26
|
Timmermans EJ, Veldhuizen EM, Snijder MB, Huisman M, Kunst AE. Neighbourhood safety and smoking in population subgroups: The HELIUS study. Prev Med 2018; 112:111-118. [PMID: 29654838 DOI: 10.1016/j.ypmed.2018.04.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 03/20/2018] [Accepted: 04/06/2018] [Indexed: 11/26/2022]
Abstract
This study examines the associations between neighbourhood safety and three types of smoking behaviour, and whether these associations differ by sex, age, ethnicity and individual-level socio-economic position. Baseline data (2011-2015) from the The HEalthy LIfe in an Urban Setting (HELIUS) study (Amsterdam, the Netherlands) were used. Smoking behaviour was based on self-report. Heavy smoking was defined as smoking ≥10 cigarettes per day. Nicotine dependence was assessed using the Fagerström questionnaire. Geographic Information System techniques were used to construct local residential areas and to examine neighbourhood safety for these areas using micro-scale environmental data. Multilevel logistic regression analyses with 6-digit zip code area as a second level were used to assess the association between neighbourhood safety and smoking. In our study sample of 22,728 participants (18-70 years), 24.0% were current smokers, 13.7% were heavy smokers and 8.1% were nicotine dependent individuals. Higher levels of neighbourhood safety were significantly associated with less heavy smoking (OR = 0.88, 95% CI = 0.78-0.99) and less nicotine dependence (OR = 0.81, 95% CI = 0.69-0.95), but not with less current smoking (OR = 1.01, 95% CI = 0.91-1.11). The associations between neighbourhood safety and the three types of smoking behaviour varied by ethnicity. For instance, higher levels of neighbourhood safety were associated with less current smoking in participants of African Surinamese origin (OR = 0.71, 95% CI = 0.57-0.89), but not in those of Dutch (OR = 1.13, 95% CI = 0.91-1.39), South-Asian Surinamese (OR = 1.22, 95% CI = 0.95-1.55), Turkish (OR = 1.08, 95% CI = 0.84-1.38), Moroccan (OR = 1.53, 95% CI = 1.12-2.10) or Ghanaian (OR = 1.18, 95% CI = 0.47-2.94) origin. Policies that improve neighbourhood safety potentially contribute to less heavy smoking and nicotine dependence.
Collapse
|
27
|
Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Hajifathalian K, Taddei C, Carrillo-Larco RM, Djalalinia S, Khatibzadeh S, Lugero C, Peykari N, Zhang WZ, Bennett J, Bilano V, Stevens GA, Cowan MJ, Riley LM, Chen Z, Hambleton IR, Jackson RT, Kengne AP, Khang YH, Laxmaiah A, Liu J, Malekzadeh R, Neuhauser HK, Sorić M, Starc G, Sundström J, Woodward M, Ezzati M, Abarca-Gómez L, Abdeen ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Raddadi R, Ali MM, Ali O, Alkerwi A, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Ängquist LH, Anjana RM, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arlappa N, Arveiler D, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Avdicová M, Azevedo A, Azizi F, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MV, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Romdhane HB, Benet M, Benson LS, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi Y, Bikbov M, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bongard V, Borchini R, Bovet P, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Bruno G, Bueno-de-Mesquita HB, Bugge A, Burns C, Bursztyn M, de León AC, Cacciottolo J, Cai H, Cameron C, Can G, Cândido APC, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Dekkaki IC, Chetrit A, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Cho Y, Christofaro DG, Chudek J, Cifkova R, Cinteza E, Claessens F, Clays E, Concin H, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, Cruz JJ, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Danaei G, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Smedt D, Deepa M, Dehghan A, Delisle H, Deschamps V, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Djalalinia S, Do HTP, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Doua K, Drygas W, Dulskiene V, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eggertsen R, Ekelund U, El Ati J, Elliott P, Elosua R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Galvano F, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geleijnse JM, Ghasemian A, Ghimire A, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Goldsmith RA, Gonçalves H, Gonzalez-Gross M, González-Rivas JP, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Grujic V, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Halkjær J, Hambleton IR, Hardy R, Hari Kumar R, Hata J, Hayes AJ, He J, He Y, Elisabeth M, Henriques A, Cadena LH, Herrala S, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Dinc GH, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Than Htike MM, Hu Y, Huerta JM, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Ikeda N, Ikram MA, Irazola VE, Islam M, al-Safi Ismail A, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, Jaddou H, Jafar T, Jamrozik K, Janszky I, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jeong SL, Jiang CQ, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Jóźwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Karki KB, Kasaeian A, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Kengne AP, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khateeb M, Khaw KT, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim J, Kim YY, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Korrovits P, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kulaga Z, Krishna Kumar R, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Laugsand LE, Laxmaiah A, Le Nguyen Bao K, Le TD, Leclercq C, Lee J, Lee J, Lehtimäki T, León-Muñoz LM, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machi S, Maggi S, Magliano DJ, Magriplis E, Majer M, Makdisse M, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina S, Manios Y, Mann JI, Manzato E, Margozzini P, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mathiesen EB, Matijasevich A, Matsha TE, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Medzioniene J, Meirhaeghe A, Meisinger C, Menezes AMB, Menon GR, Meshram II, Metspalu A, Meyer HE, Mi J, Mikkel K, Miller JC, Minderico CS, Francisco J, Miranda JJ, Mirrakhimov E, Mišigoj-Durakovic M, Modesti PA, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mota J, Esmaeel Motlagh M, Motta J, Msyamboza KP, Mu TT, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Nauck M, Navarrete-Muñoz EM, Ndiaye NC, Neal WA, Nenko I, Neovius M, Nervi F, Neuhauser HK, Nguyen CT, Nguyen ND, Nguyen QN, Nguyen QV, Nieto-Martínez RE, Niiranen TJ, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Noorbala AA, Norat T, Noto D, Al Nsour M, O'Reilly D, Oda E, Oehlers G, Oh K, Ohara K, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Patel ND, Pecin I, Pednekar MS, Peer N, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Plans-Rubió P, Polašek O, Porta M, Portegies MLP, Pourshams A, Poustchi H, Pradeepa R, Prashant M, Price JF, Puder JJ, Puiu M, Punab M, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Redon J, Reganit PFM, Ribeiro R, Riboli E, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robinson SM, Robitaille C, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rojas-Martinez R, Romaguera D, Ronkainen K, Rosengren A, Roy JGR, Rubinstein A, Sandra Ruiz-Betancourt B, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Sakarya S, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Nunes dos Santos R, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Saum KU, Savva S, Scazufca M, Schargrodsky H, Schipf S, Schmidt CO, Schöttker B, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Si-Ramlee K, Siantar R, Sibai AM, Santos Silva DA, Simon M, Simons J, Simons LA, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Staessen JA, Starc G, Stathopoulou MG, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Sun CA, Sundström J, Sung YT, Suriyawongpaisal P, Sy RG, Shyong Tai E, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Tautu OF, Taylor A, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Torrent M, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzourio C, Ueda P, Ugel EE, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Velasquez-Melendez G, Veronesi G, Monique Verschuren WM, Verstraeten R, Victora CG, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen S, Wade AN, Wagner A, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong TY, Woo J, Woodward M, Giwercman Wu A, Wu FC, Wu S, Xu H, Yan W, Yang X, Ye X, Yiallouros PK, Yoshihara A, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zambon S, Zampelas A, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol 2018; 47:872-883i. [PMID: 29579276 PMCID: PMC6005056 DOI: 10.1093/ije/dyy016] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/16/2018] [Accepted: 01/24/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. METHODS We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. RESULTS In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. CONCLUSIONS Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
