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[Anonim]. 2006. Sulawesi Utara dalam angka. [dikutip 13 Mei 2009]. Tersedia dari: http://sulut.bps.go.id/sulutdalamangka.php.

[Anonim]. 2006. Gorontalo dalam angka. [dikutip 13 Mei 2009]. Tersedia dari:

http://bankdata.gorontaloprov.go.id/component/option.

[Anonim]. 2006. Profil DKI Jakarta. [dikutip 15 Mei 2009]. Tersedia dari:

http://www.indonesia.go.id.

Adiningrum RD. 2008. Karakteristik kegemukan pada anak sekolah dan remaja di Medan dan Jakarta Selatan [Skripsi]. Bogor: Fakultas Pertanian, Institut Pertanian Bogor.

Aekplakorn W et al. 2007. Trends in obesity and associations with education and urban or rural residence in Thailand. Obesity. 15:3113-3121.

Al-Riyami AA, Afifi MM. 2003. Prevalence and correlates of obesity and central obesity among Omani Adults. Saudi Med J. 24:641-646.

Badan Penelitian dan Pengembangan Kesehatan (Balitbangkes) Depkes. 2008.

Riset Kesehatan Dasar 2007. Jakarta: Balitbangkes Depkes.

Baik I et al. 2000. Adiposity and mortality in men. Am J Epidemiol. 152:264-271.

Barbagallo CM et al. 2001. Prevalence of overweight and obesity in a rural southern Italy population and relationships with total and cardiovascular mortality: the Ventimiglia di Sicilia project. Int J Obes Relat Metab Disord. 25:185-190.

Barbeau P et al. 2007. Ten months of exercise improves general and visceral adiposity, bone, and fitness in Black girls. Obesity. 15:2077-2085.

Besson H et al. 2009. A cross-sectional analysis of physical activity and obesity indicators in European participants of The EPIC-PANACEA study. Int J Obes. 33:497-506.

Bigaard J, Tjønneland A, Thomsen BL, Overvad K, Heitmann BL, Sørensen TIA.

2003. Waist circumference, BMI, smoking, and mortality in middle-aged men and women. Obesity. 11:895–903.

Bobak M, Skodova Z, Marmot M. 2003. Beer and obesity: a cross-sectional study. Eur J Clin Nutr. 57:1250-1253.

Bray GA, Nielsen SJ, Popkin BM. 2004. Consumption of high-fructose corn Syrup in beverages may play a role in the epidemic of obesity. Am J Clin Nutr.

79:537-543.

Canoy D et al. 2005. Cigarette smoking and fat distribution in 21.828 British men and women: a population-based study. Obesity. 13: 1466-1475.

Chang CJ, Wu CH, Yao WJ, Yang YC, Wu JS, Lu FH. 2000. Relationships of age, menopause and central obesity on cardiovascular disease risk factors in Chinese women. Int J Obes Relat Metab Disord. 24:1699-1704 Chen Y, Rennie D, Cormier YF, Dosman J. 2007. Waist circumference is

associated with pulmonary function in normal-weight, overweight, and obese subjects. Am J Clin Nutr. 85:35-39.

Chiolero A, Jacot-Sadowski I, Faeh D, Paccaud F, Cornuz J. 2007. Association of cigarettes smoked daily with obesity in a general adult population.

Obesity. 15:1311-1318.

Chiolero A, Faeh D, Paccaud F, Cornuz J. 2008. Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr.

87:801-809.

Dekkers JC et al. 2004. Development of general and central obesity from childhood into early adulthood in African American and European American males and females with a family history of cardiovascular disease. Am J Clin Nutr. 79:661-668.

Demerath EW et al. 2007. Anatomical patterning of visceral adipose tissue: race, sex, and age variation. Obesity. 15:2984-2993.

de Pablos-Velasco PL, Martinez-Martin FJ, Rodriguez-Perez F. 2002. Prevalence of obesity in a Canarian community. Association with type 2 diabetes mellitus: the Guia study. Eur J Clin Nutr. 56:557-560.

Dorn JM et al. 2003. Alcohol drinking patterns differentially affect central adiposity as measured by abdominal height in women and men. J. Nutr. 133:2655-2662.

Drapeau V et al. 2004. Modifications in food-group consumption are related to long-term body-weight changes. Am J Clin Nutr. 80:29-37.

Drewnowski A. 2007. The real contribution of added sugars and fats to obesity.

