Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design

Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate t...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Felician A. Kitole [verfasserIn] Jennifer K. Sesabo [verfasserIn] Robert M. Lihawa [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion

Übergeordnetes Werk:	In: Health Science Reports - Wiley, 2018, 6(2023), 10, Seite n/a-n/a
Übergeordnetes Werk:	volume:6 ; year:2023 ; number:10 ; pages:n/a-n/a

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1002/hsr2.1585

Katalog-ID:	DOAJ090973828

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ090973828
003	DE-627
005	20240414085301.0
007	cr uuu---uuuuu
008	240412s2023 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1002/hsr2.1585 \|2 doi
035			\|a (DE-627)DOAJ090973828
035			\|a (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	0		\|a Felician A. Kitole \|e verfasserin \|4 aut
245	1	0	\|a Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design
264		1	\|c 2023
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.
650		4	\|a control function approach
650		4	\|a disease burden
650		4	\|a instrumental variable
650		4	\|a noncommunicable diseases (NCDs)
650		4	\|a public health
650		4	\|a two stage residual inclusion
653		0	\|a Medicine
653		0	\|a R
700	0		\|a Jennifer K. Sesabo \|e verfasserin \|4 aut
700	0		\|a Robert M. Lihawa \|e verfasserin \|4 aut
773	0	8	\|i In \|t Health Science Reports \|d Wiley, 2018 \|g 6(2023), 10, Seite n/a-n/a \|w (DE-627)101922052X \|w (DE-600)2927182-4 \|x 23988835 \|7 nnns
773	1	8	\|g volume:6 \|g year:2023 \|g number:10 \|g pages:n/a-n/a
856	4	0	\|u https://doi.org/10.1002/hsr2.1585 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f \|z kostenfrei
856	4	0	\|u https://doi.org/10.1002/hsr2.1585 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2398-8835 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 6 \|j 2023 \|e 10 \|h n/a-n/a