Collapse
|
28
|
Wijnhoven HAH, Elstgeest LEM, de Vet HCW, Nicolaou M, Snijder MB, Visser M. Development and validation of a short food questionnaire to screen for low protein intake in community-dwelling older adults: The Protein Screener 55+ (Pro55+). PLoS One 2018; 13:e0196406. [PMID: 29791454 PMCID: PMC5965846 DOI: 10.1371/journal.pone.0196406] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 04/12/2018] [Indexed: 01/10/2023] Open
Abstract
In old age, sufficient protein intake is important to preserve muscle mass and function. Around 50% of older adults (65+ y) consumes ≤1.0 g/kg adjusted body weight (BW)/day (d). There is no rapid method available to screen for low protein intake in old age. Therefore, we aimed to develop and validate a short food questionnaire to screen for low protein intake in community-dwelling older adults. We used data of 1348 older men and women (56–101 y) of the LASA study (the Netherlands) to develop the questionnaire and data of 563 older men and women (55–71 y) of the HELIUS study (the Netherlands) for external validation. In both samples, protein intake was measured by the 238-item semi-quantitative HELIUS food frequency questionnaire (FFQ). Multivariable logistic regression analysis was used to predict protein intake ≤1.0 g/kg adjusted BW/d (based on the HELIUS FFQ). Candidate predictor variables were FFQ questions on frequency and amount of intake of specific foods. In both samples, 30% had a protein intake ≤1.0 g/kg adjusted BW/d. Our final model included adjusted body weight and 10 questions on the consumption (amount on average day or frequency in 4 weeks) of: slices of bread (number); glasses of milk (number); meat with warm meal (portion size); cheese (amount and frequency); dairy products (like yoghurt) (frequency); egg(s) (frequency); pasta/noodles (frequency); fish (frequency); and nuts/peanuts (frequency). The area under the receiver operating characteristic curve (AUC) was 0.889 (95% CI 0.870–0.907). The calibration slope was 1.03 (optimal slope 1.00). At a cut-off of ≤0.8 g/kg adjusted BW/d, the AUC was 0.916 (96% CI 0.897–0.936). Applying the regression equation to the HELIUS sample, the AUC was 0.856 (95% CI 0.824–0.888) and the calibration slope 0.92. Regression coefficients were therefore subsequently shrunken by a linear factor 0.92. To conclude, the short food questionnaire (Pro55+) can be used to validly screen for protein intake ≤1.0 g/kg adjusted BW/d in community-dwelling older adults. An online version can be found at www.proteinscreener.nl. External validation in other countries is recommended.
Collapse
|
29
|
Perini W, Snijder MB, Peters RJG, Stronks K, Kunst AE. Increased cardiovascular disease risk in international migrants is independent of residence duration or cultural orientation: the HELIUS study. J Epidemiol Community Health 2018; 72:825-831. [PMID: 29730606 DOI: 10.1136/jech-2018-210595] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 04/10/2018] [Accepted: 04/23/2018] [Indexed: 11/03/2022]
Abstract
BACKGROUND International migrants differ from host populations in cardiovascular disease (CVD) risk. It has been postulated that these disparities narrow with longer residence duration. Our aim was to determine whether CVD risk still differs between migrants and host population after decades of residence and to determine whether this potential convergence of CVD risk would occur mainly among migrants with a strong cultural orientation towards the host culture. METHODS In the Healthy Life in an Urban Setting study, we obtained data regarding residence duration, cultural orientation as estimated by the Psychological Acculturation Scale and CVD risk as estimated by SCORE among the Dutch host population and first generation migrants from South-Asian Surinamese, African Surinamese, Moroccan and Turkish ethnic background residing in Amsterdam. Estimated CVD risk was compared with the Dutch, separately for medium-term residence (15-30 years) or long-term residence (>30 years) migrants, and by strong/weak cultural orientation towards the Dutch culture, using age-adjusted regression analyses. RESULTS Among 8672 participants without prior CVD, estimated CVD risk was higher among migrant groups relative to the Dutch. CVD risk relative to the Dutch did not differ by residence duration (betas ranging from 0.1 to 3.4 for medium-term and from 0.6 to 3.3 for long-term residence, respectively). Furthermore, these patterns did not differ by cultural orientation towards the Dutch culture. CONCLUSION We find no indication that CVD risk among South-Asian Surinamese, African Surinamese, Turkish or Moroccan migrants converges to that of the Dutch host population with increasing residence duration, not even among those with strong cultural orientation towards the host culture.
Collapse
|
30
|
Huisman BJMV, Hafkamp B, Agyemang C, van den Born BJH, Peters RJG, Snijder MB, Vogt L. FP105EXPLAINING FACTORS FOR ETHNIC DIFFERENCES IN ESTIMATED GFR IN THE NETHERLANDS : THE HELIUS STUDY. Nephrol Dial Transplant 2018. [DOI: 10.1093/ndt/gfy104.fp105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
|
31
|
van Leijden MJ, Penninx BWJH, Agyemang C, Olff M, Adriaanse MC, Snijder MB. The association of depression and posttraumatic stress disorder with the metabolic syndrome in a multi-ethnic cohort: the HELIUS study. Soc Psychiatry Psychiatr Epidemiol 2018; 53:921-930. [PMID: 29796849 PMCID: PMC6133160 DOI: 10.1007/s00127-018-1533-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 05/09/2018] [Indexed: 01/31/2023]
Abstract
PURPOSE Depression and posttraumatic stress disorder (PTSD) may be linked to the metabolic syndrome (MetS). Consistency of this association across ethnic groups and the influence of comorbidity of depression/PTSD were examined. METHODS Cross-sectional baseline data from the HELIUS study were used (4527 Dutch, 2999 South-Asian Surinamese, 4058 African Surinamese, 2251 Ghanaian, 3522 Turkish and 3825 Moroccan participants). The Patient Health Questionnaire-9 (PHQ-9) (score range 0-27) measured depressive symptoms. A 9-item questionnaire (score range 0-9) measured PTSD symptoms. The MetS was defined according to the International Diabetes Federation. The association of a depressed mood (PHQ-9 sum score ≥ 10) and severe PTSD symptoms (sum score ≥ 7) with the MetS was examined using logistic regression. Interaction with ethnicity and between a depressed mood and severe PTSD symptoms was tested. RESULTS A depressed mood was associated with the MetS [OR (95% CI) = 1.37 (1.24-1.51)] in the total sample and consistent across ethnic groups (p values for interaction all > 0.05). Severe PTSD symptoms were significantly associated with the MetS in the Dutch [OR (95% CI) = 1.71 (1.07-2.73)]. The South-Asian Surinamese, Turks and Moroccans showed weaker associations than the Dutch (p values for interaction all < 0.05). A depressed mood and severe PTSD symptoms did not interact in the association with the MetS (p values for interaction > 0.05). CONCLUSIONS A depressed mood was consistently associated with the MetS across ethnic groups, but the association between severe PTSD symptoms and the MetS maybe ethnicity dependent. The association with the MetS was not different in case of depressed mood/severe PTSD symptoms comorbidity.