Epidemiol Rev. 29:160-171.

Epstein LH, Gordy CC, Raynor HA, Beddome M, Kilanowski CK, Paluch R. 2001.

Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obes Res. 9:171-178.

Erem C et al. 2004. Prevalence of obesity and associated risk factors in a Turkish population (Trabzon City, Turkey). Obesity. 12:1117–1127.

Garaulet M et al. 2001. Endocrine, metabolic and nutritional factors in obesity and their relative significance as studied by factor analysis. Int J Obes.

25:243-251.

Gotera W, Aryana S, Suastika K, Santoso A, Kurwardhani T. 2006. Hubungan antara obesitas sentral dengan adiponektin pada pasien geriatri dengan penyakit jantung koroner. J Peny Dalam. 7:102-107.

Griesemer R. 2008. Index of central obesity as a parameter to evaluate metabolic syndrome for white, black, and hispanic adults in the United States.

[Tesis]. Georgia, Atlanta: Georgia State University.

Guallar-Castillon P et al. 2007. Intake of fried foods is associated with obesity in the cohort of Spanish adults from the European prospective investigation into cancer and nutrition. Am J Clin Nutr. 86:198-205.

Gutierrez-Fisac JL, Lopez E, Banegas JR, Graciani A, Rodriguez-Artalejo F.

2004. Prevalence of overweight and obesity in elderly people in Spain.

Obesity. 12:710-715.

Hasler G et al. 2005. Major depression predicts an increase in long-term body weight variability in young adults. Obesity. 13:1991-1998.

He K et al. 2004. Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women. Int J Obes. 28:

1569-1574.

Huot, Paradis G, Ledoux M. 2004. Factors associated with overweight and obesity in Quebec adults. Int J Obes. 28: 766-774.

Irwin ML et al. Effect of exercise on total and intra-abdominal body fat in postmenopausal women: a randomized controlled trial. JAMA.

289(3):323-330.

Jakicic JM, Otto AD. 2005. Physical activity considerations for the treatment and prevention of obesity. Am J Clin Nutr. 82(suppl):226S-9S.

Janghorbani M et al. 2007. First nationwide survey of prevalence of overweight, underweight, and abdominal obesity in Iranian adults. Obesity. 15:2797-2808.

Kamso S. 2007. Dislipidemia dan obesitas sentral pada lanjut usia di Kota Padang. J Kes Mas Nas. 2:73-77.

Kantachuvessiri A, Sirivichayakul C, KaewKungwal J, Tungtrongchitr R, Lotrakul M. 2005. Factors associated with obesity among workers in a metropolitan waterworks authority. Southeast Asian J Trop Med Public Health. 36:1057-1065.

Katz JR et al. 2000. Central obesity, depression and the hypothalamo- pituitary-adrenal axis in men and postmenopausal women. Int J Obes.24:246-251 Klein S et al. 2007. Waist circumference and cardiometabolic risk: a consensus

statement from Shaping America’s Health: Association for Weight Management and Obesity Prevention; NAASO, the Obesity Society; the American Society for Nutrition; and the American Diabetes Association.

Diabetes Care. 30:1647-1652.

Ko GTC, Tang JSF. 2007. Waist circumference and BMI cut-off based on 10-year cardiovascular risk: evidence for “central pre-obesity”. Obesity. 15:2832-2839.

Koh-Banerjee P et al. 2003. Prospective study of the association of changes in dietary intake, physical activity, alcohol consumption, and smoking with 9-y gain in waist circumference among 16 587 US men. Am J Clin Nutr.

78:719-727.

Krishnan S, Rosenberg L, Djousse L, Cupples LA, Palmer JR. 2007. Overall and central obesity and risk of type 2 diabetes in U.S. black women. Obesity.

15:1860-1866.

Lahmann PH, Lissner L, Gullberg B, Berglund G. 2000. Sociodemographic factors associated with long-term weight gain, current body fatness and central adiposity in Swedish women. Int J Obes Relat Metab Disord.

24:685-694.

Lee CD, Jacobs DR, Schreiner PJ, Iribarren C, Hankinson A. 2007. Abdominal obesity and coronary artery calcification in young adults: The coronary artery risk development in young adults (CARDIA) study. Am J Clin Nutr.

86:48-54.

Lee ES et al. 2005. Depressive mood and abdominal fat distribution in overweight premenopausal women. Obesity. 13:320-325.

