• No results found

APPENDIX  IV:   Directed Acyclic Graph for Study 2 1995

BIBLIOGRAPHY

 

1. Pasala   SK,   Rao   AA,   Sridhar   GR.   Built   environment   and   diabetes.   2010   International  Journal  of  Diabetes  in  Developing  Countries  30(2):63–68.  

2. Sallis  JF,  Floyd  MF,  Rodriguez  DA,  et  al.    2012.  Role  of  Built  Environments  in   Physical   Activity,   Obesity,   and   Cardiovascular   Disease.  Circulation   125:729– 37.  

3. Weich   S,   Blanchard   M,   Prince   M,  et   al.   2002.   Mental   health   and   the   built   environment:  cross  sectional  survey  of  individual  and  contextual  risk  factors   for  depression.  British  Journal  of  Psychiatry  180:428–433.  

4. Casagrande  SS,  Gittelsohn  J,  Zonderman  AB,  et  al.  Association  of  walkability   with   obesity   in   Baltimore   City,   Maryland.  American   Journal   of   Public   Health   2011  101(S1):S318–324.  

5. Rosenberg   L,   Adams-­‐‑Campbell   LL,   Palmer   JR.   1995.   The   Black   Women’s   Health  Study:  A  follow-­‐‑up  study  for  causes  and  preventions  of  illness.  Journal   of  the  American  Medical  Women’s  Association  50:56–58.  

6. Coogan  PF,  White  LF,  Adler  TJ,  et  al.  Prospective  study  of  urban  form  and   physical   activity   in   the   Black   Women’s   Health   Study.  American   Journal   of   Epidemiology  2009;  170(9):1105–17.  

7. Coogan  PF,  White  LF,  Evans  SR,  et  al.  Longitudinal  assessment  of  urban  form   and  weight  gain  in  African-­‐‑American  women.  American  Journal  of  Preventive   Medicine  2011;40(4):411–418.  

8. Wise   LA,   Palmer   JR,   Spiegelman   D,  et   al.   2005.   Influence   of   body   size   and   body   fat   distribution   on   risk   of   uterine   leiomyomata   in   U.S.   black   women.   Epidemiology  16(3):346–54.    

9. Carter-­‐‑Nolan  PL,  Adams-­‐‑Campbell  LL,  Makambi  K,  et  al.  2006.  Validation  of   physical   activity   instruments:   Black   Women'ʹs   Health   Study.   Ethnicity   &   Disease  16(4):943–7.  

10.Block   G,   Hartman   AM,   Naughton   D.   A   reduced   dietary   questionnaire:   development  and  validation.  Epidemiology  1990;1(1):58–64.  

11.Centers   for   Disease   Control   and   Prevention.   National   diabetes   fact   sheet:   national  estimates  and  general  information  on  diabetes  and  prediabetes  in  the   United   States,   2011.   Atlanta,   GA:   U.S.   Department   of   Health   and   Human   Services,  Centers  for  Disease  Control  and  Prevention,  2011.  

12.Centers   for   Disease   Control   and   Prevention.   Diabetes   Report   Card   2012:   National  and  state  profile  of  diabetes  and  its  complications.  Atlanta,  GA:    U.S.   Department  of  Health  and  Human  Services,  Center  for  Disease  Control  and   Prevention,  2012.  

13.Frank   LD,   Andresen   MA,   Schmid   TL.   2004.   Obesity   relationships   with   community  design,  physical  activity,  and  time  spent  in  cars.  American  Journal   of  Preventive  Medicine  27(2):87–96.  

14.Ewing  R,  Schmid  T,  Killingsworth  R  et  al.  2003.  Relationship  between  urban   sprawl   and   physical   activity,   obesity,   and   morbidity.    American   Journal   of   Health  Promotion  18(1):47–57.  

15.Carlson  C,  Aytur  S,  Gardner  K,  et  al.    2012  Complexity  in  Built  Environment,   Health,  and  Destination  Walking:  A  Neighborhood-­‐‑Scale  Analysis.  Journal  of   Urban  Health  89(2):270–84.  