Collapse
|
32
|
Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Al Buhairan F, Al Dhukair S, Ali MM, Ali O, Alkerwi A, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Andrade DS, Ängquist LH, Anjana RM, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arlappa N, Arveiler D, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Avdicová M, Azevedo A, Azizi F, Babu BV, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Bata I, Batieha AM, Batista RL, Batyrbek A, Baur LA, Beaglehole R, Romdhane HB, Benedics J, Benet M, Bennett JE, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhatti Z, Bhutta ZA, Bi H, Bi Y, Biehl A, Bikbov M, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Boissonnet CP, Bonaccio M, Bongard V, Bovet P, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, de León AC, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Capanzana M, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Cho Y, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cinteza E, Claessens F, Clays E, Concin H, Confortin SC, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, Cucu A, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dantoft TM, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder K, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Deschamps V, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante C, Duleva V, Dulskiene V, Dzerve V, Dziankowska-Zaborszczyk E, Egbagbe EE, Eggertsen R, Eiben G, Ekelund U, El Ati J, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, la Peña JED, Evans A, Faeh D, Fall CH, Sant'Angelo VF, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Flores EM, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Galeone D, Galvano F, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geiger H, Geleijnse JM, Ghasemian A, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Giwercman A, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gonçalves H, González-Leon M, González-Rivas JP, Gonzalez-Gross M, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Grujic V, Gu D, Gualdi-Russo E, Guallar-Castillón P, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Guo X, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Hadjigeorgiou CA, Si-Ramlee K, Halkjær J, Hambleton IR, Hardy R, Kumar RH, Hassapidou M, Hata J, Hayes AJ, He J, Heidinger-Felso R, Heinen M, Hendriks ME, Henriques A, Cadena LH, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Petrescu CH, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Iannone AG, Ibarluzea JM, Ibrahim MM, Ikeda N, Ikram MA, Irazola VE, Islam M, Ismail AAS, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, Jaddou H, Jafar T, Jamil KM, Jamrozik K, Janszky I, Jarani J, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jeong SL, Jiang CQ, Jiménez-Acosta SM, Joffres M, Johansson M, Jonas JB, Jørgensen T, Joshi P, Jovic DP, Józwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kapantais E, Karki KB, Kasaeian A, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Boker LK, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khang YH, Khateeb M, Khaw KT, Khouw IMSL, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim J, Kim YY, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, Korrovits P, Kos J, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Laugsand LE, Lauria L, Laxmaiah A, Bao KLN, Le TD, Lebanan MAO, Leclercq C, Lee J, Lee J, Lehtimäki T, León-Muñoz LM, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Loit HM, Lopes L, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Maggi S, Magliano DJ, Magriplis E, Mahaletchumy A, Maire B, Majer M, Makdisse M, Malekzadeh R, Malhotra R, Rao KM, Malyutina S, Manios Y, Mann JI, Manzato E, Margozzini P, Markaki A, Markey O, Marques LP, Marques-Vidal P, Marrugat J, Martin-Prevel Y, Martin R, Martorell R, Martos E, Marventano S, Masoodi SR, Mathiesen EB, Matijasevich A, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Yusof SM, Mediene-Benchekor S, Medzioniene J, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Meshram II, Metspalu A, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, Miller JC, Minderico CS, Miquel JF, Miranda JJ, Mirkopoulou D, Mirrakhimov E, Mišigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Yusoff MFM, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio EA, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota J, Mota-Pinto A, Motlagh ME, Motta J, Mu TT, Muc M, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Navarrete-Muñoz EM, Neal WA, Nenko I, Neovius M, Nervi F, Nguyen CT, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Norat T, Norie S, Noto D, Nsour MA, O'Reilly D, Obreja G, Oda E, Oehlers G, Oh K, Ohara K, Olafsson Ö, Olinto MTA, Oliveira IO, Oltarzewski M, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak A, Palli D, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Pascanu IM, Patel ND, Pecin I, Pednekar MS, Peer N, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Perez-Farinos N, Pérez CM, Peters A, Petkeviciene J, Petrauskiene A, Peykari N, Pham ST, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Prashant M, Price JF, Puder JJ, Pudule I, Puiu M, Punab M, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Rahman M, Raitakari O, Raj M, Rao SR, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rascon-Pacheco RA, Redon J, Reganit PFM, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, de Wit TFR, Rito A, Ritti-Dias RM, Rivera JA, Robinson SM, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Ronkainen K, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruiz-Betancourt BS, Russo P, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Salanave B, Martinez ES, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Marina LS, Santos DA, Santos IS, Santos O, dos Santos RN, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva S, Savy M, Scazufca M, Rosario AS, Schargrodsky H, Schienkiewitz A, Schipf S, Schmidt CO, Schmidt IM, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Serra-Majem L, Shalnova SA, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Shiri R, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Soekatri MYE, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Tautu OF, Braunerová RT, Taylor A, Tchibindat F, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Toselli S, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsugane S, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ugel EE, Ukoli FAM, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Vale S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen S, Vrijheid M, Wade AN, Wagner A, Waldhör T, Walton J, Bebakar WMW, Mohamud WNW, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yngve A, Yoshihara A, You QS, Younger-Coleman NO, Yusoff F, Yusoff MFM, Zaccagni L, Zafiropulos V, Zainuddin AA, Zambon S, Zampelas A, Zamrazilová H, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ, Bentham J, Di Cesare M, Bilano V, Bixby H, Zhou B, Stevens GA, Riley LM, Taddei C, Hajifathalian K, Lu Y, Savin S, Cowan MJ, Paciorek CJ, Chirita-Emandi A, Hayes AJ, Katz J, Kelishadi R, Kengne AP, Khang YH, Laxmaiah A, Li Y, Ma J, Miranda JJ, Mostafa A, Neovius M, Padez C, Rampal L, Zhu A, Bennett JE, Danaei G, Bhutta ZA, Ezzati M. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390:2627-2642. [PMID: 29029897 PMCID: PMC5735219 DOI: 10.1016/s0140-6736(17)32129-3] [Citation(s) in RCA: 3623] [Impact Index Per Article: 517.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 07/12/2017] [Accepted: 07/19/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. METHODS We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). FINDINGS Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. INTERPRETATION The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. FUNDING Wellcome Trust, AstraZeneca Young Health Programme.