Li C, Ford ES, McGuire LC, Mokdad AH. 2007. Increasing trends in waist circumference and abdominal obesity among U.S. adults. Obesity.

15:216-224.

Lofgren I et al. 2004. Waist circumference is a better predictor than body mass index of coronary heart disease risk in overweight premenopausal women. J. Nutr. 134:1071-1076.

Low S, Chin MC, Deurenberg-Yap M. 2009. Review on epidemic of obesity. Ann Acad Med Singapore. 38:57-65

Malik VS, Schulze MB, Hu FB. 2006. Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr. 84:274-288.

Mansour AA, Al-Hassan AA, Al-Jazairi MI. 2007. Cut-off values for waist circumference in rural Iraqi adults for the diagnosis of metabolic syndrome. Rural and Remote Health 7:765.

Martins IS, Marinho SP. 2003. The potential of central obesity antropometric indicators as diagnostic tools. Rev Saúde Pública. 37(6)

McTiernan A et al. 2007. Exercise effect on weight and body fat in men and women. Obesity. 15:1496-1512.

Misra A, Pandey RM, Devi JR, Sharma R, Vikram NK, Khanna N. 2001. High prevalence of diabetes, obesity and dyslipidemia in urban slum population in Northern India. Int J Obes. 25:1722-1729.

Mustelin L et al. 2009. Physical activity reduces the influence of genetic effects on BMI and waist circumference: a study in young adult twins. Int J Obes. 33:29-36.

Newby PK et al. 2003. Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr. 77:1417-1425.

Panagiotakos DB et al. 2004. Epidemiology of overweight and obesity in a Greek adult population: the ATTICA study. Obesity. 12:1914-1920.

Pischon T et al. 2008. General and abdominal adiposity and risk of death in Europe. N Engl J Med. 359:2105-2120.

Poirier P, Despres JP. 2003. Waist circumference, visceral obesity, and cardiovascular risk. J Cardiol Rehab. 23:161-169.

Reynolds K et al. 2007. Prevalence and risk factors of overweight and obesity in China. Obesity. 15:10-18.

Risérus U, Ingelsson E. 2007. Alcohol intake, insulin resistance, and abdominal obesity in elderly men. Obesity. 15:1766 -1773.

Roberts C et al. 2003. Prospective association between obesity and depression:

evidence from the Alameda county study. Int J Obes. 27:514-521.

___________. 2007. The Effects of stress on body weight: biological and psychological predictors of change in BMI. Obesity.15: 3045-3055.

Roemmich JN, Smith JR, Epstein LH, Lambiase M. 2007. Stress reactivity and adiposity of youth. Obesity. 15:2303-2310.

Rosmond R, Björntorp P. 2000. Occupational status, cortisol secretory pattern and visceral obesity in middle-aged men. Obes Res. 8:445-450.

Shen W et al. 2006. Waist circumference correlates with metabolic syndrome indicators better than percentage fat. Obesity. 14:727-736.

Slentz CA et al. 2004. Effects of the amount of exercise on body weight, body composition, and measures of central obesity. Arch Intern Med. 164:31-39.

Sonmez K et al. 2003. Which method should be used to determinate the obesity, in patients with coronary artery disease? (body mass index, waist circumference or waist-hip ratio). Int J Obes Relat Metab Disord. 27:

341-346.

The Western Pacific Region, World Health Organization, International Associates for the Study of Obesity, International Obesity Task Force. 2000. The Asia-Pacific Perspective: redefining obesity and its treatment.

Melbourne: Health Communications Australia.

Tolstrup JS et al. 2008. Alcohol drinking frequency in relation to subsequent changes in waist circumference. Am J Clin Nutr. 87:957-963.

Tsai CJ, Leitzmann MF, Willett WC, Giovannucci EL. 2004. Prospective study of abdominal adiposity and gallstone disease in US men. Am J Clin Nutr 80:38-44.

Vadstrup ES et al. 2003. Waist Circumference in relation to history of amount and type of alcohol: results from the Copenhagen City heart study. Int J Obes. 27:238-246.

Visscher TLS, Seidell JC, Molarius A, van der Kuip D, Hofman A, Witteman JCM.

2001. A comparison of body mass index, waist-hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study. Int J Obes. 25:1730-1735.

von Eyben FE et al. 2003. Intra-abdominal obesity and metabolic risk factors: a study of young adults. Int J Obes Relat Metab Disord. 27:941-949.

Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. 2005. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr. 81:555-563.

