. Similar interventions should be explored to improve care for low-SES patients managing chronic disease. Trial Registration: Clinicaltrials.gov NCT01879579; https://clinicaltrials.gov/ct2/show/NCT01879579 (Archived by WebCite at http://www.webcitation.org/6YZik33L3). [J Med Internet Res 2015;17(7):e180]

  • The Mobile Insulin Titration Intervention (MITI) for Insulin Glargine Titration in an Urban, Low-Income Population: Randomized Controlled Trial Protocol
    JMIR Research Protocols, 2015
    Co-Authors: Natalie Levy
    Abstract:

    The authors of “The Mobile Insulin Titration Intervention (MITI) for Insulin Glargine Titration in an Urban, Low-Income Population: Randomized Controlled Trial Protocol” are adding their insulin glargine titration algorithm to this protocol paper. The authors feel that readers may be interested in seeing the algorithm used in the trial. [JMIR Res Protoc 2015;4(4):e138]

Sundar Natarajan - One of the best experts on this subject based on the ideXlab platform.

  • the mobile insulin titration intervention miti for insulin adjustment in an urban low Income Population randomized controlled trial
    Journal of Medical Internet Research, 2015
    Co-Authors: Natalie Levy, Victoria Moynihan, Annielyn Nilo, Karyn Singer, Lidia S Bernik, Maryann Etiebet, Yixin Fang, Sundar Natarajan
    Abstract:

    Background: Diabetes patients are usually started on a low dose of insulin and their dose is adjusted or “titrated” according to their blood glucose levels. Insulin titration administered through face-to-face visits with a clinician can be time consuming and logistically burdensome for patients, especially those of low socioeconomic status (SES). Given the wide use of mobile phones among this Population, there is the potential to use short message service (SMS) text messaging and phone calls to perform insulin titration remotely. Objective: The goals of this pilot study were to (1) evaluate if our Mobile Insulin Titration Intervention (MITI) intervention using text messaging and phone calls was effective in helping patients reach their optimal insulin glargine dose within 12 weeks, (2) assess the feasibility of the intervention within our clinic setting and patient Population, (3) collect data on the cost savings associated with the intervention, and (4) measure patient satisfaction with the intervention. Methods: This was a pilot study evaluating an intervention for patients requiring insulin glargine titration in the outpatient medical clinic of Bellevue Hospital Center in New York City. Patients in the intervention arm received weekday SMS text messages from a health management platform requesting their fasting blood glucose values. The clinic’s diabetes nurse educator monitored the texted responses on the platform website each weekday for alarm values. Once a week, the nurse reviewed the glucose values, consulted the MITI titration algorithm, and called patients to adjust their insulin dose. Patients in the usual care arm continued to receive their standard clinic care for insulin titration. The primary outcome was whether a patient reached his/her optimal insulin glargine dose within 12 weeks. Results: A total of 61 patients consented and were randomized into the study. A significantly greater proportion of patients in the intervention arm reached their optimal insulin glargine dose than patients in the usual care arm (88%, 29/33 vs 37%, 10/27; P <.001). Patients responded to 84.3% (420/498) of the SMS text messages requesting their blood glucose values. The nurse reached patients within 2 attempts or by voicemail 91% of the time (90/99 assigned calls). When patients traveled to the clinic, they spent a median of 45 minutes (IQR 30-60) on travel and 39 minutes (IQR 30-64) waiting prior to appointments. A total of 61% (37/61) of patients had appointment copays. After participating in the study, patients in the intervention arm reported higher treatment satisfaction than those in the usual care arm. Conclusions: MITI is an effective way to help low-SES patients reach their optimal insulin glargine dose using basic SMS text messaging and phone calls. The intervention was feasible and patients were highly satisfied with their treatment. The intervention was cost saving in terms of time for patients, who were able to have their insulin titrated without multiple clinic appointments. Similar interventions should be explored to improve care for low-SES patients managing chronic disease. Trial Registration: Clinicaltrials.gov NCT01879579; https://clinicaltrials.gov/ct2/show/NCT01879579 (Archived by WebCite at http://www.webcitation.org/6YZik33L3). [J Med Internet Res 2015;17(7):e180]