Collapse
|
33
|
Snijder MB, Galenkamp H, Prins M, Derks EM, Peters RJG, Zwinderman AH, Stronks K. Cohort profile: the Healthy Life in an Urban Setting (HELIUS) study in Amsterdam, The Netherlands. BMJ Open 2017; 7:e017873. [PMID: 29247091 PMCID: PMC5736025 DOI: 10.1136/bmjopen-2017-017873] [Citation(s) in RCA: 150] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Ethnic minority groups usually have a more unfavourable disease risk profile than the host population. In Europe, ethnic inequalities in health have been observed in relatively small studies, with limited possibilities to explore underlying causes. The aim of the Healthy Life in an Urban Setting (HELIUS) study is to investigate the causes of (the unequal burden of) diseases across ethnic groups, focusing on three disease categories: cardiovascular diseases, mental health and infectious diseases. PARTICIPANTS The HELIUS study is a prospective cohort study among six large ethnic groups living in Amsterdam, the Netherlands. Between 2011 and 2015, a total 24 789 participants (aged 18-70 years) were included at baseline. Similar-sized samples of individuals of Dutch, African Surinamese, South-Asian Surinamese, Ghanaian, Turkish and Moroccan origin were included. Participants filled in an extensive questionnaire and underwent a physical examination that included the collection of biological samples (biobank). FINDINGS TO DATE Data on physical, behavioural, psychosocial and biological risk factors, and also ethnicity-specific characteristics (eg, culture, migration history, ethnic identity, socioeconomic factors and discrimination) were collected, as were measures of health outcomes (cardiovascular, mental health and infections). The first results have confirmed large inequalities in health between ethnic groups, such as diabetes and depressive symptoms, and also early markers of disease such as arterial wave reflection and chronic kidney disease, which can only just partially be explained by inequalities in traditional risk factors, such as obesity and socioeconomic status. In addition, the first results provided important clues for targeting prevention and healthcare. FUTURE PLANS HELIUS will be used for further research on the underlying causes of ethnic differences in health. Follow-up data will be obtained by repeated measurements and by linkages with existing registries (eg, hospital data, pharmacy data and insurance data).
Collapse
|
34
|
Muilwijk M, Celis-Morales C, Nicolaou M, Snijder MB, Gill JMR, van Valkengoed IGM. Plasma Cholesteryl Ester Fatty Acids do not Mediate the Association of Ethnicity with Type 2 Diabetes: Results From the HELIUS Study. Mol Nutr Food Res 2017; 62. [PMID: 28981995 DOI: 10.1002/mnfr.201700528] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 09/27/2017] [Indexed: 11/12/2022]
Abstract
SCOPE Ethnic minority groups have a higher risk of type 2 diabetes (T2D) than the host population. Our aim is to identify whether plasma cholesteryl ester fatty acids (CEFA) mediate the ethnic differences in type 2 diabetes. METHODS AND RESULTS We included 202 Dutch, 206 South-Asian Surinamese, 205 African Surinamese, 215 Turkish, and 213 Moroccan origin participants of the HELIUS study (Amsterdam, the Netherlands). Logistic regression is used to determine the associations between plasma CEFA and T2D. Mediation analysis is used to identify whether CEFA contributed to the association between ethnicity and T2D. We adjusted for ethnicity, age, sex, smoking, physical activity, and BMI. Associations between plasma CEFA and T2D were similar across all ethnic groups. Although differences in plasma CEFA across ethnic groups were observed, CEFA did not mediate the differences in T2D prevalence between ethnic groups. CONCLUSION Although ethnic differences in plasma CEFA are found and CEFA are associated with T2D, CEFA does not contribute to the difference in T2D prevalence between ethnic groups. If confirmed, this implies that maintenance of the more beneficial CEFA profiles in the non-Dutch ethnic groups may be encouraged to prevent an even higher prevalence of T2D in these groups.
Collapse
|
35
|
Anujuo K, Agyemang C, Snijder MB, Jean-Louis G, Born BJVD, Peters RJG, Stronks K. Contribution of short sleep duration to ethnic differences in cardiovascular disease: results from a cohort study in the Netherlands. BMJ Open 2017; 7:e017645. [PMID: 29151049 PMCID: PMC5702024 DOI: 10.1136/bmjopen-2017-017645] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 09/15/2017] [Accepted: 10/19/2017] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES We analysed association between short sleep duration and prevalence of cardiovascular disease (CVD) in a multiethnic population living in the Netherlands, and the contribution of short sleep to the observed ethnic differences in the prevalence of CVD, independent of CVD risk factors. METHODS 20 730 participants (aged 18-71 years) of the HELIUS (Healthy Life in an Urban Setting) Study were investigated. Self-reported sleep duration was classified as: short (<7 hours/night) and healthy (7-9 hours/night). Prevalence of CVD was assessed using the Rose Questionnaire on angina pectoris, intermittent claudication and possible myocardial infarction. Association of short sleep duration with prevalent CVD and the contribution of short sleep to the observed ethnic differences in the prevalence of CVD were analysed using adjusted prevalence ratio(s) (PRs) with 95% CI. RESULTS Results indicate that short sleep was associated with CVD among all ethnic groups with PRs ranging from 1.44 (95% CI 1.20 to 1.71) in Moroccans to 1.74 (95% CI 1.28 to 2.36) in Dutch after adjustment for age, sex and conventional CVD risk factors. The independent contributions of short sleep (in percentage) to ethnic differences in CVD compared with Dutch were 12%, 16%, 6%, 19% and 6% in South-Asian Surinamese, African-Surinamese, Ghanaian, Turkish and Moroccan, respectively. CONCLUSION Short sleep contributed to ethnic differences in CVD independent of well-known CVD risk factors particularly in Surinamese and Ghanaian groups. Reducing sleep deprivation may be a relevant entry point for reducing increased CVD risks among the various ethnic minority groups.