Wannamethee SG, Shaper AG, Morris RW, Whincup PH. 2005. Measures of adiposity in the identification of metabolic abnormalities in elderly men.

Am J Clin Nutr. 81:1313-1321.

World Health Organization. The challenge of obesity in the WHO European Region and the strategies for response. Di dalam Low S, Chin MC, Deurenberg-Yap M. 2009. Review on epidemic of obesity. Ann Acad Med Singapore. 38:57-65.

Weng HH et al. 2004. Number of children associated with obesity in middle-aged women and men: results from the health and retirement study.

http://www.medscape.com/viewarticle/471014 [19 Agustus 2009]

WHO. 2000. Obesity: Preventing and Managing the Global Epidemic. Report of a WHO consultation. Geneva, Switzerland.

_____. 2003. Global Strategy on Diet, Physical Activity and Health. Obesity and Overweight: fact sheet. Geneva, Switzerland.

Wildman RP, Gu D, Reynolds K, Duan X, He J. 2004. Appropriate body mass index and waist circumference cut offs for categorization of overweight and central adiposity among Chinese adults. Am J Clin Nutr. 80:1129-1136.

Wildman RP et al. 2005. Are waist circumference and body mass index independently associated with cardiovascular disease risk in Chinese adults? Am J Clin Nutr. 82:1195–202.

Williams PT, Satariano WA. 2005. Relationships of age and weekly running distance to BMI and circumferences in 41 582 physically active women.

Obesity. 13:1370-1380.

Wittchen HU et al. 2006. International day for the evaluation of abdominal obesity: rationale and design of a primary care study on the prevalence of abdominal obesity and associated factors in 63 countries. Eur Heart J.

8(suppl B): B26-B33.

Wolff H, Delhumeau C, Beer-Borst S, Golav A, Contanza MC, Morabia A. 2006.

Converging prevalences of obesity across educational groups in Switzerland. Obesity. 14:2080-2088.

World Health Organization Western Pacific Region. 2000. International Association for the Study of Obesity and the International Obesity Task Force. The Asia-Pacific perspective: Redefining obesity and its treatment. Crows Nest, NSW, Australia: Health Communications Australia.

Xu F, Yin XM, Wang Y. 2007. The Association between amount of cigarettes smoked and overweight, central obesity among Chinese adults in Nanjing, China. Asia Pac J Clin Nutr. 16 (2):240-247.

Yoon YS, Oh SW, Park HS. 2006. Socioeconomic status in relation to obesity and abdominal obesity in Korean adults: a focus on sex differences.

Obesity. 14:909-919.

Zhang X et al. 2007. Abdominal adiposity and mortality in Chinese women. Arch Intern Med.167:886-892.

___________. 2008. Prevalence and associated factors of overweight and obesity in a Chinese rural population. Obesity. 16:168-171.

Lampiran 1. Hasil analisis bivariat korelasi spearman dan kontingensi Sulawesi Utara

A B C D E F G H I J K L M N O P

A 1,000

B ,185(**) 1,000

C ,045(**) -,251(**) 1,000

D ,063(**) ,093(**) ,210(**) 1,000

E -,051(**) -,195(**) ,029(**) -,335(**) 1,000

F -,229(**) ,078(**) -,070(**) -,024(*) -0,006 1,000

G -,168(**) ,042(**) -,200(**) -,118(**) ,034(**) ,399(**) 1,000

H -,125(**) -0,019 0,011 -,028(**) -,027(*) ,523(**) ,262(**) 1,000

I -0,012 ,030(**) ,041(**) ,042(**) 0,007 0,003 -0,002 -0,002 1,000

J -,022(*) -,022(*) -,054(**) 0,000 ,039(**) ,040(**) ,080(**) 0,004 ,024(*) 1,000

K ,043(**) -,030(**) ,119(**) ,047(**) -,029(**) 0,000 -,115(**) ,070(**) 0,006 ,069(**) 1,000

L ,034(**) ,122(**) -,095(**) -0,009 -,023(*) -,041(**) -,033(**) -0,020 -0,005 -0,020 -,033(**) 1,000 M ,320(**) ,053(**) 0,024 0,015 ,033(*) ,572(**) ,370(**) ,380(**) 0,003 0,034 0,024 ,094(**) 1,000 N ,225(**) ,628(**) ,246(**) 0,040 ,182(**) ,135(**) ,147(**) ,063(**) 0,024 ,068(**) 0,052 ,125(**) ,165(**) 1,000 O ,326(**) ,578(**) ,563(**) ,244(**) ,131(**) ,502(**) ,474(**) ,319(**) ,057(*) 0,132(**) ,191(**) ,120(**) ,577(**) ,550(**) 1,000 P ,099(**) 0,034 ,215(**) ,142(**) ,040(*) ,043(*) ,213(**) 0,012 0,010 0,127(**) ,201(**) ,038(**) 0,012 ,041(*) ,322(**) 1,000