Indexfelder

author_variant	f a k fak j k s jks r m l rml
matchkey_str	article:23988835:2023----::ntuetlaibeprahnnlznrsfcossoitdihocmuialdsaervlne
hierarchy_sort_str	2023
publishDate	2023
allfields	10.1002/hsr2.1585 doi (DE-627)DOAJ090973828 (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f DE-627 ger DE-627 rakwb eng Felician A. Kitole verfasserin aut Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities. control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion Medicine R Jennifer K. Sesabo verfasserin aut Robert M. Lihawa verfasserin aut In Health Science Reports Wiley, 2018 6(2023), 10, Seite n/a-n/a (DE-627)101922052X (DE-600)2927182-4 23988835 nnns volume:6 year:2023 number:10 pages:n/a-n/a https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f kostenfrei https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/toc/2398-8835 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 10 n/a-n/a
spelling	10.1002/hsr2.1585 doi (DE-627)DOAJ090973828 (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f DE-627 ger DE-627 rakwb eng Felician A. Kitole verfasserin aut Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities. control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion Medicine R Jennifer K. Sesabo verfasserin aut Robert M. Lihawa verfasserin aut In Health Science Reports Wiley, 2018 6(2023), 10, Seite n/a-n/a (DE-627)101922052X (DE-600)2927182-4 23988835 nnns volume:6 year:2023 number:10 pages:n/a-n/a https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f kostenfrei https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/toc/2398-8835 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 10 n/a-n/a
allfields_unstemmed	10.1002/hsr2.1585 doi (DE-627)DOAJ090973828 (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f DE-627 ger DE-627 rakwb eng Felician A. Kitole verfasserin aut Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities. control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion Medicine R Jennifer K. Sesabo verfasserin aut Robert M. Lihawa verfasserin aut In Health Science Reports Wiley, 2018 6(2023), 10, Seite n/a-n/a (DE-627)101922052X (DE-600)2927182-4 23988835 nnns volume:6 year:2023 number:10 pages:n/a-n/a https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f kostenfrei https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/toc/2398-8835 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 10 n/a-n/a
allfieldsGer	10.1002/hsr2.1585 doi (DE-627)DOAJ090973828 (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f DE-627 ger DE-627 rakwb eng Felician A. Kitole verfasserin aut Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities. control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion Medicine R Jennifer K. Sesabo verfasserin aut Robert M. Lihawa verfasserin aut In Health Science Reports Wiley, 2018 6(2023), 10, Seite n/a-n/a (DE-627)101922052X (DE-600)2927182-4 23988835 nnns volume:6 year:2023 number:10 pages:n/a-n/a https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f kostenfrei https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/toc/2398-8835 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 10 n/a-n/a
allfieldsSound	10.1002/hsr2.1585 doi (DE-627)DOAJ090973828 (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f DE-627 ger DE-627 rakwb eng Felician A. Kitole verfasserin aut Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities. control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion Medicine R Jennifer K. Sesabo verfasserin aut Robert M. Lihawa verfasserin aut In Health Science Reports Wiley, 2018 6(2023), 10, Seite n/a-n/a (DE-627)101922052X (DE-600)2927182-4 23988835 nnns volume:6 year:2023 number:10 pages:n/a-n/a https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f kostenfrei https://doi.org/10.1002/hsr2.1585 kostenfrei https://doaj.org/toc/2398-8835 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 10 n/a-n/a
language	English
source	In Health Science Reports 6(2023), 10, Seite n/a-n/a volume:6 year:2023 number:10 pages:n/a-n/a
sourceStr	In Health Science Reports 6(2023), 10, Seite n/a-n/a volume:6 year:2023 number:10 pages:n/a-n/a
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion Medicine R
isfreeaccess_bool	true
container_title	Health Science Reports
authorswithroles_txt_mv	Felician A. Kitole @@aut@@ Jennifer K. Sesabo @@aut@@ Robert M. Lihawa @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	101922052X
id	DOAJ090973828
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ090973828</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414085301.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240412s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/hsr2.1585</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ090973828</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Felician A. Kitole</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">control function approach</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">disease burden</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">instrumental variable</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">noncommunicable diseases (NCDs)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">public health</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">two stage residual inclusion</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jennifer K. Sesabo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Robert M. Lihawa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Health Science Reports</subfield><subfield code="d">Wiley, 2018</subfield><subfield code="g">6(2023), 10, Seite n/a-n/a</subfield><subfield code="w">(DE-627)101922052X</subfield><subfield code="w">(DE-600)2927182-4</subfield><subfield code="x">23988835</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:n/a-n/a</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1002/hsr2.1585</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1002/hsr2.1585</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2398-8835</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2023</subfield><subfield code="e">10</subfield><subfield code="h">n/a-n/a</subfield></datafield></record></collection>
author	Felician A. Kitole
spellingShingle	Felician A. Kitole misc control function approach misc disease burden misc instrumental variable misc noncommunicable diseases (NCDs) misc public health misc two stage residual inclusion misc Medicine misc R Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design
authorStr	Felician A. Kitole
ppnlink_with_tag_str_mv	@@773@@(DE-627)101922052X
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut
collection	DOAJ
remote_str	true
illustrated	Not Illustrated
issn	23988835
topic_title	Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design control function approach disease burden instrumental variable noncommunicable diseases (NCDs) public health two stage residual inclusion
topic	misc control function approach misc disease burden misc instrumental variable misc noncommunicable diseases (NCDs) misc public health misc two stage residual inclusion misc Medicine misc R
topic_unstemmed	misc control function approach misc disease burden misc instrumental variable misc noncommunicable diseases (NCDs) misc public health misc two stage residual inclusion misc Medicine misc R
topic_browse	misc control function approach misc disease burden misc instrumental variable misc noncommunicable diseases (NCDs) misc public health misc two stage residual inclusion misc Medicine misc R
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Health Science Reports
hierarchy_parent_id	101922052X
hierarchy_top_title	Health Science Reports
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)101922052X (DE-600)2927182-4
title	Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design
ctrlnum	(DE-627)DOAJ090973828 (DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f
title_full	Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design
author_sort	Felician A. Kitole
journal	Health Science Reports
journalStr	Health Science Reports
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2023
contenttype_str_mv	txt
author_browse	Felician A. Kitole Jennifer K. Sesabo Robert M. Lihawa
container_volume	6
format_se	Elektronische Aufsätze
author-letter	Felician A. Kitole
doi_str_mv	10.1002/hsr2.1585
author2-role	verfasserin
title_sort	instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in tanzania: a nonexperimental design
title_auth	Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design
abstract	Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.
abstractGer	Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.
abstract_unstemmed	Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	10
title_short	Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design
url	https://doi.org/10.1002/hsr2.1585 https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f https://doaj.org/toc/2398-8835
remote_bool	true
author2	Jennifer K. Sesabo Robert M. Lihawa
author2Str	Jennifer K. Sesabo Robert M. Lihawa
ppnlink	101922052X
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1002/hsr2.1585
up_date	2024-07-03T17:41:48.878Z
_version_	1803580613728403456
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ090973828</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414085301.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240412s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1002/hsr2.1585</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ090973828</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ6fd4173a2f2745249ffa00847f373b9f</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Felician A. Kitole</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Background and Aims Noncommunicable diseases (NCDs) have emerged as a substantial burden in developing countries, representing the leading cause of mortality. Addressing this critical issue necessitates effective interventions and policy measures. Therefore, this study aims to investigate the risk factors associated with NCD prevalence in Tanzania. Methods This study employed a nonexperimental research design due to its ability to analyze secondary data without altering variables. The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. Results The findings indicate a significant positive correlation between alcohol consumption (0.4110382, p = 0.02), cigarette smoking (0.3354297, p < 0.001), and NCDs, emphasizing the urgency of targeted interventions to mitigate these behaviors. Conversely, a negative correlation is observed between fruit and vegetable intake (−0.1063375, p < 0.001), physical exercises (−0.3744925, p < 0.001), and NCDs, underscoring the importance of promoting healthy dietary habits and frequent exercises. Conclusion These results accentuate the immediate need for targeted interventions and policy measures to address these risk factors and effectively combat the escalating burden of NCDs in Tanzania and similar contexts. Moreover, the need for improved public awareness campaigns and the promotion of healthy life campaigns are vital in the fight to lower the prevalence of NCDs across communities.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">control function approach</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">disease burden</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">instrumental variable</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">noncommunicable diseases (NCDs)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">public health</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">two stage residual inclusion</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jennifer K. Sesabo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Robert M. Lihawa</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Health Science Reports</subfield><subfield code="d">Wiley, 2018</subfield><subfield code="g">6(2023), 10, Seite n/a-n/a</subfield><subfield code="w">(DE-627)101922052X</subfield><subfield code="w">(DE-600)2927182-4</subfield><subfield code="x">23988835</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:n/a-n/a</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1002/hsr2.1585</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/6fd4173a2f2745249ffa00847f373b9f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1002/hsr2.1585</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2398-8835</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2023</subfield><subfield code="e">10</subfield><subfield code="h">n/a-n/a</subfield></datafield></record></collection>
score	7.398587

Nicht das Richtige dabei?

Schreiben Sie uns!

Instrumental variable approach on analyzing risk factors associated with noncommunicable disease prevalence in Tanzania: A nonexperimental design

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?