Collapse
|
36
|
Adjei DN, Stronks K, Adu D, Snijder MB, Modesti PA, Peters RJG, Vogt L, Agyemang C. Relationship between educational and occupational levels, and Chronic Kidney Disease in a multi-ethnic sample- The HELIUS study. PLoS One 2017; 12:e0186460. [PMID: 29091928 PMCID: PMC5665422 DOI: 10.1371/journal.pone.0186460] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 10/02/2017] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Ethnic minority groups in high-income countries are disproportionately affected by Chronic Kidney Disease (CKD) for reasons that are unclear. We assessed the association of educational and occupational levels with CKD in a multi-ethnic population. Furthermore, we assessed to what extent ethnic inequalities in the prevalence of CKD were accounted for by educational and occupational levels. METHODS Cross-sectional analysis of baseline data from the Healthy Life in an Urban Setting (HELIUS) study of 21,433 adults (4,525 Dutch, 3,027 South-Asian Surinamese, 4,105 African Surinamese, 2,314 Ghanaians, 3,579 Turks, and 3,883 Moroccans) aged 18 to 70 years living in Amsterdam, the Netherlands. Three CKD outcomes were considered using the 2012 KDIGO (Kidney Disease: Improving Global Outcomes) severity of CKD classification. Comparisons between educational and occupational levels were made using logistic regression analyses. RESULTS After adjustment for sex and age, low-level and middle-level education were significantly associated with higher odds of high to very high-risk of CKD in Dutch (Odds Ratio (OR) 2.10, 95% C.I., 1.37-2.95; OR 1.55, 95% C.I., 1.03-2.34). Among ethnic minority groups, low-level education was significantly associated with higher odds of high to very-high-risk CKD but only in South-Asian Surinamese (OR 1.58, 95% C.I., 1.06-2.34). Similar results were found for the occupational level in relation to CKD risk. CONCLUSION The lower educational and occupational levels of ethnic minority groups partly accounted for the observed ethnic inequalities in CKD. Reducing CKD risk in ethnic minority populations with low educational and occupational levels may help to reduce ethnic inequalities in CKD and its related complications.
Collapse
|
37
|
Galenkamp H, Stronks K, Snijder MB, Derks EM. Measurement invariance testing of the PHQ-9 in a multi-ethnic population in Europe: the HELIUS study. BMC Psychiatry 2017; 17:349. [PMID: 29065874 PMCID: PMC5655879 DOI: 10.1186/s12888-017-1506-9] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 10/08/2017] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND In Western European countries, the prevalence of depressive symptoms is higher among ethnic minority groups, compared to the host population. We explored whether these inequalities reflect variance in the way depressive symptoms are measured, by investigating whether items of the PHQ-9 measure the same underlying construct in six ethnic groups in the Netherlands. METHODS A total of 23,182 men and women aged 18-70 of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish or Moroccan origin were included in the HELIUS study and had answered to at least one of the PHQ-9 items. We conducted multiple group confirmatory factor analyses (MGCFA), with increasingly stringent model constraints (i.e. assessing Configural, Metric, Strong and Strict measurement invariance (MI)), and regression analysis, to confirm comparability of PHQ-9 items across ethnic groups. RESULTS A one-factor model, where all nine items reflect a single underlying construct, showed acceptable model fit and was used for MI testing. In each subsequent step, change in goodness-of-fit measures did not exceed 0.015 (RMSEA) or 0.01 (CFI). Moreover, strict invariance models showed good or acceptable model fit (Men: RMSEA = 0.050; CFI = 0.985; Women: RMSEA = 0.058; CFI = 0.979), indicating between-group equality of item clusters, factor loadings, item thresholds and residual variances. Finally, regression analysis did not indicate potential ethnicity-related differential item functioning (DIF) of the PHQ-9. CONCLUSIONS This study provides evidence of measurement invariance of the PHQ-9 regarding ethnicity, implying that the observed inequalities in depressive symptoms cannot be attributed to DIF.
Collapse
|
38
|
Bil JP, Prins M, Stolte IG, Dijkshoorn H, Heijman T, Snijder MB, Davidovich U, Zuure FR. Usage of purchased self-tests for HIV and sexually transmitted infections in Amsterdam, the Netherlands: results of population-based and serial cross-sectional studies among the general population and sexual risk groups. BMJ Open 2017; 7:e016609. [PMID: 28939577 PMCID: PMC5623511 DOI: 10.1136/bmjopen-2017-016609] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES There are limited data on the usage of commercially bought self-tests for HIV and other sexually transmitted infections (STIs). Therefore, we studied HIV/STI self-test usage and its determinants among the general population and sexual risk groups between 2007 and 2015 in Amsterdam, the Netherlands. SETTING Data were collected in four different studies among the general population (S1-2) and sexual risk groups (S3-4). PARTICIPANTS S1-Amsterdam residents participating in representative population-based surveys (2008 and 2012; n=6044) drawn from the municipality register; S2-Participants of a population-based study stratified by ethnicity drawn from the municipality register of Amsterdam (2011-2015; n=17 603); S3-Men having sex with men (MSM) participating in an HIV observational cohort study (2008 and 2013; n=597) and S4-STI clinic clients participating in a cross-sectional survey (2007-2012; n=5655). PRIMARY AND SECONDARY OUTCOME MEASURES Prevalence of HIV/STI self-test usage and its determinants. RESULTS The prevalence of HIV/STI self-test usage in the preceding 6-12 months varied between 1% and 2% across studies. Chlamydia self-tests were most commonly used, except among MSM in S3. Chlamydia and syphilis self-test usage increased over time among the representative sample of Amsterdam residents (S1) and chlamydia self-test usage increased over time among STI clinic clients (S4). Self-test usage was associated with African Surinamese or Ghanaian ethnic origin (S2), being woman or MSM (S1 and 4) and having had a higher number of sexual partners (S1-2). Among those in the general population who tested for HIV/STI in the preceding 12 months, 5-9% used a self-test. CONCLUSIONS Despite low HIV/STI self-test usage, we observed increases over time in chlamydia and syphilis self-test usage. Furthermore, self-test usage was higher among high-risk individuals in the general population. It is important to continue monitoring self-test usage and informing the public about the unknown quality of available self-tests in the Netherlands and about the pros and cons of self-testing.
Collapse
|
39
|
Perini W, Agyemang C, Snijder MB, Peters RJG, Kunst AE. Ethnic disparities in educational and occupational gradients of estimated cardiovascular disease risk: The Healthy Life in an Urban Setting study. Scand J Public Health 2017; 46:204-213. [PMID: 28699411 PMCID: PMC5871022 DOI: 10.1177/1403494817718906] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND European societies are becoming increasingly ethnically diverse. This may have important implications for socio-economic inequalities in health due to the often disadvantaged position of ethnic minority groups in both socio-economic status (SES) and disease, especially cardiovascular disease (CVD). OBJECTIVE The aim of this study was to determine whether the socio-economic gradient of estimated CVD risk differs between ethnic groups. METHODS Using the Healthy Life in an Urban Setting study, we obtained data on SES and CVD risk factors among participants from six ethnic backgrounds residing in Amsterdam. SES was measured using educational level and occupational level. CVD risk was estimated based on the occurrence of CVD risk factors using the Dutch version of the systematic coronary risk evaluation algorithm. Ethnic disparities in socio-economic gradients for estimated CVD risk were determined using the relative index of inequality (RII). RESULTS Among Dutch-origin men, the RII for estimated CVD risk according to educational level was 6.15% (95% confidence interval [CI] 4.35-7.96%), indicating that those at the bottom of the educational hierarchy had a 6.15% higher estimated CVD risk relative than those at the top. Among Dutch-origin women, the RII was 4.49% (CI 2.45-6.52%). The RII was lower among ethnic minority groups, ranging from 0.83% to 3.13% among men and -0.29% to 5.12% among women, indicating weaker associations among these groups. Results were similar based on occupational level. CONCLUSIONS Ethnic background needs to be considered in associations between SES and disease. The predictive value of SES varies between ethnic groups and may be quite poor for some groups.