** korelasi signifikan pada level 0,01 (2-tailed); * korelasi signifikan pada level 0,05 (2-tailed)

A=obesitas sentral, B=umur, C=pendidikan, D=pengeluaran per kapita, E=besar keluarga, F=kebiasaan merokok, G=aktivitas fisik berat, H=konsumsi minuman beralkohol, I=konsumsi sayuran dan buah, J=konsumsi makanan/minuman manis, K=konsumsi makanan berlemak, L=kondisi mental emosional, M=jenis kelamin, N=status kawin, O=pekerjaan, P=tipe wilayah.

Gorontalo

A B C D E F G H I J K L M N O P

A 1,000

B ,217(**) 1,000

C ,081(**) -,177(**) 1,000

D ,121(**) ,049(**) ,333(**) 1,000

E -,060(**) -,094(**) 0,004 -,334(**) 1,000

F -,283(**) ,108(**) -,118(**) -,027(*) -0,013 1,000

G -,139(**) -,037(**) -,117(**) -,063(**) 0,021 ,446(**) 1,000

H -,194(**) ,100(**) -,279(**) -,155(**) -0,005 ,423(**) ,263(**) 1,000

I -0,005 0,019 0,007 ,046(**) -0,009 0,019 -0,002 ,027(*) 1,000

J 0,025 -0,022 ,032(*) 0,024 ,036(**) -0,024 ,031(*) -0,011 -0,022 1,000

K -0,007 -,056(**) ,089(**) ,043(**) 0,020 -0,021 0,006 -0,004 -0,005 ,140(**) 1,000

L ,073(**) ,162(**) -,149(**) -0,023 -,041(**) -0,024 -0,010 ,027(*) 0,002 -,035(**) -0,017 1,000

M ,347(**) 0,039 ,074(**) 0,023 0,020 ,608(**) ,350(**) ,381(**) ,031(*) ,051(**) 0,041 ,091(**) 1,000 N ,217(**) ,605(**) ,232(**) ,066(*) ,190(**) ,158(**) ,064(**) ,175(**) ,039(*) 0,061 ,079(**) ,126(**) ,142(**) 1,000 O ,361(**) ,528(**) ,619(**) ,340(**) ,142(**) ,533(**) ,316(**) ,484(**) ,066(*) ,150(**) ,161(**) ,141(**) ,576(**) ,549(**) 1,000 P ,076(**) ,048(*) ,334(**) ,117(**) ,040(*) ,092(**) ,060(**) ,146(**) 0,013 ,154(**) ,171(**) ,102(**) ,027(*) ,090(**) ,349(**) 1,000

** korelasi signifikan pada level 0,01 (2-tailed); * korelasi signifikan pada level 0,05 (2-tailed)

A=obesitas sentral, B=umur, C=pendidikan, D=pengeluaran per kapita, E=besar keluarga, F=kebiasaan merokok, G=aktivitas fisik berat, H=konsumsi minuman beralkohol, I=konsumsi sayuran dan buah, J=konsumsi makanan/minuman manis, K=konsumsi makanan berlemak, L=kondisi mental emosional, M=jenis kelamin, N=status kawin, O=pekerjaan, P=tipe wilayah.

