Federal Block Grants and Public Health: A Call for Physician Partnership and Leadership

Lyznicki, James M.; Altman, Roy D.; Davis, Ronald M.; Howe, John P.; Karlan, Mitchell S.; Bezman, Rebecca J.; Genel, Myron; Numann, Patricia A.; Riggs, Joseph A.; Skelton, W. Douglas; Slanetz, Priscilla J.; Williams, Michael A.; Young, Donald; Allen, James; Rinaldi, Robert C.

doi:10.1016/s0749-3797(18)30150-8

Cited by 3 publications

(6 citation statements)

References 7 publications

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“…In describing the basic model of care in the field some years ago, Lyznicki et al (2001) asserted, "A combined intervention consisting of a low-calorie diet, increased physical activity and behavior therapy is the most effective therapy for weight loss and maintenance" (p.2191-2192). However, these same authors quickly added, "Ongoing treatment then focuses on altering or sustaining lifestyle behaviors to produce further weight loss, maintaining the desired weight and, ultimately, avoiding additional weight gain" (p. 2192).…”

Section: Emerging Models Of Carementioning

confidence: 99%

“…A review of empirical studies of weight loss programs, affirms the personal experiences of many of those who have struggled to control weight on their own. Many programs can boast of producing at least modest weight loss in the short run, however, such gains are exceedingly difficult to maintain (Beleigoli et al, 2019;Lyznicki et al, 2001;MacLean et al, 2015: Perri et al, 1993Teixeira et al, 2015). Some factors that portend more positive outcomes, such as higher levels of intrinsic motivation, selfefficacy, and self-regulation skills, are relevant to many interventions geared toward behavior change.…”

Section: Emerging Models Of Carementioning

confidence: 99%

“…Certainly, many programs exist to help individuals lose weight, and maintain their goals once met. Yet, 4 on average, many such interventions appear to be less effective than desired (Beleigoli et al, 2019;Lyznicki et al, 2001;MacLean et al, 2015;Montesi et al, 2016;Perri et al, 1993). This is unfortunate, because it reported that even small changes in weight can lead to significant improvement in overall health (Shibuya et al, 2018).…”

mentioning

confidence: 99%

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Obesity as a chronic care challenge: new opportunities for social work practice

Sullivan

Kincaid

2020

Social Work in Health Care

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Section: Emerging Models Of Carementioning

confidence: 99%

Section: Emerging Models Of Carementioning

confidence: 99%

mentioning

confidence: 99%

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Obesity as a chronic care challenge: new opportunities for social work practice

Sullivan

Kincaid

2020

Social Work in Health Care

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“…Böl ge sel fark lı lık la rın ya nın -da obe zi te ile yaş, eği tim du ru mu, me de ni du rum, si ga ra ve al kol kul la nı mı, mes lek ve eg zer siz arasın da ki iliş ki bir çok ça lış ma da bil di ril miş tir. [13][14][15] Obe zi te nin kar di yo vas kü ler has ta lık lar, hi pertan si yon, in sü lin di ren ci, di a be tes mel li tus, ba zı kan ser ler, so lu num bo zuk luk la rı ve be ra be rin de ki psi ko lo jik prob lem ler le be ra ber art mış mor ta li te ile iliş ki si bi lin mek te dir.…”

Section: Obezite Prevalansı Ve Metabolik Risk Faktörleri Ile İlişkisiunclassified

Obesity Prevalence and Its Association with Metabolic Risk Factors: Tokat Province Prevalence Study