Collapse
|
40
|
Borgdorff H, van der Veer C, van Houdt R, Alberts CJ, de Vries HJ, Bruisten SM, Snijder MB, Prins M, Geerlings SE, Schim van der Loeff MF, van de Wijgert JHHM. The association between ethnicity and vaginal microbiota composition in Amsterdam, the Netherlands. PLoS One 2017; 12:e0181135. [PMID: 28700747 PMCID: PMC5507447 DOI: 10.1371/journal.pone.0181135] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Accepted: 06/27/2017] [Indexed: 12/26/2022] Open
Abstract
Objective To evaluate whether ethnicity is independently associated with vaginal microbiota (VMB) composition in women living in Amsterdam, the Netherlands, as has been shown for American women. Methods Women (18–34 years, non-pregnant, N = 610) representing the six largest ethnic groups (Dutch, African Surinamese, South-Asian Surinamese, Turkish, Moroccan, and Ghanaian) were sampled from the population-based HELIUS study. Sampling was performed irrespective of health status or healthcare seeking behavior. DNA was extracted from self-sampled vaginal swabs and sequenced by Illumina MiSeq (16S rRNA gene V3-V4 region). Results The overall prevalence of VMBs not dominated by lactobacilli was 38.5%: 32.2% had a VMB resembling bacterial vaginosis and another 6.2% had a VMB dominated by Bifidobacteriaceae (not including Gardnerella vaginalis), Corynebacterium, or pathobionts (streptococci, staphylococci, Proteus or Enterobacteriaceae). The most prevalent VMB in ethnically Dutch women was a Lactobacillus crispatus-dominated VMB, in African Surinamese and Ghanaian women a polybacterial G. vaginalis-containing VMB, and in the other ethnic groups a L. iners-dominated VMB. After adjustment for sociodemographic, behavioral and clinical factors, African Surinamese ethnicity (adjusted odds ratio (aOR) 5.1, 95% confidence interval (CI) 2.1–12.0) and Ghanaian ethnicity (aOR 4.8, 95% CI 1.8–12.6) were associated with having a polybacterial G. vaginalis-containing VMB, and African Surinamese ethnicity with a L. iners-dominated VMB (aOR 2.8, 95% CI 1.2–6.2). Shorter steady relationship duration, inconsistent condom use with casual partners, and not using hormonal contraception were also associated with having a polybacterial G. vaginalis-containing VMB, but human papillomavirus infection was not. Other sexually transmitted infections were uncommon. Conclusions The overall prevalence of having a VMB not dominated by lactobacilli in this population-based cohort of women aged 18–34 years in Amsterdam was high (38.5%), and women of sub-Saharan African descent were significantly more likely to have a polybacterial G. vaginalis-containing VMB than Dutch women independent of modifiable behaviors.
Collapse
|
41
|
Brathwaite R, Smeeth L, Addo J, Kunst AE, Peters RJG, Snijder MB, Derks EM, Agyemang C. Ethnic differences in current smoking and former smoking in the Netherlands and the contribution of socioeconomic factors: a cross-sectional analysis of the HELIUS study. BMJ Open 2017; 7:e016041. [PMID: 28698339 PMCID: PMC5541454 DOI: 10.1136/bmjopen-2017-016041] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVES Data exploring how much of the ethnic differences in smoking prevalence and former smoking are explained by socioeconomic status (SES) are lacking. We therefore assessed ethnic differences in smoking prevalence and former smoking and the contribution of both educational level and occupational-related SES to the observed ethnic differences in smoking behaviour. METHODS Data of 22 929 participants (aged 18-70 years) from the multiethnic cross-sectional Healthy Life in an Urban Setting study in the Netherlands were analysed. Poisson regression models with a robust variance were used to estimate prevalence ratios. RESULTS Compared with the Dutch, after adjustment for age and marital status, smoking prevalence was higher in men of Turkish (prevalence ratio 1.69, 95% CI 1.54 to 1.86), African Surinamese (1.55, 95% CI 1.41 to 1.69) and South-Asian Surinamese origin (1.53, 95% CI 1.40 to 1.68), whereas among women, smoking prevalence was higher in Turkish, similar in African Surinamese but lower in all other ethnic origin groups. All ethnic minority groups, except Ghanaians, had a significantly lower smoking cessation prevalence than the Dutch. Socioeconomic gradients in smoking (higher prevalence among those lower educated and with lower level employment) were observed in all groups except Ghanaian women (a higher prevalence was observed in the higher educated). Ethnic differences in smoking prevalence and former smoking are largely, but not completely, explained by socioeconomic factors. CONCLUSIONS Our findings imply that antismoking policies designed to target smoking within the lower socioeconomic groups of ethnic minority populations may substantially reduce ethnic inequalities in smoking particularly among men and that certain groups may benefit from targeted smoking cessation interventions.
Collapse
|
42
|
Ikram UZ, Snijder MB, Derks EM, Peters RJG, Kunst AE, Stronks K. Parental Smoking and Adult Offspring’s Smoking Behaviors in Ethnic Minority Groups: An Intergenerational Analysis in the HELIUS Study. Nicotine Tob Res 2017; 20:766-774. [DOI: 10.1093/ntr/ntx137] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Accepted: 06/19/2017] [Indexed: 12/15/2022]
|
43
|
Visser MJ, Ikram UZ, Derks EM, Snijder MB, Kunst AE. Perceived ethnic discrimination in relation to smoking and alcohol consumption in ethnic minority groups in The Netherlands: the HELIUS study. Int J Public Health 2017; 62:879-887. [PMID: 28508943 PMCID: PMC5641269 DOI: 10.1007/s00038-017-0977-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 04/29/2017] [Accepted: 05/02/2017] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES We examined the associations of perceived ethnic discrimination (PED) with smoking and alcohol consumption in ethnic minority groups residing in a middle-sized European city. METHODS Data were derived from the HELIUS study in Amsterdam, The Netherlands. We included 23,126 participants aged 18-70 years of Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Turkish, and Moroccan origin. We collected self-reported data on PED, current smoking, heavy smoking, nicotine dependence, current drinking, excessive drinking, and alcohol dependence. Logistic regression was used. RESULTS In general, we observed positive associations in participants of African Surinamese and Ghanaian origin, but no associations in those of South-Asian Surinamese, Turkish, or Moroccan origin. In African Surinamese, the associations were positive for current smoking, nicotine, and alcohol dependence (odds ratios of 1.16; 95% confidence interval: 1.06-1.27, 1.34; 1.15-1.57 and 1.40; 1.20-1.64, respectively). In Ghanaians, positive association was observed for current drinking (1.21; 1.08-1.36). CONCLUSIONS The associations of PED with smoking and alcohol consumption considerably varied by ethnicity and outcome measure. This suggests that ethnic minority groups in Europe might use different behavioural strategies to cope with PED.