16.Berrigan   D,   Pickle   LW   and   Dill   J.   2010.   Associations   between   street   connectivity   and   active   transportation.     International   Journal   of   Health   Geographics  9:20.  The  electronic  version  of  this  article  is  the  complete  one  and   can  be  found  online  at:  http://www.ij-­‐‑healthgeographics.com/content/9/1/20.   17.Stewart   JE,   Battersby   SE,   Lopez-­‐‑De   Fede   A,   et   al.   2011.   Diabetes   and   the  

socioeconomic  and  built  environment:  geovisualization  of  disease  prevalence   and  potential  contextual  associations  using  ring  maps.  International  Journal  of   Health  Geographics  10:18.  doi:  10.1186/1476-­‐‑072X-­‐‑10-­‐‑18.  

18.Rothman   KJ,   Greenland   S   and   Lash   TL.   2008.   Modern   Epidemiology,   3rd   edition.  Philadelphia,  PA:  Lippincott,  Williams  and  Wilkins.  

19.Greenland   S.   2003.   Quantifying   biases   in   causal   models:   Classical   confounding  vs.  collider-­‐‑stratification  bias.  Epidemiology  14:300–306.  

20.Flegal  KM,  Keyl  PM,  Nieto  FJ.  1991.  Differential  misclassification  arising  from   nondifferential   errors   in   exposure   measurement.   American   Journal   of   Epidemiology  134:1233–1244.  

21.Cowie   CC,   Rust   KF,   Ford   ES,  et   al.   2009.   A   full   accounting   of   diabetes   and   prediabetes   in   the   U.S.   population,   1988–1994   and   2005–2006.  Diabetes   Care;   32(2):287–94.  

22.Margolis  KL,  Qi  L,  Brzyski  R  et  al.  2008.  Validity  of  diabetes  self-­‐‑reports  in  the   Women’s   Health   Initiative:   comparison   with   medication   inventories   and   fasting  glucose  measurements.  Clinical  Trials  5(3):240–47.  

23.Holman   RR.   1998.   Assessing   the   potential   for   α-­‐‑glucosidase   inhibitors   in   prediabetic  states.  Diabetes  Research  and  Clinical  Practice.  40(Suppl):S21–S25.   24.Kristensen  P.  1992.  Bias  from  nondifferential  but  dependent  misclassification  

of  exposure  and  outcome.  Epidemiology;  3:210–215.  

25.http://www.mayoclinic.com/health/clinical-­‐‑depression/AN01057   Accessed   September  1,  2012.  

26.Kessler   RC,   Chiu   WT,   Demler   O,   Walters   EE.   Prevalence,   severity,   and   comorbidity  of  twelve-­‐‑month  DSM-­‐‑IV  disorders  in  the  National  Comorbidity   Survey  Replication  (NCS-­‐‑R).  Archives  of  General  Psychiatry,  2005  62(6):617–27.   27.Henderson   C,   Diez   Roux   AV,   Jacobs   DR,   et   al.     2005.   Neighbourhood  

characteristics,   individual   level   socioeconomic   factors,   and   depressive   symptoms   in   young   adults:   the   CARDIA   study.  Journal   of   Epidemiology   and   Community  Health  59:322–28.  

28.http://www.mayoclinic.com/health/depression/DS00175/DSECTION=causes   Accessed  September  1,  2012.  

29.Wise  LA,  Adams-­‐‑Campbell  LL,  Palmer  JR,  et  al.  2006.  Leisure  time  physical   activity   in   relation   to   depressive   symptoms   in   the   Black   Women’s   Health   Study.  Annals  of  Behavioral  Medicine  32(1):68–76.  

30.Miles  R,  Coutts  C  and  Mohamadi  A.  2011.  Neighborhood  urban  form,  social   environment,  and  depression.  Journal  of  Urban  Health  89(1):  1-­‐‑18.  