DKI Jakarta

A B C D E F G H I J K L M N O

A 1,000

B ,254(**) 1,000

C -,087(**) -,225(**) 1,000

D ,029(**) ,066(**) ,224(**) 1,000

E -,043(**) -,073(**) ,047(**) -,287(**) 1,000

F -,188(**) ,079(**) ,047(**) -,041(**) -,029(**) 1,000

G -,044(**) -,032(**) 0,016 -0,009 -0,008 ,203(**) 1,000

H -,070(**) -0,013 -,041(**) -,069(**) -,026(**) ,226(**) ,088(**) 1,000

I ,021(*) ,041(**) ,046(**) ,052(**) 0,015 -,021(*) -0,007 -,029(**) 1,000

J -,046(**) -,020(*) ,024(**) -0,011 0,010 ,053(**) 0,006 0,002 -0,009 1,000

K -,024(**) -,122(**) ,047(**) 0,016 ,020(*) 0,017 0,017 ,053(**) -0,004 ,126(**) 1,000

L ,057(**) ,040(**) -,117(**) -,086(**) -,028(**) -,022(*) ,021(*) ,044(**) -,018(*) -,024(**) 0,003 1,000 M ,281(**) 0,023 ,147(**) 0,012 0,009 ,557(**) ,155(**) ,213(**) ,027(**) ,057(**) 0,021 ,104(**) 1,000 N ,244(**) ,697(**) ,286(**) ,050(**) ,211(**) ,126(**) ,041(**) ,067(**) ,029(*) ,085(**) ,113(**) ,081(**) ,178(**) 1,000 O ,297(**) ,552(**) ,452(**) ,192(**) ,166(**) ,418(**) ,110(**) ,241(**) ,060(**) ,116(**) ,117(**) ,117(**) ,513(**) ,525(**) 1,000

** korelasi signifikan pada level 0,01 (2-tailed); * korelasi signifikan pada level 0,05 (2-tailed)

A=obesitas sentral, B=umur, C=pendidikan, D=pengeluaran per kapita, E=besar keluarga, F=kebiasaan merokok, G=aktivitas fisik berat, H=konsumsi minuman beralkohol, I=konsumsi sayuran dan buah, J=konsumsi makanan/minuman manis, K=konsumsi makanan berlemak, L=kondisi mental emosional, M=jenis kelamin, N=status kawin, O=pekerjaan

75

Lampiran 2. Hasil analisis regresi logistik

Model Summary

No -2 Log likelihood Cox & Snell R Square Nagelkerke R Square

1 8916,435(a) 0,187 0,266

2 5073,903(b) 0,233 0,344

3 11185,054(a) 0,163 0,242

a. Estimation terminated at iteration number 5 because parameter estimates changed by less than 0,001.

b. Estimation terminated at iteration number 6 because parameter estimates changed by less than 0,001.

Regresi Logistik Sulawesi Utara

Case Processing Summary

Unweighted Cases(a) N Percent

Selected Cases Included in Analysis 8.885 100,0

Missing Cases 0 0,0

Total 8.885 100,0

Unselected Cases 0 0,0

Total 8.885 100,0

a. If weight is in effect, see classification table for the total number of cases.

Variable in the Equation

76

Logit C (Obesitas Sentral) = -3.834 +0.622 (umur 35-54 tahun) +0.759 (>=55 tahun) + 1.449 (wanita) + 1.168 (kawin) + 0.890 (cerai) + 0.310 (SMA/PT) + 0.425 (ibu rumah tangga) + 0.378 (TNI/POLRI/swasta) +0.386(BUMN/swasta) + 0.526 (wiraswasta/pedagang/jasa) + 0.427 (perkotaan) + 0.169 (tidak aktivitas fisik)

Gorontalo

Case Processing Summary

Unweighted Cases(a) N Percent

Selected Cases Included in Analysis 5.871 100,0

Missing Cases 0 0,0

Total 5.871 100,0

Unselected Cases 0 0,0

Total 5.871 100,0

a. If weight is in effect, see classification table for the total number of cases.

Variable in the Equation Petani/nelayan/buruh/lainnya 0,027 0,152 0,031 1 0,860 1,027 0,762 1,384

Kuintil 1 51,544 4 0,000 (kawin) + 0.877 ( cerai) + 0.298 (SD/SMP) + 0.547 (ibu rumah tangga) + 0.954 (TNI/POLRI/PNS) + 0.627 (wiraswasta/pedagang/jasa) + 0.464 (kuintil ke-2) + 0.477 (kuintil ke-3) + 0.688 (kuintil ke-4) + 0.819 (kuintil ke-5) + 0.258 (perkotaan) + 0.264 (tidak aktivitas fisik) + 0.177 (kondisi mental emosional terganggu)

77

DKI Jakarta

Case Processing Summary

Unweighted Cases(a) N Percent

Selected Cases Included in Analysis 11.805 100,0

Missing Cases 0 0,0

Total 11.805 100,0

Unselected Cases 0 0,0

Total 11.805 100,0

a. If weight is in effect, see classification table for the total number of cases.