Collapse
|
44
|
Slotman A, Snijder MB, Ikram UZ, Schene AH, Stevens GWJM. The role of mastery in the relationship between perceived ethnic discrimination and depression: The HELIUS study. CULTURAL DIVERSITY & ETHNIC MINORITY PSYCHOLOGY 2017; 23:200-208. [PMID: 27454888 DOI: 10.1037/cdp0000113] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
OBJECTIVE This study examined the mediating and moderating role of one's sense of mastery in the relationship between perceived ethnic discrimination and depression. METHOD Questionnaire data from participants of the Healthy Life in an Urban Setting (HELIUS) study were used, containing responses from 9,141 Surinamese, Turkish, Moroccan, and Ghanaian immigrant adults, aged 18 to 70, living in Amsterdam, the Netherlands. RESULTS Results of path modeling indicated that perceptions of ethnic discrimination were positively related to depression symptomatology, and this relationship was moderated and partially mediated by mastery. Results remained fairly robust across sex, educational level, immigrant generation, and ethnicity. CONCLUSION This study indicated that mastery may both serve a moderating and mediating role in the relationship between perceived ethnic discrimination and depression, suggestive of a process in which the impact of perceiving discrimination becomes increasingly more deteriorating over time. Thus, interventions focused on mastery may potentially be beneficial to improve ethnic minority mental health. (PsycINFO Database Record
Collapse
|
45
|
Minneboo M, Lachman S, Snijder MB, Vehmeijer JT, Jørstad HT, Peters RJG. Risk factor control in secondary prevention of cardiovascular disease: results from the multi-ethnic HELIUS study. Neth Heart J 2017; 25:250-257. [PMID: 28181106 PMCID: PMC5355388 DOI: 10.1007/s12471-017-0956-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE To evaluate the quality of contemporary secondary prevention of cardiovascular disease (CVD), and the differences between six ethnic groups in a large, observational cohort. DESIGN We included participants with a self-reported history of CVD from the HEalthy LIfe in an Urban Setting (HELIUS) study, which investigates inequalities in health between six ethnic groups living in Amsterdam, the Netherlands. We quantified the proportions of patients who were at the preventive treatment goal according to the guidelines of the European Society of Cardiology for six risk factors: hypertension, dyslipidaemia, smoking, overweight, physical inactivity and diabetes mellitus, and the use preventive medication. RESULTS Of 22,165 participants, 1163 (5%) reported a history of CVD. Mean age was 54 years. Overall, 69% had a systolic blood pressure of <140 mm Hg, and 42% had a low-density lipoprotein (LDL) cholesterol of <2.5 mmol/l. Non-smoking was found in 67%. Body mass index (BMI) <25 kg/m2 was found in 24%, and 54% reported adequate physical activity. The mean number of risk factors per patient was three (±1.1) out of six, and only 2% had all risk factors on target. Across the ethnic groups, non-smoking was more prevalent in the Ghanaian and Moroccan groups than in the Dutch (p < 0.001 and p = 0.001, respectively); BMI <25 kg/m2 and adequate physical activity were less prevalent among all ethnic minority groups compared with the Dutch group. CONCLUSION We found large treatment gaps in secondary prevention of CVD. Ethnic differences in risk factors were found; however, strategies to improve overall risk factor management may be mandated before designing ethnic-specific strategies.
Collapse
|
46
|
Alberts CJ, Michel A, Bruisten S, Snijder MB, Prins M, Waterboer T, Schim van der Loeff MF. High-risk human papillomavirus seroprevalence in men and women of six different ethnicities in Amsterdam, the Netherlands: The HELIUS study. ACTA ACUST UNITED AC 2017; 3:57-65. [PMID: 28720457 PMCID: PMC5883189 DOI: 10.1016/j.pvr.2017.01.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Revised: 12/09/2016] [Accepted: 01/30/2017] [Indexed: 12/17/2022]
Abstract
Background Ethnic variations in the (sero)prevalence of Human Papillomavirus (HPV) and HPV related diseases have been observed previously. We explored if high-risk HPV (hrHPV) seropositivity indeed differs among 6 ethnic groups in Amsterdam the Netherlands and assessed if hrHPV seroprevalence is higher among women than men within each ethnic group, both after adjustment for confounders. Methods From the multi-ethnic HEalthy Life In an Urban Setting (HELIUS) study in Amsterdam (the Netherlands) we randomly selected 4637 men and women aged 18–44 years with a Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Moroccan, or Turkish ethnicity. Blood samples were tested for HPV-16,−18,−31,−33,−45,−52, and −58 antibodies using a validated Luminex-based multiplex serology assay. We assessed the association of both ethnicity and gender with hrHPV seropositivity using logistic regression models with generalised estimating equations. Results The hrHPV seroprevalence in Dutch, South-Asian Surinamese, African Surinamese, Ghanaian, Moroccan, and Turkish participants was 18%, 12%, 23%, 19%, 17%, and 15% in men, and 30%, 22%, 34%, 31%, 14%, and 15% in women, respectively. HrHPV seroprevalence of non-Dutch men did not differ significantly from Dutch men. HrHPV seroprevalence was significantly higher among African Surinamese women, and significantly lower among Moroccan and Turkish women when compared to Dutch women. These differences were not significant anymore after adjustment for demographic, health, and sexual behavioural differences between ethnicities. HrHPV seroprevalence varied by age, age of sexual debut, and lifetime sexual partners among women but not among men. Seroprevalence of hrHPV was higher among women than among men, except in the Turkish group. Conclusion Among women hrHPV seroprevalence differed by ethnicity, yet among men no pronounced differences were observed across ethnicities. Women have a higher hrHPV seroprevalence than men, except in the Turkish group. Seroprevalence of hrHPV varies by ethnicity among women in Amsterdam. Among men no pronounced differences in hrHPV seroprevalence by ethnicity are observed. Differences by ethnicity in women are attributable to differences in sexual behaviour. HPV serology is not a useful indicator of sexual exposure among heterosexual men.