Kutlutürk¹,

Öztürk²,

Yıldırım³

et al. 2011

Turkiye Klinikleri J Med Sci

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Ö ÖZ ZE ET T A Am ma aç ç: : Obe zi te, cid di sos yal ve psi ko lo jik et ki le riy le tüm yaş ve sos yo-eko no mik grup la rı il gi len di ren komp leks bir has ta lık tır. Gün cel ça lış ma lar, Türk top lu mun da obe zi te pre ve lan sı nın art mak ta ol du ğu nu gös -ter mek te dir. Ça lış ma mız da, To kat ili kent sel ve kır sal alan la rın da obe zi te pre va lan sı nı ve me ta bo lik risk faktör le riy le iliş ki si ni be lir le mek amaç lan mış tır. G Ge e r re eç ç v ve e Y Yö ön n t te em m l le er r: : Bu ça lış ma, il, il çe mer kez le ri ve se çi len köy ler de ya pıl mış tır. To kat ilin de ya şa yan 18 yaş ve üze rin de ki 530000 ki şi yi ifa de ede cek şekil de se çi len 1095 ki şi, ça lış ma ya da hil edil di. Ba ğım sız de ğiş ken ola rak; yaş, me de ni du rum, ka dın lar da oral kon tra sep tif kul la nı mı, sos yo-eko no mik du rum, si ga ra kul la nı mı ve al kol kul la nı mı kay de dil di. Grup I nor mal (be den kit le indek si: BKİ ≤ 24.9 kg/m 2 ) olan lar, grup II ki lo lu (BKİ 25.0-29.9 kg/m 2 ) ve grup III ise obez (BKİ ≥ 30 kg/m 2 ) olan ki şi ler den oluş tu rul du. B Bu ul l g gu u l la ar r: : Ça lış ma ya alı nan 1.095 ki şi nin 541'i er kek, 554'ü ka dın dı ve yaş or ta la ma sı 41.4 ± 17 yıl dı. BKİ' ye gö re %40 (n= 438) nor mal ki lo lu, %36.6 (n= 401) faz la ki lo lu, %23.4 (n =256) obez di. Ka dın lar da ki obe zi te pre va lan sı %33.6 (n= 186), er kek ler de %12.9 (n= 70) ola rak tes pit edil di. Bel çev -re si ne gö re san tral obe zi te ora nı ka dın lar da %56.2 (n= 309), er kek ler de %15.1 (n= 81) ve tüm ka tı lım cı lar da %35.6 (n= 390)'dı. Yaş grup la rı na gö re BKİ en yük sek 40-49 yaş gru bun day dı. Kır sal ve kent sel böl ge ler de ya şa yan ki şi ler ara sın da BKİ far kı göz len me di. Glu koz, to tal ko les te rol, trig li se rid, or ta la ma sis to lik ve di yasto lik kan ba sın cı de ğer le ri obez ve faz la ki lo lu has ta lar da an lam lı ola rak yük sek ti. S So o n nu uç ç: : Bu ça lış ma To kat ili eriş kin le rin de obe zi te pre va lan sı nın yük sek ol du ğu nu, BKİ ile me ta bo lik risk fak tör le ri (hi per tan si yon, aç -lık plaz ma glu ko zu ve hi per li pi de mi), ara sın da po zi tif ko re las yon bu lun du ğu nu ve bel çev re si ne gö re san tral obe zi te ora nın çok da ha yük sek ol du ğu nu gös ter miş tir. Bu ve ri ler, ül ke miz de faz la ki lo lu luk ve obe zi te sık -lı ğı nın art mak ta ol du ğu nu ve obe zi tey le iliş ki li me ta bo lik risk fak tör le ri nin mul ti di sip li ner yak la şım la de ğer -len di ril me si ge rek li li ği ni or ta ya koy mak ta dır.A An na ah h t ta ar r K Ke e l li i m me e l le er r: : Şiş man lık; ki lo lu; pre va lans; vü cut kit le in dek si; bel çev re si A AB BS S T TR RA AC CT T O Ob b j je ec c t ti i v ve e: : Obe sity is a comp lex di sor der in vol ving all ages and so ci o e co no mic gro ups with its se ri o us so ci al and psycho lo gi cal ef fects. Cur rent stu di es show that obe sity pre va len ce is in cre a sing in Tur kish po pu la ti on. Our aim in this study was to de ter mi ne...

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“…Physicians and other providers need not only treat the associated diseases but are required to shift their focus to obesity assessment, prevention, and treatment [5,6]. Several authors have noted the concern about major gaps that exist between research and practice, as well as some gaps in perception and emphasize the need to bridge those gaps [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Obesity Prevalence and Potential Comorbidities among Rural Primary Care Patients in East Texas

Ndetan

et al. 2020

J Health Care and Research

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Objective: This study reports the prevalence of obesity among patients in a primary care clinic at a university teaching hospital in rural East Texas and explores potential disparities and comorbidities. Method: The study was a retrospective review of a deidentified, non-relinkable copy of the electronic health records for 6,955 patients who visited the Family Medicine Clinic of the University of Texas Health Science Center at Tyler North Campus between August 31, 2017, and August 1, 2018. Results: The prevalence of obesity was 43.2% with an increased likelihood of being obese among females compared to males (OR=1.49, 95%CI=1.35, 1.64), among blacks compared to whites (OR=1.24, 95%CI=1.11, 1.38), among patients 40-65 years old compared to those younger than 18 years (OR=8.83, 95%CI=7.31, 10.68) and a reduced likelihood among patients with public insurance/grants (OR=0.88, 95%CI=0.79, 0.98) and self-pay (OR=0.81, 95%CI=0.71, 0.93) compared to those with private insurance. Those who were obese were also more likely to report having hypertension (OR=2.59, 95%CI=2.35, 2.87), and diabetes (OR=3.26, 95%CI=2.85, 3.73). Conclusion: There is a high prevalence of obesity among rural primary care patients in East Texas especially among the female, minority black and 40-65 years age groups as well as among patients with diabetes and hypertension. With this facility being a teaching hospital, these findings suggest the need for increased emphasis in the training of medical Residents on the screening and management of obesity, metabolic syndrome, and associated comorbidities in these groups, with special focus on the root cause.

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Federal Block Grants and Public Health: A Call for Physician Partnership and Leadership

Cited by 3 publications

References 7 publications

Obesity as a chronic care challenge: new opportunities for social work practice

Obesity as a chronic care challenge: new opportunities for social work practice

Obesity Prevalence and Its Association with Metabolic Risk Factors: Tokat Province Prevalence Study

Obesity Prevalence and Potential Comorbidities among Rural Primary Care Patients in East Texas

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