Variable in The Equation Petani/nelayan/buruh/lainnya 0,029 0,106 0,074 1 0,785 1,029 0,836 1,267

Kuintil 1 8,384 4 0,078 (wiraswasta/pedagang/jasa)+ 0.184 (kuintil 5) + 0.250 (pernah merokok ) - 0.144 (makanan manis) + 0.195 (makanan berlemak) + 0.126 (kondisi mental emosional terganggu)

78

Lampiran 3. Variabel yang diambil dari kuisioner Riset Kesehatan Dasar 2007

79

80

D. PENGETAHUAN, SIKAP, DAN PERILAKU (SEMUA UMUR 10 TAHUN) PENGGUNAAN TEMBAKAU

D11 Apakah (NAMA) merokok/mengunyah tembakau selama 1 bulan terakhir ? (Bacakan Pilihan Jawaban) 1. Ya, setiap hari 3. Tidak, sebelumnya pernah

2. Ya, kadang kadang 4. Tidak pernah sama sekali ALKOHOL

D 19 Apakah dalam 1 bulan terakhir (NAMA) pernah mengonsumsi minuman yang mengandung alkohol (minuman bermerk : contohnya bi, whiskey, vodka, anggur/wine, dll dan minuman tradisional : contohnya tuak, poteng, sopi) ?

1.ya 2.tidak

AKTIVITAS FISIK (GUNAKAN KARTU PERAGA)

D 22 Apakah (NAMA) biasa melakukan aktivitas fisik berat, yang dilakukan terus menerus paling sedikit selama 10 menit setiap kali melakukannya?

1.ya 2.tidak PERILAKU KONSUMSI

D31 Biasanya dalam satu minggu, berapa hari (NAMA) makan buah-buahan segar ? GUNAKAN KARTU PERAGA JIKA JAWABAN “0” D33

…..hari D32 Berapa porsi rata-rata (NAMA) makan buah-buahan segar dalam satu hari dari hari-hari tersebut?

(GUNAKAN KARTU PERAGA) …..porsi

D33 Biasanya dalam satu minggu, berapa hari (NAMA) makan sayur-sayuran segar ? GUNAKAN KARTU PERAGA JIKA JAWABAN “0” D35

…..hari D34 Berapa porsi rata-rata (NAMA) makan sayur-sayuran segar dalam sehari ?

(GUNAKAN KARTU PERAGA) …..porsi

TANYAKAN D35 TANPA PERAGA DAN ISIKAN KODE PILIHAN JAWABAN 1. > 1 kali per hari 3. 3-6 kali per minggu 5. < 3 kali per bulan 2. 1 kali per hari 4. 1-2 kali per minggu 6. Tidak pernah D35 Biasanya berapa kali (NAMA) mengonsumsi makanan berikut :

a. Makanan/ minuman manis b. Makanan berlemak

F. KESEHATAN MENTAL (SEMUA ART UMUR 15 TAHUN)

ISIKAN DENGAN KODE 1=YA ATAU 2=TIDAK F01 Apakah (NAMA) sering menderita sakit

kepala?

F11 Apakah (NAMA) merasa sulit untuk menikmati kegiatan sehari-hari ?

F02 Apakah (NAMA) tidak nafsu makan? F12 Apakah (NAMA) sulit untuk mengambil keputusan ? F03 Apakah (NAMA) sulit tidur? F13 Apakah (NAMA) pekerjaan sehari-hari terganggu?

F04 Apakah (NAMA) mudah takut? F14 Apakah (NAMA) tidak mampu melakukan hal-hal yang Bermanfaat dalam hidup?

F05 Apakah (NAMA) merasa tegang, cemas, atau kuatir?

F15 Apakah (NAMA) kehilangan minat pada berbagai hal?

F06 Apakah tangan (NAMA) gemetar? F16 Apakah (NAMA) meras tidak berharga?

F07 Apakah pencernaan (NAMA) terganggu /buruk?

F17 Apakah (NAMA) mempunyai pikiran untuk mengakhiri hidup ?

F08 Apakah (NAMA) sulit berpikir jernih ? F18 Apakah (NAMA) merasa lelah sepanjang waktu?

F09 Apakah (NAMA) merasa tidak bahagia ? F19 Apakah (NAMA) mengalami rasa tidak enak di perut?

F10 Apakah (NAMA) menangis lebih sering ? F20 Apakah (NAMA) mudah lelah?

XI. PENGUKURAN DAN PEMERIKSAAN

4 Lingkar Perut ……..cm

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