Collapse
|
47
|
Raza Q, Snijder MB, Seidell JC, Peters RJG, Nicolaou M. Comparison of cardiovascular risk factors and dietary intakes among Javanese Surinamese and South-Asian Surinamese in the Netherlands. The HELIUS study. BMC Res Notes 2017; 10:23. [PMID: 28061789 PMCID: PMC5219699 DOI: 10.1186/s13104-016-2352-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Accepted: 12/17/2016] [Indexed: 11/24/2022] Open
Abstract
Background Ethnic differences regarding the percent of non-communicable diseases have been shown in Asia but the studies on Asian subgroups living in the western countries regarding percent of cardiovascular risk factors and dietary intakes have been scarce. Therefore we compared the percent of cardiovascular risk factors and dietary intakes between Javanese Surinamese who are originally from Indonesia and South-Asian Surinamese who are originally from India. Methods Cross-sectional baseline data of the HELIUS (Healthy Life in an Urban Setting) study were used, including data of 2935 Surinamese participants (197 of Javanese and 2738 of South-Asian origin) out of which 1160 participants (78 Javanese and 1082 South-Asian) additionally reported dietary intake data. Descriptive statistics were used to compare the two ethnic groups regarding cardiovascular disease, diabetes, obesity, hypertension and hypercholesterolemia; in addition, dietary intake of foods like vegetables, red meat, fruit, high fibre foods, low fibre foods, high fat and low fat dairy products, chicken and sugar sweetened beverages were also compared between the two groups. Binary logistic regression analyses were used to adjust for age and sex when comparing the two groups. Results South-Asian Surinamese had a significantly higher percent of abdominal obesity (OR 2.44; CI 1.66–3.57), cardiovascular disease (OR 2.55; CI 1.48–4.35) and diabetes (OR 2.77; CI 1.67–4.60) as compared with Javanese Surinamese after adjustment for age and sex. The percent of obesity (BMI), hypertension, and lipids was not significantly different between the ethnic groups. Javanese Surinamese had a significantly higher intake of red meat and a significantly lower intake of dairy products as compared with South-Asian Surinamese. Intakes of vegetables, grains, fish, fruits, tea and coffee did not significantly differ between the ethnic groups. Both groups showed intake of considerable amount of sugar sweetened beverages. Conclusions Public health practitioners in the Netherlands and elsewhere in the world should take into account the ethnic subgroup differences within the broader groups like Asians when developing interventions related to health among ethnic minorities.
Collapse
|
48
|
Snijder MB, Agyemang C, Peters RJ, Stronks K, Ujcic-Voortman JK, van Valkengoed IGM. Case Finding and Medical Treatment of Type 2 Diabetes among Different Ethnic Minority Groups: The HELIUS Study. J Diabetes Res 2017; 2017:9896849. [PMID: 28154830 PMCID: PMC5244015 DOI: 10.1155/2017/9896849] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 12/13/2016] [Indexed: 12/21/2022] Open
Abstract
Aims. Prevention of diabetes complications depends on the level of case finding and successful treatment of diabetes, which may differ between ethnicities. Therefore, we studied the prevalence by age, awareness, treatment, and control of type 2 diabetes, among a multiethnic population. Methods. We included 4,541 Dutch, 3,032 South-Asian Surinamese, 4,109 African Surinamese, 2,323 Ghanaian, 3,591 Turkish, and 3,887 Moroccan participants (aged 18-70 y) from the HELIUS study. The prevalence of diabetes was analysed by sex, ethnicity, and 10-year age groups. Ethnic differences in the prevalence, awareness, treatment, and control of diabetes were studied by logistic regression. Results. From the age of 31-40 years and older, the prevalence of diabetes was 3 to 12 times higher among ethnic minority groups than that among the Dutch host population. Awareness and medical treatment of diabetes were 2 to 5 times higher among ethnic minorities than that among Dutch. Among those medically treated, only 37-53% had HbA1c levels on target (≤7.0%); only Dutch men had HbA1c levels on target more often (67%). Conclusions. Our results suggest that the age limit for case finding among ethnic minority groups should be lower than that for the general population. Importantly, despite higher awareness and treatment among ethnic minorities, glycemic control was low, suggesting a need for increased efforts to improve the effectiveness of treatment in these groups.
Collapse
|
49
|
Eeftinck Schattenkerk DW, van Gorp J, Snijder MB, Zwinderman AH, Agyemang CO, Peters RJG, van den Born BJH. Correction: Ethnic Differences in Arterial Wave Reflection Are Mostly Explained by Differences in Body Height-Cross-Sectional Analysis of the HELIUS Study. PLoS One 2016; 11:e0168620. [PMID: 27977786 PMCID: PMC5158071 DOI: 10.1371/journal.pone.0168620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0160243.].
Collapse
|
50
|
Schmengler H, Ikram UZ, Snijder MB, Kunst AE, Agyemang C. Association of perceived ethnic discrimination with general and abdominal obesity in ethnic minority groups: the HELIUS study. J Epidemiol Community Health 2016; 71:453-460. [PMID: 27965316 DOI: 10.1136/jech-2016-207875] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 11/01/2016] [Accepted: 11/25/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Discrimination is associated with obesity, but this may differ according to the type of obesity and ethnic group. This study examines the association of perceived ethnic discrimination (PED) with general and abdominal obesity in 5 ethnic minority groups. METHODS We used cross-sectional data from the HELIUS study, collected from 2011 to 2015. The study sample included 2297 Ghanaians, 4110 African Surinamese, 3021 South-Asian Surinamese, 3562 Turks and 3868 Moroccans aged 18-70 years residing in Amsterdam, the Netherlands. Body mass index (BMI) was used as a measure for general obesity, and waist circumference (WC) for abdominal obesity. PED was measured using the Everyday Discrimination Scale. We used linear regression models adjusted for sociodemographics, psychosocial stressors and health behaviours. In additional analysis, we used standardised variables to compare the strength of the associations. RESULTS In adjusted models, PED was significantly, positively associated with BMI in the South-Asian Surinamese (β coefficient 0.338; 95% CI 0.106 to 0.570), African Surinamese (0.394; 0.171 to 0.618) and Turks (0.269; 0.027 to 0.510). For WC, a similar pattern was seen: positive associations in the South-Asian Surinamese (0.759; 0.166 to 1.353), African Surinamese (0.833; 0.278 to 1.388) and Turks (0.870; 0.299 to 1.440). When stratified by sex, we found positive associations in Surinamese women, Turkish men and Moroccan men. The strength of the associations with BMI and WC was comparable in the groups. Among the Ghanaians, no significant associations were observed. CONCLUSIONS Ethnic and sex variations are observed in the association of PED with both general and abdominal obesity. Further research on psychosocial buffers and underlying biological mechanisms might help in understanding these variations.
Collapse
|