31.Weich   S,   Blanchard   M,   Prince   M,   et   al.   2002.   Mental   health   and   the   built   environment:  cross  sectional  survey  of  individual  and  contextual  risk  factors   for  depression.  British  Journal  of  Psychiatry  180:428–433.  

32.Galea   S,   Ahern   J,   Rudenstine   S,   et   al.   2005.   Urban   built   environment   and   depression:  a  multilevel  analysis.  Journal  of  Epidemiology  and  Community  Health   59:822–827.  

33.Radloff  LS.  1977.  The  CES-­‐‑D  scale:  A  self-­‐‑report  depression  scale  for  research   in  the  general  population.  Applied  Psychological  Measurement  1(2):85–201.   34.Nguyen   HT,   Kitner-­‐‑Triolo   M,   Evans   MK,  et   al.   2004.   Factorial   invariance   of  

the  CES-­‐‑D  in  low  socioeconomic  status  African  Americans  compared  with  a   nationally  representative  sample.  Psychiatry  Research  126(2):177–187.  

35.Callahan  CM  and  Wolinsky  FD.  1994.  The  effects  of  gender  and  race  on  the   measurement  properties  of  the  CES-­‐‑D  in  older  adults.  Medical  Care  32(4):341– 356.  

36.Harlow   BL,   Cohen   LS,   Otto   MW,  et   al.   1999.   Prevalence   and   predictors   of   depressive  symptoms  in  older  premenopausal  women:  The  Harvard  Study  of   Moods  and  Cycles.  Archives  of  General  Psychiatry  56(5):418–24.  

37.Craig  TJ,  van  Natta  PA.  1976.  Recognition  of  depressed  effect  in  hospitalized   psychiatric   patients:   staff   and   patient   perceptions.   Diseases   of   the   Nervous   System  37:561–66.  

38.Casagrande  SS,  Whitt-­‐‑Glover  MC,  Lancaster  KJ  et  al.  2009.  Built  environment   and  health  behaviors  among  African  Americans.  American  Journal  of  Preventive   Medicine  36(2):174–81.  

39.Walk  Score  Methodology.  

http://www.walkscore.com/professional/methodology.php.  Accessed   November  25,  2011.  

   

CURRICULUM  VITAE    

Personal  Information  

Matthew  Darin  Berger  (b.  1966)   43  Addington  Road,  #1  

Brookline,  MA    02445  

[email protected]    

Education  

Yale  University       B.A.,  Political  Science     1984–88   Harvard  University       M.A.  (ABD),  Government     1989–95   Boston  University       M.A.,  Biostatistics       2005–07   Boston  University       Ph.D.,  Epidemiology       2009–15    

Salaried  Employment  

Joslin  Diabetes  Center     Outcomes  Analyst       2011–   Massachusetts  Behavioral     Quality  Researcher       2007–10        Health  Partnership  

Various         Data  Analytic  Consultant     2002–08  

Family  Planning  Council     Research  Project  Manager     2002–05             Senior  Research  Associate     2001–02   The  MEDSTAT  Group     Senior  Analyst       2000–01   North  Charles  Research  and   Analyst         1998–99        Planning  Group  

Health  and  Addictions       Research  Associate       1996–98        Research,   Inc.  

 

Publications  

Kreiner   P,   Soldz   S,   Berger   M,   Elliott   E,   Reynes   J,   Williams   C   and   Rodriguez-­‐‑ Howard   M.   2001.   Social   Indicator-­‐‑Based   Measures   of   Substance   Abuse   Consequences,   Risk,   and   Protection   at   the   Town   Level,   Journal   of   Primary   Prevention,  21:3,  339:65.  

 

Whittaker   P,   Berger   M,   Armstrong   KA,   Felice   TL   and   Adams   J.   2007.   Characteristics   Associated   with   Emergency   Contraception   Use   by   Family   Planning   Patients:   A   Prospective   Cohort   Study   Perspectives   on   Sexual   and   Reproductive  Health,  39:3,  158:66.  

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